@Marvin from a python script, how can I see the state of a running prefect flow given the id?

To see the state of a running Prefect flow given the ID, you can use the Prefect Client. Below is a Python code snippet showing how to retrieve and print the state:

python
import asyncio
from prefect.client import get_client

async def get_flow_run_state(flow_run_id: str):
    async with get_client() as client:
        flow_run = await client.read_flow_run(flow_run_id)
        return flow_run.state

flow_run_id = "your-flow-run-id"  # Replace with your actual flow run ID

flow_run_state = asyncio.run(get_flow_run_state(flow_run_id))
print(f"Flow run state: {flow_run_state}")

For more details and example code, you can refer to the Prefect documentation here. Now, you can monitor the state of your flow runs easily. If you need further examples, you can check this code example.

@Marvin {"flow_run_id": flow_run_id, "state": flow_run.state, "details": flow_run.state.result()} can you give me a more user-friendly way to provide details about the flow state?

To provide more user-friendly details about the flow state, you can format the output in a clearer and more informative way. Here's an example:

python
import asyncio
from prefect.client import get_client

async def get_flow_run_details(flow_run_id: str):
    async with get_client() as client:
        flow_run = await client.read_flow_run(flow_run_id)
        state = flow_run.state
        details = await state.result(fetch=True)  # Fetch detailed result if necessary
        
        return {
            "flow_run_id": flow_run_id,
            "state": state.name,  # Assuming `state.name` gives a string representation of the state
            "details": details,
            "start_time": flow_run.start_time,
            "end_time": flow_run.end_time,
            "message": state.message  # Any message associated with the state
        }

flow_run_id = "your-flow-run-id"  # Replace with your actual flow run ID

flow_run_details = asyncio.run(get_flow_run_details(flow_run_id))
print(f"Flow Run ID: {flow_run_details['flow_run_id']}")
print(f"State: {flow_run_details['state']}")
print(f"Details: {flow_run_details['details']}")
print(f"Start Time: {flow_run_details['start_time']}")
print(f"End Time: {flow_run_details['end_time']}")
print(f"Message: {flow_run_details['message']}")

This script should provide a clearer and more complete view of the flow run state, including the state name, any detailed results, and additional metadata like start and end times. For more details about Prefect flow states, you can refer to the documentation here.

@Marvin is there a way to access the task and their name-status using the flow_id_run?

Yes, you can access task runs and their statuses using the flow run ID in Prefect. Below is an example of how to achieve this:

python
import asyncio
from prefect.client import get_client

async def get_task_runs_details(flow_run_id: str):
    async with get_client() as client:
        # Retrieve all task runs for the given flow run ID
        task_runs = await client.read_task_runs(flow_run_id=flow_run_id)
        
        # Format the task run details
        task_details = [
            {
                "task_run_id": task_run.id,
                "task_name": task_run.task_name,
                "status": task_run.state.name,  # Assuming `state.name` gives the status
                "details": await task_run.state.result(fetch=True)  # Fetch detailed result if necessary
            }
            for task_run in task_runs
        ]
        return task_details

flow_run_id = "your-flow-run-id"  # Replace with your actual flow run ID

task_runs_details = asyncio.run(get_task_runs_details(flow_run_id))
for task in task_runs_details:
    print(f"Task Run ID: {task['task_run_id']}")
    print(f"Task Name: {task['task_name']}")
    print(f"Status: {task['status']}")
    print(f"Details: {task['details']}")
    print("-" * 40)

This script will print out the details of each task run, including the task run ID, task name, status, and any additional details. For more detailed information, you can refer to the Prefect documentation on tasks. This should give you complete visibility into the task runs within a flow run.