new glimpse approach

.gitignore

@@ -1,3 +1,8 @@
 .terraform
+code/**
+extracted_images/**
 layer
 *.zip
+.py_cache
+.venv
+.env

.terraform.tfstate.lock.info

@@ -0,0 +1 @@
+{"ID":"842a4264-8857-6f39-d95a-cbc58d58337d","Operation":"OperationTypePlan","Info":"","Who":"noti@pop-os","Version":"1.15.1","Created":"2026-05-27T17:06:58.450709065Z","Path":"terraform.tfstate"}

clean.py

@@ -0,0 +1,85 @@
+import os
+import shutil
+import subprocess
+import PyPDF2
+import img2pdf
+from pathlib import Path
+
+def is_image_only_pdf(pdf_path):
+    """
+    Check if a PDF contains only image-based content.
+    """
+    try:
+        with open(pdf_path, "rb") as f:
+            reader = PyPDF2.PdfReader(f)
+            for page in reader.pages:
+                if '/Image' not in str(page.get('/Resources', {})):
+                    return False
+        return True
+    except Exception as e:
+        print(f"Error reading PDF: {e}")
+        return False
+
+def extract_images_with_pdftoppm(pdf_path, output_dir, output_format="png"):
+    """
+    Extract images from a PDF using pdftoppm.
+    """
+    try:
+        os.makedirs(output_dir, exist_ok=True)
+        command = [
+            "pdftoppm",
+            "-r", "72",  # Resolution: 300 DPI
+            pdf_path,
+            f"{output_dir}/page",
+            f"-{output_format}"
+        ]
+        subprocess.run(command, check=True)
+        print(f"Images extracted to {output_dir}")
+    except subprocess.CalledProcessError as e:
+        print(f"Error during image extraction: {e}")
+
+def reassemble_pdf(image_dir, output_pdf_path):
+    """
+    Reassemble a new PDF from extracted images.
+    """
+    try:
+        images = sorted(Path(image_dir).glob("page-*.png"))
+        if not images:
+            print("No images found to reassemble.")
+            return
+        with open(output_pdf_path, "wb") as f:
+            f.write(img2pdf.convert([str(img) for img in images]))
+        print(f"Reassembled PDF saved at {output_pdf_path}")
+    except Exception as e:
+        print(f"Error reassembling PDF: {e}")
+
+def main(input_pdf, output_pdf):
+    if not os.path.isfile(input_pdf):
+        print(f"Error: Input file '{input_pdf}' does not exist.")
+        return
+
+    temp_dir = "extracted_images"
+
+    if is_image_only_pdf(input_pdf):
+        print("The PDF contains only images. Extracting and reassembling...")
+        extract_images_with_pdftoppm(input_pdf, temp_dir)
+        reassemble_pdf(temp_dir, output_pdf)
+    else:
+        print("The PDF contains text or mixed content. Copying input to output...")
+        shutil.copy(input_pdf, output_pdf)
+        print(f"Copied '{input_pdf}' to '{output_pdf}'.")
+
+    # Clean up temporary directory
+    #if os.path.exists(temp_dir):
+    #    shutil.rmtree(temp_dir)
+
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser(description="Process PDF files with image-only detection.")
+    parser.add_argument("input_pdf", help="Path to the input PDF file")
+    parser.add_argument("output_pdf", help="Path to the output PDF file")
+    args = parser.parse_args()
+
+    main(args.input_pdf, args.output_pdf)
+

code/main.py

@@ -1,67 +1,165 @@
-
 #!/usr/bin/env python3
-import openai
+import base64
 import json
+import os
+import urllib.request
+
+from dotenv import load_dotenv
+
+_env_path = os.path.join(os.path.dirname(__file__), '.env')
+if os.path.exists(_env_path):
+    load_dotenv(_env_path)
+
+import openai
+
+client = openai.OpenAI(
+    api_key=os.environ["OPENROUTER_API_KEY"],
+    base_url="https://openrouter.ai/api/v1",
+)
+
 
-openai.api_key = "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"
 def slurp_file(filename):
     with open(filename, 'r') as file:
-        data = file.read()
-    return data
+        return file.read()
 
-BASE_PROMPT="""You extract invoice details from pdfs. Some pdfs are invoices, some are credits, and some are statements that may contain statements or credits. Numbers in parenthesis typically indicate credits. Always follow this json schema. Do not respond with anything except the raw json response. Do not respond in code blocks(```).
-```
-{}
-```
-""".format(slurp_file('schema.json'))
 
