@Marvin Hi. I'm migrating from agents to workers deployment. In the agents' version I use

with open('some_file.csv') as file: ...

When I run the script locally all is fine. When I deploy it is says File Not Found. It seems the working directore is the upper one - the root the remote file system.

entrypoint='..._flow/....py:..._flow',

How can I make it work both localy and when deployed to the remote file system?

To help you resolve the issue with file paths when deploying your Prefect flows, I'll need to confirm which version of Prefect you are using. This will allow me to tailor the solution specifically for your environment. I'll begin by checking the latest release notes and documentation for Prefect to ensure I have the most up-to-date information. It seems I overlooked the requirement for specific queries when searching the Prefect documentation for both 2.x and 3.x versions. However, I found the latest release notes for Prefect, which primarily discuss recent enhancements and bug fixes. You can find the full changelog here: https://github.com/PrefectHQ/prefect/compare/3.0.10...3.0.11. Now, I'll focus on searching the documentation specifically about handling file paths in different execution environments for deployed Prefect flows. Let's try that again by narrowing our search. To resolve the issue with file paths in both local and remote deployments when using workers instead of agents in Prefect, consider the following approach based on the available documentation: 1. Understand the Infrastructure Setup: Switching from agents to workers requires a different setup, as workers are not a direct replacement for agents. Workers combine features of agents with infrastructure blocks. This means specifying default configurations for jobs, which include working directories and handling infrastructure parameters via work pools. 2. Set the Working Directory Explicitly: When deploying your flow, explicitly set the working directory within your deployment settings. This setting will be respected by the worker when it runs your flow. Refer to your entrypoint and ensure paths are correctly set relative to the working directory you've specified. 3. Testing Across Environments: Make sure to test the deployment locally in an environment that closely mimics the remote setup. Ensure that any paths used in scripts are relative or correctly configured to work with the deployment’s root directory. 4. Remote Deployment Guidance: In your deployment file (e.g.,

deployment.yaml

if applicable), you should configure the working directory. Prefect allows you to specify such configurations to ensure consistency between local and remote environments. For more detailed guides, you can check the documentation on how to upgrade from agents to workers in Prefect 3.x. If you face specific issues or errors when setting these configurations, feel free to ask for more targeted help!