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3
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47492c2aee
| Author | SHA1 | Date | |
|---|---|---|---|
 bob
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47492c2aee
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bob
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1d5db23dcd
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bob
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cc12bb9190
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No files matched your search
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oauth_creds.json
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tmp/bin/*
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state.json
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extensions
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antigravity
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{
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"active": "bob@dxw.com",
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"old": []
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}
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/Users/bob/git/dxw/aws-stuff
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/Users/bob/git/dxw/baspress
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/Users/bob/git/rjw1/beer-list
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/Users/bob/git/dxw/dalmatian-config
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/Users/bob/git/dxw/dalmatian
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/Users/bob/git/dxw/find-security-updates
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/Users/bob/dxw/gemini-developmnet
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/Users/bob/.gemini
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/Users/bob/git/dxw/natcen
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/Users/bob/git/rjw1/randomness-puppet
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/Users/bob/git/dxw/discovery_policy_atlas/backend/supabase
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/Users/bob/git/rjw1/sympl-config
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/Users/bob/git/dxw/terraform-dxw-dalmatian-infrastructure
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/Users/bob/.config/dalmatian/.cache/tfvars
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/Users/bob/git/dxw/uptimes
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a7b0d610-c320-4539-8219-c16d8c3509d3
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{
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||||||
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"projects": {
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||||||
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"/Users/bob/git/rjw1/sympl-config": "sympl-config",
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"/Users/bob/git/dxw/uptimes": "uptimes",
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"/Users/bob/git/dxw/dalmatian": "dalmatian",
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"/Users/bob/git/dxw/find-security-updates": "find-security-updates",
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"/Users/bob/git/dxw/baspress": "baspress",
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"/Users/bob/dxw/gemini-developmnet": "gemini-developmnet",
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"/Users/bob/.gemini": "gemini",
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"/Users/bob/git/dxw/aws-stuff": "aws-stuff",
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"/Users/bob/git/dxw/discovery_policy_atlas/backend/supabase": "supabase",
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"/Users/bob/git/dxw/natcen": "natcen",
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"/Users/bob/git/rjw1/beer-list": "beer-list",
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"/Users/bob/git/rjw1/randomness-puppet": "randomness-puppet",
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"/Users/bob/git/dxw/terraform-dxw-dalmatian-infrastructure": "terraform-dxw-dalmatian-infrastructure",
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"/Users/bob/git/dxw/dalmatian-config": "dalmatian-config",
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"/Users/bob/.config/dalmatian/.cache/tfvars": "tfvars"
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}
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}
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+37
-3
@@ -10,7 +10,12 @@
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"general": {
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"general": {
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||||||
"preferredEditor": "neovim",
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"preferredEditor": "neovim",
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"previewFeatures": true,
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"previewFeatures": true,
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"enablePromptCompletion": true
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"enablePromptCompletion": true,
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"sessionRetention": {
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"warningAcknowledged": true,
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"enabled": true,
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"maxAge": "3650d"
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}
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},
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},
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"context": {
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"context": {
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"fileName": [
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"fileName": [
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@@ -31,9 +36,38 @@
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"tools": {
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"tools": {
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"shell": {
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"shell": {
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"showColor": true
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"showColor": true
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}
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},
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"enableHooks": true
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},
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},
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"ui": {
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"ui": {
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"showStatusInTitle": true
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"showStatusInTitle": true
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},
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"hooks": {
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"Notification": [
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{
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"matcher": "",
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"hooks": [
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{
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"name": "code-notify-notification",
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"type": "command",
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"command": "/opt/homebrew/lib/code-notify/core/notifier.sh notification gemini",
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"description": "Desktop notification when input needed"
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}
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]
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}
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],
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"AfterAgent": [
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{
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"matcher": "",
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"hooks": [
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{
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"name": "code-notify-complete",
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"type": "command",
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"command": "/opt/homebrew/lib/code-notify/core/notifier.sh stop gemini",
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"description": "Desktop notification when task complete"
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}
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]
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}
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]
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}
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}
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}
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}
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/Users/bob/git/dxw/aws-stuff
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# Parent AWS profile for Organizations and SSO login
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AWS_PARENT_PROFILE=dxw.admin
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# AWS Organization Unit IDs to scan (comma-separated)
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OU_IDS=ou-h0vo-32wgvd6w,ou-h0vo-0waugyoz
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# AWS Account IDs to skip (comma-separated)
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# SKIP_ACCOUNTS=123456789012,987654321098
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{
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||||||
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"sessionId": "a4c15690-4f5b-4d42-9cb0-ded73814a54d",
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||||||
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"projectHash": "c4ece9c032ac20d038bbd73e9aa5f86cb3fd24c826b8e99b6edcd77db288fcb1",
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||||||
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"startTime": "2026-01-28T16:27:36.892Z",
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||||||
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"lastUpdated": "2026-02-11T17:20:00.436Z",
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||||||
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"messages": [
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||||||
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{
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||||||
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"id": "810ab1f6-a0f8-4602-82cd-f7920ffc7504",
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||||||
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"timestamp": "2026-01-28T16:27:36.893Z",
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"type": "user",
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"content": "write a script to summarise a file like ecsv_12_2025.csv sumarise based on linkedaccount"
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},
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{
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"id": "91dbc5d9-7620-48f6-9e42-31bf871447f1",
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"timestamp": "2026-01-28T16:28:31.433Z",
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"type": "info",
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||||||
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"content": "Switched to fallback model gemini-3-flash-preview"
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||||||
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},
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||||||
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{
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||||||
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"id": "26262f69-f8d6-4a97-affe-8c6baf8cec34",
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||||||
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"timestamp": "2026-01-28T16:28:49.502Z",
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||||||
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"type": "gemini",
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||||||
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"content": "I will read the first few lines of `ecsv_12_2025.csv` to understand its structure and column names.",
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"thoughts": [
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{
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||||||
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"subject": "Assessing the Data Structure",
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||||||
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"description": "I'm now diving into the `ecsv_12_2025.csv` file, to understand the layout. I need to figure out how the data is organized. My primary goal is to determine the column names and data types, especially the `linkedaccount` field. I will need to understand what the different values in this column mean.",
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"timestamp": "2026-01-28T16:28:47.714Z"
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||||||
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},
|
||||||
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{
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||||||
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"subject": "Mapping the Approach",
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||||||
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"description": "I've sketched out the initial steps for the script. My plan is to start with a peek at the CSV structure, particularly the column names, using `pandas`. Following this, I'll leverage `pandas` for grouping by `linkedaccount` and calculating the aggregate of suitable columns. I anticipate needing to handle potential data type inconsistencies.",
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||||||
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"timestamp": "2026-01-28T16:28:49.208Z"
|
||||||
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}
|
||||||
|
],
|
||||||
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"tokens": {
|
||||||
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"input": 21105,
|
||||||
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"output": 54,
|
||||||
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"cached": 0,
|
||||||
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"thoughts": 220,
|
||||||
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"tool": 0,
|
||||||
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"total": 21379
|
||||||
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},
|
||||||
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"model": "gemini-3-flash-preview",
|
||||||
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"toolCalls": [
|
||||||
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{
|
||||||
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"id": "read_file-1769617729493-ca62180ca6ba48",
|
||||||
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"name": "read_file",
|
||||||
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"args": {
|
||||||
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"limit": 5,
|
||||||
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"file_path": "ecsv_12_2025.csv"
|
||||||
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},
|
||||||
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"result": [
|
||||||
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{
|
||||||
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"functionResponse": {
|
||||||
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"id": "read_file-1769617729493-ca62180ca6ba48",
|
||||||
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"name": "read_file",
|
||||||
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"response": {
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||||||
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"output": "\nIMPORTANT: The file content has been truncated.\nStatus: Showing lines 1-5 of 6106 total lines.\nAction: To read more of the file, you can use the 'offset' and 'limit' parameters in a subsequent 'read_file' call. For example, to read the next section of the file, use offset: 5.\n\n--- FILE CONTENT (truncated) ---\n\"InvoiceID\",\"PayerAccountId\",\"LinkedAccountId\",\"RecordType\",\"RecordID\",\"BillingPeriodStartDate\",\"BillingPeriodEndDate\",\"InvoiceDate\",\"PayerAccountName\",\"LinkedAccountName\",\"TaxationAddress\",\"PayerPONumber\",\"ProductCode\",\"ProductName\",\"SellerOfRecord\",\"UsageType\",\"Operation\",\"RateId\",\"ItemDescription\",\"UsageStartDate\",\"UsageEndDate\",\"UsageQuantity\",\"BlendedRate\",\"CurrencyCode\",\"CostBeforeTax\",\"Credits\",\"TaxAmount\",\"TaxType\",\"TotalCost\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-549\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EUW2-DEL1-AWS-In-Bytes\",\"\",\"288403813169\",\"$0.00 per GB - EU (London) data transfer from India (Delhi)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00000102\",\"\",\"USD\",\"0.00\",\"0.0\",\"0.000000\",\"None\",\"0.000000\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-548\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AmazonRDS\",\"Amazon Relational Database Service\",\"Amazon Web Services EMEA SARL\",\"EU-RDS:GP2-Storage\",\"CreateDBInstance:0002\",\"330631478562\",\"$0.127 per GB-month of provisioned gp2 storage running MySQL\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"24.99999960\",\"\",\"USD\",\"3.17\",\"0.0\",\"0.633979\",\"VAT\",\"3.803979\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-547\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"USE1-USW1-AWS-Out-Bytes\",\"\",\"288403836170\",\"$0.02 per GB - US East (Northern Virginia) data transfer to US West (Northern California)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00329128\",\"\",\"USD\",\"0.00\",\"0.0\",\"0.000000\",\"None\",\"0.000000\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-546\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AWSGlobalAccelerator\",\"AWS Global Accelerator\",\"Amazon Web Services EMEA SARL\",\"EU-AP-IN-Bytes-Internet\",\"Non-dominant\",\"62279337567\",\"$0 per GB - DT-Premium-from-Asia-Pacific-Internet-clients-in-to-Europe-regions\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"3.54829929\",\"\",\"USD\",\"0.00\",\"0.0\",\"0.000000\",\"None\",\"0.000000\""
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:28:49.548Z",
|
||||||
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"resultDisplay": "Read lines 1-5 of 6106 from ecsv_12_2025.csv",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "dc5bccf7-60b2-420a-8388-68e6a08c4872",
|
||||||
|
"timestamp": "2026-01-28T16:29:08.448Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll examine `service-spend-by-account.py` to understand the existing conventions for billing scripts in this project.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Planning Script Execution",
|
||||||
|
"description": "I'm currently outlining the script's structure. It'll use pandas to handle the CSV data, specifically grouping by linked account ID and name to sum the total costs. The initial implementation will focus on these core aggregations.",
|
||||||
|
"timestamp": "2026-01-28T16:29:07.323Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Structuring Data Analysis Script",
|
||||||
|
"description": "I'm now thinking about how to handle the CSV's columns, specifically `LinkedAccountId`, `LinkedAccountName`, `TotalCost`, `CostBeforeTax`, `TaxAmount`, and `ProductName`. I'm leaning toward writing a `summarize_billing.py` script. Pandas will be perfect for grouping by account and summing the total cost. I'll also look at similar scripts, to maintain consistency.",
|
||||||
|
"timestamp": "2026-01-28T16:29:08.161Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 15708,
|
||||||
|
"output": 46,
|
||||||
|
"cached": 0,
|
||||||
|
"thoughts": 162,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 15916
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file-1769617748442-895b8b0a17b858",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "service_spend_by_account.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file-1769617748442-895b8b0a17b858",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"error": "File not found: /Users/bob/git/dxw/aws-stuff/service_spend_by_account.py"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "error",
|
||||||
|
"timestamp": "2026-01-28T16:29:08.452Z",
|
||||||
|
"resultDisplay": "File not found: /Users/bob/git/dxw/aws-stuff/service_spend_by_account.py",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "41866c24-d86a-406f-8e09-c6fdcb2c4172",
|
||||||
|
"timestamp": "2026-01-28T16:29:23.599Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll read `service-spend-by-account.py` to see how it handles CSV files and if it uses `pandas`.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Spotting the Error",
|
||||||
|
"description": "I realized my mistake. The file name was not what I initially thought. It was `service-spend-by-account.py`, not what was on my radar earlier. This changes the direction I need to take.",
|
||||||
|
"timestamp": "2026-01-28T16:29:23.303Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 15781,
|
||||||
|
"output": 48,
|
||||||
|
"cached": 12808,
|
||||||
|
"thoughts": 25,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 15854
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file-1769617763594-65ea5aaa98edf8",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "service-spend-by-account.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file-1769617763594-65ea5aaa98edf8",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "import boto3\nfrom datetime import datetime, timedelta\n\ndef get_service_costs_for_account(target_account_id):\n ce = boto3.client('ce')\n\n # 1. Date Setup\n today = datetime.today()\n first_curr = today.replace(day=1)\n m1_start_dt = (first_curr - timedelta(days=1)).replace(day=1)\n m2_start_dt = (m1_start_dt - timedelta(days=1)).replace(day=1)\n \n m1_s, m2_s = m1_start_dt.strftime('%Y-%m-%d'), m2_start_dt.strftime('%Y-%m-%d')\n m1_n, m2_n = m1_start_dt.strftime('%b %Y'), m2_start_dt.strftime('%b %Y')\n\n try:\n response = ce.get_cost_and_usage(\n TimePeriod={'Start': m2_s, 'End': first_curr.strftime('%Y-%m-%d')},\n Granularity='MONTHLY',\n Metrics=['UnblendedCost'],\n Filter={'Dimensions': {'Key': 'LINKED_ACCOUNT', 'Values': [target_account_id]}},\n GroupBy=[{'Type': 'DIMENSION', 'Key': 'SERVICE'}]\n )\n\n service_data = {}\n for period in response['ResultsByTime']:\n d = period['TimePeriod']['Start']\n for g in period['Groups']:\n svc = g['Keys'][0]\n cost = float(g['Metrics']['UnblendedCost']['Amount'])\n if svc not in service_data: service_data[svc] = {m2_s: 0.0, m1_s: 0.0}\n service_data[svc][d] = cost\n\n # 2. Print Table\n header = f\"{'AWS Service':<35} | {m2_n:>11} | {m1_n:>11} | {'Change $':>10} | {'Change %'}\"\n print(f\"\\nBreakdown for: {target_account_id}\\n\" + \"=\"*len(header))\n print(header + \"\\n\" + \"-\"*len(header))\n\n for svc, costs in sorted(service_data.items(), key=lambda x: x[1][m1_s], reverse=True):\n c2, c1 = costs[m2_s], costs[m1_s]\n if c1 == 0 and c2 == 0: continue\n diff = c1 - c2\n \n # Percentage Logic\n perc_str = f\"{(diff/c2)*100:>+7.1f}%\" if c2 > 0 else (\" New \" if c1 > 0 else \" 0.0% \")\n\n print(f\"{svc[:34]:<35} | ${c2:>10,.2f} | ${c1:>10,.2f} | ${diff:>9.2f} | {perc_str}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n aid = input(\"Enter 12-digit Account ID: \").strip()\n get_service_costs_for_account(aid)"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:29:23.619Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "fa042a92-905a-46b6-956b-a0ec337775cc",
|
||||||
|
"timestamp": "2026-01-28T16:29:26.584Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll read `aws-cost.rb` to see if it processes local CSV files.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Analyzing Script's Functionality",
|
||||||
|
"description": "I'm now focusing on how the script interacts with AWS using `boto3` to retrieve cost information. My current line of thought involves checking the ruby script `aws-cost.rb` to see if it provides any clues on how to handle the CSV files. I am hoping to connect the script to the user's needs.",
|
||||||
|
"timestamp": "2026-01-28T16:29:26.345Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 16609,
|
||||||
|
"output": 35,
|
||||||
|
"cached": 12915,
|
||||||
|
"thoughts": 66,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 16710
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file-1769617766580-16d3a3ba494a3",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "aws-cost.rb"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file-1769617766580-16d3a3ba494a3",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "require 'aws-sdk-costexplorer'\nrequire 'aws-sdk-organizations'\nrequire 'date'\n\n# Initialize the Cost Explorer and Organizations clients\ncost_client = Aws::CostExplorer::Client.new(region: 'us-east-1')\norg_client = Aws::Organizations::Client.new(region: 'us-east-1')\n\n# Function to retrieve account names from the organizations API\ndef fetch_account_names(org_client)\n account_map = {}\n\n # Fetch all accounts under the organization\n org_client.list_accounts.each do |response|\n response.accounts.each do |account|\n account_map[account.id] = account.name\n end\n end\n\n account_map\nend\n\n# Function to retrieve AWS cost report grouped by account and service,\n# including savings details for EC2\ndef fetch_costs_with_savings(cost_client, org_client, start_date, end_date)\n # Get the map of account IDs to account names\n account_map = fetch_account_names(org_client)\n\n response = cost_client.get_cost_and_usage({\n time_period: {\n start: start_date,\n end: end_date\n },\n granularity: 'MONTHLY',\n metrics: ['UnblendedCost', 'AmortizedCost', 'NetAmortizedCost', 'NetUnblendedCost'],\n group_by: [\n {\n type: 'DIMENSION',\n key: 'LINKED_ACCOUNT' # Group by account\n },\n {\n type: 'DIMENSION',\n key: 'SERVICE' # Group by service within each account\n }\n ]\n })\n\n # Check if the response has results\n if response.results_by_time.empty?\n puts \"No cost data available for the specified period.\"\n return\n end\n\n # Iterate through each result and display relevant costs for EC2 services\n response.results_by_time.each do |result|\n date = result.time_period.start\n puts \"Billing Period: #{date}\"\n\n if result.groups.empty?\n puts \"No cost data available for EC2 services.\"\n end\n\n result.groups.each do |group|\n account_id = group.keys[0]\n service = group.keys[1]\n\n # Check if the service is EC2 (Amazon Elastic Compute Cloud - Compute)\n if service.include?('Amazon Elastic Compute Cloud')\n unblended_cost = group.metrics['UnblendedCost']['amount']\n amortized_cost = group.metrics['AmortizedCost']['amount']\n net_amortized_cost = group.metrics['NetAmortizedCost']['amount']\n net_unblended_cost = group.metrics['NetUnblendedCost']['amount']\n unit = group.metrics['UnblendedCost']['unit']\n\n # Fetch account name, fall back to account ID if not found\n account_name = account_map[account_id] || account_id\n\n puts \"Account: #{account_name} | Service: #{service}\"\n puts \" - Total Cost (Unblended): #{unblended_cost} #{unit}\"\n puts \" - Net Cost (Amortized): #{net_amortized_cost} #{unit}\"\n puts \" - Net Cost (Unblended): #{net_unblended_cost} #{unit}\"\n puts \" - Final Cost (Amortized): #{amortized_cost} #{unit}\"\n end\n end\n end\nend\n\n# Calculate the first and last day of the previous month\ntoday = Date.today\nstart_date = Date.new(today.year, today.month - 1, 1)\nend_date = Date.new(today.year, today.month, 1) - 1\n\nputs \"Fetching AWS EC2 costs with compute savings from #{start_date} to #{end_date}...\"\n\nfetch_costs_with_savings(cost_client, org_client, start_date.to_s, end_date.to_s)\n"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:29:26.604Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "39252346-483a-4a3a-894e-cbb4a5a5d482",
|
||||||
|
"timestamp": "2026-01-28T16:29:36.649Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll search for scripts that use `pandas` or `csv` to see how other CSV files are being processed.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Examining CSV Scripts",
|
||||||
|
"description": "I'm presently focused on the SDK. My next step involves a search for existing scripts capable of reading CSV files. This should provide some useful patterns.",
|
||||||
|
"timestamp": "2026-01-28T16:29:36.316Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 17591,
|
||||||
|
"output": 38,
|
||||||
|
"cached": 16266,
|
||||||
|
"thoughts": 18,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 17647
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "search_file_content-1769617776648-2bc44f402e9b3",
|
||||||
|
"name": "search_file_content",
|
||||||
|
"args": {
|
||||||
|
"pattern": "pandas|csv"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "search_file_content-1769617776648-2bc44f402e9b3",
|
||||||
|
"name": "search_file_content",
|
||||||
|
"response": {
|
||||||
|
"output": "Found 34 matches for pattern \"pandas|csv\" in path \".\":\n---\nFile: aws-vpc.py\nL2: import csv\nL67: # Open CSV file for writing VPC information\nL68: with open('aws_vpcs_by_region.csv', mode='w', newline='') as csvfile:\nL69: # Define the fieldnames for the CSV header\nL71: writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\nL97: # Write VPC information to CSV\nL122: print(\"\\nCSV file 'aws_vpcs_by_region.csv' generated successfully.\")\n---\nFile: aws-ec2-ami.py\nL3: import csv\nL79: # Open CSV file for writing instance information\nL80: with open('running_ec2_instances_info.csv', mode='w', newline='') as csvfile:\nL81: # Add 'Region' to the fieldnames for the CSV header\nL83: writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\nL112: # Write instance information to CSV, including the region\nL144: print(\"\\nCSV file 'running_ec2_instances_info.csv' generated successfully.\")\n---\nFile: not-running-latest.sh\nL3: cat running_ec2_instances_info.csv | grep -v $1 | grep -v ubuntu | awk -F, '{print $1 \" \" $4}' | sort | uniq -c\n---\nFile: aws-metrics.py\nL2: import csv\nL98: # Prepare CSV file\nL99: with open('aws_account_metrics.csv', mode='w', newline='') as file:\nL100: writer = csv.writer(file)\nL149: # Write to CSV\nL167: print(\"\\nCSV file 'aws_account_metrics.csv' generated successfully.\")\n---\nFile: generate-billing-sheets.py\nL2: import pandas as pd\n---\nFile: aws-asg-lt-ami.py\nL3: import csv\nL159: # Open CSV file for writing ASG information\nL160: csv_filepath = 'autoscaling_group_ami_template_info.csv'\nL161: with open(csv_filepath, mode='w', newline='') as csvfile:\nL173: writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\nL201: # Write results to CSV and print to console\nL234: print(f\"\\nCSV file '{csv_filepath}' generated successfully.\")\n---\nFile: aws-ips.py\nL2: import csv\nL71: # Open CSV file for writing\nL72: with open('aws_external_ips_by_region.csv', mode='w', newline='') as csvfile:\nL84: writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\nL170: print(\"\\nCSV file 'aws_external_ips_by_region.csv' generated successfully.\")\n---"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:29:36.699Z",
|
||||||
|
"resultDisplay": "Found 34 matches",
|
||||||
|
"displayName": "SearchText",
|
||||||
|
"description": "FAST, optimized search powered by `ripgrep`. PREFERRED over standard `run_shell_command(\"grep ...\")` due to better performance and automatic output limiting (max 20k matches).",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "4cd4cf4c-46c1-41ff-8719-b9056b60afc9",
|
||||||
|
"timestamp": "2026-01-28T16:29:52.416Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll read `generate-billing-sheets.py` to see how it uses `pandas` to process billing data.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Analyzing the Codebase",
|
||||||
|
"description": "I'm currently delving into the `generate-billing-sheets.py` script. My focus is on understanding how `pandas` is utilized within its structure. I'll inspect its internal logic to fully comprehend its operation.",
|
||||||
|
"timestamp": "2026-01-28T16:29:52.100Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 18342,
|
||||||
|
"output": 43,
|
||||||
|
"cached": 16370,
|
||||||
|
"thoughts": 20,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 18405
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file-1769617792415-7aa5ee3c66b7f",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "generate-billing-sheets.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file-1769617792415-7aa5ee3c66b7f",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "import boto3\nimport pandas as pd\nimport gspread\nimport time\nimport os\nfrom datetime import datetime, timedelta\nfrom google_auth_oauthlib.flow import InstalledAppFlow\nfrom google.auth.transport.requests import Request\nfrom google.oauth2.credentials import Credentials\n\n# --- CONFIGURATION ---\nCLIENT_SECRET_FILE = 'client_secret.json'\nSCOPES = [\n 'https://www.googleapis.com/auth/spreadsheets',\n 'https://www.googleapis.com/auth/drive'\n]\n\ndef get_google_auth():\n creds = None\n if os.path.exists('authorized_user.json'):\n creds = Credentials.from_authorized_user_file('authorized_user.json', SCOPES)\n \n if not creds or not creds.valid:\n if creds and creds.expired and creds.refresh_token:\n creds.refresh(Request())\n else:\n flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRET_FILE, SCOPES)\n creds = flow.run_local_server(port=0)\n with open('authorized_user.json', 'w') as token:\n token.write(creds.to_json())\n \n return gspread.authorize(creds)\n\ndef format_worksheet(ws):\n \"\"\"Bolds headers and freezes top row with error handling for quota.\"\"\"\n try:\n ws.format(\"A1:Z1\", {\"textFormat\": {\"bold\": True}})\n ws.freeze(rows=1)\n # Apply currency format to cost columns\n ws.format(\"B2:D100\", {\"numberFormat\": {\"type\": \"CURRENCY\", \"pattern\": \"$#,##0.00\"}})\n except Exception as e:\n print(f\" ! Formatting skip (quota): {e}\")\n\ndef fetch_aws_billing():\n ce = boto3.client('ce')\n org = boto3.client('organizations')\n \n today = datetime.today()\n first_curr = today.replace(day=1)\n m1_dt = (first_curr - timedelta(days=1)).replace(day=1)\n m2_dt = (m1_dt - timedelta(days=1)).replace(day=1)\n \n meta = {\n \"file_name\": f\"AWS_Billing_{m1_dt.strftime('%b_%Y')}\",\n \"m1_start\": m1_dt.strftime('%Y-%m-%d'),\n \"m2_start\": m2_dt.strftime('%Y-%m-%d'),\n \"end_date\": first_curr.strftime('%Y-%m-%d'),\n \"m1_name\": m1_dt.strftime('%b %Y'),\n \"m2_name\": m2_dt.strftime('%b %Y')\n }\n \n print(\"Step 1: Mapping account names...\")\n account_map = {a['Id']: a['Name'] for p in org.get_paginator('list_accounts').paginate() for a in p['Accounts']}\n \n print(\"Step 2: Fetching summary data...\")\n resp_overall = ce.get_cost_and_usage(\n TimePeriod={'Start': meta['m2_start'], 'End': meta['end_date']},\n Granularity='MONTHLY',\n Metrics=['UnblendedCost'],\n GroupBy=[{'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'}]\n )\n\n pivot = {}\n for period in resp_overall['ResultsByTime']:\n d = period['TimePeriod']['Start']\n for g in period['Groups']:\n aid = g['Keys'][0]\n cost = float(g['Metrics']['UnblendedCost']['Amount'])\n if aid not in pivot: pivot[aid] = {meta['m2_start']: 0.0, meta['m1_start']: 0.0}\n pivot[aid][d] = cost\n\n summary_rows = []\n for aid, costs in pivot.items():\n c2, c1 = costs[meta['m2_start']], costs[meta['m1_start']]\n diff = c1 - c2\n perc = (diff/c2)*100 if c2 > 0 else (100.0 if c1 > 0 else 0.0)\n summary_rows.append([account_map.get(aid, aid), aid, c2, c1, diff, f\"{perc:.1f}%\"])\n \n df_summary = pd.DataFrame(summary_rows, columns=['Account Name', 'ID', meta['m2_name'], meta['m1_name'], 'Change $', 'Change %'])\n\n print(\"Step 3: Fetching service details (AWS API)...\")\n detail_dfs = {}\n for aid in pivot.keys():\n name = account_map.get(aid, aid)\n time.sleep(0.3) # AWS rate limit safety\n \n resp_svc = ce.get_cost_and_usage(\n TimePeriod={'Start': meta['m2_start'], 'End': meta['end_date']},\n Granularity='MONTHLY', Metrics=['UnblendedCost'],\n Filter={'Dimensions': {'Key': 'LINKED_ACCOUNT', 'Values': [aid]}},\n GroupBy=[{'Type': 'DIMENSION', 'Key': 'SERVICE'}]\n )\n \n svc_pivot = {}\n for period in resp_svc['ResultsByTime']:\n d = period['TimePeriod']['Start']\n for g in period['Groups']:\n svc = g['Keys'][0]\n cost = float(g['Metrics']['UnblendedCost']['Amount'])\n if svc not in svc_pivot: svc_pivot[svc] = {meta['m2_start']: 0.0, meta['m1_start']: 0.0}\n svc_pivot[svc][d] = cost\n \n svc_rows = []\n for s, costs in svc_pivot.items():\n c2, c1 = costs[meta['m2_start']], costs[meta['m1_start']]\n if c1 == 0 and c2 == 0: continue\n diff = c1 - c2\n perc = (diff/c2)*100 if c2 > 0 else (100.0 if c1 > 0 else 0.0)\n svc_rows.append([s, c2, c1, diff, f\"{perc:.1f}%\"])\n \n tab_name = name[:30].replace(\":\", \"-\")\n detail_dfs[tab_name] = pd.DataFrame(svc_rows, columns=['ServiceLine truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:29:52.425Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "fd95bd44-339b-4f31-9300-dfdc8f19485a",
|
||||||
|
"timestamp": "2026-01-28T16:30:04.677Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll read more lines from `ecsv_12_2025.csv` to better understand the different `RecordType` values and how `LinkedAccountId` is used.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Formulating the Script",
|
||||||
|
"description": "I'm starting the script. The plan is to load the CSV, group the data by account ID and name, then calculate the sums for total cost, cost before tax, and tax amount. I'll make sure it's efficient for large datasets.",
|
||||||
|
"timestamp": "2026-01-28T16:29:58.129Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Designing the Code",
|
||||||
|
"description": "I'm ready to code now. The plan is in place; I'll start with a Python script, `summarize-ecsv.py`. I'll load the CSV, aggregate by account ID and name, and calculate the sums of costs. Then, I'll review the `read_file` output to confirm the column names. I see that the `LinkedAccountId` field can be empty, which I will need to consider.",
|
||||||
|
"timestamp": "2026-01-28T16:30:04.350Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Refining the Approach",
|
||||||
|
"description": "I'm focused on the details. I've got the script skeleton sketched out, but now I'm thinking about edge cases. Reviewing the `read_file` output made me realize that `LinkedAccountId` can be empty and `RecordType` seems important. I'm leaning toward filtering by the existence of `LinkedAccountId` or handling the empty ones separately, as they could signify payer-level costs. Also, I need to check how the quotes are handled.",
|
||||||
|
"timestamp": "2026-01-28T16:30:04.377Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 20363,
|
||||||
|
"output": 66,
|
||||||
|
"cached": 16669,
|
||||||
|
"thoughts": 364,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 20793
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file-1769617804672-64bc7ef7b8e02",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"limit": 50,
|
||||||
|
"offset": 5,
|
||||||
|
"file_path": "ecsv_12_2025.csv"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file-1769617804672-64bc7ef7b8e02",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "\nIMPORTANT: The file content has been truncated.\nStatus: Showing lines 6-55 of 6106 total lines.\nAction: To read more of the file, you can use the 'offset' and 'limit' parameters in a subsequent 'read_file' call. For example, to read the next section of the file, use offset: 55.\n\n--- FILE CONTENT (truncated) ---\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-545\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AmazonCloudFront\",\"Amazon CloudFront\",\"Amazon Web Services EMEA SARL\",\"EU-Requests-Tier2-HTTPS\",\"\",\"165477461216\",\"$0.000 per request - HTTP or HTTPS under the global monthly free tier\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"9832118.00000000\",\"\",\"USD\",\"0.00\",\"0.0\",\"0.000000\",\"None\",\"0.000000\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-544\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AWSGlobalAccelerator\",\"AWS Global Accelerator\",\"Amazon Web Services EMEA SARL\",\"EU-KR-OUT-Bytes-AWS\",\"Dominant\",\"62383958597\",\"$0.035 per GB - DT-Premium-from-Europe-regions-out-to-South-Korea-AWS-clients\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00305089\",\"\",\"USD\",\"0.00\",\"0.0\",\"0.000000\",\"None\",\"0.000000\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-543\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EU-USE1-AWS-In-Bytes\",\"\",\"288403834050\",\"$0.00 per GB - EU (Ireland) data transfer from US East (Northern Virginia)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"19.60628141\",\"\",\"USD\",\"0.00\",\"0.0\",\"0.000000\",\"None\",\"0.000000\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-542\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AmazonCloudFront\",\"Amazon CloudFront\",\"Amazon Web Services EMEA SARL\",\"USW1-Lambda-Edge-Request\",\"\",\"165477461057\",\"$6.0E-7 per Request for Lambda-Edge-Request in US West (N. California)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"6640.00000000\",\"\",\"USD\",\"0.00\",\"0.0\",\"0.000000\",\"None\",\"0.000000\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-541\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AWSLambda\",\"AWS Lambda\",\"Amazon Web Services EMEA SARL\",\"EUW2-Request\",\"\",\"301408932119\",\"AWS Lambda - Total Requests - EU (London)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2862598.00000000\",\"\",\"USD\",\"0.58\",\"0.0\",\"0.117098\",\"VAT\",\"0.697098\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-540\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AmazonCloudWatch\",\"AmazonCloudWatch\",\"Amazon Web Services EMEA SARL\",\"USW1-TimedStorage-ByteHrs\",\"\",\"313536233455\",\"First 5GB-mo per month of logs storage is free.\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.01767175\",\"\",\"USD\",\"0.00\",\"0.0\",\"0.000000\",\"None\",\"0.000000\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-539\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AmazonCloudFront\",\"Amazon CloudFront\",\"Amazon Web Services EMEA SARL\",\"EU-Requests-HTTPS-Proxy\",\"\",\"165477461205\",\"$0.000 per request - HTTP or HTTPS under the global monthly free tier\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"144926.00000000\",\"\",\"USD\",\"0.00\",\"0.0\",\"0.000000\",\"None\",\"0.000000\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-538\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AmazonRDS\",\"Amazon Relational Database Service\",\"Amazon Web Services EMEA SARL\",\"EUW2-RDS:GP3-Storage\",\"CreateDBInstance:0014\",\"330631446433\",\"$0.133 per GB-month of provisioned GP3 storage running PostgreSQL\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"119.99999808\",\"\",\"USD\",\"15.96\",\"0.0\",\"3.192257\",\"VAT\",\"19.152257\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-537\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AmazonCloudWatch\",\"AmazonCloudWatch\",\"Amazon Web Services EMEA SARL\",\"EU-TimedStorage-ByteHrs\",\"\",\"313536232128\",\"$0.03 per GB-mo of log storage - EU (Ireland)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"1.54580631\",\"\",\"USD\",\"0.05\",\"0.0\",\"0.010051\",\"VAT\",\"0.060051\"\n\"EUINGB26-6655\",\"396871851846\",\"\",\"PayerLineItem\",\"-536\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"\",\"\",\"\",\"AmazonES\",\"Amazon OpenSearch Service\",\"Amazon Web Services EMEA SARL\",\"EUW2-ESInsLine truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:30:04.694Z",
|
||||||
|
"resultDisplay": "Read lines 6-55 of 6106 from ecsv_12_2025.csv",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "c3c3faea-7bb0-49be-a4db-329e457cacd8",
|
||||||
|
"timestamp": "2026-01-28T16:30:33.391Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll search for lines in `ecsv_12_2025.csv` that have a non-empty `LinkedAccountId` to confirm how linked account data is represented.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Considering Data Anomalies",
|
||||||
|
"description": "I'm noticing that the `LinkedAccountId` field is often blank, which suggests a relationship to the payer account or the presence of summary data. The `RecordType` field often uses values like `LineItem` or `PayerLineItem`. I am currently reviewing the file, and it primarily features `PayerLineItem` records.",
|
||||||
|
"timestamp": "2026-01-28T16:30:24.838Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Refining the Approach",
|
||||||
|
"description": "I'm now prioritizing the records with populated `LinkedAccountId` values. It appears that focusing on these will be key to creating the payer summaries. This approach should help in linking individual transactions. I am also investigating the impact of the `RecordType` field when summarizing the data.",
|
||||||
|
"timestamp": "2026-01-28T16:30:33.385Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 32860,
|
||||||
|
"output": 87,
|
||||||
|
"cached": 21299,
|
||||||
|
"thoughts": 112,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 33059
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "run_shell_command-1769617833385-bed0804ec3ce3",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"command": "grep -E '^\"[^\"]*\",\"[^\"]*\",\"[0-9]+\"' ecsv_12_2025.csv | head -n 5"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "run_shell_command-1769617833385-bed0804ec3ce3",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"response": {
|
||||||
|
"output": "Command: grep -E '^\"[^\"]*\",\"[^\"]*\",\"[0-9]+\"' ecsv_12_2025.csv | head -n 5\nDirectory: (root)\nOutput: \"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814058\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EU-DEN1-AWS-In-Bytes\",\"\",\"288403830781\",\"$0.00 per GB - EU (Ireland) data transfer from US West (Denver)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00000238\",\"\",\"USD\",\"0E-10\",\"0.0\",\"0.000000\",\"None\",\"0E-10\"\n\"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814059\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EUW2-EUC1-AWS-Out-Bytes\",\"\",\"288403833109\",\"$0.02 per GB - EU (London) data transfer to EU (Germany)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00033480\",\"\",\"USD\",\"0.0000070000\",\"0.0\",\"0.000001\",\"VAT\",\"0.0000080000\"\n\"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814060\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EU-QRO1-AWS-Out-Bytes\",\"\",\"288403851043\",\"$0.02 per GB - EU (Ireland) data transfer to Mexico (Queretaro)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"3.2E-7\",\"\",\"USD\",\"0E-10\",\"0.0\",\"0.000000\",\"None\",\"0E-10\"\n\"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814061\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EUW2-DataTransfer-Regional-Bytes\",\"\",\"288403839067\",\"$0.010 per GB - regional data transfer - in/out/between EC2 AZs or using elastic IPs or ELB\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00000665\",\"\",\"USD\",\"0E-10\",\"0.0\",\"0.000000\",\"None\",\"0E-10\"\n\"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814062\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EUW2-APN1-AWS-Out-Bytes\",\"\",\"288403833509\",\"$0.02 per GB - EU (London) data transfer to Asia Pacific (Tokyo)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00033480\",\"\",\"USD\",\"0.0000070000\",\"0.0\",\"0.000001\",\"VAT\",\"0.0000080000\"\nError: (none)\nExit Code: 0\nSignal: 0\nBackground PIDs: (none)\nProcess Group PGID: 87151"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:30:40.809Z",
|
||||||
|
"resultDisplay": "\"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814058\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EU-DEN1-AWS-In-Bytes\",\"\",\"288403830781\",\"$0.00 per GB - EU (Ireland) data transfer from US West (Denver)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00000238\",\"\",\"USD\",\"0E-10\",\"0.0\",\"0.000000\",\"None\",\"0E-10\"\n\"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814059\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EUW2-EUC1-AWS-Out-Bytes\",\"\",\"288403833109\",\"$0.02 per GB - EU (London) data transfer to EU (Germany)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00033480\",\"\",\"USD\",\"0.0000070000\",\"0.0\",\"0.000001\",\"VAT\",\"0.0000080000\"\n\"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814060\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EU-QRO1-AWS-Out-Bytes\",\"\",\"288403851043\",\"$0.02 per GB - EU (Ireland) data transfer to Mexico (Queretaro)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"3.2E-7\",\"\",\"USD\",\"0E-10\",\"0.0\",\"0.000000\",\"None\",\"0E-10\"\n\"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814061\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EUW2-DataTransfer-Regional-Bytes\",\"\",\"288403839067\",\"$0.010 per GB - regional data transfer - in/out/between EC2 AZs or using elastic IPs or ELB\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00000665\",\"\",\"USD\",\"0E-10\",\"0.0\",\"0.000000\",\"None\",\"0E-10\"\n\"EUINGB26-6655\",\"396871851846\",\"012755198934\",\"LinkedLineItem\",\"6800006281782814062\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"2026/01/01 15:31:32\",\"dxw\",\"CID - Prod\",\"\",\"\",\"AWSDataTransfer\",\"AWS Data Transfer\",\"Amazon Web Services EMEA SARL\",\"EUW2-APN1-AWS-Out-Bytes\",\"\",\"288403833509\",\"$0.02 per GB - EU (London) data transfer to Asia Pacific (Tokyo)\",\"2025/12/01 00:00:00\",\"2025/12/31 23:59:59\",\"0.00033480\",\"\",\"USD\",\"0.0000070000\",\"0.0\",\"0.000001\",\"VAT\",\"0.0000080000\"",
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. Command can start background processes using `&`. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n The following information is returned:\n\n Command: Executed command.\n Directory: Directory where command was executed, or `(root)`.\n Stdout: Output on stdout stream. Can be `(empty)` or partial on error and for any unwaited background processes.\n Stderr: Output on stderr stream. Can be `(empty)` or partial on error and for any unwaited background processes.\n Error: Error or `(none)` if no error was reported for the subprocess.\n Exit Code: Exit code or `(none)` if terminated by signal.\n Signal: Signal number or `(none)` if no signal was received.\n Background PIDs: List of background processes started or `(none)`.\n Process Group PGID: Process group started or `(none)`",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "41464574-1e1e-409c-b70d-58642f6cba19",
|
||||||
|
"timestamp": "2026-01-28T16:31:00.435Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll write the `summarize-ecsv.py` script, which uses `pandas` to group and sum the billing data from the CSV file by `LinkedAccountId`.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Defining the Script Logic",
|
||||||
|
"description": "I'm currently working on a Python script to process billing data from a CSV file. My focus right now is on pulling out the `LinkedAccountId` from `LinkedLineItem` records. The script is being structured to use pandas for efficient data handling. I've begun to define the core function and initial file loading steps, with print statements for progress tracking.",
|
||||||
|
"timestamp": "2026-01-28T16:30:51.547Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Constructing the Core Function",
|
||||||
|
"description": "I've outlined the Python script's central billing summarization function. I'm focusing on handling potential errors during file loading and ensuring accurate data conversion for calculations. Using `pandas`, I filter `LinkedLineItem` records and group by `LinkedAccountId`, addressing potential `NaN` values.",
|
||||||
|
"timestamp": "2026-01-28T16:30:53.741Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Finalizing the Implementation",
|
||||||
|
"description": "I'm now satisfied with the `summarize_billing` function. I've incorporated error handling for file loading. I'm also ensuring the summary includes both tax and before-tax costs, and I've added a final total. I'll save this as `summarize-ecsv.py`.",
|
||||||
|
"timestamp": "2026-01-28T16:30:54.845Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 34438,
|
||||||
|
"output": 1192,
|
||||||
|
"cached": 32031,
|
||||||
|
"thoughts": 789,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 36419
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
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|
||||||
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"content": "import pandas as pd\nimport sys\n\ndef summarize_billing(file_path):\n print(f\"Reading {file_path}...\")\n try:\n # Load the CSV\n df = pd.read_csv(file_path, low_memory=False)\n except FileNotFoundError:\n print(f\"Error: File {file_path} not found.\")\n return\n except Exception as e:\n print(f\"Error reading CSV: {e}\")\n return\n\n # Filter to only LinkedLineItem to avoid summary rows if they exist\n # Based on the sample, 'LinkedLineItem' seems to be the detailed records for linked accounts.\n # 'PayerLineItem' records with empty LinkedAccountId seem to be the same data but from the payer's perspective.\n # If we sum both, we might double count.\n \n # Let's check unique RecordTypes first to be sure\n record_types = df['RecordType'].unique()\n \n if 'LinkedLineItem' in record_types:\n df_linked = df[df['RecordType'] == 'LinkedLineItem'].copy()\n else:\n # Fallback to all records if LinkedLineItem doesn't exist\n df_linked = df.copy()\n\n # Fill NaN for LinkedAccountId/Name\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_linked.columns:\n df_linked[col] = pd.to_numeric(df_linked[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_linked.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_linked.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_linked.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_linked.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n\n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n summary = summary.sort_values(by='TotalCost', ascending=False)\n\n print(\"\\nBilling Summary by Linked Account:\")\n print(\"=\" * 85)\n header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n print(header)\n print(\"-\" * 85)\n\n for _, row in summary.iterrows():\n name = str(row['LinkedAccountName'])[:35]\n aid = str(row['LinkedAccountId'])\n total = row.get('TotalCost', 0)\n tax = row.get('TaxAmount', 0)\n print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n\n if 'TotalCost' in summary.columns:\n total_sum = summary['TotalCost'].sum()\n print(\"-\" * 85)\n print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n print(\"=\" * 85)\n\n # Add a breakdown by service for the top account if requested or just show it anyway?\n # Let's show top 5 accounts service breakdown.\n print(\"\\nTop 5 Accounts - Service Breakdown:\")\n for _, row in summary.head(5).iterrows():\n aid = row['LinkedAccountId']\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n if len(svc_summary) > 10:\n print(f\" ... and {len(svc_summary)-10} more services\")\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n file_path = sys.argv[1]\n else:\n file_path = 'ecsv_12_2025.csv'\n \n summarize_billing(file_path)\n"
|
||||||
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|
"result": [
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/summarize-ecsv.py."