-import sys
-# context = sys.argv[1]
-# problem = sys.argv[2]
-# other = sys.argv[3]
-client = openai.OpenAI(api_key= "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")
-client.api_key = "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"
-def handler(event, context):
-    print(event)
-    assistant = client.beta.assistants.create(
-      name="pdf-reader",
-      instructions=BASE_PROMPT,
-      model="gpt-4o",
-      tools=[{"type": "file_search"}],
+BASE_PROMPT="""You are an invoice extraction assistant. Your job is to read PDF documents and extract all invoice and credit note details.
+
+DOCUMENT TYPES YOU MAY ENCOUNTER:
+1. **Single Invoice** — one invoice with line items, totals, dates, etc.
+2. **Credit Note** — similar to an invoice but represents a credit/refund. Extract it the same way; the total will be positive (the credit amount).
+3. **Statement / Summary** — a document listing multiple invoices or credits in a table or list format. Each row or entry represents a separate invoice/credit.
+4. **Mixed** — a document containing both invoices and credits.
+
+EXTRACTION RULES:
+- Extract EVERY invoice or credit you can find. If the document is a statement listing 10 invoices, include all 10 in the invoices array.
+- **customer_identifier**: The name of the customer/buyer. Look for "Bill To", "Customer", "Sold To", or the company name at the top.
+- **vendor_identifier**: The name of the vendor/seller. Look for "From", "Vendor", "Supplier", letterhead, or the company issuing the document.
+- **date**: The invoice date in ISO 8601 format (YYYY-MM-DD). If multiple dates exist, use the invoice date, not the due date or statement period.
+- **invoice_number**: The unique invoice or credit note number. Look for labels like "Invoice #", "Inv No", "Credit Note #", "Reference", "Doc #".
+- **account_number**: The customer's account number if present. Not required — omit if not found.
+- **total**: The total amount as a decimal string (e.g., "1234.56"). Use the grand total or amount due. For credits, use the credit amount as a positive number. Numbers in parentheses indicate credits — extract them as positive values.
+
+IMPORTANT:
+- Do NOT skip entries because some fields are missing. Extract what you can.
+- For statements/summaries, each row in an invoice table is a separate entry in the invoices array.
+- If OCR fails completely and no text can be extracted at all, set the explanation field to indicate why."""
+
+INVOICE_TOOL = {
+    "type": "function",
+    "function": {
+        "name": "parsed_invoices",
+        "description": "Record all extracted invoices and credit notes from the document. Include every invoice found in the invoices array.",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "invoices": {
+                    "description": "Array of all invoices and credit notes extracted from the document. Include every one you find.",
+                    "type": "array",
+                    "items": {
+                        "type": "object",
+                        "properties": {
+                            "customer_identifier": {
+                                "description": "The customer's name. e.g., ABC Corporation, Microsoft, etc.",
+                                "type": "string"
+                            },
+                            "vendor_identifier": {
+                                "description": "The vendor's name",
+                                "type": "string"
+                            },
+                            "date": {
+                                "description": "Invoice date in ISO 8601 format (YYYY-MM-DD).",
+                                "type": "string",
+                                "format": "date"
+                            },
+                            "invoice_number": {
+                                "description": "Unique invoice number for the transaction.",
+                                "type": "string"
+                            },
+                            "account_number": {
+                                "description": "Customer's account number associated with the invoice. Not always present on the invoice.",
+                                "type": "string"
+                            },
+                            "total": {
+                                "description": "Total amount of the invoice, including taxes and fees. It should be a decimal number as a string.",
+                                "type": "string",
+                                "pattern": "^\\d+(\\.\\d{1,2})?$"
+                            }
+                        },
+                        "required": ["customer_identifier", "vendor_identifier", "date", "invoice_number", "total"],
+                        "additionalProperties": False
+                    }
+                },
+                "explanation": {
+                    "description": "Only use this when you cannot find any valid invoices. Provide a detailed reason (e.g., 'document is blank', 'PDF contains only images with no extractable text', 'document is a cover letter with no invoice data').",
+                    "type": "string"
+                }
+            }
+        }
+    }
+}
+
+
+def analyze_pdf(pdf_path):
+    model = os.environ.get("OPENROUTER_MODEL", "openai/gpt-5.4-mini")
+
+    with open(pdf_path, 'rb') as f:
+        pdf_data = f.read()
+    base64_string = base64.b64encode(pdf_data).decode("utf-8")
+
+    response = client.chat.completions.create(
+        model=model,
+        messages=[
+            {
+                "role": "system",
+                "content": BASE_PROMPT,
+            },
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "file",
+                        "file": {
+                            "filename": os.path.basename(pdf_path),
+                            "file_data": f"data:application/pdf;base64,{base64_string}",
+                        },
+                    },
+                    {
+                        "type": "text",
+                        "text": "extract the invoice(s) and/or credit(s) details from this document.",
+                    },
+                ],
+            },
+        ],
+        tools=[INVOICE_TOOL],
     )
-    import urllib.request
 
-    url = event['url']
-    print ("URL IS", url)
-    with urllib.request.urlopen(event['url']) as response:
+    message = response.choices[0].message
+
+    if message.tool_calls:
+        for tool_call in message.tool_calls:
+            if tool_call.function.name == "parsed_invoices":
+                data = json.loads(tool_call.function.arguments)
+                return data.get("invoices", [])
+
+    return []
+
+
+def analyze_url(url):
+    with urllib.request.urlopen(url) as response:
         data = response.read()
     with open("/tmp/test.pdf", "wb") as f:
         f.write(data)
+    return analyze_pdf("/tmp/test.pdf")
 
-    # Upload the user provided file to OpenAI
-    message_file = client.files.create(
-      file=open("/tmp/test.pdf", "rb"), purpose="assistants"
-    )
 
