mondras
04/18/2024, 10:08 PMMarvin
04/18/2024, 10:09 PMtimeout
parameter in the task decorator. Here's an example of how to set a timeout for a task:
python
from prefect import task
@task(timeout=600) # Timeout in seconds
async def example_task():
# Task implementation here
pass
Unfortunately, this snippet doesn't handle the flow-level timeout; however, implementing similar logic at the flow level might look something like this (though not directly supported):
python
from prefect import flow
@flow(timeout=600) # Hypothetical example, not supported in Prefect directly
async def example_flow():
# Flow implementation here
pass
2. Auto-Retry on Timeout: For automatically re-running the flow if it times out, you might consider using Prefect's retry mechanism for tasks and apply similar logic for the flow, potentially by catching the timeout exception. Unfortunately, there isn't a native flow-level auto-retry on timeout feature, based on the retrieved documents.
To set up automatic retries for tasks, you can do the following:
python
from prefect import task
@task(max_retries=3, retry_delay_seconds=10)
async def example_task():
# Task implementation here
pass
Here's an example of how you could potentially look to set up a flow retry manually by controlling the execution through another function or system:
python
from prefect import flow
def run_flow_with_retry(retries):
for _ in range(retries):
try:
example_flow()
break # Flow completed successfully, exit retry loop
except TimeoutError:
# Handle logging and waiting before the next retry
pass
run_flow_with_retry(retries=3)
However, these examples are hypothetical solutions and may not be directly applicable. For authoritative information, please refer to Prefect's official documentation for flows, and specifically look for information about flow-level timeouts and retries.
If further detail is required, consider reaching out to the Prefect community support channels or checking the Prefect GitHub repository for any issues or discussions related to your query.