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|
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||||||
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||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:31:15.458Z",
|
||||||
|
"resultDisplay": {
|
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"fileDiff": "Index: summarize-ecsv.py\n===================================================================\n--- summarize-ecsv.py\tOriginal\n+++ summarize-ecsv.py\tWritten\n@@ -0,0 +1,92 @@\n+import pandas as pd\n+import sys\n+\n+def summarize_billing(file_path):\n+ print(f\"Reading {file_path}...\")\n+ try:\n+ # Load the CSV\n+ df = pd.read_csv(file_path, low_memory=False)\n+ except FileNotFoundError:\n+ print(f\"Error: File {file_path} not found.\")\n+ return\n+ except Exception as e:\n+ print(f\"Error reading CSV: {e}\")\n+ return\n+\n+ # Filter to only LinkedLineItem to avoid summary rows if they exist\n+ # Based on the sample, 'LinkedLineItem' seems to be the detailed records for linked accounts.\n+ # 'PayerLineItem' records with empty LinkedAccountId seem to be the same data but from the payer's perspective.\n+ # If we sum both, we might double count.\n+ \n+ # Let's check unique RecordTypes first to be sure\n+ record_types = df['RecordType'].unique()\n+ \n+ if 'LinkedLineItem' in record_types:\n+ df_linked = df[df['RecordType'] == 'LinkedLineItem'].copy()\n+ else:\n+ # Fallback to all records if LinkedLineItem doesn't exist\n+ df_linked = df.copy()\n+\n+ # Fill NaN for LinkedAccountId/Name\n+ df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n+ df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n+\n+ # Convert numeric columns to numeric\n+ for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n+ if col in df_linked.columns:\n+ df_linked[col] = pd.to_numeric(df_linked[col], errors='coerce').fillna(0.0)\n+\n+ # Summarize by LinkedAccount\n+ agg_dict = {}\n+ if 'TotalCost' in df_linked.columns: agg_dict['TotalCost'] = 'sum'\n+ if 'CostBeforeTax' in df_linked.columns: agg_dict['CostBeforeTax'] = 'sum'\n+ if 'TaxAmount' in df_linked.columns: agg_dict['TaxAmount'] = 'sum'\n+\n+ summary = df_linked.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n+\n+ # Sort by TotalCost descending\n+ if 'TotalCost' in summary.columns:\n+ summary = summary.sort_values(by='TotalCost', ascending=False)\n+\n+ print(\"\\nBilling Summary by Linked Account:\")\n+ print(\"=\" * 85)\n+ header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n+ print(header)\n+ print(\"-\" * 85)\n+\n+ for _, row in summary.iterrows():\n+ name = str(row['LinkedAccountName'])[:35]\n+ aid = str(row['LinkedAccountId'])\n+ total = row.get('TotalCost', 0)\n+ tax = row.get('TaxAmount', 0)\n+ print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n+\n+ if 'TotalCost' in summary.columns:\n+ total_sum = summary['TotalCost'].sum()\n+ print(\"-\" * 85)\n+ print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n+ print(\"=\" * 85)\n+\n+ # Add a breakdown by service for the top account if requested or just show it anyway?\n+ # Let's show top 5 accounts service breakdown.\n+ print(\"\\nTop 5 Accounts - Service Breakdown:\")\n+ for _, row in summary.head(5).iterrows():\n+ aid = row['LinkedAccountId']\n+ name = row['LinkedAccountName']\n+ print(f\"\\nBreakdown for {name} ({aid}):\")\n+ \n+ account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n+ svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n+ \n+ for svc, srow in svc_summary.head(10).iterrows():\n+ print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n+ if len(svc_summary) > 10:\n+ print(f\" ... and {len(svc_summary)-10} more services\")\n+\n+if __name__ == \"__main__\":\n+ if len(sys.argv) > 1:\n+ file_path = sys.argv[1]\n+ else:\n+ file_path = 'ecsv_12_2025.csv'\n+ \n+ summarize_billing(file_path)\n",
|
||||||
|
"fileName": "summarize-ecsv.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/summarize-ecsv.py",
|
||||||
|
"originalContent": "",
|
||||||
|
"newContent": "import pandas as pd\nimport sys\n\ndef summarize_billing(file_path):\n print(f\"Reading {file_path}...\")\n try:\n # Load the CSV\n df = pd.read_csv(file_path, low_memory=False)\n except FileNotFoundError:\n print(f\"Error: File {file_path} not found.\")\n return\n except Exception as e:\n print(f\"Error reading CSV: {e}\")\n return\n\n # Filter to only LinkedLineItem to avoid summary rows if they exist\n # Based on the sample, 'LinkedLineItem' seems to be the detailed records for linked accounts.\n # 'PayerLineItem' records with empty LinkedAccountId seem to be the same data but from the payer's perspective.\n # If we sum both, we might double count.\n \n # Let's check unique RecordTypes first to be sure\n record_types = df['RecordType'].unique()\n \n if 'LinkedLineItem' in record_types:\n df_linked = df[df['RecordType'] == 'LinkedLineItem'].copy()\n else:\n # Fallback to all records if LinkedLineItem doesn't exist\n df_linked = df.copy()\n\n # Fill NaN for LinkedAccountId/Name\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_linked.columns:\n df_linked[col] = pd.to_numeric(df_linked[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_linked.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_linked.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_linked.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_linked.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n\n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n summary = summary.sort_values(by='TotalCost', ascending=False)\n\n print(\"\\nBilling Summary by Linked Account:\")\n print(\"=\" * 85)\n header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n print(header)\n print(\"-\" * 85)\n\n for _, row in summary.iterrows():\n name = str(row['LinkedAccountName'])[:35]\n aid = str(row['LinkedAccountId'])\n total = row.get('TotalCost', 0)\n tax = row.get('TaxAmount', 0)\n print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n\n if 'TotalCost' in summary.columns:\n total_sum = summary['TotalCost'].sum()\n print(\"-\" * 85)\n print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n print(\"=\" * 85)\n\n # Add a breakdown by service for the top account if requested or just show it anyway?\n # Let's show top 5 accounts service breakdown.\n print(\"\\nTop 5 Accounts - Service Breakdown:\")\n for _, row in summary.head(5).iterrows():\n aid = row['LinkedAccountId']\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n if len(svc_summary) > 10:\n print(f\" ... and {len(svc_summary)-10} more services\")\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n file_path = sys.argv[1]\n else:\n file_path = 'ecsv_12_2025.csv'\n \n summarize_billing(file_path)\n",
|
||||||
|
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"description": "Writes content to a specified file in the local filesystem.\n\n The user has the ability to modify `content`. If modified, this will be stated in the response.",
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{
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||||||
|
"id": "1a6f6089-5602-452f-8b06-e2386fd507ce",
|
||||||
|
"timestamp": "2026-01-28T16:31:34.346Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll run the `summarize-ecsv.py` script to verify it correctly summarizes the billing data from `ecsv_12_2025.csv`.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Initiating Testing Procedures",
|
||||||
|
"description": "I'm starting the execution of the script using the provided CSV data. The goal is to observe its behavior and pinpoint any unexpected results or errors. So far, the process is going well.",
|
||||||
|
"timestamp": "2026-01-28T16:31:34.043Z"
|
||||||
|
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|
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|
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|
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|
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|
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|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
||||||
|
{
|
||||||
|
"id": "run_shell_command-1769617894337-2341d5b7dbc91",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"command": "python3 summarize-ecsv.py ecsv_12_2025.csv"
|
||||||
|
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|
||||||
|
"result": [
|
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"response": {
|
||||||
|
"output": "Command: python3 summarize-ecsv.py ecsv_12_2025.csv\nDirectory: (root)\nOutput: Reading ecsv_12_2025.csv...\n\nBilling Summary by Linked Account:\n=====================================================================================\nAccount Name | Account ID | Total Cost | Tax\n-------------------------------------------------------------------------------------\ndxw-govpress | 666653442229.0 | $ 5,293.91 | $ 882.35\ndxw | 396871851846.0 | $ 4,723.91 | $ 787.27\ndxw hosting - NHS England | 661178850043.0 | $ 3,401.83 | $ 566.95\ndxw hosting - GDS | 841480728064.0 | $ 2,954.81 | $ 492.45\ndxw-judiciary-dalmatian | 571543455290.0 | $ 2,147.26 | $ 357.94\ndxw-dalmatian-1 | 52666621102.0 | $ 1,345.96 | $ 224.33\ndxw-nao-dalmatian | 984225123583.0 | $ 1,272.44 | $ 212.12\ndxw hosting - MTVH | 876401144910.0 | $ 1,204.36 | $ 200.71\ndxw-dhsc | 504027283968.0 | $ 980.42 | $ 163.42\ndxw - Dalmatian | 511700466171.0 | $ 715.19 | $ 119.20\ndxw-mtvhgp | 966086556319.0 | $ 681.96 | $ 113.67\ndxw-rwm | 302222309765.0 | $ 563.11 | $ 93.86\ndxw-fcdo | 799898416595.0 | $ 560.92 | $ 93.48\ndxw-stgeorges | 149524467025.0 | $ 521.21 | $ 86.84\nCID - Prod | 12755198934.0 | $ 507.58 | $ 84.56\ndxw-esht | 975049938928.0 | $ 484.48 | $ 80.73\nCID - Staging | 590183849451.0 | $ 481.72 | $ 80.32\ndxw-ons | 225709814079.0 | $ 402.84 | $ 67.14\ndxw-natcen | 429334471753.0 | $ 338.72 | $ 56.48\ndxw-bas | 419128131613.0 | $ 338.41 | $ 56.44\ndxw-essex | 891376962999.0 | $ 265.22 | $ 44.20\ndxw-dalmatian-v1-pentest | 932446864135.0 | $ 182.93 | $ 30.48\nHelpful Transfer | 936938484656.0 | $ 170.60 | $ 28.43\ndxw-dfe-skills | 219661291364.0 | $ 56.78 | $ 9.45\ndxw - ash | 664883557209.0 | $ 53.61 | $ 8.92\ndxw - chris | 543586043228.0 | $ 21.59 | $ 3.60\ndxw-dfe-dalmatian | 129730198921.0 | $ 15.33 | $ 2.54\nstats-user-net | 572921893846.0 | $ 10.73 | $ 1.80\ndxw-dfe-fh | 42329559691.0 | $ 6.30 | $ 1.04\ndxw - lee | 580548153124.0 | $ 5.57 | $ 0.92\ndxw-beis-roda | 127426043703.0 | $ 0.77 | $ 0.13\ndxw-gld | 470396499948.0 | $ 0.44 | $ 0.06\ndxw-bob | 893439696758.0 | $ 0.13 | $ 0.02\nLambeth Docs | 220575105249.0 | $ 0.00 | $ 0.00\n-------------------------------------------------------------------------------------\nTOTAL | $ 29,711.06\n=====================================================================================\n\nTop 5 Accounts - Service Breakdown:\n\nBreakdown for dxw-govpress (666653442229.0):\n - Amazon Relational Database Service : $ 1,502.19\n - Amazon CloudFront : $ 966.56\n - Amazon Elastic Compute Cloud : $ 455.45\n - AWS Data Transfer : $ 370.28\n - Amazon EC2 Container Registry (ECR) : $ 320.70\n - Amazon Elastic File System : $ 312.91\n - AmazonCloudWatch : $ 252.97\n - AWS Key Management Service : $ 212.17\n - AWS WAF : $ 164.53\n - Amazon ElastiCache : $ 135.71\n ... and 18 more services\n\nBreakdown for dxw (396871851846.0):\n - Savings Plans for AWS Compute usage : $ 3,571.19\n - AWS Support (Business) : $ 429.44\n - Amazon Elastic File System : $ 250.72\n - Amazon Elastic Compute Cloud : $ 133.24\n - Amazon Relational Database Service : $ 107.73\n - Amazon Simple Storage Service : $ 72.86\n - Amazon Route 53 : $ 36.11\n - Amazon Virtual Private Cloud : $ 31.25\n - Amazon CloudFront : $ 24.49\n - AWS Cost Explorer Line truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:35:05.146Z",
|
||||||
|
"resultDisplay": "Reading ecsv_12_2025.csv...\n\nBilling Summary by Linked Account:\n=====================================================================================\nAccount Name | Account ID | Total Cost | Tax\n-------------------------------------------------------------------------------------\ndxw-govpress | 666653442229.0 | $ 5,293.91 | $ 882.35\ndxw | 396871851846.0 | $ 4,723.91 | $ 787.27\ndxw hosting - NHS England | 661178850043.0 | $ 3,401.83 | $ 566.95\ndxw hosting - GDS | 841480728064.0 | $ 2,954.81 | $ 492.45\ndxw-judiciary-dalmatian | 571543455290.0 | $ 2,147.26 | $ 357.94\ndxw-dalmatian-1 | 52666621102.0 | $ 1,345.96 | $ 224.33\ndxw-nao-dalmatian | 984225123583.0 | $ 1,272.44 | $ 212.12\ndxw hosting - MTVH | 876401144910.0 | $ 1,204.36 | $ 200.71\ndxw-dhsc | 504027283968.0 | $ 980.42 | $ 163.42\ndxw - Dalmatian | 511700466171.0 | $ 715.19 | $ 119.20\ndxw-mtvhgp | 966086556319.0 | $ 681.96 | $ 113.67\ndxw-rwm | 302222309765.0 | $ 563.11 | $ 93.86\ndxw-fcdo | 799898416595.0 | $ 560.92 | $ 93.48\ndxw-stgeorges | 149524467025.0 | $ 521.21 | $ 86.84\nCID - Prod | 12755198934.0 | $ 507.58 | $ 84.56\ndxw-esht | 975049938928.0 | $ 484.48 | $ 80.73\nCID - Staging | 590183849451.0 | $ 481.72 | $ 80.32\ndxw-ons | 225709814079.0 | $ 402.84 | $ 67.14\ndxw-natcen | 429334471753.0 | $ 338.72 | $ 56.48\ndxw-bas | 419128131613.0 | $ 338.41 | $ 56.44\ndxw-essex | 891376962999.0 | $ 265.22 | $ 44.20\ndxw-dalmatian-v1-pentest | 932446864135.0 | $ 182.93 | $ 30.48\nHelpful Transfer | 936938484656.0 | $ 170.60 | $ 28.43\ndxw-dfe-skills | 219661291364.0 | $ 56.78 | $ 9.45\ndxw - ash | 664883557209.0 | $ 53.61 | $ 8.92\ndxw - chris | 543586043228.0 | $ 21.59 | $ 3.60\ndxw-dfe-dalmatian | 129730198921.0 | $ 15.33 | $ 2.54\nstats-user-net | 572921893846.0 | $ 10.73 | $ 1.80\ndxw-dfe-fh | 42329559691.0 | $ 6.30 | $ 1.04\ndxw - lee | 580548153124.0 | $ 5.57 | $ 0.92\ndxw-beis-roda | 127426043703.0 | $ 0.77 | $ 0.13\ndxw-gld | 470396499948.0 | $ 0.44 | $ 0.06\ndxw-bob | 893439696758.0 | $ 0.13 | $ 0.02\nLambeth Docs | 220575105249.0 | $ 0.00 | $ 0.00\n-------------------------------------------------------------------------------------\nTOTAL | $ 29,711.06\n=====================================================================================\n\nTop 5 Accounts - Service Breakdown:\n\nBreakdown for dxw-govpress (666653442229.0):\n - Amazon Relational Database Service : $ 1,502.19\n - Amazon CloudFront : $ 966.56\n - Amazon Elastic Compute Cloud : $ 455.45\n - AWS Data Transfer : $ 370.28\n - Amazon EC2 Container Registry (ECR) : $ 320.70\n - Amazon Elastic File System : $ 312.91\n - AmazonCloudWatch : $ 252.97\n - AWS Key Management Service : $ 212.17\n - AWS WAF : $ 164.53\n - Amazon ElastiCache : $ 135.71\n ... and 18 more services\n\nBreakdown for dxw (396871851846.0):\n - Savings Plans for AWS Compute usage : $ 3,571.19\n - AWS Support (Business) : $ 429.44\n - Amazon Elastic File System : $ 250.72\n - Amazon Elastic Compute Cloud : $ 133.24\n - Amazon Relational Database Service : $ 107.73\n - Amazon Simple Storage Service : $ 72.86\n - Amazon Route 53 : $ 36.11\n - Amazon Virtual Private Cloud : $ 31.25\n - Amazon CloudFront : $ 24.49\n - AWS Cost Explorer : $ 17.70\n ... and 13 more services\n\nBreakdown for dxwLine truncated
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. Command can start background processes using `&`. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n The following information is returned:\n\n Command: Executed command.\n Directory: Directory where command was executed, or `(root)`.\n Stdout: Output on stdout stream. Can be `(empty)` or partial on error and for any unwaited background processes.\n Stderr: Output on stderr stream. Can be `(empty)` or partial on error and for any unwaited background processes.\n Error: Error or `(none)` if no error was reported for the subprocess.\n Exit Code: Exit code or `(none)` if terminated by signal.\n Signal: Signal number or `(none)` if no signal was received.\n Background PIDs: List of background processes started or `(none)`.\n Process Group PGID: Process group started or `(none)`",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "897e7a66-9216-44f0-9cc6-37b47a81d690",
|
||||||
|
"timestamp": "2026-01-28T16:35:15.175Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll refine the `summarize-ecsv.py` script to format account IDs as strings without trailing decimals, ensuring a cleaner output.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Polishing the Results",
|
||||||
|
"description": "I've refined the script's output, focusing on enhancing readability. The primary change involves eliminating the decimal places from the account IDs, streamlining the presentation. The summaries generated are already clear, so just a cosmetic tweak this time.",
|
||||||
|
"timestamp": "2026-01-28T16:35:14.884Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 38314,
|
||||||
|
"output": 256,
|
||||||
|
"cached": 35364,
|
||||||
|
"thoughts": 51,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 38621
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "replace-1769618115170-721de3ee533b3",
|
||||||
|
"name": "replace",
|
||||||
|
"args": {
|
||||||
|
"old_string": " # Fill NaN for LinkedAccountId/Name\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')",
|
||||||
|
"new_string": " # Fill NaN for LinkedAccountId/Name\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n # Remove .0 if it's a float-represented integer string\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].apply(lambda x: x[:-2] if x.endswith('.0') else x)\n df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')",
|
||||||
|
"instruction": "Format LinkedAccountId as a string without .0 suffix if it's a numeric ID.",
|
||||||
|
"file_path": "/Users/bob/git/dxw/aws-stuff/summarize-ecsv.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "replace-1769618115170-721de3ee533b3",
|
||||||
|
"name": "replace",
|
||||||
|
"response": {
|
||||||
|
"error": "[Operation Cancelled] Reason: User cancelled the operation."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "cancelled",
|
||||||
|
"timestamp": "2026-01-28T16:35:47.424Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: summarize-ecsv.py\n===================================================================\n--- summarize-ecsv.py\tCurrent\n+++ summarize-ecsv.py\tProposed\n@@ -29,6 +29,8 @@\n \n # Fill NaN for LinkedAccountId/Name\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n+ # Remove .0 if it's a float-represented integer string\n+ df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].apply(lambda x: x[:-2] if x.endswith('.0') else x)\n df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n \n # Convert numeric columns to numeric\n",
|
||||||
|
"fileName": "summarize-ecsv.py",
|
||||||
|
"originalContent": "import pandas as pd\nimport sys\n\ndef summarize_billing(file_path):\n print(f\"Reading {file_path}...\")\n try:\n # Load the CSV\n df = pd.read_csv(file_path, low_memory=False)\n except FileNotFoundError:\n print(f\"Error: File {file_path} not found.\")\n return\n except Exception as e:\n print(f\"Error reading CSV: {e}\")\n return\n\n # Filter to only LinkedLineItem to avoid summary rows if they exist\n # Based on the sample, 'LinkedLineItem' seems to be the detailed records for linked accounts.\n # 'PayerLineItem' records with empty LinkedAccountId seem to be the same data but from the payer's perspective.\n # If we sum both, we might double count.\n \n # Let's check unique RecordTypes first to be sure\n record_types = df['RecordType'].unique()\n \n if 'LinkedLineItem' in record_types:\n df_linked = df[df['RecordType'] == 'LinkedLineItem'].copy()\n else:\n # Fallback to all records if LinkedLineItem doesn't exist\n df_linked = df.copy()\n\n # Fill NaN for LinkedAccountId/Name\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_linked.columns:\n df_linked[col] = pd.to_numeric(df_linked[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_linked.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_linked.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_linked.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_linked.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n\n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n summary = summary.sort_values(by='TotalCost', ascending=False)\n\n print(\"\\nBilling Summary by Linked Account:\")\n print(\"=\" * 85)\n header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n print(header)\n print(\"-\" * 85)\n\n for _, row in summary.iterrows():\n name = str(row['LinkedAccountName'])[:35]\n aid = str(row['LinkedAccountId'])\n total = row.get('TotalCost', 0)\n tax = row.get('TaxAmount', 0)\n print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n\n if 'TotalCost' in summary.columns:\n total_sum = summary['TotalCost'].sum()\n print(\"-\" * 85)\n print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n print(\"=\" * 85)\n\n # Add a breakdown by service for the top account if requested or just show it anyway?\n # Let's show top 5 accounts service breakdown.\n print(\"\\nTop 5 Accounts - Service Breakdown:\")\n for _, row in summary.head(5).iterrows():\n aid = row['LinkedAccountId']\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n if len(svc_summary) > 10:\n print(f\" ... and {len(svc_summary)-10} more services\")\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n file_path = sys.argv[1]\n else:\n file_path = 'ecsv_12_2025.csv'\n \n summarize_billing(file_path)\n",
|
||||||
|
"newContent": "import pandas as pd\nimport sys\n\ndef summarize_billing(file_path):\n print(f\"Reading {file_path}...\")\n try:\n # Load the CSV\n df = pd.read_csv(file_path, low_memory=False)\n except FileNotFoundError:\n print(f\"Error: File {file_path} not found.\")\n return\n except Exception as e:\n print(f\"Error reading CSV: {e}\")\n return\n\n # Filter to only LinkedLineItem to avoid summary rows if they exist\n # Based on the sample, 'LinkedLineItem' seems to be the detailed records for linked accounts.\n # 'PayerLineItem' records with empty LinkedAccountId seem to be the same data but from the payer's perspective.\n # If we sum both, we might double count.\n \n # Let's check unique RecordTypes first to be sure\n record_types = df['RecordType'].unique()\n \n if 'LinkedLineItem' in record_types:\n df_linked = df[df['RecordType'] == 'LinkedLineItem'].copy()\n else:\n # Fallback to all records if LinkedLineItem doesn't exist\n df_linked = df.copy()\n\n # Fill NaN for LinkedAccountId/Name\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n # Remove .0 if it's a float-represented integer string\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].apply(lambda x: x[:-2] if x.endswith('.0') else x)\n df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_linked.columns:\n df_linked[col] = pd.to_numeric(df_linked[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_linked.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_linked.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_linked.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_linked.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n\n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n summary = summary.sort_values(by='TotalCost', ascending=False)\n\n print(\"\\nBilling Summary by Linked Account:\")\n print(\"=\" * 85)\n header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n print(header)\n print(\"-\" * 85)\n\n for _, row in summary.iterrows():\n name = str(row['LinkedAccountName'])[:35]\n aid = str(row['LinkedAccountId'])\n total = row.get('TotalCost', 0)\n tax = row.get('TaxAmount', 0)\n print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n\n if 'TotalCost' in summary.columns:\n total_sum = summary['TotalCost'].sum()\n print(\"-\" * 85)\n print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n print(\"=\" * 85)\n\n # Add a breakdown by service for the top account if requested or just show it anyway?\n # Let's show top 5 accounts service breakdown.\n print(\"\\nTop 5 Accounts - Service Breakdown:\")\n for _, row in summary.head(5).iterrows():\n aid = row['LinkedAccountId']\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n if len(svc_summary) > 10:\n print(f\" ... and {len(svc_summary)-10} more services\")\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n file_path = sys.argv[1]\n else:\n file_path = 'ecsv_12_2025.csv'\n \n summarize_billing(file_path)\n",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/summarize-ecsv.py"
|
||||||
|
},
|
||||||
|
"displayName": "Edit",
|
||||||
|
"description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n \n The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n \n Expectation for required parameters:\n 1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n 2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n 3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n 4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n 5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "88088531-54ba-43fc-be7c-a9100ecf52aa",
|
||||||
|
"timestamp": "2026-01-28T16:35:47.426Z",
|
||||||
|
"type": "info",
|
||||||
|
"content": "Request cancelled."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "489fb294-ba9e-47a1-bc8c-5e1367dbeac0",
|
||||||
|
"timestamp": "2026-01-28T16:36:26.186Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": "If LinkedAccountId isnt set assume its for the payer account"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "80886d20-64db-4670-b310-02a9379cb7c5",
|
||||||
|
"timestamp": "2026-01-28T16:36:45.568Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll analyze the distribution of record types and missing `LinkedAccountId` values in `ecsv_12_2025.csv` to ensure the script correctly attributes costs without double-counting.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Investigating Empty Fields",
|
||||||
|
"description": "I'm currently working on modifying `summarize-ecsv.py` to gracefully handle empty `LinkedAccountId` values. My initial plan is to default these transactions to the payer account, ensuring no data is lost. I've begun reviewing the provided CSV data to better understand the distribution of these empty fields and their implications.",
|
||||||
|
"timestamp": "2026-01-28T16:36:36.732Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Revising Filtering Logic",
|
||||||
|
"description": "I've examined the existing script's filtering based on `RecordType`, and realized I need to modify it. Previously, it focused on 'LinkedLineItem'. To accommodate empty `LinkedAccountId` values (and by extension, the payer account itself), I plan to modify the script to include *all* records. This way, I capture all costs, whether linked or directly attributed to the payer. I'm focusing on ensuring accurate aggregation now.",
|
||||||
|
"timestamp": "2026-01-28T16:36:42.354Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Implementing Account Mapping",
|
||||||
|
"description": "I'm now focusing on the core logic: replacing empty `LinkedAccountId` values with the `PayerAccountId`. I'll also handle the corresponding `LinkedAccountName`. My immediate concern is accurately identifying and modifying these null values, ensuring all relevant cost data is correctly attributed to the payer. I'm considering using `fillna` for these operations within the pandas DataFrame.",
|
||||||
|
"timestamp": "2026-01-28T16:36:43.534Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Evaluating Potential Double Counting",
|
||||||
|
"description": "I'm now contemplating potential double-counting issues. Since the payer's account ID might appear in both `PayerLineItem` and `LinkedLineItem` records (with an empty `LinkedAccountId`), merging the two datasets directly may lead to inflated costs. My focus is shifting towards identifying and mitigating these overlaps to ensure accurate aggregation within the modified script. I'll need to carefully consider data deduplication.",
|
||||||
|
"timestamp": "2026-01-28T16:36:44.372Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Addressing Data Duplication",
|
||||||
|
"description": "I'm now prioritizing the mitigation of potential double-counting. After reviewing the CSV and the record types, I realized that I need to filter specifically *within* the `PayerLineItem` records. The payer ID may appear as a `LinkedAccountId`. To prevent inflated costs, I'll modify the script to selectively include payer costs *only* if `LinkedAccountId` is empty, avoiding duplication. I will verify this through data inspection after implementing the initial modifications.",
|
||||||
|
"timestamp": "2026-01-28T16:36:45.317Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 38605,
|
||||||
|
"output": 110,
|
||||||
|
"cached": 14748,
|
||||||
|
"thoughts": 1234,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 39949
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "run_shell_command-1769618205566-77b9f63944897",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"command": "python3 -c \"import pandas as pd; df=pd.read_csv('ecsv_12_2025.csv', low_memory=False); print(df.groupby(['RecordType', df['LinkedAccountId'].isna()]).size())\""
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "run_shell_command-1769618205566-77b9f63944897",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"response": {
|
||||||
|
"output": "Command: python3 -c \"import pandas as pd; df=pd.read_csv('ecsv_12_2025.csv', low_memory=False); print(df.groupby(['RecordType', df['LinkedAccountId'].isna()]).size())\"\nDirectory: (root)\nOutput: RecordType LinkedAccountId\nAccountTotal False 34\nCBRounding True 1\nInvoiceTotal True 1\nLinkedLineItem False 5266\nPayerLineItem True 801\nStatementTotal True 1\ndtype: int64\nError: (none)\nExit Code: 0\nSignal: 0\nBackground PIDs: (none)\nProcess Group PGID: 90581"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:39:57.589Z",
|
||||||
|
"resultDisplay": "RecordType LinkedAccountId\nAccountTotal False 34\nCBRounding True 1\nInvoiceTotal True 1\nLinkedLineItem False 5266\nPayerLineItem True 801\nStatementTotal True 1\ndtype: int64",
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. Command can start background processes using `&`. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n The following information is returned:\n\n Command: Executed command.\n Directory: Directory where command was executed, or `(root)`.\n Stdout: Output on stdout stream. Can be `(empty)` or partial on error and for any unwaited background processes.\n Stderr: Output on stderr stream. Can be `(empty)` or partial on error and for any unwaited background processes.\n Error: Error or `(none)` if no error was reported for the subprocess.\n Exit Code: Exit code or `(none)` if terminated by signal.\n Signal: Signal number or `(none)` if no signal was received.\n Background PIDs: List of background processes started or `(none)`.\n Process Group PGID: Process group started or `(none)`",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "9e8f9eda-9a98-4b3b-ac3d-8f139eb6b6e0",
|
||||||
|
"timestamp": "2026-01-28T16:40:06.480Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll update `summarize-ecsv.py` to include `PayerLineItem` records, attributing them to the payer account when `LinkedAccountId` is missing, and I'll also fix the account ID formatting.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Considering Data Anomalies",
|
||||||
|
"description": "I'm currently focused on the `LinkedLineItem` and `PayerLineItem` tables. It seems there's a strong correlation with the `LinkedAccountId` field. My working hypothesis is that the presence or absence of a value in this field is a key discriminator. I am excluding `AccountTotal` and `CBRounding` for now.",
|
||||||
|
"timestamp": "2026-01-28T16:40:01.433Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Evaluating Record Types",
|
||||||
|
"description": "I've determined I'll filter for `LinkedLineItem` and `PayerLineItem` records. Then, I'll impute the missing `LinkedAccountId` values with corresponding `PayerAccountId` values and update `LinkedAccountName`. I'll also address the numeric formatting issues. I've re-evaluated the `AccountTotal` records and decided they should remain excluded, as those already have `LinkedAccountId` populated and would introduce double-counting.",
|
||||||
|
"timestamp": "2026-01-28T16:40:03.680Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 38885,
|
||||||
|
"output": 951,
|
||||||
|
"cached": 35848,
|
||||||
|
"thoughts": 272,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 40108
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
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||||||
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|
||||||
|
"new_string": " # Filter to LinkedLineItem and PayerLineItem to get all costs without double counting summary rows\n valid_types = ['LinkedLineItem', 'PayerLineItem']\n df_filtered = df[df['RecordType'].isin(valid_types)].copy()\n\n # If LinkedAccountId is missing, assume it belongs to the payer account\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].fillna(df_filtered['PayerAccountId'])\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].fillna(df_filtered['PayerAccountName'])\n\n # Format LinkedAccountId as string and remove .0 suffix if present\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].astype(str).apply(lambda x: x[:-2] if x.endswith('.0') else x)\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_filtered.columns:\n df_filtered[col] = pd.to_numeric(df_filtered[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_filtered.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_filtered.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_filtered.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_filtered.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n",
|
||||||
|
"instruction": "Include PayerLineItem records and attribute them to the PayerAccountId if LinkedAccountId is missing. Also fix the .0 formatting for account IDs.",
|
||||||
|
"old_string": " # Filter to only LinkedLineItem to avoid summary rows if they exist\n # Based on the sample, 'LinkedLineItem' seems to be the detailed records for linked accounts.\n # 'PayerLineItem' records with empty LinkedAccountId seem to be the same data but from the payer's perspective.\n # If we sum both, we might double count.\n \n # Let's check unique RecordTypes first to be sure\n record_types = df['RecordType'].unique()\n \n if 'LinkedLineItem' in record_types:\n df_linked = df[df['RecordType'] == 'LinkedLineItem'].copy()\n else:\n # Fallback to all records if LinkedLineItem doesn't exist\n df_linked = df.copy()\n\n # Fill NaN for LinkedAccountId/Name\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_linked.columns:\n df_linked[col] = pd.to_numeric(df_linked[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_linked.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_linked.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_linked.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_linked.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n"
|
||||||
|
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|
||||||
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|
||||||
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|
||||||
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|
||||||
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|
||||||
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"fileDiff": "Index: summarize-ecsv.py\n===================================================================\n--- summarize-ecsv.py\tCurrent\n+++ summarize-ecsv.py\tProposed\n@@ -13,36 +13,30 @@\n print(f\"Error reading CSV: {e}\")\n return\n \n- # Filter to only LinkedLineItem to avoid summary rows if they exist\n- # Based on the sample, 'LinkedLineItem' seems to be the detailed records for linked accounts.\n- # 'PayerLineItem' records with empty LinkedAccountId seem to be the same data but from the payer's perspective.\n- # If we sum both, we might double count.\n+ # Filter to LinkedLineItem and PayerLineItem to get all costs without double counting summary rows\n+ valid_types = ['LinkedLineItem', 'PayerLineItem']\n+ df_filtered = df[df['RecordType'].isin(valid_types)].copy()\n \n- # Let's check unique RecordTypes first to be sure\n- record_types = df['RecordType'].unique()\n+ # If LinkedAccountId is missing, assume it belongs to the payer account\n+ df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].fillna(df_filtered['PayerAccountId'])\n+ df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].fillna(df_filtered['PayerAccountName'])\n \n- if 'LinkedLineItem' in record_types:\n- df_linked = df[df['RecordType'] == 'LinkedLineItem'].copy()\n- else:\n- # Fallback to all records if LinkedLineItem doesn't exist\n- df_linked = df.copy()\n+ # Format LinkedAccountId as string and remove .0 suffix if present\n+ df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].astype(str).apply(lambda x: x[:-2] if x.endswith('.0') else x)\n+ df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n \n- # Fill NaN for LinkedAccountId/Name\n- df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n- df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n-\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n- if col in df_linked.columns:\n- df_linked[col] = pd.to_numeric(df_linked[col], errors='coerce').fillna(0.0)\n+ if col in df_filtered.columns:\n+ df_filtered[col] = pd.to_numeric(df_filtered[col], errors='coerce').fillna(0.0)\n \n # Summarize by LinkedAccount\n agg_dict = {}\n- if 'TotalCost' in df_linked.columns: agg_dict['TotalCost'] = 'sum'\n- if 'CostBeforeTax' in df_linked.columns: agg_dict['CostBeforeTax'] = 'sum'\n- if 'TaxAmount' in df_linked.columns: agg_dict['TaxAmount'] = 'sum'\n+ if 'TotalCost' in df_filtered.columns: agg_dict['TotalCost'] = 'sum'\n+ if 'CostBeforeTax' in df_filtered.columns: agg_dict['CostBeforeTax'] = 'sum'\n+ if 'TaxAmount' in df_filtered.columns: agg_dict['TaxAmount'] = 'sum'\n \n- summary = df_linked.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n+ summary = df_filtered.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n \n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n",
|
||||||
|
"fileName": "summarize-ecsv.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/summarize-ecsv.py",
|
||||||
|
"originalContent": "import pandas as pd\nimport sys\n\ndef summarize_billing(file_path):\n print(f\"Reading {file_path}...\")\n try:\n # Load the CSV\n df = pd.read_csv(file_path, low_memory=False)\n except FileNotFoundError:\n print(f\"Error: File {file_path} not found.\")\n return\n except Exception as e:\n print(f\"Error reading CSV: {e}\")\n return\n\n # Filter to only LinkedLineItem to avoid summary rows if they exist\n # Based on the sample, 'LinkedLineItem' seems to be the detailed records for linked accounts.\n # 'PayerLineItem' records with empty LinkedAccountId seem to be the same data but from the payer's perspective.\n # If we sum both, we might double count.\n \n # Let's check unique RecordTypes first to be sure\n record_types = df['RecordType'].unique()\n \n if 'LinkedLineItem' in record_types:\n df_linked = df[df['RecordType'] == 'LinkedLineItem'].copy()\n else:\n # Fallback to all records if LinkedLineItem doesn't exist\n df_linked = df.copy()\n\n # Fill NaN for LinkedAccountId/Name\n df_linked['LinkedAccountId'] = df_linked['LinkedAccountId'].astype(str).replace('nan', 'Unknown')\n df_linked['LinkedAccountName'] = df_linked['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_linked.columns:\n df_linked[col] = pd.to_numeric(df_linked[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_linked.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_linked.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_linked.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_linked.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n\n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n summary = summary.sort_values(by='TotalCost', ascending=False)\n\n print(\"\\nBilling Summary by Linked Account:\")\n print(\"=\" * 85)\n header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n print(header)\n print(\"-\" * 85)\n\n for _, row in summary.iterrows():\n name = str(row['LinkedAccountName'])[:35]\n aid = str(row['LinkedAccountId'])\n total = row.get('TotalCost', 0)\n tax = row.get('TaxAmount', 0)\n print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n\n if 'TotalCost' in summary.columns:\n total_sum = summary['TotalCost'].sum()\n print(\"-\" * 85)\n print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n print(\"=\" * 85)\n\n # Add a breakdown by service for the top account if requested or just show it anyway?\n # Let's show top 5 accounts service breakdown.\n print(\"\\nTop 5 Accounts - Service Breakdown:\")\n for _, row in summary.head(5).iterrows():\n aid = row['LinkedAccountId']\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n if len(svc_summary) > 10:\n print(f\" ... and {len(svc_summary)-10} more services\")\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n file_path = sys.argv[1]\n else:\n file_path = 'ecsv_12_2025.csv'\n \n summarize_billing(file_path)\n",
|
||||||
|
"newContent": "import pandas as pd\nimport sys\n\ndef summarize_billing(file_path):\n print(f\"Reading {file_path}...\")\n try:\n # Load the CSV\n df = pd.read_csv(file_path, low_memory=False)\n except FileNotFoundError:\n print(f\"Error: File {file_path} not found.\")\n return\n except Exception as e:\n print(f\"Error reading CSV: {e}\")\n return\n\n # Filter to LinkedLineItem and PayerLineItem to get all costs without double counting summary rows\n valid_types = ['LinkedLineItem', 'PayerLineItem']\n df_filtered = df[df['RecordType'].isin(valid_types)].copy()\n\n # If LinkedAccountId is missing, assume it belongs to the payer account\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].fillna(df_filtered['PayerAccountId'])\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].fillna(df_filtered['PayerAccountName'])\n\n # Format LinkedAccountId as string and remove .0 suffix if present\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].astype(str).apply(lambda x: x[:-2] if x.endswith('.0') else x)\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_filtered.columns:\n df_filtered[col] = pd.to_numeric(df_filtered[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_filtered.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_filtered.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_filtered.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_filtered.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n\n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n summary = summary.sort_values(by='TotalCost', ascending=False)\n\n print(\"\\nBilling Summary by Linked Account:\")\n print(\"=\" * 85)\n header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n print(header)\n print(\"-\" * 85)\n\n for _, row in summary.iterrows():\n name = str(row['LinkedAccountName'])[:35]\n aid = str(row['LinkedAccountId'])\n total = row.get('TotalCost', 0)\n tax = row.get('TaxAmount', 0)\n print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n\n if 'TotalCost' in summary.columns:\n total_sum = summary['TotalCost'].sum()\n print(\"-\" * 85)\n print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n print(\"=\" * 85)\n\n # Add a breakdown by service for the top account if requested or just show it anyway?\n # Let's show top 5 accounts service breakdown.\n print(\"\\nTop 5 Accounts - Service Breakdown:\")\n for _, row in summary.head(5).iterrows():\n aid = row['LinkedAccountId']\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n if len(svc_summary) > 10:\n print(f\" ... and {len(svc_summary)-10} more services\")\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n file_path = sys.argv[1]\n else:\n file_path = 'ecsv_12_2025.csv'\n \n summarize_billing(file_path)\n",
|
||||||
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|
||||||
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||||||
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||||||
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||||||
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{
|
||||||
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"id": "4e29aec1-e5a4-44ce-87bc-4ca0ebb630c7",
|
||||||
|
"timestamp": "2026-01-28T16:40:18.506Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll read `summarize-ecsv.py` to identify any remaining references to `df_linked` that need to be updated to `df_filtered`.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Reviewing Script Modifications",
|
||||||
|
"description": "I'm verifying that all instances of `df_linked` have been correctly replaced with `df_filtered` within the script. I've already checked the filtering and grouping sections, but I'm now systematically reviewing the remaining parts of the code to ensure consistency and prevent errors.",
|
||||||
|
"timestamp": "2026-01-28T16:40:18.221Z"
|
||||||
|
}
|
||||||
|
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||||||
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|
||||||
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|
||||||
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||||||
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|
||||||
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||||||
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"total": 39978
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||||||
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|
||||||
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"model": "gemini-3-flash-preview",
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||||||
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"toolCalls": [
|
||||||
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{
|
||||||
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"id": "read_file-1769618418504-2641b62913dea8",
|
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|
||||||
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"args": {
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||||||
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|
||||||
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||||||
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||||||
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|
||||||
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|
||||||
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||||||
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"response": {
|
||||||
|
"output": "import pandas as pd\nimport sys\n\ndef summarize_billing(file_path):\n print(f\"Reading {file_path}...\")\n try:\n # Load the CSV\n df = pd.read_csv(file_path, low_memory=False)\n except FileNotFoundError:\n print(f\"Error: File {file_path} not found.\")\n return\n except Exception as e:\n print(f\"Error reading CSV: {e}\")\n return\n\n # Filter to LinkedLineItem and PayerLineItem to get all costs without double counting summary rows\n valid_types = ['LinkedLineItem', 'PayerLineItem']\n df_filtered = df[df['RecordType'].isin(valid_types)].copy()\n\n # If LinkedAccountId is missing, assume it belongs to the payer account\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].fillna(df_filtered['PayerAccountId'])\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].fillna(df_filtered['PayerAccountName'])\n\n # Format LinkedAccountId as string and remove .0 suffix if present\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].astype(str).apply(lambda x: x[:-2] if x.endswith('.0') else x)\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_filtered.columns:\n df_filtered[col] = pd.to_numeric(df_filtered[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_filtered.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_filtered.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_filtered.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_filtered.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n\n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n summary = summary.sort_values(by='TotalCost', ascending=False)\n\n print(\"\\nBilling Summary by Linked Account:\")\n print(\"=\" * 85)\n header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n print(header)\n print(\"-\" * 85)\n\n for _, row in summary.iterrows():\n name = str(row['LinkedAccountName'])[:35]\n aid = str(row['LinkedAccountId'])\n total = row.get('TotalCost', 0)\n tax = row.get('TaxAmount', 0)\n print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n\n if 'TotalCost' in summary.columns:\n total_sum = summary['TotalCost'].sum()\n print(\"-\" * 85)\n print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n print(\"=\" * 85)\n\n # Add a breakdown by service for the top account if requested or just show it anyway?\n # Let's show top 5 accounts service breakdown.\n print(\"\\nTop 5 Accounts - Service Breakdown:\")\n for _, row in summary.head(5).iterrows():\n aid = row['LinkedAccountId']\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n if len(svc_summary) > 10:\n print(f\" ... and {len(svc_summary)-10} more services\")\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n file_path = sys.argv[1]\n else:\n file_path = 'ecsv_12_2025.csv'\n \n summarize_billing(file_path)\n"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
|
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|
||||||
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{
|
||||||
|
"id": "78cf67e2-11b4-4eab-bb7d-ef6cc4e4e36a",
|
||||||
|
"timestamp": "2026-01-28T16:40:25.515Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll update the service breakdown section of `summarize-ecsv.py` to use `df_filtered` instead of the non-existent `df_linked`.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Revising a DataFrame",
|
||||||
|
"description": "I'm now zeroing in on a specific instance where `df_linked` is still being used, despite my earlier attempts to phase it out. The goal is clear: I must replace every instance of `df_linked` with `df_filtered` to ensure consistency. I've pinpointed the relevant line of code and am preparing to implement the substitution immediately.",
|
||||||
|
"timestamp": "2026-01-28T16:40:25.219Z"
|
||||||
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||||||
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|
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|
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|
||||||
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|
||||||
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{
|
||||||
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"id": "replace-1769618425514-284975569a9b9",
|
||||||
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"name": "replace",
|
||||||
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"args": {
|
||||||
|
"old_string": " print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n",
|
||||||
|
"file_path": "/Users/bob/git/dxw/aws-stuff/summarize-ecsv.py",
|
||||||
|
"instruction": "Use df_filtered instead of df_linked in the service breakdown loop.",
|
||||||
|
"new_string": " print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_filtered[df_filtered['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n"
|
||||||
|
},
|
||||||
|
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|
||||||
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|
||||||
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|
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|
||||||
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"name": "replace",
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||||||
|
"response": {
|
||||||
|
"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/summarize-ecsv.py (1 replacements)."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:53:39.609Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: summarize-ecsv.py\n===================================================================\n--- summarize-ecsv.py\tCurrent\n+++ summarize-ecsv.py\tProposed\n@@ -69,7 +69,7 @@\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n- account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n+ account_df = df_filtered[df_filtered['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n",
|
||||||
|
"fileName": "summarize-ecsv.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/summarize-ecsv.py",
|
||||||
|
"originalContent": "import pandas as pd\nimport sys\n\ndef summarize_billing(file_path):\n print(f\"Reading {file_path}...\")\n try:\n # Load the CSV\n df = pd.read_csv(file_path, low_memory=False)\n except FileNotFoundError:\n print(f\"Error: File {file_path} not found.\")\n return\n except Exception as e:\n print(f\"Error reading CSV: {e}\")\n return\n\n # Filter to LinkedLineItem and PayerLineItem to get all costs without double counting summary rows\n valid_types = ['LinkedLineItem', 'PayerLineItem']\n df_filtered = df[df['RecordType'].isin(valid_types)].copy()\n\n # If LinkedAccountId is missing, assume it belongs to the payer account\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].fillna(df_filtered['PayerAccountId'])\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].fillna(df_filtered['PayerAccountName'])\n\n # Format LinkedAccountId as string and remove .0 suffix if present\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].astype(str).apply(lambda x: x[:-2] if x.endswith('.0') else x)\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_filtered.columns:\n df_filtered[col] = pd.to_numeric(df_filtered[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_filtered.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_filtered.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_filtered.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_filtered.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n\n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n summary = summary.sort_values(by='TotalCost', ascending=False)\n\n print(\"\\nBilling Summary by Linked Account:\")\n print(\"=\" * 85)\n header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n print(header)\n print(\"-\" * 85)\n\n for _, row in summary.iterrows():\n name = str(row['LinkedAccountName'])[:35]\n aid = str(row['LinkedAccountId'])\n total = row.get('TotalCost', 0)\n tax = row.get('TaxAmount', 0)\n print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n\n if 'TotalCost' in summary.columns:\n total_sum = summary['TotalCost'].sum()\n print(\"-\" * 85)\n print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n print(\"=\" * 85)\n\n # Add a breakdown by service for the top account if requested or just show it anyway?\n # Let's show top 5 accounts service breakdown.\n print(\"\\nTop 5 Accounts - Service Breakdown:\")\n for _, row in summary.head(5).iterrows():\n aid = row['LinkedAccountId']\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_linked[df_linked['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n if len(svc_summary) > 10:\n print(f\" ... and {len(svc_summary)-10} more services\")\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n file_path = sys.argv[1]\n else:\n file_path = 'ecsv_12_2025.csv'\n \n summarize_billing(file_path)\n",
|
||||||
|
"newContent": "import pandas as pd\nimport sys\n\ndef summarize_billing(file_path):\n print(f\"Reading {file_path}...\")\n try:\n # Load the CSV\n df = pd.read_csv(file_path, low_memory=False)\n except FileNotFoundError:\n print(f\"Error: File {file_path} not found.\")\n return\n except Exception as e:\n print(f\"Error reading CSV: {e}\")\n return\n\n # Filter to LinkedLineItem and PayerLineItem to get all costs without double counting summary rows\n valid_types = ['LinkedLineItem', 'PayerLineItem']\n df_filtered = df[df['RecordType'].isin(valid_types)].copy()\n\n # If LinkedAccountId is missing, assume it belongs to the payer account\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].fillna(df_filtered['PayerAccountId'])\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].fillna(df_filtered['PayerAccountName'])\n\n # Format LinkedAccountId as string and remove .0 suffix if present\n df_filtered['LinkedAccountId'] = df_filtered['LinkedAccountId'].astype(str).apply(lambda x: x[:-2] if x.endswith('.0') else x)\n df_filtered['LinkedAccountName'] = df_filtered['LinkedAccountName'].astype(str).replace('nan', 'Unknown')\n\n # Convert numeric columns to numeric\n for col in ['TotalCost', 'CostBeforeTax', 'TaxAmount']:\n if col in df_filtered.columns:\n df_filtered[col] = pd.to_numeric(df_filtered[col], errors='coerce').fillna(0.0)\n\n # Summarize by LinkedAccount\n agg_dict = {}\n if 'TotalCost' in df_filtered.columns: agg_dict['TotalCost'] = 'sum'\n if 'CostBeforeTax' in df_filtered.columns: agg_dict['CostBeforeTax'] = 'sum'\n if 'TaxAmount' in df_filtered.columns: agg_dict['TaxAmount'] = 'sum'\n\n summary = df_filtered.groupby(['LinkedAccountId', 'LinkedAccountName']).agg(agg_dict).reset_index()\n\n # Sort by TotalCost descending\n if 'TotalCost' in summary.columns:\n summary = summary.sort_values(by='TotalCost', ascending=False)\n\n print(\"\\nBilling Summary by Linked Account:\")\n print(\"=\" * 85)\n header = f\"{'Account Name':<35} | {'Account ID':<15} | {'Total Cost':>12} | {'Tax':>10}\"\n print(header)\n print(\"-\" * 85)\n\n for _, row in summary.iterrows():\n name = str(row['LinkedAccountName'])[:35]\n aid = str(row['LinkedAccountId'])\n total = row.get('TotalCost', 0)\n tax = row.get('TaxAmount', 0)\n print(f\"{name:<35} | {aid:<15} | ${total:>11,.2f} | ${tax:>9,.2f}\")\n\n if 'TotalCost' in summary.columns:\n total_sum = summary['TotalCost'].sum()\n print(\"-\" * 85)\n print(f\"{'TOTAL':<53} | ${total_sum:>11,.2f}\")\n print(\"=\" * 85)\n\n # Add a breakdown by service for the top account if requested or just show it anyway?\n # Let's show top 5 accounts service breakdown.\n print(\"\\nTop 5 Accounts - Service Breakdown:\")\n for _, row in summary.head(5).iterrows():\n aid = row['LinkedAccountId']\n name = row['LinkedAccountName']\n print(f\"\\nBreakdown for {name} ({aid}):\")\n \n account_df = df_filtered[df_filtered['LinkedAccountId'] == aid]\n svc_summary = account_df.groupby('ProductName').agg({'TotalCost': 'sum'}).sort_values(by='TotalCost', ascending=False)\n \n for svc, srow in svc_summary.head(10).iterrows():\n print(f\" - {svc:<50}: ${srow['TotalCost']:>10,.2f}\")\n if len(svc_summary) > 10:\n print(f\" ... and {len(svc_summary)-10} more services\")\n\nif __name__ == \"__main__\":\n if len(sys.argv) > 1:\n file_path = sys.argv[1]\n else:\n file_path = 'ecsv_12_2025.csv'\n \n summarize_billing(file_path)\n",
|
||||||
|
"diffStat": {
|
||||||
|
"model_added_lines": 1,
|
||||||
|
"model_removed_lines": 1,
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"model_added_chars": 71,
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"model_removed_chars": 67,
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"isNewFile": false
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},
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||||||
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"displayName": "Edit",
|
||||||
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"description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n \n The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n \n Expectation for required parameters:\n 1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n 2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n 3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n 4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n 5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
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||||||
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]
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||||||
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|
||||||
|
{
|
||||||
|
"id": "db072cb6-8658-4833-8040-85adba6b2f2d",
|
||||||
|
"timestamp": "2026-01-28T16:53:52.474Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll execute the `summarize-ecsv.py` script once more to confirm that the payer account's costs are now correctly aggregated and displayed.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Evaluating the Results",
|
||||||
|
"description": "I've re-run the script as instructed, and I'm currently scrutinizing the output. It should now reflect the updated cost allocations, specifically incorporating the expenses associated with payer account `396871851 846`. I'm verifying the accuracy of these new figures.",
|
||||||
|
"timestamp": "2026-01-28T16:53:51.875Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
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||||||
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||||||
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||||||
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|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
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|
||||||
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{
|
||||||
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"id": "run_shell_command-1769619232471-21e237bcc453f8",
|
||||||
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"name": "run_shell_command",
|
||||||
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"args": {
|
||||||
|
"command": "python3 summarize-ecsv.py ecsv_12_2025.csv"
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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"name": "run_shell_command",
|
||||||
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"response": {
|
||||||
|
"output": "Command: python3 summarize-ecsv.py ecsv_12_2025.csv\nDirectory: (root)\nOutput: Reading ecsv_12_2025.csv...\n\nBilling Summary by Linked Account:\n=====================================================================================\nAccount Name | Account ID | Total Cost | Tax\n-------------------------------------------------------------------------------------\ndxw | 396871851846 | $ 34,434.97 | $ 5,739.12\ndxw-govpress | 666653442229 | $ 5,293.91 | $ 882.35\ndxw hosting - NHS England | 661178850043 | $ 3,401.83 | $ 566.95\ndxw hosting - GDS | 841480728064 | $ 2,954.81 | $ 492.45\ndxw-judiciary-dalmatian | 571543455290 | $ 2,147.26 | $ 357.94\ndxw-dalmatian-1 | 52666621102 | $ 1,345.96 | $ 224.33\ndxw-nao-dalmatian | 984225123583 | $ 1,272.44 | $ 212.12\ndxw hosting - MTVH | 876401144910 | $ 1,204.36 | $ 200.71\ndxw-dhsc | 504027283968 | $ 980.42 | $ 163.42\ndxw - Dalmatian | 511700466171 | $ 715.19 | $ 119.20\ndxw-mtvhgp | 966086556319 | $ 681.96 | $ 113.67\ndxw-rwm | 302222309765 | $ 563.11 | $ 93.86\ndxw-fcdo | 799898416595 | $ 560.92 | $ 93.48\ndxw-stgeorges | 149524467025 | $ 521.21 | $ 86.84\nCID - Prod | 12755198934 | $ 507.58 | $ 84.56\ndxw-esht | 975049938928 | $ 484.48 | $ 80.73\nCID - Staging | 590183849451 | $ 481.72 | $ 80.32\ndxw-ons | 225709814079 | $ 402.84 | $ 67.14\ndxw-natcen | 429334471753 | $ 338.72 | $ 56.48\ndxw-bas | 419128131613 | $ 338.41 | $ 56.44\ndxw-essex | 891376962999 | $ 265.22 | $ 44.20\ndxw-dalmatian-v1-pentest | 932446864135 | $ 182.93 | $ 30.48\nHelpful Transfer | 936938484656 | $ 170.60 | $ 28.43\ndxw-dfe-skills | 219661291364 | $ 56.78 | $ 9.45\ndxw - ash | 664883557209 | $ 53.61 | $ 8.92\ndxw - chris | 543586043228 | $ 21.59 | $ 3.60\ndxw-dfe-dalmatian | 129730198921 | $ 15.33 | $ 2.54\nstats-user-net | 572921893846 | $ 10.73 | $ 1.80\ndxw-dfe-fh | 42329559691 | $ 6.30 | $ 1.04\ndxw - lee | 580548153124 | $ 5.57 | $ 0.92\ndxw-beis-roda | 127426043703 | $ 0.77 | $ 0.13\ndxw-gld | 470396499948 | $ 0.44 | $ 0.06\ndxw-bob | 893439696758 | $ 0.13 | $ 0.02\nLambeth Docs | 220575105249 | $ 0.00 | $ 0.00\n-------------------------------------------------------------------------------------\nTOTAL | $ 59,422.12\n=====================================================================================\n\nTop 5 Accounts - Service Breakdown:\n\nBreakdown for dxw (396871851846):\n - Amazon Relational Database Service : $ 7,999.57\n - Savings Plans for AWS Compute usage : $ 7,142.38\n - Amazon CloudFront : $ 3,402.36\n - Amazon Elastic Compute Cloud : $ 2,939.28\n - Amazon OpenSearch Service : $ 1,341.18\n - AWS WAF : $ 1,323.86\n - Amazon Virtual Private Cloud : $ 1,221.43\n - AWS Support (Business) : $ 1,168.12\n - Elastic Load Balancing : $ 1,162.10\n - Amazon Elastic File System : $ 1,142.53\n ... and 30 more services\n\nBreakdown for dxw-govpress (666653442229):\n - Amazon Relational Database Service : $ 1,502.19\n - Amazon CloudFront : $ 966.56\n - Amazon Elastic Compute Cloud : $ 455.45\n - AWS Data Transfer : $ 370.28\n - Amazon EC2 Container Registry (ECR) : $ 320.70\n - Amazon Elastic File System : $ 312.91\n - AmazonCloudWatch : $ 252.97\n - AWS Key Management Service : $ 212.17\n - AWS WAF : $ 164.53\n - Amazon ElastiCache Line truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-01-28T16:54:11.597Z",
|
||||||
|
"resultDisplay": "Reading ecsv_12_2025.csv...\n\nBilling Summary by Linked Account:\n=====================================================================================\nAccount Name | Account ID | Total Cost | Tax\n-------------------------------------------------------------------------------------\ndxw | 396871851846 | $ 34,434.97 | $ 5,739.12\ndxw-govpress | 666653442229 | $ 5,293.91 | $ 882.35\ndxw hosting - NHS England | 661178850043 | $ 3,401.83 | $ 566.95\ndxw hosting - GDS | 841480728064 | $ 2,954.81 | $ 492.45\ndxw-judiciary-dalmatian | 571543455290 | $ 2,147.26 | $ 357.94\ndxw-dalmatian-1 | 52666621102 | $ 1,345.96 | $ 224.33\ndxw-nao-dalmatian | 984225123583 | $ 1,272.44 | $ 212.12\ndxw hosting - MTVH | 876401144910 | $ 1,204.36 | $ 200.71\ndxw-dhsc | 504027283968 | $ 980.42 | $ 163.42\ndxw - Dalmatian | 511700466171 | $ 715.19 | $ 119.20\ndxw-mtvhgp | 966086556319 | $ 681.96 | $ 113.67\ndxw-rwm | 302222309765 | $ 563.11 | $ 93.86\ndxw-fcdo | 799898416595 | $ 560.92 | $ 93.48\ndxw-stgeorges | 149524467025 | $ 521.21 | $ 86.84\nCID - Prod | 12755198934 | $ 507.58 | $ 84.56\ndxw-esht | 975049938928 | $ 484.48 | $ 80.73\nCID - Staging | 590183849451 | $ 481.72 | $ 80.32\ndxw-ons | 225709814079 | $ 402.84 | $ 67.14\ndxw-natcen | 429334471753 | $ 338.72 | $ 56.48\ndxw-bas | 419128131613 | $ 338.41 | $ 56.44\ndxw-essex | 891376962999 | $ 265.22 | $ 44.20\ndxw-dalmatian-v1-pentest | 932446864135 | $ 182.93 | $ 30.48\nHelpful Transfer | 936938484656 | $ 170.60 | $ 28.43\ndxw-dfe-skills | 219661291364 | $ 56.78 | $ 9.45\ndxw - ash | 664883557209 | $ 53.61 | $ 8.92\ndxw - chris | 543586043228 | $ 21.59 | $ 3.60\ndxw-dfe-dalmatian | 129730198921 | $ 15.33 | $ 2.54\nstats-user-net | 572921893846 | $ 10.73 | $ 1.80\ndxw-dfe-fh | 42329559691 | $ 6.30 | $ 1.04\ndxw - lee | 580548153124 | $ 5.57 | $ 0.92\ndxw-beis-roda | 127426043703 | $ 0.77 | $ 0.13\ndxw-gld | 470396499948 | $ 0.44 | $ 0.06\ndxw-bob | 893439696758 | $ 0.13 | $ 0.02\nLambeth Docs | 220575105249 | $ 0.00 | $ 0.00\n-------------------------------------------------------------------------------------\nTOTAL | $ 59,422.12\n=====================================================================================\n\nTop 5 Accounts - Service Breakdown:\n\nBreakdown for dxw (396871851846):\n - Amazon Relational Database Service : $ 7,999.57\n - Savings Plans for AWS Compute usage : $ 7,142.38\n - Amazon CloudFront : $ 3,402.36\n - Amazon Elastic Compute Cloud : $ 2,939.28\n - Amazon OpenSearch Service : $ 1,341.18\n - AWS WAF : $ 1,323.86\n - Amazon Virtual Private Cloud : $ 1,221.43\n - AWS Support (Business) : $ 1,168.12\n - Elastic Load Balancing : $ 1,162.10\n - Amazon Elastic File System : $ 1,142.53\n ... and 30 more services\n\nBreakdown for dxw-govpress (666653442229):\n - Amazon Relational Database Service : $ 1,502.19\n - Amazon CloudFront : $ 966.56\n - Amazon Elastic Compute Cloud : $ 455.45\n - AWS Data Transfer : $ 370.28\n - Amazon EC2 Container Registry (ECR) : $ 320.70\n - Amazon Elastic File System : $ 312.91\n - AmazonCloudWatch : $ 252.97\n - AWS Key Management Service : $ 212.17\n - AWS WAF : $ 164.53\n - Amazon ElastiCache : $ 135.71\n ... and 18 more services\n\nBreakdown for dxw hosLine truncated
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. Command can start background processes using `&`. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n The following information is returned:\n\n Command: Executed command.\n Directory: Directory where command was executed, or `(root)`.\n Stdout: Output on stdout stream. Can be `(empty)` or partial on error and for any unwaited background processes.\n Stderr: Output on stderr stream. Can be `(empty)` or partial on error and for any unwaited background processes.\n Error: Error or `(none)` if no error was reported for the subprocess.\n Exit Code: Exit code or `(none)` if terminated by signal.\n Signal: Signal number or `(none)` if no signal was received.\n Background PIDs: List of background processes started or `(none)`.\n Process Group PGID: Process group started or `(none)`",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "4b33d0b6-7c42-4327-a554-9ab324228106",
|
||||||
|
"timestamp": "2026-01-28T16:54:15.144Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have created the `summarize-ecsv.py` script, which summarizes your AWS billing data from `ecsv_12_2025.csv` by `LinkedAccountId`. Per your request, any costs without a `LinkedAccountId` (such as `PayerLineItem` records) are attributed to the payer account. The script provides a high-level summary table and a detailed service breakdown for the top 5 accounts.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Reviewing the Results",
|
||||||
|
"description": "I'm pleased to report that the figures are now significantly improved. The payer account `dxw ( 396871851846)` reflects a more accurate total, incorporating the previously unallocated `PayerLineItem` costs. I consider the task complete.",
|
||||||
|
"timestamp": "2026-01-28T16:54:15.076Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 43883,
|
||||||
|
"output": 92,
|
||||||
|
"cached": 39534,
|
||||||
|
"thoughts": 60,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 44035
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"summary": "Create script to summarize CSV by LinkedAccountId."
|
||||||
|
}
|
||||||
@@ -0,0 +1,600 @@
|
|||||||
|
{
|
||||||
|
"sessionId": "04a4103e-2b12-4236-8ee4-6b36061a0d17",
|
||||||
|
"projectHash": "c4ece9c032ac20d038bbd73e9aa5f86cb3fd24c826b8e99b6edcd77db288fcb1",
|
||||||
|
"startTime": "2026-02-11T17:21:11.711Z",
|
||||||
|
"lastUpdated": "2026-02-11T17:31:51.952Z",
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"id": "fee3ca2e-5206-4ed0-a8e2-43b983a638d1",
|
||||||
|
"timestamp": "2026-02-11T17:21:11.711Z",
|
||||||
|
"type": "info",
|
||||||
|
"content": "Gemini CLI update available! 0.28.0 → 0.28.1\nInstalled via Homebrew. Please update with \"brew upgrade gemini-cli\"."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "78ca9582-44f6-4284-a5f2-3001a735a938",
|
||||||
|
"timestamp": "2026-02-11T17:21:43.179Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "write a script which tells me the average bandwidth usage over the last 12 months for an account. see @bwsuage.py for how we work out bandwidth"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\n--- Content from referenced files ---"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\nContent from @bwsuage.py:\n"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "import boto3\nfrom datetime import datetime, timedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n # Only include active accounts to avoid confusion\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_total_bandwidth_report(threshold_gb=100.0):\n ce_client = boto3.client('ce')\n \n # 1. Get the master list of all accounts\n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # 2. Set dates for previous month\n now = datetime.now()\n first_day_current = now.replace(day=1)\n last_day_prev = first_day_current - timedelta(days=1)\n start_date = last_day_prev.replace(day=1).strftime('%Y-%m-%d')\n end_date = first_day_current.strftime('%Y-%m-%d')\n\n # 3. Initialize tracking for all accounts at 0.0\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n # 4. Query Cost Explorer (with pagination)\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Broad filter for Data Transfer\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n # Add to total if account exists in our master list\n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n # Account might have been deleted/closed but has historical data\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n # 5. Generate the Final Report\n print(f\"\\n--- Full Bandwidth Report (Incl. 0 Usage) ---\")\n print(f\"Period: {start_date} to {last_day_prev.strftime('%Y-%m-%d')}\")\n print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n # Sort: Highest usage first, then alphabetically for 0-usage accounts\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: (x[1], all_accounts.get(x[0], x[0])), \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n \n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n usage_str = f\"{total_usage:>10.2f} GB\"\n overage_str = f\"{overage:>8.2f} GB {status_icon}\"\n \n # Highlight accounts with actual usage\n print(f\"{acc_name[:25]:<25} | {usage_str} | {overage_str}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n print(f\"Accounts with >0 usage: {len([v for v in account_totals.values() if v > 0])}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_total_bandwidth_report(100.0)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\n--- End of content ---"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"displayContent": [
|
||||||
|
{
|
||||||
|
"text": "write a script which tells me the average bandwidth usage over the last 12 months for an account. see @bwsuage.py for how we work out bandwidth"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "7d7eb510-dd7e-401f-90af-7afea89b18b9",
|
||||||
|
"timestamp": "2026-02-11T17:22:03.152Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will create a new script named `avg_bandwidth_12months.py` that calculates the average monthly bandwidth usage for each account in your organization over the last 12 months, following the bandwidth calculation logic found in `bwsuage.py`.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Calculating AWS Bandwidth",
|
||||||
|
"description": "I'm focusing on crafting a script to determine average bandwidth consumption across an AWS account for the past year. I'm leveraging `bwusage.py` as a blueprint, which utilizes the Cost Explorer API's `get_cost_and_usage` to analyze `USAGE_TYPE` data, specifically filtering for \"DataTransfer\" to capture relevant bandwidth metrics.",
|
||||||
|
"timestamp": "2026-02-11T17:21:52.131Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Developing the Core Logic",
|
||||||
|
"description": "I'm now zeroing in on the script's core functionality. I'm leveraging `bwusage.py`'s framework, using the Cost Explorer API and `boto3`. My current focus is crafting the function to retrieve 12 months of bandwidth data, using the \"DataTransfer\" `USAGE_TYPE` and `LINKED_ACCOUNT` dimensions. I'm working through date calculations to ensure precise monthly periods and plan to aggregate the data before averaging.",
|
||||||
|
"timestamp": "2026-02-11T17:21:54.495Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Querying Cost Explorer Details",
|
||||||
|
"description": "I'm now going deeper into the specific Cost Explorer calls. The key is correctly formatting the date ranges and understanding how `bwusage.py` filters for \"DataTransfer\" types and converts units. I've pinpointed the `get_cost_and_usage` parameters and am focusing on setting `Granularity='MONTHLY'` to streamline the data retrieval for the 12-month period. I'm also ensuring proper handling of Bytes/MB to GB conversions, matching the existing logic.",
|
||||||
|
"timestamp": "2026-02-11T17:21:57.807Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Constructing the Core Script",
|
||||||
|
"description": "I'm now outlining the script structure, naming it `avg_bandwidth_12months.py`. The fundamental approach mirrors `bwusage.py`, but will use a 12-month period for calculation. I will query the Cost Explorer for each account, applying the unit conversion logic from the reference script. The structure includes account retrieval, date range computation, Cost Explorer queries, and averaging the data to fulfill the user's requirements.",
|
||||||
|
"timestamp": "2026-02-11T17:21:57.825Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
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|
||||||
|
"output": 1104,
|
||||||
|
"cached": 0,
|
||||||
|
"thoughts": 776,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 17982
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "write_file-1770830523150-548649ad8745d8",
|
||||||
|
"name": "write_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "avg_bandwidth_12months.py",
|
||||||
|
"content": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n # Actually, we can just track the total and divide by 12 at the end\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "write_file-1770830523150-548649ad8745d8",
|
||||||
|
"name": "write_file",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-11T17:22:49.123Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tOriginal\n+++ avg_bandwidth_12months.py\tWritten\n@@ -0,0 +1,104 @@\n+import boto3\n+from datetime import datetime, timedelta\n+from dateutil.relativedelta import relativedelta\n+\n+def get_all_accounts():\n+ \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n+ org_client = boto3.client('organizations')\n+ account_map = {}\n+ try:\n+ paginator = org_client.get_paginator('list_accounts')\n+ for page in paginator.paginate():\n+ for account in page['Accounts']:\n+ if account['Status'] == 'ACTIVE':\n+ account_map[account['Id']] = account['Name']\n+ except Exception as e:\n+ print(f\"Error fetching account list: {e}\")\n+ return account_map\n+\n+def get_average_bandwidth_report():\n+ ce_client = boto3.client('ce')\n+ \n+ all_accounts = get_all_accounts()\n+ if not all_accounts:\n+ print(\"Could not retrieve account list. Check Organizations permissions.\")\n+ return\n+\n+ # Set dates for the last 12 full months\n+ now = datetime.now()\n+ first_day_current_month = now.replace(day=1)\n+ end_date = first_day_current_month.strftime('%Y-%m-%d')\n+ start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n+\n+ # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n+ # Actually, we can just track the total and divide by 12 at the end\n+ account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n+ \n+ next_token = None\n+\n+ try:\n+ while True:\n+ params = {\n+ 'TimePeriod': {'Start': start_date, 'End': end_date},\n+ 'Granularity': 'MONTHLY',\n+ 'Metrics': ['UsageQuantity'],\n+ 'GroupBy': [\n+ {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n+ {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n+ ]\n+ }\n+ if next_token:\n+ params['NextPageToken'] = next_token\n+\n+ response = ce_client.get_cost_and_usage(**params)\n+\n+ for result in response['ResultsByTime']:\n+ for group in result['Groups']:\n+ acc_id = group['Keys'][0]\n+ usage_type = group['Keys'][1]\n+ usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n+ unit = group['Metrics']['UsageQuantity']['Unit']\n+\n+ # Bandwidth calculation logic from bwsuage.py\n+ if \"DataTransfer\" in usage_type:\n+ if unit == 'Bytes':\n+ usage_amount /= (1024**3)\n+ elif unit in ['MB', 'Megabytes']:\n+ usage_amount /= 1024\n+ \n+ if acc_id in account_totals:\n+ account_totals[acc_id] += usage_amount\n+ else:\n+ account_totals[acc_id] = usage_amount\n+\n+ next_token = response.get('NextPageToken')\n+ if not next_token:\n+ break\n+\n+ print(f\"\n+--- 12-Month Average Bandwidth Report ---\")\n+ print(f\"Period: {start_date} to {end_date}\")\n+ print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n+ print(\"-\" * 75)\n+\n+ # Sort by monthly average descending\n+ sorted_accounts = sorted(\n+ account_totals.items(), \n+ key=lambda x: x[1], \n+ reverse=True\n+ )\n+ \n+ for acc_id, total_usage in sorted_accounts:\n+ acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n+ avg_usage = total_usage / 12.0\n+ \n+ print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n+\n+ print(f\"\n+Total Accounts Scanned: {len(all_accounts)}\")\n+\n+ except Exception as e:\n+ print(f\"Error: {e}\")\n+\n+if __name__ == \"__main__\":\n+ get_average_bandwidth_report()\n",
|
||||||
|
"fileName": "avg_bandwidth_12months.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"originalContent": "",
|
||||||
|
"newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n # Actually, we can just track the total and divide by 12 at the end\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
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|
||||||
|
"description": "Writes content to a specified file in the local filesystem.\n\n The user has the ability to modify `content`. If modified, this will be stated in the response.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "6d14026d-635c-45d3-949f-60372ec946b3",
|
||||||
|
"timestamp": "2026-02-11T17:23:10.614Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have created the script `avg_bandwidth_12months.py`. It uses the Cost Explorer API to fetch data transfer usage for the last 12 full months, aggregates it by account, and calculates the monthly average.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Verifying the Script's Execution",
|
||||||
|
"description": "I've written the script and now need to ensure it runs correctly, looking for potential errors. I'm focusing on the `dateutil` dependency and whether it is present. The file structure is being used to find the right files to check.",
|
||||||
|
"timestamp": "2026-02-11T17:23:07.084Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Validating Script Functionality",
|
||||||
|
"description": "I've reviewed the script's core components, concentrating on the intended data transfer aggregation using Cost Explorer. I'm verifying the 12-month range calculation and confirm that it aggregates \"DataTransfer\" and calculates the average. My current focus is refining the output and ensuring clarity between total, average, and any threshold criteria from the original script that may need removing.",
|
||||||
|
"timestamp": "2026-02-11T17:23:09.420Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Checking the Script's Integrity",
|
||||||
|
"description": "I've confirmed the `dateutil` dependency's presence within the virtual environment, cross-referencing file paths to ensure `python-dateutil` is installed. I ran a mental audit of the core features and the logic, paying close attention to the bandwidth calculations and their consistency with the prior script. I then ran a syntax check using `python3 -m py_compile`, to identify any potential initial problems.",
|
||||||
|
"timestamp": "2026-02-11T17:23:10.360Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 17238,
|
||||||
|
"output": 85,
|
||||||
|
"cached": 0,
|
||||||
|
"thoughts": 496,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 17819
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "run_shell_command-1770830590612-1fc8eabce8188",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"command": "python3 -m py_compile avg_bandwidth_12months.py",
|
||||||
|
"description": "Check for syntax errors in the newly created script."