-    # Create a thread and attach the file to the message
-    thread = client.beta.threads.create(
-      messages=[
-        {
-          "role": "user",
-          "content": "extract the invoice(s) and/or credit(s) details from this invoice or statement",
-          # Attach the new file to the message.
-          "attachments": [
-            { "file_id": message_file.id, "tools": [{"type": "file_search"}] }
-          ],
-        }
-      ]
-    )
-    run = client.beta.threads.runs.create_and_poll(
-        thread_id=thread.id, assistant_id=assistant.id
-    )
-
-    messages = list(client.beta.threads.messages.list(thread_id=thread.id, run_id=run.id))
-
-    print(run.usage)
-
-    return json.loads(messages[0].content[0].text.value)
+def handler(event, context):
+    print(event)
+    if "pdf_base64" in event:
+        pdf_path = "/tmp/invoice.pdf"
+        with open(pdf_path, "wb") as f:
+            f.write(base64.b64decode(event["pdf_base64"]))
+        return analyze_pdf(pdf_path)
+    if "url" in event:
+        return analyze_url(event["url"])
+    raise ValueError("event must contain 'url' or 'pdf_base64'")

code/schema.json

@@ -6,6 +6,10 @@
     "items": {
     "type": "object",
         "properties": {
+            "explanation": {
+                "description": "In the case of an error or no invoice, this field should always have a detailed explanation as to why.",
+                "type": "string"
+            },
             "customer_identifier": {
                 "description": "The customer's name. e.g., ABC Corporation, Microsoft, etc.",
                 "type": "string"

code/test.py

@@ -0,0 +1,26 @@
+import unittest
+from unittest.mock import patch, MagicMock
+from main import analyze_url
+
+class TestAnalyzeUrl(unittest.TestCase):
+
+    def test_analyze_url(self):
+        result = analyze_url('https://data.prod.app.integreatconsult.com/glimpse2/import/c9c5b9af-bfb5-475d-820d-20a6a00f006b.pdf')
+        print(result)
+
+
+        self.assertEqual(result, {})
+        
+        # Add more assertions depending on how you expect your function to behave.
+        
+    def test_analyze_url3(self):
+        result = analyze_url('https://data.prod.app.integreatconsult.com/bryce/glimpse2-testing/SWP.pdf')
+        print(result)
+
+        self.assertEqual(result, {})
+        
+        # Add more assertions depending on how you expect your function to behave.
+        
+
+if __name__ == '__main__':
+    unittest.main()

invoke_lambda.sh

@@ -0,0 +1,26 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+PDF_PATH="${1:-tests/SWCPI25011315283.pdf}"
+ENVIRONMENT="${2:-test}"
+
+if [ ! -f "$PDF_PATH" ]; then
+  echo "Error: PDF file not found: $PDF_PATH"
+  exit 1
+fi
+
+FUNCTION_NAME="glimpse2-${ENVIRONMENT}"
+PAYLOAD_FILE=$(mktemp)
+python3 -c "import base64, json, sys; json.dump({'pdf_base64': base64.b64encode(open(sys.argv[1], 'rb').read()).decode()}, open(sys.argv[2], 'w'))" "$PDF_PATH" "$PAYLOAD_FILE"
+
+echo "Invoking ${FUNCTION_NAME} with ${PDF_PATH}..."
+aws lambda invoke \
+  --function-name "$FUNCTION_NAME" \
+  --payload file://"$PAYLOAD_FILE" \
+  --cli-binary-format raw-in-base64-out \
+  /tmp/lambda_response.json
+
+rm -f "$PAYLOAD_FILE"
+
+echo "Response:"
+python3 -m json.tool /tmp/lambda_response.json 2>/dev/null || cat /tmp/lambda_response.json

main.tf

@@ -1,3 +1,16 @@
+terraform {
+  required_providers {
+    aws = {
+      source  = "hashicorp/aws"
+      version = "~> 5.0"
+    }
+  }
+}
+
+provider "aws" {
+  region = var.region
+}
+
 data "aws_iam_policy_document" "assume_role" {
   statement {
     effect = "Allow"
@@ -13,11 +26,11 @@ data "aws_iam_policy_document" "assume_role" {
 
 resource "null_resource" "pip_install" {
   triggers = {
-    shell_hash = "${sha256(file("${path.module}/requirements.txt"))}"
+    shell_hash = "${sha256(file("${path.module}/pyproject.toml"))}"
   }
 
   provisioner "local-exec" {
-    command = "python3 -m pip install -r requirements.txt -t ${path.module}/layer/python"
+    command = "uv pip compile ${path.module}/pyproject.toml --python 3.11 --no-header -o /tmp/layer-requirements.txt && uv pip install -r /tmp/layer-requirements.txt --python 3.11 -t ${path.module}/layer/python"
   }
 }
 
@@ -29,7 +42,7 @@ data "archive_file" "layer" {
 }
 
 resource "aws_lambda_layer_version" "layer" {
-  layer_name          = "openai-layer"
+  layer_name          = "openai-layer-${local.env}"
   filename            = data.archive_file.layer.output_path
   source_code_hash    = data.archive_file.layer.output_base64sha256
   compatible_runtimes = ["python3.11"]
@@ -38,7 +51,7 @@ resource "aws_lambda_layer_version" "layer" {
 
 
 resource "aws_iam_role" "iam_for_lambda" {
-  name               = "glimpse2"
+  name               = "glimpse2-${local.env}"
   assume_role_policy = data.aws_iam_policy_document.assume_role.json
 }
 
