Udaipur's Python

A VS Code extension that performs deep static analysis on the currently open Python file using Python's own ast module, and renders a structured report — file stats, control-flow counts, OOP usage, complexity metrics, and actionable code-quality suggestions.

Run Python: Analyze Current File from the Command Palette (or right-click a .py file) to get a report like this:

📄 File Information        🔁 Loops              🔀 Conditions
Total Lines   : 125         For Loop : 4          If    : 5
Blank Lines   : 18          While    : 1          Elif  : 2
Comments      : 14                                Else  : 4

⚠ Exception Handling   📂 File Handling   📚 Collections
try     : 2             open() : 3          Lists : 5
except  : 2                                 Dict  : 4
finally : 1

🏗 OOP                  ⭐ Complexity
Classes : 2              Nested Loops : 2
Objects : 3               Max Depth    : 3
Inheritance : Yes         Avg Complexity: 3.2

💡 Suggestions
• Remove unused import 'random'.
• Function 'test()' is too long (63 lines).
• Variable 'a' should have a more meaningful name.

✨ Features

Structure

• Line / blank / comment counts
• Imports, module-level variables
• Function & class counts, loop & conditional counts
• Exception handling (try / except / finally)
• File I/O (open()), collection literal counts
• OOP: class count, heuristic object count, inheritance detection

Complexity

• Nested loop detection + max nesting depth
• Per-function cyclomatic complexity (basic: decision points + boolean operators)
• Average function length & average complexity across the file

Code Quality Suggestions (v2)

• ✅ Unused imports
• ✅ Unused variables
• ✅ Duplicate functions (structurally identical bodies)
• ✅ Long functions (> 50 lines)
• ✅ TODO comment collection
• ✅ Average function length
• ✅ Basic cyclomatic complexity per function
• ✅ Estimated skill level: Beginner / Intermediate / Advanced, based on language features actually used (comprehensions, decorators, async/await, inheritance, context managers, etc.)

🧱 Architecture

python-analyzer-extension/
├── package.json          # extension manifest (commands, menus, settings)
├── src/
│   └── extension.ts      # extension host: runs analyzer.py, renders Webview
├── python/
│   └── analyzer.py       # ast-based static analysis, emits JSON on stdout
└── out/                  # compiled JS (generated by `npm run compile`)

The extension shells out to a bundled Python script rather than re-implementing a Python parser in TypeScript — this keeps the analysis accurate (real AST, not regex guessing) at the cost of requiring Python 3 on the user's machine, which is a safe assumption for anyone editing .py files in VS Code.

🚀 Getting Started (development)

npm install
npm run compile

Then press F5 in VS Code (with this folder open) to launch an Extension Development Host. Open any .py file there and run Python: Analyze Current File from the Command Palette (Ctrl+Shift+P / Cmd+Shift+P).

Requirements

• Python 3 available as python3 (or python on Windows) on PATH. If it's somewhere else, set pythonAnalyzer.pythonPath in Settings.

📦 Packaging

npm install -g @vscode/vsce
vsce package

This produces a .vsix file you can install via Extensions → ... → Install from VSIX, or publish to the Marketplace.

🗺 Roadmap / Ideas for v3

• Inline diagnostics (squiggly underlines) instead of/alongside the report panel, using the vscode.languages.createDiagnosticCollection API
• Per-function complexity heatmap in the sidebar
• Configurable thresholds (long-function line count, complexity limit) via pythonAnalyzer.* settings
• "Explain this suggestion" hover popovers
• Workspace-wide analysis (aggregate report across all .py files)
• Unit tests for analyzer.py (pytest) and the extension (@vscode/test-electron)

License

MIT — do whatever you like with it, attribution appreciated.