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "run_shell_command-1770830590612-1fc8eabce8188",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"response": {
|
||||||
|
"output": "Output: File \"avg_bandwidth_12months.py\", line 78\n print(f\"\n ^\nSyntaxError: unterminated f-string literal (detected at line 78)\nExit Code: 1\nProcess Group PGID: 58895"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-11T17:23:25.635Z",
|
||||||
|
"resultDisplay": " File \"avg_bandwidth_12months.py\", line 78\n print(f\"\n ^\nSyntaxError: unterminated f-string literal (detected at line 78)",
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. To run a command in the background, set the `is_background` parameter to true. Do NOT use `&` to background commands. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n The following information is returned:\n\n Output: Combined stdout/stderr. Can be `(empty)` or partial on error and for any unwaited background processes.\n Exit Code: Only included if non-zero (command failed).\n Error: Only included if a process-level error occurred (e.g., spawn failure).\n Signal: Only included if process was terminated by a signal.\n Background PIDs: Only included if background processes were started.\n Process Group PGID: Only included if available.",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "a277c63f-f8a1-4d2d-a49c-63a4e9567cbe",
|
||||||
|
"timestamp": "2026-02-11T17:24:50.127Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll read the file to identify and fix the syntax error.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Analyzing the Code",
|
||||||
|
"description": "I've identified a syntax error, likely in the print statement near line 78. Now, I'm examining the `write_file` call, specifically the print statement where the error occurred. I'll read the file content to understand the context fully.",
|
||||||
|
"timestamp": "2026-02-11T17:24:49.876Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Checking File Contents",
|
||||||
|
"description": "Okay, I just re-read the relevant part of the file. The syntax error is definitely in that print statement on line 78. Now I'll trace back through the `write_file` function to understand why that print statement failed, and why it's there.",
|
||||||
|
"timestamp": "2026-02-11T17:24:49.891Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 17390,
|
||||||
|
"output": 34,
|
||||||
|
"cached": 0,
|
||||||
|
"thoughts": 72,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 17496
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file-1770830690126-7b3665f2dd302",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "avg_bandwidth_12months.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file-1770830690126-7b3665f2dd302",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n # Actually, we can just track the total and divide by 12 at the end\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-11T17:24:50.145Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "5167bfc9-a166-4aec-bf2a-b2ae0a9360d0",
|
||||||
|
"timestamp": "2026-02-11T17:25:46.587Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll fix the syntax errors by correcting the broken f-strings.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Correcting the output",
|
||||||
|
"description": "I'm zeroing in on the file output formatting. The f-string interpretation caused some issues with line breaks. My plan is to rectify the situation by employing the `replace` function to correctly insert the newline characters. This should ensure the output is properly formatted.",
|
||||||
|
"timestamp": "2026-02-11T17:25:46.284Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 18454,
|
||||||
|
"output": 152,
|
||||||
|
"cached": 0,
|
||||||
|
"thoughts": 128,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 18734
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "replace-1770830746581-9d7cac6df02ff",
|
||||||
|
"name": "replace",
|
||||||
|
"args": {
|
||||||
|
"old_string": " if not next_token:\n break\n\n print(f\"\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")",
|
||||||
|
"file_path": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"expected_replacements": 1,
|
||||||
|
"instruction": "Fix the broken f-string in the report header.",
|
||||||
|
"new_string": " if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "replace-1770830746581-9d7cac6df02ff",
|
||||||
|
"name": "replace",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py (1 replacements)."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-11T17:26:19.438Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tCurrent\n+++ avg_bandwidth_12months.py\tProposed\n@@ -75,8 +75,7 @@\n if not next_token:\n break\n \n- print(f\"\n---- 12-Month Average Bandwidth Report ---\")\n+ print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n",
|
||||||
|
"fileName": "avg_bandwidth_12months.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"originalContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n # Actually, we can just track the total and divide by 12 at the end\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
"newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n # Actually, we can just track the total and divide by 12 at the end\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
"diffStat": {
|
||||||
|
"model_added_lines": 1,
|
||||||
|
"model_removed_lines": 2,
|
||||||
|
"model_added_chars": 61,
|
||||||
|
"model_removed_chars": 59,
|
||||||
|
"user_added_lines": 1,
|
||||||
|
"user_removed_lines": 99,
|
||||||
|
"user_added_chars": 52,
|
||||||
|
"user_removed_chars": 3619
|
||||||
|
},
|
||||||
|
"isNewFile": false
|
||||||
|
},
|
||||||
|
"displayName": "Edit",
|
||||||
|
"description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n \n The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n \n Expectation for required parameters:\n 1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n 2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n 3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n 4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n 5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
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|
||||||
|
{
|
||||||
|
"id": "ca5920f1-48b8-4dab-a08e-9c93f81e4351",
|
||||||
|
"timestamp": "2026-02-11T17:26:42.042Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll fix the second broken f-string at the end of the script.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Considering Adjustments Needed",
|
||||||
|
"description": "I'm focused on the second item now. It needs some tweaking, a bit of rearrangement to fit better. I'm exploring different options to get the phrasing just right, so it flows smoothly with the first. The goal is to maximize impact, as I refine.",
|
||||||
|
"timestamp": "2026-02-11T17:26:41.322Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
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|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
"tool": 0,
|
||||||
|
"total": 18862
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||||||
|
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|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "replace-1770830802040-1237993fe633c8",
|
||||||
|
"name": "replace",
|
||||||
|
"args": {
|
||||||
|
"file_path": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"instruction": "Fix the broken f-string in the final account count print statement.",
|
||||||
|
"old_string": " print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:",
|
||||||
|
"new_string": " print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:",
|
||||||
|
"expected_replacements": 1
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
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|
||||||
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"id": "replace-1770830802040-1237993fe633c8",
|
||||||
|
"name": "replace",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py (1 replacements)."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-11T17:26:46.380Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tCurrent\n+++ avg_bandwidth_12months.py\tProposed\n@@ -93,8 +93,7 @@\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n \n- print(f\"\n-Total Accounts Scanned: {len(all_accounts)}\")\n+ print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n \n except Exception as e:\n print(f\"Error: {e}\")\n",
|
||||||
|
"fileName": "avg_bandwidth_12months.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"originalContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n # Actually, we can just track the total and divide by 12 at the end\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
"newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n # Actually, we can just track the total and divide by 12 at the end\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
"diffStat": {
|
||||||
|
"model_added_lines": 1,
|
||||||
|
"model_removed_lines": 2,
|
||||||
|
"model_added_chars": 63,
|
||||||
|
"model_removed_chars": 61,
|
||||||
|
"user_added_lines": 1,
|
||||||
|
"user_removed_lines": 98,
|
||||||
|
"user_added_chars": 26,
|
||||||
|
"user_removed_chars": 3585
|
||||||
|
},
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||||||
|
"isNewFile": false
|
||||||
|
},
|
||||||
|
"displayName": "Edit",
|
||||||
|
"description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n \n The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n \n Expectation for required parameters:\n 1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n 2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n 3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n 4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n 5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "3543a5bd-dc79-4945-9f31-f466a0e2946d",
|
||||||
|
"timestamp": "2026-02-11T17:26:55.399Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll verify the script's syntax once more.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Checking the Code Again",
|
||||||
|
"description": "I'm currently revisiting the syntax, ensuring everything aligns perfectly. Minor adjustments have been made based on the latest review. I anticipate further refinement as I delve deeper, but so far, things look promising.",
|
||||||
|
"timestamp": "2026-02-11T17:26:55.150Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 18885,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"total": 18939
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "run_shell_command-1770830815396-dcb6771c807ff",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"description": "Check for syntax errors in the fixed script.",
|
||||||
|
"command": "python3 -m py_compile avg_bandwidth_12months.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "run_shell_command-1770830815396-dcb6771c807ff",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"response": {
|
||||||
|
"output": "Output: (empty)\nProcess Group PGID: 59324"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-11T17:27:00.410Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. To run a command in the background, set the `is_background` parameter to true. Do NOT use `&` to background commands. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n The following information is returned:\n\n Output: Combined stdout/stderr. Can be `(empty)` or partial on error and for any unwaited background processes.\n Exit Code: Only included if non-zero (command failed).\n Error: Only included if a process-level error occurred (e.g., spawn failure).\n Signal: Only included if process was terminated by a signal.\n Background PIDs: Only included if background processes were started.\n Process Group PGID: Only included if available.",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "ed66efc1-b4a5-4cde-bf3d-03eef336ab07",
|
||||||
|
"timestamp": "2026-02-11T17:27:08.752Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I've created `avg_bandwidth_12months.py`, which calculates the monthly average bandwidth usage per account over the last 12 months, using the logic from `bwsuage.py`.\n\n```python\nimport boto3\nfrom datetime import datetime\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every active account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic matched from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n```",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Refining Implementation Strategy",
|
||||||
|
"description": "I've confirmed the script's syntax is sound and ready. I'm now reviewing `bwsuage.py` for any other relevant logic. I noted the `threshold_gb` parameter in `get_total_bandwidth_report()`. The user's instructions omitted it, so I'll need to decide how to handle the parameter.",
|
||||||
|
"timestamp": "2026-02-11T17:27:02.991Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Assessing Parameter Handling",
|
||||||
|
"description": "The script is ready, and syntax is confirmed! I'm now wrestling with the `threshold_gb` parameter in `get_total_bandwidth_report()`. Since the user didn't mention it, I will ignore it. I'll make sure to leave boto3 configuration to defaults. I think it is time to package everything up and present it.",
|
||||||
|
"timestamp": "2026-02-11T17:27:03.716Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 18953,
|
||||||
|
"output": 1022,
|
||||||
|
"cached": 0,
|
||||||
|
"thoughts": 140,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 20115
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "9e492535-afeb-41d7-bfff-bd238dcfa0e7",
|
||||||
|
"timestamp": "2026-02-11T17:30:12.767Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "also show average cost"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
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"id": "9a9440b9-89ad-437a-8618-623970534b25",
|
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"timestamp": "2026-02-11T17:30:24.585Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will update the `avg_bandwidth_12months.py` script to include both usage quantity and unblended cost metrics, allowing it to report the average monthly cost alongside the bandwidth usage.",
|
||||||
|
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|
||||||
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|
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|
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|
||||||
|
"new_string": " # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id not in account_totals:\n account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n \n account_totals[acc_id]['usage'] += usage_amount\n account_totals[acc_id]['cost'] += cost_amount",
|
||||||
|
"instruction": "Add cost metrics to the Cost Explorer query and track totals for both usage and cost.",
|
||||||
|
"old_string": " # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n # Actually, we can just track the total and divide by 12 at the end\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount",
|
||||||
|
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|
||||||
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|
||||||
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py (1 replacements)."
|
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|
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
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"fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tCurrent\n+++ avg_bandwidth_12months.py\tProposed\n@@ -30,9 +30,8 @@\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n \n- # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n- # Actually, we can just track the total and divide by 12 at the end\n- account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n+ # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n+ account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n \n@@ -41,7 +40,7 @@\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n- 'Metrics': ['UsageQuantity'],\n+ 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n@@ -58,6 +57,7 @@\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n+ cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n \n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n@@ -66,10 +66,11 @@\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n- if acc_id in account_totals:\n- account_totals[acc_id] += usage_amount\n- else:\n- account_totals[acc_id] = usage_amount\n+ if acc_id not in account_totals:\n+ account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n+ \n+ account_totals[acc_id]['usage'] += usage_amount\n+ account_totals[acc_id]['cost'] += cost_amount\n \n next_token = response.get('NextPageToken')\n if not next_token:\n",
|
||||||
|
"fileName": "avg_bandwidth_12months.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"originalContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: [usage_month1, usage_month2, ...]}\n # Actually, we can just track the total and divide by 12 at the end\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
"newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id not in account_totals:\n account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n \n account_totals[acc_id]['usage'] += usage_amount\n account_totals[acc_id]['cost'] += cost_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
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"description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n \n The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n \n Expectation for required parameters:\n 1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n 2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n 3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n 4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n 5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
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|
||||||
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{
|
||||||
|
"id": "21b7760d-e6aa-400b-b82f-6ce428d99ef4",
|
||||||
|
"timestamp": "2026-02-11T17:31:21.096Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'll update the report printing logic to include the average cost column and sort by cost.",
|
||||||
|
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|
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|
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|
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|
||||||
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{
|
||||||
|
"id": "replace-1770831081090-f6e59423d87a18",
|
||||||
|
"name": "replace",
|
||||||
|
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|
||||||
|
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|
||||||
|
"file_path": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"new_string": " print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n print(\"-\" * 80)\n\n # Sort by total cost descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1]['cost'], \n reverse=True\n )\n \n for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = totals['usage'] / 12.0\n avg_cost = totals['cost'] / 12.0\n total_cost = totals['cost']\n \n print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")",
|
||||||
|
"instruction": "Update the report table to include average cost and sort by total cost descending.",
|
||||||
|
"old_string": " print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")"
|
||||||
|
},
|
||||||
|
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|
||||||
|
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|
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|
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|
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"id": "replace-1770831081090-f6e59423d87a18",
|
||||||
|
"name": "replace",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py (1 replacements)."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-11T17:31:34.795Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tCurrent\n+++ avg_bandwidth_12months.py\tProposed\n@@ -76,23 +76,25 @@\n if not next_token:\n break\n \n- print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n+ print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n- print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n- print(\"-\" * 75)\n+ print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n+ print(\"-\" * 80)\n \n- # Sort by monthly average descending\n+ # Sort by total cost descending\n sorted_accounts = sorted(\n account_totals.items(), \n- key=lambda x: x[1], \n+ key=lambda x: x[1]['cost'], \n reverse=True\n )\n \n- for acc_id, total_usage in sorted_accounts:\n+ for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n- avg_usage = total_usage / 12.0\n+ avg_usage = totals['usage'] / 12.0\n+ avg_cost = totals['cost'] / 12.0\n+ total_cost = totals['cost']\n \n- print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n+ print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n \n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n \n",
|
||||||
|
"fileName": "avg_bandwidth_12months.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"originalContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id not in account_totals:\n account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n \n account_totals[acc_id]['usage'] += usage_amount\n account_totals[acc_id]['cost'] += cost_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'12m Total (GB)':<15} | {'Monthly Avg (GB)'}\")\n print(\"-\" * 75)\n\n # Sort by monthly average descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1], \n reverse=True\n )\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = total_usage / 12.0\n \n print(f\"{acc_name[:25]:<25} | {total_usage:>15.2f} | {avg_usage:>16.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
"newContent": "import boto3\nfrom datetime import datetime, timedelta\nfrom dateutil.relativedelta import relativedelta\n\ndef get_all_accounts():\n \"\"\"Fetches every account ID and Name in the organization.\"\"\"\n org_client = boto3.client('organizations')\n account_map = {}\n try:\n paginator = org_client.get_paginator('list_accounts')\n for page in paginator.paginate():\n for account in page['Accounts']:\n if account['Status'] == 'ACTIVE':\n account_map[account['Id']] = account['Name']\n except Exception as e:\n print(f\"Error fetching account list: {e}\")\n return account_map\n\ndef get_average_bandwidth_report():\n ce_client = boto3.client('ce')\n \n all_accounts = get_all_accounts()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id not in account_totals:\n account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n \n account_totals[acc_id]['usage'] += usage_amount\n account_totals[acc_id]['cost'] += cost_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n print(\"-\" * 80)\n\n # Sort by total cost descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1]['cost'], \n reverse=True\n )\n \n for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = totals['usage'] / 12.0\n avg_cost = totals['cost'] / 12.0\n total_cost = totals['cost']\n \n print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
"diffStat": {
|
||||||
|
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|
||||||
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||||||
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||||||
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|
||||||
|
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||||||
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||||||
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||||||
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|
||||||
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|
||||||
|
"isNewFile": false
|
||||||
|
},
|
||||||
|
"displayName": "Edit",
|
||||||
|
"description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n \n The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n \n Expectation for required parameters:\n 1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n 2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n 3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n 4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n 5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "b28be19c-9cff-47a8-b419-cfa1d7ec974e",
|
||||||
|
"timestamp": "2026-02-11T17:31:51.952Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have updated `avg_bandwidth_12months.py` to include average monthly cost. The script now queries for `UnblendedCost` and `UsageQuantity`, and the output table displays the average monthly GB, average monthly cost, and the 12-month total cost for each account.",
|
||||||
|
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|
||||||
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|
||||||
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||||||
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||||||
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||||||
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|
||||||
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},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
File diff suppressed because it is too large.
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Load diff
@@ -0,0 +1,989 @@
|
|||||||
|
{
|
||||||
|
"sessionId": "153fb7df-e3ce-41e9-b9ef-785e8c57d032",
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||||||
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||||||
|
"startTime": "2026-02-13T14:30:47.296Z",
|
||||||
|
"lastUpdated": "2026-02-16T12:12:16.978Z",
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"id": "7965ed2a-a137-4692-b98d-f6b1d9cf55d3",
|
||||||
|
"timestamp": "2026-02-13T14:30:47.296Z",
|
||||||
|
"type": "error",
|
||||||
|
"content": "Error during discovery for MCP server 'terraform': MCP error -32000: Connection closed"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "a7119688-9ba3-4e2d-8007-b56c5fa13e6a",
|
||||||
|
"timestamp": "2026-02-13T14:31:30.868Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "since we no longer use ruby. remove the Gemfile"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "0276521f-d1cf-48c6-8195-67b723925389",
|
||||||
|
"timestamp": "2026-02-13T14:31:34.771Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will remove the Ruby-related files `Gemfile` and `Gemfile.lock` as they are no longer needed.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Assessing File Existence",
|
||||||
|
"description": "I'm currently verifying the existence of the `Gemfile` and `Gemfile.lock`. Once I confirm their presence, I'll proceed with the removal of each file. It seems straightforward so far, but I always want to be careful and make sure before doing anything!",
|
||||||
|
"timestamp": "2026-02-13T14:31:33.837Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Outlining Removal Procedures",
|
||||||
|
"description": "I've sketched out the procedural steps for removing the `Gemfile` and `Gemfile.lock`. First, a verification step is planned to confirm the existence of both files. Then I'll execute the removal commands, followed by validation to ensure success. I am also making sure that these files can be easily re-added, should they be needed.",
|
||||||
|
"timestamp": "2026-02-13T14:31:33.839Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Formulating the Deletion Strategy",
|
||||||
|
"description": "Okay, so I've confirmed I need to get rid of `Gemfile` and `Gemfile.lock`, and the plan is in place. Now, I'm thinking about the most efficient way to achieve this. I will leverage `rm` commands and then will verify their removal. I'm aiming for clean and safe execution.",
|
||||||
|
"timestamp": "2026-02-13T14:31:34.557Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 12958,
|
||||||
|
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|
||||||
|
"cached": 3303,
|
||||||
|
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|
||||||
|
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|
||||||
|
"total": 13113
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||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "run_shell_command-1770993094769-d9f3fd9d31297",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"command": "rm Gemfile Gemfile.lock",
|
||||||
|
"description": "Remove unused Ruby Gemfile and Gemfile.lock."
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "run_shell_command-1770993094769-d9f3fd9d31297",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"response": {
|
||||||
|
"output": "Output: (empty)\nProcess Group PGID: 26041"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:31:39.169Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. To run a command in the background, set the `is_background` parameter to true. Do NOT use `&` to background commands. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n The following information is returned:\n\n Output: Combined stdout/stderr. Can be `(empty)` or partial on error and for any unwaited background processes.\n Exit Code: Only included if non-zero (command failed).\n Error: Only included if a process-level error occurred (e.g., spawn failure).\n Signal: Only included if process was terminated by a signal.\n Background PIDs: Only included if background processes were started.\n Process Group PGID: Only included if available.",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "05892a81-459c-4a59-893d-cf6d993a60b1",
|
||||||
|
"timestamp": "2026-02-13T14:31:41.639Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "list_directory-1770993101609-0442f7623b0e78",
|
||||||
|
"name": "list_directory",
|
||||||
|
"args": {
|
||||||
|
"dir_path": "."
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "list_directory-1770993101609-0442f7623b0e78",
|
||||||
|
"name": "list_directory",
|
||||||
|
"response": {
|
||||||
|
"output": "Directory listing for /Users/bob/git/dxw/aws-stuff:\n[DIR] tests\n.env.example\n.gitignore\navg_bandwidth_12months.py\naws_bills.py\naws_cost.py\naws_utils.py\naws-asg-lt-ami.py\naws-ec2-ami.py\naws-ips.py\naws-metrics.py\naws-vpc.py\nbwsuage.py\ncloudfront.py\nec2_price.py\nGEMINI.md\ngenerate-billing-sheets.py\nlast-2-months-billing.py\nlist_rds_instances.py\nnot_running_latest.py\nrds_price.py\nREADME.md\nrequirements.txt\nservice-spend-by-account.py\nstorage-usage.py\nsummarize-ecsv.py\ntest.py\n\n(15 ignored)"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:31:41.639Z",
|
||||||
|
"resultDisplay": "Listed 27 item(s). (15 ignored)",
|
||||||
|
"displayName": "ReadFolder",
|
||||||
|
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|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
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|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Confirming the Deletion",
|
||||||
|
"description": "I've just finished verifying the file removal. Everything seems to be as it should, with no trace of the items that were previously there. Further investigation isn't needed here. The task is complete.",
|
||||||
|
"timestamp": "2026-02-13T14:31:41.411Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"total": 13055
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "8d6e6199-443f-46e8-a8e4-83013ff0e1a3",
|
||||||
|
"timestamp": "2026-02-13T14:31:45.405Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "grep_search-1770993105344-b4d97f6dc70cf",
|
||||||
|
"name": "grep_search",
|
||||||
|
"args": {
|
||||||
|
"pattern": "Gemfile|ruby"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "grep_search-1770993105344-b4d97f6dc70cf",
|
||||||
|
"name": "grep_search",
|
||||||
|
"response": {
|
||||||
|
"output": "No matches found for pattern \"Gemfile|ruby\" in path \".\"."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:31:45.405Z",
|
||||||
|
"resultDisplay": "No matches found",
|
||||||
|
"displayName": "SearchText",
|
||||||
|
"description": "Searches for a regular expression pattern within file contents. Max 100 matches.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
],
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||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Analyzing File Deletions",
|
||||||
|
"description": "I've deleted the `Gemfile` and `Gemfile.lock` successfully. Now, I'm verifying if these files were referenced anywhere, particularly in `.gitignore` or the `README.md` to ensure everything is tidy. Despite the user's specific request, I feel this extra step is beneficial.",
|
||||||
|
"timestamp": "2026-02-13T14:31:44.337Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Refining Ruby Removal Scope",
|
||||||
|
"description": "I've successfully deleted the `Gemfile` and `Gemfile.lock`. However, I'm now contemplating a broader cleanup. The initial user request was simple, yet I feel it would be best to check for other Ruby-related artifacts. I'm considering using `grep` to hunt for any \"Gemfile\" or \"ruby\" references to ensure a complete removal.",
|
||||||
|
"timestamp": "2026-02-13T14:31:45.197Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
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|
||||||
|
"input": 13244,
|
||||||
|
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|
||||||
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||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
{
|
||||||
|
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|
||||||
|
"timestamp": "2026-02-13T14:31:47.691Z",
|
||||||
|
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|
||||||
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|
||||||
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||||||
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||||||
|
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||||||
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"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": ".gitignore"
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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"response": {
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||||||
|
"output": ".venv\n*csv\n*txt\n!requirements.txt\n__pycache__\n.env\n!.env.example\n*json\n"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
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|
||||||
|
"timestamp": "2026-02-13T14:31:47.691Z",
|
||||||
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"resultDisplay": "",
|
||||||
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"displayName": "ReadFile",
|
||||||
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|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Confirming the Changes",
|
||||||
|
"description": "The cleanup is done. I've double-checked the `.gitignore` file, and everything appears to be in order. Ready to move forward.",
|
||||||
|
"timestamp": "2026-02-13T14:31:47.456Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
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|
||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
|
{
|
||||||
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"id": "b03f09bf-76ec-4137-a17e-63973abee504",
|
||||||
|
"timestamp": "2026-02-13T14:31:49.956Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "The `Gemfile` and `Gemfile.lock` have been removed.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Reviewing `.gitignore` Status",
|
||||||
|
"description": "I've just reviewed the `.gitignore` file and it seems to be in good shape. It appears to be free of Ruby-specific entries, save for some of the more general items. The task is complete.",
|
||||||
|
"timestamp": "2026-02-13T14:31:49.928Z"
|
||||||
|
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|
||||||
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||||||
|
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||||||
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||||||
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|
||||||
|
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|
||||||
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|
||||||
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||||||
|
"total": 13350
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "33a48ae6-fad6-4996-b09b-cad8f02ec959",
|
||||||
|
"timestamp": "2026-02-13T14:32:02.916Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "commit thayt change"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "2f892fe1-a290-4906-a0cc-3c7044888300",
|
||||||
|
"timestamp": "2026-02-13T14:32:09.070Z",
|
||||||
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||||||
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||||||
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||||||
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|
||||||
|
"args": {
|
||||||
|
"description": "Check git status and recent commit history.",
|
||||||
|
"command": "git status && git log -n 3"
|
||||||
|
},
|
||||||
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"result": [
|
||||||
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|
||||||
|
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||||||
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||||||
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||||||
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||||||
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|
||||||
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}
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||||||
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}
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||||||
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||||||
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],
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||||||
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"status": "success",
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||||||
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"timestamp": "2026-02-13T14:32:09.070Z",
|
||||||
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"resultDisplay": "On branch main\nYour branch is up to date with 'origin/main'.\n\nChanges not staged for commit:\n (use \"git add/rm <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n deleted: Gemfile\n deleted: Gemfile.lock\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\ncommit e5ed504207b3b9e8a40b084d2394cb2368d92dc4 (HEAD -> main, origin/main)\nAuthor: bob walker <bob@dxw.com>\nDate: Thu Feb 12 18:15:33 2026 +0000\n\n docs: update GEMINI.md with Google Sheets and testing patterns\n\ncommit a8b94a6635eeec598190fe1ed3e097a7295edb34\nAuthor: bob walker <bob@dxw.com>\nDate: Thu Feb 12 18:13:01 2026 +0000\n\n add test suite for aws_utils and script smoke tests\n\ncommit a283d031abcd6ff3d6a838bb8cba394101c3fcfe\nAuthor: bob walker <bob@dxw.com>\nDate: Thu Feb 12 18:10:37 2026 +0000\n\n docs: add Google Sheets setup and configuration details to README.md",
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|
||||||
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||||||
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}
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||||||
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||||||
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||||||
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{
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||||||
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"subject": "Reviewing Git Operations",
|
||||||
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"description": "I'm currently reviewing the steps required for this Git operation. I see the user wants to remove two files. First, I need to check the status. Then, I'll need to stage the deletion of the `Gemfile` and `Gemfile.lock` files, making sure the staging area reflects these changes accurately. Finally, I will commit the staged changes.",
|
||||||
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"timestamp": "2026-02-13T14:32:05.268Z"
|
||||||
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},
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||||||
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{
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||||||
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"subject": "Refining Commit Strategy",
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||||||
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|
||||||
|
"timestamp": "2026-02-13T14:32:06.369Z"
|
||||||
|
}
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||||||
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],
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||||||
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"model": "gemini-3-flash-preview",
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||||||
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||||||
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||||||
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||||||
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||||||
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{
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||||||
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"id": "235a2957-97af-47f7-8834-c5cdd352579b",
|
||||||
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"timestamp": "2026-02-13T14:32:20.998Z",
|
||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
|
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||||||
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||||||
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||||||
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|
||||||
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"output": "Output: On branch main\nYour branch is up to date with 'origin/main'.\n\nChanges to be committed:\n (use \"git restore --staged <file>...\" to unstage)\n deleted: Gemfile\n deleted: Gemfile.lock\n\ndiff --git a/Gemfile b/Gemfile\ndeleted file mode 100644\nindex 72884af..0000000\n--- a/Gemfile\n+++ /dev/null\n@@ -1,11 +0,0 @@\n-# frozen_string_literal: true\n-\n-source \"https://rubygems.org\"\n-\n-# gem \"rails\"\n-\n-gem \"aws-sdk-costexplorer\", \"~> 1.106\"\n-\n-gem \"nokogiri\", \"~> 1.16\"\n-\n-gem \"aws-sdk-organizations\", \"~> 1.97\"\ndiff --git a/Gemfile.lock b/Gemfile.lock\ndeleted file mode 100644\nindex 6f9ec60..0000000\n--- a/Gemfile.lock\n+++ /dev/null\n@@ -1,33 +0,0 @@\n-GEM\n- remote: https://rubygems.org/\n- specs:\n- aws-eventstream (1.3.0)\n- aws-partitions (1.971.0)\n- aws-sdk-core (3.203.0)\n- aws-eventstream (~> 1, >= 1.3.0)\n- aws-partitions (~> 1, >= 1.651.0)\n- aws-sigv4 (~> 1.9)\n- jmespath (~> 1, >= 1.6.1)\n- aws-sdk-costexplorer (1.106.0)\n- aws-sdk-core (~> 3, >= 3.203.0)\n- aws-sigv4 (~> 1.5)\n- aws-sdk-organizations (1.97.0)\n- aws-sdk-core (~> 3, >= 3.203.0)\n- aws-sigv4 (~> 1.5)\n- aws-sigv4 (1.9.1)\n- aws-eventstream (~> 1, >= 1.0.2)\n- jmespath (1.6.2)\n- nokogiri (1.16.7-arm64-darwin)\n- racc (~> 1.4)\n- racc (1.8.1)\n-\n-PLATFORMS\n- arm64-darwin-22\n-\n-DEPENDENCIES\n- aws-sdk-costexplorer (~> 1.106)\n- aws-sdk-organizations (~> 1.97)\n- nokogiri (~> 1.16)\n-\n-BUNDLED WITH\n- 2.4.1\nProcess Group PGID: 26110"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
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|
||||||
|
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|
||||||
|
"resultDisplay": "On branch main\nYour branch is up to date with 'origin/main'.\n\nChanges to be committed:\n (use \"git restore --staged <file>...\" to unstage)\n deleted: Gemfile\n deleted: Gemfile.lock\n\ndiff --git a/Gemfile b/Gemfile\ndeleted file mode 100644\nindex 72884af..0000000\n--- a/Gemfile\n+++ /dev/null\n@@ -1,11 +0,0 @@\n-# frozen_string_literal: true\n-\n-source \"https://rubygems.org\"\n-\n-# gem \"rails\"\n-\n-gem \"aws-sdk-costexplorer\", \"~> 1.106\"\n-\n-gem \"nokogiri\", \"~> 1.16\"\n-\n-gem \"aws-sdk-organizations\", \"~> 1.97\"\ndiff --git a/Gemfile.lock b/Gemfile.lock\ndeleted file mode 100644\nindex 6f9ec60..0000000\n--- a/Gemfile.lock\n+++ /dev/null\n@@ -1,33 +0,0 @@\n-GEM\n- remote: https://rubygems.org/\n- specs:\n- aws-eventstream (1.3.0)\n- aws-partitions (1.971.0)\n- aws-sdk-core (3.203.0)\n- aws-eventstream (~> 1, >= 1.3.0)\n- aws-partitions (~> 1, >= 1.651.0)\n- aws-sigv4 (~> 1.9)\n- jmespath (~> 1, >= 1.6.1)\n- aws-sdk-costexplorer (1.106.0)\n- aws-sdk-core (~> 3, >= 3.203.0)\n- aws-sigv4 (~> 1.5)\n- aws-sdk-organizations (1.97.0)\n- aws-sdk-core (~> 3, >= 3.203.0)\n- aws-sigv4 (~> 1.5)\n- aws-sigv4 (1.9.1)\n- aws-eventstream (~> 1, >= 1.0.2)\n- jmespath (1.6.2)\n- nokogiri (1.16.7-arm64-darwin)\n- racc (~> 1.4)\n- racc (1.8.1)\n-\n-PLATFORMS\n- arm64-darwin-22\n-\n-DEPENDENCIES\n- aws-sdk-costexplorer (~> 1.106)\n- aws-sdk-organizations (~> 1.97)\n- nokogiri (~> 1.16)\n-\n-BUNDLED WITH\n- 2.4.1",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Examining Commit Messages",
|
||||||
|
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|
||||||
|
"timestamp": "2026-02-13T14:32:11.988Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Revisiting Commit Structure",
|
||||||
|
"description": "I've already applied the `type: description` approach. I am now evaluating `docs:`, and `add:` from the existing commit history. The staging is done. Next, I need to commit, and I see `cleanup:` is not yet in the mix.",
|
||||||
|
"timestamp": "2026-02-13T14:32:12.816Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
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|
||||||
|
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|
||||||
|
"input": 13760,
|
||||||
|
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|
||||||
|
"cached": 9856,
|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "ae10c165-aa49-4c9a-9e64-f1a4320d3642",
|
||||||
|
"timestamp": "2026-02-13T14:32:29.304Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "",
|
||||||
|
"toolCalls": [
|
||||||
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{
|
||||||
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|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"description": "Commit the removal of Ruby files and check the status.",
|
||||||
|
"command": "git commit -m \"cleanup: remove unused Ruby Gemfile and Gemfile.lock\" && git status"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
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|
||||||
|
"name": "run_shell_command",
|
||||||
|
"response": {
|
||||||
|
"output": "Output: [main 81fd53e] cleanup: remove unused Ruby Gemfile and Gemfile.lock\n 2 files changed, 44 deletions(-)\n delete mode 100644 Gemfile\n delete mode 100644 Gemfile.lock\nOn branch main\nYour branch is ahead of 'origin/main' by 1 commit.\n (use \"git push\" to publish your local commits)\n\nnothing to commit, working tree clean\nProcess Group PGID: 26117"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:32:29.304Z",
|
||||||
|
"resultDisplay": "[main 81fd53e] cleanup: remove unused Ruby Gemfile and Gemfile.lock\n 2 files changed, 44 deletions(-)\n delete mode 100644 Gemfile\n delete mode 100644 Gemfile.lock\nOn branch main\nYour branch is ahead of 'origin/main' by 1 commit.\n (use \"git push\" to publish your local commits)\n\nnothing to commit, working tree clean",
|
||||||
|
"displayName": "Shell",
|
||||||
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|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Formulating the Commit",
|
||||||
|
"description": "I'm finalizing the commit message. The aim is a concise explanation of the changes, so I've decided on: `cleanup: remove unused Ruby Gemfile and Gemfile.lock`. This follows the pattern of my previous commit messages, focusing on clarity and conciseness.",
|
||||||
|
"timestamp": "2026-02-13T14:32:23.290Z"
|
||||||
|
},
|
||||||
|
{
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"output": "# AWS Organization Audit Scripts\n\nA collection of Python scripts designed to audit and report on resources, costs, and configurations across multiple AWS accounts within an Organization.\n\n## Prerequisites\n\n- **Python 3.8+**\n- **AWS CLI** configured with SSO profiles.\n- **Virtualenv** (highly recommended)\n\n## Setup\n\n1. **Clone the repository:**\n ```bash\n git clone <repository-url>\n cd aws-stuff\n ```\n\n2. **Create and activate a virtual environment:**\n ```bash\n python3 -m venv .venv\n source .venv/bin/activate\n ```\n\n3. **Install dependencies:**\n ```bash\n pip install -r requirements.txt\n ```\n\n4. **Configure your environment:**\n Copy the example environment file and fill in your details:\n ```bash\n cp .env.example .env\n ```\n Edit `.env`:\n - `AWS_PARENT_PROFILE`: The SSO profile used to access the Organizations and Pricing APIs (e.g., your master account profile).\n - `OU_IDS`: Comma-separated list of Organizational Unit IDs to scan.\n - `SKIP_ACCOUNTS`: Comma-separated list of Account IDs to exclude from scans.\n - `GOOGLE_CLIENT_SECRET_FILE`: (Optional) Path to your Google API client secret JSON file. Defaults to `client_secret.json`.\n - `GOOGLE_AUTHORIZED_USER_FILE`: (Optional) Path where the Google auth token will be stored. Defaults to `authorized_user.json`.\n\n## Google Sheets Integration\n\nSeveral scripts automatically export their output to Google Sheets in addition to local CSV files.\n\n### Setup\n1. Create a project in the [Google Cloud Console](https://console.cloud.google.com/).\n2. Enable the **Google Sheets API** and **Google Drive API**.\n3. Create **OAuth 2.0 Client ID** credentials (Desktop app).\n4. Download the JSON file and save it as `client_secret.json` in the project root (or set `GOOGLE_CLIENT_SECRET_FILE`).\n5. On the first run, a browser window will open for authentication. The resulting token is saved to `authorized_user.json`.\n\nIf these files are missing, the scripts will skip the Google Sheets export and only produce CSVs.\n\n## Script Overview\n\nThe project uses a shared `aws_utils.py` module to handle SSO login, date ranges, and account iteration.\n\n### Cost & Billing\n- `aws_bills.py`: Comparison of Amortized and Unblended costs over the last 3 months.\n- `aws_cost.py`: Detailed EC2 cost report including compute savings.\n- `bwsuage.py`: Monthly bandwidth usage report with overage alerts (>100GB).\n- `storage-usage.py`: Monthly storage report (S3, EBS, RDS, EFS).\n- `generate-billing-sheets.py`: Generates detailed Google Sheets reports (requires Google API credentials).\n- `summarize-ecsv.py`: Parses exported AWS billing CSV files for local analysis.\n\n### Resource Inventory\n- `aws-vpc.py`: Lists VPCs and CIDR blocks across all accounts/regions.\n- `aws-ips.py`: Lists public IPs, EIPs, and internet-facing Load Balancer DNS names.\n- `list_rds_instances.py`: Lists all RDS instances and clusters.\n- `cloudfront.py`: Lists CloudFront distributions and their status.\n- `aws-asg-lt-ami.py`: Audits Auto Scaling Groups, Launch Templates, and associated AMIs.\n- `aws-ec2-ami.py`: Inventories running EC2 instances and their AMI IDs.\n\n### Pricing\n- `ec2_price.py`: Fetches current on-demand pricing for T3 instance families in London.\n- `rds_price.py`: Fetches current on-demand pricing for RDS MySQL/PostgreSQL in London.\n\n## Usage\n\nMost scripts run autonomously once your `.env` is configured:\n```bash\npython <script_name>.py\n```\nIf your AWS SSO session has expired, the scripts will automatically attempt to trigger `aws sso login` using your defined parent profile.\n\n## Contributing\n\nWhen adding new scripts, leverage `aws_utils.py` for:\n- `setup_org_accounts_session()`: Iterates through accounts in your OUs.\n- `ensure_sso_login()`: Handles session validation.\n- `get_previous_month_range()`: Standardizes billing periods.\n"
|
||||||
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||||||
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||||||
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||||||
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"output": "# Gemini CLI Project Context - AWS Organization Audit Scripts\n\n## Project Overview\nThis repository contains a collection of Python scripts for auditing AWS Organizations. It handles multi-account discovery, SSO authentication, and generates reports on costs, bandwidth, and resource inventory.\n\n## Core Guidelines\n\n- **Shared Logic:** All AWS interaction MUST go through `aws_utils.py`. Never initialize `boto3.client` directly without first ensuring a session via `aws_utils`.\n- **Authentication:** Use `ensure_sso_login()` to handle AWS SSO sessions. This triggers `aws sso login` via the CLI if the session is expired.\n- **Session Management:** \n - Use `get_boto_session()` for parent/management account tasks (Organizations, Pricing API).\n - Use `setup_org_accounts_session()` to iterate through accounts in specific OUs or the entire organization. This handles profile switching for multi-account scans and unsets conflicting IAM env vars.\n- **Configuration:** \n - Honor environment variables: `AWS_PARENT_PROFILE`, `OU_IDS`, `SKIP_ACCOUNTS`, `GOOGLE_CLIENT_SECRET_FILE`, and `GOOGLE_AUTHORIZED_USER_FILE`.\n - Support `.env` files via `python-dotenv` (handled in `aws_utils.py`).\n- **Reporting:** \n - For large datasets, prefer CSV output using the `csv` module.\n - **Google Sheets:** Use `export_to_sheets(title, headers, rows)` from `aws_utils.py` to automatically export CSV data to Google Sheets.\n - For console summaries, use formatted tables with `print` or `pandas`.\n\n## Key Patterns\n\n### Account Iteration\nAlways use the generator pattern for cross-account audits:\n```python\nfrom aws_utils import setup_org_accounts_session\nfor account, profile_name in setup_org_accounts_session():\n boto3.setup_default_session(profile_name=profile_name)\n # ... account-specific logic ...\n```\n\n### Date Handling\nStandardize billing periods using `aws_utils.py` helpers:\n- `get_previous_month_range()`: Returns `(start, end)` for the last full month.\n- `get_last_n_months_ranges(n)`: Returns list of ranges for historical analysis.\n\n### Testing\n- Place tests in the `tests/` directory.\n- Use `unittest` and `unittest.mock`.\n- **Mocks:** Always mock `aws_utils.get_boto_session` and AWS clients to ensure tests run without credentials or network access.\n\n## Tooling & Dependencies\n- **Primary:** `boto3`, `pandas`, `python-dotenv`.\n- **Secondary:** `gspread`, `google-auth-oauthlib` (for Google Sheets reports).\n- **Environment:** Always execute within the project's virtual environment (`.venv`).\n\n## Security & Privacy\n- **Identifiers:** Never hardcode Account IDs, OU IDs, or Profile Names. Use the configuration patterns in `aws_utils`.\n- **Sanitization:** When creating examples or documentation, use generic placeholders like `ou-1234-abcd5678` or `123456789012`.\n- **Environment:** Do not commit `.env` files or Google authentication JSON files (`client_secret.json`, `authorized_user.json`).\n"
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||||||
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||||||
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||||||
|
"originalContent": "# AWS Organization Audit Scripts\n\nA collection of Python scripts designed to audit and report on resources, costs, and configurations across multiple AWS accounts within an Organization.\n\n## Prerequisites\n\n- **Python 3.8+**\n- **AWS CLI** configured with SSO profiles.\n- **Virtualenv** (highly recommended)\n\n## Setup\n\n1. **Clone the repository:**\n ```bash\n git clone <repository-url>\n cd aws-stuff\n ```\n\n2. **Create and activate a virtual environment:**\n ```bash\n python3 -m venv .venv\n source .venv/bin/activate\n ```\n\n3. **Install dependencies:**\n ```bash\n pip install -r requirements.txt\n ```\n\n4. **Configure your environment:**\n Copy the example environment file and fill in your details:\n ```bash\n cp .env.example .env\n ```\n Edit `.env`:\n - `AWS_PARENT_PROFILE`: The SSO profile used to access the Organizations and Pricing APIs (e.g., your master account profile).\n - `OU_IDS`: Comma-separated list of Organizational Unit IDs to scan.\n - `SKIP_ACCOUNTS`: Comma-separated list of Account IDs to exclude from scans.\n - `GOOGLE_CLIENT_SECRET_FILE`: (Optional) Path to your Google API client secret JSON file. Defaults to `client_secret.json`.\n - `GOOGLE_AUTHORIZED_USER_FILE`: (Optional) Path where the Google auth token will be stored. Defaults to `authorized_user.json`.\n\n## Google Sheets Integration\n\nSeveral scripts automatically export their output to Google Sheets in addition to local CSV files.\n\n### Setup\n1. Create a project in the [Google Cloud Console](https://console.cloud.google.com/).\n2. Enable the **Google Sheets API** and **Google Drive API**.\n3. Create **OAuth 2.0 Client ID** credentials (Desktop app).\n4. Download the JSON file and save it as `client_secret.json` in the project root (or set `GOOGLE_CLIENT_SECRET_FILE`).\n5. On the first run, a browser window will open for authentication. The resulting token is saved to `authorized_user.json`.\n\nIf these files are missing, the scripts will skip the Google Sheets export and only produce CSVs.\n\n## Script Overview\n\nThe project uses a shared `aws_utils.py` module to handle SSO login, date ranges, and account iteration.\n\n### Cost & Billing\n- `aws_bills.py`: Comparison of Amortized and Unblended costs over the last 3 months.\n- `aws_cost.py`: Detailed EC2 cost report including compute savings.\n- `bwsuage.py`: Monthly bandwidth usage report with overage alerts (>100GB).\n- `storage-usage.py`: Monthly storage report (S3, EBS, RDS, EFS).\n- `generate-billing-sheets.py`: Generates detailed Google Sheets reports (requires Google API credentials).\n- `summarize-ecsv.py`: Parses exported AWS billing CSV files for local analysis.\n\n### Resource Inventory\n- `aws-vpc.py`: Lists VPCs and CIDR blocks across all accounts/regions.\n- `aws-ips.py`: Lists public IPs, EIPs, and internet-facing Load Balancer DNS names.\n- `list_rds_instances.py`: Lists all RDS instances and clusters.\n- `cloudfront.py`: Lists CloudFront distributions and their status.\n- `aws-asg-lt-ami.py`: Audits Auto Scaling Groups, Launch Templates, and associated AMIs.\n- `aws-ec2-ami.py`: Inventories running EC2 instances and their AMI IDs.\n\n### Pricing\n- `ec2_price.py`: Fetches current on-demand pricing for T3 instance families in London.\n- `rds_price.py`: Fetches current on-demand pricing for RDS MySQL/PostgreSQL in London.\n\n## Usage\n\nMost scripts run autonomously once your `.env` is configured:\n```bash\npython <script_name>.py\n```\nIf your AWS SSO session has expired, the scripts will automatically attempt to trigger `aws sso login` using your defined parent profile.\n\n## Contributing\n\nWhen adding new scripts, leverage `aws_utils.py` for:\n- `setup_org_accounts_session()`: Iterates through accounts in your OUs.\n- `ensure_sso_login()`: Handles session validation.\n- `get_previous_month_range()`: Standardizes billing periods.\n",
|
||||||
|
"newContent": "# AWS Organization Audit Scripts\n\nA collection of Python scripts designed to audit and report on resources, costs, and configurations across multiple AWS accounts within an Organization.\n\n## Prerequisites\n\n- **Python 3.8+**\n- **AWS CLI** configured with SSO profiles.\n- **Virtualenv** (highly recommended)\n\n## Setup\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/dxw/aws-utils\n cd aws-utils\n ```\n\n2. **Create and activate a virtual environment:**\n ```bash\n python3 -m venv .venv\n source .venv/bin/activate\n ```\n\n3. **Install dependencies:**\n ```bash\n pip install -r requirements.txt\n ```\n\n4. **Configure your environment:**\n Copy the example environment file and fill in your details:\n ```bash\n cp .env.example .env\n ```\n Edit `.env`:\n - `AWS_PARENT_PROFILE`: The SSO profile used to access the Organizations and Pricing APIs (e.g., your master account profile).\n - `OU_IDS`: Comma-separated list of Organizational Unit IDs to scan.\n - `SKIP_ACCOUNTS`: Comma-separated list of Account IDs to exclude from scans.\n - `GOOGLE_CLIENT_SECRET_FILE`: (Optional) Path to your Google API client secret JSON file. Defaults to `client_secret.json`.\n - `GOOGLE_AUTHORIZED_USER_FILE`: (Optional) Path where the Google auth token will be stored. Defaults to `authorized_user.json`.\n\n## Google Sheets Integration\n\nSeveral scripts automatically export their output to Google Sheets in addition to local CSV files.\n\n### Setup\n1. Create a project in the [Google Cloud Console](https://console.cloud.google.com/).\n2. Enable the **Google Sheets API** and **Google Drive API**.\n3. Create **OAuth 2.0 Client ID** credentials (Desktop app).\n4. Download the JSON file and save it as `client_secret.json` in the project root (or set `GOOGLE_CLIENT_SECRET_FILE`).\n5. On the first run, a browser window will open for authentication. The resulting token is saved to `authorized_user.json`.\n\nIf these files are missing, the scripts will skip the Google Sheets export and only produce CSVs.\n\n## Script Overview\n\nThe project uses a shared `aws_utils.py` module to handle SSO login, date ranges, and account iteration.\n\n### Cost & Billing\n- `aws_bills.py`: Comparison of Amortized and Unblended costs over the last 3 months.\n- `aws_cost.py`: Detailed EC2 cost report including compute savings.\n- `bwsuage.py`: Monthly bandwidth usage report with overage alerts (>100GB).\n- `storage-usage.py`: Monthly storage report (S3, EBS, RDS, EFS).\n- `generate-billing-sheets.py`: Generates detailed Google Sheets reports (requires Google API credentials).\n- `summarize-ecsv.py`: Parses exported AWS billing CSV files for local analysis.\n\n### Resource Inventory\n- `aws-vpc.py`: Lists VPCs and CIDR blocks across all accounts/regions.\n- `aws-ips.py`: Lists public IPs, EIPs, and internet-facing Load Balancer DNS names.\n- `list_rds_instances.py`: Lists all RDS instances and clusters.\n- `cloudfront.py`: Lists CloudFront distributions and their status.\n- `aws-asg-lt-ami.py`: Audits Auto Scaling Groups, Launch Templates, and associated AMIs.\n- `aws-ec2-ami.py`: Inventories running EC2 instances and their AMI IDs.\n\n### Pricing\n- `ec2_price.py`: Fetches current on-demand pricing for T3 instance families in London.\n- `rds_price.py`: Fetches current on-demand pricing for RDS MySQL/PostgreSQL in London.\n\n## Usage\n\nMost scripts run autonomously once your `.env` is configured:\n```bash\npython <script_name>.py\n```\nIf your AWS SSO session has expired, the scripts will automatically attempt to trigger `aws sso login` using your defined parent profile.\n\n## Contributing\n\nWhen adding new scripts, leverage `aws_utils.py` for:\n- `setup_org_accounts_session()`: Iterates through accounts in your OUs.\n- `ensure_sso_login()`: Handles session validation.\n- `get_previous_month_range()`: Standardizes billing periods.\n",
|
||||||
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||||||
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||||||
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"isNewFile": false
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||||||
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},
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||||||
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"displayName": "Edit",
|
||||||
|
"description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n \n The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n \n Expectation for required parameters:\n 1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n 2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n 3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n 4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n 5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Finding Missing Links",
|
||||||
|
"description": "I've checked `GEMINI.md` and am still not seeing the old name or URL I need. My next step is to replace those missing pieces in `README.md`. Hopefully, the correct information is available there.",
|
||||||
|
"timestamp": "2026-02-13T14:33:36.916Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
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||||||
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||||||
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|
||||||
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},
|
||||||
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{
|
||||||
|
"id": "8aedf18a-a6fb-4f88-9e76-53e8e4f0e9f0",
|
||||||
|
"timestamp": "2026-02-13T14:33:50.841Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file-1770993230824-5fc9a80aae261",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": ".env.example"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
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{
|
||||||
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"functionResponse": {
|
||||||
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"id": "read_file-1770993230824-5fc9a80aae261",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "# Parent AWS profile for Organizations and SSO login\n# AWS_PARENT_PROFILE=my-parent-profile\n\n# AWS Organization Unit IDs to scan (comma-separated)\n# OU_IDS=ou-1234-abcd5678,ou-9012-efgh3456\n\n# AWS Account IDs to skip (comma-separated)\n# SKIP_ACCOUNTS=123456789012,987654321098\n\n# Google Sheets API configuration\n# GOOGLE_CLIENT_SECRET_FILE=client_secret.json\n# GOOGLE_AUTHORIZED_USER_FILE=authorized_user.json\n"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:33:50.840Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Considering the Example File",
|
||||||
|
"description": "I'm now shifting my focus to the `.env.example` file. I need to make sure I don't overlook any crucial settings or configurations that might be presented there. My goal is a comprehensive understanding of all relevant parameters.",
|
||||||
|
"timestamp": "2026-02-13T14:33:50.605Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"tokens": {
|
||||||
|
"input": 16759,
|
||||||
|
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|
||||||
|
"cached": 13449,
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||||||
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"thoughts": 14,
|
||||||
|
"tool": 0,
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||||||
|
"total": 16787
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||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "fdb714aa-8083-4d42-ad9d-89b0784a5b6d",
|
||||||
|
"timestamp": "2026-02-13T14:33:53.504Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "grep_search-1770993233471-194584db0d313",
|
||||||
|
"name": "grep_search",
|
||||||
|
"args": {
|
||||||
|
"pattern": "aws-stuff|github"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "grep_search-1770993233471-194584db0d313",
|
||||||
|
"name": "grep_search",
|
||||||
|
"response": {
|
||||||
|
"output": "Found 1 match for pattern \"aws-stuff|github\" in path \".\":\n---\nFile: README.md\nL15: git clone https://github.com/dxw/aws-utils\n---"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:33:53.504Z",
|
||||||
|
"resultDisplay": "Found 1 match",
|
||||||
|
"displayName": "SearchText",
|
||||||
|
"description": "Searches for a regular expression pattern within file contents. Max 100 matches.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Examining Potential Leaks",
|
||||||
|
"description": "I'm now digging into `aws_utils.py`, meticulously searching for any embedded secrets or hardcoded project identifiers that could be exploited. My focus is on anything related to the project's name or its GitHub repository, to minimize risks associated with these items.",
|
||||||
|
"timestamp": "2026-02-13T14:33:53.245Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
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|
||||||
|
"input": 16923,
|
||||||
|
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|
||||||
|
"cached": 13443,
|
||||||
|
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|
||||||
|
"tool": 0,
|
||||||
|
"total": 16963
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "b16629a0-4f29-4f9a-b767-b43fba26772a",
|
||||||
|
"timestamp": "2026-02-13T14:33:56.557Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "grep_search-1770993236533-234497502f2288",
|
||||||
|
"name": "grep_search",
|
||||||
|
"args": {
|
||||||
|
"pattern": "aws-stuff"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "grep_search-1770993236533-234497502f2288",
|
||||||
|
"name": "grep_search",
|
||||||
|
"response": {
|
||||||
|
"output": "No matches found for pattern \"aws-stuff\" in path \".\"."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:33:56.557Z",
|
||||||
|
"resultDisplay": "No matches found",
|
||||||
|
"displayName": "SearchText",
|
||||||
|
"description": "Searches for a regular expression pattern within file contents. Max 100 matches.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Checking Documentation Updates",
|
||||||
|
"description": "I've finished updating `README.md` and am now conducting a thorough review of all relevant files. My current focus is ensuring consistent terminology, specifically looking for instances of \"dxw\" and \"aws-utils\". I'm also including `test.py` and the `tests/` directory in this final check for completeness.",
|
||||||
|
"timestamp": "2026-02-13T14:33:56.373Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
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|
||||||
|
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|
||||||
|
"output": 11,
|
||||||
|
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||||||
|
"thoughts": 66,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 17059
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "2b691478-9767-4e07-ade1-12c1af22d55b",
|
||||||
|
"timestamp": "2026-02-13T14:33:59.317Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file-1770993239300-94856bd9b0e6c8",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "README.md",
|
||||||
|
"limit": 20
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file-1770993239300-94856bd9b0e6c8",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "\nIMPORTANT: The file content has been truncated.\nStatus: Showing lines 1-20 of 93 total lines.\nAction: To read more of the file, you can use the 'offset' and 'limit' parameters in a subsequent 'read_file' call. For example, to read the next section of the file, use offset: 20.\n\n--- FILE CONTENT (truncated) ---\n# AWS Organization Audit Scripts\n\nA collection of Python scripts designed to audit and report on resources, costs, and configurations across multiple AWS accounts within an Organization.\n\n## Prerequisites\n\n- **Python 3.8+**\n- **AWS CLI** configured with SSO profiles.\n- **Virtualenv** (highly recommended)\n\n## Setup\n\n1. **Clone the repository:**\n ```bash\n git clone https://github.com/dxw/aws-utils\n cd aws-utils\n ```\n\n2. **Create and activate a virtual environment:**\n ```bash"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:33:59.316Z",
|
||||||
|
"resultDisplay": "Read lines 1-20 of 93 from README.md",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Revising Project Documentation",
|
||||||
|
"description": "I've just stopped using the term \"aws-stuff.\" Next, I'm going to proofread the URL listed in the `README.md` file again, to ensure its accuracy.",
|
||||||
|
"timestamp": "2026-02-13T14:33:59.137Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"tokens": {
|
||||||
|
"input": 17007,
|
||||||
|
"output": 15,
|
||||||
|
"cached": 13357,
|
||||||
|
"thoughts": 24,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 17046
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "6947a372-ee53-4dd1-aca9-f6a1e1139a65",
|
||||||
|
"timestamp": "2026-02-13T14:34:07.527Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "run_shell_command-1770993242080-9a7824897e065",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"command": "git status && git diff README.md",
|
||||||
|
"description": "Check git status and diff for README.md."
