azure-functions-doctor 0.16.1

Diagnostic tool for Azure Functions Python v2 programming model

Azure Functions Doctor

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Azure Functions Doctor is the pre-deploy health gate for Azure Functions Python v2 projects — a diagnostic CLI that catches configuration issues, missing dependencies, and environment problems before they cause runtime failures in production.

Why Use It

Deploying a broken Azure Functions app is expensive: the worker starts, the host reads config, and only then does it surface the issue — in a production log. azure-functions-doctor moves that failure left.

Common issues it catches before deployment:

• Python version mismatch with the Azure Functions runtime
• Missing host.json or misconfigured extensionBundle
• azure-functions package not declared in requirements.txt
• v2 programming model decorators not detected (wrong project structure)
• Azure Functions Core Tools not installed or outdated
• Virtual environment not activated or missing
• Application Insights key not configured (optional but recommended)
• Durable Functions host configuration incomplete

Run it locally, in CI, or as a pre-commit hook.

Scope

This repository targets the decorator-based Azure Functions Python v2 programming model only.

• Supported model: func.FunctionApp() with decorators such as @app.route()
• Unsupported model: legacy function.json-based Python v1 projects

Use azure-functions-doctor as part of a pre-deployment checklist alongside azure-functions-logging for observability.

Installation

From PyPI:

pip install azure-functions-doctor

From source:

git clone https://github.com/yeongseon/azure-functions-doctor.git
cd azure-functions-doctor
python3 -m venv .venv
source .venv/bin/activate
pip install -e .

Quick Start

Run the doctor in the current project:

azure-functions doctor

Run against a specific project:

azure-functions doctor --path ./examples/v2/http-trigger

Use a required-only profile:

azure-functions doctor --profile minimal

Output JSON for CI:

azure-functions doctor --format json

CI Integration

Use azure-functions-doctor as a CI gate to block deployments on required failures.

GitHub Actions (CLI)

- name: Run azure-functions-doctor
  run: |
    pip install azure-functions-doctor
    azure-functions doctor --profile minimal --format json --output doctor.json

- name: Upload report
  if: always()
  uses: actions/upload-artifact@v4
  with:
    name: doctor-report
    path: doctor.json

Official GitHub Action

- uses: yeongseon/azure-functions-doctor@v1
  with:
    path: .
    profile: minimal
    format: sarif
    output: doctor.sarif
    upload-sarif: "true"

See docs/examples/ci_integration.md for Azure DevOps, pre-commit, VS Code, and SARIF upload examples.

Demo

The demo below is generated from demo/doctor-demo.tape with VHS. It runs the real azure-functions doctor CLI against the representative example and then against an intentionally broken copy to show the pass/fail contrast.

The final terminal state is also captured as a static image for quick inspection.

Features

The default ruleset includes checks for:

• Azure Functions Python v2 decorator usage
• Python version
• virtual environment activation
• Python executable availability
• requirements.txt
• azure-functions dependency declaration
• host.json
• local.settings.json (optional)
• Azure Functions Core Tools presence and version (optional)
• Durable Functions host configuration (optional)
• Application Insights configuration (optional)
• extensionBundle configuration (optional)
• ASGI/WSGI callable exposure (optional)
• common unwanted files in the project tree (optional)

Examples

• examples/v2/http-trigger/README.md
• examples/v2/multi-trigger/README.md

Requirements

• Python 3.10+
• Hatch for development workflows
• Azure Functions Core Tools v4+ recommended for local runs

Documentation

• docs/index.md
• docs/usage.md
• docs/rules.md
• docs/diagnostics.md
• docs/development.md
• docs/examples/ci_integration.md

Ecosystem

• azure-functions-validation — Request and response validation
• azure-functions-openapi — OpenAPI and Swagger UI
• azure-functions-logging — Invocation-aware observability helper
• azure-functions-scaffold — Project scaffolding
• azure-functions-python-cookbook — Recipes and examples

Disclaimer

This project is an independent community project and is not affiliated with, endorsed by, or maintained by Microsoft.

Azure and Azure Functions are trademarks of Microsoft Corporation.

License

MIT