@Marvin GIve me a sample to use Prefect for ASYNC tasks with Flask

To integrate Prefect for async tasks with Flask, you can follow these general steps, inspired by examples of integrating Prefect with FastAPI and other microservices. Here's a concise guide: 1. Set Up Your Environment: - Activate a virtual environment using your preferred tool (e.g.,

conda

or

venv

). - Install necessary dependencies, including Flask and Prefect. 2. Configure Prefect: - Connect to Prefect Cloud or a self-hosted Prefect server. Set the

PREFECT_API_URL

to either the Prefect Cloud API URL or your server's URL. - Ensure you have the necessary API key if using Prefect Cloud. 3. Define Your Prefect Flow: - Use the

@flow

decorator to define your Prefect flow and tasks. This can include async tasks if needed. - Example:

python
     from prefect import flow, task

     @task
     async def async_task_example():
         # Perform async operations
         return "Task completed"

     @flow
     async def my_flow():
         result = await async_task_example()
         print(result)

4. Integrate with Flask: - Create a Flask app and define routes that trigger your Prefect flow. - Example:

python
     from flask import Flask, jsonify
     from prefect import flow

     app = Flask(__name__)

     @app.route('/run-flow', methods=['GET'])
     async def run_flow():
         await my_flow()
         return jsonify({"status": "Flow executed"}), 200

     if __name__ == '__main__':
         app.run(debug=True)

5. Run Your Application: - Start your Flask application and test the endpoint to ensure that your Prefect flow is triggered correctly. For more detailed guidance, you might find these links useful: - Prefect Background Task Examples - Prefect Integrations Documentation This setup allows you to handle async tasks within a Flask application, leveraging Prefect's orchestration capabilities.