Azure Python Function V2 Programing Model not showing function even after Deployment in Azure

Question

I wanted to deploy CRON Timer Trigger using Azure Function in Python. I tried to deploy it using VS Code.

Here are the steps I followed:

Step 1: Installed all the following prerequisites:

Installed Azure Core Tools v4
Have Azurite V3 Extension Installed.
Working in Python 3.11.8.
Latest version of VS Code in Windows
Azure Function Extension installed

Step 2: Created Azure Python Function with Consumption Plan

Step 3: Created a Function App with Python v2 Model

Used VS Code Azure Extension to create Function locally

Step 4: After doing required changes in default function code, I tried to deploy that using VS Code Azure Extension by selecting the required function app: Deployed using following Azure Extension

Step 5: Checked for deployment status. In VS Code it is shown as successful. In Portal all files which are not ignored, are uploaded to the Azure Function Resource but it's not showing as a function.

Function is not showing up in overview

However I can see files successfully deployed in App File Section

Step 6: Also I have checked deployed Azure Function in VS Code but I can't see function.json under Function.

Cross checked in VS Code

My function_app.py looks like the following:

import logging
import azure.functions as func
import traceback
import uuid
from tqdm import tqdm
import requests
from dotenv import load_dotenv
import os
from datetime import datetime,timedelta
import time
from dateutil.relativedelta import relativedelta
import inflect
import logging
######################################## VARIABLES ########################################
# Load environment variables from .env file
load_dotenv()
# Define authentication parameters for power platform datavese
tenant_id = os.environ.get('TenantId')
client_id = os.environ.get('ClientId')
client_secret = os.environ.get('ClientSecret')
resource = os.environ.get('Resource')

# Constants
MAX_RETRIES = 5  # Maximum number of retries
BASE_DELAY = 1.0  # Base delay in seconds for the exponential backoff
MAX_DELAY = 60.0  # Maximum delay in seconds for the exponential backoff
BATCH_SIZE = 1000  # Batch size for logging purposes
RATE_LIMIT = 6000  # Maximum number of requests per time window
TIME_WINDOW = 300  # Time window in seconds for rate limiting
CONCURRENT_REQUESTS = 100  # Maximum number of concurrent requests

# Audit Management Table
AuditManagement = os.environ.get('AuditManagement')

# Endpoint    
odata_endpoint = f"{resource}/api/data/v9.2/"
# Date variables
date_today = datetime.utcnow()
# Prefixes
prefixes = os.environ.get("Prefixes").split(",")
# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Handle Error
def handle_error(exception):
    print(f"An error occurred: {exception}")

######################################## Fetch Token ########################################
def fetchToken():
    token_url = f'https://login.microsoftonline.com/{tenant_id}/oauth2/token'
    #print("app_registration_token_url :",token_url)
    token_data = {
        'grant_type': 'client_credentials',
        'client_id': client_id,
        'client_secret': client_secret,
        'resource': resource
    }
    token_response = requests.post(token_url, data=token_data)
    #print("token_response",token_response)
    access_token = token_response.json()['access_token']
    print("access_token : ",access_token)
    return access_token

######################################## Fetch Audit Management Table ########################################
headers = {
        "Authorization": f"Bearer {fetchToken()}",
        "Accept": "application/json",
        "Content-Type": "application/json"
    }
post_headers = {
    'Authorization': f'Bearer {fetchToken()}',
    'OData-MaxVersion': '4.0',
    'OData-Version': '4.0',
    'Accept': 'application/json',
    'If-None-Match': 'null'
}
def fetch_audit_management():
    logging.info(f'------------Table Records--------------------')
    try:
        full_url = f"{odata_endpoint + AuditManagement}"
        print("full_url : ",full_url)
        response = requests.get(full_url, headers=headers)
        if response.status_code == 200:
            data = response.json()
            records = data.get("value", [])
            if not records:
                print("No records fetched for While Active")
                logging.info("No records fetched for While Active")
                return("No records fetched")
            else:
                logging.info("Records fetched for While Active")
                return records
        else:
            logging.info(f"Failed to retrieve records. Status code: {response.status_code}")
            print(f"Failed to retrieve records. Status code: {response.status_code}")
    except Exception as e:
        handle_error(e)
        return None  # Return None when an error occurs

 
app = func.FunctionApp()
@app.schedule(schedule="0 0 4 * * *", arg_name="myTimer", run_on_startup=False,
              use_monitor=False)
def amr_timer_trigger(myTimer: func.TimerRequest) -> None:
    start_time = time.time()
    # Log the start of Azure Function execution in hh:mm:ss format
    logging.info(f'timer trigger function executed at: {time.strftime("%H:%M:%S")}')
    if myTimer.past_due:
        logging.info('The timer is past due!')
    else:
        try:
        ###### Comment : Fetching while active entity from  Table
            logging.info(f'

Fetching while active entity from Table')
            records = fetch_audit_management()

            # Iterating over entites fetched
            logging.info(f'Iterating over entites fetched from Table')
            for record in records:    
                logging.info(f'

Fetched Records: {record}')
        except Exception as e:
            handle_error(e)

    logging.info('AMR timer trigger function executed in %s seconds', time.time() - start_time)

requirements.txt

azure-functions
python-dotenv
requests
python-dateutil
inflect
tqdm

local.settings.json

{
  "IsEncrypted": false,
  "Values": {
    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
    "FUNCTIONS_WORKER_RUNTIME": "python",
    "AzureWebJobsFeatureFlags": "EnableWorkerIndexing"
  }
}

Any help or suggestions will be appreciated as I want to test the deployment reliably.

I tried all the above-mentioned steps. The expected results is successful deployment of Azure Function.

Azure Python Function V2 Programing Model not showing function even after Deployment in Azure

Answers (1)

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