It sounds like you've already taken the right steps to configure the environment, but IntelliSense is still having trouble recognizing the custom library. Here are a few more things you can try:
- Rebuild the Virtual Environment: Sometimes, the virtual environment might not properly link with VS Code. Try deleting the
.venv
folder, recreate it, and reinstall your dependencies withpip install -r requirements.txt
. - Check VS Code Python Extension: Ensure that the Python extension in VS Code is up to date. Occasionally, issues with IntelliSense can arise due to outdated extensions.
- Use the Correct Python Path: Double-check that the path to the interpreter in VS Code points to the correct virtual environment. Go to the command palette (Ctrl+Shift+P), search for “Python: Select Interpreter,” and ensure you select the correct one from
.venv
. - Check if the Library is Installed Correctly: Open a terminal in VS Code and activate your
.venv
by runningsource .venv/bin/activate
(or.venv\Scripts\activate
for Windows). Then, check if your custom library is installed withpip list
. - Add Library Path in settings.json: You might also need to explicitly add the path to the custom library in the
"python.autoComplete.extraPaths"
section ofsettings.json
, not justpython.analysis.extraPaths
.
If nothing works, try restarting VS Code and the Python language server after making changes to the configuration.
Let me know how it goes!