Hi ,
Thanks for reaching out to Microsoft Q&A.
The issue you're encountering is likely related to the deployment process of your Azure Functions app. When you include additional Python packages (example: pymssql
or pandas
), Azure Functions needs to ensure those dependencies are correctly installed and included during the deployment. Here's how you can troubleshoot and resolve the issue:
Steps to Fix the Deployment Issue:
- Ensure Correct Dependency Management
- Verify your
requirements.txt
includes all the dependencies your function needs, such as:pymssql==2.2.5
- Verify your
pandas ```
- Place `requirements.txt` in the root directory of your Azure Function app.
**Check Python Version Compatibility**
- Ensure that the version of Python (3.11) you are using in Azure is compatible with the libraries listed in your `requirements.txt`.
- Note: Some libraries may not yet fully support Python 3.11. You can check library compatibility in their documentation or try using Python 3.9 as a fallback (Python 3.9 is well-supported in Azure Functions).
- Enable Remote Build for Dependencies
- By default, Azure Functions on Linux uses remote build to install dependencies. Ensure remote build is enabled in your deployment settings. To do so:
bash func azure functionapp publish <FUNCTION_APP_NAME> --build remote
- Alternatively, set the
--build remote
flag when deploying via Azure CLI or in your CI/CD pipeline.
- Alternatively, set the
- By default, Azure Functions on Linux uses remote build to install dependencies. Ensure remote build is enabled in your deployment settings. To do so:
- Create a
.python_packages
Folder Locally- If you are deploying from your local machine without remote build, ensure dependencies are pre-installed. Run:
bash pip install -r requirements.txt --target=.python_packages/lib/site-packages
- Ensure the
.python_packages
directory is included in your deployment.
- Review deployment logs in the Azure Portal to identify the exact cause of the failure. Logs can be found under Azure Functions App > Monitoring > Log Stream or Deployment Center.
- Ensure the
- If you are deploying from your local machine without remote build, ensure dependencies are pre-installed. Run:
- Upgrade Azure Functions Core Tools
- If you're using Azure Functions Core Tools locally for deployment, ensure you're using the latest version:
bash npm install -g azure-functions-core-tools@4 --unsafe-perm
- Older versions may not handle dependency installations correctly.
- If you're using Azure Functions Core Tools locally for deployment, ensure you're using the latest version:
- Use App Service Storage for Large Dependencies
- If your dependencies are large (ex:
pandas
), you might run into deployment size limits. In this case:- Enable **App Service Storage** for your Azure Function app: - Go to **Azure Portal** > **Function App Settings** > **Configuration** > **General Settings**. - Set `WEBSITE_RUN_FROM_PACKAGE` to `1`. - Package your dependencies in a zip file and upload it to a storage account. Update the function app to reference this package.
- If your dependencies are large (ex:
- Switch to Docker for Deployment (Optional)
- If remote builds are still causing issues, consider deploying using a custom Docker container with all dependencies pre-installed. This approach gives you full control over the environment.
- Create a
Dockerfile
like this:FROM mcr.microsoft.com/azure-functions/python:4-python3.11
- Create a
COPY . /home/site/wwwroot RUN pip install -r /home/site/wwwroot/requirements.txt ```
- Build and deploy:
bash docker build -t <your-container-name> .
docker push <your-container-name> ```
- Test Dependency Compatibility in Azure
- Verify that your dependencies are compatible with Azure’s runtime environment. Azure Functions may have specific restrictions based on the underlying platform.
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