@Marvin I installed prefect server and prefect. they are in the same cluster. I want to connect prefect worker to the server. and i set worker.serverApiConfig.apiUrl to prefect-server.<namespace>.svc.cluster.local when i install prefect worker by helm chart. but i got an error from prefect worker: httpx.UnsupportedProtocol: Request URL is missing an ‘http://’ or ‘https://’ protocol.

The error you're encountering with

httpx.UnsupportedProtocol: Request URL is missing an ‘http://’ or ‘https://’ protocol

suggests that your configuration for the API URL is missing the required protocol specifier in the

worker.serverApiConfig.apiUrl

. From both the Prefect 2.x and 3.x documentation, it's clear that the

PREFECT_API_URL

must be set with a full URL, including the protocol. Here's a quick rundown of what you need to do: 1. Add HTTP/HTTPS Protocol: Ensure that your

PREFECT_API_URL

is formatted correctly with either "http://" or "https://". For example: - Correct:

PREFECT_API_URL="<http://prefect-server>.<namespace>.svc.cluster.local"

2. Environment Variables: Set your environment variables properly in the environment where your worker is running. This applies to both Prefect versions: - PREFECT_API_URL: Should point to your server instance and include the protocol. - PREFECT_API_KEY: Make sure it’s configured for secure access if necessary. You can refer to the Prefect documentation for more details: - Prefect 2.x Worker Configuration - Prefect 3.x Worker Setup Ensure you update the Helm chart values with the correct API URL and redeploy your worker. This should resolve the error you're experiencing. Let me know if you have any further questions!

@Marvin is there PREFECT_API_KEY if i install prefect server using helm chart?

When you install the Prefect Server using a Helm chart, you are typically setting up a self-hosted version of Prefect, which does not automatically include Prefect Cloud API keys. The

PREFECT_API_KEY

is generally used when interfacing with Prefect Cloud, allowing access to cloud-hosted resources and services securely. For your self-hosted Prefect Server, keys like

PREFECT_API_URL

are more pertinent, as they direct where the Prefect workers and other components should communicate within your infrastructure. However, there might be scenarios where you still want to use Prefect Cloud features alongside your self-hosted server. In these cases, you would manually generate a Prefect Cloud API key from the Prefect Cloud UI and configure it in your Helm deployment by creating a Kubernetes secret, similar to the steps found in the Prefect 2.x and 3.x documentation: 1. Generate a Prefect Cloud API Key: - Log into the Prefect Cloud UI. - Navigate to your profile settings and create a new API key. 2. Configure the Helm Chart: - Store the generated API key as a Kubernetes secret:

kubectl create secret generic prefect-api-key --namespace=<your-namespace> --from-literal=key=<your-prefect-cloud-api-key>

- Update your

values.yaml

to include references to this secret if you plan to integrate with Prefect Cloud functionalities. For more information, you can check these documentation links: - Prefect 2.x Kubernetes Deployment Guide - Prefect 3.x Kubernetes Deployment Guide If you're solely using a self-hosted server without Prefect Cloud integrations, managing

PREFECT_API_KEY

is unnecessary. Let me know if you need further guidance on setting up your Prefect environment!

@Marvin how can get artifacts from prefect_flow_run_id using python sdk?

To retrieve artifacts from a specific flow run using the Prefect Python SDK, you can utilize Prefect's API client features. Here's a guide on how to achieve that: 1. Use the Prefect Client: Prefect provides a client that you can use to interact with flow runs and their associated metadata. This includes querying for artifacts generated during a flow run. 2. Prefect Version 2.x: In Prefect 2.x, you can view all artifacts and version information using Prefect's API. Unfortunately, direct examples for fetching artifacts using Python code weren't detailed for 2.x in the search, but you can use the REST API to retrieve artifacts. 3. Prefect Version 3.x: In version 3.x, you can use Prefect's runtime context and specifically access artifacts within a flow by importing relevant utilities. Here's a pseudo-example to illustrate how to fetch artifacts programmatically:

python
from prefect import get_client
from prefect.artifacts import Artifact

async def fetch_artifacts(flow_run_id):
    async with get_client() as client:
        # You can use the client to query artifacts
        # Make sure to specify the correct flow_run_id and retrieval method for artifacts
        result = await client.read_artifacts_for_flow_run(flow_run_id)
        return result

# Use asyncio to run the async function and fetch artifacts for the specific flow run
import asyncio

flow_run_id = "your_flow_run_id_here" # Replace with your actual flow_run_id
artifacts = asyncio.run(fetch_artifacts(flow_run_id))
print(artifacts)

4. Access and Manage Artifacts: - Use Prefect UI: After running flows that create artifacts, you can view them in the Prefect UI Artifacts page. - Inspect with CLI: You can inspect artifacts using Prefect CLI commands such as

prefect artifact inspect <my_key>

. For more detailed explanation and examples, check the Prefect documentation: - Prefect 2.x Artifacts - Prefect 3.x Artifacts and Development Let me know if you need further assistance or details!