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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
.venvfolder, 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 Occasionally, issues with IntelliSense can arise due to outdated extensions.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
.venvby runningsource .venv/bin/activate(or.venv\Scripts\activatefor 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!