Hi Question about the S3 storage I got this error in order t

Question

Hi Question about the S3 storage I got this error in order to run the command to build the deployment Thread

Surawut Jirasaktavee · Answer

``` base ubuntu ip 172 31 26 134 ~ course mlops zoomcamp 03 orchestration$ prefect deployment build prefect deploy py main name xgboost optimization tag dev infra process storage block s3 mlflow artifacts prem usr lib python3 dist packages pkg resources init py 116 PkgResourcesDeprecationWarning 1 1build1 is an invalid version and will not be supported in a future release warnings warn usr lib python3 dist packages pkg resources init py 116 PkgResourcesDeprecationWarning 0 1 43ubuntu1 is an invalid version and will not be supported in a future release warnings warn Found flow xgboost optimization Manifest created at home ubuntu course mlops zoomcamp 03 orchestration main manifest json Traceback most recent call last File home ubuntu local lib python3 10 site packages prefect cli utilities py line 41 in wrapper return fn args kwargs File home ubuntu local lib python3 10 site packages prefect utilities asyncutils py line 193 in wrapper return run async in new loop async fn args kwargs File home ubuntu local lib python3 10 site packages prefect utilities asyncutils py line 140 in run async in new loop return anyio run partial fn args kwargs File home ubuntu local lib python3 10 site packages anyio core eventloop py line 70 in run return asynclib run func args backend options File home ubuntu local lib python3 10 site packages anyio backends asyncio py line 292 in run return native run wrapper debug=debug File usr lib python3 10 asyncio runners py line 44 in run return loop run until complete main File usr lib python3 10 asyncio base events py line 646 in run until complete return future result File home ubuntu local lib python3 10 site packages anyio backends asyncio py line 287 in wrapper return await func args File home ubuntu local lib python3 10 site packages prefect cli deployment py line 502 in build file count = await storage put directory File home ubuntu local lib python3 10 site packages prefect filesystems py line 350 in put directory return await self filesystem put directory File home ubuntu local lib python3 10 site packages prefect filesystems py line 250 in put directory self filesystem put file f fpath File home ubuntu local lib python3 10 site packages fsspec asyn py line 111 in wrapper return sync self loop func args kwargs File home ubuntu local lib python3 10 site packages fsspec asyn py line 96 in sync raise return result File home ubuntu local lib python3 10 site packages fsspec asyn py line 53 in runner result 0 = await coro File home ubuntu local lib python3 10 site packages s3fs core py line 1015 in put file await self call s3 File home ubuntu local lib python3 10 site packages s3fs core py line 332 in call s3 return await error wrapper File home ubuntu local lib python3 10 site packages s3fs core py line 137 in error wrapper raise err File home ubuntu local lib python3 10 site packages s3fs core py line 110 in error wrapper return await func args kwargs File home ubuntu local lib python3 10 site packages aiobotocore client py line 235 in make api call request dict = await self convert to request dict File home ubuntu local lib python3 10 site packages aiobotocore client py line 283 in convert to request dict api params = await self emit api params File home ubuntu local lib python3 10 site packages aiobotocore client py line 312 in emit api params await self meta events emit File home ubuntu local lib python3 10 site packages aiobotocore hooks py line 50 in emit response = await resolve awaitable handler kwargs File home ubuntu local lib python3 10 site packages botocore handlers py line 243 in validate bucket name raise ParamValidationError report=error msg botocore exceptions ParamValidationError Parameter validation failed Invalid bucket name s3 Bucket name must match the regex ^ a zA Z0 9 1 255 $ or be an ARN matching the regex ^arn aws s3|s3 object lambda a z 0 9 0 9 12 accesspoint a zA Z0 9 1 63 $|^arn aws s3 outposts a z 0 9 + 0 9 12 outpost a zA Z0 9 1 63 accesspoint a zA Z0 9 1 63 $ An exception occurred ```

Surawut Jirasaktavee · Answer

my code about s3 ```bucket name = mlflow artifacts prem os environ AWS PROFILE = MLOps dev AWS ACCESS KEY ID = os getenv AWS ACCESS KEY ID AWS SECRET ACCESS KEY = os getenv AWS SECRET ACCESS KEY def get storage bucket path str AWS ACCESS KEY ID str AWS SECRET ACCESS KEY str block = S3 bucket path=bucket name aws access key id=AWS ACCESS KEY ID aws secret access key=AWS SECRET ACCESS KEY ```

Surawut Jirasaktavee · Answer

my prefect command ```prefect deployment build prefect deploy py main name xgboost optimization tag dev infra process storage block s3 mlflow artifacts prem```

Surawut Jirasaktavee · Answer

Another question is in the previous version I have used the variables `PREFECT URL UI API URL` to set the config of the remote server and `PREFECT API URL` from my local to set the IP address After updating this version I try to set the same but got some errors with the same variables And after reading the docs I found this I am not sure how to set the other server apart from the Prefect Cloud and the Local ``` use a local Orion API server prefect config set PREFECT API URL= use Prefect Cloud prefect config set PREFECT API URL=```

Taylor Curran · Answer

Hi Surawut did you try specifying the block type with a capital S Like S3 ` storage block S3 mlflow artifacts prem`

Surawut Jirasaktavee · Answer

