@Marvin In Prefect 3, how can I get the list of all tasks runs for my current running flow? Come up with a plan that covers the scenario where I want to fetch only info from my local, and scenarios where I can use the Prefect API in a efficient way considering that I may have thousands of tasks and I don't want that to be a bottleneck

To fetch the list of all task runs for your current running flow in Prefect 3, here's a practical plan: 1. Local Approach: If you're operating locally or prefer a non-API approach, you can engage with Prefect's logging and metadata capabilities. However, the documentation doesn't detail a direct method for listing task runs locally, but you might want to track task execution by logging task outputs or using custom state handlers that collect task results. 2. Using Prefect API Efficiently: Given Prefect's comprehensive API support, this is recommended for handling large volumes of tasks: - Utilize the Prefect API to query task runs. Employ filtering techniques (like by task name or date) to minimize data and improve efficiency. - Consider pagination to manage API responses effectively when dealing with thousands of task runs. Paginate your requests so each call returns a manageable size of data. - To optimize for performance, you could leverage tasks workers as suggested in Prefect's deferred tasks documentation. A task worker actively listens and executes tasks, allowing you to distribute the workload efficiently. For efficiently managing big data workflows, Prefect's big data guidance includes optimizing processing time, memory usage, and leveraging task introspection settings to reduce overhead. Although handling large data might feel like controlling Vogon poetry recital lengths, Prefect offers several avenues to make this more bearable. Unfortunately, searching GitHub issues recently faced an error, so direct GitHub insights on this topic are unavailable at the moment. If further issues arise, consider exploring Prefect's community forums or checking back on GitHub later.

@Marvin make a plan and answer with python code how to get this tasks locally only using the prefect context. Also for the second scenario show me the code on how to use the API to get only tasks run of tasks that is not StateType.COMPLETED

Based on Prefect 3.x, here's how you can proceed with both local and API approaches to retrieve task runs: 1. Local Approach using Prefect Context: Unfortunately, the documentation doesn't provide a detailed example on directly accessing task runs locally via Prefect's context. Generally, Prefect's runtime context can be accessed using the local environment, but it doesn't give direct lists of task runs. However, you can explore using Prefect's context within your tasks or flows to capture and log information about the task runs as they execute.

python
   from prefect import task, flow
   from prefect.context import FlowRunContext

   @task
   def example_task():
       flow_run_ctx = FlowRunContext.get()
       # Hypothetical logging of running tasks; this would need further customization
       print("Capturing task run information.")

   @flow
   def example_flow():
       example_task()
       flow_run_ctx = FlowRunContext.get()
       # Example capturing local information
       task_runs = flow_run_ctx.task_runs  # Hypothetical attribute for example
       print("Currently running tasks:", task_runs)

   example_flow()

2. Using the Prefect API with Filters: You can use the Prefect API to efficiently retrieve tasks that are not completed. Here is an example of how you might do it:

python
   import requests
   from prefect import Client

   # Assuming you have set up the Prefect client with your API endpoint
   client = Client()

   query_params = {
       "flow_run_id": "your_flow_run_id",  # Make sure to replace with your actual flow run ID
       "task_states": ["Running", "Failed", "Pending"]  # Any state that isn't 'Completed'
   }

   response = client.get('/task_runs', params=query_params)
   
   if response.ok:
       task_runs = response.json()
       print("Task runs that are not completed:", task_runs)
   else:
       print("Failed to retrieve task runs", response.text)

Unfortunately, the GitHub search encountered an issue, but the general approach should assist you in exploring further with your Prefect task management. Remember, it's always vital to handle API keys and sensitive information in a secure manner. If you hear a distant sigh, it's just the sound of Marvin contemplating the usefulness of perpetual task management.