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "run_shell_command-1770993242080-9a7824897e065",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"response": {
|
||||||
|
"output": "Output: On branch main\nYour branch is ahead of 'origin/main' by 1 commit.\n (use \"git push\" to publish your local commits)\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n modified: README.md\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\ndiff --git a/README.md b/README.md\nindex 40c30c7..ac7bb4a 100644\n--- a/README.md\n+++ b/README.md\n@@ -12,8 +12,8 @@ A collection of Python scripts designed to audit and report on resources, costs,\n \n 1. **Clone the repository:**\n ```bash\n- git clone <repository-url>\n- cd aws-stuff\n+ git clone https://github.com/dxw/aws-utils\n+ cd aws-utils\n ```\n \n 2. **Create and activate a virtual environment:**\nProcess Group PGID: 26342"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:34:07.527Z",
|
||||||
|
"resultDisplay": "On branch main\nYour branch is ahead of 'origin/main' by 1 commit.\n (use \"git push\" to publish your local commits)\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n modified: README.md\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\ndiff --git a/README.md b/README.md\nindex 40c30c7..ac7bb4a 100644\n--- a/README.md\n+++ b/README.md\n@@ -12,8 +12,8 @@ A collection of Python scripts designed to audit and report on resources, costs,\n \n 1. **Clone the repository:**\n ```bash\n- git clone <repository-url>\n- cd aws-stuff\n+ git clone https://github.com/dxw/aws-utils\n+ cd aws-utils\n ```\n \n 2. **Create and activate a virtual environment:**",
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. To run a command in the background, set the `is_background` parameter to true. Do NOT use `&` to background commands. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n The following information is returned:\n\n Output: Combined stdout/stderr. Can be `(empty)` or partial on error and for any unwaited background processes.\n Exit Code: Only included if non-zero (command failed).\n Error: Only included if a process-level error occurred (e.g., spawn failure).\n Signal: Only included if process was terminated by a signal.\n Background PIDs: Only included if background processes were started.\n Process Group PGID: Only included if available.",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Reviewing the Commit",
|
||||||
|
"description": "I've just reviewed the changes. All looks good, and I'm ready to commit this update.",
|
||||||
|
"timestamp": "2026-02-13T14:34:01.901Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"tokens": {
|
||||||
|
"input": 17229,
|
||||||
|
"output": 29,
|
||||||
|
"cached": 16691,
|
||||||
|
"thoughts": 10,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 17268
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "17a19409-7422-4855-ae63-bb0a700a6822",
|
||||||
|
"timestamp": "2026-02-13T14:34:17.348Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "run_shell_command-1770993249832-23c2017484231",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"command": "git add README.md && git commit -m \"docs: update repository URL and name to dxw/aws-utils\" && git status",
|
||||||
|
"description": "Stage and commit the changes to README.md."
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "run_shell_command-1770993249832-23c2017484231",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"response": {
|
||||||
|
"output": "Output: [main e72c9d6] docs: update repository URL and name to dxw/aws-utils\n 1 file changed, 2 insertions(+), 2 deletions(-)\nOn branch main\nYour branch is ahead of 'origin/main' by 2 commits.\n (use \"git push\" to publish your local commits)\n\nnothing to commit, working tree clean\nProcess Group PGID: 26372"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-02-13T14:34:17.348Z",
|
||||||
|
"resultDisplay": "[main e72c9d6] docs: update repository URL and name to dxw/aws-utils\n 1 file changed, 2 insertions(+), 2 deletions(-)\nOn branch main\nYour branch is ahead of 'origin/main' by 2 commits.\n (use \"git push\" to publish your local commits)\n\nnothing to commit, working tree clean",
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. To run a command in the background, set the `is_background` parameter to true. Do NOT use `&` to background commands. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n The following information is returned:\n\n Output: Combined stdout/stderr. Can be `(empty)` or partial on error and for any unwaited background processes.\n Exit Code: Only included if non-zero (command failed).\n Error: Only included if a process-level error occurred (e.g., spawn failure).\n Signal: Only included if process was terminated by a signal.\n Background PIDs: Only included if background processes were started.\n Process Group PGID: Only included if available.",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Committing the Change",
|
||||||
|
"description": "I'm ready to stage and commit the changes now. It's a simple step, but essential to the process. With this done, I can proceed further.",
|
||||||
|
"timestamp": "2026-02-13T14:34:09.637Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"tokens": {
|
||||||
|
"input": 17531,
|
||||||
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"output": 50,
|
||||||
|
"cached": 16710,
|
||||||
|
"thoughts": 9,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 17590
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "aa031f8b-39cf-4426-bf7c-b837a4d6b359",
|
||||||
|
"timestamp": "2026-02-13T14:34:18.636Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "The documentation has been updated to reflect the new repository name `aws-utils` and its location in the `dxw` organization.\n\n```bash\ndocs: update repository URL and name to dxw/aws-utils\n```",
|
||||||
|
"thoughts": [],
|
||||||
|
"tokens": {
|
||||||
|
"input": 17678,
|
||||||
|
"output": 47,
|
||||||
|
"cached": 16702,
|
||||||
|
"thoughts": 0,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 17725
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "76b88760-09f4-478d-b226-1cacaac7aacf",
|
||||||
|
"timestamp": "2026-02-13T14:44:09.252Z",
|
||||||
|
"type": "error",
|
||||||
|
"content": "Unknown command: /save"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "0ba303de-7c14-442f-8cc6-e4f9a1aafa07",
|
||||||
|
"timestamp": "2026-02-13T14:44:37.626Z",
|
||||||
|
"type": "info",
|
||||||
|
"content": "Conversation shared to /tmp/today.md"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"summary": "Update repo name and docs to dxw/aws-utils"
|
||||||
|
}
|
||||||
@@ -0,0 +1,46 @@
|
|||||||
|
{
|
||||||
|
"sessionId": "f16c4556-b003-4aa4-b7ea-d521966b2ce8",
|
||||||
|
"projectHash": "c4ece9c032ac20d038bbd73e9aa5f86cb3fd24c826b8e99b6edcd77db288fcb1",
|
||||||
|
"startTime": "2026-02-16T12:12:16.597Z",
|
||||||
|
"lastUpdated": "2026-02-16T12:12:47.191Z",
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"id": "dd5dfbfc-f6b2-4d98-a4b4-c1004325f2f0",
|
||||||
|
"timestamp": "2026-02-16T12:12:16.597Z",
|
||||||
|
"type": "error",
|
||||||
|
"content": "Error during discovery for MCP server 'terraform': MCP error -32000: Connection closed"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "20e9952e-288e-4f93-b732-ec27f6eef0a2",
|
||||||
|
"timestamp": "2026-02-16T12:12:45.315Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": ":wq"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "ddfbcf14-baac-4123-9a7a-98a7d666f5f3",
|
||||||
|
"timestamp": "2026-02-16T12:12:47.191Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I'm ready. What's our first task?",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Understanding the Project Brief",
|
||||||
|
"description": "I've got the project structure, core guidelines, and security principles all mapped out. Now, I'm just waiting on the first command. Seems like a simple start, ready to get this underway.",
|
||||||
|
"timestamp": "2026-02-16T12:12:47.138Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 12944,
|
||||||
|
"output": 12,
|
||||||
|
"cached": 3302,
|
||||||
|
"thoughts": 43,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 12999
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
File diff suppressed because it is too large.
Load diff
File diff suppressed because it is too large.
Load diff
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Load diff
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Load diff
@@ -0,0 +1,200 @@
|
|||||||
|
{
|
||||||
|
"sessionId": "e8dc2ec8-7338-4047-af97-c484a89a8b5b",
|
||||||
|
"projectHash": "c4ece9c032ac20d038bbd73e9aa5f86cb3fd24c826b8e99b6edcd77db288fcb1",
|
||||||
|
"startTime": "2026-03-03T11:38:34.723Z",
|
||||||
|
"lastUpdated": "2026-03-03T11:39:14.458Z",
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"id": "d2c2da6d-6c3a-4b82-82fc-11b6c94148d4",
|
||||||
|
"timestamp": "2026-03-03T11:38:34.723Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "make @bwsuage.py create a google sheet"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\n--- Content from referenced files ---"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\nContent from @bwsuage.py:\n"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "import boto3\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session\n\ndef get_total_bandwidth_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n if not all_accounts:\n return\n\n start_date, end_date = get_previous_month_range()\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Full Bandwidth Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(account_totals.items(), key=lambda x: (x[1], all_accounts.get(x[0], x[0])), reverse=True)\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_usage:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_total_bandwidth_report(100.0)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\n--- End of content ---"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"displayContent": [
|
||||||
|
{
|
||||||
|
"text": "make @bwsuage.py create a google sheet"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "a773a08a-0932-4108-9997-3e748ce1fd09",
|
||||||
|
"timestamp": "2026-03-03T11:38:37.814Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will read `aws_utils.py` to confirm the `export_to_sheets` function's signature and implementation.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Exploring Implementation Options",
|
||||||
|
"description": "I'm currently evaluating how to best integrate the `export_to_sheets` function from `aws_utils.py` into `bwusage.py`. The goal is a seamless export of the bandwidth usage data. My plan is to call the `export_to_sheets` function with appropriate title, headers and data rows.",
|
||||||
|
"timestamp": "2026-03-03T11:38:36.773Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Confirming Utility Function Details",
|
||||||
|
"description": "I just finished reviewing `aws_utils.py` to confirm the function signature for `export_to_sheets`. Now I'll proceed by working out how to best integrate the function call within `bwusage.py`. I'll first structure the data into the correct format. Then, I'll figure out where the `export_to_sheets` call should be placed to ensure the export happens after data generation.",
|
||||||
|
"timestamp": "2026-03-03T11:38:37.722Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 16382,
|
||||||
|
"output": 42,
|
||||||
|
"cached": 3254,
|
||||||
|
"thoughts": 178,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 16602
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file_1772537917813_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "aws_utils.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file_1772537917813_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "import boto3\nimport json\nimport os\nimport subprocess\nimport time\nfrom datetime import datetime, date\nfrom dateutil.relativedelta import relativedelta\n\n# Attempt to load .env file if python-dotenv is installed\ntry:\n from dotenv import load_dotenv\n load_dotenv()\nexcept ImportError:\n pass\n\n# --- GOOGLE SHEETS CONFIG ---\ndef get_google_client_secret_file():\n return os.getenv('GOOGLE_CLIENT_SECRET_FILE', 'client_secret.json')\n\ndef get_google_authorized_user_file():\n return os.getenv('GOOGLE_AUTHORIZED_USER_FILE', 'authorized_user.json')\n\nSCOPES = [\n 'https://www.googleapis.com/auth/spreadsheets',\n 'https://www.googleapis.com/auth/drive'\n]\n\ndef get_google_auth():\n \"\"\"Authenticates with Google Sheets API.\"\"\"\n import gspread\n from google_auth_oauthlib.flow import InstalledAppFlow\n from google.auth.transport.requests import Request\n from google.oauth2.credentials import Credentials\n\n creds = None\n auth_user_file = get_google_authorized_user_file()\n client_secret_file = get_google_client_secret_file()\n\n if os.path.exists(auth_user_file):\n creds = Credentials.from_authorized_user_file(auth_user_file, SCOPES)\n \n if not creds or not creds.valid:\n if creds and creds.expired and creds.refresh_token:\n creds.refresh(Request())\n else:\n if not os.path.exists(client_secret_file):\n print(f\"Warning: {client_secret_file} not found. Google Sheets export will be skipped.\")\n return None\n flow = InstalledAppFlow.from_client_secrets_file(client_secret_file, SCOPES)\n creds = flow.run_local_server(port=0)\n with open(auth_user_file, 'w') as token:\n token.write(creds.to_json())\n \n return gspread.authorize(creds)\n\ndef export_to_sheets(title, headers, rows):\n \"\"\"\n Creates a Google Sheet and populates it with headers and rows.\n Title will be appended with ISO8601 date.\n \"\"\"\n gc = get_google_auth()\n if not gc:\n return None\n\n full_title = f\"{title}_{date.today().isoformat()}\"\n print(f\"Exporting to Google Sheet: {full_title}...\")\n \n try:\n sh = gc.create(full_title)\n ws = sh.get_worksheet(0)\n ws.update_title(\"Data\")\n \n # Prepare data: headers + rows\n data = [headers] + rows\n ws.update(data)\n \n # Basic formatting\n ws.format(\"A1:Z1\", {\"textFormat\": {\"bold\": True}})\n ws.freeze(rows=1)\n \n print(f\"Successfully exported to: {sh.url}\")\n return sh.url\n except Exception as e:\n print(f\"Error exporting to Google Sheets: {e}\")\n return None\n\ndef get_boto_session():\n \"\"\"\n Returns a boto3 session for the parent profile.\n Ensures SSO login is valid and unsets conflicting env vars.\n \"\"\"\n ensure_sso_login()\n parent_profile = os.getenv('AWS_PARENT_PROFILE', 'default')\n \n # Unset env vars that would override the profile\n for var in ['AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY', 'AWS_SESSION_TOKEN']:\n if var in os.environ:\n del os.environ[var]\n \n os.environ['AWS_PROFILE'] = parent_profile\n return boto3.Session(profile_name=parent_profile)\n\ndef ensure_sso_login():\n \"\"\"\n Checks if the current session has valid credentials.\n If not, attempts to run 'aws sso login'.\n Uses AWS_PARENT_PROFILE from env or defaults to 'default'.\n \"\"\"\n parent_profile = os.getenv('AWS_PARENT_PROFILE', 'default')\n \n # We create a temporary session to check credentials\n session = boto3.Session(profile_name=parent_profile)\n \n try:\n # Check if we can get an identity (indicates valid session)\n sts = session.client('sts')\n sts.get_caller_identity()\n except Exception:\n print(f\"Session for profile '{parent_profile}' expired or invalid. Attempting SSO login...\")\n try:\n # We use subprocess to call the CLI for login as it handles the browser flow\n subprocess.run([\"aws\", \"sso\", \"login\", \"--profile\", parent_profile], check=True)\n print(\"SSO login successful.\")\n except subprocess.CalledProcessError:\n print(\"Error: 'aws sso login' failed. Please login manually.\")\n return False\n except Exception as e:\n print(f\"An unexpected error occurred during login: {e}\")\n return False\n \n return True\n\ndef get_skip_accounts():\n \"\"\"Returns a list of account IDs to skip from SKIP_ACCOUNTS env var.\"\"\"\n skip_str = os.getenv('SKIP_ACCOUNTS', '')\n if not skip_str:\n return []\n return [s.strip() for s in skip_str.split(',') if s.strip()]\n\ndef get_ou_ids():\n \"\"\"Returns a list of OU IDs from OU_IDS env var.\"\"\"\n ou_str = os.geteLine truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-03T11:38:37.845Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "f502099c-112b-4542-b280-80e9ae4c39b2",
|
||||||
|
"timestamp": "2026-03-03T11:38:51.910Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will modify `bwsuage.py` to import `export_to_sheets` and use it to export the bandwidth report data to a Google Sheet.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Implementing the export function",
|
||||||
|
"description": "I've verified that the `export_to_sheets` function is accessible within `aws_utils.py`. My next task is modifying `bwsu_age.py`. I plan to incorporate the import statement, compile data into a list of rows, and invoke `export_to_sheets` following the console report. The focus will be on ensuring the row data is correctly formatted.",
|
||||||
|
"timestamp": "2026-03-03T11:38:40.174Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Confirming Function Call",
|
||||||
|
"description": "I'm now integrating the `export_to_sheets` function call into `bwsu_age.py`. I've added the import statement and am structuring the data into a `rows` list. The function will be called after the console output. I am prioritizing correct data formatting, making sure that the final `rows` argument is a list of lists before passing it to `export_to_sheets`.",
|
||||||
|
"timestamp": "2026-03-03T11:38:41.680Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Refining Data Structures",
|
||||||
|
"description": "I'm making progress in `bwsu_age.py`. I've added the import for `export_to_sheets` and am working on the data preparation. The core of my effort now lies in correctly structuring the `rows` list. I'm focusing on parsing the existing console output and transforming it into the expected list of lists format for the function. I'll need to extract the account names and total bandwidth values.",
|
||||||
|
"timestamp": "2026-03-03T11:38:42.970Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Incorporating the Function Call",
|
||||||
|
"description": "I am now implementing the sheet export logic within `bwsu_age.py`. I've verified the presence of `export_to_sheets` in `aws_utils.py` and am proceeding with the import statement in `bwsu_age.py`. Next, I will populate the `rows` list by parsing the existing report and extracting the required data, focusing on matching the function's expected data format. Finally, I will call the function to export the data.",
|
||||||
|
"timestamp": "2026-03-03T11:38:44.296Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"thoughts": 891,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 21673
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "replace_1772537931909_0",
|
||||||
|
"name": "replace",
|
||||||
|
"args": {
|
||||||
|
"instruction": "Import export_to_sheets and add logic to export the bandwidth report to Google Sheets.",
|
||||||
|
"new_string": "from aws_utils import get_account_names, get_previous_month_range, get_boto_session, export_to_sheets\n\ndef get_total_bandwidth_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n if not all_accounts:\n return\n\n start_date, end_date = get_previous_month_range()\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Full Bandwidth Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(account_totals.items(), key=lambda x: (x[1], all_accounts.get(x[0], x[0])), reverse=True)\n \n headers = [\"Account Name\", \"Account ID\", \"Total GB\", \"Overage (>100GB)\"]\n rows = []\n\n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_usage:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n \n rows.append([acc_name, acc_id, round(total_usage, 2), round(overage, 2)])\n\n # Export to Google Sheets\n export_to_sheets(\"AWS_Bandwidth_Usage\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n",
|
||||||
|
"old_string": "from aws_utils import get_account_names, get_previous_month_range, get_boto_session\n\ndef get_total_bandwidth_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n if not all_accounts:\n return\n\n start_date, end_date = get_previous_month_range()\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Full Bandwidth Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(account_totals.items(), key=lambda x: (x[1], all_accounts.get(x[0], x[0])), reverse=True)\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_usage:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n",
|
||||||
|
"file_path": "/Users/bob/git/dxw/aws-stuff/bwsuage.py",
|
||||||
|
"allow_multiple": false
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
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|
||||||
|
"functionResponse": {
|
||||||
|
"id": "replace_1772537931909_0",
|
||||||
|
"name": "replace",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/bwsuage.py (1 replacements). Here is the updated code:\nimport boto3\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session, export_to_sheets\n\ndef get_total_bandwidth_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n...\n print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(account_totals.items(), key=lambda x: (x[1], all_accounts.get(x[0], x[0])), reverse=True)\n \n headers = [\"Account Name\", \"Account ID\", \"Total GB\", \"Overage (>100GB)\"]\n rows = []\n\n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_usage:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n \n rows.append([acc_name, acc_id, round(total_usage, 2), round(overage, 2)])\n\n # Export to Google Sheets\n export_to_sheets(\"AWS_Bandwidth_Usage\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_total_bandwidth_report(100.0)\n..."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-03T11:39:11.140Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: bwsuage.py\n===================================================================\n--- bwsuage.py\tCurrent\n+++ bwsuage.py\tProposed\n@@ -1,5 +1,5 @@\n import boto3\n-from aws_utils import get_account_names, get_previous_month_range, get_boto_session\n+from aws_utils import get_account_names, get_previous_month_range, get_boto_session, export_to_sheets\n \n def get_total_bandwidth_report(threshold_gb=100.0):\n session = get_boto_session()\n@@ -56,12 +56,20 @@\n \n sorted_accounts = sorted(account_totals.items(), key=lambda x: (x[1], all_accounts.get(x[0], x[0])), reverse=True)\n \n+ headers = [\"Account Name\", \"Account ID\", \"Total GB\", \"Overage (>100GB)\"]\n+ rows = []\n+\n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_usage:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n+ \n+ rows.append([acc_name, acc_id, round(total_usage, 2), round(overage, 2)])\n \n+ # Export to Google Sheets\n+ export_to_sheets(\"AWS_Bandwidth_Usage\", headers, rows)\n+\n except Exception as e:\n print(f\"Error: {e}\")\n \n",
|
||||||
|
"fileName": "bwsuage.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/bwsuage.py",
|
||||||
|
"originalContent": "import boto3\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session\n\ndef get_total_bandwidth_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n if not all_accounts:\n return\n\n start_date, end_date = get_previous_month_range()\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Full Bandwidth Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(account_totals.items(), key=lambda x: (x[1], all_accounts.get(x[0], x[0])), reverse=True)\n \n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_usage:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_total_bandwidth_report(100.0)\n",
|
||||||
|
"newContent": "import boto3\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session, export_to_sheets\n\ndef get_total_bandwidth_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n if not all_accounts:\n return\n\n start_date, end_date = get_previous_month_range()\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Full Bandwidth Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(account_totals.items(), key=lambda x: (x[1], all_accounts.get(x[0], x[0])), reverse=True)\n \n headers = [\"Account Name\", \"Account ID\", \"Total GB\", \"Overage (>100GB)\"]\n rows = []\n\n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_usage:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n \n rows.append([acc_name, acc_id, round(total_usage, 2), round(overage, 2)])\n\n # Export to Google Sheets\n export_to_sheets(\"AWS_Bandwidth_Usage\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_total_bandwidth_report(100.0)\n",
|
||||||
|
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|
||||||
|
"description": "Replaces text within a file. By default, the tool expects to find and replace exactly ONE occurrence of `old_string`. If you want to replace multiple occurrences of the exact same string, set `allow_multiple` to true. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n \n The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n \n Expectation for required parameters:\n 1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n 2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n 3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n 4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the instance(s) to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations and `allow_multiple` is not true, the tool will fail.\n 5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n **Multiple replacements:** Set `allow_multiple` to true if you want to replace ALL occurrences that match `old_string` exactly.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "3173e680-0312-41ca-893e-ac9ce4022506",
|
||||||
|
"timestamp": "2026-03-03T11:39:14.458Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have updated `bwsuage.py` to include Google Sheets export functionality using the shared `export_to_sheets` utility from `aws_utils.py`. The report will now be automatically uploaded after being printed to the console.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Reviewing Script Modifications",
|
||||||
|
"description": "I've incorporated the `export_to_sheets` function and implemented the row collection. Before finalizing, I'll confirm the syntax. A crucial next step is to assess the broader implications. It's imperative that I determine if other scripts warrant the same adjustments to fulfill user requirements comprehensively.",
|
||||||
|
"timestamp": "2026-03-03T11:39:13.534Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Verifying Syntax and Scope",
|
||||||
|
"description": "I've successfully implemented the `export_to_sheets` call and the row collection, and I've verified the syntax. I've also checked for other potential scripts that the user might want, and determined that the changes should be isolated to `@bwsuage.py`. Plus, I added the rounding to two decimal places. Time to run a check for pattern consistency.",
|
||||||
|
"timestamp": "2026-03-03T11:39:14.387Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 21265,
|
||||||
|
"output": 49,
|
||||||
|
"cached": 16344,
|
||||||
|
"thoughts": 141,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 21455
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"kind": "main"
|
||||||
|
}
|
||||||
@@ -0,0 +1,303 @@
|
|||||||
|
{
|
||||||
|
"sessionId": "60b239de-65b2-4de3-995b-96bed4d60003",
|
||||||
|
"projectHash": "c4ece9c032ac20d038bbd73e9aa5f86cb3fd24c826b8e99b6edcd77db288fcb1",
|
||||||
|
"startTime": "2026-03-03T11:41:22.308Z",
|
||||||
|
"lastUpdated": "2026-03-03T11:42:14.900Z",
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"id": "7008a600-32df-433a-ad1e-bdf982ca7dfd",
|
||||||
|
"timestamp": "2026-03-03T11:41:22.308Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "make @storage-usage.py create a google sheet"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\n--- Content from referenced files ---"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\nContent from @storage-usage.py:\n"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "import boto3\nimport calendar\nfrom datetime import datetime, timedelta\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session\n\ndef get_storage_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n start_date, end_date = get_previous_month_range()\n\n # Calculate hours in the previous month for Byte-Hour conversion\n dt_end = datetime.strptime(end_date, '%Y-%m-%d')\n last_day_prev = dt_end - timedelta(days=1)\n _, num_days = calendar.monthrange(last_day_prev.year, last_day_prev.month)\n hours_in_month = num_days * 24\n\n account_storage_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ],\n 'Filter': {\n \"Dimensions\": {\n \"Key\": \"USAGE_TYPE_GROUP\",\n \"Values\": [\n \"S3: Storage - Standard\",\n \"S3: Storage - Infinite Archive\",\n \"EC2: EBS - Optimized Storage\",\n \"RDS: Storage\",\n \"EFS: Storage - Standard\",\n \"EFS: Storage - IA\",\n \"EFS: Storage - Archive\"\n ]\n }\n }\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if unit == 'ByteHrs':\n usage_amount = (usage_amount / (1024**3)) / hours_in_month\n elif unit in ['MB-Mo', 'Megabyte-Months']:\n usage_amount /= 1024\n\n if acc_id in account_storage_totals:\n account_storage_totals[acc_id] += usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Storage Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Storage (GB)':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(account_storage_totals.items(), key=lambda x: x[1], reverse=True)\n for acc_id, total_gb in sorted_accounts:\n acc_name = all_accounts.get(acc_id, acc_id)\n overage = max(0, total_gb - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_gb:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_storage_report(100.0)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\n--- End of content ---"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"displayContent": [
|
||||||
|
{
|
||||||
|
"text": "make @storage-usage.py create a google sheet"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "4407e8f8-924d-48db-9707-f1c38cda916d",
|
||||||
|
"timestamp": "2026-03-03T11:41:25.303Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will start by examining `aws_utils.py` to confirm the signature and implementation of the `export_to_sheets` function.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Considering Google Sheets Integration",
|
||||||
|
"description": "I'm now contemplating how to integrate the Google Sheets export functionality into `storage-usage.py`. The `aws_utils.py`'s `export_to_sheets` function seems ideal. I need to figure out how to structure the data from `storage-usage.py` to fit the `export_to_sheets` function's requirements for the title, headers, and rows.",
|
||||||
|
"timestamp": "2026-03-03T11:41:24.453Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Investigating `export_to_sheets`",
|
||||||
|
"description": "I've begun examining `aws_utils.py` to understand `export_to_sheets`. I'm confirming its signature – title, headers, and rows – as I need to format my storage report data to match these inputs. I'll check its implementation for any authentication specifics or required setup.",
|
||||||
|
"timestamp": "2026-03-03T11:41:25.192Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 16536,
|
||||||
|
"output": 44,
|
||||||
|
"cached": 13042,
|
||||||
|
"thoughts": 192,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 16772
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file_1772538085302_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "aws_utils.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file_1772538085302_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "import boto3\nimport json\nimport os\nimport subprocess\nimport time\nfrom datetime import datetime, date\nfrom dateutil.relativedelta import relativedelta\n\n# Attempt to load .env file if python-dotenv is installed\ntry:\n from dotenv import load_dotenv\n load_dotenv()\nexcept ImportError:\n pass\n\n# --- GOOGLE SHEETS CONFIG ---\ndef get_google_client_secret_file():\n return os.getenv('GOOGLE_CLIENT_SECRET_FILE', 'client_secret.json')\n\ndef get_google_authorized_user_file():\n return os.getenv('GOOGLE_AUTHORIZED_USER_FILE', 'authorized_user.json')\n\nSCOPES = [\n 'https://www.googleapis.com/auth/spreadsheets',\n 'https://www.googleapis.com/auth/drive'\n]\n\ndef get_google_auth():\n \"\"\"Authenticates with Google Sheets API.\"\"\"\n import gspread\n from google_auth_oauthlib.flow import InstalledAppFlow\n from google.auth.transport.requests import Request\n from google.oauth2.credentials import Credentials\n\n creds = None\n auth_user_file = get_google_authorized_user_file()\n client_secret_file = get_google_client_secret_file()\n\n if os.path.exists(auth_user_file):\n creds = Credentials.from_authorized_user_file(auth_user_file, SCOPES)\n \n if not creds or not creds.valid:\n if creds and creds.expired and creds.refresh_token:\n creds.refresh(Request())\n else:\n if not os.path.exists(client_secret_file):\n print(f\"Warning: {client_secret_file} not found. Google Sheets export will be skipped.\")\n return None\n flow = InstalledAppFlow.from_client_secrets_file(client_secret_file, SCOPES)\n creds = flow.run_local_server(port=0)\n with open(auth_user_file, 'w') as token:\n token.write(creds.to_json())\n \n return gspread.authorize(creds)\n\ndef export_to_sheets(title, headers, rows):\n \"\"\"\n Creates a Google Sheet and populates it with headers and rows.\n Title will be appended with ISO8601 date.\n \"\"\"\n gc = get_google_auth()\n if not gc:\n return None\n\n full_title = f\"{title}_{date.today().isoformat()}\"\n print(f\"Exporting to Google Sheet: {full_title}...\")\n \n try:\n sh = gc.create(full_title)\n ws = sh.get_worksheet(0)\n ws.update_title(\"Data\")\n \n # Prepare data: headers + rows\n data = [headers] + rows\n ws.update(data)\n \n # Basic formatting\n ws.format(\"A1:Z1\", {\"textFormat\": {\"bold\": True}})\n ws.freeze(rows=1)\n \n print(f\"Successfully exported to: {sh.url}\")\n return sh.url\n except Exception as e:\n print(f\"Error exporting to Google Sheets: {e}\")\n return None\n\ndef get_boto_session():\n \"\"\"\n Returns a boto3 session for the parent profile.\n Ensures SSO login is valid and unsets conflicting env vars.\n \"\"\"\n ensure_sso_login()\n parent_profile = os.getenv('AWS_PARENT_PROFILE', 'default')\n \n # Unset env vars that would override the profile\n for var in ['AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY', 'AWS_SESSION_TOKEN']:\n if var in os.environ:\n del os.environ[var]\n \n os.environ['AWS_PROFILE'] = parent_profile\n return boto3.Session(profile_name=parent_profile)\n\ndef ensure_sso_login():\n \"\"\"\n Checks if the current session has valid credentials.\n If not, attempts to run 'aws sso login'.\n Uses AWS_PARENT_PROFILE from env or defaults to 'default'.\n \"\"\"\n parent_profile = os.getenv('AWS_PARENT_PROFILE', 'default')\n \n # We create a temporary session to check credentials\n session = boto3.Session(profile_name=parent_profile)\n \n try:\n # Check if we can get an identity (indicates valid session)\n sts = session.client('sts')\n sts.get_caller_identity()\n except Exception:\n print(f\"Session for profile '{parent_profile}' expired or invalid. Attempting SSO login...\")\n try:\n # We use subprocess to call the CLI for login as it handles the browser flow\n subprocess.run([\"aws\", \"sso\", \"login\", \"--profile\", parent_profile], check=True)\n print(\"SSO login successful.\")\n except subprocess.CalledProcessError:\n print(\"Error: 'aws sso login' failed. Please login manually.\")\n return False\n except Exception as e:\n print(f\"An unexpected error occurred during login: {e}\")\n return False\n \n return True\n\ndef get_skip_accounts():\n \"\"\"Returns a list of account IDs to skip from SKIP_ACCOUNTS env var.\"\"\"\n skip_str = os.getenv('SKIP_ACCOUNTS', '')\n if not skip_str:\n return []\n return [s.strip() for s in skip_str.split(',') if s.strip()]\n\ndef get_ou_ids():\n \"\"\"Returns a list of OU IDs from OU_IDS env var.\"\"\"\n ou_str = os.geteLine truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-03T11:41:25.330Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "e37c1d50-9806-4d5e-9e4e-9bbc5d5289bb",
|
||||||
|
"timestamp": "2026-03-03T11:41:37.850Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will now modify `storage-usage.py` to import `export_to_sheets` from `aws_utils`, store the report data in a list of rows, and call `export_to_sheets` at the end of the script.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Confirming Function Existence",
|
||||||
|
"description": "I've just confirmed the presence of the `export_to_sheets` function within `aws_utils.py`. The function's purpose is to generate a Google Sheet, complete with headers and data rows. Interestingly, it automatically incorporates an ISO8601 date into the sheet title.",
|
||||||
|
"timestamp": "2026-03-03T11:41:27.310Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Planning Sheet Integration",
|
||||||
|
"description": "I'm now outlining how to modify `storage-usage.py`. The aim is to import `export_to_sheets` and use it to format the report's output. I plan to construct the data as a list of rows, define headers, and then invoke the function. I realized I should include 'Account ID' in the sheet, so I'll review `storage-usage.py` to ensure this data is included in the output.",
|
||||||
|
"timestamp": "2026-03-03T11:41:29.171Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 19296,
|
||||||
|
"output": 1980,
|
||||||
|
"cached": 16636,
|
||||||
|
"thoughts": 307,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 21583
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "replace_1772538097847_0",
|
||||||
|
"name": "replace",
|
||||||
|
"args": {
|
||||||
|
"allow_multiple": false,
|
||||||
|
"old_string": "from aws_utils import get_account_names, get_previous_month_range, get_boto_session\n\ndef get_storage_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n start_date, end_date = get_previous_month_range()\n\n # Calculate hours in the previous month for Byte-Hour conversion\n dt_end = datetime.strptime(end_date, '%Y-%m-%d')\n last_day_prev = dt_end - timedelta(days=1)\n _, num_days = calendar.monthrange(last_day_prev.year, last_day_prev.month)\n hours_in_month = num_days * 24\n\n account_storage_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ],\n 'Filter': {\n \"Dimensions\": {\n \"Key\": \"USAGE_TYPE_GROUP\",\n \"Values\": [\n \"S3: Storage - Standard\",\n \"S3: Storage - Infinite Archive\",\n \"EC2: EBS - Optimized Storage\",\n \"RDS: Storage\",\n \"EFS: Storage - Standard\",\n \"EFS: Storage - IA\",\n \"EFS: Storage - Archive\"\n ]\n }\n }\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if unit == 'ByteHrs':\n usage_amount = (usage_amount / (1024**3)) / hours_in_month\n elif unit in ['MB-Mo', 'Megabyte-Months']:\n usage_amount /= 1024\n\n if acc_id in account_storage_totals:\n account_storage_totals[acc_id] += usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Storage Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Storage (GB)':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(account_storage_totals.items(), key=lambda x: x[1], reverse=True)\n for acc_id, total_gb in sorted_accounts:\n acc_name = all_accounts.get(acc_id, acc_id)\n overage = max(0, total_gb - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_gb:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n",
|
||||||
|
"new_string": "from aws_utils import get_account_names, get_previous_month_range, get_boto_session, export_to_sheets\n\ndef get_storage_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n start_date, end_date = get_previous_month_range()\n\n # Calculate hours in the previous month for Byte-Hour conversion\n dt_end = datetime.strptime(end_date, '%Y-%m-%d')\n last_day_prev = dt_end - timedelta(days=1)\n _, num_days = calendar.monthrange(last_day_prev.year, last_day_prev.month)\n hours_in_month = num_days * 24\n\n account_storage_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ],\n 'Filter': {\n \"Dimensions\": {\n \"Key\": \"USAGE_TYPE_GROUP\",\n \"Values\": [\n \"S3: Storage - Standard\",\n \"S3: Storage - Infinite Archive\",\n \"EC2: EBS - Optimized Storage\",\n \"RDS: Storage\",\n \"EFS: Storage - Standard\",\n \"EFS: Storage - IA\",\n \"EFS: Storage - Archive\"\n ]\n }\n }\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if unit == 'ByteHrs':\n usage_amount = (usage_amount / (1024**3)) / hours_in_month\n elif unit in ['MB-Mo', 'Megabyte-Months']:\n usage_amount /= 1024\n\n if acc_id in account_storage_totals:\n account_storage_totals[acc_id] += usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Storage Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Storage (GB)':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n rows = []\n sorted_accounts = sorted(account_storage_totals.items(), key=lambda x: x[1], reverse=True)\n for acc_id, total_gb in sorted_accounts:\n acc_name = all_accounts.get(acc_id, acc_id)\n overage = max(0, total_gb - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_gb:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n rows.append([acc_name, acc_id, round(total_gb, 2), round(overage, 2)])\n\n headers = [\"Account Name\", \"Account ID\", f\"Storage GB ({start_date})\", \"Overage (>100GB)\"]\n export_to_sheets(\"AWS_Storage_Usage\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n",
|
||||||
|
"instruction": "Import export_to_sheets from aws_utils and use it to export the storage report to a Google Sheet. Collect report data in a list of rows and call export_to_sheets at the end of the get_storage_report function.",
|
||||||
|
"file_path": "/Users/bob/git/dxw/aws-stuff/storage-usage.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "replace_1772538097847_0",
|
||||||
|
"name": "replace",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/storage-usage.py (1 replacements). Here is the updated code:\nimport boto3\nimport calendar\nfrom datetime import datetime, timedelta\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session, export_to_sheets\n\ndef get_storage_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n...\n\n print(f\"\\n--- Storage Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Storage (GB)':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n rows = []\n sorted_accounts = sorted(account_storage_totals.items(), key=lambda x: x[1], reverse=True)\n for acc_id, total_gb in sorted_accounts:\n acc_name = all_accounts.get(acc_id, acc_id)\n overage = max(0, total_gb - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_gb:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n rows.append([acc_name, acc_id, round(total_gb, 2), round(overage, 2)])\n\n headers = [\"Account Name\", \"Account ID\", f\"Storage GB ({start_date})\", \"Overage (>100GB)\"]\n export_to_sheets(\"AWS_Storage_Usage\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_storage_report(100.0)\n..."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-03T11:41:55.338Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: storage-usage.py\n===================================================================\n--- storage-usage.py\tCurrent\n+++ storage-usage.py\tProposed\n@@ -1,7 +1,7 @@\n import boto3\n import calendar\n from datetime import datetime, timedelta\n-from aws_utils import get_account_names, get_previous_month_range, get_boto_session\n+from aws_utils import get_account_names, get_previous_month_range, get_boto_session, export_to_sheets\n \n def get_storage_report(threshold_gb=100.0):\n session = get_boto_session()\n@@ -70,13 +70,18 @@\n print(f\"{'Account Name':<25} | {'Storage (GB)':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n \n+ rows = []\n sorted_accounts = sorted(account_storage_totals.items(), key=lambda x: x[1], reverse=True)\n for acc_id, total_gb in sorted_accounts:\n acc_name = all_accounts.get(acc_id, acc_id)\n overage = max(0, total_gb - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_gb:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n+ rows.append([acc_name, acc_id, round(total_gb, 2), round(overage, 2)])\n \n+ headers = [\"Account Name\", \"Account ID\", f\"Storage GB ({start_date})\", \"Overage (>100GB)\"]\n+ export_to_sheets(\"AWS_Storage_Usage\", headers, rows)\n+\n except Exception as e:\n print(f\"Error: {e}\")\n \n",
|
||||||
|
"fileName": "storage-usage.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/storage-usage.py",
|
||||||
|
"originalContent": "import boto3\nimport calendar\nfrom datetime import datetime, timedelta\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session\n\ndef get_storage_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n start_date, end_date = get_previous_month_range()\n\n # Calculate hours in the previous month for Byte-Hour conversion\n dt_end = datetime.strptime(end_date, '%Y-%m-%d')\n last_day_prev = dt_end - timedelta(days=1)\n _, num_days = calendar.monthrange(last_day_prev.year, last_day_prev.month)\n hours_in_month = num_days * 24\n\n account_storage_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ],\n 'Filter': {\n \"Dimensions\": {\n \"Key\": \"USAGE_TYPE_GROUP\",\n \"Values\": [\n \"S3: Storage - Standard\",\n \"S3: Storage - Infinite Archive\",\n \"EC2: EBS - Optimized Storage\",\n \"RDS: Storage\",\n \"EFS: Storage - Standard\",\n \"EFS: Storage - IA\",\n \"EFS: Storage - Archive\"\n ]\n }\n }\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if unit == 'ByteHrs':\n usage_amount = (usage_amount / (1024**3)) / hours_in_month\n elif unit in ['MB-Mo', 'Megabyte-Months']:\n usage_amount /= 1024\n\n if acc_id in account_storage_totals:\n account_storage_totals[acc_id] += usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Storage Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Storage (GB)':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(account_storage_totals.items(), key=lambda x: x[1], reverse=True)\n for acc_id, total_gb in sorted_accounts:\n acc_name = all_accounts.get(acc_id, acc_id)\n overage = max(0, total_gb - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_gb:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_storage_report(100.0)\n",
|
||||||
|
"newContent": "import boto3\nimport calendar\nfrom datetime import datetime, timedelta\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session, export_to_sheets\n\ndef get_storage_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n start_date, end_date = get_previous_month_range()\n\n # Calculate hours in the previous month for Byte-Hour conversion\n dt_end = datetime.strptime(end_date, '%Y-%m-%d')\n last_day_prev = dt_end - timedelta(days=1)\n _, num_days = calendar.monthrange(last_day_prev.year, last_day_prev.month)\n hours_in_month = num_days * 24\n\n account_storage_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ],\n 'Filter': {\n \"Dimensions\": {\n \"Key\": \"USAGE_TYPE_GROUP\",\n \"Values\": [\n \"S3: Storage - Standard\",\n \"S3: Storage - Infinite Archive\",\n \"EC2: EBS - Optimized Storage\",\n \"RDS: Storage\",\n \"EFS: Storage - Standard\",\n \"EFS: Storage - IA\",\n \"EFS: Storage - Archive\"\n ]\n }\n }\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n\n if unit == 'ByteHrs':\n usage_amount = (usage_amount / (1024**3)) / hours_in_month\n elif unit in ['MB-Mo', 'Megabyte-Months']:\n usage_amount /= 1024\n\n if acc_id in account_storage_totals:\n account_storage_totals[acc_id] += usage_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- Storage Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Storage (GB)':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n rows = []\n sorted_accounts = sorted(account_storage_totals.items(), key=lambda x: x[1], reverse=True)\n for acc_id, total_gb in sorted_accounts:\n acc_name = all_accounts.get(acc_id, acc_id)\n overage = max(0, total_gb - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(f\"{acc_name[:25]:<25} | {total_gb:>10.2f} GB | {overage:>8.2f} GB {status_icon}\")\n rows.append([acc_name, acc_id, round(total_gb, 2), round(overage, 2)])\n\n headers = [\"Account Name\", \"Account ID\", f\"Storage GB ({start_date})\", \"Overage (>100GB)\"]\n export_to_sheets(\"AWS_Storage_Usage\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_storage_report(100.0)\n",
|
||||||
|
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||||||
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||||||
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||||||
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||||||
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"displayName": "Edit",
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||||||
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|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "88e7e393-d5d3-47df-8192-68b82e64767f",
|
||||||
|
"timestamp": "2026-03-03T11:42:01.232Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will now check the file content to ensure that `import boto3`, `import calendar`, and `from datetime import datetime, timedelta` are still at the top of the file.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Implementing the Updates",
|
||||||
|
"description": "The changes are now live. I've successfully incorporated the `export_to_sheets` import. A `rows` list is primed, ready to receive account data. Headers, including the crucial start date, are also in place. Now, I'm ready to proceed with the next step!",
|
||||||
|
"timestamp": "2026-03-03T11:41:57.648Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Confirming the Changes",
|
||||||
|
"description": "The code is looking much better. I've re-reviewed the updated imports, and corrected a missed substitution in the script. I've confirmed all required imports are present, including `export_to_sheets`. Next, I will thoroughly test the implementation.",
|
||||||
|
"timestamp": "2026-03-03T11:41:59.014Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Reviewing the Implementation",
|
||||||
|
"description": "I've just added the import of `export_to_sheets` and initialized the `rows` list. Account data is being appended as expected, and the headers, including the start date, are in place. The `export_to_sheets` function is called with a descriptive title, so far, so good! I'm now verifying the script's imports against the original to ensure nothing broke during the update. I'm also confirming the `replace` tool's impact on the script's original imports.",
|
||||||
|
"timestamp": "2026-03-03T11:42:01.100Z"
|
||||||
|
}
|
||||||
|
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|
||||||
|
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||||||
|
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||||||
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|
||||||
|
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||||||
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||||||
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||||||
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||||||
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},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file_1772538121223_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "storage-usage.py",
|
||||||
|
"end_line": 10
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
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|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file_1772538121223_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "\nIMPORTANT: The file content has been truncated.\nStatus: Showing lines 1-10 of 90 total lines.\nAction: To read more of the file, you can use the 'start_line' and 'end_line' parameters in a subsequent 'read_file' call. For example, to read the next section of the file, use start_line: 11.\n\n--- FILE CONTENT (truncated) ---\nimport boto3\nimport calendar\nfrom datetime import datetime, timedelta\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session, export_to_sheets\n\ndef get_storage_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client('ce')\n all_accounts = get_account_names()\n start_date, end_date = get_previous_month_range()"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-03T11:42:01.255Z",
|
||||||
|
"resultDisplay": "Read lines 1-10 of 90 from storage-usage.py",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "17c7f52b-61bf-471e-a2e0-8a9cab6cab4c",
|
||||||
|
"timestamp": "2026-03-03T11:42:04.287Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have added `export_to_sheets` and will now perform a quick syntax check.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Verifying the Code",
|
||||||
|
"description": "I've incorporated the `export_to_sheets` function. My next step is to test the code. Since the functions depend on AWS and Google Sheets APIs, running the code in this environment without proper credentials may cause it to fail. I'll still proceed with a preliminary check for errors.",
|
||||||
|
"timestamp": "2026-03-03T11:42:04.189Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Running a Syntax Check",
|
||||||
|
"description": "I've confirmed the `export_to_sheets` function is in place. I'm now setting up a test run. Given the AWS and Google Sheets API dependencies, the complete run might fail without credentials. For now, I'll execute a syntax check to identify any obvious errors before moving forward.",
|
||||||
|
"timestamp": "2026-03-03T11:42:04.204Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "run_shell_command_1772538124285_0",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"args": {
|
||||||
|
"description": "Check for syntax errors in storage-usage.py",
|
||||||
|
"command": "python3 -m py_compile storage-usage.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "run_shell_command_1772538124285_0",
|
||||||
|
"name": "run_shell_command",
|
||||||
|
"response": {
|
||||||
|
"output": "Output: (empty)\nProcess Group PGID: 89195"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-03T11:42:12.225Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "Shell",
|
||||||
|
"description": "This tool executes a given shell command as `bash -c <command>`. To run a command in the background, set the `is_background` parameter to true. Do NOT use `&` to background commands. Command is executed as a subprocess that leads its own process group. Command process group can be terminated as `kill -- -PGID` or signaled as `kill -s SIGNAL -- -PGID`.\n\n Efficiency Guidelines:\n - Quiet Flags: Always prefer silent or quiet flags (e.g., `npm install --silent`, `git --no-pager`) to reduce output volume while still capturing necessary information.\n - Pagination: Always disable terminal pagination to ensure commands terminate (e.g., use `git --no-pager`, `systemctl --no-pager`, or set `PAGER=cat`).\n\n The following information is returned:\n\n Output: Combined stdout/stderr. Can be `(empty)` or partial on error and for any unwaited background processes.\n Exit Code: Only included if non-zero (command failed).\n Error: Only included if a process-level error occurred (e.g., spawn failure).\n Signal: Only included if process was terminated by a signal.\n Background PIDs: Only included if background processes were started.\n Process Group PGID: Only included if available.",
|
||||||
|
"renderOutputAsMarkdown": false
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "391d2590-ea89-4c9f-9684-c1d76e305b4d",
|
||||||
|
"timestamp": "2026-03-03T11:42:14.900Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have successfully updated `storage-usage.py` to import and call `export_to_sheets` from `aws_utils`. The storage report data is now collected into a `rows` list and exported to a Google Sheet with appropriate headers. The syntax check was successful.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Evaluating Implementation Steps",
|
||||||
|
"description": "I've just added the code to populate the `rows` list, incorporating the account name, ID, storage, and overage calculations, which I think will be important to communicate properly, so that the spreadsheet rows are going to provide effective reporting of overage. This is a crucial step towards generating the spreadsheet.",
|
||||||
|
"timestamp": "2026-03-03T11:42:14.298Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Refining the Sheet Generation",
|
||||||
|
"description": "Now I have a working implementation. I've finished the modifications to the script, importing the relevant function and constructing the rows with the necessary information for the spreadsheet. I've also implemented the sheet headers and successfully called the function to produce the sheet.",
|
||||||
|
"timestamp": "2026-03-03T11:42:14.850Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 22100,
|
||||||
|
"output": 57,
|
||||||
|
"cached": 19639,
|
||||||
|
"thoughts": 116,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 22273
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"kind": "main"
|
||||||
|
}
|
||||||
@@ -0,0 +1,190 @@
|
|||||||
|
{
|
||||||
|
"sessionId": "4c0f4b2a-9f2e-42b2-933f-5413cadea81c",
|
||||||
|
"projectHash": "c4ece9c032ac20d038bbd73e9aa5f86cb3fd24c826b8e99b6edcd77db288fcb1",
|
||||||
|
"startTime": "2026-03-03T11:45:32.754Z",
|
||||||
|
"lastUpdated": "2026-03-03T11:46:06.088Z",
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"id": "c3bc1f9c-8758-4d8f-b93d-19b5d5a68f35",
|
||||||
|
"timestamp": "2026-03-03T11:45:32.754Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "make @avg_bandwidth_12months.py export to google sheet"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\n--- Content from referenced files ---"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\nContent from @avg_bandwidth_12months.py:\n"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "import boto3\nfrom datetime import datetime\nfrom dateutil.relativedelta import relativedelta\nfrom aws_utils import get_account_names, get_boto_session\n\ndef get_average_bandwidth_report():\n session = get_boto_session()\n ce_client = session.client('ce')\n \n all_accounts = get_account_names()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id not in account_totals:\n account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n \n account_totals[acc_id]['usage'] += usage_amount\n account_totals[acc_id]['cost'] += cost_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n print(\"-\" * 80)\n\n # Sort by total cost descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1]['cost'], \n reverse=True\n )\n \n for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = totals['usage'] / 12.0\n avg_cost = totals['cost'] / 12.0\n total_cost = totals['cost']\n \n print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"text": "\n--- End of content ---"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"displayContent": [
|
||||||
|
{
|
||||||
|
"text": "make @avg_bandwidth_12months.py export to google sheet"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "631dd684-8e81-4641-90b5-56952bbbcbb4",
|
||||||
|
"timestamp": "2026-03-03T11:45:35.796Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will read `aws_utils.py` to confirm the signature and usage of the `export_to_sheets` function.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Initiating Google Sheets Integration",
|
||||||
|
"description": "I'm now zeroing in on integrating the Google Sheets export functionality. My plan is to call `export_to_sheets` from `avg_bandwidth_12months.py`. I'll need to figure out how to structure the data from the script into the `title`, `headers`, and `rows` arguments expected by the function.",
|
||||||
|
"timestamp": "2026-03-03T11:45:34.867Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Verifying `export_to_sheets` Function",
|
||||||
|
"description": "I've begun examining `aws_utils.py` to understand `export_to_sheets`'s requirements. This is key for correctly passing data from `avg_bandwidth_12months.py`. Next, I'll focus on how the report data in `avg_bandwidth_12months.py` is formatted so I can prepare the `headers` and `rows` data structures.",
|
||||||
|
"timestamp": "2026-03-03T11:45:35.676Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 16644,
|
||||||
|
"output": 43,
|
||||||
|
"cached": 3264,
|
||||||
|
"thoughts": 192,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 16879
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file_1772538335795_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "aws_utils.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file_1772538335795_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "import boto3\nimport json\nimport os\nimport subprocess\nimport time\nfrom datetime import datetime, date\nfrom dateutil.relativedelta import relativedelta\n\n# Attempt to load .env file if python-dotenv is installed\ntry:\n from dotenv import load_dotenv\n load_dotenv()\nexcept ImportError:\n pass\n\n# --- GOOGLE SHEETS CONFIG ---\ndef get_google_client_secret_file():\n return os.getenv('GOOGLE_CLIENT_SECRET_FILE', 'client_secret.json')\n\ndef get_google_authorized_user_file():\n return os.getenv('GOOGLE_AUTHORIZED_USER_FILE', 'authorized_user.json')\n\nSCOPES = [\n 'https://www.googleapis.com/auth/spreadsheets',\n 'https://www.googleapis.com/auth/drive'\n]\n\ndef get_google_auth():\n \"\"\"Authenticates with Google Sheets API.\"\"\"\n import gspread\n from google_auth_oauthlib.flow import InstalledAppFlow\n from google.auth.transport.requests import Request\n from google.oauth2.credentials import Credentials\n\n creds = None\n auth_user_file = get_google_authorized_user_file()\n client_secret_file = get_google_client_secret_file()\n\n if os.path.exists(auth_user_file):\n creds = Credentials.from_authorized_user_file(auth_user_file, SCOPES)\n \n if not creds or not creds.valid:\n if creds and creds.expired and creds.refresh_token:\n creds.refresh(Request())\n else:\n if not os.path.exists(client_secret_file):\n print(f\"Warning: {client_secret_file} not found. Google Sheets export will be skipped.\")\n return None\n flow = InstalledAppFlow.from_client_secrets_file(client_secret_file, SCOPES)\n creds = flow.run_local_server(port=0)\n with open(auth_user_file, 'w') as token:\n token.write(creds.to_json())\n \n return gspread.authorize(creds)\n\ndef export_to_sheets(title, headers, rows):\n \"\"\"\n Creates a Google Sheet and populates it with headers and rows.\n Title will be appended with ISO8601 date.\n \"\"\"\n gc = get_google_auth()\n if not gc:\n return None\n\n full_title = f\"{title}_{date.today().isoformat()}\"\n print(f\"Exporting to Google Sheet: {full_title}...\")\n \n try:\n sh = gc.create(full_title)\n ws = sh.get_worksheet(0)\n ws.update_title(\"Data\")\n \n # Prepare data: headers + rows\n data = [headers] + rows\n ws.update(data)\n \n # Basic formatting\n ws.format(\"A1:Z1\", {\"textFormat\": {\"bold\": True}})\n ws.freeze(rows=1)\n \n print(f\"Successfully exported to: {sh.url}\")\n return sh.url\n except Exception as e:\n print(f\"Error exporting to Google Sheets: {e}\")\n return None\n\ndef get_boto_session():\n \"\"\"\n Returns a boto3 session for the parent profile.\n Ensures SSO login is valid and unsets conflicting env vars.\n \"\"\"\n ensure_sso_login()\n parent_profile = os.getenv('AWS_PARENT_PROFILE', 'default')\n \n # Unset env vars that would override the profile\n for var in ['AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY', 'AWS_SESSION_TOKEN']:\n if var in os.environ:\n del os.environ[var]\n \n os.environ['AWS_PROFILE'] = parent_profile\n return boto3.Session(profile_name=parent_profile)\n\ndef ensure_sso_login():\n \"\"\"\n Checks if the current session has valid credentials.\n If not, attempts to run 'aws sso login'.\n Uses AWS_PARENT_PROFILE from env or defaults to 'default'.\n \"\"\"\n parent_profile = os.getenv('AWS_PARENT_PROFILE', 'default')\n \n # We create a temporary session to check credentials\n session = boto3.Session(profile_name=parent_profile)\n \n try:\n # Check if we can get an identity (indicates valid session)\n sts = session.client('sts')\n sts.get_caller_identity()\n except Exception:\n print(f\"Session for profile '{parent_profile}' expired or invalid. Attempting SSO login...\")\n try:\n # We use subprocess to call the CLI for login as it handles the browser flow\n subprocess.run([\"aws\", \"sso\", \"login\", \"--profile\", parent_profile], check=True)\n print(\"SSO login successful.\")\n except subprocess.CalledProcessError:\n print(\"Error: 'aws sso login' failed. Please login manually.\")\n return False\n except Exception as e:\n print(f\"An unexpected error occurred during login: {e}\")\n return False\n \n return True\n\ndef get_skip_accounts():\n \"\"\"Returns a list of account IDs to skip from SKIP_ACCOUNTS env var.\"\"\"\n skip_str = os.getenv('SKIP_ACCOUNTS', '')\n if not skip_str:\n return []\n return [s.strip() for s in skip_str.split(',') if s.strip()]\n\ndef get_ou_ids():\n \"\"\"Returns a list of OU IDs from OU_IDS env var.\"\"\"\n ou_str = os.geteLine truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-03T11:45:35.825Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "b08e3a5e-862b-4dd1-a017-19a517f3c070",
|
||||||
|
"timestamp": "2026-03-03T11:45:51.546Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will modify `avg_bandwidth_12months.py` to import `export_to_sheets` and use it to export the report data.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Implementing Export Functionality",
|
||||||
|
"description": "I'm making progress. I've successfully verified the existence of `export_to_sheets` within `aws_utils.py`. The next logical step is to integrate this function into `avg_bandwidth_12months.py`. My current plan involves importing the function and adapting the script's data output to leverage its capabilities.",
|
||||||
|
"timestamp": "2026-03-03T11:45:37.788Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Refactoring for Data Handling",
|
||||||
|
"description": "I'm now focusing on adapting the `avg_bandwidth_12months.py` script. The original script's output format is not directly compatible with `export_to_sheets`. I'm updating the data retrieval loop to capture the necessary values to assemble the `headers` and `rows` data structures, ensuring they are ready for the export function call.",
|
||||||
|
"timestamp": "2026-03-03T11:45:39.833Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Structuring Data for Export",
|
||||||
|
"description": "I'm now implementing the integration of `export_to_sheets` into the main script. This involves refactoring the data processing within `avg_bandwidth_12months.py`. I've added the import statement and am modifying the output loop to build the `rows` list. I've defined the `headers` and will call the export function at the end, and have also reviewed the existing output format. I'm now testing the updated loop to verify the data structure.",
|
||||||
|
"timestamp": "2026-03-03T11:45:41.736Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 19403,
|
||||||
|
"output": 2141,
|
||||||
|
"cached": 16653,
|
||||||
|
"thoughts": 681,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 22225
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "replace_1772538351543_0",
|
||||||
|
"name": "replace",
|
||||||
|
"args": {
|
||||||
|
"old_string": "from aws_utils import get_account_names, get_boto_session\n\ndef get_average_bandwidth_report():\n session = get_boto_session()\n ce_client = session.client('ce')\n \n all_accounts = get_account_names()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id not in account_totals:\n account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n \n account_totals[acc_id]['usage'] += usage_amount\n account_totals[acc_id]['cost'] += cost_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n print(\"-\" * 80)\n\n # Sort by total cost descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1]['cost'], \n reverse=True\n )\n \n for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = totals['usage'] / 12.0\n avg_cost = totals['cost'] / 12.0\n total_cost = totals['cost']\n \n print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")",
|
||||||
|
"file_path": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"new_string": "from aws_utils import get_account_names, get_boto_session, export_to_sheets\n\ndef get_average_bandwidth_report():\n session = get_boto_session()\n ce_client = session.client('ce')\n \n all_accounts = get_account_names()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id not in account_totals:\n account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n \n account_totals[acc_id]['usage'] += usage_amount\n account_totals[acc_id]['cost'] += cost_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n print(\"-\" * 80)\n\n # Sort by total cost descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1]['cost'], \n reverse=True\n )\n \n rows = []\n for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = totals['usage'] / 12.0\n avg_cost = totals['cost'] / 12.0\n total_cost = totals['cost']\n \n print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n rows.append([acc_name, acc_id, round(avg_usage, 2), round(avg_cost, 2), round(total_cost, 2)])\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n headers = [\"Account Name\", \"Account ID\", \"Avg GB\", \"Avg Cost ($)\", \"12m Total ($)\"]\n export_to_sheets(\"Avg_Bandwidth_12m\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")",
|
||||||
|
"instruction": "Import export_to_sheets from aws_utils and call it after generating the report to export the data to a Google Sheet.",
|
||||||
|
"allow_multiple": false
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "replace_1772538351543_0",
|
||||||
|
"name": "replace",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py (1 replacements). Here is the updated code:\nimport boto3\nfrom datetime import datetime\nfrom dateutil.relativedelta import relativedelta\nfrom aws_utils import get_account_names, get_boto_session, export_to_sheets\n\ndef get_average_bandwidth_report():\n session = get_boto_session()\n ce_client = session.client('ce')\n \n...\n account_totals.items(), \n key=lambda x: x[1]['cost'], \n reverse=True\n )\n \n rows = []\n for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = totals['usage'] / 12.0\n avg_cost = totals['cost'] / 12.0\n total_cost = totals['cost']\n \n print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n rows.append([acc_name, acc_id, round(avg_usage, 2), round(avg_cost, 2), round(total_cost, 2)])\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n headers = [\"Account Name\", \"Account ID\", \"Avg GB\", \"Avg Cost ($)\", \"12m Total ($)\"]\n export_to_sheets(\"Avg_Bandwidth_12m\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n..."
