Azure functions python v2 timer trigger does not deploy but status success in vs

When working with Azure Functions in Python, you may encounter issues with deploying a timer trigger function. One common problem is when the deployment status shows success in Visual Studio, but the function does not actually deploy. In this article, we will explore three different solutions to this problem.

Solution 1: Check Function Configuration

The first step in troubleshooting this issue is to ensure that the function configuration is set correctly. Open the function.json file and verify that the timer trigger is configured properly. Make sure the schedule property is set to the desired schedule for the function to trigger. Additionally, check if any other properties need to be adjusted based on your specific requirements.

  "bindings": [
      "name": "myTimer",
      "type": "timerTrigger",
      "direction": "in",
      "schedule": "0 */5 * * * *"

Solution 2: Verify Dependencies

Another possible reason for the deployment issue is missing or incorrect dependencies. Check the requirements.txt file to ensure that all the necessary packages are listed and their versions are compatible with Azure Functions Python v2. Make sure to include any custom packages or modules that your function relies on. If any dependencies are missing or incompatible, update the requirements.txt file accordingly.


Solution 3: Review Deployment Settings

If the previous solutions did not resolve the issue, it’s worth reviewing the deployment settings. Check if the deployment target is set correctly and if the necessary permissions are granted. Ensure that the Azure Functions runtime is up to date and compatible with the Python version you are using. Additionally, verify that the deployment process is not encountering any errors or conflicts.

az functionapp deployment source config-zip --resource-group myResourceGroup --name myFunctionApp --src /path/to/zip/

After trying out these three solutions, it is evident that Solution 2: Verify Dependencies is the most effective approach. In many cases, deployment issues arise due to missing or incompatible dependencies. By ensuring that all the necessary packages are listed correctly in the requirements.txt file, you can significantly improve the chances of successful deployment.

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