Bryan
10/18/2024, 4:47 PMMarvin
10/18/2024, 4:47 PMmutual-of-enumclaw/dw_prefect_nucleus
repository regarding this pip dependency conflict with Prefect 3.x. The same query in the general Prefect repository also didn't yield any results.
To resolve this dependency conflict, you should ensure that you strictly specify a compatible version of Prefect in your requirements or environment settings. Here's what you can do:
1. Check and Update Requirements: Ensure that your requirements.txt
or setup.py
, or wherever your dependencies are defined, explicitly specifies a compatible version of Prefect that aligns with prefect-moe
requirements. For this case, specify <2.20.0,>=2.19.2
as required by prefect-moe
.
2. Refactor the Prefect Installation Steps:
- Explicitly install a compatible version of Prefect before installing anything that depends on it. You might adjust your pip commands like so:
pip install "prefect>=2.19.2,<2.20.0"
pip install -r requirements.txt
3. Check Workflow Configuration: Confirm that your GitHub workflow configuration doesn't inadvertently use a command that installs Prefect 3.x. This could happen if another dependency in your workflow or a global dependency is automatically pulling Prefect 3.x.
4. Lock Dependency Versions: If using something like pip-tools
to manage dependencies, make sure your lock files are up to date and capturing the correct set of versions aligning with `prefect-moe`'s requirements.
By ensuring that your dependencies explicitly match the compatible versions required by prefect-moe
, you should circumvent the dependency conflict. Let me know if you need further assistance!Bryan
10/18/2024, 4:51 PMMarvin
10/18/2024, 4:51 PMpipdeptree
can help visualize the dependency tree.
2. Environment Verification:
- Ensure that your runtime environment isn't defaulting to a Prefect 3.x installation. Check your environment setup scripts or Docker images for any reference or default version settings.
3. Lock Versions:
- Utilize a requirements.lock
file or a similar mechanism to lock versions across all dependencies. This ensures the same versions are used consistently.
4. Prefect 2.x Documentation & Resources:
- Refer to Prefect's troubleshooting guide for common issues that might be related.
- The recent release notes didn't explicitly note any metadata handling changes that would trigger such a discrepancy.
5. Clear Caches:
- Sometimes, cache issues can lead to unexpected package versions during installs. Clear pip cache using pip cache purge
.
6. Specify Exact Versions in Workflow:
- Explicitly include pip install "prefect==2.19.2"
early in your GitHub workflow script before any other pip installations.
If after these steps the issue persists, consider reaching out to the Prefect community or your specific project's maintainers for additional insights.