Hi I am getting the following error when I run Prefect agent

Question

Hi I am getting the following error when I run Prefect agent looking for flows deployed from a python script running on a Windows laptop Further details in the thread 09 28 36 300 | INFO | prefect agent Submitting flow run ae7d9532 0a2b 42a6 bbfb 18f3f987098a 09 28 41 921 | INFO | prefect agent Submitting flow run ae7d9532 0a2b 42a6 bbfb 18f3f987098a 09 28 46 342 | INFO | prefect infrastructure process Opening process bouncy dalmatian 09 28 46 342 | INFO | prefect agent Completed submission of flow run ae7d9532 0a2b 42a6 bbfb 18f3f987098a 09 28 50 680 | ERROR | Flow run bouncy dalmatian Flow could not be retrieved from deployment Traceback most recent call last File D Raghu venv lib site packages prefect engine py line 254 in retrieve flow then begin flow run flow = await load flow from flow run flow run client=client File D Raghu venv lib site packages prefect client py line 104 in with injected client return await fn args kwargs File D Raghu venv lib site packages prefect deployments py line 55 in load flow from flow run await storage block get directory from path=None local path= File D Raghu venv lib site packages prefect filesystems py line 100 in get directory shutil copytree from path local path dirs exist ok=True File D Raghu Python lib shutil py line 566 in copytree with os scandir src as itr FileNotFoundError WinError 3 The system cannot find the path specified C Users HOME AppData Local Temp tmpl2td 44jprefect 09 28 51 663 | INFO | prefect infrastructure process Process bouncy dalmatian exited cleanly

Venkat Ramakrishnan · Answer

The program ``` task def print hello print Hello Now flow def print pipeline new print hello deployment = Deployment build from flow flow=print pipeline new name= Pipeline Deployment version= 1 tags= tag schedule= interval 120 timezone Asia Kolkata work queue name= new work queue deployment apply ```

Venkat Ramakrishnan · Answer

Version 2 2 0 API version 0 8 0 Python version 3 9 13 Git commit e3651362 Built Tue Aug 23 2022 2 18 PM OS Arch win32 AMD64 Profile masked Server type hosted

Venkat Ramakrishnan · Answer

It ran one time printing Hello Now and subsequent scheduled runs fail with the same error Any help would be appreciated Thanks

Anna Geller · Answer

it looks like a path issue when building deployment from Python I believe this is fixed in the main branch and will be released next week until now can you try using CLI to build and apply deployment This post explains how <https medium com the prefect blog declarative dataflow deployments with prefect make ci cd a breeze fe77bdbb58d4>

Anna Geller · Answer

this may also help <https discourse prefect io t prefect deployments faq 1467>

Venkat Ramakrishnan · Answer

Thank you so much for the update Any chances of fix being available by 1st or 2nd I have a deadline on 5th If it won t be available by 2nd I will go for the CLI option Thanks

Anna Geller · Answer

no guarantee on when the release will happen and I would personally recommend the CLI approach anyway because I believe it provides a better UX keep us posted if the CLI fixed the issue for you

Venkat Ramakrishnan · Answer

Got Prefect 2 3 0 just now hopefully the python path problem is fixed in it Got to try Before that I have this question ```deployment = Deployment build from flow flow name=workflow orchestration name= Workflow Orchestration version= 1 tags= Iris schedule= interval 600 timezone Asia Kolkata ``` I want to provide schedules like every hour once in a week once in a month etc In CLI I saw something like rrule option for frequency based scheduling What is the equivalent option in Python I searched online but I could not find a comprehensive documentation that explains with examples Thanks

Anna Geller · Answer

This could help <https discourse prefect io t does prefect 2 0 support filters and adjustments e g to restrict the schedule to only run during business hours 856 2|https discourse prefect io t does prefect 2 0 support filters and adjustments e g to restrict the schedule to only run during business hours 856 2>

