{
  "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.getenv('OU_IDS', '')\n    if ou_str:\n        return [o.strip() for o in ou_str.split(',') if o.strip()]\n    return []\n\ndef get_account_names():\n    \"\"\"Fetches account names from AWS Organizations, excluding skipped accounts.\"\"\"\n    session = get_boto_session()\n    org_client = session.client('organizations')\n    skip_accounts = get_skip_accounts()\n    accounts = {}\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' and account['Id'] not in skip_accounts:\n                    accounts[account['Id']] = account['Name']\n    except Exception as e:\n        sts = session.client('sts')\n        try:\n            identity = sts.get_caller_identity()['Arn']\n        except:\n            identity = \"Unknown\"\n        print(f\"Error fetching account names (Identity: {identity}): {e}\")\n        print(\"Tip: If you don't have permission to list all accounts, try specifying OU_IDS in your .env file.\")\n    return accounts\n\ndef get_previous_month_range():\n    \"\"\"Returns (start_date, end_date) for the previous month in YYYY-MM-DD format.\"\"\"\n    today = date.today()\n    first_day_curr = today.replace(day=1)\n    last_day_prev = first_day_curr - relativedelta(days=1)\n    start_date = last_day_prev.replace(day=1).strftime('%Y-%m-%d')\n    end_date = first_day_curr.strftime('%Y-%m-%d')\n    return start_date, end_date\n\ndef get_last_n_months_ranges(n=3):\n    \"\"\"Returns a list of (start_date, end_date, label) for the last n months.\"\"\"\n    ranges = []\n    current_date = datetime.now().replace(day=1)\n    for i in range(1, n + 1):\n        start_dt = current_date - relativedelta(months=i)\n        end_dt = current_date - relativedelta(months=i-1)\n        ranges.append((\n            start_dt.strftime('%Y-%m-%d'),\n            end_dt.strftime('%Y-%m-%d'),\n            start_dt.strftime('%Y-%m')\n        ))\n    return ranges\n\ndef get_aws_pricing(service_code, filters):\n    \"\"\"Generic helper to fetch on-demand price from AWS Pricing API (us-east-1).\"\"\"\n    session = get_boto_session()\n    pricing_client = session.client('pricing', region_name='us-east-1')\n    try:\n        response = pricing_client.get_products(\n            ServiceCode=service_code,\n            Filters=filters\n        )\n        if response['PriceList']:\n            price_item = json.loads(response['PriceList'][0])\n            on_demand = price_item['terms']['OnDemand']\n            term_key = list(on_demand.keys())[0]\n            price_dimensions = on_demand[term_key]['priceDimensions']\n            dim_key = list(price_dimensions.keys())[0]\n            return float(price_dimensions[dim_key]['pricePerUnit']['USD'])\n    except Exception as e:\n        print(f\"Error fetching pricing for {service_code}: {e}\")\n    return None\n\ndef setup_org_accounts_session(ou_ids=None, profile_suffix='.admin'):\n    \"\"\"\n    Yields (account_dict, profile_name) for active accounts in OUs.\n    Handles boto3 session setup for each account.\n    Excludes accounts in SKIP_ACCOUNTS env var.\n    If no OUs are provided, scans the entire organization.\n    \"\"\"\n    session = get_boto_session()\n\n    if ou_ids is None:\n        ou_ids = get_ou_ids()\n        \n    skip_accounts = get_skip_accounts()\n    org_client = session.client('organizations')\n\n    if not ou_ids:\n        # Fallback: Scan all accounts in the organization if no OUs specified\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' and account['Id'] not in skip_accounts:\n                        # Sanitize account name for profile use\n                        account_name = account['Name'].replace(\" - \", \"-\").replace(\" \", \"-\")\n                        profile_name = f'{account_name}{profile_suffix}'\n                        yield account, profile_name\n            return\n        except Exception as e:\n            sts = session.client('sts')\n            try:\n                identity = sts.get_caller_identity()['Arn']\n            except:\n                identity = \"Unknown\"\n            print(f\"Error fetching all accounts in organization (Identity: {identity}): {e}\")\n            print(\"Tip: If you don't have permission to list all accounts, try specifying OU_IDS in your .env file.\")\n            return\n\n    for ou_id in ou_ids:\n        try:\n            paginator = org_client.get_paginator('list_accounts_for_parent')\n            for page in paginator.paginate(ParentId=ou_id):\n                for account in page['Accounts']:\n                    if account['Status'] == 'ACTIVE' and account['Id'] not in skip_accounts:\n                        # Sanitize account name for profile use\n                        account_name = account['Name'].replace(\" - \", \"-\").replace(\" \", \"-\")\n                        profile_name = f'{account_name}{profile_suffix}'\n                        yield account, profile_name\n        except Exception as e:\n            print(f\"Error fetching accounts for OU {ou_id}: {e}\")\n"
                }
              }
            }
          ],
          "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..."
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          "status": "success",
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            "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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      "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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      "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"
        },
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          "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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      "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": [
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          "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"
        },
        {
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          "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"
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