: Hover over the underlined import and select "Quick Fix..." to see if Pylance can resolve the path automatically. Step 4: Verify Dependencies
"include": ["src", "."], "exclude": [".venv", "tests", "dist"], "venvPath": ".", "venv": ".venv", "extraPaths": ["src"]
Install the extension ( ms-python.poetry ). Then:
: VS Code will now prioritize this local .venv automatically, resolving Pylance import issues for all future sessions. Alternative Troubleshooting Steps pylance missing imports poetry link
Open the Command Palette using Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (macOS). Type and select .
This issue occurs most frequently when using for dependency management. Poetry’s unique approach to virtual environment management and project isolation often confuses Pylance, Microsoft’s default, powerful language server.
This creates a poetry.toml file in your project, ensuring the setting is specific to this project and won't affect others. : Hover over the underlined import and select "Quick Fix
Once aligned, Pylance delivers fast, accurate autocompletion, type checking, and navigation – making Poetry + Pylance a genuinely joyful development experience.
Simplifies detection by placing .venv in the project folder. Ensures Pylance uses the correct libraries. Restart Pylance Forces re-indexing of installed packages.
This error occurs when Pylance—the language server analyzing your code—cannot find the libraries you have installed via Poetry. The root cause is a disconnect between and VS Code’s interpreter setting . a language server for Python
When working with Python projects, especially those managed by Poetry, encountering issues with PyLance missing imports can be frustrating. PyLance, a language server for Python, provides features like auto-completion, debugging, and code analysis. However, when it fails to detect imports, it can hinder productivity. In this piece, we'll explore how to resolve the PyLance missing imports issue in a Poetry-managed project.
The most common cause is that VS Code is using your global Python interpreter instead of the one managed by Poetry.
Do you prefer your virtual environments or in a central cache ? What Python version is your project currently targeting?