Venkat Ramakrishnan · Answer

By the way Prefect 2 3 0 didn t fix the issue of agent traceback venv D Raghu gProject gt prefect agent start q hour work queue Starting v2 3 0 agent connected to | | | | | | | | | | | || || | | | | || ` | | | | | | | | | | | | | | | | | | | Agent started Looking for work from queue s hour work queue 00 15 32 074 | ERROR | prefect agent Traceback most recent call last File D Raghu Python lib asyncio windows events py line 462 in finish recv return ov getresult OSError WinError 64 The specified network name is no longer available During handling of the above exception another exception occurred Traceback most recent call last File D Raghu Python lib asyncio proactor events py line 280 in loop reading data = fut result File D Raghu Python lib asyncio windows events py line 817 in poll value = callback transferred key ov File D Raghu Python lib asyncio windows events py line 466 in finish recv raise ConnectionResetError exc args ConnectionResetError WinError 64 The specified network name is no longer available The above exception was the direct cause of the following exception Traceback most recent call last File D Raghu venv lib site packages httpcore exceptions py line 8 in map exceptions yield File D Raghu venv lib site packages httpcore backends asyncio py line 33 in read return await self stream receive max bytes=max bytes File D Raghu venv lib site packages anyio backends asyncio py line 1274 in receive raise self protocol exception anyio BrokenResourceError During handling of the above exception another exception occurred Traceback most recent call last File D Raghu venv lib site packages httpx transports default py line 60 in map httpcore exceptions yield File D Raghu venv lib site packages httpx transports default py line 353 in handle async request resp = await self pool handle async request req File D Raghu venv lib site packages httpcore async connection pool py line 253 in handle async request raise exc File D Raghu venv lib site packages httpcore async connection pool py line 237 in handle async request response = await connection handle async request request File D Raghu venv lib site packages httpcore async connection py line 90 in handle async request return await self connection handle async request request File D Raghu venv lib site packages httpcore async http11 py line 105 in handle async request raise exc File D Raghu venv lib site packages httpcore async http11 py line 84 in handle async request = await self receive response headers kwargs File D Raghu venv lib site packages httpcore async http11 py line 148 in receive response headers event = await self receive event timeout=timeout File D Raghu venv lib site packages httpcore async http11 py line 177 in receive event data = await self network stream read File D Raghu venv lib site packages httpcore backends asyncio py line 35 in read return b File D Raghu Python lib contextlib py line 137 in exit self gen throw typ value traceback File D Raghu venv lib site packages httpcore exceptions py line 12 in map exceptions raise to exc exc httpcore ReadError The above exception was the direct cause of the following exception Traceback most recent call last File D Raghu venv lib site packages prefect agent py line 129 in get and submit flow runs queue runs = await self client get runs in work queue File D Raghu venv lib site packages prefect client py line 918 in get runs in work queue response = await File D Raghu venv lib site packages httpx client py line 1842 in post return await self request File D Raghu venv lib site packages httpx client py line 1527 in request return await self send request auth=auth follow redirects=follow redirects File D Raghu venv lib site packages prefect client py line 257 in send await super send args kwargs File D Raghu venv lib site packages httpx client py line 1614 in send response = await self send handling auth File D Raghu venv lib site packages httpx client py line 1642 in send handling auth response = await self send handling redirects File D Raghu venv lib site packages httpx client py line 1679 in send handling redirects response = await self send single request request File D Raghu venv lib site packages httpx client py line 1716 in send single request response = await transport handle async request request File D Raghu venv lib site packages httpx transports default py line 353 in handle async request resp = await self pool handle async request req File D Raghu Python lib contextlib py line 137 in exit self gen throw typ value traceback File D Raghu venv lib site packages httpx transports default py line 77 in map httpcore exceptions raise mapped exc message from exc httpx ReadError 00 15 37 466 | INFO | prefect agent Submitting flow run 48ede090 c668 444e 8e67 1cb4a9837101 00 15 41 737 | INFO | prefect infrastructure process Opening process natural seagull 00 15 41 811 | INFO | prefect agent Completed submission of flow run 48ede090 c668 444e 8e67 1cb4a9837101 00 15 46 709 | INFO | prefect engine Created flow run hopping parrot for flow print pipeline hour 00 15 46 836 | ERROR | Flow run hopping parrot Crash detected Execution was interrupted by an unexpected exception 00 15 46 898 | ERROR | Flow run natural seagull Flow could not be retrieved from deployment

Venkat Ramakrishnan · Answer

This specific error makes me curious OSError WinError 64 The specified network name is no longer available Where is it looking so that I can see if that network name is not available What is the network name that it has problem with Thanks

Anna Geller · Answer

Hi I m OOO Could you open a GitHub issue showing the Prefect version you used and build a minimal example that results in this error Thanks in advance

Venkat Ramakrishnan · Answer

Hi thanks Filed <https github com PrefectHQ prefect issues 6700>