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testsAndMisc/python_pkg/stockfish_analysis
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Krzysztof kuhy Rudnicki 5573435b7d fix(lint): BLE001 - replace blind except with specific exceptions 
Replace bare 'except Exception' with specific exception types:
- ValueError for move parsing (chess.Move.from_uci, board.push_uci)
- json.JSONDecodeError for JSON parsing
- OSError for file operations
- ImportError for optional imports
- AttributeError for attribute access
- TypeError for type-related operations
- requests.RequestException for HTTP operations
- subprocess.SubprocessError for subprocess failures
- selenium.NoSuchElementException for element finding

Also fixes:
- pytest hook signature issue in conftest.py (_config -> _)
- Missing file handling in test_puzzles.py
- Line length in stockfish_analysis.py

Removes all BLE001 per-file ignores from pyproject.toml.
2025-11-30 21:37:47 +01:00
..
analyze_chess_game.py fix(lint): BLE001 - replace blind except with specific exceptions 2025-11-30 21:37:47 +01:00
README.md refactor: rename folders to fix N999, INP001, S311 linting rules 2025-11-30 21:20:17 +01:00
requirements.txt refactor: rename folders to fix N999, INP001, S311 linting rules 2025-11-30 21:20:17 +01:00
run.sh refactor: rename folders to fix N999, INP001, S311 linting rules 2025-11-30 21:20:17 +01:00

README.md

Chess move analysis with Stockfish

This utility parses a PGN (or a log that contains a PGN section) and evaluates each move with a local Stockfish engine, printing a per-move quality rating.

Install

Install python dependencies:

pip install -r PYTHON/stockfish_analysis/requirements.txt

Ensure Stockfish is installed and available in your PATH (or provide the path via --engine). On Linux, you can typically install with your package manager or download a binary.

Run

From the repo root:

python3 PYTHON/analyze_chess_game.py lichess_bot_game_8GSdY3Ci.log

Options:

  • --engine /path/to/stockfish to specify a custom engine path
  • --time 0.2 seconds per evaluation (default)
  • --depth 12 fixed depth instead of time

The script prints a table with, for each ply:

  • side to move, SAN move, eval before/after from mover's POV, delta, classification, and Stockfish best move suggestion.