@@ -52,11 +65,11 @@ resource "aws_lambda_function" "test_lambda" {
   # If the file is not in the current working directory you will need to include a
   # path.module in the filename.
   filename      = "lambda_function_payload.zip"
-  function_name = "glimpse2"
+  function_name = "glimpse2-${local.env}"
   role          = aws_iam_role.iam_for_lambda.arn
   handler       = "main.handler"
   memory_size = 512
-  timeout = 30
+  timeout = 60
 
   source_code_hash = data.archive_file.lambda.output_base64sha256
   layers           = [aws_lambda_layer_version.layer.arn]
@@ -65,7 +78,7 @@ resource "aws_lambda_function" "test_lambda" {
 
   environment {
     variables = {
-      foo = "bar"
+      environment = local.env
     }
   }
 }

prod.tfvars

@@ -0,0 +1 @@
+environment = "prod"

pyproject.toml

@@ -0,0 +1,10 @@
+[project]
+name = "glimpse2"
+version = "0.1.0"
+description = "PDF invoice extraction using OpenAI"
+requires-python = ">=3.11"
+dependencies = [
+    "openai==1.109.1",
+    "pydantic==2.13.4",
+    "python-dotenv>=1.2.2",
+]

requirements.txt

@@ -1,3 +0,0 @@
-openai==1.30.4
-pydantic==2.5.3
-pydantic_core==2.14.6

terraform.tfstate

@@ -1,7 +1,7 @@
 {
   "version": 4,
-  "terraform_version": "1.8.3",
-  "serial": 50,
+  "terraform_version": "1.9.2",
+  "serial": 56,
   "lineage": "3d9e9e5b-e59a-3f03-49c9-906d67028b61",
   "outputs": {},
   "resources": [
@@ -16,16 +16,16 @@
           "attributes": {
             "exclude_symlink_directories": null,
             "excludes": null,
-            "id": "cfdf624da45558bff9a94f88d4d77966b7171f2f",
-            "output_base64sha256": "ObwHNFJSs3OzPP8ZLVn0U0aRifejNlRtnr9SWB7rbGs=",
-            "output_base64sha512": "rh0XpxdZ4fLJsAfz5xVY5FRvsBwxJk8uH0BNB8QapEJr7G2OJMKgPaTvk5Kzkx0+hLRddICaZuLzno0smXr7Bw==",
+            "id": "b017e188ffb4ac90572fc0b0908332005a7cd1f1",
+            "output_base64sha256": "Q+QOG/IfIeef3tp45NMom0kxMIl5ZotY2hHGU6qawZ4=",
+            "output_base64sha512": "aCaHbU927cJtQLNtqUvbVhZE9tPZu8Wpc7JCZkhPs8IF6xpljNa379vKcHcLMprDJ+oN77E6QAN9Ob5F/TAjvA==",
             "output_file_mode": null,
-            "output_md5": "d152694d3476fff84ff4979df86e95e9",
+            "output_md5": "927e485721c9b9022fa51a7ad012b2bc",
             "output_path": "lambda_function_payload.zip",
-            "output_sha": "cfdf624da45558bff9a94f88d4d77966b7171f2f",
-            "output_sha256": "39bc07345252b373b33cff192d59f453469189f7a336546d9ebf52581eeb6c6b",
-            "output_sha512": "ae1d17a71759e1f2c9b007f3e71558e4546fb01c31264f2e1f404d07c41aa4426bec6d8e24c2a03da4ef9392b3931d3e84b45d74809a66e2f39e8d2c997afb07",
-            "output_size": 1714,
+            "output_sha": "b017e188ffb4ac90572fc0b0908332005a7cd1f1",
+            "output_sha256": "43e40e1bf21f21e79fdeda78e4d3289b4931308979668b58da11c653aa9ac19e",
+            "output_sha512": "6826876d4f76edc26d40b36da94bdb561644f6d3d9bbc5a973b24266484fb3c205eb1a658cd6b7efdbca70770b329ac327ea0defb13a40037d39be45fd3023bc",
+            "output_size": 3940,
             "source": [],
             "source_content": null,
             "source_content_filename": null,
@@ -130,7 +130,9 @@
             "force_detach_policies": false,
             "id": "glimpse2",
             "inline_policy": [],
-            "managed_policy_arns": [],
+            "managed_policy_arns": [
+              "arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole"
+            ],
             "max_session_duration": 3600,
             "name": "glimpse2",
             "name_prefix": "",
@@ -161,7 +163,7 @@
               "x86_64"
             ],
             "arn": "arn:aws:lambda:us-east-1:679918342773:function:glimpse2",
-            "code_sha256": "ObwHNFJSs3OzPP8ZLVn0U0aRifejNlRtnr9SWB7rbGs=",
+            "code_sha256": "Q+QOG/IfIeef3tp45NMom0kxMIl5ZotY2hHGU6qawZ4=",
             "code_signing_config_arn": "",
             "dead_letter_config": [],
             "description": "",
@@ -186,7 +188,7 @@
             "image_uri": "",
             "invoke_arn": "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east-1:679918342773:function:glimpse2/invocations",
             "kms_key_arn": "",
-            "last_modified": "2024-06-07T17:43:33.000+0000",
+            "last_modified": "2024-10-25T06:25:22.000+0000",
             "layers": [
               "arn:aws:lambda:us-east-1:679918342773:layer:openai-layer:3"
             ],
@@ -215,8 +217,8 @@
             "signing_profile_version_arn": "",
             "skip_destroy": false,
             "snap_start": [],
-            "source_code_hash": "ObwHNFJSs3OzPP8ZLVn0U0aRifejNlRtnr9SWB7rbGs=",
-            "source_code_size": 1714,
+            "source_code_hash": "Q+QOG/IfIeef3tp45NMom0kxMIl5ZotY2hHGU6qawZ4=",
+            "source_code_size": 3940,
             "tags": {},
             "tags_all": {},
             "timeout": 30,

