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Learn how to resolve common issues when executing Azure Functions with Python in Visual Studio Code, including troubleshooting the TLS version error.
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Troubleshooting Azure Functions with Python in Visual Studio Code: A Step-by-Step Guide

Are you facing issues when trying to execute your Azure Functions code in Python from Visual Studio Code? You are not alone! Many developers encounter problems, particularly when setting up their environment and executing their functions for the first time. In this post, we’ll explore the common errors associated with Azure Functions, specifically focusing on a typical case where users encounter a startup error.

The Problem: Encountering Startup Errors in Azure Functions

In our example, a developer attempted to run a simple "Hello World" code using a Blob Storage trigger, only to be faced with a frustrating error message. Here’s a summary of the key components from the error:

Python Version: 3.8.0

Azure Functions Core Tools version: 3.0.2881

Function Runtime Version: 3.0.14287.0

Error Details: Issues related to copying content to a stream, with a specific mention of the TLS version.

As a result, the application was shutting down unexpectedly, and it was causing confusion on how to resolve the issue.

The Solution: Step-by-Step Guide to Fixing the Issue

When dealing with errors like the one described, it’s crucial to break down the problem and understand potential fixes. Here’s how you can approach this situation:

1. Check TLS Version

One of the primary suspects in this case is the TLS (Transport Layer Security) version your environment is using. Errors during the transport stream often relate back to outdated or mismatched TLS configurations.

Recommended Action:

Ensure your system is updated to support the latest TLS versions.

Check any related configurations in your Python environment or network settings that might restrict access.

2. Creating a Python-based Function App Directly in Azure

If testing locally is proving challenging, consider directly creating a Python-based function app in Azure. This allows you to bypass local dependencies and potentially identify if the error lies within your local setup.

Steps to Create Directly in Azure:

Log in to your Azure portal.

Navigate to "Function Apps."

Click on “Create” and follow the wizard for Python.

3. Testing with Ordinary Python Scripts

For Blob triggers specifically, you can simulate processing data in a more straightforward context. You may write standard Python scripts to run independently, testing the core functionality outside of Azure's constraints first.

How to Simulate:

Create simple scripts that mimic the data transformations you intend to implement.

Once satisfactory results are achieved, integrate this code back into the Azure Functions.

4. Review Your Code and Configuration Files

Finally, it’s vital to ensure that your code and configuration files are properly set up. Sometimes, the simplest mistakes can lead to complex errors.

Checks to Perform:

Review init.py and ensure no changes are necessary.

Inspect function.json for accurately configured bindings (such as Blob trigger).

Ensure your local development environment matches Azure’s requirements.



By following these steps, you should be able to troubleshoot and address the errors you're experiencing with Azure Functions when using Python in Visual Studio Code.

If these suggestions do not resolve your issue, don’t hesitate to share your code and configuration files in community forums for more direct assistance. Often, the community can provide insights and suggestions based on similar experiences.

With patience and a methodical approach, you'll be well on your way to running your Azure Functions successfully. Happy coding!