It sounds like you're encountering a few issues related to the Python environment and Azure Function deployment. Let's break down the problem and address each part step-by-step.

1. Python Version Mismatch

Azure Functions may not always respect the exact version specified in your virtual environment. Azure Functions typically uses the version it has available, which in your case is 3.10.4. To ensure consistency, you should align your local and Azure environments as closely as possible.

2. Virtual Environment Configuration

The pyenv.cfg file should correctly point to your virtual environment. The home path should be /home/gv/venv/bin if that's where your virtual environment is located.

3. Deployment Configuration

Ensure that your deployment process is correctly configured to use the virtual environment and the correct Python version.

Steps to Resolve

1. Verify Virtual Environment

Make sure your virtual environment is correctly set up and the Python version is as expected.

# Activate the virtual environment
source /home/gv/venv/bin/activate

# Verify the Python version
python --version

2. Update pyenv.cfg

Ensure the pyenv.cfg file points to the correct virtual environment path.

home = /home/gv/venv/bin
include-system-site-packages = false
version = 3.10.15

3. Check Azure Function App Settings

In the Azure portal, go to your Function App settings and verify the Python version. It should be set to 3.10.

4. Update requirements.txt

Ensure your requirements.txt is up-to-date and includes all necessary dependencies.

pip freeze > requirements.txt

5. Deploy Using Azure CLI

Use the Azure CLI to deploy your function app. This ensures that the deployment process is consistent and respects your virtual environment.

# Login to Azure
az login

# Deploy the function app
func azure functionapp publish <FunctionAppName> --build-native-deps

6. Check Deployment Logs

After deployment, check the logs to ensure there are no errors related to the Python version or dependencies.

# View deployment logs
az webapp log tail --name <FunctionAppName> --resource-group <ResourceGroupName>

7. Verify Function Triggers

Ensure that your function triggers are correctly defined in your function.json files.

{
  "bindings": [
    {
      "type": "httpTrigger",
      "direction": "in",
      "authLevel": "anonymous",
      "name": "req"
    },
    {
      "type": "http",
      "direction": "out",
      "name": "$return"
    }
  ]
}

Additional Tips

• Consistency: Ensure that the Python version and environment setup are consistent between your local development environment and the Azure Function App.
• Dependencies: Double-check that all required dependencies are included in requirements.txt.
• Azure Extensions: Make sure you have the latest Azure extensions installed in Visual Studio Code.

Example requirements.txt

azure-functions
azure-storage-blob
azure-identity

Example local.settings.json

{
  "IsEncrypted": false,
  "Values": {
    "AzureWebJobsStorage": "<YourStorageConnectionString>",
    "FUNCTIONS_WORKER_RUNTIME": "python"
  }
}

By following these steps, you should be able to resolve the issues and successfully deploy your Azure Function. If you continue to encounter problems, please provide additional details about the specific errors or logs you see during deployment.