Hi I try it and got this new error ```raise ValueError ValueError Unable to find block document named mlflow artifacts prem for block type S3```

Taylor Curran · Answer

In the UI is it showing an S3 block with the exact name `mlflow artifacts prem`

Surawut Jirasaktavee · Answer

let me check the UI a bit

Surawut Jirasaktavee · Answer

Yeah The UI already showing the S3 block

Taylor Curran · Answer

Are you using cloud Or did you run `prefect orion start`

Surawut Jirasaktavee · Answer

just `prefect orion start` but using S3 for storage

Taylor Curran · Answer

hmm I wonder if you may have logged into cloud in the terminal and now can not access this local block

Taylor Curran · Answer

I would also try creating a new block in the UI and trying again

Taylor Curran · Answer

I am not sure for now but let me know if you find anything out

Taylor Curran · Answer

Have you run `prefect cloud login` at all

Surawut Jirasaktavee · Answer

No I haven t used Prefect cloud

Surawut Jirasaktavee · Answer

I want to try with my remote server first but I don t know how to set the config variable for `PREFECT ORION URL UI URL`

Surawut Jirasaktavee · Answer

that one is the variable that I used before in Prefect 2 0b5 or 6

Surawut Jirasaktavee · Answer

the error I got after assigning to the old variable ``` base ubuntu ip 172 31 26 134 ~ course mlops zoomcamp 03 orchestration$ prefect config set PREFECT ORION URL UI URL= <http 54 193 87 108 4200 api> Unknown setting name PREFECT ORION URL UI URL ```

Surawut Jirasaktavee · Answer

Trying to find the new one to set it

Taylor Curran · Answer

Here is some documentation that <https docs prefect io concepts settings configuration profiles|you may find helpful> Regarding the S3 block as I said it wouldn t hurt to recreate the S3 block in the UI and try again with that Overall just verify that your cli commands flows you run workqueues listed match what you see in the UI Regarding the config variable My other colleagues may be around later who know more about this but I would ask it as a separate question in the channel

Surawut Jirasaktavee · Answer

Yeah I read from this one found some commands that I think should be the ones that I looking for ``` use a local Orion API server prefect config set PREFECT API URL= use Prefect Cloud prefect config set PREFECT API URL=```

Surawut Jirasaktavee · Answer

Yeah It works well I can use Prefect with my remote server now but it seems like the new one

Surawut Jirasaktavee · Answer

No block and no run

Surawut Jirasaktavee · Answer

I got connect error for now after using my remote server and run the command to build deployment ``` base ubuntu ip 172 31 26 134 ~ course mlops zoomcamp 03 orchestration$ prefect deployment build prefect deploy py main name xgboost optimization tag dev infra process storage block s3 mlflow artifacts prem usr lib python3 dist packages pkg resources init py 116 PkgResourcesDeprecationWarning 1 1build1 is an invalid version and will not be supported in a future release warnings warn usr lib python3 dist packages pkg resources init py 116 PkgResourcesDeprecationWarning 0 1 43ubuntu1 is an invalid version and will not be supported in a future release warnings warn Found flow xgboost optimization Manifest created at home ubuntu course mlops zoomcamp 03 orchestration main manifest json Traceback most recent call last File home ubuntu local lib python3 10 site packages anyio core sockets py line 164 in try connect stream = await asynclib connect tcp remote host remote port local address File home ubuntu local lib python3 10 site packages anyio backends asyncio py line 1691 in connect tcp await get running loop create connection File usr lib python3 10 asyncio base events py line 1064 in create connection raise exceptions 0 File usr lib python3 10 asyncio base events py line 1049 in create connection sock = await self connect sock File usr lib python3 10 asyncio base events py line 960 in connect sock await self sock connect sock address File usr lib python3 10 asyncio selector events py line 499 in sock connect return await fut File usr lib python3 10 asyncio selector events py line 534 in sock connect cb raise OSError err f Connect call failed address ConnectionRefusedError Errno 111 Connect call failed 54 193 87 108 4200 The above exception was the direct cause of the following exception Traceback most recent call last File home ubuntu local lib python3 10 site packages httpcore exceptions py line 8 in map exceptions yield File home ubuntu local lib python3 10 site packages httpcore backends asyncio py line 109 in connect tcp stream anyio abc ByteStream = await anyio connect tcp File home ubuntu local lib python3 10 site packages anyio core sockets py line 222 in connect tcp raise OSError All connection attempts failed from cause OSError All connection attempts failed During handling of the above exception another exception occurred Traceback most recent call last File home ubuntu local lib python3 10 site packages httpx transports default py line 60 in map httpcore exceptions yield File home ubuntu local lib python3 10 site packages httpx transports default py line 353 in handle async request resp = await self pool handle async request req File home ubuntu local lib python3 10 site packages httpcore async connection pool py line 253 in handle async request raise exc File home ubuntu local lib python3 10 site packages httpcore async connection pool py line 237 in handle async request response = await connection handle async request request File home ubuntu local lib python3 10 