try and run, and if it fails expire the job after 60 seconds of trying?
related question: I am trying to setup a resource manager to do some larger-than-memory computations within a task. I wanted to start simple, but even the example gives the following error for me:
multiprocessing\spawn.py", line 134, in _check_not_importing_main raise RuntimeError(''' RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. This probably means that you are not using fork to start your child processes and you have forgotten to use the proper idiom in the main module: if __name__ == '__main__': freeze_support() ... The "freeze_support()" line can be omitted if the program is not going to be frozen to produce an executable.
) already look very docker-name like It seems like it'd be pretty slick if the
then also used the same name for launching containerized flows. Not strictly needed, and maybe only relevant for our setup where our log aggregator shows the container name that the logs came from
We could not delete your flow. Please try again. If this problem continues, contact <mailto:firstname.lastname@example.orgemail@example.com>
Maybe this is causing issues for the dashboard (even though I can see a flows runs without issue if I navigate to the url). Currently the IP address of the server is only accessible within a VPN so we have been using http, and it used to be fine. Is there a way of saying “Dont care about this?” or a way of attaching a certificate to a given service. Very similar to this old bug here: https://github.com/PrefectHQ/ui/issues/588 Did some env vars not propagate correctly again? Confused as to why this used to work, but a redeploy from the prefect images no longer does so
Uncaught (in promise) AuthSdkError: PKCE requires a modern browser with encryption support running in a secure context. The current page is not being served with HTTPS protocol. PKCE requires secure HTTPS protocol.
TypeError: ‘ContextualVersionConflict’ object is not iterableI have a flow that I am trying to call
on to run it locally.