terraform.tfstate.backup

@@ -1,7 +1,7 @@
 {
   "version": 4,
-  "terraform_version": "1.8.3",
-  "serial": 48,
+  "terraform_version": "1.9.2",
+  "serial": 54,
   "lineage": "3d9e9e5b-e59a-3f03-49c9-906d67028b61",
   "outputs": {},
   "resources": [
@@ -16,16 +16,16 @@
           "attributes": {
             "exclude_symlink_directories": null,
             "excludes": null,
-            "id": "83bc11e065e027bfc2509b3ddcec47741d40f993",
-            "output_base64sha256": "e6wS99VKL4X2uGlzhnV4a++pz9Ra8db/ZRmtWqKkNAw=",
-            "output_base64sha512": "JWqbfYXtz7VDOdGpdJnCpU9cFR2CT3rxkcArQghTlSskTdAMM6Y2XZ63sNiu8oCdAVSEGoxK7K0umQyLXeZS3w==",
+            "id": "591123473fcc148c2eb55683ecc13950d7fb9604",
+            "output_base64sha256": "eO1ckJE5H3wuZAK+8TOLzw4amZ4l2TfsWrAz/DGwtUM=",
+            "output_base64sha512": "W1s8lbpmh0bqBXEYZH4xOAC8urV+rRVYjDumTPz4KfhfniDRADgDOKYtDg9x5bsQHIxoQ7P9EG9ZyV/PjFDv9Q==",
             "output_file_mode": null,
-            "output_md5": "98ad48dafff07cbe7f7adc6ae65cce00",
+            "output_md5": "42025c95847dced03a50a9eaa1d76fd2",
             "output_path": "lambda_function_payload.zip",
-            "output_sha": "83bc11e065e027bfc2509b3ddcec47741d40f993",
-            "output_sha256": "7bac12f7d54a2f85f6b869738675786befa9cfd45af1d6ff6519ad5aa2a4340c",
-            "output_sha512": "256a9b7d85edcfb54339d1a97499c2a54f5c151d824f7af191c02b420853952b244dd00c33a6365d9eb7b0d8aef2809d0154841a8c4aecad2e990c8b5de652df",
-            "output_size": 1656,
+            "output_sha": "591123473fcc148c2eb55683ecc13950d7fb9604",
+            "output_sha256": "78ed5c9091391f7c2e6402bef1338bcf0e1a999e25d937ec5ab033fc31b0b543",
+            "output_sha512": "5b5b3c95ba668746ea057118647e313800bcbab57ead15588c3ba64cfcf829f85f9e20d100380338a62d0e0f71e5bb101c8c6843b3fd106f59c95fcf8c50eff5",
+            "output_size": 1824,
             "source": [],
             "source_content": null,
             "source_content_filename": null,
@@ -130,7 +130,9 @@
             "force_detach_policies": false,
             "id": "glimpse2",
             "inline_policy": [],
-            "managed_policy_arns": [],
+            "managed_policy_arns": [
+              "arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole"
+            ],
             "max_session_duration": 3600,
             "name": "glimpse2",
             "name_prefix": "",
@@ -161,7 +163,7 @@
               "x86_64"
             ],
             "arn": "arn:aws:lambda:us-east-1:679918342773:function:glimpse2",
-            "code_sha256": "e6wS99VKL4X2uGlzhnV4a++pz9Ra8db/ZRmtWqKkNAw=",
+            "code_sha256": "eO1ckJE5H3wuZAK+8TOLzw4amZ4l2TfsWrAz/DGwtUM=",
             "code_signing_config_arn": "",
             "dead_letter_config": [],
             "description": "",
@@ -186,7 +188,7 @@
             "image_uri": "",
             "invoke_arn": "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east-1:679918342773:function:glimpse2/invocations",
             "kms_key_arn": "",
-            "last_modified": "2024-06-07T17:38:19.000+0000",
+            "last_modified": "2024-10-25T06:03:21.000+0000",
             "layers": [
               "arn:aws:lambda:us-east-1:679918342773:layer:openai-layer:3"
             ],
@@ -215,8 +217,8 @@
             "signing_profile_version_arn": "",
             "skip_destroy": false,
             "snap_start": [],
-            "source_code_hash": "e6wS99VKL4X2uGlzhnV4a++pz9Ra8db/ZRmtWqKkNAw=",
-            "source_code_size": 1656,
+            "source_code_hash": "eO1ckJE5H3wuZAK+8TOLzw4amZ4l2TfsWrAz/DGwtUM=",
+            "source_code_size": 1824,
             "tags": {},
             "tags_all": {},
             "timeout": 30,

