@Marvin It looks like my flow in debug mode(python) are not running in the same context as the local prefect server. It complains blocks are not there. How can I troubleshoot this? My config shows the current profile is using the local server with the local URL setup, and not running under pydb actually works

Here are some steps to troubleshoot your issue with Prefect flows not recognizing blocks in debug mode: 1. Block Registration: Ensure that all necessary blocks are registered. You can manually register blocks using the CLI with the command

prefect block register -m <module>

. For example, to register all built-in notification blocks, you can run

prefect block register -m prefect.blocks.notifications

. More details on block registration can be found here. 2. Local vs Remote Execution: There might be differences between local and remote execution, especially in how they handle relative imports. When executing locally, using the

-m

flag (e.g.,

python -m flow

) might help replicate the behavior you see on the server. 3. Profile and Configuration: Double-check your Prefect configuration to ensure that the profile is correctly set to use the local server. You can verify this by running

prefect config view

. 4. Common Gotchas: Prefect 3.x has some notable changes from previous versions, such as agents being replaced by workers and work pools replacing infrastructure blocks. Ensure your setup aligns with these changes. More on Prefect 3.x gotchas can be found in the documentation. If these steps don't resolve your issue, consider checking the Prefect GitHub issues for similar problems or reaching out to their community for more targeted support.

@Marvin The blocks are there, it's like pydbg is using an entirely different profile.

It seems that your issue might be related to how Prefect profiles are being managed when using

pydbg

. Here are some insights and steps you can take to address this: 1. Profiles Location: Prefect profiles are stored in a

profiles.toml

file located at

~/.prefect/profiles.toml

by default. This location can be changed by setting the

PREFECT_PROFILES_PATH

environment variable. Ensure that

pydbg

is using the correct path to this file. 2. Active Profile: Only one profile can be active at a time. Use the

prefect profile

CLI commands to manage and switch between profiles. You can list all profiles using

prefect profile ls

and switch to a specific profile using

prefect profile use <profile-name>

. 3. Environment Variables: If

pydbg

is using a different environment, ensure that the necessary environment variables are set correctly for the session where

pydbg

is running. This includes

PREFECT_API_URL

and any other relevant settings. 4. Ephemeral Mode: Prefect has an ephemeral mode that might be affecting your setup. Check if

PREFECT_SERVER_ALLOW_EPHEMERAL_MODE

is set, which allows the Prefect server to run ephemerally without an explicit server process. For more detailed information on managing profiles, you can refer to the Prefect documentation on settings and profiles. If none of these steps resolve your issue, consider manually editing the

profiles.toml

file to ensure consistency across different environments or sessions.

@Marvin I have a repl terminal during my debugging session. Give me the code I need to check the execution context and validate it's using the proper URL, and how to list blocks

To check your execution context and validate that it's using the correct API URL, as well as to list available blocks in your Prefect setup, you can use the following code snippets in your REPL terminal: 1. Check Execution Context and API URL:

python
   from prefect import get_client

   async def check_context():
       async with get_client() as client:
           print("Connected to Prefect API at:", client.api_url)

   # Run the function to check the context
   import asyncio
   asyncio.run(check_context())

2. List Available Blocks:

python
   from prefect.cli.block import block_ls

   # List all blocks
   block_ls()

These snippets will help you verify the API URL being used and list the blocks registered in your Prefect environment. Make sure your environment variables and Prefect configuration are set correctly for the session where you are running these commands.

@Marvin So the debug is using ephermeral mode. Could this be the problem? Again, the local prefect server has everything configured.

Yes, ephemeral mode could indeed be the problem. In ephemeral mode, Prefect runs without a persistent server, which means it doesn't have access to the blocks and configurations stored on your local Prefect server. This mode is typically used for lightweight or temporary setups and doesn't maintain state between runs. Here's what you can do to resolve this: 1. Ensure Persistent Server Usage: Make sure your debugging session is connecting to your local Prefect server rather than running in ephemeral mode. You can do this by setting the

PREFECT_API_URL

environment variable to point to your local server's URL before starting the debugging session. 2. Switch Profiles: Use the Prefect CLI to switch to the profile that is configured to use your local server:

bash
   prefect profile use <your-profile-name>

3. Verify Profile Configuration: Double-check your

profiles.toml

file to ensure that the profile you are using is correctly set up to connect to the local server. The file is typically located at

~/.prefect/profiles.toml

. By ensuring that your debugging session is using the correct profile and connecting to the local server, you should be able to access the configured blocks and other settings.