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-03T11:46:04.039Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: avg_bandwidth_12months.py\n===================================================================\n--- avg_bandwidth_12months.py\tCurrent\n+++ avg_bandwidth_12months.py\tProposed\n@@ -1,7 +1,7 @@\n import boto3\n from datetime import datetime\n from dateutil.relativedelta import relativedelta\n-from aws_utils import get_account_names, get_boto_session\n+from aws_utils import get_account_names, get_boto_session, export_to_sheets\n \n def get_average_bandwidth_report():\n session = get_boto_session()\n@@ -76,6 +76,7 @@\n reverse=True\n )\n \n+ rows = []\n for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = totals['usage'] / 12.0\n@@ -83,9 +84,13 @@\n total_cost = totals['cost']\n \n print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n+ rows.append([acc_name, acc_id, round(avg_usage, 2), round(avg_cost, 2), round(total_cost, 2)])\n \n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n \n+ headers = [\"Account Name\", \"Account ID\", \"Avg GB\", \"Avg Cost ($)\", \"12m Total ($)\"]\n+ export_to_sheets(\"Avg_Bandwidth_12m\", headers, rows)\n+\n except Exception as e:\n print(f\"Error: {e}\")\n \n",
|
||||||
|
"fileName": "avg_bandwidth_12months.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/avg_bandwidth_12months.py",
|
||||||
|
"originalContent": "import boto3\nfrom datetime import datetime\nfrom dateutil.relativedelta import relativedelta\nfrom aws_utils import get_account_names, get_boto_session\n\ndef get_average_bandwidth_report():\n session = get_boto_session()\n ce_client = session.client('ce')\n \n all_accounts = get_account_names()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id not in account_totals:\n account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n \n account_totals[acc_id]['usage'] += usage_amount\n account_totals[acc_id]['cost'] += cost_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n print(\"-\" * 80)\n\n # Sort by total cost descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1]['cost'], \n reverse=True\n )\n \n for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = totals['usage'] / 12.0\n avg_cost = totals['cost'] / 12.0\n total_cost = totals['cost']\n \n print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
"newContent": "import boto3\nfrom datetime import datetime\nfrom dateutil.relativedelta import relativedelta\nfrom aws_utils import get_account_names, get_boto_session, export_to_sheets\n\ndef get_average_bandwidth_report():\n session = get_boto_session()\n ce_client = session.client('ce')\n \n all_accounts = get_account_names()\n if not all_accounts:\n print(\"Could not retrieve account list. Check Organizations permissions.\")\n return\n\n # Set dates for the last 12 full months\n now = datetime.now()\n first_day_current_month = now.replace(day=1)\n end_date = first_day_current_month.strftime('%Y-%m-%d')\n start_date = (first_day_current_month - relativedelta(months=12)).strftime('%Y-%m-%d')\n\n # Initialize tracking: {acc_id: {'usage': 0.0, 'cost': 0.0}}\n account_totals = {acc_id: {'usage': 0.0, 'cost': 0.0} for acc_id in all_accounts.keys()}\n \n next_token = None\n\n try:\n while True:\n params = {\n 'TimePeriod': {'Start': start_date, 'End': end_date},\n 'Granularity': 'MONTHLY',\n 'Metrics': ['UsageQuantity', 'UnblendedCost'],\n 'GroupBy': [\n {'Type': 'DIMENSION', 'Key': 'LINKED_ACCOUNT'},\n {'Type': 'DIMENSION', 'Key': 'USAGE_TYPE'}\n ]\n }\n if next_token:\n params['NextPageToken'] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response['ResultsByTime']:\n for group in result['Groups']:\n acc_id = group['Keys'][0]\n usage_type = group['Keys'][1]\n usage_amount = float(group['Metrics']['UsageQuantity']['Amount'])\n unit = group['Metrics']['UsageQuantity']['Unit']\n cost_amount = float(group['Metrics']['UnblendedCost']['Amount'])\n\n # Bandwidth calculation logic from bwsuage.py\n if \"DataTransfer\" in usage_type:\n if unit == 'Bytes':\n usage_amount /= (1024**3)\n elif unit in ['MB', 'Megabytes']:\n usage_amount /= 1024\n \n if acc_id not in account_totals:\n account_totals[acc_id] = {'usage': 0.0, 'cost': 0.0}\n \n account_totals[acc_id]['usage'] += usage_amount\n account_totals[acc_id]['cost'] += cost_amount\n\n next_token = response.get('NextPageToken')\n if not next_token:\n break\n\n print(f\"\\n--- 12-Month Average Bandwidth & Cost Report ---\")\n print(f\"Period: {start_date} to {end_date}\")\n print(f\"{'Account Name':<25} | {'Avg GB':<10} | {'Avg Cost ($)':<12} | {'12m Total ($)'}\")\n print(\"-\" * 80)\n\n # Sort by total cost descending\n sorted_accounts = sorted(\n account_totals.items(), \n key=lambda x: x[1]['cost'], \n reverse=True\n )\n \n rows = []\n for acc_id, totals in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n avg_usage = totals['usage'] / 12.0\n avg_cost = totals['cost'] / 12.0\n total_cost = totals['cost']\n \n print(f\"{acc_name[:25]:<25} | {avg_usage:>10.2f} | {avg_cost:>12.2f} | {total_cost:>13.2f}\")\n rows.append([acc_name, acc_id, round(avg_usage, 2), round(avg_cost, 2), round(total_cost, 2)])\n\n print(f\"\\nTotal Accounts Scanned: {len(all_accounts)}\")\n\n headers = [\"Account Name\", \"Account ID\", \"Avg GB\", \"Avg Cost ($)\", \"12m Total ($)\"]\n export_to_sheets(\"Avg_Bandwidth_12m\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n\nif __name__ == \"__main__\":\n get_average_bandwidth_report()\n",
|
||||||
|
"diffStat": {
|
||||||
|
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|
||||||
|
"model_removed_lines": 1,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"isNewFile": false
|
||||||
|
},
|
||||||
|
"displayName": "Edit",
|
||||||
|
"description": "Replaces text within a file. By default, the tool expects to find and replace exactly ONE occurrence of `old_string`. If you want to replace multiple occurrences of the exact same string, set `allow_multiple` to true. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n \n The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n \n Expectation for required parameters:\n 1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n 2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n 3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n 4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the instance(s) to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations and `allow_multiple` is not true, the tool will fail.\n 5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n **Multiple replacements:** Set `allow_multiple` to true if you want to replace ALL occurrences that match `old_string` exactly.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "1722f8c6-65ae-4418-8d08-55b8a0550a7a",
|
||||||
|
"timestamp": "2026-03-03T11:46:06.088Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I've updated `avg_bandwidth_12months.py` to export the report to Google Sheets. The script now:\n1. Imports `export_to_sheets` from `aws_utils.py`.\n2. Collects each account's 12-month averages (GB and Cost) and total cost into a list of rows.\n3. Automatically triggers a Google Sheet export titled `Avg_Bandwidth_12m_[DATE]` after printing the results to the console.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Integrating the Export Function",
|
||||||
|
"description": "I've successfully integrated the `export_to_sheets` function into the `avg_bandwidth_12months.py` script. The script now gathers report data and initiates the export process immediately after displaying the summary information in the console. This streamlined approach allows for seamless data handling.",
|
||||||
|
"timestamp": "2026-03-03T11:46:06.016Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 22000,
|
||||||
|
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|
||||||
|
"cached": 16575,
|
||||||
|
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|
||||||
|
"tool": 0,
|
||||||
|
"total": 22162
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"kind": "main"
|
||||||
|
}
|
||||||
File diff suppressed because it is too large.
Load diff
@@ -0,0 +1,46 @@
|
|||||||
|
{
|
||||||
|
"sessionId": "b4d0330e-9f58-4a70-b3d6-560b1bb3162d",
|
||||||
|
"projectHash": "c4ece9c032ac20d038bbd73e9aa5f86cb3fd24c826b8e99b6edcd77db288fcb1",
|
||||||
|
"startTime": "2026-03-03T15:17:46.816Z",
|
||||||
|
"lastUpdated": "2026-03-03T15:17:51.297Z",
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"id": "b95dc682-6b2c-4495-96de-5470e86f9732",
|
||||||
|
"timestamp": "2026-03-03T15:17:46.816Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "deactivate a venv"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "034cebe6-a5aa-47ab-945b-c3e35f1104d6",
|
||||||
|
"timestamp": "2026-03-03T15:17:51.297Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "To deactivate a virtual environment in your current shell, simply run:\n\n```bash\ndeactivate\n```",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Analyzing Deactivation Strategy",
|
||||||
|
"description": "I'm currently considering the user's implicit context; they're probably inside an active virtual environment. The standard approach, \"deactivate,\" seems the logical first step, assuming a typical shell session. My internal processes are formulating a response tailored for this scenario, avoiding unnecessary complications.",
|
||||||
|
"timestamp": "2026-03-03T15:17:49.735Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Determining Optimal Response",
|
||||||
|
"description": "The context is now clear: the user requires the `deactivate` command. My previous analysis of their prompt pointed towards either instruction or inquiry. Considering my role, a concise and direct answer, providing the command, seems best. I'm finalizing the response now, aiming for clarity and brevity in execution.",
|
||||||
|
"timestamp": "2026-03-03T15:17:51.202Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 15532,
|
||||||
|
"output": 21,
|
||||||
|
"cached": 3218,
|
||||||
|
"thoughts": 254,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 15807
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"kind": "main"
|
||||||
|
}
|
||||||
@@ -0,0 +1,488 @@
|
|||||||
|
{
|
||||||
|
"sessionId": "2ec84e89-4daa-4314-94cd-87f8b70c129b",
|
||||||
|
"projectHash": "c4ece9c032ac20d038bbd73e9aa5f86cb3fd24c826b8e99b6edcd77db288fcb1",
|
||||||
|
"startTime": "2026-03-10T16:50:45.815Z",
|
||||||
|
"lastUpdated": "2026-03-10T17:16:27.171Z",
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"id": "483645e4-1611-420b-86b9-a8d399c454b7",
|
||||||
|
"timestamp": "2026-03-10T16:50:45.816Z",
|
||||||
|
"type": "info",
|
||||||
|
"content": "Skill \"using-superpowers\" is already enabled. You can run \"/skills reload\" to refresh your current instance."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "98919565-d2bc-4382-8ccf-c0af39a7a05e",
|
||||||
|
"timestamp": "2026-03-10T16:51:35.636Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "what other tools could we write"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "ab78b14c-85ac-4761-85d1-1862c8a98c84",
|
||||||
|
"timestamp": "2026-03-10T16:51:53.572Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will explore `aws_utils.py` and a few representative scripts to understand the current implementation patterns and depth of the existing tools.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Brainstorming AWS Tools",
|
||||||
|
"description": "I'm currently focused on expanding the existing AWS audit and reporting tools. I'm exploring potential additions to the codebase, prioritizing features that offer enhanced cost and billing insights. Right now, I'm analyzing the current tools, like `aws_bills.py`, to pinpoint areas for improvement and identify gaps in the reporting capabilities.",
|
||||||
|
"timestamp": "2026-03-10T16:51:38.946Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Generating Tool Ideas",
|
||||||
|
"description": "I'm now generating new tool ideas, keeping in mind the user's requirements for AWS audit and reporting tools. I'm focusing on areas where the current toolkit has gaps. Specifically, IAM auditing, focusing on users, roles, and policies, is at the top of my list, along with security group and S3 bucket auditing. I'm considering ways to incorporate backup compliance checks, and integrating Trusted Advisor.",
|
||||||
|
"timestamp": "2026-03-10T16:51:41.748Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Evaluating Current Tool Style",
|
||||||
|
"description": "I'm now diving into the existing codebase, focusing on the style and architecture of the current tools. I've started reviewing `aws_utils.py` to get a grasp of the shared utility functions and the overall approach. I intend to build tools that align with this style, starting with IAM auditing and security group checks, considering features such as MFA, inactive key checks, and open ports. I'll need to use some of the existing cost tools to see if the new tools can be easily combined with them.",
|
||||||
|
"timestamp": "2026-03-10T16:51:44.489Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 18517,
|
||||||
|
"output": 73,
|
||||||
|
"cached": 0,
|
||||||
|
"thoughts": 460,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 19050
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview",
|
||||||
|
"toolCalls": [
|
||||||
|
{
|
||||||
|
"id": "read_file_1773161504776_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "aws_utils.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file_1773161504776_0",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "import boto3\nimport json\nimport os\nimport subprocess\nimport time\nfrom datetime import datetime, date\nfrom dateutil.relativedelta import relativedelta\n\n# Attempt to load .env file if python-dotenv is installed\ntry:\n from dotenv import load_dotenv\n\n load_dotenv()\nexcept ImportError:\n pass\n\n\n# --- GOOGLE SHEETS CONFIG ---\ndef get_google_client_secret_file():\n return os.getenv(\"GOOGLE_CLIENT_SECRET_FILE\", \"client_secret.json\")\n\n\ndef get_google_authorized_user_file():\n return os.getenv(\"GOOGLE_AUTHORIZED_USER_FILE\", \"authorized_user.json\")\n\n\nSCOPES = [\n \"https://www.googleapis.com/auth/spreadsheets\",\n \"https://www.googleapis.com/auth/drive\",\n]\n\n\ndef get_google_auth():\n \"\"\"Authenticates with Google Sheets API.\"\"\"\n import gspread\n from google_auth_oauthlib.flow import InstalledAppFlow\n from google.auth.transport.requests import Request\n from google.oauth2.credentials import Credentials\n\n creds = None\n auth_user_file = get_google_authorized_user_file()\n client_secret_file = get_google_client_secret_file()\n\n if os.path.exists(auth_user_file):\n creds = Credentials.from_authorized_user_file(auth_user_file, SCOPES)\n\n if not creds or not creds.valid:\n if creds and creds.expired and creds.refresh_token:\n creds.refresh(Request())\n else:\n if not os.path.exists(client_secret_file):\n print(\n f\"Warning: {client_secret_file} not found. Google Sheets export will be skipped.\"\n )\n return None\n flow = InstalledAppFlow.from_client_secrets_file(client_secret_file, SCOPES)\n creds = flow.run_local_server(port=0)\n with open(auth_user_file, \"w\") as token:\n token.write(creds.to_json())\n\n return gspread.authorize(creds)\n\n\ndef export_to_sheets(title, headers, rows):\n \"\"\"\n Creates a Google Sheet and populates it with headers and rows.\n Title will be appended with ISO8601 date.\n \"\"\"\n gc = get_google_auth()\n if not gc:\n return None\n\n full_title = f\"{title}_{date.today().isoformat()}\"\n print(f\"Exporting to Google Sheet: {full_title}...\")\n\n try:\n sh = gc.create(full_title)\n\n # Share with domain if configured\n org_domain = os.getenv(\"GOOGLE_ORGANIZATION_DOMAIN\")\n if org_domain:\n try:\n print(f\"Sharing with organization domain: {org_domain}...\")\n sh.share(org_domain, perm_type=\"domain\", role=\"reader\")\n except Exception as share_error:\n print(\n f\"Warning: Failed to share with domain {org_domain}: {share_error}\"\n )\n\n ws = sh.get_worksheet(0)\n ws.update_title(\"Data\")\n\n # Prepare data: headers + rows\n data = [headers] + rows\n ws.update(data)\n\n # Basic formatting\n ws.format(\"A1:Z1\", {\"textFormat\": {\"bold\": True}})\n ws.freeze(rows=1)\n\n print(f\"Successfully exported to: {sh.url}\")\n return sh.url\n except Exception as e:\n print(f\"Error exporting to Google Sheets: {e}\")\n return None\n\n\ndef get_boto_session():\n \"\"\"\n Returns a boto3 session for the parent profile.\n Ensures SSO login is valid and unsets conflicting env vars.\n \"\"\"\n ensure_sso_login()\n parent_profile = os.getenv(\"AWS_PARENT_PROFILE\", \"default\")\n\n # Unset env vars that would override the profile\n for var in [\"AWS_ACCESS_KEY_ID\", \"AWS_SECRET_ACCESS_KEY\", \"AWS_SESSION_TOKEN\"]:\n if var in os.environ:\n del os.environ[var]\n\n os.environ[\"AWS_PROFILE\"] = parent_profile\n return boto3.Session(profile_name=parent_profile)\n\n\ndef ensure_sso_login():\n \"\"\"\n Checks if the current session has valid credentials.\n If not, attempts to run 'aws sso login'.\n Uses AWS_PARENT_PROFILE from env or defaults to 'default'.\n \"\"\"\n parent_profile = os.getenv(\"AWS_PARENT_PROFILE\", \"default\")\n\n # We create a temporary session to check credentials\n session = boto3.Session(profile_name=parent_profile)\n\n try:\n # Check if we can get an identity (indicates valid session)\n sts = session.client(\"sts\")\n sts.get_caller_identity()\n except Exception:\n print(\n f\"Session for profile '{parent_profile}' expired or invalid. Attempting SSO login...\"\n )\n try:\n # We use subprocess to call the CLI for login as it handles the browser flow\n subprocess.run(\n [\"aws\", \"sso\", \"login\", \"--profile\", parent_profile], check=True\n )\n print(\"SSO login successful.\")\n except subprocess.CalledProcessError:\n print(\"Error: 'aws sso login' failed. PLine truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-10T16:51:53.637Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "read_file_1773161513496_1",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "aws-ips.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file_1773161513496_1",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\n# Function to list public IPs, Private IPs, and Instance IDs\ndef list_ec2_instance_info(ec2_client):\n \"\"\"\n Lists the public IP, private IP, and Instance ID of EC2 instances.\n Returns a list of dictionaries.\n \"\"\"\n instance_info = []\n paginator = ec2_client.get_paginator(\"describe_instances\")\n for page in paginator.paginate():\n for reservation in page[\"Reservations\"]:\n for instance in reservation[\"Instances\"]:\n # Only process if it has a Public IP\n if \"PublicIpAddress\" in instance:\n instance_info.append(\n {\n \"InstanceId\": instance[\"InstanceId\"],\n \"PublicIp\": instance[\"PublicIpAddress\"],\n \"PrivateIp\": instance.get(\"PrivateIpAddress\", \"N/A\"),\n }\n )\n return instance_info\n\n\n# Function to list Elastic IPs (EIPs)\ndef list_elastic_ips(ec2_client):\n elastic_ips = []\n response = ec2_client.describe_addresses()\n for address in response[\"Addresses\"]:\n if \"PublicIp\" in address:\n elastic_ips.append(address[\"PublicIp\"])\n return elastic_ips\n\n\n# Function to list the DNS names of internet-facing ALBs\ndef list_alb_dns_names(elbv2_client):\n alb_dns_names = []\n response = elbv2_client.describe_load_balancers()\n for lb in response[\"LoadBalancers\"]:\n if lb[\"Scheme\"] == \"internet-facing\":\n alb_dns_names.append(lb[\"DNSName\"])\n return alb_dns_names\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n rows_for_sheets = []\n\n # Open CSV file for writing\n with open(\"aws_external_ips_by_region.csv\", mode=\"w\", newline=\"\") as csvfile:\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"Type\",\n \"Instance ID\",\n \"Public IP/DNS Name\",\n \"Private IP\",\n \"Private Hostname\",\n ]\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n # Iterate through active accounts and then through the regions\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n try:\n boto3.setup_default_session(profile_name=profile_name)\n\n for region in regions_to_check:\n try:\n ec2_client = boto3.client(\"ec2\", region_name=region)\n elbv2_client = boto3.client(\"elbv2\", region_name=region)\n\n # Process EC2 Instances\n ec2_info = list_ec2_instance_info(ec2_client)\n for item in ec2_info:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"Type\": \"EC2\",\n \"Instance ID\": item[\"InstanceId\"],\n \"Public IP/DNS Name\": item[\"PublicIp\"],\n \"Private IP\": item[\"PrivateIp\"],\n \"Private Hostname\": \"N/A\",\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n # Process EIPs\n eips = list_elastic_ips(ec2_client)\n for ip in eips:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"Type\": \"EIP\",\n \"Instance ID\": \"N/A\",\n \"Public IP/DNS Name\": ip,\n \"Private IP\": \"N/A\",\n \"Private Hostname\": \"N/A\",\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n # Process ALBs\n albs = list_alb_dns_names(elbv2_client)\n for dns in albs:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n Line truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-10T16:51:53.637Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "read_file_1773161513566_2",
|
||||||
|
"name": "read_file",
|
||||||
|
"args": {
|
||||||
|
"file_path": "aws-vpc.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "read_file_1773161513566_2",
|
||||||
|
"name": "read_file",
|
||||||
|
"response": {
|
||||||
|
"output": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_vpc_name(tags):\n if tags:\n for tag in tags:\n if tag[\"Key\"] == \"Name\":\n return tag[\"Value\"]\n return \"Unnamed VPC\"\n\n\ndef list_vpcs(ec2_client):\n vpcs_info = []\n paginator = ec2_client.get_paginator(\"describe_vpcs\")\n for page in paginator.paginate():\n for vpc in page[\"Vpcs\"]:\n vpcs_info.append(\n {\n \"VPCName\": get_vpc_name(vpc.get(\"Tags\")),\n \"VPCID\": vpc[\"VpcId\"],\n \"CIDRBlock\": vpc.get(\"CidrBlock\", \"N/A\"),\n }\n )\n return vpcs_info\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n total_vpcs_all_accounts = 0\n rows_for_sheets = []\n\n with open(\"aws_vpcs_by_region.csv\", mode=\"w\", newline=\"\") as csvfile:\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"VPCName\",\n \"VPCID\",\n \"CIDRBlock\",\n ]\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n try:\n boto3.setup_default_session(profile_name=profile_name)\n for region in regions_to_check:\n try:\n ec2_client = boto3.client(\"ec2\", region_name=region)\n vpcs_info = list_vpcs(ec2_client)\n total_vpcs_all_accounts += len(vpcs_info)\n\n for vpc in vpcs_info:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"VPCName\": vpc[\"VPCName\"],\n \"VPCID\": vpc[\"VPCID\"],\n \"CIDRBlock\": vpc[\"CIDRBlock\"],\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n if vpcs_info:\n print(\n f'\"{account_name}\" (ID: {account_id}, Region: {region}) VPCs found: {len(vpcs_info)}'\n )\n except ClientError as e:\n print(f\"Error in {region} for {account_name}: {e}\")\n except (ClientError, ProfileNotFound) as e:\n print(f\"Error accessing account {account_name}: {e}\")\n\n print(f\"\\nTotal number of VPCs found: {total_vpcs_all_accounts}\")\n print(\"CSV file 'aws_vpcs_by_region.csv' generated successfully.\")\n\n # Export to Google Sheets\n export_to_sheets(\"aws-vpc\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n main()\n"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-10T16:51:53.637Z",
|
||||||
|
"resultDisplay": "",
|
||||||
|
"displayName": "ReadFile",
|
||||||
|
"description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'start_line' and 'end_line' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "4d8c3724-6412-49aa-967b-79b9e9c32316",
|
||||||
|
"timestamp": "2026-03-10T16:52:11.771Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have analyzed the current codebase and the `aws_utils.py` module. The existing tools provide a strong foundation for multi-account AWS auditing, focusing on cost, inventory, and basic networking.\n\nBased on the established patterns, here are several new tools we could implement to further enhance the auditing capabilities of this repository:\n\n### 1. Security & Identity\n* **`iam-audit.py`**: Identifies IAM users without MFA, inactive users (e.g., 90+ days), and users with access keys older than 180 days.\n* **`security-group-audit.py`**: Flags Security Groups with overly permissive rules (e.g., `0.0.0.0/0` on ports 22, 3389, or 5432).\n* **`s3-security-audit.py`**: Reports on S3 bucket public access status, encryption-at-rest settings, and whether versioning or lifecycle policies are enabled.\n* **`cloudtrail-audit.py`**: Verifies if CloudTrail is enabled and logging correctly in all regions across all accounts.\n\n### 2. Cost Optimization\n* **`cw-logs-retention.py`**: Identifies CloudWatch Log Groups with \"Never Expire\" retention settings, which often lead to unnecessary storage costs.\n* **`ebs-unused-audit.py`**: Lists unattached EBS volumes and unassociated Elastic IPs that are accruing costs without being used.\n* **`snapshot-age-audit.py`**: Flags EBS and RDS snapshots older than a specific threshold (e.g., 1 year) that might no longer be needed.\n* **`lambda-efficiency.py`**: Audits Lambda functions for outdated runtimes, excessive memory allocation, or long timeouts.\n\n### 3. Governance & Compliance\n* **`tagging-compliance.py`**: Checks for resources (EC2, RDS, S3) missing a standard set of mandatory tags (e.g., `Project`, `Environment`, `Owner`).\n* **`backup-compliance.py`**: Reports on backup coverage for critical resources using AWS Backup or native snapshotting, highlighting those without recent backups.\n* **`trusted-advisor-summary.py`**: Aggregates high-level recommendations from AWS Trusted Advisor across the entire organization.\n\n### 4. Specialized Resource Inventory\n* **`route53-inventory.py`**: Lists all Hosted Zones and record counts across accounts to provide a global view of DNS.\n* **`kms-key-audit.py`**: Inventories KMS keys, their rotation status, and whether they are nearing their deletion date.\n* **`acm-certificate-audit.py`**: Lists ACM certificates across all regions and flags those nearing expiration (e.g., within 30 days).\n\nWould you like me to start implementing one of these, or do you have a specific area of interest (e.g., Security vs. Cost) you'd like to prioritize?",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Examining Current Tooling",
|
||||||
|
"description": "I've been meticulously reviewing the current tools. They effectively handle basic inventory, covering areas like VPCs, IPs, and various services like RDS and CloudFront. The consistent pattern of iterating through accounts using `aws_utils.setup_org_accounts_session()` and establishing boto3 sessions for each is quite clear.",
|
||||||
|
"timestamp": "2026-03-10T16:52:06.545Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Evaluating New Tool Ideas",
|
||||||
|
"description": "My focus has shifted to potential new tools, with security and cost optimization being key areas. I'm visualizing the workflow: iterating through accounts, establishing boto3 sessions, and leveraging paginators to gather data. The suggested tools, like identifying IAM users without MFA or costly log groups, align well with the existing pattern.",
|
||||||
|
"timestamp": "2026-03-10T16:52:08.951Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Formulating New Tool Proposals",
|
||||||
|
"description": "I've outlined several potential new tool ideas, aligning with the existing workflow. These span security, cost optimization, operations, and visibility. The aim is to integrate these tools, which include checks for IAM users without MFA, open security groups, and excessive log group retention, into the current system, building on the established account iteration and data gathering practices. I'll need to check for existing solutions before proposing these to the user.",
|
||||||
|
"timestamp": "2026-03-10T16:52:11.473Z"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"tokens": {
|
||||||
|
"input": 23571,
|
||||||
|
"output": 656,
|
||||||
|
"cached": 16939,
|
||||||
|
"thoughts": 495,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 24722
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "f13e3b14-8c9d-4510-bab7-372cf0fb13fc",
|
||||||
|
"timestamp": "2026-03-10T16:53:57.822Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "lets do the s3-security-audit script"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "35701391-51cb-4e7f-b99e-d72741e707de",
|
||||||
|
"timestamp": "2026-03-10T16:54:15.128Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will implement the `s3-security-audit.py` script, leveraging our existing multi-account iteration patterns to report on bucket encryption, public access settings, versioning, and lifecycle policies.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Initiating the Audit",
|
||||||
|
"description": "I'm starting the implementation of `s3-security-audit.py`. My primary objective is to audit S3 buckets organization-wide, spanning all accounts and regions within the AWS Organization. I've begun to define the key metrics for the audit report, specifically account name/ID.",
|
||||||
|
"timestamp": "2026-03-10T16:54:03.588Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Outlining the Scope",
|
||||||
|
"description": "I'm solidifying the scope, making sure I cover everything. I'm focusing on metrics like account details, bucket names, and regions. I'm also ensuring the report will cover public access blocks, encryption, versioning, lifecycle policies, and logging, and including both account- and bucket-level details.",
|
||||||
|
"timestamp": "2026-03-10T16:54:06.323Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Formulating the Script",
|
||||||
|
"description": "I'm now writing the Python script, `s3-security-audit.py`. I've added a function to iterate through accounts, and I'm prepping the logic to list buckets within each account. Refining the approach to handle bucket regions is underway; I'll use `get_bucket_location` to determine the region. I'm also incorporating error handling for scenarios like \"Not Found\" or \"Forbidden\" errors, to make things robust. Finally, I'm thinking of how to output the results.",
|
||||||
|
"timestamp": "2026-03-10T16:54:08.552Z"
|
||||||
|
}
|
||||||
|
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|
||||||
|
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|
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||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"id": "write_file_1773161655118_0",
|
||||||
|
"name": "write_file",
|
||||||
|
"args": {
|
||||||
|
"content": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_bucket_region(s3_client, bucket_name):\n \"\"\"Returns the region where the bucket is located.\"\"\"\n try:\n response = s3_client.get_bucket_location(Bucket=bucket_name)\n return response.get(\"LocationConstraint\") or \"us-east-1\"\n except ClientError:\n return \"unknown\"\n\n\ndef check_public_access_block(s3_client, bucket_name):\n \"\"\"Checks if Public Access Block is enabled for the bucket.\"\"\"\n try:\n response = s3_client.get_public_access_block(Bucket=bucket_name)\n pab = response.get(\"PublicAccessBlockConfiguration\", {})\n # If all four are True, it's fully blocked.\n return all(\n [\n pab.get(\"BlockPublicAcls\", False),\n pab.get(\"IgnorePublicAcls\", False),\n pab.get(\"BlockPublicPolicy\", False),\n pab.get(\"RestrictPublicBuckets\", False),\n ]\n )\n except ClientError as e:\n if e.response[\"Error\"][\"Code\"] == \"NoSuchPublicAccessBlockConfiguration\":\n return False\n return \"Error/Forbidden\"\n\n\ndef check_encryption(s3_client, bucket_name):\n \"\"\"Checks if default encryption is enabled.\"\"\"\n try:\n response = s3_client.get_bucket_encryption(Bucket=bucket_name)\n rules = response.get(\"ServerSideEncryptionConfiguration\", {}).get(\"Rules\", [])\n if rules:\n return rules[0].get(\"ApplyServerSideEncryptionByDefault\", {}).get(\n \"SSEAlgorithm\", \"Enabled\"\n )\n return False\n except ClientError as e:\n if e.response[\"Error\"][\"Code\"] == \"ServerSideEncryptionConfigurationNotFoundError\":\n return \"Disabled\"\n return \"Error/Forbidden\"\n\n\ndef check_versioning(s3_client, bucket_name):\n \"\"\"Checks if versioning is enabled.\"\"\"\n try:\n response = s3_client.get_bucket_versioning(Bucket=bucket_name)\n return response.get(\"Status\", \"Disabled\")\n except ClientError:\n return \"Error/Forbidden\"\n\n\ndef check_lifecycle(s3_client, bucket_name):\n \"\"\"Checks if lifecycle policies exist.\"\"\"\n try:\n s3_client.get_bucket_lifecycle_configuration(Bucket=bucket_name)\n return \"Enabled\"\n except ClientError as e:\n if e.response[\"Error\"][\"Code\"] == \"NoSuchLifecycleConfiguration\":\n return \"Disabled\"\n return \"Error/Forbidden\"\n\n\ndef main():\n get_boto_session()\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"BucketName\",\n \"Region\",\n \"PublicAccessBlockAll\",\n \"Encryption\",\n \"Versioning\",\n \"LifecyclePolicies\",\n ]\n\n filename = \"aws_s3_security_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing S3 for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n s3_global = boto3.client(\"s3\")\n\n # list_buckets is global\n try:\n buckets_resp = s3_global.list_buckets()\n except ClientError as e:\n print(f\" Error listing buckets: {e}\")\n continue\n\n for bucket in buckets_resp.get(\"Buckets\", []):\n bucket_name = bucket[\"Name\"]\n region = get_bucket_region(s3_global, bucket_name)\n\n # For S3, it's often better to use a regional client for bucket-specific configs\n s3_regional = boto3.client(\"s3\", region_name=region)\n\n pab = check_public_access_block(s3_regional, bucket_name)\n encryption = check_encryption(s3_regional, bucket_name)\n versioning = check_versioning(s3_regional, bucket_name)\n lifecycle = check_lifecycle(s3_regional, bucket_name)\n\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"BucketName\": bucket_name,\n \"Region\": region,\n \"PublicAccessBlockAll\": pab,\n \"Encryption\": encryption,\n \"Versioning\": versioning,\n \"LifecyclePolicies\": lifecycle,\n Line truncated
|
||||||
|
"file_path": "s3-security-audit.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "write_file_1773161655118_0",
|
||||||
|
"name": "write_file",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/s3-security-audit.py. Here is the updated code:\nimport boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_bucket_region(s3_client, bucket_name):\n \"\"\"Returns the region where the bucket is located.\"\"\"\n try:\n response = s3_client.get_bucket_location(Bucket=bucket_name)\n return response.get(\"LocationConstraint\") or \"us-east-1\"\n except ClientError:\n return \"unknown\"\n\n\ndef check_public_access_block(s3_client, bucket_name):\n \"\"\"Checks if Public Access Block is enabled for the bucket.\"\"\"\n try:\n response = s3_client.get_public_access_block(Bucket=bucket_name)\n pab = response.get(\"PublicAccessBlockConfiguration\", {})\n # If all four are True, it's fully blocked.\n return all(\n [\n pab.get(\"BlockPublicAcls\", False),\n pab.get(\"IgnorePublicAcls\", False),\n pab.get(\"BlockPublicPolicy\", False),\n pab.get(\"RestrictPublicBuckets\", False),\n ]\n )\n except ClientError as e:\n if e.response[\"Error\"][\"Code\"] == \"NoSuchPublicAccessBlockConfiguration\":\n return False\n return \"Error/Forbidden\"\n\n\ndef check_encryption(s3_client, bucket_name):\n \"\"\"Checks if default encryption is enabled.\"\"\"\n try:\n response = s3_client.get_bucket_encryption(Bucket=bucket_name)\n rules = response.get(\"ServerSideEncryptionConfiguration\", {}).get(\"Rules\", [])\n if rules:\n return rules[0].get(\"ApplyServerSideEncryptionByDefault\", {}).get(\n \"SSEAlgorithm\", \"Enabled\"\n )\n return False\n except ClientError as e:\n if e.response[\"Error\"][\"Code\"] == \"ServerSideEncryptionConfigurationNotFoundError\":\n return \"Disabled\"\n return \"Error/Forbidden\"\n\n\ndef check_versioning(s3_client, bucket_name):\n \"\"\"Checks if versioning is enabled.\"\"\"\n try:\n response = s3_client.get_bucket_versioning(Bucket=bucket_name)\n return response.get(\"Status\", \"Disabled\")\n except ClientError:\n return \"Error/Forbidden\"\n\n\ndef check_lifecycle(s3_client, bucket_name):\n \"\"\"Checks if lifecycle policies exist.\"\"\"\n try:\n s3_client.get_bucket_lifecycle_configuration(Bucket=bucket_name)\n return \"Enabled\"\n except ClientError as e:\n if e.response[\"Error\"][\"Code\"] == \"NoSuchLifecycleConfiguration\":\n return \"Disabled\"\n return \"Error/Forbidden\"\n\n\ndef main():\n get_boto_session()\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"BucketName\",\n \"Region\",\n \"PublicAccessBlockAll\",\n \"Encryption\",\n \"Versioning\",\n \"LifecyclePolicies\",\n ]\n\n filename = \"aws_s3_security_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing S3 for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n s3_global = boto3.client(\"s3\")\n\n # list_buckets is global\n try:\n buckets_resp = s3_global.list_buckets()\n except ClientError as e:\n print(f\" Error listing buckets: {e}\")\n continue\n\n for bucket in buckets_resp.get(\"Buckets\", []):\n bucket_name = bucket[\"Name\"]\n region = get_bucket_region(s3_global, bucket_name)\n\n # For S3, it's often better to use a regional client for bucket-specific configs\n s3_regional = boto3.client(\"s3\", region_name=region)\n\n pab = check_public_access_block(s3_regional, bucket_name)\n encryption = check_encryption(s3_regional, bucket_name)\n versioning = check_versioning(s3_regional, bucket_name)\n lifecycle = check_lifecycle(s3_regional, bucket_name)\n\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"BucketName\": bucket_name,\n \"Region\": region,\n \"PublicAccessBlockAll\": pab,\n \"Encryption\": encryption,\Line truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-10T16:54:51.168Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: s3-security-audit.py\n===================================================================\n--- s3-security-audit.py\tOriginal\n+++ s3-security-audit.py\tWritten\n@@ -0,0 +1,143 @@\n+import boto3\n+import csv\n+from botocore.exceptions import ClientError, ProfileNotFound\n+from aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n+\n+\n+def get_bucket_region(s3_client, bucket_name):\n+ \"\"\"Returns the region where the bucket is located.\"\"\"\n+ try:\n+ response = s3_client.get_bucket_location(Bucket=bucket_name)\n+ return response.get(\"LocationConstraint\") or \"us-east-1\"\n+ except ClientError:\n+ return \"unknown\"\n+\n+\n+def check_public_access_block(s3_client, bucket_name):\n+ \"\"\"Checks if Public Access Block is enabled for the bucket.\"\"\"\n+ try:\n+ response = s3_client.get_public_access_block(Bucket=bucket_name)\n+ pab = response.get(\"PublicAccessBlockConfiguration\", {})\n+ # If all four are True, it's fully blocked.\n+ return all(\n+ [\n+ pab.get(\"BlockPublicAcls\", False),\n+ pab.get(\"IgnorePublicAcls\", False),\n+ pab.get(\"BlockPublicPolicy\", False),\n+ pab.get(\"RestrictPublicBuckets\", False),\n+ ]\n+ )\n+ except ClientError as e:\n+ if e.response[\"Error\"][\"Code\"] == \"NoSuchPublicAccessBlockConfiguration\":\n+ return False\n+ return \"Error/Forbidden\"\n+\n+\n+def check_encryption(s3_client, bucket_name):\n+ \"\"\"Checks if default encryption is enabled.\"\"\"\n+ try:\n+ response = s3_client.get_bucket_encryption(Bucket=bucket_name)\n+ rules = response.get(\"ServerSideEncryptionConfiguration\", {}).get(\"Rules\", [])\n+ if rules:\n+ return rules[0].get(\"ApplyServerSideEncryptionByDefault\", {}).get(\n+ \"SSEAlgorithm\", \"Enabled\"\n+ )\n+ return False\n+ except ClientError as e:\n+ if e.response[\"Error\"][\"Code\"] == \"ServerSideEncryptionConfigurationNotFoundError\":\n+ return \"Disabled\"\n+ return \"Error/Forbidden\"\n+\n+\n+def check_versioning(s3_client, bucket_name):\n+ \"\"\"Checks if versioning is enabled.\"\"\"\n+ try:\n+ response = s3_client.get_bucket_versioning(Bucket=bucket_name)\n+ return response.get(\"Status\", \"Disabled\")\n+ except ClientError:\n+ return \"Error/Forbidden\"\n+\n+\n+def check_lifecycle(s3_client, bucket_name):\n+ \"\"\"Checks if lifecycle policies exist.\"\"\"\n+ try:\n+ s3_client.get_bucket_lifecycle_configuration(Bucket=bucket_name)\n+ return \"Enabled\"\n+ except ClientError as e:\n+ if e.response[\"Error\"][\"Code\"] == \"NoSuchLifecycleConfiguration\":\n+ return \"Disabled\"\n+ return \"Error/Forbidden\"\n+\n+\n+def main():\n+ get_boto_session()\n+ rows_for_sheets = []\n+ fieldnames = [\n+ \"AccountName\",\n+ \"AccountID\",\n+ \"BucketName\",\n+ \"Region\",\n+ \"PublicAccessBlockAll\",\n+ \"Encryption\",\n+ \"Versioning\",\n+ \"LifecyclePolicies\",\n+ ]\n+\n+ filename = \"aws_s3_security_audit.csv\"\n+\n+ with open(filename, mode=\"w\", newline=\"\") as csvfile:\n+ writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n+ writer.writeheader()\n+\n+ for account, profile_name in setup_org_accounts_session():\n+ account_id = account[\"Id\"]\n+ account_name = account[\"Name\"]\n+ print(f\"Auditing S3 for account: {account_name} ({account_id})...\")\n+\n+ try:\n+ boto3.setup_default_session(profile_name=profile_name)\n+ s3_global = boto3.client(\"s3\")\n+\n+ # list_buckets is global\n+ try:\n+ buckets_resp = s3_global.list_buckets()\n+ except ClientError as e:\n+ print(f\" Error listing buckets: {e}\")\n+ continue\n+\n+ for bucket in buckets_resp.get(\"Buckets\", []):\n+ bucket_name = bucket[\"Name\"]\n+ region = get_bucket_region(s3_global, bucket_name)\n+\n+ # For S3, it's often better to use a regional client for bucket-specific configs\n+ s3_regional = boto3.client(\"s3\", region_name=region)\n+\n+ pab = check_public_access_block(s3_regional, bucket_name)\n+ encryption = check_encryption(s3_regional, bucket_name)\n+ versioning = check_versioning(s3_regional, bucket_name)\n+ lifecycle = check_lifecycle(s3_regional, bucket_name)\n+\n+ row = {\n+ \"AccountName\": account_name,\n+ \"AccountID\": account_id,\n+ Line truncated
|
||||||
|
"fileName": "s3-security-audit.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/s3-security-audit.py",
|
||||||
|
"originalContent": "",
|
||||||
|
"newContent": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_bucket_region(s3_client, bucket_name):\n \"\"\"Returns the region where the bucket is located.\"\"\"\n try:\n response = s3_client.get_bucket_location(Bucket=bucket_name)\n return response.get(\"LocationConstraint\") or \"us-east-1\"\n except ClientError:\n return \"unknown\"\n\n\ndef check_public_access_block(s3_client, bucket_name):\n \"\"\"Checks if Public Access Block is enabled for the bucket.\"\"\"\n try:\n response = s3_client.get_public_access_block(Bucket=bucket_name)\n pab = response.get(\"PublicAccessBlockConfiguration\", {})\n # If all four are True, it's fully blocked.\n return all(\n [\n pab.get(\"BlockPublicAcls\", False),\n pab.get(\"IgnorePublicAcls\", False),\n pab.get(\"BlockPublicPolicy\", False),\n pab.get(\"RestrictPublicBuckets\", False),\n ]\n )\n except ClientError as e:\n if e.response[\"Error\"][\"Code\"] == \"NoSuchPublicAccessBlockConfiguration\":\n return False\n return \"Error/Forbidden\"\n\n\ndef check_encryption(s3_client, bucket_name):\n \"\"\"Checks if default encryption is enabled.\"\"\"\n try:\n response = s3_client.get_bucket_encryption(Bucket=bucket_name)\n rules = response.get(\"ServerSideEncryptionConfiguration\", {}).get(\"Rules\", [])\n if rules:\n return rules[0].get(\"ApplyServerSideEncryptionByDefault\", {}).get(\n \"SSEAlgorithm\", \"Enabled\"\n )\n return False\n except ClientError as e:\n if e.response[\"Error\"][\"Code\"] == \"ServerSideEncryptionConfigurationNotFoundError\":\n return \"Disabled\"\n return \"Error/Forbidden\"\n\n\ndef check_versioning(s3_client, bucket_name):\n \"\"\"Checks if versioning is enabled.\"\"\"\n try:\n response = s3_client.get_bucket_versioning(Bucket=bucket_name)\n return response.get(\"Status\", \"Disabled\")\n except ClientError:\n return \"Error/Forbidden\"\n\n\ndef check_lifecycle(s3_client, bucket_name):\n \"\"\"Checks if lifecycle policies exist.\"\"\"\n try:\n s3_client.get_bucket_lifecycle_configuration(Bucket=bucket_name)\n return \"Enabled\"\n except ClientError as e:\n if e.response[\"Error\"][\"Code\"] == \"NoSuchLifecycleConfiguration\":\n return \"Disabled\"\n return \"Error/Forbidden\"\n\n\ndef main():\n get_boto_session()\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"BucketName\",\n \"Region\",\n \"PublicAccessBlockAll\",\n \"Encryption\",\n \"Versioning\",\n \"LifecyclePolicies\",\n ]\n\n filename = \"aws_s3_security_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing S3 for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n s3_global = boto3.client(\"s3\")\n\n # list_buckets is global\n try:\n buckets_resp = s3_global.list_buckets()\n except ClientError as e:\n print(f\" Error listing buckets: {e}\")\n continue\n\n for bucket in buckets_resp.get(\"Buckets\", []):\n bucket_name = bucket[\"Name\"]\n region = get_bucket_region(s3_global, bucket_name)\n\n # For S3, it's often better to use a regional client for bucket-specific configs\n s3_regional = boto3.client(\"s3\", region_name=region)\n\n pab = check_public_access_block(s3_regional, bucket_name)\n encryption = check_encryption(s3_regional, bucket_name)\n versioning = check_versioning(s3_regional, bucket_name)\n lifecycle = check_lifecycle(s3_regional, bucket_name)\n\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"BucketName\": bucket_name,\n \"Region\": region,\n \"PublicAccessBlockAll\": pab,\n \"Encryption\": encryption,\n \"Versioning\": versioning,\n \"LifecyclePolicies\": lifecycle,\n Line truncated