site packages httpcore async connection py line 86 in handle async request raise exc File home ubuntu local lib python3 10 site packages httpcore async connection py line 63 in handle async request stream = await self connect request File home ubuntu local lib python3 10 site packages httpcore async connection py line 111 in connect stream = await self network backend connect tcp kwargs File home ubuntu local lib python3 10 site packages httpcore backends auto py line 29 in connect tcp return await self backend connect tcp File home ubuntu local lib python3 10 site packages httpcore backends asyncio py line 107 in connect tcp with map exceptions exc map File usr lib python3 10 contextlib py line 153 in exit self gen throw typ value traceback File home ubuntu local lib python3 10 site packages httpcore exceptions py line 12 in map exceptions raise to exc exc httpcore ConnectError All connection attempts failed The above exception was the direct cause of the following exception Traceback most recent call last File home ubuntu local lib python3 10 site packages prefect cli utilities py line 41 in wrapper return fn args kwargs File home ubuntu local lib python3 10 site packages prefect utilities asyncutils py line 193 in wrapper return run async in new loop async fn args kwargs File home ubuntu local lib python3 10 site packages prefect utilities asyncutils py line 140 in run async in new loop return anyio run partial fn args kwargs File home ubuntu local lib python3 10 site packages anyio core eventloop py line 70 in run return asynclib run func args backend options File home ubuntu local lib python3 10 site packages anyio backends asyncio py line 292 in run return native run wrapper debug=debug File usr lib python3 10 asyncio runners py line 44 in run return loop run until complete main File usr lib python3 10 asyncio base events py line 646 in run until complete return future result File home ubuntu local lib python3 10 site packages anyio backends asyncio py line 287 in wrapper return await func args File home ubuntu local lib python3 10 site packages prefect cli deployment py line 496 in build template = await Block load storage block File home ubuntu local lib python3 10 site packages prefect blocks core py line 507 in load block document = await client read block document by name File home ubuntu local lib python3 10 site packages prefect client py line 1209 in read block document by name response = await self client get File home ubuntu local lib python3 10 site packages httpx client py line 1751 in get return await self request File home ubuntu local lib python3 10 site packages httpx client py line 1527 in request return await self send request auth=auth follow redirects=follow redirects File home ubuntu local lib python3 10 site packages prefect client py line 256 in send await super send args kwargs File home ubuntu local lib python3 10 site packages httpx client py line 1614 in send response = await self send handling auth File home ubuntu local lib python3 10 site packages httpx client py line 1642 in send handling auth response = await self send handling redirects File home ubuntu local lib python3 10 site packages httpx client py line 1679 in send handling redirects response = await self send single request request File home ubuntu local lib python3 10 site packages httpx client py line 1716 in send single request response = await transport handle async request request File home ubuntu local lib python3 10 site packages httpx transports default py line 352 in handle async request with map httpcore exceptions File usr lib python3 10 contextlib py line 153 in exit self gen throw typ value traceback File home ubuntu local lib python3 10 site packages httpx transports default py line 77 in map httpcore exceptions raise mapped exc message from exc httpx ConnectError All connection attempts failed An exception occurred ```

Jenny · Answer

Hi < Surawut Jirasaktavee> you should be able to see what settings options there are here

Jenny · Answer

I think you want this one <https github com PrefectHQ prefect blob ea6f062d5005096ff890aab9595cecc1e4bde9ed src prefect settings py ~ text= PREFECT ORION UI API URL 3D 20Setting |https github com PrefectHQ prefect blob ea6f062d5005096ff890aab9595cecc1e4bde9ed src prefect settings py ~ text= PREFECT URL 3D 20Setting >

Surawut Jirasaktavee · Answer

Hi Jenny Thank you I will check this

Surawut Jirasaktavee · Answer

Now I can use my remote server to open the Prefect UI but when I run the command to build the deployment I get the connection error ``` course mlops zoomcamp ~ Github MLOps course mlops zoomcamp 03 orchestration main prefect deployment build prefect deploy py main name xgboost optimization tag dev infra process storage block s3 mlflow artifacts prem Found flow xgboost optimization Manifest created at Users premsurawut Github MLOps course mlops zoomcamp 03 orchestration main manifest json Traceback most recent call last File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages anyio core sockets py line 164 in try connect stream = await asynclib connect tcp remote host remote port local address File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages anyio backends asyncio py line 1691 in connect tcp await get running loop create connection File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 asyncio base events py line 1065 in create connection raise exceptions 0 File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 asyncio base events py line 1050 in create connection sock = await self connect sock