Jonathan
10/11/2024, 12:51 PM@flow
decorator stops me from seeing the method’s docstring in hover-over. Is that normal, is there a way to restore it?Marvin
10/11/2024, 1:39 PM@flow
decorator and hover-over docstrings in VS Code.
Using decorators like @flow
from the Prefect library could potentially interfere with standard Python tools in VS Code that display docstrings on hover. This is because decorators can alter the function metadata, and some IDEs may not fully process the decorator to provide the original docstring.
Here are a few approaches to try and troubleshoot or resolve this:
1. Check Python Extension: Make sure your Python extension for VS Code is up to date. Sometimes, updates may resolve such issues.
2. Use Type Hints: Adding type hints to your functions might help VS Code better understand the function and display additional information.
3. Alternative Docstring Access: If hovering over doesn't work, you can click on the function name and press Ctrl + Shift + Space
to manually trigger the parameter info dropdown, which sometimes includes docstrings.
4. Decorator Introspection: Ensure that the @flow
decorator has the necessary introspection code to keep the original function's docstring intact by checking if it uses functools.wraps
or a similar mechanism to preserve the original function's metadata.
To provide a more precise solution, checking the specific behavior of Prefect decorators in the version you are using could help. If this issue persists, consider raising a bug or feature request on the official Prefect GitHub repository.Marvin
10/11/2024, 1:39 PM@flow
decorator is not widely documented or reported specifically in the available Prefect resources. This can often happen due to the way decorators work, as they can alter the function metadata.
Here are a few steps you might consider to address this:
1. Check VS Code Extensions: Ensure that your Python extension in VS Code is up to date, as the functionality of hover information can depend on such tools.
2. Use functools.wraps
: If you’re defining custom decorators, using functools.wraps
can be helpful in preserving the original function’s metadata, including the docstring. However, Prefect's @flow
decorator is a built-in feature, so this won’t directly apply unless you're customizing it.
3. Check for Updates: Make sure both Prefect and its VS Code extension are updated, as issues like these can sometimes be resolved in updates.
4. Direct Inquiry with Prefect Community: Since documentation and GitHub issues didn’t reveal a related issue, reaching out directly to the Prefect community, forums, or their support might provide more insight or a workaround.
Unfortunately, the documentation doesn't delve into this specific VS Code behavior with the @flow
decorator. You may have to rely on community support to see if others have encountered and solved this issue.
If you'd like, I can guide you on how to reach out to the Prefect community or suggest further steps.Marvin
10/11/2024, 1:39 PM@flow
.
This behavior may occur because decorators can sometimes mask the underlying function attributes, such as docstrings, in tools like linters and IDEs. Here are a few potential solutions or workarounds:
1. Check Prefect Version: First, confirm which version of Prefect you're using. Prefect 2.x and 3.x may have different behaviors or updates that could address known issues. You might want to check the release notes or known issues on Prefect's GitHub.
2. Use the inspect
Module: If you still want to access the docstring, consider using Python's inspect
module to get docstrings manually. For instance:
python
import inspect
print(inspect.getdoc(your_flow_function))
3. Alternative Decorator Usage: Try structuring your code to minimize conflicts with decorators and docstring retrieval. Sometimes, changing how decorators are applied or how functions are structured can help.
4. VS Code Extensions: Some extensions might help manage this behavior better. Check if there's a specific extension that might improve Python or decorator handling.
For a definitive solution, keeping an eye on Prefect's issue tracker or updates could highlight a known problem or an incoming fix. If you have access to the release notes of new Prefect versions, they may also contain relevant information on such IDE integration issues.