<@ULVA73B9P> How do I use the python sdk to create...
# ask-marvin
z
@Marvin How do I use the python sdk to create a client and fetch all the deployments that match on a specific tag?
m
To provide the most accurate instructions, I need to confirm the version of Prefect you are using. Prefect has different versions with varying methods for tasks like creating a client and fetching deployments. Could you please let me know if you are using Prefect 2.x or 3.x? If you're not sure, you can let me know, and I can assist you further based on my available tools.
z
Using prefect 2.19.0
@Marvin I am using prefect 2.19.0
m
To create a client and fetch all deployments that match a specific tag using Prefect 2.19.0, you'll need to use the Prefect Client. Here's a step-by-step guide based on the Prefect 2.x documentation: 1. Create a Client: You can create a client instance using the
OrionClient
from the
prefect.client
module. This will allow you to communicate with the Prefect backend. 2. Fetch Deployments by Tag: Once you have a client, you can use it to query for deployments that match a specific tag. The exact method or query might not be directly documented, but generally involves listing all deployments and filtering by tag in your application code. Here's a basic Python code snippet that should work for Prefect 2.19.0:
Copy code
python
from prefect.client import OrionClient
import asyncio

async def fetch_deployments_by_tag(tag_name):
    async with OrionClient() as client:
        # Fetch all deployments
        deployments = await client.read_deployments()
        
        # Filter deployments by tag
        matching_deployments = [d for d in deployments if tag_name in d.tags]
        
        return matching_deployments

# Run the async function
matching_deployments = asyncio.run(fetch_deployments_by_tag("your_tag_name_here"))
print(matching_deployments)
### Explanation - OrionClient: This is the client used to interact with your Prefect server or cloud. It allows you to execute queries and other operations. - read_deployments: This function retrieves all deployments, and then you filter them by checking if the specified tag is in the deployment's tags. For more detailed operations or specific API functionalities, it may require inspection of either local documentation or Prefect GitHub issues, as the direct functionality might be less explicitly covered in the high-level documentation. For further reference, you can check the Prefect 2.x documentation directly here as well as related GitHub issues like this one or the JSON decode related issue for deeper insights on client functionality under specific use cases.
z
@Marvin no way to achieve this with some sort of the filter on the API instead of doing it in a pythonic way?
m
It seems that direct filtering by tag through the Prefect 2.x API might not be explicitly documented as a built-in feature. However, the Prefect documentation suggests that the API is designed with REST principles that allow for flexible operations, and you might be able to leverage this framework for more direct filtering if the API supports it natively. Here's what you typically would consider doing: - Utilize the Prefect API's querying capabilities, if available, to fetch deployments directly with a filter based on tags. This would involve using an API call that accepts parameters or query strings to return only the deployments that match certain criteria. As of now, without specific documentation excerpts indicating the precise API endpoints or query capability for filtering deployments by tag, it is advisable to handle the logic in your client-side application as previously described. If you're keen to explore API-based options and see whether Prefect's REST interface has such filter capabilities, you might need to: 1. Refer directly to the Prefect API documentation sections for deployment objects. 2. Check if there's an available API endpoint for querying deployments with filters. Unfortunately, the documentation extracts didn't provide a direct answer for API filtering, so reviewing the Prefect API docs or reaching out to the Prefect community directly via their forums or internal channels might be your next steps for exploration. You can explore Prefect's latest documentation here to possibly uncover more advanced API capabilities.
z
@Marvin how do i then delete all the deployments after I have fetched them based on a tag?
m
To delete deployments in Prefect 2.x after you have fetched them based on a tag, you can use the
OrionClient
to programmatically handle this task. Here's how you might go about it: 1. Fetch Deployments by Tag: As mentioned previously, you can fetch deployments by their tag. 2. Delete Deployments: Once you have the list of deployments you want to delete, you can iterate over them and use the
delete_deployment
method provided by the client to remove each one. Although the exact method name isn't directly given in the documentation excerpts, it should be similar to other client-based delete operations. Here is a conceptual example of how you might write this in Python:
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python
from prefect.client import OrionClient
import asyncio

async def delete_deployments_by_tag(tag_name):
    async with OrionClient() as client:
        # Fetch all deployments
        deployments = await client.read_deployments()
        
        # Filter deployments by tag
        matching_deployments = [d for d in deployments if tag_name in d.tags]

        # Delete each matching deployment
        for deployment in matching_deployments:
            await client.delete_deployment(deployment.id)
            print(f"Deleted deployment: {deployment.name}")

# Run the async function
asyncio.run(delete_deployments_by_tag("your_tag_name_here"))
### Explanation - delete_deployment: This method would be used to delete a deployment. You would typically pass the deployment ID to this function. - Awaiting Client Methods: Since interactions with the client are asynchronous, make sure to await these calls to ensure they complete. Since direct API documentation was sparse, I based this on common patterns in similar client-focused libraries. If you'd like precise functions or parameters, reviewing Prefect's API or consulting with Prefect community channels for up-to-date method names and functionality could be helpful. For further exploration, you can visit the Prefect 2.x documentation here.