File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 asyncio base events py line 961 in connect sock await self sock connect sock address File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 asyncio selector events py line 499 in sock connect return await fut File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 asyncio selector events py line 534 in sock connect cb raise OSError err f Connect call failed address ConnectionRefusedError Errno 61 Connect call failed 3 101 74 249 4200 The above exception was the direct cause of the following exception Traceback most recent call last File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore exceptions py line 8 in map exceptions yield File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore backends asyncio py line 109 in connect tcp stream anyio abc ByteStream = await anyio connect tcp File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages anyio core sockets py line 222 in connect tcp raise OSError All connection attempts failed from cause OSError All connection attempts failed During handling of the above exception another exception occurred Traceback most recent call last File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx transports default py line 60 in map httpcore exceptions yield File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx transports default py line 353 in handle async request resp = await self pool handle async request req File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore async connection pool py line 253 in handle async request raise exc File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore async connection pool py line 237 in handle async request response = await connection handle async request request File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore async connection py line 86 in handle async request raise exc File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore async connection py line 63 in handle async request stream = await self connect request File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore async connection py line 111 in connect stream = await self network backend connect tcp kwargs File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore backends auto py line 29 in connect tcp return await self backend connect tcp File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore backends asyncio py line 109 in connect tcp stream anyio abc ByteStream = await anyio connect tcp File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 contextlib py line 137 in exit self gen throw typ value traceback File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpcore exceptions py line 12 in map exceptions raise to exc exc httpcore ConnectError All connection attempts failed The above exception was the direct cause of the following exception Traceback most recent call last File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages prefect cli utilities py line 41 in wrapper return fn args kwargs File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages prefect utilities asyncutils py line 193 in wrapper return run async in new loop async fn args kwargs File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages prefect utilities asyncutils py line 140 in run async in new loop return anyio run partial fn args kwargs File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages anyio core eventloop py line 70 in run return asynclib run func args backend options File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages anyio backends asyncio py line 292 in run return native run wrapper debug=debug File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 asyncio runners py line 44 in run return loop run until complete main File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 asyncio base events py line 647 in run until complete return future result File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages anyio backends asyncio py line 287 in wrapper return await func args File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages prefect cli deployment py line 496 in build template = await Block load storage block File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages prefect blocks core py line 507 in load block document = await client read block document by name File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages prefect client py line 1209 in read block document by name response = await self client get File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx client py line 1751 in get return await self request File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx client py line 1527 in request return await self send request auth=auth follow redirects=follow redirects File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages prefect client py line 256 in send await super send args kwargs File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx client py line 1614 in send response = await self send handling auth File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx client py line 1642 in send handling auth response = await self send handling redirects File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx client py line 1679 in send handling redirects response = await self send single request request File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx client py line 1716 in send single request response = await transport handle async request request File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx transports default py line 353 in handle async request resp = await self pool handle async request req File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 contextlib py line 137 in exit self gen throw typ value traceback File Users premsurawut anaconda3 envs course mlops zoomcamp lib python3 9 site packages httpx transports default py line 77 in map httpcore exceptions raise mapped exc message from exc httpx ConnectError All connection attempts failed An exception occurred ```