terraform.tfstate.d/test/terraform.tfstate

@@ -0,0 +1,313 @@
+{
+  "version": 4,
+  "terraform_version": "1.15.1",
+  "serial": 8,
+  "lineage": "d233b79d-da3f-cd9d-4b62-af1c850901ee",
+  "outputs": {},
+  "resources": [
+    {
+      "mode": "data",
+      "type": "archive_file",
+      "name": "lambda",
+      "provider": "provider[\"registry.terraform.io/hashicorp/archive\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "exclude_symlink_directories": null,
+            "excludes": null,
+            "id": "9d3e0e20184ca740cf3ea4340de29c39affb671d",
+            "output_base64sha256": "y9M2eCZjnOi+6H60vC4z+HW95OP9GVC0Icw3Yc3xIvU=",
+            "output_base64sha512": "YbENaC7DYFAI6nJLrnOR99yZx8zFjnboHpcQGRD0/MKuPi+B6oy6l4NsnFAekayBOWddxZquWHTcqZcx9LiCdQ==",
+            "output_file_mode": null,
+            "output_md5": "fcfa112d0c05b2a40c72445a7438b356",
+            "output_path": "lambda_function_payload.zip",
+            "output_sha": "9d3e0e20184ca740cf3ea4340de29c39affb671d",
+            "output_sha256": "cbd3367826639ce8bee87eb4bc2e33f875bde4e3fd1950b421cc3761cdf122f5",
+            "output_sha512": "61b10d682ec3605008ea724bae7391f7dc99c7ccc58e76e81e97101910f4fcc2ae3e2f81ea8cba97836c9c501e91ac8139675dc59aae5874dca99731f4b88275",
+            "output_size": 12212,
+            "source": [],
+            "source_content": null,
+            "source_content_filename": null,
+            "source_dir": "./code",
+            "source_file": null,
+            "type": "zip"
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0
+        }
+      ]
+    },
+    {
+      "mode": "data",
+      "type": "archive_file",
+      "name": "layer",
+      "provider": "provider[\"registry.terraform.io/hashicorp/archive\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "exclude_symlink_directories": null,
+            "excludes": null,
+            "id": "b2027e85f6c1607a31456d9bab04adea560c124a",
+            "output_base64sha256": "dB5NITnNHiiWWQtFv9f3eYWRilrtiE60AJNMWRadSlA=",
+            "output_base64sha512": "YSSHtd8poCa26moOzdrQBJ8zuSK2L2N7XOIJq7KgDerdfbty2gPkcNi7Y/7jQ1UHP++Wft9vZO3P0zYO6T5tmA==",
+            "output_file_mode": null,
+            "output_md5": "777cb1543745e89136e2e9efe52b7dee",
+            "output_path": "./layer.zip",
+            "output_sha": "b2027e85f6c1607a31456d9bab04adea560c124a",
+            "output_sha256": "741e4d2139cd1e2896590b45bfd7f77985918a5aed884eb400934c59169d4a50",
+            "output_sha512": "612487b5df29a026b6ea6a0ecddad0049f33b922b62f637b5ce209abb2a00deadd7dbb72da03e470d8bb63fee34355073fef967edf6f64edcfd3360ee93e6d98",
+            "output_size": 7103838,
+            "source": [],
+            "source_content": null,
+            "source_content_filename": null,
+            "source_dir": "./layer",
+            "source_file": null,
+            "type": "zip"
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0
+        }
+      ]
+    },
+    {
+      "mode": "data",
+      "type": "aws_iam_policy_document",
+      "name": "assume_role",
+      "provider": "provider[\"registry.terraform.io/hashicorp/aws\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "id": "2690255455",
+            "json": "{\n  \"Version\": \"2012-10-17\",\n  \"Statement\": [\n    {\n      \"Effect\": \"Allow\",\n      \"Action\": \"sts:AssumeRole\",\n      \"Principal\": {\n        \"Service\": \"lambda.amazonaws.com\"\n      }\n    }\n  ]\n}",
+            "minified_json": "{\"Version\":\"2012-10-17\",\"Statement\":[{\"Effect\":\"Allow\",\"Action\":\"sts:AssumeRole\",\"Principal\":{\"Service\":\"lambda.amazonaws.com\"}}]}",
+            "override_json": null,
+            "override_policy_documents": null,
+            "policy_id": null,
+            "source_json": null,
+            "source_policy_documents": null,
+            "statement": [
+              {
+                "actions": [
+                  "sts:AssumeRole"
+                ],
+                "condition": [],
+                "effect": "Allow",
+                "not_actions": [],
+                "not_principals": [],
+                "not_resources": [],
+                "principals": [
+                  {
+                    "identifiers": [
+                      "lambda.amazonaws.com"
+                    ],
+                    "type": "Service"
+                  }
+                ],
+                "resources": [],
+                "sid": ""
+              }
+            ],
+            "version": "2012-10-17"
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0
+        }
+      ]
+    },
+    {
+      "mode": "managed",
+      "type": "aws_iam_role",
+      "name": "iam_for_lambda",
+      "provider": "provider[\"registry.terraform.io/hashicorp/aws\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "arn": "arn:aws:iam::695105795926:role/glimpse2-test",
+            "assume_role_policy": "{\"Statement\":[{\"Action\":\"sts:AssumeRole\",\"Effect\":\"Allow\",\"Principal\":{\"Service\":\"lambda.amazonaws.com\"}}],\"Version\":\"2012-10-17\"}",
+            "create_date": "2026-05-27T17:09:01Z",
+            "description": "",
+            "force_detach_policies": false,
+            "id": "glimpse2-test",
+            "inline_policy": [],
+            "managed_policy_arns": [],
+            "max_session_duration": 3600,
+            "name": "glimpse2-test",
+            "name_prefix": "",
+            "path": "/",
+            "permissions_boundary": "",
+            "tags": {},
+            "tags_all": {},
+            "unique_id": "AROA2DV4IW5LLMAWHIGZQ"
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0,
+          "private": "bnVsbA==",
+          "dependencies": [
