function app - for reuse

src/.funcignore

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+.git*
+.vscode
+__azurite_db*__.json
+__blobstorage__
+__queuestorage__
+local.settings.json
+test
+.venv

src/.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don’t work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# Azure Functions artifacts
+bin
+obj
+appsettings.json
+local.settings.json
+
+# Azurite artifacts
+__blobstorage__
+__queuestorage__
+__azurite_db*__.json
+.python_packages

src/.vscode/extensions.json

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+{
+  "recommendations": [
+    "ms-azuretools.vscode-azurefunctions",
+    "ms-python.python"
+  ]
+}

src/.vscode/launch.json

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+{
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Attach to Python Functions",
+            "type": "debugpy",
+            "request": "attach",
+            "connect": {
+                "host": "localhost",
+                "port": 9091
+            },
+            "preLaunchTask": "func: host start"
+        }
+    ]
+}

src/.vscode/settings.json

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+{
+    "azureFunctions.deploySubpath": ".",
+    "azureFunctions.scmDoBuildDuringDeployment": true,
+    "azureFunctions.pythonVenv": ".venv",
+    "azureFunctions.projectLanguage": "Python",
+    "azureFunctions.projectRuntime": "~4",
+    "debug.internalConsoleOptions": "neverOpen",
+    "azureFunctions.projectLanguageModel": 2
+}

src/.vscode/tasks.json

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+{
+	"version": "2.0.0",
+	"tasks": [
+		{
+			"type": "func",
+			"label": "func: host start",
+			"command": "host start",
+			"problemMatcher": "$func-python-watch",
+			"isBackground": true,
+			"dependsOn": "pip install (functions)"
+		},
+		{
+			"label": "pip install (functions)",
+			"type": "shell",
+			"osx": {
+				"command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
+			},
+			"windows": {
+				"command": "${config:azureFunctions.pythonVenv}\\Scripts\\python -m pip install -r requirements.txt"
+			},
+			"linux": {
+				"command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
+			},
+			"problemMatcher": []
+		}
+	]
+}