Surawut Jirasaktavee · Answer

For now I think I can use my local connect with Prefect remote server perfectly but I am stuck with the error about `S3` ```botocore exceptions ParamValidationError Parameter validation failed Invalid bucket name s3 Bucket name must match the regex ^ a zA Z0 9 1 255 $ or be an ARN matching the regex ^arn aws s3|s3 object lambda a z 0 9 0 9 12 accesspoint a zA Z0 9 1 63 $|^arn aws s3 outposts a z 0 9 + 0 9 12 outpost a zA Z0 9 1 63 accesspoint a zA Z0 9 1 63 $ An exception occurred ``` my command to run ``` course mlops zoomcamp ~ Github MLOps course mlops zoomcamp 03 orchestration main prefect deployment build prefect deploy py main name xgboost optimization tag dev infra process storage block s3 mlflow artifacts prem``` I used the above command to run and check the status of the Prefect server in the terminal as the image below shows the status seems to work well but when I go to Prefect UI It shows nothing from today s command that I have run I have filtered only for today s date I have tried to change a lot for the s3 but the result is still the same even for the path from the Prefect UI

Khuyen Tran · Answer

Did you run `prefect deployment apply` after the build command

Surawut Jirasaktavee · Answer

If I don t misunderstand I should have the `deployment yaml` in order to run the command `prefect deployment apply` right but because of the issue above from the command ```prefect deployment build prefect deploy py main name xgboost optimization tag dev infra process storage block s3 mlflow artifacts prem``` the command above only generates a `JSON` file for me I think it is because the command did not completed yet For now I can prove that my flow can run and the Prefect amp MLflow remote server works well my s3 bucket store the artifacts as they should be but only the deployment build command that is not complete according to the issue from `S3` name So the command did not generate `deployment yaml` for me Any ideas about this issue I took a few days to work with it but still got nothing

Khuyen Tran · Answer

Can you show the configuration of your S3 block It could be that the path you set in the S3 block is the problem

Surawut Jirasaktavee · Answer

This is my block configuration function ```bucket name = mlflow artifacts prem AWS ACCESS KEY ID = os getenv AWS ACCESS KEY ID AWS SECRET ACCESS KEY = os getenv AWS SECRET ACCESS KEY def get storage s3 bucket str AWS ACCESS KEY ID str AWS SECRET ACCESS KEY str block = S3 bucket path=s3 bucket aws access key id=AWS ACCESS KEY ID aws secret access key=AWS SECRET ACCESS KEY return block block = get storage bucket name AWS ACCESS KEY ID AWS SECRET ACCESS KEY ```

Surawut Jirasaktavee · Answer

Anyway can I solve this issue or Am I missing something in my code block

Khuyen Tran · Answer

So you bucket path is mlflow artifacts prem Do you have that bucket in your S3

Surawut Jirasaktavee · Answer

yeah I have already created the S3 before referring to it

Khuyen Tran · Answer

Have you tried to add block configuration on the UI

Surawut Jirasaktavee · Answer

It is already shown in the Prefect UI as well

Surawut Jirasaktavee · Answer

but it will show fail of invalid name s3 then the command cannot complete and not generate the deployment yaml to me

Khuyen Tran · Answer

could you take a screenshot of your configuration in the S3 block You can blur out your configurations if you want to I just want to double check

Surawut Jirasaktavee · Answer

Hi Here is my block page in the Prefect UI

Khuyen Tran · Answer

ah I see the problem Your bucket path should be `mlflow artifacts prem` not `<s3 mlflow artifacts prem>`

Surawut Jirasaktavee · Answer

Hmm I think I have tried this way before but I will try again

Surawut Jirasaktavee · Answer

I ll update you

Surawut Jirasaktavee · Answer

wait I think my bucket path is as below gt ```bucket name = mlflow artifacts prem gt AWS ACCESS KEY ID = os getenv AWS ACCESS KEY ID gt AWS SECRET ACCESS KEY = os getenv AWS SECRET ACCESS KEY gt gt def get storage s3 bucket str gt AWS ACCESS KEY ID str gt AWS SECRET ACCESS KEY str gt gt block = S3 bucket path=s3 bucket gt aws access key id=AWS ACCESS KEY ID gt aws secret access key=AWS SECRET ACCESS KEY gt return block gt gt block = get storage bucket name AWS ACCESS KEY ID AWS SECRET ACCESS KEY ``` Actually my bucket path doesn t include the `s3 ` like the first line from the code snippet above I think the `s3 ` return from the Class S3 from Prefect docs <https docs prefect io api ref prefect filesystems prefect filesystems S3|prefect filesystems Prefect 2 0>

Khuyen Tran · Answer

Hmm That s weird I don t have `s3 ` when creating an S3 block though

Khuyen Tran · Answer

Can you create one directly from the UI

Surawut Jirasaktavee · Answer

Hi < Khuyen Tran> It s work now I think this is my misunderstanding from the first time I created the bucket Thank you for supporting me really appreciated after applying the deployment I should create the work queue and agent to run the pipeline right

Khuyen Tran · Answer

I m glad that you figured it out I m always happy to help Yes that s would be the next step