|
||||||
|
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|
||||||
|
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|
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|
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|
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|
||||||
|
"isNewFile": true
|
||||||
|
},
|
||||||
|
"displayName": "WriteFile",
|
||||||
|
"description": "Writes content to a specified file in the local filesystem.\n\n The user has the ability to modify `content`. If modified, this will be stated in the response.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "605b77d8-0667-498b-8a50-37323007d850",
|
||||||
|
"timestamp": "2026-03-10T16:54:53.778Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have created the `s3-security-audit.py` script. It performs a comprehensive audit of all S3 buckets across your AWS Organization, checking for:\n\n* **Public Access Block**: Verifies if all four \"Block Public Access\" settings are enabled at the bucket level.\n* **Default Encryption**: Reports the SSE algorithm used (e.g., AES256, aws:kms) or if it's disabled.\n* **Versioning**: Checks if bucket versioning is Enabled, Suspended, or Disabled.\n* **Lifecycle Policies**: Identifies if the bucket has any lifecycle rules configured.\n* **Multi-Account/Region**: Iterates through all accounts in your specified OUs and correctly identifies the region for each bucket.\n\nThe results are saved to `aws_s3_security_audit.csv` and automatically exported to Google Sheets if your credentials are configured.\n\nWould you like to try running this script now, or shall we look at implementing another tool from the list?",
|
||||||
|
"thoughts": [],
|
||||||
|
"tokens": {
|
||||||
|
"input": 26937,
|
||||||
|
"output": 213,
|
||||||
|
"cached": 17187,
|
||||||
|
"thoughts": 0,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 27150
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "cf1e383e-3b79-454c-a7aa-3eaca09928db",
|
||||||
|
"timestamp": "2026-03-10T17:14:08.856Z",
|
||||||
|
"type": "user",
|
||||||
|
"content": [
|
||||||
|
{
|
||||||
|
"text": "lets do the other security scripts"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "762b3eb7-6dd0-46a5-945b-46ef1ac101b9",
|
||||||
|
"timestamp": "2026-03-10T17:14:20.865Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I will now implement `iam-audit.py`, which will identify IAM users without MFA, inactive users, and stale access keys across all accounts in your organization.",
|
||||||
|
"thoughts": [
|
||||||
|
{
|
||||||
|
"subject": "Evaluating Security Script Goals",
|
||||||
|
"description": "I'm currently focused on the user's request to implement the \"other security scripts\" from my prior proposal. I'm revisiting the proposal, specifically the scripts. I'm prioritizing the `iam-audit.py` script, which will scan for non-MFA users, inactivity, and outdated access keys. I then plan to move on to the security group audit.",
|
||||||
|
"timestamp": "2026-03-10T17:14:12.786Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Considering Script Order and Context",
|
||||||
|
"description": "I've re-examined the request to implement the remaining scripts. Initially, I will go with `iam-audit.py` first, then `security-group-audit.py` then `cloudtrail-audit.py`. Also, I am taking into account that the `iam` script is global and requires only one run per account. The `security-group-audit.py` script, on the other hand, is a regional service.",
|
||||||
|
"timestamp": "2026-03-10T17:14:17.110Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"subject": "Sequencing Script Implementation Steps",
|
||||||
|
"description": "I've reviewed the user's direction and my earlier proposal. I've broken down the implementation plan, focusing on an incremental, one-by-one approach for script creation to enhance quality control. My priority is to start with the `iam-audit.py` script. After that, I will work on `security-group-audit.py`, then `cloudtrail-audit.py`. I'll consider incorporating the `s3-security-audit.py` script I just finished.",
|
||||||
|
"timestamp": "2026-03-10T17:14:17.163Z"
|
||||||
|
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|
||||||
|
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|
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|
||||||
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|
||||||
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||||||
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|
||||||
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"content": "import boto3\nimport csv\nfrom datetime import datetime, timezone\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_user_mfa(iam_client, username):\n \"\"\"Checks if the user has any MFA devices enabled.\"\"\"\n try:\n mfa_devices = iam_client.list_mfa_devices(UserName=username)\n return len(mfa_devices.get(\"MFADevices\", [])) > 0\n except ClientError:\n return \"Error\"\n\n\ndef get_access_keys(iam_client, username):\n \"\"\"Returns information about the user's access keys.\"\"\"\n keys_info = []\n try:\n response = iam_client.list_access_keys(UserName=username)\n for key in response.get(\"AccessKeyMetadata\", []):\n key_id = key[\"AccessKeyId\"]\n status = key[\"Status\"]\n created_date = key[\"CreateDate\"]\n\n # Get last used date\n last_used_resp = iam_client.get_access_key_last_used(AccessKeyId=key_id)\n last_used = last_used_resp.get(\"AccessKeyLastUsed\", {}).get(\"LastUsedDate\")\n\n keys_info.append(\n {\n \"AccessKeyId\": key_id,\n \"Status\": status,\n \"CreatedDate\": created_date.isoformat(),\n \"LastUsedDate\": last_used.isoformat() if last_used else \"Never\",\n }\n )\n except ClientError:\n pass\n return keys_info\n\n\ndef calculate_days_since(dt):\n \"\"\"Calculates days between now and the given datetime.\"\"\"\n if not dt:\n return None\n if isinstance(dt, str):\n try:\n dt = datetime.fromisoformat(dt.replace(\"Z\", \"+00:00\"))\n except ValueError:\n return None\n now = datetime.now(timezone.utc)\n return (now - dt).days\n\n\ndef main():\n get_boto_session()\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"UserName\",\n \"MFAEnabled\",\n \"PasswordLastUsed\",\n \"DaysSinceLastLogin\",\n \"AccessKeyCount\",\n \"OldestKeyDays\",\n \"StaleKeys(90d+)\",\n ]\n\n filename = \"aws_iam_user_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing IAM for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n iam = boto3.client(\"iam\")\n\n paginator = iam.get_paginator(\"list_users\")\n for page in paginator.paginate():\n for user in page[\"Users\"]:\n username = user[\"UserName\"]\n password_last_used = user.get(\"PasswordLastUsed\")\n days_since_login = calculate_days_since(password_last_used)\n\n mfa_enabled = get_user_mfa(iam, username)\n keys = get_access_keys(iam, username)\n\n oldest_key_days = 0\n stale_keys_count = 0\n for key in keys:\n created_dt = datetime.fromisoformat(key[\"CreatedDate\"])\n days = calculate_days_since(created_dt)\n if days > oldest_key_days:\n oldest_key_days = days\n if days > 90:\n stale_keys_count += 1\n\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"UserName\": username,\n \"MFAEnabled\": mfa_enabled,\n \"PasswordLastUsed\": password_last_used.isoformat()\n if password_last_used\n else \"Never\",\n \"DaysSinceLastLogin\": days_since_login\n if days_since_login is not None\n else \"N/A\",\n \"AccessKeyCount\": len(keys),\n \"OldestKeyDays\": oldest_key_days,\n \"StaleKeys(90d+)\": stale_keys_count,\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n except (ClientError, ProfileNotFound) as e:\n print(f\" Error accessing account {account_name}: {e}\")\n\n print(f\"\\nIAM audit complete. Results saved tLine truncated
|
||||||
|
"file_path": "iam-audit.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
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{
|
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"functionResponse": {
|
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"id": "write_file_1773162860861_0",
|
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|
"name": "write_file",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/iam-audit.py. Here is the updated code:\nimport boto3\nimport csv\nfrom datetime import datetime, timezone\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_user_mfa(iam_client, username):\n \"\"\"Checks if the user has any MFA devices enabled.\"\"\"\n try:\n mfa_devices = iam_client.list_mfa_devices(UserName=username)\n return len(mfa_devices.get(\"MFADevices\", [])) > 0\n except ClientError:\n return \"Error\"\n\n\ndef get_access_keys(iam_client, username):\n \"\"\"Returns information about the user's access keys.\"\"\"\n keys_info = []\n try:\n response = iam_client.list_access_keys(UserName=username)\n for key in response.get(\"AccessKeyMetadata\", []):\n key_id = key[\"AccessKeyId\"]\n status = key[\"Status\"]\n created_date = key[\"CreateDate\"]\n\n # Get last used date\n last_used_resp = iam_client.get_access_key_last_used(AccessKeyId=key_id)\n last_used = last_used_resp.get(\"AccessKeyLastUsed\", {}).get(\"LastUsedDate\")\n\n keys_info.append(\n {\n \"AccessKeyId\": key_id,\n \"Status\": status,\n \"CreatedDate\": created_date.isoformat(),\n \"LastUsedDate\": last_used.isoformat() if last_used else \"Never\",\n }\n )\n except ClientError:\n pass\n return keys_info\n\n\ndef calculate_days_since(dt):\n \"\"\"Calculates days between now and the given datetime.\"\"\"\n if not dt:\n return None\n if isinstance(dt, str):\n try:\n dt = datetime.fromisoformat(dt.replace(\"Z\", \"+00:00\"))\n except ValueError:\n return None\n now = datetime.now(timezone.utc)\n return (now - dt).days\n\n\ndef main():\n get_boto_session()\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"UserName\",\n \"MFAEnabled\",\n \"PasswordLastUsed\",\n \"DaysSinceLastLogin\",\n \"AccessKeyCount\",\n \"OldestKeyDays\",\n \"StaleKeys(90d+)\",\n ]\n\n filename = \"aws_iam_user_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing IAM for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n iam = boto3.client(\"iam\")\n\n paginator = iam.get_paginator(\"list_users\")\n for page in paginator.paginate():\n for user in page[\"Users\"]:\n username = user[\"UserName\"]\n password_last_used = user.get(\"PasswordLastUsed\")\n days_since_login = calculate_days_since(password_last_used)\n\n mfa_enabled = get_user_mfa(iam, username)\n keys = get_access_keys(iam, username)\n\n oldest_key_days = 0\n stale_keys_count = 0\n for key in keys:\n created_dt = datetime.fromisoformat(key[\"CreatedDate\"])\n days = calculate_days_since(created_dt)\n if days > oldest_key_days:\n oldest_key_days = days\n if days > 90:\n stale_keys_count += 1\n\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"UserName\": username,\n \"MFAEnabled\": mfa_enabled,\n \"PasswordLastUsed\": password_last_used.isoformat()\n if password_last_used\n else \"Never\",\n \"DaysSinceLastLogin\": days_since_login\n if days_since_login is not None\n else \"N/A\",\n \"AccessKeyCount\": len(keys),\n \"OldestKeyDays\": oldest_key_days,\n \"StaleKeys(90d+)\": stale_keys_count,\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n except (ClientError, ProfileNotFound) as e:\n Line truncated
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-10T17:15:39.093Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: iam-audit.py\n===================================================================\n--- iam-audit.py\tOriginal\n+++ iam-audit.py\tWritten\n@@ -0,0 +1,133 @@\n+import boto3\n+import csv\n+from datetime import datetime, timezone\n+from botocore.exceptions import ClientError, ProfileNotFound\n+from aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n+\n+\n+def get_user_mfa(iam_client, username):\n+ \"\"\"Checks if the user has any MFA devices enabled.\"\"\"\n+ try:\n+ mfa_devices = iam_client.list_mfa_devices(UserName=username)\n+ return len(mfa_devices.get(\"MFADevices\", [])) > 0\n+ except ClientError:\n+ return \"Error\"\n+\n+\n+def get_access_keys(iam_client, username):\n+ \"\"\"Returns information about the user's access keys.\"\"\"\n+ keys_info = []\n+ try:\n+ response = iam_client.list_access_keys(UserName=username)\n+ for key in response.get(\"AccessKeyMetadata\", []):\n+ key_id = key[\"AccessKeyId\"]\n+ status = key[\"Status\"]\n+ created_date = key[\"CreateDate\"]\n+\n+ # Get last used date\n+ last_used_resp = iam_client.get_access_key_last_used(AccessKeyId=key_id)\n+ last_used = last_used_resp.get(\"AccessKeyLastUsed\", {}).get(\"LastUsedDate\")\n+\n+ keys_info.append(\n+ {\n+ \"AccessKeyId\": key_id,\n+ \"Status\": status,\n+ \"CreatedDate\": created_date.isoformat(),\n+ \"LastUsedDate\": last_used.isoformat() if last_used else \"Never\",\n+ }\n+ )\n+ except ClientError:\n+ pass\n+ return keys_info\n+\n+\n+def calculate_days_since(dt):\n+ \"\"\"Calculates days between now and the given datetime.\"\"\"\n+ if not dt:\n+ return None\n+ if isinstance(dt, str):\n+ try:\n+ dt = datetime.fromisoformat(dt.replace(\"Z\", \"+00:00\"))\n+ except ValueError:\n+ return None\n+ now = datetime.now(timezone.utc)\n+ return (now - dt).days\n+\n+\n+def main():\n+ get_boto_session()\n+ rows_for_sheets = []\n+ fieldnames = [\n+ \"AccountName\",\n+ \"AccountID\",\n+ \"UserName\",\n+ \"MFAEnabled\",\n+ \"PasswordLastUsed\",\n+ \"DaysSinceLastLogin\",\n+ \"AccessKeyCount\",\n+ \"OldestKeyDays\",\n+ \"StaleKeys(90d+)\",\n+ ]\n+\n+ filename = \"aws_iam_user_audit.csv\"\n+\n+ with open(filename, mode=\"w\", newline=\"\") as csvfile:\n+ writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n+ writer.writeheader()\n+\n+ for account, profile_name in setup_org_accounts_session():\n+ account_id = account[\"Id\"]\n+ account_name = account[\"Name\"]\n+ print(f\"Auditing IAM for account: {account_name} ({account_id})...\")\n+\n+ try:\n+ boto3.setup_default_session(profile_name=profile_name)\n+ iam = boto3.client(\"iam\")\n+\n+ paginator = iam.get_paginator(\"list_users\")\n+ for page in paginator.paginate():\n+ for user in page[\"Users\"]:\n+ username = user[\"UserName\"]\n+ password_last_used = user.get(\"PasswordLastUsed\")\n+ days_since_login = calculate_days_since(password_last_used)\n+\n+ mfa_enabled = get_user_mfa(iam, username)\n+ keys = get_access_keys(iam, username)\n+\n+ oldest_key_days = 0\n+ stale_keys_count = 0\n+ for key in keys:\n+ created_dt = datetime.fromisoformat(key[\"CreatedDate\"])\n+ days = calculate_days_since(created_dt)\n+ if days > oldest_key_days:\n+ oldest_key_days = days\n+ if days > 90:\n+ stale_keys_count += 1\n+\n+ row = {\n+ \"AccountName\": account_name,\n+ \"AccountID\": account_id,\n+ \"UserName\": username,\n+ \"MFAEnabled\": mfa_enabled,\n+ \"PasswordLastUsed\": password_last_used.isoformat()\n+ if password_last_used\n+ else \"Never\",\n+ \"DaysSinceLastLogin\": days_since_login\n+ if days_since_login is not None\n+ else \"N/A\",\n+ \"AccessKeyCount\": len(keys),\n+ \"OldestKeyDays\": oldest_key_days,\n+ \"StaleKeys(90d+)\": stale_keys_count,\n+ }\n+ Line truncated
|
||||||
|
"fileName": "iam-audit.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/iam-audit.py",
|
||||||
|
"originalContent": "",
|
||||||
|
"newContent": "import boto3\nimport csv\nfrom datetime import datetime, timezone\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_user_mfa(iam_client, username):\n \"\"\"Checks if the user has any MFA devices enabled.\"\"\"\n try:\n mfa_devices = iam_client.list_mfa_devices(UserName=username)\n return len(mfa_devices.get(\"MFADevices\", [])) > 0\n except ClientError:\n return \"Error\"\n\n\ndef get_access_keys(iam_client, username):\n \"\"\"Returns information about the user's access keys.\"\"\"\n keys_info = []\n try:\n response = iam_client.list_access_keys(UserName=username)\n for key in response.get(\"AccessKeyMetadata\", []):\n key_id = key[\"AccessKeyId\"]\n status = key[\"Status\"]\n created_date = key[\"CreateDate\"]\n\n # Get last used date\n last_used_resp = iam_client.get_access_key_last_used(AccessKeyId=key_id)\n last_used = last_used_resp.get(\"AccessKeyLastUsed\", {}).get(\"LastUsedDate\")\n\n keys_info.append(\n {\n \"AccessKeyId\": key_id,\n \"Status\": status,\n \"CreatedDate\": created_date.isoformat(),\n \"LastUsedDate\": last_used.isoformat() if last_used else \"Never\",\n }\n )\n except ClientError:\n pass\n return keys_info\n\n\ndef calculate_days_since(dt):\n \"\"\"Calculates days between now and the given datetime.\"\"\"\n if not dt:\n return None\n if isinstance(dt, str):\n try:\n dt = datetime.fromisoformat(dt.replace(\"Z\", \"+00:00\"))\n except ValueError:\n return None\n now = datetime.now(timezone.utc)\n return (now - dt).days\n\n\ndef main():\n get_boto_session()\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"UserName\",\n \"MFAEnabled\",\n \"PasswordLastUsed\",\n \"DaysSinceLastLogin\",\n \"AccessKeyCount\",\n \"OldestKeyDays\",\n \"StaleKeys(90d+)\",\n ]\n\n filename = \"aws_iam_user_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing IAM for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n iam = boto3.client(\"iam\")\n\n paginator = iam.get_paginator(\"list_users\")\n for page in paginator.paginate():\n for user in page[\"Users\"]:\n username = user[\"UserName\"]\n password_last_used = user.get(\"PasswordLastUsed\")\n days_since_login = calculate_days_since(password_last_used)\n\n mfa_enabled = get_user_mfa(iam, username)\n keys = get_access_keys(iam, username)\n\n oldest_key_days = 0\n stale_keys_count = 0\n for key in keys:\n created_dt = datetime.fromisoformat(key[\"CreatedDate\"])\n days = calculate_days_since(created_dt)\n if days > oldest_key_days:\n oldest_key_days = days\n if days > 90:\n stale_keys_count += 1\n\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"UserName\": username,\n \"MFAEnabled\": mfa_enabled,\n \"PasswordLastUsed\": password_last_used.isoformat()\n if password_last_used\n else \"Never\",\n \"DaysSinceLastLogin\": days_since_login\n if days_since_login is not None\n else \"N/A\",\n \"AccessKeyCount\": len(keys),\n \"OldestKeyDays\": oldest_key_days,\n \"StaleKeys(90d+)\": stale_keys_count,\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n except (ClientError, ProfileNotFound) as e:\n print(f\" Error accessing account {account_name}: {e}\")\n\n print(f\"\\nIAM audit complete. Results saveLine truncated
|
||||||
|
"diffStat": {
|
||||||
|
"model_added_lines": 133,
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|
"model_removed_lines": 0,
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"model_added_chars": 4722,
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},
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|
"isNewFile": true
|
||||||
|
},
|
||||||
|
"displayName": "WriteFile",
|
||||||
|
"description": "Writes content to a specified file in the local filesystem.\n\n The user has the ability to modify `content`. If modified, this will be stated in the response.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "366e5e1b-6888-45dc-921c-49400ecf41bd",
|
||||||
|
"timestamp": "2026-03-10T17:15:47.893Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have implemented `iam-audit.py`. I will now proceed with `security-group-audit.py` to identify permissive firewall rules.",
|
||||||
|
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|
||||||
|
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|
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|
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|
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||||||
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"model": "gemini-3-flash-preview",
|
||||||
|
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|
||||||
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{
|
||||||
|
"id": "write_file_1773162947884_0",
|
||||||
|
"name": "write_file",
|
||||||
|
"args": {
|
||||||
|
"content": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef is_permissive(rule):\n \"\"\"Checks if a rule allows 0.0.0.0/0 or ::/0 access.\"\"\"\n for ip_range in rule.get(\"IpRanges\", []):\n if ip_range.get(\"CidrIp\") == \"0.0.0.0/0\":\n return True\n for ipv6_range in rule.get(\"Ipv6Ranges\", []):\n if ipv6_range.get(\"CidrIpv6\") == \"::/0\":\n return True\n return False\n\n\ndef get_sg_rules(ec2_client):\n \"\"\"List all security group rules that are publicly accessible.\"\"\"\n permissive_rules = []\n try:\n response = ec2_client.describe_security_groups()\n for sg in response.get(\"SecurityGroups\", []):\n sg_id = sg[\"GroupId\"]\n sg_name = sg.get(\"GroupName\", \"N/A\")\n\n for permission in sg.get(\"IpPermissions\", []):\n if is_permissive(permission):\n protocol = permission.get(\"IpProtocol\")\n from_port = permission.get(\"FromPort\", \"All\")\n to_port = permission.get(\"ToPort\", \"All\")\n\n # Handle -1 for all protocols\n if protocol == \"-1\":\n protocol = \"All\"\n\n permissive_rules.append(\n {\n \"GroupId\": sg_id,\n \"GroupName\": sg_name,\n \"Protocol\": protocol,\n \"FromPort\": from_port,\n \"ToPort\": to_port,\n }\n )\n except ClientError:\n pass\n return permissive_rules\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"GroupId\",\n \"GroupName\",\n \"Protocol\",\n \"FromPort\",\n \"ToPort\",\n ]\n\n filename = \"aws_security_group_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing SGs for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n\n for region in regions_to_check:\n try:\n ec2 = boto3.client(\"ec2\", region_name=region)\n rules = get_sg_rules(ec2)\n\n for rule in rules:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"GroupId\": rule[\"GroupId\"],\n \"GroupName\": rule[\"GroupName\"],\n \"Protocol\": rule[\"Protocol\"],\n \"FromPort\": rule[\"FromPort\"],\n \"ToPort\": rule[\"ToPort\"],\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n except ClientError as e:\n print(f\" Error in {region} for {account_name}: {e}\")\n\n except (ClientError, ProfileNotFound) as e:\n print(f\" Error accessing account {account_name}: {e}\")\n\n print(f\"\\nSecurity Group audit complete. Results saved to {filename}.\")\n export_to_sheets(\"aws-security-group-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n main()\n",
|
||||||
|
"file_path": "security-group-audit.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "write_file_1773162947884_0",
|
||||||
|
"name": "write_file",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/security-group-audit.py. Here is the updated code:\nimport boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef is_permissive(rule):\n \"\"\"Checks if a rule allows 0.0.0.0/0 or ::/0 access.\"\"\"\n for ip_range in rule.get(\"IpRanges\", []):\n if ip_range.get(\"CidrIp\") == \"0.0.0.0/0\":\n return True\n for ipv6_range in rule.get(\"Ipv6Ranges\", []):\n if ipv6_range.get(\"CidrIpv6\") == \"::/0\":\n return True\n return False\n\n\ndef get_sg_rules(ec2_client):\n \"\"\"List all security group rules that are publicly accessible.\"\"\"\n permissive_rules = []\n try:\n response = ec2_client.describe_security_groups()\n for sg in response.get(\"SecurityGroups\", []):\n sg_id = sg[\"GroupId\"]\n sg_name = sg.get(\"GroupName\", \"N/A\")\n\n for permission in sg.get(\"IpPermissions\", []):\n if is_permissive(permission):\n protocol = permission.get(\"IpProtocol\")\n from_port = permission.get(\"FromPort\", \"All\")\n to_port = permission.get(\"ToPort\", \"All\")\n\n # Handle -1 for all protocols\n if protocol == \"-1\":\n protocol = \"All\"\n\n permissive_rules.append(\n {\n \"GroupId\": sg_id,\n \"GroupName\": sg_name,\n \"Protocol\": protocol,\n \"FromPort\": from_port,\n \"ToPort\": to_port,\n }\n )\n except ClientError:\n pass\n return permissive_rules\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"GroupId\",\n \"GroupName\",\n \"Protocol\",\n \"FromPort\",\n \"ToPort\",\n ]\n\n filename = \"aws_security_group_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing SGs for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n\n for region in regions_to_check:\n try:\n ec2 = boto3.client(\"ec2\", region_name=region)\n rules = get_sg_rules(ec2)\n\n for rule in rules:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"GroupId\": rule[\"GroupId\"],\n \"GroupName\": rule[\"GroupName\"],\n \"Protocol\": rule[\"Protocol\"],\n \"FromPort\": rule[\"FromPort\"],\n \"ToPort\": rule[\"ToPort\"],\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n except ClientError as e:\n print(f\" Error in {region} for {account_name}: {e}\")\n\n except (ClientError, ProfileNotFound) as e:\n print(f\" Error accessing account {account_name}: {e}\")\n\n print(f\"\\nSecurity Group audit complete. Results saved to {filename}.\")\n export_to_sheets(\"aws-security-group-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n main()\n"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
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|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-10T17:16:12.641Z",
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"fileDiff": "Index: security-group-audit.py\n===================================================================\n--- security-group-audit.py\tOriginal\n+++ security-group-audit.py\tWritten\n@@ -0,0 +1,110 @@\n+import boto3\n+import csv\n+from botocore.exceptions import ClientError, ProfileNotFound\n+from aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n+\n+\n+def is_permissive(rule):\n+ \"\"\"Checks if a rule allows 0.0.0.0/0 or ::/0 access.\"\"\"\n+ for ip_range in rule.get(\"IpRanges\", []):\n+ if ip_range.get(\"CidrIp\") == \"0.0.0.0/0\":\n+ return True\n+ for ipv6_range in rule.get(\"Ipv6Ranges\", []):\n+ if ipv6_range.get(\"CidrIpv6\") == \"::/0\":\n+ return True\n+ return False\n+\n+\n+def get_sg_rules(ec2_client):\n+ \"\"\"List all security group rules that are publicly accessible.\"\"\"\n+ permissive_rules = []\n+ try:\n+ response = ec2_client.describe_security_groups()\n+ for sg in response.get(\"SecurityGroups\", []):\n+ sg_id = sg[\"GroupId\"]\n+ sg_name = sg.get(\"GroupName\", \"N/A\")\n+\n+ for permission in sg.get(\"IpPermissions\", []):\n+ if is_permissive(permission):\n+ protocol = permission.get(\"IpProtocol\")\n+ from_port = permission.get(\"FromPort\", \"All\")\n+ to_port = permission.get(\"ToPort\", \"All\")\n+\n+ # Handle -1 for all protocols\n+ if protocol == \"-1\":\n+ protocol = \"All\"\n+\n+ permissive_rules.append(\n+ {\n+ \"GroupId\": sg_id,\n+ \"GroupName\": sg_name,\n+ \"Protocol\": protocol,\n+ \"FromPort\": from_port,\n+ \"ToPort\": to_port,\n+ }\n+ )\n+ except ClientError:\n+ pass\n+ return permissive_rules\n+\n+\n+def main():\n+ get_boto_session()\n+ regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n+ rows_for_sheets = []\n+ fieldnames = [\n+ \"AccountName\",\n+ \"AccountID\",\n+ \"Region\",\n+ \"GroupId\",\n+ \"GroupName\",\n+ \"Protocol\",\n+ \"FromPort\",\n+ \"ToPort\",\n+ ]\n+\n+ filename = \"aws_security_group_audit.csv\"\n+\n+ with open(filename, mode=\"w\", newline=\"\") as csvfile:\n+ writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n+ writer.writeheader()\n+\n+ for account, profile_name in setup_org_accounts_session():\n+ account_id = account[\"Id\"]\n+ account_name = account[\"Name\"]\n+ print(f\"Auditing SGs for account: {account_name} ({account_id})...\")\n+\n+ try:\n+ boto3.setup_default_session(profile_name=profile_name)\n+\n+ for region in regions_to_check:\n+ try:\n+ ec2 = boto3.client(\"ec2\", region_name=region)\n+ rules = get_sg_rules(ec2)\n+\n+ for rule in rules:\n+ row = {\n+ \"AccountName\": account_name,\n+ \"AccountID\": account_id,\n+ \"Region\": region,\n+ \"GroupId\": rule[\"GroupId\"],\n+ \"GroupName\": rule[\"GroupName\"],\n+ \"Protocol\": rule[\"Protocol\"],\n+ \"FromPort\": rule[\"FromPort\"],\n+ \"ToPort\": rule[\"ToPort\"],\n+ }\n+ writer.writerow(row)\n+ rows_for_sheets.append(list(row.values()))\n+\n+ except ClientError as e:\n+ print(f\" Error in {region} for {account_name}: {e}\")\n+\n+ except (ClientError, ProfileNotFound) as e:\n+ print(f\" Error accessing account {account_name}: {e}\")\n+\n+ print(f\"\\nSecurity Group audit complete. Results saved to {filename}.\")\n+ export_to_sheets(\"aws-security-group-audit\", fieldnames, rows_for_sheets)\n+\n+\n+if __name__ == \"__main__\":\n+ main()\n",
|
||||||
|
"fileName": "security-group-audit.py",
|
||||||
|
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||||||
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||||||
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"newContent": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef is_permissive(rule):\n \"\"\"Checks if a rule allows 0.0.0.0/0 or ::/0 access.\"\"\"\n for ip_range in rule.get(\"IpRanges\", []):\n if ip_range.get(\"CidrIp\") == \"0.0.0.0/0\":\n return True\n for ipv6_range in rule.get(\"Ipv6Ranges\", []):\n if ipv6_range.get(\"CidrIpv6\") == \"::/0\":\n return True\n return False\n\n\ndef get_sg_rules(ec2_client):\n \"\"\"List all security group rules that are publicly accessible.\"\"\"\n permissive_rules = []\n try:\n response = ec2_client.describe_security_groups()\n for sg in response.get(\"SecurityGroups\", []):\n sg_id = sg[\"GroupId\"]\n sg_name = sg.get(\"GroupName\", \"N/A\")\n\n for permission in sg.get(\"IpPermissions\", []):\n if is_permissive(permission):\n protocol = permission.get(\"IpProtocol\")\n from_port = permission.get(\"FromPort\", \"All\")\n to_port = permission.get(\"ToPort\", \"All\")\n\n # Handle -1 for all protocols\n if protocol == \"-1\":\n protocol = \"All\"\n\n permissive_rules.append(\n {\n \"GroupId\": sg_id,\n \"GroupName\": sg_name,\n \"Protocol\": protocol,\n \"FromPort\": from_port,\n \"ToPort\": to_port,\n }\n )\n except ClientError:\n pass\n return permissive_rules\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"GroupId\",\n \"GroupName\",\n \"Protocol\",\n \"FromPort\",\n \"ToPort\",\n ]\n\n filename = \"aws_security_group_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing SGs for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n\n for region in regions_to_check:\n try:\n ec2 = boto3.client(\"ec2\", region_name=region)\n rules = get_sg_rules(ec2)\n\n for rule in rules:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"GroupId\": rule[\"GroupId\"],\n \"GroupName\": rule[\"GroupName\"],\n \"Protocol\": rule[\"Protocol\"],\n \"FromPort\": rule[\"FromPort\"],\n \"ToPort\": rule[\"ToPort\"],\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n except ClientError as e:\n print(f\" Error in {region} for {account_name}: {e}\")\n\n except (ClientError, ProfileNotFound) as e:\n print(f\" Error accessing account {account_name}: {e}\")\n\n print(f\"\\nSecurity Group audit complete. Results saved to {filename}.\")\n export_to_sheets(\"aws-security-group-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n main()\n",
|
||||||
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"displayName": "WriteFile",
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||||||
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"description": "Writes content to a specified file in the local filesystem.\n\n The user has the ability to modify `content`. If modified, this will be stated in the response.",
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|
||||||
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||||||
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{
|
||||||
|
"id": "c7cc165e-18a9-4190-9b77-fffc3537c66f",
|
||||||
|
"timestamp": "2026-03-10T17:16:17.995Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have implemented `security-group-audit.py`. I will now complete the set with `cloudtrail-audit.py` to verify logging status across the organization.",
|
||||||
|
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|
||||||
|
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|
||||||
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||||||
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||||||
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|
||||||
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|
||||||
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{
|
||||||
|
"id": "write_file_1773162977991_0",
|
||||||
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"name": "write_file",
|
||||||
|
"args": {
|
||||||
|
"content": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_trail_status(trail_client, name):\n \"\"\"Checks if the trail is logging correctly.\"\"\"\n try:\n response = trail_client.get_trail_status(Name=name)\n return response.get(\"IsLogging\", False)\n except ClientError:\n return \"Error\"\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"TrailName\",\n \"HomeRegion\",\n \"IsMultiRegion\",\n \"IsLogging\",\n \"KmsKeyId\",\n ]\n\n filename = \"aws_cloudtrail_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing CloudTrail for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n\n for region in regions_to_check:\n try:\n ct = boto3.client(\"cloudtrail\", region_name=region)\n response = ct.describe_trails()\n\n for trail in response.get(\"trailList\", []):\n name = trail[\"Name\"]\n home_region = trail[\"HomeRegion\"]\n is_multi = trail[\"IsMultiRegionTrail\"]\n kms_key = trail.get(\"KmsKeyId\", \"Disabled\")\n is_logging = get_trail_status(ct, trail[\"TrailARN\"])\n\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"TrailName\": name,\n \"HomeRegion\": home_region,\n \"IsMultiRegion\": is_multi,\n \"IsLogging\": is_logging,\n \"KmsKeyId\": kms_key,\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n except ClientError as e:\n print(f\" Error in {region} for {account_name}: {e}\")\n\n except (ClientError, ProfileNotFound) as e:\n print(f\" Error accessing account {account_name}: {e}\")\n\n print(f\"\\nCloudTrail audit complete. Results saved to {filename}.\")\n export_to_sheets(\"aws-cloudtrail-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n main()\n",
|
||||||
|
"file_path": "cloudtrail-audit.py"
|
||||||
|
},
|
||||||
|
"result": [
|
||||||
|
{
|
||||||
|
"functionResponse": {
|
||||||
|
"id": "write_file_1773162977991_0",
|
||||||
|
"name": "write_file",
|
||||||
|
"response": {
|
||||||
|
"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/cloudtrail-audit.py. Here is the updated code:\nimport boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_trail_status(trail_client, name):\n \"\"\"Checks if the trail is logging correctly.\"\"\"\n try:\n response = trail_client.get_trail_status(Name=name)\n return response.get(\"IsLogging\", False)\n except ClientError:\n return \"Error\"\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"TrailName\",\n \"HomeRegion\",\n \"IsMultiRegion\",\n \"IsLogging\",\n \"KmsKeyId\",\n ]\n\n filename = \"aws_cloudtrail_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing CloudTrail for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n\n for region in regions_to_check:\n try:\n ct = boto3.client(\"cloudtrail\", region_name=region)\n response = ct.describe_trails()\n\n for trail in response.get(\"trailList\", []):\n name = trail[\"Name\"]\n home_region = trail[\"HomeRegion\"]\n is_multi = trail[\"IsMultiRegionTrail\"]\n kms_key = trail.get(\"KmsKeyId\", \"Disabled\")\n is_logging = get_trail_status(ct, trail[\"TrailARN\"])\n\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"TrailName\": name,\n \"HomeRegion\": home_region,\n \"IsMultiRegion\": is_multi,\n \"IsLogging\": is_logging,\n \"KmsKeyId\": kms_key,\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n except ClientError as e:\n print(f\" Error in {region} for {account_name}: {e}\")\n\n except (ClientError, ProfileNotFound) as e:\n print(f\" Error accessing account {account_name}: {e}\")\n\n print(f\"\\nCloudTrail audit complete. Results saved to {filename}.\")\n export_to_sheets(\"aws-cloudtrail-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n main()\n"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"status": "success",
|
||||||
|
"timestamp": "2026-03-10T17:16:24.275Z",
|
||||||
|
"resultDisplay": {
|
||||||
|
"fileDiff": "Index: cloudtrail-audit.py\n===================================================================\n--- cloudtrail-audit.py\tOriginal\n+++ cloudtrail-audit.py\tWritten\n@@ -0,0 +1,81 @@\n+import boto3\n+import csv\n+from botocore.exceptions import ClientError, ProfileNotFound\n+from aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n+\n+\n+def get_trail_status(trail_client, name):\n+ \"\"\"Checks if the trail is logging correctly.\"\"\"\n+ try:\n+ response = trail_client.get_trail_status(Name=name)\n+ return response.get(\"IsLogging\", False)\n+ except ClientError:\n+ return \"Error\"\n+\n+\n+def main():\n+ get_boto_session()\n+ regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n+ rows_for_sheets = []\n+ fieldnames = [\n+ \"AccountName\",\n+ \"AccountID\",\n+ \"Region\",\n+ \"TrailName\",\n+ \"HomeRegion\",\n+ \"IsMultiRegion\",\n+ \"IsLogging\",\n+ \"KmsKeyId\",\n+ ]\n+\n+ filename = \"aws_cloudtrail_audit.csv\"\n+\n+ with open(filename, mode=\"w\", newline=\"\") as csvfile:\n+ writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n+ writer.writeheader()\n+\n+ for account, profile_name in setup_org_accounts_session():\n+ account_id = account[\"Id\"]\n+ account_name = account[\"Name\"]\n+ print(f\"Auditing CloudTrail for account: {account_name} ({account_id})...\")\n+\n+ try:\n+ boto3.setup_default_session(profile_name=profile_name)\n+\n+ for region in regions_to_check:\n+ try:\n+ ct = boto3.client(\"cloudtrail\", region_name=region)\n+ response = ct.describe_trails()\n+\n+ for trail in response.get(\"trailList\", []):\n+ name = trail[\"Name\"]\n+ home_region = trail[\"HomeRegion\"]\n+ is_multi = trail[\"IsMultiRegionTrail\"]\n+ kms_key = trail.get(\"KmsKeyId\", \"Disabled\")\n+ is_logging = get_trail_status(ct, trail[\"TrailARN\"])\n+\n+ row = {\n+ \"AccountName\": account_name,\n+ \"AccountID\": account_id,\n+ \"Region\": region,\n+ \"TrailName\": name,\n+ \"HomeRegion\": home_region,\n+ \"IsMultiRegion\": is_multi,\n+ \"IsLogging\": is_logging,\n+ \"KmsKeyId\": kms_key,\n+ }\n+ writer.writerow(row)\n+ rows_for_sheets.append(list(row.values()))\n+\n+ except ClientError as e:\n+ print(f\" Error in {region} for {account_name}: {e}\")\n+\n+ except (ClientError, ProfileNotFound) as e:\n+ print(f\" Error accessing account {account_name}: {e}\")\n+\n+ print(f\"\\nCloudTrail audit complete. Results saved to {filename}.\")\n+ export_to_sheets(\"aws-cloudtrail-audit\", fieldnames, rows_for_sheets)\n+\n+\n+if __name__ == \"__main__\":\n+ main()\n",
|
||||||
|
"fileName": "cloudtrail-audit.py",
|
||||||
|
"filePath": "/Users/bob/git/dxw/aws-stuff/cloudtrail-audit.py",
|
||||||
|
"originalContent": "",
|
||||||
|
"newContent": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_trail_status(trail_client, name):\n \"\"\"Checks if the trail is logging correctly.\"\"\"\n try:\n response = trail_client.get_trail_status(Name=name)\n return response.get(\"IsLogging\", False)\n except ClientError:\n return \"Error\"\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n rows_for_sheets = []\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"TrailName\",\n \"HomeRegion\",\n \"IsMultiRegion\",\n \"IsLogging\",\n \"KmsKeyId\",\n ]\n\n filename = \"aws_cloudtrail_audit.csv\"\n\n with open(filename, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"Auditing CloudTrail for account: {account_name} ({account_id})...\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n\n for region in regions_to_check:\n try:\n ct = boto3.client(\"cloudtrail\", region_name=region)\n response = ct.describe_trails()\n\n for trail in response.get(\"trailList\", []):\n name = trail[\"Name\"]\n home_region = trail[\"HomeRegion\"]\n is_multi = trail[\"IsMultiRegionTrail\"]\n kms_key = trail.get(\"KmsKeyId\", \"Disabled\")\n is_logging = get_trail_status(ct, trail[\"TrailARN\"])\n\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"TrailName\": name,\n \"HomeRegion\": home_region,\n \"IsMultiRegion\": is_multi,\n \"IsLogging\": is_logging,\n \"KmsKeyId\": kms_key,\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n except ClientError as e:\n print(f\" Error in {region} for {account_name}: {e}\")\n\n except (ClientError, ProfileNotFound) as e:\n print(f\" Error accessing account {account_name}: {e}\")\n\n print(f\"\\nCloudTrail audit complete. Results saved to {filename}.\")\n export_to_sheets(\"aws-cloudtrail-audit\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n main()\n",
|
||||||
|
"diffStat": {
|
||||||
|
"model_added_lines": 81,
|
||||||
|
"model_removed_lines": 0,
|
||||||
|
"model_added_chars": 2859,
|
||||||
|
"model_removed_chars": 0,
|
||||||
|
"user_added_lines": 0,
|
||||||
|
"user_removed_lines": 0,
|
||||||
|
"user_added_chars": 0,
|
||||||
|
"user_removed_chars": 0
|
||||||
|
},
|
||||||
|
"isNewFile": true
|
||||||
|
},
|
||||||
|
"displayName": "WriteFile",
|
||||||
|
"description": "Writes content to a specified file in the local filesystem.\n\n The user has the ability to modify `content`. If modified, this will be stated in the response.",
|
||||||
|
"renderOutputAsMarkdown": true
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id": "01aa1a68-1551-405a-bf1f-747c2e9cf727",
|
||||||
|
"timestamp": "2026-03-10T17:16:27.171Z",
|
||||||
|
"type": "gemini",
|
||||||
|
"content": "I have completed the implementation of the requested security scripts:\n\n1. **`iam-audit.py`**: Identifies users without MFA, inactive logins, and stale access keys.\n2. **`security-group-audit.py`**: Flags all security group rules that allow public (`0.0.0.0/0` or `::/0`) access.\n3. **`cloudtrail-audit.py`**: Verifies that CloudTrail is active, multi-region enabled, and properly logging across all accounts.\n\nCombined with the previously created **`s3-security-audit.py`**, you now have a comprehensive set of automated security auditing tools for your AWS Organization. All scripts support multi-account execution, CSV output, and Google Sheets integration.\n\nIs there anything else you'd like to implement or adjust?",
|
||||||
|
"thoughts": [],
|
||||||
|
"tokens": {
|
||||||
|
"input": 33187,
|
||||||
|
"output": 178,
|
||||||
|
"cached": 28376,
|
||||||
|
"thoughts": 0,
|
||||||
|
"tool": 0,
|
||||||
|
"total": 33365
|
||||||
|
},
|
||||||
|
"model": "gemini-3-flash-preview"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"kind": "main",
|
||||||
|
"summary": "Develop new AWS auditing tools."
|
||||||
|
}
|
||||||
File diff suppressed because it is too large.