src/function_app.py

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+import logging
+import azure.functions as func
+from azure.ai.formrecognizer import DocumentAnalysisClient
+from azure.core.credentials import AzureKeyCredential
+from azure.cosmos import CosmosClient, PartitionKey, exceptions
+from azure.identity import DefaultAzureCredential
+import os
+import uuid
+
+app = func.FunctionApp(http_auth_level=func.AuthLevel.FUNCTION)
+
+## DEFINITIONS 
+def initialize_form_recognizer_client():
+    endpoint = os.getenv("FORM_RECOGNIZER_ENDPOINT")
+    key = os.getenv("FORM_RECOGNIZER_KEY")
+    if not isinstance(key, str):
+        raise ValueError("FORM_RECOGNIZER_KEY must be a string")
+    logging.info(f"Form Recognizer endpoint: {endpoint}")
+    return DocumentAnalysisClient(endpoint=endpoint, credential=AzureKeyCredential(key))
+
+def read_pdf_content(myblob):
+    logging.info(f"Reading PDF content from blob: {myblob.name}")
+    return myblob.read()
+
+def analyze_pdf(form_recognizer_client, pdf_bytes):
+    logging.info("Starting PDF analysis.")
+    poller = form_recognizer_client.begin_analyze_document(
+        model_id="prebuilt-invoice",
+        document=pdf_bytes
+    )
+    logging.info("PDF analysis in progress.")
+    return poller.result()
+
+def extract_invoice_data(result):
+    logging.info("Extracting invoice data from analysis result.")
+    invoice_data = {
+        "id": str(uuid.uuid4()),
+        "customer_name": "",
+        "customer_email": "",
+        "customer_address": "",
+        "company_name": "",
+        "company_phone": "",
+        "company_address": "",
+        "rentals": []
+    }
+
+    def serialize_field(field):
+        if field:
+            return str(field.value)  # Convert to string
+        return ""
+
+    for document in result.documents:
+        fields = document.fields
+        invoice_data["customer_name"] = serialize_field(fields.get("CustomerName"))
+        invoice_data["customer_email"] = serialize_field(fields.get("CustomerEmail"))
+        invoice_data["customer_address"] = serialize_field(fields.get("CustomerAddress"))
+        invoice_data["company_name"] = serialize_field(fields.get("VendorName"))
+        invoice_data["company_phone"] = serialize_field(fields.get("VendorPhoneNumber"))
+        invoice_data["company_address"] = serialize_field(fields.get("VendorAddress"))
+
+        items = fields.get("Items").value if fields.get("Items") else []
+        for item in items:
+            item_value = item.value if item.value else {}
+            rental = {
+                "rental_date": serialize_field(item_value.get("Date")),
+                "title": serialize_field(item_value.get("Description")),
+                "description": serialize_field(item_value.get("Description")),
+                "quantity": serialize_field(item_value.get("Quantity")),
+                "total_price": serialize_field(item_value.get("TotalPrice"))
+            }
+            invoice_data["rentals"].append(rental)
+
+    logging.info(f"Successfully extracted invoice data: {invoice_data}")
+    return invoice_data
+
+def save_invoice_data_to_cosmos(invoice_data):
+    try:
+        endpoint = os.getenv("COSMOS_DB_ENDPOINT")
+        key = os.getenv("COSMOS_DB_KEY")
+        aad_credentials = DefaultAzureCredential()
+        client = CosmosClient(endpoint, credential=aad_credentials, consistency_level='Session')
+        logging.info("Successfully connected to Cosmos DB using AAD default credential")
+    except Exception as e:
+        logging.error(f"Error connecting to Cosmos DB: {e}")
+        return
+
+    database_name = "ContosoDBDocIntellig"
+    container_name = "Invoices"
+
+
+    try: # Check if the database exists
+        # If the database does not exist, create it
+        database = client.create_database_if_not_exists(database_name)
+        logging.info(f"Database '{database_name}' does not exist. Creating it.")
+    except exceptions.CosmosResourceExistsError: # If error get name, keep going 
+        database = client.get_database_client(database_name)
+        logging.info(f"Database '{database_name}' already exists.")
+
+    database.read()
+    logging.info(f"Reading into '{database_name}' DB")
+
+    try: # Check if the container exists
+        # If the container does not exist, create it
+        container = database.create_container(
+            id=container_name,
+            partition_key=PartitionKey(path="/transactionId"),
+            offer_throughput=400
+        )
+        logging.info(f"Container '{container_name}' does not exist. Creating it.")
+    except exceptions.CosmosResourceExistsError:
+        container = database.get_container_client(container_name)
+        logging.info(f"Container '{container_name}' already exists.")
+    except exceptions.CosmosHttpResponseError:
+        raise
+
+    container.read()
+    logging.info(f"Reading into '{container}' container")
+
+    try:
+        response = container.upsert_item(invoice_data)
+        logging.info(f"Saved processed invoice data to Cosmos DB: {response}")
+    except Exception as e:
+        logging.error(f"Error inserting item into Cosmos DB: {e}")
+
+## MAIN 
+@app.blob_trigger(arg_name="myblob", path="pdfinvoices/{name}",
+                  connection="invoicecontosostorage_STORAGE")
+def BlobTriggerContosoPDFInvoicesDocIntelligence(myblob: func.InputStream):
+    logging.info(f"Python blob trigger function processed blob\n"
+                 f"Name: {myblob.name}\n"
+                 f"Blob Size: {myblob.length} bytes")
+
+    try:
+        form_recognizer_client = initialize_form_recognizer_client()
+        pdf_bytes = read_pdf_content(myblob)
+        logging.info("Successfully read PDF content from blob.")
+    except Exception as e:
+        logging.error(f"Error reading PDF: {e}")
+        return
+
+    try:
+        result = analyze_pdf(form_recognizer_client, pdf_bytes)
+        logging.info("Successfully analyzed PDF using Document Intelligence.")
+    except Exception as e:
+        logging.error(f"Error analyzing PDF: {e}")
+        return
+
+    try:
+        invoice_data = extract_invoice_data(result)
+        logging.info(f"Extracted invoice data: {invoice_data}")
+    except Exception as e:
+        logging.error(f"Error extracting invoice data: {e}")
+        return
+
+    try:
+        save_invoice_data_to_cosmos(invoice_data)
+        logging.info("Successfully saved invoice data to Cosmos DB.")
+    except Exception as e:
+        logging.error(f"Error saving invoice data to Cosmos DB: {e}")

src/host.json

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+{
+  "version": "2.0",
+  "logging": {
+    "applicationInsights": {
+      "samplingSettings": {
+        "isEnabled": true,
+        "excludedTypes": "Request"
+      }
+    }
+  },
+  "extensionBundle": {
+    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "version": "[4.*, 5.0.0)"
+  }
+}

src/requirements.txt

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+# DO NOT include azure-functions-worker in this file
+# The Python Worker is managed by Azure Functions platform
+# Manually managing azure-functions-worker may cause unexpected issues
+
+azure-functions
+azure-ai-formrecognizer
+azure-core
+azure-cosmos==4.3.0
+azure-identity==1.7.0