Paweł Biernat
02/19/2025, 12:07 PMMarvin
02/19/2025, 12:07 PMget_client
function to interact with the Prefect API. Here's a general approach you can follow to select task runs that have been running longer than a specific time:
1. Use the Prefect Client: Establish a connection with the Prefect API using the get_client
function.
2. Query Task Runs: Use the read_task_runs
method, applying a filter to select task runs based on their duration.
Here's a basic example in Python, assuming you want to filter task runs that have been running longer than a specific duration:
python
from prefect import get_client
from datetime import timedelta
import asyncio
async def get_long_running_tasks(min_duration_seconds):
async with get_client() as client:
# Fetch all task runs
task_runs = await client.read_task_runs()
# Filter task runs by duration
long_running_tasks = [
task_run for task_run in task_runs
if (task_run.end_time - task_run.start_time).total_seconds() > min_duration_seconds
]
return long_running_tasks
# Define the minimum duration in seconds
min_duration_seconds = 3600 # 1 hour
long_running_tasks = asyncio.run(get_long_running_tasks(min_duration_seconds))
print(long_running_tasks)
This script establishes a connection to the Prefect API, retrieves task runs, and filters them based on their duration. Adjust min_duration_seconds
to your desired threshold.
For more detailed information, you can refer to the Prefect documentation on using the client: Prefect Client Documentation.
If you need to explore more about the Prefect API, the get_client
function is part of the top-level API, as seen in the overview:
- `get_client`: Establish a connection with the Prefect API.
- `read_task_runs`: Query task runs from the API.
If you have more specific requirements or need further assistance, feel free to ask!Paweł Biernat
02/19/2025, 12:10 PMMarvin
02/19/2025, 12:11 PMTaskRunFilter
to directly filter task runs by their duration is not explicitly documented in the Prefect 3.x documentation. The TaskRunFilter
seems to be more oriented towards filtering by attributes like task run IDs.
Given this limitation, you would need to retrieve the task runs first and then apply a duration filter in your code. Here's an example of how you might do this:
python
from prefect import get_client
from datetime import timedelta
import asyncio
async def get_long_running_tasks(min_duration_seconds):
async with get_client() as client:
# Fetch all task runs
task_runs = await client.read_task_runs()
# Filter task runs by duration
long_running_tasks = [
task_run for task_run in task_runs
if (task_run.end_time - task_run.start_time).total_seconds() > min_duration_seconds
]
return long_running_tasks
# Define the minimum duration in seconds
min_duration_seconds = 3600 # 1 hour
long_running_tasks = asyncio.run(get_long_running_tasks(min_duration_seconds))
print(long_running_tasks)
This script retrieves all task runs and filters them based on the duration you specify. Unfortunately, this approach might not be the most efficient if you have a large number of task runs, but it is a workaround given the current API capabilities.
If you are looking for more advanced filtering capabilities, you might consider contributing to the Prefect project or reaching out to their community for potential feature requests.