@Marvin, if I run

prefect worker start

instead of

prefect agent start

, I get this error

Discovered type 'prefect-agent' for work pool '<>'.
'prefect-agent' typed work pools work with Prefect Agents instead of Workers.
Please use the 'prefect agent start' to start a Prefect Agent.

can you tell me how to solve it?

@Marvin How can I use the prefect-sqlalchemy package to fetch data from sql server?

Hi! I’ve been encountering below error with self-hosted prefect server. Have verified worker was deployed to the same namespace. Any ideas? Prefect version: 3.0.4 Server/worker chart version: 2024.10.1175730

Failed to submit flow run '46744906-60cd-410c-a04c-12d7a80917cf' to infrastructure.
Traceback (most recent call last):
  File "/usr/local/lib/python3.11/site-packages/prefect/workers/base.py", line 985, in _submit_run_and_capture_errors
    await self._give_worker_labels_to_flow_run(flow_run.id)
  File "/usr/local/lib/python3.11/site-packages/prefect/workers/base.py", line 1232, in _give_worker_labels_to_flow_run
    await self._client.update_flow_run_labels(flow_run_id, labels)
  File "/usr/local/lib/python3.11/site-packages/prefect/client/orchestration/__init__.py", line 2950, in update_flow_run_labels
    response = await self._client.patch(
               ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1933, in patch
    return await self.request(
           ^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/httpx/_client.py", line 1540, in request
    return await self.send(request, auth=auth, follow_redirects=follow_redirects)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/prefect/client/base.py", line 355, in send
    response.raise_for_status()
  File "/usr/local/lib/python3.11/site-packages/prefect/client/base.py", line 163, in raise_for_status
    raise PrefectHTTPStatusError.from_httpx_error(exc) from exc.__cause__
prefect.exceptions.PrefectHTTPStatusError: Client error '404 Not Found' for url '<http://prefect-server>.{namespace}.svc.cluster.local:4200/api/flow_runs/46744906-60cd-410c-a04c-12d7a80917cf/labels'
Response: {'detail': 'Not Found'}

Is

prefect.context.get("scheduled_start_time")

timezone aware? if not, is there an assumed timezone of UTC? If I schedule my flow with something like

CronSchedule(cron, start_date=pendulum.datetime(2021, 1, 1, tz=tz))

will the "scheduled_start_time" have the same timezone as the cron schedule?

Hi all. I just started using prefect and am trying to deploy my first flow. I can successfully deploy a python file, but the error I get is: Failed to start process for flow run 'd7c862c3-f1f2-4cbd-b00d-b1248a9add0f'. FileNotFoundError: [Errno 2] No such file or directory: '/Users/caseym/PycharmProjects/virtual' Is this because I deployed while in a virtual environment? I'm using PyCharm. Any tips?

@Marvin I am trying to source my flow code from a GitHub repo, I have structured .yaml for the deployment to pull(clone) the GitHub repo with the flow code file but somehow the deployment process is looking for the flow code file in my local directory not on remote storage (GitHub) defined in the .yaml file

I’m running a prefect flow that moves a large amount of files from s3 to google cloud storage. When there are a relatively small amount of files to transfer, it’s quick. But as the files to transfer grow and especially if file size is large, the prefect process takes up increasingly large amounts of memory. I am using the

S3Download

and

GCSUpload

tasks. My suspicion is that the flow is not releasing the memory of the files being transferred. Is there any way to ensure the file contents are being released from memory?

Hello, Is there any way to implement a dropdown selection on the UI when starting a custom run for a deployment? Update: Solved!

Hi again 😄 I just got the error

No heartbeat detected from the remote task; marking the run as failed

- this happend for tasks being run in parallel via the dask

KubeCluster

looking at our (internal) logs - it seems like all of them died simultaneously, 20+ minutes into their run there’s a total of 58 tasks being run, with 4 workers the first 4 tasks took approx. 1 hour to run and completed successfully, and then the next 4 that were run all seem to have failed simultaneously any idea / help?

Hi @Marvin I keep getting a

Flow run infrastructure exited with non-zero status code:
 Task flow-run-e2436ff7-ca28-42ef-ae21-f65e022fdd61-b643cc869097gvjwk-task0 failed with message: The container exited with an error. (Error Code: 1)

When I make a deployment to a prefect managed work-pool. The task is a simple print line so not sure what’s going on.