<@ULVA73B9P> diagnose this error from prefect work...
# ask-marvin
k
@Marvin diagnose this error from prefect worker pod
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prefect.exceptions.PrefectHTTPStatusError: Client error '404 Not Found' for url '<https://api.prefect.cloud/api/accounts/abc/workspaces/abc/deployments/40c948a1-0f0b-4e10-8f00-87bcaa3e6ce8>'
m
thought for 37.8 seconds
Based on the error message and research, I can help diagnose this issue. The error you're seeing indicates that your worker pod is trying to access a deployment that doesn't exist or isn't accessible at the specified URL. The specific error is:
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Client error '404 Not Found' for url '<https://api.prefect.cloud/api/accounts/abc/workspaces/abc/deployments/40c948a1-0f0b-4e10-8f00-87bcaa3e6ce8>'
Here are the most likely causes and solutions: 1. Deployment Does Not Exist: - The deployment ID
40c948a1-0f0b-4e10-8f00-87bcaa3e6ce8
cannot be found in your Prefect Cloud workspace - This could happen if: - The deployment was deleted - The deployment failed to register properly - You're accessing the wrong workspace 2. Authentication/Authorization Issues: - Verify that your worker has the correct API key configured - Ensure the API key has access to the correct workspace To troubleshoot: 1. Verify the Deployment: - Check if the deployment exists in the Prefect UI - You can also verify using the CLI:
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bash
   prefect deployment ls
2. Check Worker Configuration: - Verify the worker is connected to the correct workspace - Ensure the PREFECT_API_KEY and PREFECT_API_URL are correctly set in your worker pod - Check the worker logs for any authentication-related messages 3. Verify Workspace: - Confirm you're in the correct workspace using:
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bash
   prefect workspace ls
4. If Creating a New Deployment: - Ensure you're using the correct deployment creation syntax for Prefect 3.x:
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python
   flow.from_source(...).deploy(...)
Would you like me to help you verify any specific part of this setup or would you like more details about any of these troubleshooting steps?
k
I've seen this happen if the API key the worker is using is expired
upvote 1
👀 1
k
@Marvin create python function to list all active deployments with async client
m
thought for 62.3 seconds
Based on the research, here's a Python function that lists all active deployments using the async Prefect client:
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python
from prefect.client import get_client
from typing import List
from prefect.client.schemas.objects import DeploymentResponse

async def list_active_deployments() -> List[DeploymentResponse]:
    """
    Lists all active deployments using the async Prefect client.
    
    Returns:
        List[DeploymentResponse]: A list of deployment objects containing deployment details
    
    Example:
        ```python
        import asyncio
        
        # Run the function
        deployments = asyncio.run(list_active_deployments())
        
        # Print deployment details
        for deployment in deployments:
            print(f"Name: {deployment.name}")
            print(f"ID: {deployment.id}")
            print(f"Work Pool: {deployment.work_pool_name}")
            print("---")
""" async with get_client() as client: # Fetch all deployments deployments = await client.read_deployments() return deployments # If you want to run this directly (not imported as a module) if name == "__main__": import asyncio async def main(): deployments = await list_active_deployments() for deployment in deployments: print(f"Name: {deployment.name}") print(f"ID: {deployment.id}") print(f"Work Pool: {deployment.work_pool_name}") print("---") asyncio.run(main())
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This function:
1. Uses the `get_client()` function to create a Prefect client instance
2. Uses async context manager to properly manage the client connection
3. Calls `read_deployments()` to fetch all deployments
4. Returns the list of deployments as `DeploymentResponse` objects

Each `DeploymentResponse` object contains useful information about the deployment, including:
- `name`: The deployment name
- `id`: The deployment ID
- `work_pool_name`: The associated work pool
- `version`: The deployment version
- `tags`: Any associated tags
- And more...

If you want to filter the deployments, you can add filters to the `read_deployments()` call. For example, to filter by work pool:

```python
async def list_deployments_by_work_pool(work_pool_name: str) -> List[DeploymentResponse]:
    async with get_client() as client:
        deployments = await client.read_deployments(
            work_pool_filter={"name": {"any_": [work_pool_name]}}
        )
        return deployments
Would you like me to explain any part of this in more detail or show you how to add specific filters to the query?