Load diff
@@ -0,0 +1,737 @@
|
|||||||
|
[
|
||||||
|
{
|
||||||
|
"sessionId": "a4c15690-4f5b-4d42-9cb0-ded73814a54d",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "write a script to summarise a file like ecsv_12_2025.csv sumarise based on linkedaccount",
|
||||||
|
"timestamp": "2026-01-28T16:27:18.968Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "a4c15690-4f5b-4d42-9cb0-ded73814a54d",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "If LinkedAccountId isnt set assume its for the payer account",
|
||||||
|
"timestamp": "2026-01-28T16:36:26.165Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "a4c15690-4f5b-4d42-9cb0-ded73814a54d",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/exit",
|
||||||
|
"timestamp": "2026-01-28T16:55:15.350Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "04a4103e-2b12-4236-8ee4-6b36061a0d17",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "write a script which tells me the average bandwidth usage over the last 12 months for an account. see @bwsuage.py for how we work out bandwidth",
|
||||||
|
"timestamp": "2026-02-11T17:21:40.903Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "98dda359-ba7f-4e3e-9b06-ce55316f5b71",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/resume",
|
||||||
|
"timestamp": "2026-02-11T17:29:47.160Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "98dda359-ba7f-4e3e-9b06-ce55316f5b71",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "also show average cost",
|
||||||
|
"timestamp": "2026-02-11T17:30:10.900Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "ignoring setup.sh commit each script which isnt currently commited. a commit per strip. try and say what the script does as the why for the commit",
|
||||||
|
"timestamp": "2026-02-12T16:17:31.136Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "apart from setup.sh rewrite any scripts not in python to python",
|
||||||
|
"timestamp": "2026-02-12T16:22:11.776Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "there is quite a bit of duplication of code amongst the scripts. refactor it to be better. maybe write some reusable modules or functions. identify common logic patterns. extract them into shared utilities. ensure all existing script functionality is preserved. add unit tests for new modules. verify all scripts still execute correctly post-refactoring. aim for a 20% reduction in code lines.",
|
||||||
|
"timestamp": "2026-02-12T16:24:38.481Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 3,
|
||||||
|
"type": "user",
|
||||||
|
"message": "i hard code some accounts to skip make them settabel by env vars. use the .env pattern to get env vars if set.",
|
||||||
|
"timestamp": "2026-02-12T16:27:28.163Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 4,
|
||||||
|
"type": "user",
|
||||||
|
"message": "remove the deafult ou_ids they will be set from env vars",
|
||||||
|
"timestamp": "2026-02-12T16:32:32.245Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 5,
|
||||||
|
"type": "user",
|
||||||
|
"message": "create and example .env",
|
||||||
|
"timestamp": "2026-02-12T16:33:22.287Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 6,
|
||||||
|
"type": "user",
|
||||||
|
"message": "looking at setup.sh can the login and profile setting be done by the scripts instead",
|
||||||
|
"timestamp": "2026-02-12T16:35:27.720Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 7,
|
||||||
|
"type": "user",
|
||||||
|
"message": "make the defaults and examples more generic. so that we dont leak info about my actual usage.",
|
||||||
|
"timestamp": "2026-02-12T16:41:25.921Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 8,
|
||||||
|
"type": "user",
|
||||||
|
"message": "write a README.md so that anyone else coould run this set of scripts. also maybe write a requirements.txt so people can install the things they need. also suggest the use of virtualenv",
|
||||||
|
"timestamp": "2026-02-12T16:45:37.697Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 9,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python bwsuage.py\nTraceback (most recent call last):\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/credentials.py\", line 2160, in _get_credentials\n response = client.get_role_credentials(**kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/client.py\", line 569, in _api_call\n return self._make_api_call(operation_name, kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/client.py\", line 1023, in _make_api_call\n raise error_class(parsed_response, operation_name)\nbotocore.errorfactory.UnauthorizedException: An error occurred (UnauthorizedException) when calling the GetRoleCredentials operation: Session token not found or invalid\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/Users/bob/git/dxw/aws-stuff/bwsuage.py\", line 68, in <module>\n get_total_bandwidth_report(100.0)\n File \"/Users/bob/git/dxw/aws-stuff/bwsuage.py\", line 6, in get_total_bandwidth_report\n all_accounts = get_account_names()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/aws_utils.py\", line 66, in get_account_names\n if not ensure_sso_login():\n ^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/aws_utils.py\", line 28, in ensure_sso_login\n sts.get_caller_identity()\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/client.py\", line 569, in _api_call\n return self._make_api_call(operation_name, kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/client.py\", line 1005, in _make_api_call\n http, parsed_response = self._make_request(\n ^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/client.py\", line 1029, in _make_request\n return self._endpoint.make_request(operation_model, request_dict)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/endpoint.py\", line 119, in make_request\n return self._send_request(request_dict, operation_model)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/endpoint.py\", line 196, in _send_request\n request = self.create_request(request_dict, operation_model)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/endpoint.py\", line 132, in create_request\n self._event_emitter.emit(\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/hooks.py\", line 412, in emit\n return self._emitter.emit(aliased_event_name, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/hooks.py\", line 256, in emit\n return self._emit(event_name, kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/hooks.py\", line 239, in _emit\n response = handler(**kwargs)\n ^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/signers.py\", line 105, in handler\n return self.sign(operation_name, request)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/signers.py\", line 188, in sign\n auth = self.get_auth_instance(**kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/signers.py\", line 306, in get_auth_instance\n frozen_credentials = credentials.get_frozen_credentials()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/credentials.py\", line 634, in get_frozen_credentials\n self._refresh()\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/credentials.py\", line 522, in _refresh\n self._protected_refresh(is_mandatory=is_mandatory_refresh)\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/credentials.py\", line 538, in _protected_refresh\n metadata = self._refresh_using()\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/bob/git/dxw/aws-stuff/.venv/lib/python3.12/site-packages/botocore/credentials.py\", line 685, in fetch_credentials\n return self._get_cached_credentials()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n FileLine truncated
|
||||||
|
"timestamp": "2026-02-12T16:55:51.938Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 10,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python bwsuage.py\nSession for profile 'dxw.admin' expired or invalid. Attempting SSO login...\nAttempting to open your default browser.\nIf the browser does not open or you wish to use a different device to authorize this request, open the following URL:\n\nhttps://dxw.awsapps.com/start/#/device\n\nThen enter the code:\n\nQBJG-GZMT\nSuccessfully logged into Start URL: https://dxw.awsapps.com/start#/\nSSO login successful.\nError: An error occurred (AccessDeniedException) when calling the GetCostAndUsage operation: User: arn:aws:iam::511700466171:user/dalmatian_admins/dalmatian-bob is not authorized to perform: ce:GetCostAndUsage on resource: arn:aws:ce:us-east-1:511700466171:/GetCostAndUsage with an explicit deny in an identity-based policy: arn:aws:iam::511700466171:policy/iam-mfa-policy-bob",
|
||||||
|
"timestamp": "2026-02-12T16:57:44.079Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 11,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python bwsuage.py\nError: An error occurred (AccessDeniedException) when calling the GetCostAndUsage operation: User: arn:aws:iam::511700466171:user/dalmatian_admins/dalmatian-bob is not authorized to perform: ce:GetCostAndUsage on resource: arn:aws:ce:us-east-1:511700466171:/GetCostAndUsage with an explicit deny in an identity-based policy: arn:aws:iam::511700466171:policy/iam-mfa-policy-bob",
|
||||||
|
"timestamp": "2026-02-12T16:59:00.064Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 12,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python cloudfront.py\n\nIterating through accounts to collect CloudFront data...\n\nTotal distributions found: 0\nCSV file 'cloudfront_distributions_info.csv' generated successfully.",
|
||||||
|
"timestamp": "2026-02-12T17:02:43.120Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 13,
|
||||||
|
"type": "user",
|
||||||
|
"message": "there should be some",
|
||||||
|
"timestamp": "2026-02-12T17:03:09.180Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 14,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python cloudfront.py\n\nIterating through accounts to collect CloudFront data...\nError fetching all accounts in organization: An error occurred (AccessDeniedException) when calling the ListAccounts operation: You don't have permissions to access this resource.",
|
||||||
|
"timestamp": "2026-02-12T17:05:58.300Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 15,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python storage-usage.py\nTraceback (most recent call last):\n File \"/Users/bob/git/dxw/aws-stuff/storage-usage.py\", line 84, in <module>\n get_storage_report(100.0)\n File \"/Users/bob/git/dxw/aws-stuff/storage-usage.py\", line 14, in get_storage_report\n last_day_prev = dt_end - calendar.timedelta(days=1)\n ^^^^^^^^^^^^^^^^^^\n File \"/opt/homebrew/Cellar/python@3.12/3.12.12_2/Frameworks/Python.framework/Versions/3.12/lib/python3.12/calendar.py\", line 56, in __getattr__\n raise AttributeError(f\"module '{__name__}' has no attribute '{name}'\")\nAttributeError: module 'calendar' has no attribute 'timedelta'",
|
||||||
|
"timestamp": "2026-02-12T17:13:35.459Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 16,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python aws-metrics.py\nTraceback (most recent call last):\n File \"/Users/bob/git/dxw/aws-stuff/aws-metrics.py\", line 93, in <module>\n total_ec2_instances += ec2_count\n ^^^^^^^^^^^^^^^^^^^\nNameError: name 'total_ec2_instances' is not defined. Did you mean: 'count_ec2_instances'?",
|
||||||
|
"timestamp": "2026-02-12T17:18:31.869Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 17,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python generate-billing-sheets.py\nStep 1: Mapping account names...\nAn error occurred: An error occurred (AccessDeniedException) when calling the ListAccounts operation: You don't have permissions to access this resource.",
|
||||||
|
"timestamp": "2026-02-12T17:34:38.809Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 18,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python last-2-months-billing.py\nNote: Could not fetch names (An error occurred (AccessDeniedException) when calling the ListAccounts operation: You don't have permissions to access this resource.)\nError: An error occurred (AccessDeniedException) when calling the GetCostAndUsage operation: User: arn:aws:iam::511700466171:user/dalmatian_admins/dalmatian-bob is not authorized to perform: ce:GetCostAndUsage on resource: arn:aws:ce:us-east-1:511700466171:/GetCostAndUsage with an explicit deny in an identity-based policy: arn:aws:iam::511700466171:policy/iam-mfa-policy-bob",
|
||||||
|
"timestamp": "2026-02-12T17:53:31.792Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 19,
|
||||||
|
"type": "user",
|
||||||
|
"message": "$ python service-spend-by-account.py\nEnter 12-digit Account ID: 571543455290\nError: An error occurred (AccessDeniedException) when calling the GetCostAndUsage operation: User: arn:aws:iam::511700466171:user/dalmatian_admins/dalmatian-bob is not authorized to perform: ce:GetCostAndUsage on resource: arn:aws:ce:us-east-1:511700466171:/GetCostAndUsage with an explicit deny in an identity-based policy: arn:aws:iam::511700466171:policy/iam-mfa-policy-bob",
|
||||||
|
"timestamp": "2026-02-12T17:55:54.965Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 20,
|
||||||
|
"type": "user",
|
||||||
|
"message": "write a GEMINI.md for this repo",
|
||||||
|
"timestamp": "2026-02-12T17:57:26.262Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 21,
|
||||||
|
"type": "user",
|
||||||
|
"message": "for scripts which currently output CSVs. also put the output into a google sheet. where the document name should be the <script_name>_<iso8601_date>.",
|
||||||
|
"timestamp": "2026-02-12T18:00:34.744Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 22,
|
||||||
|
"type": "user",
|
||||||
|
"message": "make the location of the google auth files configirable but default to being in the directoty.",
|
||||||
|
"timestamp": "2026-02-12T18:08:08.920Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 23,
|
||||||
|
"type": "user",
|
||||||
|
"message": "add stuff about google auth to the README.md if needed",
|
||||||
|
"timestamp": "2026-02-12T18:10:08.372Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 24,
|
||||||
|
"type": "user",
|
||||||
|
"message": "write a test suite",
|
||||||
|
"timestamp": "2026-02-12T18:11:27.347Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 25,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/help",
|
||||||
|
"timestamp": "2026-02-12T18:14:05.188Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 26,
|
||||||
|
"type": "user",
|
||||||
|
"message": "update GEMINI.md",
|
||||||
|
"timestamp": "2026-02-12T18:15:07.209Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 27,
|
||||||
|
"type": "user",
|
||||||
|
"message": "commit the .gitignore changes",
|
||||||
|
"timestamp": "2026-02-12T18:16:01.857Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 28,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/chat share 2026-02-12.md",
|
||||||
|
"timestamp": "2026-02-12T18:17:15.040Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c4349431-8e3a-4930-afe3-116d9fb491c1",
|
||||||
|
"messageId": 29,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/quit",
|
||||||
|
"timestamp": "2026-02-12T18:18:21.316Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ce6fc1e1-a704-40d5-b64d-373d0b639e6d",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/stats model",
|
||||||
|
"timestamp": "2026-02-12T18:18:58.931Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ce6fc1e1-a704-40d5-b64d-373d0b639e6d",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/model",
|
||||||
|
"timestamp": "2026-02-12T18:19:03.115Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ce6fc1e1-a704-40d5-b64d-373d0b639e6d",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/stats",
|
||||||
|
"timestamp": "2026-02-12T18:19:11.251Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ce6fc1e1-a704-40d5-b64d-373d0b639e6d",
|
||||||
|
"messageId": 3,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/stats model",
|
||||||
|
"timestamp": "2026-02-12T18:19:27.726Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ce6fc1e1-a704-40d5-b64d-373d0b639e6d",
|
||||||
|
"messageId": 4,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/quit",
|
||||||
|
"timestamp": "2026-02-12T18:19:32.752Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c642b0be-f8ca-49ee-92c6-cb68bb937f71",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/model",
|
||||||
|
"timestamp": "2026-02-13T10:40:13.522Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c642b0be-f8ca-49ee-92c6-cb68bb937f71",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "this repo is currently only local. i want to make it remote soon and possibly even public. i do however know that there were some hard coded OU ids checked in previously. Could you find those and maybe other secrerts in the bash history and then do some rebasing to remove them.",
|
||||||
|
"timestamp": "2026-02-13T10:42:01.562Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c642b0be-f8ca-49ee-92c6-cb68bb937f71",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "it would seem that 2026-02-12.md got committed. please rebase to remove it.",
|
||||||
|
"timestamp": "2026-02-13T10:53:56.637Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c642b0be-f8ca-49ee-92c6-cb68bb937f71",
|
||||||
|
"messageId": 3,
|
||||||
|
"type": "user",
|
||||||
|
"message": ".vene also got commited when it shouldnt have been",
|
||||||
|
"timestamp": "2026-02-13T10:55:38.101Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c642b0be-f8ca-49ee-92c6-cb68bb937f71",
|
||||||
|
"messageId": 4,
|
||||||
|
"type": "user",
|
||||||
|
"message": "rmeove setup.sh as well and make sure that nothing mentioned in the current .gitignore has been checked in.",
|
||||||
|
"timestamp": "2026-02-13T10:59:02.908Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c642b0be-f8ca-49ee-92c6-cb68bb937f71",
|
||||||
|
"messageId": 5,
|
||||||
|
"type": "user",
|
||||||
|
"message": "some early commits use bob@randomness.org.uk instead of bob@dxw.com. fix thosew to use bob@dxw.com",
|
||||||
|
"timestamp": "2026-02-13T14:19:05.770Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c642b0be-f8ca-49ee-92c6-cb68bb937f71",
|
||||||
|
"messageId": 6,
|
||||||
|
"type": "user",
|
||||||
|
"message": "remove Gemfile",
|
||||||
|
"timestamp": "2026-02-13T14:29:19.370Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c642b0be-f8ca-49ee-92c6-cb68bb937f71",
|
||||||
|
"messageId": 7,
|
||||||
|
"type": "user",
|
||||||
|
"message": "roll that change back",
|
||||||
|
"timestamp": "2026-02-13T14:30:00.054Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "153fb7df-e3ce-41e9-b9ef-785e8c57d032",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/stats session",
|
||||||
|
"timestamp": "2026-02-13T14:30:54.678Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "153fb7df-e3ce-41e9-b9ef-785e8c57d032",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "since we no longer use ruby. remove the Gemfile",
|
||||||
|
"timestamp": "2026-02-13T14:31:27.581Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "153fb7df-e3ce-41e9-b9ef-785e8c57d032",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "commit thayt change",
|
||||||
|
"timestamp": "2026-02-13T14:32:01.280Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "153fb7df-e3ce-41e9-b9ef-785e8c57d032",
|
||||||
|
"messageId": 3,
|
||||||
|
"type": "user",
|
||||||
|
"message": "this repo is now called aws-utils and is in the dxw git org. https://github.com/dxw/aws-utils update any docs.",
|
||||||
|
"timestamp": "2026-02-13T14:33:20.101Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "153fb7df-e3ce-41e9-b9ef-785e8c57d032",
|
||||||
|
"messageId": 4,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/save",
|
||||||
|
"timestamp": "2026-02-13T14:44:09.236Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "153fb7df-e3ce-41e9-b9ef-785e8c57d032",
|
||||||
|
"messageId": 5,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/help",
|
||||||
|
"timestamp": "2026-02-13T14:44:12.550Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "153fb7df-e3ce-41e9-b9ef-785e8c57d032",
|
||||||
|
"messageId": 6,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/chat share /tmp/today.md",
|
||||||
|
"timestamp": "2026-02-13T14:44:37.610Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "153fb7df-e3ce-41e9-b9ef-785e8c57d032",
|
||||||
|
"messageId": 7,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/settings",
|
||||||
|
"timestamp": "2026-02-16T12:10:12.743Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "f16c4556-b003-4aa4-b7ea-d521966b2ce8",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/settings",
|
||||||
|
"timestamp": "2026-02-16T12:12:22.547Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "f16c4556-b003-4aa4-b7ea-d521966b2ce8",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": ":wq",
|
||||||
|
"timestamp": "2026-02-16T12:12:43.535Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "29e666b2-fb8d-415e-b761-97c2c3430e30",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "from the aws bills is there a way to get the value for each account without tax but the with the amount used for savings plans added in.",
|
||||||
|
"timestamp": "2026-02-17T11:53:39.092Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "762d837c-718f-40f5-b7dc-28bd73a9f6e9",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "the .env exsts now.",
|
||||||
|
"timestamp": "2026-02-17T11:56:37.127Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "762d837c-718f-40f5-b7dc-28bd73a9f6e9",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "for 'dxw hosting - MTVH' my calculation for 2025-12 was '1204.36+351.19-200.71' this came from the bills.",
|
||||||
|
"timestamp": "2026-02-17T12:03:03.940Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "762d837c-718f-40f5-b7dc-28bd73a9f6e9",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "yes",
|
||||||
|
"timestamp": "2026-02-17T12:04:19.593Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ee47b188-d418-463b-a6b6-0aacf4e889cd",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "using @Invoice_EUINGB26_430933.pdf as an example write a script to extract the charges value for each linked account.",
|
||||||
|
"timestamp": "2026-02-17T17:34:01.538Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ee47b188-d418-463b-a6b6-0aacf4e889cd",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "add pypdf to requirements.txt",
|
||||||
|
"timestamp": "2026-02-17T17:35:53.183Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ee47b188-d418-463b-a6b6-0aacf4e889cd",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "make this output csv and create a google sheet. base naem of sheet on the month the inoivce is for \"This VAT Invoice is for the billing period January 1 - January 31, 2026\" so 2026-01 in that example. also put what the exchange rate was. \"AWS Service Charges (1 USD = 0.74671779045 GBP)\" as an example in the invoice you can test with.",
|
||||||
|
"timestamp": "2026-02-17T17:44:30.226Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ee47b188-d418-463b-a6b6-0aacf4e889cd",
|
||||||
|
"messageId": 3,
|
||||||
|
"type": "user",
|
||||||
|
"message": "commit this",
|
||||||
|
"timestamp": "2026-02-17T17:49:52.975Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ee47b188-d418-463b-a6b6-0aacf4e889cd",
|
||||||
|
"messageId": 4,
|
||||||
|
"type": "user",
|
||||||
|
"message": "can we also automate the downlaoding of the invoice from aws",
|
||||||
|
"timestamp": "2026-02-17T17:51:37.835Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ee47b188-d418-463b-a6b6-0aacf4e889cd",
|
||||||
|
"messageId": 5,
|
||||||
|
"type": "user",
|
||||||
|
"message": "I think we can extraxct the data we want using https://docs.aws.amazon.com/aws-cost-management/latest/APIReference/API_invoicing_ListInvoiceSummaries.html we may need to use the SDK for this.",
|
||||||
|
"timestamp": "2026-02-17T18:03:02.768Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ee47b188-d418-463b-a6b6-0aacf4e889cd",
|
||||||
|
"messageId": 6,
|
||||||
|
"type": "user",
|
||||||
|
"message": "write a new script which can hoepfully use the invoice summaries data from the api to get the billing data we want withtout messing with downloading and extracting from the pdf.",
|
||||||
|
"timestamp": "2026-02-17T18:12:37.202Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "497df65e-897c-4ce8-ae2d-8cb05dc5c7b2",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "write a script to get our carbon foot print data for a specified period",
|
||||||
|
"timestamp": "2026-02-25T11:14:51.400Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "1cbd680b-1136-4f4a-a7db-248958cd9661",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/settings",
|
||||||
|
"timestamp": "2026-02-25T17:33:13.527Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "1cbd680b-1136-4f4a-a7db-248958cd9661",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "our AWS carbon footproint data is being exported as a custom data export to an s3 bucket in a parquet format. s3://dxw-carbon/carbon/ is the s3 uri. write a script so i can get yearly data from it (we do our carbon reporting year starting September 1st)",
|
||||||
|
"timestamp": "2026-02-25T17:37:15.001Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "1cbd680b-1136-4f4a-a7db-248958cd9661",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "commit this",
|
||||||
|
"timestamp": "2026-02-25T17:40:13.299Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "1cbd680b-1136-4f4a-a7db-248958cd9661",
|
||||||
|
"messageId": 3,
|
||||||
|
"type": "user",
|
||||||
|
"message": "yes",
|
||||||
|
"timestamp": "2026-02-25T17:40:41.004Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "7bdac19f-40fa-435f-9a88-c8e9f7ace837",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "also creatre a google sheet",
|
||||||
|
"timestamp": "2026-02-25T17:42:31.921Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "7bdac19f-40fa-435f-9a88-c8e9f7ace837",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "yes",
|
||||||
|
"timestamp": "2026-02-25T17:43:14.792Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c9960a12-242c-4ad6-b5c3-f920d39ad7af",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "also put the summary data in the sheet.",
|
||||||
|
"timestamp": "2026-02-25T17:45:39.210Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c9960a12-242c-4ad6-b5c3-f920d39ad7af",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "yes",
|
||||||
|
"timestamp": "2026-02-25T17:46:37.501Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c9960a12-242c-4ad6-b5c3-f920d39ad7af",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "ython3 aws-carbon.py --year 2024 --sheets",
|
||||||
|
"timestamp": "2026-02-25T17:46:59.152Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c9960a12-242c-4ad6-b5c3-f920d39ad7af",
|
||||||
|
"messageId": 3,
|
||||||
|
"type": "user",
|
||||||
|
"message": "python3 aws-carbon.py --year 2024 --sheets",
|
||||||
|
"timestamp": "2026-02-25T17:47:04.065Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "c9960a12-242c-4ad6-b5c3-f920d39ad7af",
|
||||||
|
"messageId": 4,
|
||||||
|
"type": "user",
|
||||||
|
"message": "python3 aws-carbon.py --year 2025 --sheets",
|
||||||
|
"timestamp": "2026-02-25T17:50:18.499Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "e8dc2ec8-7338-4047-af97-c484a89a8b5b",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "make @bwsuage.py create a google sheet",
|
||||||
|
"timestamp": "2026-03-03T11:38:32.388Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "60b239de-65b2-4de3-995b-96bed4d60003",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "make @storage-usage.py create a google sheet",
|
||||||
|
"timestamp": "2026-03-03T11:41:18.952Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "4c0f4b2a-9f2e-42b2-933f-5413cadea81c",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "make @avg_bandwidth_12months.py export to google sheet",
|
||||||
|
"timestamp": "2026-03-03T11:45:28.652Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "609b7b2c-69bb-4be0-b38f-52a058177934",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "when exporting to google sheets can we make it so that the entire org can be a viewer of the sheet.",
|
||||||
|
"timestamp": "2026-03-03T11:49:01.561Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "609ced44-62e0-49bc-8d99-799571e2c68c",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "Warning: Failed to share with domain dxw.com: APIError: [400]: The specified permission role is invalid. Valid values are 'reader', 'commenter', 'writer', 'fileOrganizer', 'organizer', and 'owner'.",
|
||||||
|
"timestamp": "2026-03-03T11:56:31.189Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "b4d0330e-9f58-4a70-b3d6-560b1bb3162d",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "deactivate a venv",
|
||||||
|
"timestamp": "2026-03-03T15:17:44.734Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "2ec84e89-4daa-4314-94cd-87f8b70c129b",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/skills list",
|
||||||
|
"timestamp": "2026-03-10T16:49:05.515Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "2ec84e89-4daa-4314-94cd-87f8b70c129b",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "/skills enable using-superpowers",
|
||||||
|
"timestamp": "2026-03-10T16:50:45.796Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "2ec84e89-4daa-4314-94cd-87f8b70c129b",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "what other tools could we write",
|
||||||
|
"timestamp": "2026-03-10T16:51:32.337Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "2ec84e89-4daa-4314-94cd-87f8b70c129b",
|
||||||
|
"messageId": 3,
|
||||||
|
"type": "user",
|
||||||
|
"message": "lets do the s3-security-audit script",
|
||||||
|
"timestamp": "2026-03-10T16:53:53.902Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "05fbeef7-b697-4ace-b82e-f1d67f9172b5",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "lets do the other security scripts",
|
||||||
|
"timestamp": "2026-03-10T17:14:06.250Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ebaf7b6b-9527-4ff2-be87-bd9398bc4d54",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "think about how we could make these commands more easily runnable and discoverable. also coudl we write more tests",
|
||||||
|
"timestamp": "2026-03-10T17:43:33.454Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "ebaf7b6b-9527-4ff2-be87-bd9398bc4d54",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "we use the scripts/ pattern instead of makefiles",
|
||||||
|
"timestamp": "2026-03-10T17:47:13.887Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "51cafd74-fece-427c-ae1b-902f2ab70170",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "scripts/audit",
|
||||||
|
"timestamp": "2026-03-10T17:56:38.631Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "51cafd74-fece-427c-ae1b-902f2ab70170",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "scripts/audit vpc",
|
||||||
|
"timestamp": "2026-03-10T17:56:54.005Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "51cafd74-fece-427c-ae1b-902f2ab70170",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "refactor and test all the things",
|
||||||
|
"timestamp": "2026-03-10T17:58:01.335Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "51cafd74-fece-427c-ae1b-902f2ab70170",
|
||||||
|
"messageId": 3,
|
||||||
|
"type": "user",
|
||||||
|
"message": "does tests/test_scripts.py need replacing before we delete it.",
|
||||||
|
"timestamp": "2026-03-10T18:02:39.307Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "51cafd74-fece-427c-ae1b-902f2ab70170",
|
||||||
|
"messageId": 4,
|
||||||
|
"type": "user",
|
||||||
|
"message": "carry on",
|
||||||
|
"timestamp": "2026-03-10T18:03:52.180Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "51cafd74-fece-427c-ae1b-902f2ab70170",
|
||||||
|
"messageId": 5,
|
||||||
|
"type": "user",
|
||||||
|
"message": "update @GEMINI.md",
|
||||||
|
"timestamp": "2026-03-10T18:14:01.633Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "34afd34a-fc75-4d47-9343-06a5a942177e",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "write some docs on what each script does",
|
||||||
|
"timestamp": "2026-03-10T18:19:29.980Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "34afd34a-fc75-4d47-9343-06a5a942177e",
|
||||||
|
"messageId": 1,
|
||||||
|
"type": "user",
|
||||||
|
"message": "you suggested there were better tools to build the cli.",
|
||||||
|
"timestamp": "2026-03-10T18:21:50.803Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "34afd34a-fc75-4d47-9343-06a5a942177e",
|
||||||
|
"messageId": 2,
|
||||||
|
"type": "user",
|
||||||
|
"message": "update docs and GEMINI.md",
|
||||||
|
"timestamp": "2026-03-10T18:23:27.697Z"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"sessionId": "75e31340-86e7-4e21-9ddc-2b8c5eee0cca",
|
||||||
|
"messageId": 0,
|
||||||
|
"type": "user",
|
||||||
|
"message": "commit this work",
|
||||||
|
"timestamp": "2026-03-10T18:26:30.493Z"
|
||||||
|
}
|
||||||
|
]
|
||||||
@@ -0,0 +1,5 @@
|
|||||||
|
ython3 aws-carbon.py --year 2024 --sheets
|
||||||
|
python3 aws-carbon.py --year 2024 --sheets
|
||||||
|
python3 aws-carbon.py --year 2025 --sheets
|
||||||
|
scripts/audit
|
||||||
|
scripts/audit vpc
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"error": "MCP tool 'get_vulnerability_details' must be requested with its server prefix (e.g., 'osvScanner__get_vulnerability_details') in agent 'generalist'."
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "Directory listing for /Users/bob/git/dxw/aws-stuff:\n[DIR] .ruff_cache\n[DIR] tests\n.env.example (451 bytes)\n.gitignore (76 bytes)\navg_bandwidth_12months.py (4145 bytes)\naws_bills_breakdown.py (3184 bytes)\naws_bills_refined.py (2450 bytes)\naws_bills.py (2964 bytes)\naws_cost.py (2649 bytes)\naws_utils.py (10760 bytes)\naws-asg-lt-ami.py (6715 bytes)\naws-carbon.py (6537 bytes)\naws-ec2-ami.py (4290 bytes)\naws-ips.py (5612 bytes)\naws-metrics.py (5042 bytes)\naws-vpc.py (3098 bytes)\nbwsuage.py (3116 bytes)\ncloudfront.py (3073 bytes)\ncloudtrail-audit.py (2940 bytes)\ndownload_invoice.py (3168 bytes)\nec2_price.py (1491 bytes)\nextract_billing_api.py (3574 bytes)\nextract_invoice_charges.py (5401 bytes)\nGEMINI.md (2922 bytes)\ngenerate-billing-sheets.py (6047 bytes)\niam-audit.py (4855 bytes)\ninspect_billing.py (1398 bytes)\ninspect_mtvh.py (1981 bytes)\nlast-2-months-billing.py (2367 bytes)\nlist_rds_instances.py (1490 bytes)\nlist_services.py (671 bytes)\nnot_running_latest.py (1761 bytes)\nrds_price.py (1396 bytes)\nREADME.md (3830 bytes)\nrequirements.txt (116 bytes)\ns3-security-audit.py (5162 bytes)\nsecurity-group-audit.py (3866 bytes)\nservice-spend-by-account.py (2449 bytes)\nstorage-usage.py (3796 bytes)\nsummarize-ecsv.py (3834 bytes)\ntest_invoice_api.py (2954 bytes)\ntest.py (1985 bytes)\n\n(31 ignored)"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "Directory listing for /Users/bob/git/dxw/aws-stuff/tests:\n__init__.py (0 bytes)\ntest_aws_utils.py (7304 bytes)\ntest_scripts.py (2279 bytes)"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import boto3\nimport json\nimport os\nimport subprocess\nimport time\nfrom datetime import datetime, date\nfrom dateutil.relativedelta import relativedelta\n\n# Attempt to load .env file if python-dotenv is installed\ntry:\n from dotenv import load_dotenv\n\n load_dotenv()\nexcept ImportError:\n pass\n\n\n# --- GOOGLE SHEETS CONFIG ---\ndef get_google_client_secret_file():\n return os.getenv(\"GOOGLE_CLIENT_SECRET_FILE\", \"client_secret.json\")\n\n\ndef get_google_authorized_user_file():\n return os.getenv(\"GOOGLE_AUTHORIZED_USER_FILE\", \"authorized_user.json\")\n\n\nSCOPES = [\n \"https://www.googleapis.com/auth/spreadsheets\",\n \"https://www.googleapis.com/auth/drive\",\n]\n\n\ndef get_google_auth():\n \"\"\"Authenticates with Google Sheets API.\"\"\"\n import gspread\n from google_auth_oauthlib.flow import InstalledAppFlow\n from google.auth.transport.requests import Request\n from google.oauth2.credentials import Credentials\n\n creds = None\n auth_user_file = get_google_authorized_user_file()\n client_secret_file = get_google_client_secret_file()\n\n if os.path.exists(auth_user_file):\n creds = Credentials.from_authorized_user_file(auth_user_file, SCOPES)\n\n if not creds or not creds.valid:\n if creds and creds.expired and creds.refresh_token:\n creds.refresh(Request())\n else:\n if not os.path.exists(client_secret_file):\n print(\n f\"Warning: {client_secret_file} not found. Google Sheets export will be skipped.\"\n )\n return None\n flow = InstalledAppFlow.from_client_secrets_file(client_secret_file, SCOPES)\n creds = flow.run_local_server(port=0)\n with open(auth_user_file, \"w\") as token:\n token.write(creds.to_json())\n\n return gspread.authorize(creds)\n\n\ndef export_to_sheets(title, headers, rows):\n \"\"\"\n Creates a Google Sheet and populates it with headers and rows.\n Title will be appended with ISO8601 date.\n \"\"\"\n gc = get_google_auth()\n if not gc:\n return None\n\n full_title = f\"{title}_{date.today().isoformat()}\"\n print(f\"Exporting to Google Sheet: {full_title}...\")\n\n try:\n sh = gc.create(full_title)\n\n # Share with domain if configured\n org_domain = os.getenv(\"GOOGLE_ORGANIZATION_DOMAIN\")\n if org_domain:\n try:\n print(f\"Sharing with organization domain: {org_domain}...\")\n sh.share(org_domain, perm_type=\"domain\", role=\"reader\")\n except Exception as share_error:\n print(\n f\"Warning: Failed to share with domain {org_domain}: {share_error}\"\n )\n\n ws = sh.get_worksheet(0)\n ws.update_title(\"Data\")\n\n # Prepare data: headers + rows\n data = [headers] + rows\n ws.update(data)\n\n # Basic formatting\n ws.format(\"A1:Z1\", {\"textFormat\": {\"bold\": True}})\n ws.freeze(rows=1)\n\n print(f\"Successfully exported to: {sh.url}\")\n return sh.url\n except Exception as e:\n print(f\"Error exporting to Google Sheets: {e}\")\n return None\n\n\ndef get_boto_session():\n \"\"\"\n Returns a boto3 session for the parent profile.\n Ensures SSO login is valid and unsets conflicting env vars.\n \"\"\"\n ensure_sso_login()\n parent_profile = os.getenv(\"AWS_PARENT_PROFILE\", \"default\")\n\n # Unset env vars that would override the profile\n for var in [\"AWS_ACCESS_KEY_ID\", \"AWS_SECRET_ACCESS_KEY\", \"AWS_SESSION_TOKEN\"]:\n if var in os.environ:\n del os.environ[var]\n\n os.environ[\"AWS_PROFILE\"] = parent_profile\n return boto3.Session(profile_name=parent_profile)\n\n\ndef ensure_sso_login():\n \"\"\"\n Checks if the current session has valid credentials.\n If not, attempts to run 'aws sso login'.\n Uses AWS_PARENT_PROFILE from env or defaults to 'default'.\n \"\"\"\n parent_profile = os.getenv(\"AWS_PARENT_PROFILE\", \"default\")\n\n # We create a temporary session to check credentials\n session = boto3.Session(profile_name=parent_profile)\n\n try:\n # Check if we can get an identity (indicates valid session)\n sts = session.client(\"sts\")\n sts.get_caller_identity()\n except Exception:\n print(\n f\"Session for profile '{parent_profile}' expired or invalid. Attempting SSO login...\"\n )\n try:\n # We use subprocess to call the CLI for login as it handles the browser flow\n subprocess.run(\n [\"aws\", \"sso\", \"login\", \"--profile\", parent_profile], check=True\n )\n print(\"SSO login successful.\")\n except subprocess.CalledProcessError:\n print(\"Error: 'aws sso login' failed. Please login manuLine truncated
|
||||||
|
}
|
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+3
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|
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|
{
|
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|
"output": "import boto3\nfrom aws_utils import get_account_names, get_last_n_months_ranges, get_boto_session\n\n\ndef get_cost_for_range(ce_client, start_date, end_date, account_costs):\n \"\"\"Fetches costs for a date range and updates account_costs dictionary.\"\"\"\n try:\n response = ce_client.get_cost_and_usage(\n TimePeriod={\"Start\": start_date, \"End\": end_date},\n Granularity=\"MONTHLY\",\n Metrics=[\"UnblendedCost\", \"AmortizedCost\"],\n GroupBy=[{\"Type\": \"DIMENSION\", \"Key\": \"LINKED_ACCOUNT\"}],\n )\n\n for result in response[\"ResultsByTime\"]:\n for group in result[\"Groups\"]:\n account_id = group[\"Keys\"][0]\n unblended = float(group[\"Metrics\"][\"UnblendedCost\"][\"Amount\"])\n amortized = float(group[\"Metrics\"][\"AmortizedCost\"][\"Amount\"])\n\n if account_id not in account_costs:\n account_costs[account_id] = {\"unblended\": [], \"amortized\": []}\n\n account_costs[account_id][\"unblended\"].append(unblended)\n account_costs[account_id][\"amortized\"].append(amortized)\n except Exception as e:\n print(f\"Error fetching cost for range {start_date} to {end_date}: {e}\")\n\n\ndef main():\n session = get_boto_session()\n ce_client = session.client(\"ce\")\n account_names = get_account_names()\n account_costs = {}\n\n ranges = get_last_n_months_ranges(3)\n months_labels = [r[2] for r in ranges]\n\n for start_date, end_date, _ in ranges:\n get_cost_for_range(ce_client, start_date, end_date, account_costs)\n\n # Sort accounts by the most recent month's amortized cost\n sorted_accounts = sorted(\n account_costs.items(),\n key=lambda item: item[1][\"amortized\"][0] if item[1][\"amortized\"] else 0,\n reverse=True,\n )\n\n print(\n f\"\\nAWS Costs for the last 3 months (Amortized and Unblended, sorted by highest Amortized Cost in {months_labels[0]}):\"\n )\n header = f\"{'Account Name':<30} {' ' + months_labels[0] + ' (Amort)':<15} {' ' + months_labels[1] + ' (Amort)':<15} {' ' + months_labels[2] + ' (Amort)':<15} {' ' + months_labels[0] + ' (Unbl)':<15} {' ' + months_labels[1] + ' (Unbl)':<15} {' ' + months_labels[2] + ' (Unbl)':<15}\"\n print(header)\n print(\"-\" * 125)\n\n for account_id, costs in sorted_accounts:\n name = account_names.get(account_id, f\"Unknown ({account_id})\")\n\n # Ensure we have 3 months of data\n amortized = costs[\"amortized\"] + [0.0] * (3 - len(costs[\"amortized\"]))\n unblended = costs[\"unblended\"] + [0.0] * (3 - len(costs[\"unblended\"]))\n\n amortized_fmt = [f\"${c:,.2f}\" for c in amortized[:3]]\n unblended_fmt = [f\"${c:,.2f}\" for c in unblended[:3]]\n\n print(\n f\"{name[:30]:<30} {amortized_fmt[0]:>15} {amortized_fmt[1]:>15} {amortized_fmt[2]:>15} {unblended_fmt[0]:>15} {unblended_fmt[1]:>15} {unblended_fmt[2]:>15}\"\n )\n\n\nif __name__ == \"__main__\":\n main()\n"
|
||||||
|
}
|
||||||
+3
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|
|||||||
|
{
|
||||||
|
"output": "import unittest\nfrom unittest.mock import patch, MagicMock\nimport os\nimport sys\nimport importlib.util\n\n# Add project root to path\nPROJECT_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), \"..\"))\nsys.path.append(PROJECT_ROOT)\n\n\nclass TestScripts(unittest.TestCase):\n def setUp(self):\n # Patch get_boto_session for all tests to avoid real AWS calls\n self.patcher = patch(\"aws_utils.get_boto_session\")\n self.mock_session = self.patcher.start()\n self.mock_client = MagicMock()\n self.mock_session.return_value.client.return_value = self.mock_client\n\n def tearDown(self):\n self.patcher.stop()\n\n def test_import_bwsuage(self):\n \"\"\"Smoke test to ensure bwsuage.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"bwsuage\", os.path.join(PROJECT_ROOT, \"bwsuage.py\")\n )\n bwsuage = importlib.util.module_from_spec(spec)\n spec.loader.exec_module(bwsuage)\n self.assertTrue(hasattr(bwsuage, \"get_total_bandwidth_report\"))\n\n def test_import_aws_bills(self):\n \"\"\"Smoke test to ensure aws_bills.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"aws_bills\", os.path.join(PROJECT_ROOT, \"aws_bills.py\")\n )\n aws_bills = importlib.util.module_from_spec(spec)\n spec.loader.exec_module(aws_bills)\n self.assertTrue(hasattr(aws_bills, \"get_cost_for_range\"))\n\n def test_import_aws_cost(self):\n \"\"\"Smoke test to ensure aws_cost.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"aws_cost\", os.path.join(PROJECT_ROOT, \"aws_cost.py\")\n )\n aws_cost = importlib.util.module_from_spec(spec)\n spec.loader.exec_module(aws_cost)\n self.assertTrue(hasattr(aws_cost, \"fetch_costs_with_savings\"))\n\n def test_import_aws_vpc(self):\n \"\"\"Smoke test to ensure aws-vpc.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"aws_vpc\", os.path.join(PROJECT_ROOT, \"aws-vpc.py\")\n )\n aws_vpc = importlib.util.module_from_spec(spec)\n spec.loader.exec_module(aws_vpc)\n self.assertTrue(hasattr(aws_vpc, \"list_vpcs\"))\n\n\nif __name__ == \"__main__\":\n unittest.main()\n"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import unittest\nfrom unittest.mock import patch, MagicMock\nimport os\nimport sys\nfrom datetime import date\n\n# Add the project root to sys.path so we can import aws_utils\nsys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), \"..\")))\n\nimport aws_utils\n\n\nclass TestAwsUtils(unittest.TestCase):\n def test_get_previous_month_range(self):\n start, end = aws_utils.get_previous_month_range()\n self.assertTrue(len(start) == 10) # YYYY-MM-DD\n self.assertTrue(len(end) == 10)\n self.assertTrue(start.endswith(\"-01\"))\n self.assertTrue(end.endswith(\"-01\"))\n\n def test_get_last_n_months_ranges(self):\n ranges = aws_utils.get_last_n_months_ranges(3)\n self.assertEqual(len(ranges), 3)\n for start, end, label in ranges:\n self.assertEqual(len(start), 10)\n self.assertEqual(len(end), 10)\n self.assertEqual(len(label), 7) # YYYY-MM\n\n @patch.dict(os.environ, {\"SKIP_ACCOUNTS\": \"123, 456 \"})\n def test_get_skip_accounts(self):\n skipped = aws_utils.get_skip_accounts()\n self.assertEqual(skipped, [\"123\", \"456\"])\n\n @patch.dict(os.environ, {\"SKIP_ACCOUNTS\": \"\"})\n def test_get_skip_accounts_empty(self):\n skipped = aws_utils.get_skip_accounts()\n self.assertEqual(skipped, [])\n\n @patch.dict(os.environ, {\"OU_IDS\": \"ou-1, ou-2\"})\n def test_get_ou_ids(self):\n ous = aws_utils.get_ou_ids()\n self.assertEqual(ous, [\"ou-1\", \"ou-2\"])\n\n @patch.dict(os.environ, {\"OU_IDS\": \"\"})\n def test_get_ou_ids_empty(self):\n ous = aws_utils.get_ou_ids()\n self.assertEqual(ous, [])\n\n @patch(\"aws_utils.get_boto_session\")\n def test_get_account_names(self, mock_get_session):\n # Mock session and client\n mock_session = MagicMock()\n mock_client = MagicMock()\n mock_get_session.return_value = mock_session\n mock_session.client.return_value = mock_client\n\n # Mock pagination\n mock_paginator = MagicMock()\n mock_client.get_paginator.return_value = mock_paginator\n mock_paginator.paginate.return_value = [\n {\n \"Accounts\": [\n {\"Id\": \"111\", \"Name\": \"Acc1\", \"Status\": \"ACTIVE\"},\n {\"Id\": \"222\", \"Name\": \"Acc2\", \"Status\": \"SUSPENDED\"},\n {\"Id\": \"333\", \"Name\": \"Acc3\", \"Status\": \"ACTIVE\"},\n ]\n }\n ]\n\n # Mock skip accounts to be empty for this test\n with patch(\"aws_utils.get_skip_accounts\", return_value=[]):\n accounts = aws_utils.get_account_names()\n\n self.assertEqual(len(accounts), 2)\n self.assertEqual(accounts[\"111\"], \"Acc1\")\n self.assertEqual(accounts[\"333\"], \"Acc3\")\n # Ensure SUSPENDED account is ignored\n self.assertNotIn(\"222\", accounts)\n\n @patch(\"aws_utils.get_boto_session\")\n def test_get_account_names_with_skip(self, mock_get_session):\n mock_session = MagicMock()\n mock_client = MagicMock()\n mock_get_session.return_value = mock_session\n mock_session.client.return_value = mock_client\n\n mock_paginator = MagicMock()\n mock_client.get_paginator.return_value = mock_paginator\n mock_paginator.paginate.return_value = [\n {\n \"Accounts\": [\n {\"Id\": \"111\", \"Name\": \"Acc1\", \"Status\": \"ACTIVE\"},\n {\"Id\": \"222\", \"Name\": \"Acc2\", \"Status\": \"ACTIVE\"},\n ]\n }\n ]\n\n with patch(\"aws_utils.get_skip_accounts\", return_value=[\"222\"]):\n accounts = aws_utils.get_account_names()\n\n self.assertEqual(len(accounts), 1)\n self.assertEqual(accounts[\"111\"], \"Acc1\")\n self.assertNotIn(\"222\", accounts)\n\n @patch(\"aws_utils.get_boto_session\")\n def test_setup_org_accounts_session_explicit_ou(self, mock_get_session):\n mock_session = MagicMock()\n mock_org_client = MagicMock()\n mock_get_session.return_value = mock_session\n mock_session.client.return_value = mock_org_client\n\n mock_paginator = MagicMock()\n mock_org_client.get_paginator.return_value = mock_paginator\n mock_paginator.paginate.return_value = [\n {\"Accounts\": [{\"Id\": \"111\", \"Name\": \"Acc 1\", \"Status\": \"ACTIVE\"}]}\n ]\n\n with patch(\"aws_utils.get_skip_accounts\", return_value=[]):\n # Iterate through generator\n results = list(aws_utils.setup_org_accounts_session(ou_ids=[\"ou-test\"]))\n\n self.assertEqual(len(results), 1)\n account, profile = results[0]\n self.assertEqual(account[\"Id\"], \"111\")\n self.assertEqual(profile, \"Acc-1.admin\") # Checks sanitization of name\n\n @patch(Line truncated
|
||||||
|
}
|
||||||
+3
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|
|||||||
|
{
|
||||||
|
"output": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_vpc_name(tags):\n if tags:\n for tag in tags:\n if tag[\"Key\"] == \"Name\":\n return tag[\"Value\"]\n return \"Unnamed VPC\"\n\n\ndef list_vpcs(ec2_client):\n vpcs_info = []\n paginator = ec2_client.get_paginator(\"describe_vpcs\")\n for page in paginator.paginate():\n for vpc in page[\"Vpcs\"]:\n vpcs_info.append(\n {\n \"VPCName\": get_vpc_name(vpc.get(\"Tags\")),\n \"VPCID\": vpc[\"VpcId\"],\n \"CIDRBlock\": vpc.get(\"CidrBlock\", \"N/A\"),\n }\n )\n return vpcs_info\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n total_vpcs_all_accounts = 0\n rows_for_sheets = []\n\n with open(\"aws_vpcs_by_region.csv\", mode=\"w\", newline=\"\") as csvfile:\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"VPCName\",\n \"VPCID\",\n \"CIDRBlock\",\n ]\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n try:\n boto3.setup_default_session(profile_name=profile_name)\n for region in regions_to_check:\n try:\n ec2_client = boto3.client(\"ec2\", region_name=region)\n vpcs_info = list_vpcs(ec2_client)\n total_vpcs_all_accounts += len(vpcs_info)\n\n for vpc in vpcs_info:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"VPCName\": vpc[\"VPCName\"],\n \"VPCID\": vpc[\"VPCID\"],\n \"CIDRBlock\": vpc[\"CIDRBlock\"],\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n if vpcs_info:\n print(\n f'\"{account_name}\" (ID: {account_id}, Region: {region}) VPCs found: {len(vpcs_info)}'\n )\n except ClientError as e:\n print(f\"Error in {region} for {account_name}: {e}\")\n except (ClientError, ProfileNotFound) as e:\n print(f\"Error accessing account {account_name}: {e}\")\n\n print(f\"\\nTotal number of VPCs found: {total_vpcs_all_accounts}\")\n print(\"CSV file 'aws_vpcs_by_region.csv' generated successfully.\")\n\n # Export to Google Sheets\n export_to_sheets(\"aws-vpc\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n main()\n"
|
||||||
|
}
|
||||||
+3
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|
|||||||
|
{
|
||||||
|
"output": "boto3\npandas\npyarrow\npython-dotenv\npython-dateutil\ngspread\ngoogle-auth-oauthlib\ngoogle-auth-httplib2\npypdf\nrequests\n"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import boto3\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session\n\n\ndef fetch_costs_with_savings(ce_client, org_client, start_date, end_date):\n \"\"\"Fetches costs for EC2 grouped by account and service.\"\"\"\n account_map = get_account_names()\n\n try:\n response = ce_client.get_cost_and_usage(\n TimePeriod={\"Start\": start_date, \"End\": end_date},\n Granularity=\"MONTHLY\",\n Metrics=[\n \"UnblendedCost\",\n \"AmortizedCost\",\n \"NetAmortizedCost\",\n \"NetUnblendedCost\",\n ],\n GroupBy=[\n {\"Type\": \"DIMENSION\", \"Key\": \"LINKED_ACCOUNT\"},\n {\"Type\": \"DIMENSION\", \"Key\": \"SERVICE\"},\n ],\n )\n\n if not response[\"ResultsByTime\"]:\n print(\"No cost data available for the specified period.\")\n return\n\n for result in response[\"ResultsByTime\"]:\n period_start = result[\"TimePeriod\"][\"Start\"]\n print(f\"Billing Period: {period_start}\")\n\n for group in result[\"Groups\"]:\n account_id = group[\"Keys\"][0]\n service = group[\"Keys\"][1]\n\n if \"Amazon Elastic Compute Cloud\" in service:\n metrics = group[\"Metrics\"]\n unblended = metrics[\"UnblendedCost\"][\"Amount\"]\n amortized = metrics[\"AmortizedCost\"][\"Amount\"]\n net_amortized = metrics[\"NetAmortizedCost\"][\"Amount\"]\n net_unblended = metrics[\"NetUnblendedCost\"][\"Amount\"]\n unit = metrics[\"UnblendedCost\"][\"Unit\"]\n\n account_name = account_map.get(account_id, account_id)\n\n print(f\"Account: {account_name} | Service: {service}\")\n print(f\" - Total Cost (Unblended): {unblended} {unit}\")\n print(f\" - Net Cost (Amortized): {net_amortized} {unit}\")\n print(f\" - Net Cost (Unblended): {net_unblended} {unit}\")\n print(f\" - Final Cost (Amortized): {amortized} {unit}\")\n\n except Exception as e:\n print(f\"Error fetching costs: {e}\")\n\n\ndef main():\n session = get_boto_session()\n ce_client = session.client(\"ce\", region_name=\"us-east-1\")\n org_client = session.client(\"organizations\", region_name=\"us-east-1\")\n\n start_date, end_date = get_previous_month_range()\n\n print(\n f\"Fetching AWS EC2 costs with compute savings from {start_date} to {end_date}...\"\n )\n fetch_costs_with_savings(ce_client, org_client, start_date, end_date)\n\n\nif __name__ == \"__main__\":\n main()\n"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import boto3\nfrom aws_utils import get_account_names, get_last_n_months_ranges, get_boto_session\n\n\ndef get_cost_for_range(ce_client, start_date, end_date, account_costs):\n \"\"\"Fetches costs for a date range and updates account_costs dictionary.\"\"\"\n try:\n response = ce_client.get_cost_and_usage(\n TimePeriod={\"Start\": start_date, \"End\": end_date},\n Granularity=\"MONTHLY\",\n Metrics=[\"UnblendedCost\", \"AmortizedCost\"],\n GroupBy=[{\"Type\": \"DIMENSION\", \"Key\": \"LINKED_ACCOUNT\"}],\n )\n\n for result in response[\"ResultsByTime\"]:\n for group in result[\"Groups\"]:\n account_id = group[\"Keys\"][0]\n unblended = float(group[\"Metrics\"][\"UnblendedCost\"][\"Amount\"])\n amortized = float(group[\"Metrics\"][\"AmortizedCost\"][\"Amount\"])\n\n if account_id not in account_costs:\n account_costs[account_id] = {\"unblended\": [], \"amortized\": []}\n\n account_costs[account_id][\"unblended\"].append(unblended)\n account_costs[account_id][\"amortized\"].append(amortized)\n except Exception as e:\n print(f\"Error fetching cost for range {start_date} to {end_date}: {e}\")\n\n\ndef main():\n session = get_boto_session()\n ce_client = session.client(\"ce\")\n account_names = get_account_names()\n account_costs = {}\n\n ranges = get_last_n_months_ranges(3)\n months_labels = [r[2] for r in ranges]\n\n for start_date, end_date, _ in ranges:\n get_cost_for_range(ce_client, start_date, end_date, account_costs)\n\n # Sort accounts by the most recent month's amortized cost\n sorted_accounts = sorted(\n account_costs.items(),\n key=lambda item: item[1][\"amortized\"][0] if item[1][\"amortized\"] else 0,\n reverse=True,\n )\n\n print(\n f\"\\nAWS Costs for the last 3 months (Amortized and Unblended, sorted by highest Amortized Cost in {months_labels[0]}):\"\n )\n header = f\"{'Account Name':<30} {' ' + months_labels[0] + ' (Amort)':<15} {' ' + months_labels[1] + ' (Amort)':<15} {' ' + months_labels[2] + ' (Amort)':<15} {' ' + months_labels[0] + ' (Unbl)':<15} {' ' + months_labels[1] + ' (Unbl)':<15} {' ' + months_labels[2] + ' (Unbl)':<15}\"\n print(header)\n print(\"-\" * 125)\n\n for account_id, costs in sorted_accounts:\n name = account_names.get(account_id, f\"Unknown ({account_id})\")\n\n # Ensure we have 3 months of data\n amortized = costs[\"amortized\"] + [0.0] * (3 - len(costs[\"amortized\"]))\n unblended = costs[\"unblended\"] + [0.0] * (3 - len(costs[\"unblended\"]))\n\n amortized_fmt = [f\"${c:,.2f}\" for c in amortized[:3]]\n unblended_fmt = [f\"${c:,.2f}\" for c in unblended[:3]]\n\n print(\n f\"{name[:30]:<30} {amortized_fmt[0]:>15} {amortized_fmt[1]:>15} {amortized_fmt[2]:>15} {unblended_fmt[0]:>15} {unblended_fmt[1]:>15} {unblended_fmt[2]:>15}\"\n )\n\n\nif __name__ == \"__main__\":\n main()\n"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import boto3\nfrom aws_utils import (\n get_account_names,\n get_previous_month_range,\n get_boto_session,\n export_to_sheets,\n)\n\n\ndef get_total_bandwidth_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client(\"ce\")\n all_accounts = get_account_names()\n if not all_accounts:\n return\n\n start_date, end_date = get_previous_month_range()\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n \"TimePeriod\": {\"Start\": start_date, \"End\": end_date},\n \"Granularity\": \"MONTHLY\",\n \"Metrics\": [\"UsageQuantity\"],\n \"GroupBy\": [\n {\"Type\": \"DIMENSION\", \"Key\": \"LINKED_ACCOUNT\"},\n {\"Type\": \"DIMENSION\", \"Key\": \"USAGE_TYPE\"},\n ],\n }\n if next_token:\n params[\"NextPageToken\"] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response[\"ResultsByTime\"]:\n for group in result[\"Groups\"]:\n acc_id = group[\"Keys\"][0]\n usage_type = group[\"Keys\"][1]\n usage_amount = float(group[\"Metrics\"][\"UsageQuantity\"][\"Amount\"])\n unit = group[\"Metrics\"][\"UsageQuantity\"][\"Unit\"]\n\n if \"DataTransfer\" in usage_type:\n if unit == \"Bytes\":\n usage_amount /= 1024**3\n elif unit in [\"MB\", \"Megabytes\"]:\n usage_amount /= 1024\n\n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get(\"NextPageToken\")\n if not next_token:\n break\n\n print(f\"\\n--- Full Bandwidth Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(\n account_totals.items(),\n key=lambda x: (x[1], all_accounts.get(x[0], x[0])),\n reverse=True,\n )\n\n headers = [\"Account Name\", \"Account ID\", \"Total GB\", \"Overage (>100GB)\"]\n rows = []\n\n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(\n f\"{acc_name[:25]:<25} | {total_usage:>10.2f} GB | {overage:>8.2f} GB {status_icon}\"\n )\n\n rows.append([acc_name, acc_id, round(total_usage, 2), round(overage, 2)])\n\n # Export to Google Sheets\n export_to_sheets(\"AWS_Bandwidth_Usage\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n\n\nif __name__ == \"__main__\":\n get_total_bandwidth_report(100.0)\n"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import boto3\nimport calendar\nfrom datetime import datetime, timedelta\nfrom aws_utils import (\n get_account_names,\n get_previous_month_range,\n get_boto_session,\n export_to_sheets,\n)\n\n\ndef get_storage_report(threshold_gb=100.0):\n session = get_boto_session()\n ce_client = session.client(\"ce\")\n all_accounts = get_account_names()\n start_date, end_date = get_previous_month_range()\n\n # Calculate hours in the previous month for Byte-Hour conversion\n dt_end = datetime.strptime(end_date, \"%Y-%m-%d\")\n last_day_prev = dt_end - timedelta(days=1)\n _, num_days = calendar.monthrange(last_day_prev.year, last_day_prev.month)\n hours_in_month = num_days * 24\n\n account_storage_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n \"TimePeriod\": {\"Start\": start_date, \"End\": end_date},\n \"Granularity\": \"MONTHLY\",\n \"Metrics\": [\"UsageQuantity\"],\n \"GroupBy\": [\n {\"Type\": \"DIMENSION\", \"Key\": \"LINKED_ACCOUNT\"},\n {\"Type\": \"DIMENSION\", \"Key\": \"USAGE_TYPE\"},\n ],\n \"Filter\": {\n \"Dimensions\": {\n \"Key\": \"USAGE_TYPE_GROUP\",\n \"Values\": [\n \"S3: Storage - Standard\",\n \"S3: Storage - Infinite Archive\",\n \"EC2: EBS - Optimized Storage\",\n \"RDS: Storage\",\n \"EFS: Storage - Standard\",\n \"EFS: Storage - IA\",\n \"EFS: Storage - Archive\",\n ],\n }\n },\n }\n if next_token:\n params[\"NextPageToken\"] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response[\"ResultsByTime\"]:\n for group in result[\"Groups\"]:\n acc_id = group[\"Keys\"][0]\n usage_amount = float(group[\"Metrics\"][\"UsageQuantity\"][\"Amount\"])\n unit = group[\"Metrics\"][\"UsageQuantity\"][\"Unit\"]\n\n if unit == \"ByteHrs\":\n usage_amount = (usage_amount / (1024**3)) / hours_in_month\n elif unit in [\"MB-Mo\", \"Megabyte-Months\"]:\n usage_amount /= 1024\n\n if acc_id in account_storage_totals:\n account_storage_totals[acc_id] += usage_amount\n\n next_token = response.get(\"NextPageToken\")\n if not next_token:\n break\n\n print(f\"\\n--- Storage Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Storage (GB)':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n rows = []\n sorted_accounts = sorted(\n account_storage_totals.items(), key=lambda x: x[1], reverse=True\n )\n for acc_id, total_gb in sorted_accounts:\n acc_name = all_accounts.get(acc_id, acc_id)\n overage = max(0, total_gb - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(\n f\"{acc_name[:25]:<25} | {total_gb:>10.2f} GB | {overage:>8.2f} GB {status_icon}\"\n )\n rows.append([acc_name, acc_id, round(total_gb, 2), round(overage, 2)])\n\n headers = [\n \"Account Name\",\n \"Account ID\",\n f\"Storage GB ({start_date})\",\n \"Overage (>100GB)\",\n ]\n export_to_sheets(\"AWS_Storage_Usage\", headers, rows)\n\n except Exception as e:\n print(f\"Error: {e}\")\n\n\nif __name__ == \"__main__\":\n get_storage_report(100.0)\n"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import unittest\nfrom unittest.mock import patch, MagicMock\nimport os\nimport sys\nimport importlib.util\n\n# Add project root to path\nPROJECT_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), \"..\"))\nsys.path.append(PROJECT_ROOT)\n\n\nclass TestScripts(unittest.TestCase):\n def setUp(self):\n # Patch get_boto_session for all tests to avoid real AWS calls\n self.patcher = patch(\"aws_utils.get_boto_session\")\n self.mock_session = self.patcher.start()\n self.mock_client = MagicMock()\n self.mock_session.return_value.client.return_value = self.mock_client\n\n def tearDown(self):\n self.patcher.stop()\n\n def test_import_bwsuage(self):\n \"\"\"Smoke test to ensure bwsuage.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"bwsuage\", os.path.join(PROJECT_ROOT, \"bwsuage.py\")\n )\n bwsuage = importlib.util.module_from_spec(spec)\n spec.loader.exec_module(bwsuage)\n self.assertTrue(hasattr(bwsuage, \"get_total_bandwidth_report\"))\n\n def test_import_aws_bills(self):\n \"\"\"Smoke test to ensure aws_bills.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"aws_bills\", os.path.join(PROJECT_ROOT, \"aws_bills.py\")\n )\n aws_bills = importlib.util.module_from_spec(spec)\n spec.loader.exec_module(aws_bills)\n self.assertTrue(hasattr(aws_bills, \"get_cost_for_range\"))\n\n def test_import_aws_cost(self):\n \"\"\"Smoke test to ensure aws_cost.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"aws_cost\", os.path.join(PROJECT_ROOT, \"aws_cost.py\")\n )\n aws_cost = importlib.util.module_from_spec(spec)\n spec.loader.exec_module(aws_cost)\n self.assertTrue(hasattr(aws_cost, \"fetch_costs_with_savings\"))\n\n def test_import_aws_vpc(self):\n \"\"\"Smoke test to ensure aws-vpc.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"aws_vpc\", os.path.join(PROJECT_ROOT, \"aws-vpc.py\")\n )\n aws_vpc = importlib.util.module_from_spec(spec)\n spec.loader.exec_module(aws_vpc)\n self.assertTrue(hasattr(aws_vpc, \"list_vpcs\"))\n\n\nif __name__ == \"__main__\":\n unittest.main()\n"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import boto3\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session\n\n\ndef list_rds_instances(rds_client):\n instance_names = []\n paginator = rds_client.get_paginator(\"describe_db_instances\")\n for page in paginator.paginate():\n for db_instance in page[\"DBInstances\"]:\n instance_names.append(db_instance[\"DBInstanceIdentifier\"])\n return instance_names\n\n\ndef list_rds_clusters(rds_client):\n cluster_names = []\n paginator = rds_client.get_paginator(\"describe_db_clusters\")\n for page in paginator.paginate():\n for db_cluster in page[\"DBClusters\"]:\n cluster_names.append(db_cluster[\"DBClusterIdentifier\"])\n return cluster_names\n\n\ndef main():\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n try:\n boto3.setup_default_session(profile_name=profile_name)\n rds_client = boto3.client(\"rds\")\n\n names = list_rds_instances(rds_client) + list_rds_clusters(rds_client)\n for name in names:\n print(f'\"{account_name}\":\"{name}\"')\n\n print(f\"Processed account '{account_name}' (ID: {account_id})\")\n except (ClientError, ProfileNotFound) as e:\n print(f\"Error accessing account '{account_name}': {e}\")\n\n print(\"\\nRDS names have been successfully listed for all accounts.\")\n\n\nif __name__ == \"__main__\":\n main()\n"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "#!/usr/bin/env python3\nimport boto3\nimport csv\nimport time\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom collections import defaultdict\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\n# The original script's helper function to get an AMI's human-readable name from its ID\ndef get_ami_name(ec2_client, ami_id):\n if not ami_id:\n return \"N/A - No AMI ID\"\n if not ami_id.startswith(\"ami-\"):\n return f\"Invalid AMI ID format\"\n try:\n image_info = ec2_client.describe_images(ImageIds=[ami_id])[\"Images\"]\n if image_info:\n return image_info[0].get(\"Name\", \"Unnamed AMI\")\n return \"AMI not found\"\n except ClientError as e:\n return f\"AMI not accessible (Error: {e.response['Error']['Code']})\"\n except Exception as e:\n return f\"AMI lookup error: {e}\"\n\n\ndef get_asg_details(account_id, account_name, region, asg_client, ec2_client):\n asg_info_list = []\n paginator = asg_client.get_paginator(\"describe_auto_scaling_groups\")\n try:\n for page in paginator.paginate():\n for asg in page[\"AutoScalingGroups\"]:\n ami_id = \"N/A\"\n template_type = \"None\"\n template_name = \"None\"\n template_version = \"N/A\"\n\n lt_data = asg.get(\"LaunchTemplate\") or asg.get(\n \"MixedInstancesPolicy\", {}\n ).get(\"LaunchTemplate\")\n if lt_data:\n template_type = \"LaunchTemplate\"\n template_id = lt_data.get(\"LaunchTemplateId\")\n template_name = lt_data.get(\"LaunchTemplateName\")\n template_version = lt_data.get(\"Version\") or \"$Default\"\n if template_id or template_name:\n try:\n lt_lookup_args = {\"Versions\": [template_version]}\n if template_id:\n lt_lookup_args[\"LaunchTemplateId\"] = template_id\n elif template_name:\n lt_lookup_args[\"LaunchTemplateName\"] = template_name\n\n lt_versions = ec2_client.describe_launch_template_versions(\n **lt_lookup_args\n )[\"LaunchTemplateVersions\"]\n if lt_versions:\n ami_id = lt_versions[0][\"LaunchTemplateData\"].get(\n \"ImageId\", \"AMI ID not specified in LT\"\n )\n except ClientError as e:\n ami_id = f\"LT lookup error: {e.response['Error']['Code']}\"\n except Exception as e:\n ami_id = f\"LT processing error: {e}\"\n\n elif asg.get(\"LaunchConfigurationName\"):\n lc_name = asg[\"LaunchConfigurationName\"]\n template_type = \"LaunchConfiguration\"\n template_name = lc_name\n template_version = \"Latest\"\n try:\n lc_response = asg_client.describe_launch_configurations(\n LaunchConfigurationNames=[lc_name]\n )[\"LaunchConfigurations\"]\n if lc_response:\n ami_id = lc_response[0].get(\n \"ImageId\", \"AMI ID not specified in LC\"\n )\n except ClientError as e:\n ami_id = f\"LC lookup error: {e.response['Error']['Code']}\"\n except Exception as e:\n ami_id = f\"LC processing error: {e}\"\n\n asg_info_list.append(\n {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"ASG_Name\": asg[\"AutoScalingGroupName\"],\n \"Template_Type\": template_type,\n \"Template_Name\": template_name,\n \"Template_Version\": template_version,\n \"AMI_ID\": ami_id,\n \"AMI_Name\": get_ami_name(ec2_client, ami_id),\n }\n )\n except ClientError as e:\n print(f\" -> Error listing ASGs in {region}: {e}\")\n return asg_info_list\n\n\ndef main():\n get_boto_session()\n all_asg_info = []\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n rows_for_sheets = []\n csv_filepath = \"autoscaling_group_ami_template_info.csv\"\n\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"ASLine truncated
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\n# Function to list public IPs, Private IPs, and Instance IDs\ndef list_ec2_instance_info(ec2_client):\n \"\"\"\n Lists the public IP, private IP, and Instance ID of EC2 instances.\n Returns a list of dictionaries.\n \"\"\"\n instance_info = []\n paginator = ec2_client.get_paginator(\"describe_instances\")\n for page in paginator.paginate():\n for reservation in page[\"Reservations\"]:\n for instance in reservation[\"Instances\"]:\n # Only process if it has a Public IP\n if \"PublicIpAddress\" in instance:\n instance_info.append(\n {\n \"InstanceId\": instance[\"InstanceId\"],\n \"PublicIp\": instance[\"PublicIpAddress\"],\n \"PrivateIp\": instance.get(\"PrivateIpAddress\", \"N/A\"),\n }\n )\n return instance_info\n\n\n# Function to list Elastic IPs (EIPs)\ndef list_elastic_ips(ec2_client):\n elastic_ips = []\n response = ec2_client.describe_addresses()\n for address in response[\"Addresses\"]:\n if \"PublicIp\" in address:\n elastic_ips.append(address[\"PublicIp\"])\n return elastic_ips\n\n\n# Function to list the DNS names of internet-facing ALBs\ndef list_alb_dns_names(elbv2_client):\n alb_dns_names = []\n response = elbv2_client.describe_load_balancers()\n for lb in response[\"LoadBalancers\"]:\n if lb[\"Scheme\"] == \"internet-facing\":\n alb_dns_names.append(lb[\"DNSName\"])\n return alb_dns_names\n\n\ndef main():\n get_boto_session()\n regions_to_check = [\"eu-west-1\", \"eu-west-2\"]\n rows_for_sheets = []\n\n # Open CSV file for writing\n with open(\"aws_external_ips_by_region.csv\", mode=\"w\", newline=\"\") as csvfile:\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"Region\",\n \"Type\",\n \"Instance ID\",\n \"Public IP/DNS Name\",\n \"Private IP\",\n \"Private Hostname\",\n ]\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n # Iterate through active accounts and then through the regions\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n try:\n boto3.setup_default_session(profile_name=profile_name)\n\n for region in regions_to_check:\n try:\n ec2_client = boto3.client(\"ec2\", region_name=region)\n elbv2_client = boto3.client(\"elbv2\", region_name=region)\n\n # Process EC2 Instances\n ec2_info = list_ec2_instance_info(ec2_client)\n for item in ec2_info:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"Type\": \"EC2\",\n \"Instance ID\": item[\"InstanceId\"],\n \"Public IP/DNS Name\": item[\"PublicIp\"],\n \"Private IP\": item[\"PrivateIp\"],\n \"Private Hostname\": \"N/A\",\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n # Process EIPs\n eips = list_elastic_ips(ec2_client)\n for ip in eips:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"Type\": \"EIP\",\n \"Instance ID\": \"N/A\",\n \"Public IP/DNS Name\": ip,\n \"Private IP\": \"N/A\",\n \"Private Hostname\": \"N/A\",\n }\n writer.writerow(row)\n rows_for_sheets.append(list(row.values()))\n\n # Process ALBs\n albs = list_alb_dns_names(elbv2_client)\n for dns in albs:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n Line truncated
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "import boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\n\ndef get_cloudfront_details(account_id, account_name, cloudfront_client):\n \"\"\"\n Lists all CloudFront distributions for the account and determines\n their associated details.\n \"\"\"\n dist_info_list = []\n try:\n paginator = cloudfront_client.get_paginator(\"list_distributions\")\n for page in paginator.paginate():\n if \"DistributionList\" in page and \"Items\" in page[\"DistributionList\"]:\n for dist in page[\"DistributionList\"][\"Items\"]:\n dist_info_list.append(\n {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"ID\": dist[\"Id\"],\n \"DomainName\": dist[\"DomainName\"],\n \"Status\": dist[\"Status\"],\n \"Enabled\": dist[\"Enabled\"],\n \"Comment\": dist.get(\"Comment\", \"N/A\"),\n }\n )\n except ClientError as e:\n print(f\" -> Error listing distributions: {e}\")\n return dist_info_list\n\n\ndef main():\n get_boto_session()\n all_dist_info = []\n rows_for_sheets = []\n csv_filepath = \"cloudfront_distributions_info.csv\"\n fieldnames = [\n \"AccountName\",\n \"AccountID\",\n \"ID\",\n \"DomainName\",\n \"Status\",\n \"Enabled\",\n \"Comment\",\n ]\n\n with open(csv_filepath, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n\n print(\"\\nIterating through accounts to collect CloudFront data...\")\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n print(f\"\\n--- Checking Account: {account_name} (ID: {account_id}) ---\")\n\n try:\n boto3.setup_default_session(profile_name=profile_name)\n cloudfront_client = boto3.client(\"cloudfront\")\n\n dist_data = get_cloudfront_details(\n account_id, account_name, cloudfront_client\n )\n for dist in dist_data:\n all_dist_info.append(dist)\n writer.writerow(dist)\n rows_for_sheets.append(list(dist.values()))\n print(\n f\" [FOUND] ID: {dist['ID']}, Domain: {dist['DomainName']}, Status: {dist['Status']}\"\n )\n except (ClientError, ProfileNotFound) as e:\n print(f\" -> Error setting up session/profile '{profile_name}': {e}\")\n\n print(f\"\\nTotal distributions found: {len(all_dist_info)}\")\n print(f\"CSV file '{csv_filepath}' generated successfully.\")\n export_to_sheets(\"cloudfront-distributions\", fieldnames, rows_for_sheets)\n\n\nif __name__ == \"__main__\":\n main()\n"
|
||||||
|
}
|
||||||
+3
@@ -0,0 +1,3 @@
|
|||||||
|
{
|
||||||
|
"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/audit.py (1 replacements). Here is the updated code:\n...\nimport os\n\n# Audits mapping: command -> (module_name, file_path)\nAUDITS = {\n \"vpc\": (\"audits.vpc\", \"audits/vpc.py\"),\n \"cost\": (\"audits.cost\", \"audits/cost.py\"),\n \"bills\": (\"aws_bills\", \"aws_bills.py\"),\n \"bw\": (\"bwsuage\", \"bwsuage.py\"),\n \"storage\": (\"storage_usage\", \"storage-usage.py\"),\n \"rds\": (\"list_rds_instances\", \"list_rds_instances.py\"),\n \"asg\": (\"aws_asg_lt_ami\", \"aws-asg-lt-ami.py\"),\n..."
|
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|
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|
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{
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"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/audit.py (1 replacements). Here is the updated code:\n...\n\n# Audits mapping: command -> (module_name, file_path)\nAUDITS = {\n \"vpc\": (\"audits.vpc\", \"audits/vpc.py\"),\n \"cost\": (\"audits.cost\", \"audits/cost.py\"),\n \"bills\": (\"audits.bills\", \"audits/bills.py\"),\n \"bw\": (\"bwsuage\", \"bwsuage.py\"),\n \"storage\": (\"storage_usage\", \"storage-usage.py\"),\n \"rds\": (\"list_rds_instances\", \"list_rds_instances.py\"),\n \"asg\": (\"aws_asg_lt_ami\", \"aws-asg-lt-ami.py\"),\n \"ips\": (\"aws_ips\", \"aws-ips.py\"),\n..."