+            "data.aws_iam_policy_document.assume_role"
+          ]
+        }
+      ]
+    },
+    {
+      "mode": "managed",
+      "type": "aws_lambda_function",
+      "name": "test_lambda",
+      "provider": "provider[\"registry.terraform.io/hashicorp/aws\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "architectures": [
+              "x86_64"
+            ],
+            "arn": "arn:aws:lambda:us-east-1:695105795926:function:glimpse2-test",
+            "code_sha256": "y9M2eCZjnOi+6H60vC4z+HW95OP9GVC0Icw3Yc3xIvU=",
+            "code_signing_config_arn": "",
+            "dead_letter_config": [],
+            "description": "",
+            "environment": [
+              {
+                "variables": {
+                  "environment": "test"
+                }
+              }
+            ],
+            "ephemeral_storage": [
+              {
+                "size": 512
+              }
+            ],
+            "file_system_config": [],
+            "filename": "lambda_function_payload.zip",
+            "function_name": "glimpse2-test",
+            "handler": "main.handler",
+            "id": "glimpse2-test",
+            "image_config": [],
+            "image_uri": "",
+            "invoke_arn": "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east-1:695105795926:function:glimpse2-test/invocations",
+            "kms_key_arn": "",
+            "last_modified": "2026-05-27T17:11:46.000+0000",
+            "layers": [
+              "arn:aws:lambda:us-east-1:695105795926:layer:openai-layer-test:1"
+            ],
+            "logging_config": [
+              {
+                "application_log_level": "",
+                "log_format": "Text",
+                "log_group": "/aws/lambda/glimpse2-test",
+                "system_log_level": ""
+              }
+            ],
+            "memory_size": 512,
+            "package_type": "Zip",
+            "publish": false,
+            "qualified_arn": "arn:aws:lambda:us-east-1:695105795926:function:glimpse2-test:$LATEST",
+            "qualified_invoke_arn": "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east-1:695105795926:function:glimpse2-test:$LATEST/invocations",
+            "replace_security_groups_on_destroy": null,
+            "replacement_security_group_ids": null,
+            "reserved_concurrent_executions": -1,
+            "role": "arn:aws:iam::695105795926:role/glimpse2-test",
+            "runtime": "python3.11",
+            "s3_bucket": null,
+            "s3_key": null,
+            "s3_object_version": null,
+            "signing_job_arn": "",
+            "signing_profile_version_arn": "",
+            "skip_destroy": false,
+            "snap_start": [],
+            "source_code_hash": "y9M2eCZjnOi+6H60vC4z+HW95OP9GVC0Icw3Yc3xIvU=",
+            "source_code_size": 12212,
+            "tags": {},
+            "tags_all": {},
+            "timeout": 60,
+            "timeouts": null,
+            "tracing_config": [
+              {
+                "mode": "PassThrough"
+              }
+            ],
+            "version": "$LATEST",
+            "vpc_config": []
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0,
+          "private": "eyJlMmJmYjczMC1lY2FhLTExZTYtOGY4OC0zNDM2M2JjN2M0YzAiOnsiY3JlYXRlIjo2MDAwMDAwMDAwMDAsImRlbGV0ZSI6NjAwMDAwMDAwMDAwLCJ1cGRhdGUiOjYwMDAwMDAwMDAwMH19",
+          "dependencies": [
+            "aws_iam_role.iam_for_lambda",
+            "aws_lambda_layer_version.layer",
+            "data.archive_file.lambda",
+            "data.archive_file.layer",
+            "data.aws_iam_policy_document.assume_role",
+            "null_resource.pip_install"
+          ]
+        }
+      ]
+    },
+    {
+      "mode": "managed",
+      "type": "aws_lambda_layer_version",
+      "name": "layer",
+      "provider": "provider[\"registry.terraform.io/hashicorp/aws\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "arn": "arn:aws:lambda:us-east-1:695105795926:layer:openai-layer-test:1",
+            "code_sha256": "dB5NITnNHiiWWQtFv9f3eYWRilrtiE60AJNMWRadSlA=",
+            "compatible_architectures": [],
+            "compatible_runtimes": [
+              "python3.11"
+            ],
+            "created_date": "2026-05-27T17:09:07.743+0000",
+            "description": "",
+            "filename": "./layer.zip",
+            "id": "arn:aws:lambda:us-east-1:695105795926:layer:openai-layer-test:1",
+            "layer_arn": "arn:aws:lambda:us-east-1:695105795926:layer:openai-layer-test",
+            "layer_name": "openai-layer-test",
+            "license_info": "",
+            "s3_bucket": null,
+            "s3_key": null,
+            "s3_object_version": null,
+            "signing_job_arn": "",
+            "signing_profile_version_arn": "",
+            "skip_destroy": false,
+            "source_code_hash": "dB5NITnNHiiWWQtFv9f3eYWRilrtiE60AJNMWRadSlA=",
+            "source_code_size": 7103838,
+            "version": "1"
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0,
+          "private": "bnVsbA==",
+          "dependencies": [
+            "data.archive_file.layer",
+            "null_resource.pip_install"
+          ]
+        }
+      ]
+    },
+    {
+      "mode": "managed",
+      "type": "null_resource",
+      "name": "pip_install",
+      "provider": "provider[\"registry.terraform.io/hashicorp/null\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "id": "5491774440303221650",
+            "triggers": {
+              "shell_hash": "84016380c6c240dd563a10e364ece2d65f4ad6c7313b2dd69cefbeb949fcfa4b"
+            }
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0
+        }
+      ]
+    }
+  ],
+  "check_results": null
+}

