Commit Graph

3 Commits

Author SHA1 Message Date
Cal Corum
beb939b32a CLAUDE: Fix all unit test failures and implement 100% test requirement
Test Fixes (609/609 passing):
- Fixed DiceSystem API to accept team_id/player_id parameters for audit trails
- Fixed dice roll history timing issue in test
- Fixed terminal client mock to match resolve_play signature (X-Check params)
- Fixed result chart test mocks with missing pitching fields
- Fixed flaky test by using groundball_a (exists in both batting/pitching)

Documentation Updates:
- Added Testing Policy section to backend/CLAUDE.md
- Added Testing Policy section to tests/CLAUDE.md
- Documented 100% unit test requirement before commits
- Added git hook setup instructions

Git Hook System:
- Created .git-hooks/pre-commit script (enforces 100% test pass)
- Created .git-hooks/install-hooks.sh (easy installation)
- Created .git-hooks/README.md (hook documentation)
- Hook automatically runs all unit tests before each commit
- Blocks commits if any test fails

All 609 unit tests now passing (100%)
Integration tests have known asyncpg connection issues (documented)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-04 19:35:21 -06:00
Cal Corum
6880b6d5ad CLAUDE: Complete Week 6 - granular PlayOutcome integration and metadata support
- Renamed check_d20 → chaos_d20 throughout dice system
- Expanded PlayOutcome enum with granular variants (SINGLE_1/2, DOUBLE_2/3, GROUNDBALL_A/B/C, etc.)
- Integrated PlayOutcome from app.config into PlayResolver
- Added play_metadata support for uncapped hit tracking
- Updated all tests (139/140 passing)

Week 6: 100% Complete - Ready for Phase 3

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-29 20:29:06 -05:00
Cal Corum
874e24dc75 CLAUDE: Implement comprehensive dice roll system with persistence
Core Implementation:
- Created roll_types.py with AbRoll, JumpRoll, FieldingRoll, D20Roll dataclasses
- Implemented DiceSystem singleton with cryptographically secure random generation
- Added Roll model to db_models.py with JSONB storage for roll history
- Implemented save_rolls_batch() and get_rolls_for_game() in database operations

Testing:
- 27 unit tests for roll type dataclasses (100% passing)
- 35 unit tests for dice system (34/35 passing, 1 timing issue)
- 16 integration tests for database persistence (uses production DiceSystem)

Features:
- Unique roll IDs using secrets.token_hex()
- League-specific logic (SBA d100 rare plays, PD error-based rare plays)
- Automatic derived value calculation (d6_two_total, jump_total, error_total)
- Full audit trail with context metadata
- Support for batch saving rolls per inning

Technical Details:
- Fixed dataclass inheritance with kw_only=True for Python 3.13
- Roll data stored as JSONB for flexible querying
- Indexed on game_id, roll_type, league_id, team_id for efficient retrieval
- Supports filtering by roll type, team, and timestamp ordering

Note: Integration tests have async connection pool issue when run together
(tests work individually, fixture cleanup needed in follow-up branch)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 08:29:02 -05:00