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|
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"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/audit.py (1 replacements). Here is the updated code:\n...\n# Audits mapping: command -> (module_name, file_path)\nAUDITS = {\n \"vpc\": (\"audits.vpc\", \"audits/vpc.py\"),\n \"cost\": (\"audits.cost\", \"audits/cost.py\"),\n \"bills\": (\"audits.bills\", \"audits/bills.py\"),\n \"bw\": (\"audits.bw\", \"audits/bw.py\"),\n \"storage\": (\"storage_usage\", \"storage-usage.py\"),\n \"rds\": (\"list_rds_instances\", \"list_rds_instances.py\"),\n \"asg\": (\"aws_asg_lt_ami\", \"aws-asg-lt-ami.py\"),\n \"ips\": (\"aws_ips\", \"aws-ips.py\"),\n \"cloudfront\": (\"cloudfront\", \"cloudfront.py\"),\n..."
|
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|
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"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/audit.py (1 replacements). Here is the updated code:\n...\nAUDITS = {\n \"vpc\": (\"audits.vpc\", \"audits/vpc.py\"),\n \"cost\": (\"audits.cost\", \"audits/cost.py\"),\n \"bills\": (\"audits.bills\", \"audits/bills.py\"),\n \"bw\": (\"audits.bw\", \"audits/bw.py\"),\n \"storage\": (\"audits.storage\", \"audits/storage.py\"),\n \"rds\": (\"list_rds_instances\", \"list_rds_instances.py\"),\n \"asg\": (\"aws_asg_lt_ami\", \"aws-asg-lt-ami.py\"),\n \"ips\": (\"aws_ips\", \"aws-ips.py\"),\n \"cloudfront\": (\"cloudfront\", \"cloudfront.py\"),\n \"s3\": (\"s3_security_audit\", \"s3-security-audit.py\"),\n..."
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"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/audit.py (1 replacements). Here is the updated code:\n...\n \"vpc\": (\"audits.vpc\", \"audits/vpc.py\"),\n \"cost\": (\"audits.cost\", \"audits/cost.py\"),\n \"bills\": (\"audits.bills\", \"audits/bills.py\"),\n \"bw\": (\"audits.bw\", \"audits/bw.py\"),\n \"storage\": (\"audits.storage\", \"audits/storage.py\"),\n \"rds\": (\"audits.rds\", \"audits/rds.py\"),\n \"asg\": (\"aws_asg_lt_ami\", \"aws-asg-lt-ami.py\"),\n \"ips\": (\"aws_ips\", \"aws-ips.py\"),\n \"cloudfront\": (\"cloudfront\", \"cloudfront.py\"),\n \"s3\": (\"s3_security_audit\", \"s3-security-audit.py\"),\n \"sg\": (\"security_group_audit\", \"security-group-audit.py\"),\n..."
|
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|
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"output": "Successfully modified file: /Users/bob/git/dxw/aws-stuff/audit.py (1 replacements). Here is the updated code:\n...\n \"cost\": (\"audits.cost\", \"audits/cost.py\"),\n \"bills\": (\"audits.bills\", \"audits/bills.py\"),\n \"bw\": (\"audits.bw\", \"audits/bw.py\"),\n \"storage\": (\"audits.storage\", \"audits/storage.py\"),\n \"rds\": (\"audits.rds\", \"audits/rds.py\"),\n \"asg\": (\"audits.asg\", \"audits/asg.py\"),\n \"ips\": (\"aws_ips\", \"aws-ips.py\"),\n \"cloudfront\": (\"cloudfront\", \"cloudfront.py\"),\n \"s3\": (\"s3_security_audit\", \"s3-security-audit.py\"),\n \"sg\": (\"security_group_audit\", \"security-group-audit.py\"),\n \"iam\": (\"iam_audit\", \"iam-audit.py\"),\n..."
|
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|
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|
||||||
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|||||||
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{
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||||||
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"output": "Output: (empty)\nProcess Group PGID: 75742"
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||||||
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"output": "Output: (empty)\nProcess Group PGID: 76074"
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"output": "Output: (empty)\nProcess Group PGID: 76146"
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{
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||||||
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"output": "Output: Running tests...\n./scripts/test: line 10: pytest: command not found\nExit Code: 127\nProcess Group PGID: 76348"
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"output": "Output: Installing dependencies...\n\n[notice] A new release of pip is available: 24.2 -> 26.0.1\n[notice] To update, run: pip install --upgrade pip\n\n[notice] A new release of pip is available: 24.2 -> 26.0.1\n[notice] To update, run: pip install --upgrade pip\nSetup complete.\nRunning tests...\n====================================================== test session starts =======================================================\nplatform darwin -- Python 3.12.13, pytest-9.0.2, pluggy-1.6.0\nrootdir: /Users/bob/git/dxw/aws-stuff\nplugins: anyio-4.12.1\ncollected 18 items \n\ntests/test_aws_utils.py ............ [ 66%]\ntests/test_scripts.py .... [ 88%]\ntests/test_vpc.py .. [100%]\n\n======================================================= 18 passed in 0.14s =======================================================\nProcess Group PGID: 76391"
|
||||||
|
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|
||||||
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|||||||
|
{
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||||||
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"output": "Output: (empty)\nProcess Group PGID: 76621"
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||||||
|
}
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||||||
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|||||||
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{
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||||||
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"output": "Output: (empty)\nProcess Group PGID: 80538"
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||||||
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"output": "Output: Running tests...\n====================================================== test session starts =======================================================\nplatform darwin -- Python 3.12.13, pytest-9.0.2, pluggy-1.6.0\nrootdir: /Users/bob/git/dxw/aws-stuff\nplugins: anyio-4.12.1\ncollected 22 items \n\ntests/test_aws_utils.py ............ [ 54%]\ntests/test_bills.py . [ 59%]\ntests/test_bw.py . [ 63%]\ntests/test_cost.py . [ 68%]\ntests/test_scripts.py FF.F [ 86%]\ntests/test_storage.py . [ 90%]\ntests/test_vpc.py .. [100%]\n\n============================================================ FAILURES ============================================================\n_______________________________________________ TestScripts.test_import_aws_bills ________________________________________________\n\nself = <tests.test_scripts.TestScripts testMethod=test_import_aws_bills>\n\n def test_import_aws_bills(self):\n \"\"\"Smoke test to ensure aws_bills.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"aws_bills\", os.path.join(PROJECT_ROOT, \"aws_bills.py\")\n )\n aws_bills = importlib.util.module_from_spec(spec)\n> spec.loader.exec_module(aws_bills)\n\ntests/test_scripts.py:38: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n<frozen importlib._bootstrap_external>:995: in exec_module\n ???\n<frozen importlib._bootstrap_external>:1132: in get_code\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <_frozen_importlib_external.SourceFileLoader object at 0x107334e00>, path = '/Users/bob/git/dxw/aws-stuff/aws_bills.py'\n\n> ???\nE FileNotFoundError: [Errno 2] No such file or directory: '/Users/bob/git/dxw/aws-stuff/aws_bills.py'\n\n<frozen importlib._bootstrap_external>:1190: FileNotFoundError\n________________________________________________ TestScripts.test_import_aws_cost ________________________________________________\n\nself = <tests.test_scripts.TestScripts testMethod=test_import_aws_cost>\n\n def test_import_aws_cost(self):\n \"\"\"Smoke test to ensure aws_cost.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"aws_cost\", os.path.join(PROJECT_ROOT, \"aws_cost.py\")\n )\n aws_cost = importlib.util.module_from_spec(spec)\n> spec.loader.exec_module(aws_cost)\n\ntests/test_scripts.py:47: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n<frozen importlib._bootstrap_external>:995: in exec_module\n ???\n<frozen importlib._bootstrap_external>:1132: in get_code\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <_frozen_importlib_external.SourceFileLoader object at 0x107337260>, path = '/Users/bob/git/dxw/aws-stuff/aws_cost.py'\n\n> ???\nE FileNotFoundError: [Errno 2] No such file or directory: '/Users/bob/git/dxw/aws-stuff/aws_cost.py'\n\n<frozen importlib._bootstrap_external>:1190: FileNotFoundError\n________________________________________________ TestScripts.test_import_bwsuage _________________________________________________\n\nself = <tests.test_scripts.TestScripts testMethod=test_import_bwsuage>\n\n def test_import_bwsuage(self):\n \"\"\"Smoke test to ensure bwsuage.py can be imported.\"\"\"\n spec = importlib.util.spec_from_file_location(\n \"bwsuage\", os.path.join(PROJECT_ROOT, \"bwsuage.py\")\n )\n bwsuage = importlib.util.module_from_spec(spec)\n> spec.loader.exec_module(bwsuage)\n\ntests/test_scripts.py:29: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n<frozen importlib._bootstrap_external>:995: in exec_module\n ???\n<frozen importlib._bootstrap_external>:1132: in get_code\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _Line truncated
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|
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|
||||||
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|||||||
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{
|
||||||
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"error": "[Operation Cancelled] Reason: User denied execution."
|
||||||
|
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|
||||||
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||||||
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"output": "Output: Running tests...\n====================================================== test session starts =======================================================\nplatform darwin -- Python 3.12.13, pytest-9.0.2, pluggy-1.6.0\nrootdir: /Users/bob/git/dxw/aws-stuff\nplugins: anyio-4.12.1\ncollected 18 items \n\ntests/test_aws_utils.py ............ [ 66%]\ntests/test_bills.py . [ 72%]\ntests/test_bw.py . [ 77%]\ntests/test_cost.py . [ 83%]\ntests/test_storage.py . [ 88%]\ntests/test_vpc.py .. [100%]\n\n======================================================= 18 passed in 0.14s =======================================================\nProcess Group PGID: 81294"
|
||||||
|
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|
||||||
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|||||||
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|
||||||
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"output": "Output: Running tests...\n====================================================== test session starts =======================================================\nplatform darwin -- Python 3.12.13, pytest-9.0.2, pluggy-1.6.0\nrootdir: /Users/bob/git/dxw/aws-stuff\nplugins: anyio-4.12.1\ncollected 20 items \n\ntests/test_asg.py . [ 5%]\ntests/test_aws_utils.py ............ [ 65%]\ntests/test_bills.py . [ 70%]\ntests/test_bw.py . [ 75%]\ntests/test_cost.py . [ 80%]\ntests/test_rds.py . [ 85%]\ntests/test_storage.py . [ 90%]\ntests/test_vpc.py .. [100%]\n\n======================================================= 20 passed in 0.15s =======================================================\nProcess Group PGID: 81383"
|
||||||
|
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|
||||||
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|
|||||||
|
{
|
||||||
|
"output": "Successfully overwrote file: /Users/bob/git/dxw/aws-stuff/scripts/setup. Here is the updated code:\n#!/bin/bash\nset -e\n\n# Create virtual environment if it doesn't exist\nif [ ! -d \".venv\" ]; then\n echo \"Creating virtual environment...\"\n python3 -m venv .venv\nfi\n\n# Activate virtualenv and install dependencies\nsource .venv/bin/activate\necho \"Installing dependencies...\"\npip install --quiet -r requirements.txt\npip install --quiet pytest ruff\n\n# Setup .env if it doesn't exist\nif [ ! -f \".env\" ]; then\n echo \"Copying .env.example to .env...\"\n cp .env.example .env\nfi\n\necho \"Setup complete.\"\n"
|
||||||
|
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|
||||||
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|
|||||||
|
{
|
||||||
|
"output": "Successfully overwrote file: /Users/bob/git/dxw/aws-stuff/scripts/test. Here is the updated code:\n#!/bin/bash\nset -e\n\n# Use current virtualenv if available\nif [ -d \".venv\" ]; then\n source .venv/bin/activate\nfi\n\necho \"Running tests...\"\npytest tests/\n"
|
||||||
|
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|
||||||
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|||||||
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{
|
||||||
|
"output": "Successfully overwrote file: /Users/bob/git/dxw/aws-stuff/scripts/lint. Here is the updated code:\n#!/bin/bash\nset -e\n\n# Use current virtualenv if available\nif [ -d \".venv\" ]; then\n source .venv/bin/activate\nfi\n\necho \"Running linting (ruff)...\"\nruff check .\necho \"Running formatting check (ruff)...\"\nruff format --check .\n"
|
||||||
|
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|
||||||
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|||||||
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|
||||||
|
"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/audits/vpc.py. Here is the updated code:\nimport boto3\nimport csv\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\ndef get_vpc_name(tags):\n if tags:\n for tag in tags:\n if tag[\"Key\"] == \"Name\":\n return tag[\"Value\"]\n return \"Unnamed VPC\"\n\ndef fetch_vpcs(ec2_client):\n \"\"\"\n Fetches VPC information from a single region.\n Returns a list of dicts.\n \"\"\"\n vpcs_info = []\n try:\n paginator = ec2_client.get_paginator(\"describe_vpcs\")\n for page in paginator.paginate():\n for vpc in page[\"Vpcs\"]:\n vpcs_info.append(\n {\n \"VPCName\": get_vpc_name(vpc.get(\"Tags\")),\n \"VPCID\": vpc[\"VpcId\"],\n \"CIDRBlock\": vpc.get(\"CidrBlock\", \"N/A\"),\n }\n )\n except ClientError as e:\n print(f\"Error fetching VPCs: {e}\")\n return vpcs_info\n\ndef get_all_org_vpcs(regions=None):\n \"\"\"\n Iterates through all accounts and regions to gather VPC info.\n Returns a list of rows (dicts) for the report.\n \"\"\"\n if regions is None:\n regions = [\"eu-west-1\", \"eu-west-2\"]\n \n all_rows = []\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n try:\n # We use a session per account\n account_session = boto3.Session(profile_name=profile_name)\n for region in regions:\n try:\n ec2_client = account_session.client(\"ec2\", region_name=region)\n vpcs_info = fetch_vpcs(ec2_client)\n \n for vpc in vpcs_info:\n row = {\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"VPCName\": vpc[\"VPCName\"],\n \"VPCID\": vpc[\"VPCID\"],\n \"CIDRBlock\": vpc[\"CIDRBlock\"],\n }\n all_rows.append(row)\n \n if vpcs_info:\n print(f'\"{account_name}\" ({account_id}, {region}) VPCs found: {len(vpcs_info)}')\n except ClientError as e:\n print(f\"Error in {region} for {account_name}: {e}\")\n except (ClientError, ProfileNotFound) as e:\n print(f\"Error accessing account {account_name}: {e}\")\n \n return all_rows\n\ndef run():\n \"\"\"Main entry point for the VPC audit.\"\"\"\n get_boto_session() # Ensure SSO login\n \n rows = get_all_org_vpcs()\n fieldnames = [\"AccountName\", \"AccountID\", \"Region\", \"VPCName\", \"VPCID\", \"CIDRBlock\"]\n \n # Write to CSV\n output_file = \"aws_vpcs_by_region.csv\"\n with open(output_file, mode=\"w\", newline=\"\") as csvfile:\n writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n writer.writeheader()\n for row in rows:\n writer.writerow(row)\n \n print(f\"\\nTotal number of VPCs found: {len(rows)}\")\n print(f\"CSV file '{output_file}' generated successfully.\")\n \n # Export to Google Sheets\n rows_for_sheets = [list(row.values()) for row in rows]\n export_to_sheets(\"aws-vpc\", fieldnames, rows_for_sheets)\n\nif __name__ == \"__main__\":\n run()\n"
|
||||||
|
}
|
||||||
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|||||||
|
{
|
||||||
|
"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/tests/test_vpc.py. Here is the updated code:\nimport unittest\nfrom unittest.mock import MagicMock, patch\nfrom audits.vpc import fetch_vpcs, get_vpc_name\n\nclass TestVpcAudit(unittest.TestCase):\n def test_get_vpc_name(self):\n tags = [{\"Key\": \"Name\", \"Value\": \"MyVPC\"}]\n self.assertEqual(get_vpc_name(tags), \"MyVPC\")\n \n tags_no_name = [{\"Key\": \"Environment\", \"Value\": \"Prod\"}]\n self.assertEqual(get_vpc_name(tags_no_name), \"Unnamed VPC\")\n \n self.assertEqual(get_vpc_name([]), \"Unnamed VPC\")\n self.assertEqual(get_vpc_name(None), \"Unnamed VPC\")\n\n def test_fetch_vpcs(self):\n # Mock EC2 client and paginator\n mock_ec2 = MagicMock()\n mock_paginator = MagicMock()\n mock_ec2.get_paginator.return_value = mock_paginator\n \n # Mock the response from describe_vpcs\n mock_paginator.paginate.return_value = [\n {\n \"Vpcs\": [\n {\n \"VpcId\": \"vpc-123\",\n \"CidrBlock\": \"10.0.0.0/16\",\n \"Tags\": [{\"Key\": \"Name\", \"Value\": \"TestVPC\"}]\n },\n {\n \"VpcId\": \"vpc-456\",\n \"CidrBlock\": \"192.168.0.0/24\"\n # No Name tag\n }\n ]\n }\n ]\n \n vpcs = fetch_vpcs(mock_ec2)\n \n self.assertEqual(len(vpcs), 2)\n self.assertEqual(vpcs[0][\"VPCName\"], \"TestVPC\")\n self.assertEqual(vpcs[0][\"VPCID\"], \"vpc-123\")\n self.assertEqual(vpcs[0][\"CIDRBlock\"], \"10.0.0.0/16\")\n \n self.assertEqual(vpcs[1][\"VPCName\"], \"Unnamed VPC\")\n self.assertEqual(vpcs[1][\"VPCID\"], \"vpc-456\")\n self.assertEqual(vpcs[1][\"CIDRBlock\"], \"192.168.0.0/24\")\n\nif __name__ == \"__main__\":\n unittest.main()\n"
|
||||||
|
}
|
||||||
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|
|||||||
|
{
|
||||||
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/audit.py. Here is the updated code:\nimport argparse\nimport sys\nimport importlib.util\nimport os\n\n# Audits mapping: command -> (module_name, file_path)\nAUDITS = {\n \"vpc\": (\"audits.vpc\", \"audits/vpc.py\"),\n \"cost\": (\"aws_cost\", \"aws_cost.py\"),\n \"bills\": (\"aws_bills\", \"aws_bills.py\"),\n \"bw\": (\"bwsuage\", \"bwsuage.py\"),\n \"storage\": (\"storage_usage\", \"storage-usage.py\"),\n \"rds\": (\"list_rds_instances\", \"list_rds_instances.py\"),\n \"asg\": (\"aws_asg_lt_ami\", \"aws-asg-lt-ami.py\"),\n \"ips\": (\"aws_ips\", \"aws-ips.py\"),\n \"cloudfront\": (\"cloudfront\", \"cloudfront.py\"),\n \"s3\": (\"s3_security_audit\", \"s3-security-audit.py\"),\n \"sg\": (\"security_group_audit\", \"security-group-audit.py\"),\n \"iam\": (\"iam_audit\", \"iam-audit.py\"),\n \"carbon\": (\"aws_carbon\", \"aws-carbon.py\"),\n \"metrics\": (\"aws_metrics\", \"aws-metrics.py\"),\n}\n\ndef run_audit(name):\n if name not in AUDITS:\n print(f\"Error: Unknown audit '{name}'\")\n print_usage()\n sys.exit(1)\n \n module_name, file_path = AUDITS[name]\n \n if not os.path.exists(file_path):\n print(f\"Error: File not found for audit '{name}': {file_path}\")\n sys.exit(1)\n \n print(f\"Running audit: {name}...\")\n \n # Import and run the module\n spec = importlib.util.spec_from_file_location(module_name, file_path)\n module = importlib.util.module_from_spec(spec)\n sys.modules[module_name] = module\n spec.loader.exec_module(module)\n \n # Check if there's a 'run' or 'main' function\n if hasattr(module, \"run\"):\n module.run()\n elif hasattr(module, \"main\"):\n module.main()\n else:\n print(f\"Error: Audit '{name}' (in {file_path}) does not have a run() or main() function.\")\n sys.exit(1)\n\ndef print_usage():\n print(\"\\nAvailable audits:\")\n for name in sorted(AUDITS.keys()):\n print(f\" - {name}\")\n\ndef main():\n parser = argparse.ArgumentParser(description=\"AWS Organization Audit CLI\")\n parser.add_argument(\"audit\", nargs=\"?\", help=\"Name of the audit to run\")\n parser.add_argument(\"--list\", action=\"store_true\", help=\"List available audits\")\n \n args = parser.parse_args()\n \n if args.list or not args.audit:\n print_usage()\n return\n \n run_audit(args.audit)\n\nif __name__ == \"__main__\":\n main()\n"
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/scripts/audit. Here is the updated code:\n#!/bin/bash\nset -e\n\n# Use current virtualenv if available\nif [ -d \".venv\" ]; then\n source .venv/bin/activate\nfi\n\npython3 audit.py \"$@\"\n"
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/audits/cost.py. Here is the updated code:\nimport boto3\nfrom botocore.exceptions import ClientError\nfrom aws_utils import get_account_names, get_previous_month_range, get_boto_session\n\ndef fetch_costs_with_savings(ce_client, start_date, end_date, account_map):\n \"\"\"\n Fetches EC2 costs grouped by account and service.\n Returns a list of dicts with cost details.\n \"\"\"\n results = []\n try:\n response = ce_client.get_cost_and_usage(\n TimePeriod={\"Start\": start_date, \"End\": end_date},\n Granularity=\"MONTHLY\",\n Metrics=[\n \"UnblendedCost\",\n \"AmortizedCost\",\n \"NetAmortizedCost\",\n \"NetUnblendedCost\",\n ],\n GroupBy=[\n {\"Type\": \"DIMENSION\", \"Key\": \"LINKED_ACCOUNT\"},\n {\"Type\": \"DIMENSION\", \"Key\": \"SERVICE\"},\n ],\n )\n\n if not response.get(\"ResultsByTime\"):\n return results\n\n for result in response[\"ResultsByTime\"]:\n period_start = result[\"TimePeriod\"][\"Start\"]\n\n for group in result[\"Groups\"]:\n account_id = group[\"Keys\"][0]\n service = group[\"Keys\"][1]\n\n if \"Amazon Elastic Compute Cloud\" in service:\n metrics = group[\"Metrics\"]\n unblended = float(metrics[\"UnblendedCost\"][\"Amount\"])\n amortized = float(metrics[\"AmortizedCost\"][\"Amount\"])\n net_amortized = float(metrics[\"NetAmortizedCost\"][\"Amount\"])\n net_unblended = float(metrics[\"NetUnblendedCost\"][\"Amount\"])\n unit = metrics[\"UnblendedCost\"][\"Unit\"]\n\n account_name = account_map.get(account_id, account_id)\n\n results.append({\n \"PeriodStart\": period_start,\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Service\": service,\n \"UnblendedCost\": unblended,\n \"AmortizedCost\": amortized,\n \"NetAmortizedCost\": net_amortized,\n \"NetUnblendedCost\": net_unblended,\n \"Unit\": unit\n })\n\n except ClientError as e:\n print(f\"Error fetching costs: {e}\")\n \n return results\n\ndef run():\n session = get_boto_session()\n ce_client = session.client(\"ce\", region_name=\"us-east-1\")\n account_map = get_account_names()\n start_date, end_date = get_previous_month_range()\n\n print(f\"Fetching AWS EC2 costs with compute savings from {start_date} to {end_date}...\")\n \n cost_data = fetch_costs_with_savings(ce_client, start_date, end_date, account_map)\n \n if not cost_data:\n print(\"No cost data available for the specified period.\")\n return\n\n for item in cost_data:\n print(f\"Billing Period: {item['PeriodStart']}\")\n print(f\"Account: {item['AccountName']} | Service: {item['Service']}\")\n print(f\" - Total Cost (Unblended): {item['UnblendedCost']} {item['Unit']}\")\n print(f\" - Net Cost (Amortized): {item['NetAmortizedCost']} {item['Unit']}\")\n print(f\" - Net Cost (Unblended): {item['NetUnblendedCost']} {item['Unit']}\")\n print(f\" - Final Cost (Amortized): {item['AmortizedCost']} {item['Unit']}\")\n\nif __name__ == \"__main__\":\n run()\n"
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/audits/bills.py. Here is the updated code:\nimport boto3\nfrom botocore.exceptions import ClientError\nfrom aws_utils import get_account_names, get_last_n_months_ranges, get_boto_session\n\ndef fetch_bills(ce_client, ranges):\n \"\"\"\n Fetches unblended and amortized costs across given ranges.\n Returns a dict: { account_id: { \"unblended\": [m1, m2, m3], \"amortized\": [m1, m2, m3] } }\n \"\"\"\n account_costs = {}\n \n for start_date, end_date, _ in ranges:\n try:\n response = ce_client.get_cost_and_usage(\n TimePeriod={\"Start\": start_date, \"End\": end_date},\n Granularity=\"MONTHLY\",\n Metrics=[\"UnblendedCost\", \"AmortizedCost\"],\n GroupBy=[{\"Type\": \"DIMENSION\", \"Key\": \"LINKED_ACCOUNT\"}],\n )\n\n for result in response[\"ResultsByTime\"]:\n for group in result[\"Groups\"]:\n account_id = group[\"Keys\"][0]\n unblended = float(group[\"Metrics\"][\"UnblendedCost\"][\"Amount\"])\n amortized = float(group[\"Metrics\"][\"AmortizedCost\"][\"Amount\"])\n\n if account_id not in account_costs:\n account_costs[account_id] = {\"unblended\": [], \"amortized\": []}\n\n account_costs[account_id][\"unblended\"].append(unblended)\n account_costs[account_id][\"amortized\"].append(amortized)\n except ClientError as e:\n print(f\"Error fetching cost for range {start_date} to {end_date}: {e}\")\n \n return account_costs\n\ndef run():\n session = get_boto_session()\n ce_client = session.client(\"ce\")\n account_names = get_account_names()\n\n ranges = get_last_n_months_ranges(3)\n months_labels = [r[2] for r in ranges]\n\n account_costs = fetch_bills(ce_client, ranges)\n\n # Sort accounts by the most recent month's amortized cost\n sorted_accounts = sorted(\n account_costs.items(),\n key=lambda item: item[1][\"amortized\"][0] if item[1][\"amortized\"] else 0,\n reverse=True,\n )\n\n print(f\"\\nAWS Costs for the last 3 months (Amortized and Unblended, sorted by highest Amortized Cost in {months_labels[0]}):\")\n header = f\"{'Account Name':<30} {' ' + months_labels[0] + ' (Amort)':<15} {' ' + months_labels[1] + ' (Amort)':<15} {' ' + months_labels[2] + ' (Amort)':<15} {' ' + months_labels[0] + ' (Unbl)':<15} {' ' + months_labels[1] + ' (Unbl)':<15} {' ' + months_labels[2] + ' (Unbl)':<15}\"\n print(header)\n print(\"-\" * 125)\n\n for account_id, costs in sorted_accounts:\n name = account_names.get(account_id, f\"Unknown ({account_id})\")\n\n # Ensure we have 3 months of data\n amortized = costs[\"amortized\"] + [0.0] * (3 - len(costs[\"amortized\"]))\n unblended = costs[\"unblended\"] + [0.0] * (3 - len(costs[\"unblended\"]))\n\n amortized_fmt = [f\"${c:,.2f}\" for c in amortized[:3]]\n unblended_fmt = [f\"${c:,.2f}\" for c in unblended[:3]]\n\n print(\n f\"{name[:30]:<30} {amortized_fmt[0]:>15} {amortized_fmt[1]:>15} {amortized_fmt[2]:>15} {unblended_fmt[0]:>15} {unblended_fmt[1]:>15} {unblended_fmt[2]:>15}\"\n )\n\nif __name__ == \"__main__\":\n run()\n"
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}
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{
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/tests/test_cost.py. Here is the updated code:\nimport unittest\nfrom unittest.mock import MagicMock\nfrom audits.cost import fetch_costs_with_savings\n\nclass TestCostAudit(unittest.TestCase):\n def test_fetch_costs_with_savings(self):\n mock_ce = MagicMock()\n \n # Mock response\n mock_ce.get_cost_and_usage.return_value = {\n \"ResultsByTime\": [\n {\n \"TimePeriod\": {\"Start\": \"2023-10-01\", \"End\": \"2023-11-01\"},\n \"Groups\": [\n {\n \"Keys\": [\"123456789012\", \"Amazon Elastic Compute Cloud - Compute\"],\n \"Metrics\": {\n \"UnblendedCost\": {\"Amount\": \"100.0\", \"Unit\": \"USD\"},\n \"AmortizedCost\": {\"Amount\": \"90.0\", \"Unit\": \"USD\"},\n \"NetAmortizedCost\": {\"Amount\": \"85.0\", \"Unit\": \"USD\"},\n \"NetUnblendedCost\": {\"Amount\": \"95.0\", \"Unit\": \"USD\"},\n }\n }\n ]\n }\n ]\n }\n \n account_map = {\"123456789012\": \"Test Account\"}\n \n results = fetch_costs_with_savings(mock_ce, \"2023-10-01\", \"2023-11-01\", account_map)\n \n self.assertEqual(len(results), 1)\n self.assertEqual(results[0][\"AccountName\"], \"Test Account\")\n self.assertEqual(results[0][\"Service\"], \"Amazon Elastic Compute Cloud - Compute\")\n self.assertEqual(results[0][\"UnblendedCost\"], 100.0)\n self.assertEqual(results[0][\"AmortizedCost\"], 90.0)\n\nif __name__ == \"__main__\":\n unittest.main()\n"
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}
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{
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/tests/test_bills.py. Here is the updated code:\nimport unittest\nfrom unittest.mock import MagicMock\nfrom audits.bills import fetch_bills\n\nclass TestBillsAudit(unittest.TestCase):\n def test_fetch_bills(self):\n mock_ce = MagicMock()\n \n # Mock response for one range\n mock_ce.get_cost_and_usage.return_value = {\n \"ResultsByTime\": [\n {\n \"Groups\": [\n {\n \"Keys\": [\"123456789012\"],\n \"Metrics\": {\n \"UnblendedCost\": {\"Amount\": \"100.0\", \"Unit\": \"USD\"},\n \"AmortizedCost\": {\"Amount\": \"90.0\", \"Unit\": \"USD\"},\n }\n }\n ]\n }\n ]\n }\n \n ranges = [(\"2023-10-01\", \"2023-11-01\", \"2023-10\")]\n \n results = fetch_bills(mock_ce, ranges)\n \n self.assertIn(\"123456789012\", results)\n self.assertEqual(results[\"123456789012\"][\"unblended\"], [100.0])\n self.assertEqual(results[\"123456789012\"][\"amortized\"], [90.0])\n\nif __name__ == \"__main__\":\n unittest.main()\n"
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}
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{
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/audits/bw.py. Here is the updated code:\nimport boto3\nfrom botocore.exceptions import ClientError\nfrom aws_utils import (\n get_account_names,\n get_previous_month_range,\n get_boto_session,\n export_to_sheets,\n)\n\ndef fetch_bandwidth(ce_client, start_date, end_date, all_accounts):\n \"\"\"\n Fetches bandwidth usage grouped by account.\n Returns a dict: { account_id: total_usage_in_gb }\n \"\"\"\n account_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n \"TimePeriod\": {\"Start\": start_date, \"End\": end_date},\n \"Granularity\": \"MONTHLY\",\n \"Metrics\": [\"UsageQuantity\"],\n \"GroupBy\": [\n {\"Type\": \"DIMENSION\", \"Key\": \"LINKED_ACCOUNT\"},\n {\"Type\": \"DIMENSION\", \"Key\": \"USAGE_TYPE\"},\n ],\n }\n if next_token:\n params[\"NextPageToken\"] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response.get(\"ResultsByTime\", []):\n for group in result.get(\"Groups\", []):\n acc_id = group[\"Keys\"][0]\n usage_type = group[\"Keys\"][1]\n usage_amount = float(group[\"Metrics\"][\"UsageQuantity\"][\"Amount\"])\n unit = group[\"Metrics\"][\"UsageQuantity\"][\"Unit\"]\n\n if \"DataTransfer\" in usage_type:\n if unit == \"Bytes\":\n usage_amount /= 1024**3\n elif unit in [\"MB\", \"Megabytes\"]:\n usage_amount /= 1024\n\n if acc_id in account_totals:\n account_totals[acc_id] += usage_amount\n else:\n account_totals[acc_id] = usage_amount\n\n next_token = response.get(\"NextPageToken\")\n if not next_token:\n break\n except ClientError as e:\n print(f\"Error fetching bandwidth: {e}\")\n\n return account_totals\n\ndef run():\n threshold_gb = 100.0\n session = get_boto_session()\n ce_client = session.client(\"ce\")\n all_accounts = get_account_names()\n \n if not all_accounts:\n print(\"No accounts found.\")\n return\n\n start_date, end_date = get_previous_month_range()\n \n account_totals = fetch_bandwidth(ce_client, start_date, end_date, all_accounts)\n\n print(f\"\\n--- Full Bandwidth Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Total GB':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n sorted_accounts = sorted(\n account_totals.items(),\n key=lambda x: (x[1], all_accounts.get(x[0], x[0])),\n reverse=True,\n )\n\n headers = [\"Account Name\", \"Account ID\", \"Total GB\", \"Overage (>100GB)\"]\n rows = []\n\n for acc_id, total_usage in sorted_accounts:\n acc_name = all_accounts.get(acc_id, f\"Deleted/Unknown ({acc_id})\")\n overage = max(0, total_usage - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(\n f\"{acc_name[:25]:<25} | {total_usage:>10.2f} GB | {overage:>8.2f} GB {status_icon}\"\n )\n\n rows.append([acc_name, acc_id, round(total_usage, 2), round(overage, 2)])\n\n # Export to Google Sheets\n export_to_sheets(\"AWS_Bandwidth_Usage\", headers, rows)\n\nif __name__ == \"__main__\":\n run()\n"
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|
}
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{
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/audits/storage.py. Here is the updated code:\nimport boto3\nimport calendar\nfrom datetime import datetime, timedelta\nfrom botocore.exceptions import ClientError\nfrom aws_utils import (\n get_account_names,\n get_previous_month_range,\n get_boto_session,\n export_to_sheets,\n)\n\ndef fetch_storage(ce_client, start_date, end_date, all_accounts, hours_in_month):\n \"\"\"\n Fetches storage usage grouped by account.\n Returns a dict: { account_id: total_gb }\n \"\"\"\n account_storage_totals = {acc_id: 0.0 for acc_id in all_accounts.keys()}\n next_token = None\n\n try:\n while True:\n params = {\n \"TimePeriod\": {\"Start\": start_date, \"End\": end_date},\n \"Granularity\": \"MONTHLY\",\n \"Metrics\": [\"UsageQuantity\"],\n \"GroupBy\": [\n {\"Type\": \"DIMENSION\", \"Key\": \"LINKED_ACCOUNT\"},\n {\"Type\": \"DIMENSION\", \"Key\": \"USAGE_TYPE\"},\n ],\n \"Filter\": {\n \"Dimensions\": {\n \"Key\": \"USAGE_TYPE_GROUP\",\n \"Values\": [\n \"S3: Storage - Standard\",\n \"S3: Storage - Infinite Archive\",\n \"EC2: EBS - Optimized Storage\",\n \"RDS: Storage\",\n \"EFS: Storage - Standard\",\n \"EFS: Storage - IA\",\n \"EFS: Storage - Archive\",\n ],\n }\n },\n }\n if next_token:\n params[\"NextPageToken\"] = next_token\n\n response = ce_client.get_cost_and_usage(**params)\n\n for result in response.get(\"ResultsByTime\", []):\n for group in result.get(\"Groups\", []):\n acc_id = group[\"Keys\"][0]\n usage_amount = float(group[\"Metrics\"][\"UsageQuantity\"][\"Amount\"])\n unit = group[\"Metrics\"][\"UsageQuantity\"][\"Unit\"]\n\n if unit == \"ByteHrs\":\n usage_amount = (usage_amount / (1024**3)) / hours_in_month\n elif unit in [\"MB-Mo\", \"Megabyte-Months\"]:\n usage_amount /= 1024\n\n if acc_id in account_storage_totals:\n account_storage_totals[acc_id] += usage_amount\n\n next_token = response.get(\"NextPageToken\")\n if not next_token:\n break\n except ClientError as e:\n print(f\"Error fetching storage: {e}\")\n \n return account_storage_totals\n\ndef run():\n threshold_gb = 100.0\n session = get_boto_session()\n ce_client = session.client(\"ce\")\n all_accounts = get_account_names()\n start_date, end_date = get_previous_month_range()\n\n # Calculate hours in the previous month for Byte-Hour conversion\n dt_end = datetime.strptime(end_date, \"%Y-%m-%d\")\n last_day_prev = dt_end - timedelta(days=1)\n _, num_days = calendar.monthrange(last_day_prev.year, last_day_prev.month)\n hours_in_month = num_days * 24\n\n account_storage_totals = fetch_storage(ce_client, start_date, end_date, all_accounts, hours_in_month)\n\n print(f\"\\n--- Storage Report ({start_date} to {end_date}) ---\")\n print(f\"{'Account Name':<25} | {'Storage (GB)':<12} | {'Overage (>100GB)'}\")\n print(\"-\" * 75)\n\n rows = []\n sorted_accounts = sorted(\n account_storage_totals.items(), key=lambda x: x[1], reverse=True\n )\n for acc_id, total_gb in sorted_accounts:\n acc_name = all_accounts.get(acc_id, acc_id)\n overage = max(0, total_gb - threshold_gb)\n status_icon = \"⚠️\" if overage > 0 else \"✅\"\n print(\n f\"{acc_name[:25]:<25} | {total_gb:>10.2f} GB | {overage:>8.2f} GB {status_icon}\"\n )\n rows.append([acc_name, acc_id, round(total_gb, 2), round(overage, 2)])\n\n headers = [\n \"Account Name\",\n \"Account ID\",\n f\"Storage GB ({start_date})\",\n \"Overage (>100GB)\",\n ]\n export_to_sheets(\"AWS_Storage_Usage\", headers, rows)\n\nif __name__ == \"__main__\":\n run()\n"
|
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|
}
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{
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/tests/test_bw.py. Here is the updated code:\nimport unittest\nfrom unittest.mock import MagicMock\nfrom audits.bw import fetch_bandwidth\n\nclass TestBwAudit(unittest.TestCase):\n def test_fetch_bandwidth(self):\n mock_ce = MagicMock()\n \n # Mock response\n mock_ce.get_cost_and_usage.return_value = {\n \"ResultsByTime\": [\n {\n \"Groups\": [\n {\n \"Keys\": [\"123456789012\", \"DataTransfer-Out-Bytes\"],\n \"Metrics\": {\n \"UsageQuantity\": {\"Amount\": str(1024**3 * 50), \"Unit\": \"Bytes\"},\n }\n },\n {\n \"Keys\": [\"123456789012\", \"DataTransfer-Regional-Bytes\"],\n \"Metrics\": {\n \"UsageQuantity\": {\"Amount\": str(1024**3 * 10), \"Unit\": \"Bytes\"},\n }\n }\n ]\n }\n ]\n }\n \n all_accounts = {\"123456789012\": \"Test Account\"}\n \n results = fetch_bandwidth(mock_ce, \"2023-10-01\", \"2023-11-01\", all_accounts)\n \n self.assertIn(\"123456789012\", results)\n # Total usage should be 50 + 10 = 60 GB\n self.assertEqual(results[\"123456789012\"], 60.0)\n\nif __name__ == \"__main__\":\n unittest.main()\n"
|
||||||
|
}
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{
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/tests/test_storage.py. Here is the updated code:\nimport unittest\nfrom unittest.mock import MagicMock\nfrom audits.storage import fetch_storage\n\nclass TestStorageAudit(unittest.TestCase):\n def test_fetch_storage(self):\n mock_ce = MagicMock()\n \n # Mock response\n mock_ce.get_cost_and_usage.return_value = {\n \"ResultsByTime\": [\n {\n \"Groups\": [\n {\n \"Keys\": [\"123456789012\", \"S3: Storage - Standard\"],\n \"Metrics\": {\n \"UsageQuantity\": {\"Amount\": str(1024**3 * 100 * 720), \"Unit\": \"ByteHrs\"},\n }\n }\n ]\n }\n ]\n }\n \n all_accounts = {\"123456789012\": \"Test Account\"}\n hours_in_month = 720\n \n results = fetch_storage(mock_ce, \"2023-10-01\", \"2023-11-01\", all_accounts, hours_in_month)\n \n self.assertIn(\"123456789012\", results)\n # Usage should be 100 GB\n self.assertEqual(results[\"123456789012\"], 100.0)\n\nif __name__ == \"__main__\":\n unittest.main()\n"
|
||||||
|
}
|
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{
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/audits/rds.py. Here is the updated code:\nimport boto3\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session\n\ndef fetch_rds_resources(rds_client):\n \"\"\"\n Fetches RDS instances and clusters names.\n Returns a list of strings.\n \"\"\"\n resources = []\n try:\n # Instances\n paginator = rds_client.get_paginator(\"describe_db_instances\")\n for page in paginator.paginate():\n for db_instance in page[\"DBInstances\"]:\n resources.append(db_instance[\"DBInstanceIdentifier\"])\n \n # Clusters\n paginator = rds_client.get_paginator(\"describe_db_clusters\")\n for page in paginator.paginate():\n for db_cluster in page[\"DBClusters\"]:\n resources.append(db_cluster[\"DBClusterIdentifier\"])\n except ClientError as e:\n print(f\"Error fetching RDS resources: {e}\")\n \n return resources\n\ndef run():\n \"\"\"Main entry point for RDS audit.\"\"\"\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n try:\n account_session = boto3.Session(profile_name=profile_name)\n rds_client = account_session.client(\"rds\")\n\n names = fetch_rds_resources(rds_client)\n for name in names:\n print(f'\"{account_name}\":\"{name}\"')\n\n if names:\n print(f\"Processed account '{account_name}' (ID: {account_id})\")\n except (ClientError, ProfileNotFound) as e:\n print(f\"Error accessing account '{account_name}': {e}\")\n\n print(\"\\nRDS names have been successfully listed for all accounts.\")\n\nif __name__ == \"__main__\":\n run()\n"
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}
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{
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"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/audits/asg.py. Here is the updated code:\nimport boto3\nimport csv\nimport time\nfrom botocore.exceptions import ClientError, ProfileNotFound\nfrom aws_utils import setup_org_accounts_session, get_boto_session, export_to_sheets\n\ndef get_ami_name(ec2_client, ami_id):\n if not ami_id or not ami_id.startswith(\"ami-\"):\n return \"N/A\"\n try:\n image_info = ec2_client.describe_images(ImageIds=[ami_id])[\"Images\"]\n if image_info:\n return image_info[0].get(\"Name\", \"Unnamed AMI\")\n return \"AMI not found\"\n except ClientError:\n return \"AMI not accessible\"\n except Exception:\n return \"AMI lookup error\"\n\ndef fetch_asg_details(asg_client, ec2_client, account_id, account_name, region):\n \"\"\"\n Fetches ASG details for a specific region and account.\n Returns a list of dicts.\n \"\"\"\n asg_info_list = []\n try:\n paginator = asg_client.get_paginator(\"describe_auto_scaling_groups\")\n for page in paginator.paginate():\n for asg in page[\"AutoScalingGroups\"]:\n ami_id = \"N/A\"\n template_type = \"None\"\n template_name = \"None\"\n template_version = \"N/A\"\n\n lt_data = asg.get(\"LaunchTemplate\") or asg.get(\"MixedInstancesPolicy\", {}).get(\"LaunchTemplate\")\n if lt_data:\n template_type = \"LaunchTemplate\"\n template_id = lt_data.get(\"LaunchTemplateId\")\n template_name = lt_data.get(\"LaunchTemplateName\")\n template_version = lt_data.get(\"Version\") or \"$Default\"\n try:\n args = {\"Versions\": [template_version]}\n if template_id: args[\"LaunchTemplateId\"] = template_id\n elif template_name: args[\"LaunchTemplateName\"] = template_name\n \n lt_versions = ec2_client.describe_launch_template_versions(**args)[\"LaunchTemplateVersions\"]\n if lt_versions:\n ami_id = lt_versions[0][\"LaunchTemplateData\"].get(\"ImageId\", \"N/A\")\n except ClientError:\n ami_id = \"LT lookup error\"\n\n elif asg.get(\"LaunchConfigurationName\"):\n lc_name = asg[\"LaunchConfigurationName\"]\n template_type = \"LaunchConfiguration\"\n template_name = lc_name\n template_version = \"Latest\"\n try:\n lc_response = asg_client.describe_launch_configurations(LaunchConfigurationNames=[lc_name])[\"LaunchConfigurations\"]\n if lc_response:\n ami_id = lc_response[0].get(\"ImageId\", \"N/A\")\n except ClientError:\n ami_id = \"LC lookup error\"\n\n asg_info_list.append({\n \"AccountName\": account_name,\n \"AccountID\": account_id,\n \"Region\": region,\n \"ASG_Name\": asg[\"AutoScalingGroupName\"],\n \"Template_Type\": template_type,\n \"Template_Name\": template_name,\n \"Template_Version\": template_version,\n \"AMI_ID\": ami_id,\n \"AMI_Name\": get_ami_name(ec2_client, ami_id),\n })\n except ClientError as e:\n print(f\"Error fetching ASGs: {e}\")\n \n return asg_info_list\n\ndef run():\n get_boto_session()\n regions = [\"eu-west-1\", \"eu-west-2\"]\n all_rows = []\n fieldnames = [\"AccountName\", \"AccountID\", \"Region\", \"ASG_Name\", \"Template_Type\", \"Template_Name\", \"Template_Version\", \"AMI_ID\", \"AMI_Name\"]\n\n for account, profile_name in setup_org_accounts_session():\n account_id = account[\"Id\"]\n account_name = account[\"Name\"]\n try:\n account_session = boto3.Session(profile_name=profile_name)\n for region in regions:\n asg_client = account_session.client(\"autoscaling\", region_name=region)\n ec2_client = account_session.client(\"ec2\", region_name=region)\n asg_data = fetch_asg_details(asg_client, ec2_client, account_id, account_name, region)\n all_rows.extend(asg_data)\n for asg in asg_data:\n print(f\" [FOUND] {account_name} ({region}) ASG: {asg['ASG_Name']}, AMI: {asg['AMI_ID']}\")\n time.sleep(0.1)\n except (ClientError, ProfileNotFound) as e:\n print(f\"Error accessing account {account_name}: {e}\")\n\n # Write to CSV\n csv_filepath = \"autoscaling_group_ami_template_info.csv\"\n Line truncated
|
||||||
|
}
|
||||||
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|
|||||||
|
{
|
||||||
|
"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/tests/test_rds.py. Here is the updated code:\nimport unittest\nfrom unittest.mock import MagicMock\nfrom audits.rds import fetch_rds_resources\n\nclass TestRdsAudit(unittest.TestCase):\n def test_fetch_rds_resources(self):\n mock_rds = MagicMock()\n \n # Mock instance response\n mock_rds.get_paginator.return_value.paginate.side_effect = [\n [{\"DBInstances\": [{\"DBInstanceIdentifier\": \"db-1\"}]}], # first call (instances)\n [{\"DBClusters\": [{\"DBClusterIdentifier\": \"cluster-1\"}]}] # second call (clusters)\n ]\n \n resources = fetch_rds_resources(mock_rds)\n \n self.assertEqual(len(resources), 2)\n self.assertIn(\"db-1\", resources)\n self.assertIn(\"cluster-1\", resources)\n\nif __name__ == \"__main__\":\n unittest.main()\n"
|
||||||
|
}
|
||||||
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|
|||||||
|
{
|
||||||
|
"output": "Successfully created and wrote to new file: /Users/bob/git/dxw/aws-stuff/tests/test_asg.py. Here is the updated code:\nimport unittest\nfrom unittest.mock import MagicMock, patch\nfrom audits.asg import fetch_asg_details\n\nclass TestAsgAudit(unittest.TestCase):\n @patch(\"audits.asg.get_ami_name\")\n def test_fetch_asg_details_launch_config(self, mock_get_ami_name):\n mock_asg_client = MagicMock()\n mock_ec2_client = MagicMock()\n mock_get_ami_name.return_value = \"TestAMI\"\n \n # Mock ASG with Launch Config\n mock_asg_client.get_paginator.return_value.paginate.return_value = [\n {\n \"AutoScalingGroups\": [\n {\n \"AutoScalingGroupName\": \"asg-lc\",\n \"LaunchConfigurationName\": \"lc-1\"\n }\n ]\n }\n ]\n \n # Mock LC response\n mock_asg_client.describe_launch_configurations.return_value = {\n \"LaunchConfigurations\": [{\"ImageId\": \"ami-123\"}]\n }\n \n results = fetch_asg_details(mock_asg_client, mock_ec2_client, \"123\", \"Acc\", \"region\")\n \n self.assertEqual(len(results), 1)\n self.assertEqual(results[0][\"ASG_Name\"], \"asg-lc\")\n self.assertEqual(results[0][\"Template_Type\"], \"LaunchConfiguration\")\n self.assertEqual(results[0][\"AMI_ID\"], \"ami-123\")\n\nif __name__ == \"__main__\":\n unittest.main()\n"
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|
}
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