terraform.tfstate.d/test/terraform.tfstate.backup

@@ -0,0 +1,313 @@
+{
+  "version": 4,
+  "terraform_version": "1.15.1",
+  "serial": 6,
+  "lineage": "d233b79d-da3f-cd9d-4b62-af1c850901ee",
+  "outputs": {},
+  "resources": [
+    {
+      "mode": "data",
+      "type": "archive_file",
+      "name": "lambda",
+      "provider": "provider[\"registry.terraform.io/hashicorp/archive\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "exclude_symlink_directories": null,
+            "excludes": null,
+            "id": "076a08927a351c0f32ee35bce706df144469e677",
+            "output_base64sha256": "JhTe97YTSvuFlvDFGzhFP+f6yE7Rn6HSp2Y1SYVlOVY=",
+            "output_base64sha512": "P1Z89ahd14HUlbP7q8yNoFmZPu6B9w95stgmbqEkpWdx1NhJwdiNN4iYDqdHJI/q6cdzE1xLkU8wxwyDIWZj+Q==",
+            "output_file_mode": null,
+            "output_md5": "5d9102792c60073f6c15da416babe408",
+            "output_path": "lambda_function_payload.zip",
+            "output_sha": "076a08927a351c0f32ee35bce706df144469e677",
+            "output_sha256": "2614def7b6134afb8596f0c51b38453fe7fac84ed19fa1d2a766354985653956",
+            "output_sha512": "3f567cf5a85dd781d495b3fbabcc8da059993eee81f70f79b2d8266ea124a56771d4d849c1d88d3788980ea747248feae9c773135c4b914f30c70c83216663f9",
+            "output_size": 12141,
+            "source": [],
+            "source_content": null,
+            "source_content_filename": null,
+            "source_dir": "./code",
+            "source_file": null,
+            "type": "zip"
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0
+        }
+      ]
+    },
+    {
+      "mode": "data",
+      "type": "archive_file",
+      "name": "layer",
+      "provider": "provider[\"registry.terraform.io/hashicorp/archive\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "exclude_symlink_directories": null,
+            "excludes": null,
+            "id": "b2027e85f6c1607a31456d9bab04adea560c124a",
+            "output_base64sha256": "dB5NITnNHiiWWQtFv9f3eYWRilrtiE60AJNMWRadSlA=",
+            "output_base64sha512": "YSSHtd8poCa26moOzdrQBJ8zuSK2L2N7XOIJq7KgDerdfbty2gPkcNi7Y/7jQ1UHP++Wft9vZO3P0zYO6T5tmA==",
+            "output_file_mode": null,
+            "output_md5": "777cb1543745e89136e2e9efe52b7dee",
+            "output_path": "./layer.zip",
+            "output_sha": "b2027e85f6c1607a31456d9bab04adea560c124a",
+            "output_sha256": "741e4d2139cd1e2896590b45bfd7f77985918a5aed884eb400934c59169d4a50",
+            "output_sha512": "612487b5df29a026b6ea6a0ecddad0049f33b922b62f637b5ce209abb2a00deadd7dbb72da03e470d8bb63fee34355073fef967edf6f64edcfd3360ee93e6d98",
+            "output_size": 7103838,
+            "source": [],
+            "source_content": null,
+            "source_content_filename": null,
+            "source_dir": "./layer",
+            "source_file": null,
+            "type": "zip"
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0
+        }
+      ]
+    },
+    {
+      "mode": "data",
+      "type": "aws_iam_policy_document",
+      "name": "assume_role",
+      "provider": "provider[\"registry.terraform.io/hashicorp/aws\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "id": "2690255455",
+            "json": "{\n  \"Version\": \"2012-10-17\",\n  \"Statement\": [\n    {\n      \"Effect\": \"Allow\",\n      \"Action\": \"sts:AssumeRole\",\n      \"Principal\": {\n        \"Service\": \"lambda.amazonaws.com\"\n      }\n    }\n  ]\n}",
+            "minified_json": "{\"Version\":\"2012-10-17\",\"Statement\":[{\"Effect\":\"Allow\",\"Action\":\"sts:AssumeRole\",\"Principal\":{\"Service\":\"lambda.amazonaws.com\"}}]}",
+            "override_json": null,
+            "override_policy_documents": null,
+            "policy_id": null,
+            "source_json": null,
+            "source_policy_documents": null,
+            "statement": [
+              {
+                "actions": [
+                  "sts:AssumeRole"
+                ],
+                "condition": [],
+                "effect": "Allow",
+                "not_actions": [],
+                "not_principals": [],
+                "not_resources": [],
+                "principals": [
+                  {
+                    "identifiers": [
+                      "lambda.amazonaws.com"
+                    ],
+                    "type": "Service"
+                  }
+                ],
+                "resources": [],
+                "sid": ""
+              }
+            ],
+            "version": "2012-10-17"
+          },
+          "sensitive_attributes": [],
+          "identity_schema_version": 0
+        }
+      ]
+    },
+    {
+      "mode": "managed",
+      "type": "aws_iam_role",
+      "name": "iam_for_lambda",
+      "provider": "provider[\"registry.terraform.io/hashicorp/aws\"]",
+      "instances": [
+        {
+          "schema_version": 0,
+          "attributes": {
+            "arn": "arn:aws:iam::695105795926:role/glimpse2-test",
+            "assume_role_policy": "{\"Statement\":[{\"Action\":\"sts:AssumeRole\",\"Effect\":\"Allow\",\"Principal\":{\"Service\":\"lambda.amazonaws.com\"}}],\"Version\":\"2012-10-17\"}",
+            "create_date": "2026-05-27T17:09:01Z",
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variables.tf

@@ -0,0 +1,15 @@
+variable "environment" {
+  description = "Deployment environment name"
+  type        = string
+  default     = "prod"
+}
+
+variable "region" {
+  description = "AWS region"
+  type        = string
+  default     = "us-east-1"
+}
+
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+}