@Marvin I am trying to set PREFECT_API_URL and PREFECT_API_KEY as environment variables and deploying to Prefect Cloud, but am getting an error.

from prefect.deployments import Deployment

os.environ.update(
    {
        "PREFECT_API_URL": f"<https://api.prefect.cloud/api/accounts/{ACCOUNT_ID}/workspaces/{prefect_workspace_id}>",
        "PREFECT_API_KEY": "pnu_abc123",
    }
)

deployment = Deployment.build_from_flow(
    ....
)
deployment.apply()

Error:

Client error '404 Not Found' for url '<http://ephemeral-prefect/api/deployments/>'

It looks like there might be an issue with the way you're setting the

PREFECT_API_URL

environment variable directly in your script. According to the Prefect documentation, you should configure the

PREFECT_API_URL

and

PREFECT_API_KEY

using the Prefect CLI commands like this:

bash
$ prefect config set PREFECT_API_URL="<https://api.prefect.cloud/api/accounts/[ACCOUNT-ID]/workspaces/[WORKSPACE-ID]>"
$ prefect config set PREFECT_API_KEY="[API-KEY]"

Prefect Settings Documentation Prefect Cloud Connection Documentation Try setting these environment variables using the CLI or within your execution environment (like Docker, a VM, or a Kubernetes cluster), rather than in your Python script. The error your script is raising makes it appear that there is an issue reaching the Prefect API, possibly due to an incorrectly formatted URL or misconfiguration. As for the

404 Not Found

error pointing to

<http://ephemeral-prefect/api/deployments/>

, this seems to be hitting an incorrect URL. It's worth double-checking the

PREFECT_API_URL

to ensure it's formatted correctly without the angle brackets (

<>

) and matches Prefect Cloud's expected URL format. Also, please verify if the

ACCOUNT_ID

and

prefect_workspace_id

are correctly replaced with the actual IDs in the URL. Since the GitHub issues search didn't return any relevant open issues regarding this problem, it's likely to be a configuration issue or a typo in the URL. For the

PREFECT_API_KEY

, ensure that its value is correctly set and is a valid API key that has permissions for the operations intended by your script. If you continue to face issues, please let me know and I'll assist you further.

@Marvin for my use case, I have to dynamically set the

PREFECT_API_URL

and

PREFECT_API_KEY

environment variables

I've found a code snippet that demonstrates the basic structure of a Prefect flow, but it doesn't quite address the specific requirement of dynamically setting the

PREFECT_API_URL

and

PREFECT_API_KEY

environment variables. Setting environment variables within the Python code can generally be done using the

os

module, like the following:

python
import os
from prefect import flow

@flow
def my_prefect_flow():
    # Set environment variables dynamically within the flow
    os.environ['PREFECT_API_URL'] = 'your_api_url_here'
    os.environ['PREFECT_API_KEY'] = 'your_api_key_here'

    # Your flow logic here

if __name__ == "__main__":
    my_prefect_flow()

However, to ensure that this solution fits within the proper Prefect context, I would recommend reviewing the Prefect documentation or community resources, as environment variables might require a specific approach to ensure they interact correctly with Prefect's execution environment. Would you like me to search for more specific documentation on setting Prefect environment variables dynamically?

@Marvin my Python script is not part of a Flow, it is just a script

If your Python script operates independently of a Prefect Flow and is intended to set environment variables for communicating with Prefect Cloud, it's important to ensure the environment variables are set correctly in the runtime environment where the script executes. Here are some things to check and correct in your script: 1. Environment Variables Setting: - Ensure that you're setting the environment variables before any Prefect client code that requires them is run. - Double-check that you're not including angle brackets (

<>

) in the URL. These are placeholders and should be replaced with your actual

ACCOUNT_ID

and

WORKSPACE_ID

. 2. Error Message Analysis: - The URL in the error message (`http://ephemeral-prefect/api/deployments/`) suggests that your script is trying to reach a local or incorrect Prefect API URL. If you copied your

PREFECT_API_URL

from the Prefect Cloud workspace page URL, ensure that it's exactly as displayed, with HTTPS, and without any extra characters. - The

404 Not Found

error typically means the endpoint does not exist at the specified URL. Review the URL for any typos or missing path segments. 3. Script Execution: - If you're executing the script in an isolated environment (like a container), remember to inject the environment variables into this environment. - If the script is meant to run on a server or a local machine, the environment variables need to be provided in that context. If the Python script is not part of a Flow and is meant to deploy a Flow (using

Deployment.build_from_flow

), make sure that the Prefect client within the script has access to the correct

PREFECT_API_URL

and

PREFECT_API_KEY

. This might be accomplished by setting the environment variables within the script, like so:

python
import os
from prefect.deployments import Deployment

os.environ["PREFECT_API_URL"] = "<https://api.prefect.cloud/api/accounts/ACCOUNT_ID/workspaces/WORKSPACE_ID>"
os.environ["PREFECT_API_KEY"] = "pnu_abc123"

# Your deployment code here
deployment = Deployment.build_from_flow(
    # ... your parameters
)
deployment.apply()

Remember to replace

ACCOUNT_ID

and

WORKSPACE_ID

with your actual Prefect account and workspace IDs. Also, ensure that

pnu_abc123

is an actual API key for your Prefect Cloud. It's essential to review the Prefect Cloud documentation for the most recent instructions on how to configure environment variables. If you still encounter issues, could you provide me with the complete traceback or any additional details to diagnose the problem further?