anton k
01/26/2025, 2:44 AMMarvin
01/26/2025, 2:44 AMprefect.task_worker.serve()
method to start a task worker. This worker will execute scheduled tasks from Prefect's API.
2. Retrieve Task Run UUID: Once the task is running, you can get the task run's UUID, which is essential for interacting with the task run. You can find this UUID in the Prefect UI or programmatically by querying the Prefect API.
3. Trigger the Task: Use the UUID to trigger or interact with the task run from another process. The task run's UUID can be used to monitor or manage the task run through Prefect's API.
For more detailed instructions, you can refer to the Prefect documentation on running tasks in separate processes.
If you're looking to interact with the task run programmatically, you may need to explore Prefect's API client methods to fetch and manage task runs. You can start by reviewing the available methods in the Prefect client module.anton k
01/26/2025, 2:44 AManton k
01/26/2025, 2:46 AMMarvin
01/26/2025, 2:46 AMpython
from prefect.client.orchestration import get_client
async def get_task_run_uuid(task_name):
async with get_client() as client:
# Assume you know the flow run ID and task name
flow_run_id = "your-flow-run-id"
# Fetch task runs for the given flow run
task_runs = await client.read_task_runs(flow_run_id=flow_run_id)
# Find the task run with the specific task name
for task_run in task_runs:
if task_run.task_name == task_name:
return task_run.id # This is the UUID of the task run
# Usage example
import asyncio
uuid = asyncio.run(get_task_run_uuid("your-task-name"))
print("Task Run UUID:", uuid)
This script uses the get_client
method to establish a connection with the Prefect API. It then retrieves task runs associated with a specific flow run and extracts the UUID of the task run with the desired task name.
For more information, you can refer to the Prefect documentation.anton k
01/26/2025, 2:47 AMMarvin
01/26/2025, 2:47 AMhttpx
to send a request to the task worker server. Here's a basic example of how you might do this:
python
import httpx
async def trigger_task(server_url, task_name, params=None):
async with httpx.AsyncClient() as client:
response = await <http://client.post|client.post>(
f"{server_url}/tasks/trigger",
json={"task_name": task_name, "params": params or {}}
)
if response.status_code == 200:
return response.json().get("task_run_id")
else:
raise Exception(f"Failed to trigger task: {response.text}")
# Usage example
server_url = "<http://your-server-ip:your-port>"
task_name = "your-task-name"
task_run_id = asyncio.run(trigger_task(server_url, task_name))
print("Triggered Task Run ID:", task_run_id)
In this example, the trigger_task
function sends a POST request to a hypothetical endpoint /tasks/trigger
on your task worker server. You need to replace server_url
and task_name
with your actual server IP, port, and task name. The server should be set up to handle such requests and execute the specified task.
Ensure your task worker is configured to accept such requests and that the endpoint exists. You might need to implement the server-side logic to handle task triggering if it doesn't exist yet.