Commit Graph

7 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
cc5bf43e84 CLAUDE: Complete Phase 3B - Add all 6 infield error charts
Added complete error chart data for all infield positions to finalize
Phase 3B X-Check league config tables implementation.

Changes:
- Added CATCHER_ERROR_CHART (17 ratings: 0-16)
- Added FIRST_BASE_ERROR_CHART (31 ratings: 0-30)
- Added SECOND_BASE_ERROR_CHART (40 ratings: 0-71, sparse)
- Added THIRD_BASE_ERROR_CHART (45 ratings: 0-65, sparse)
- Added SHORTSTOP_ERROR_CHART (43 ratings: 0-88, sparse)
- Added PITCHER_ERROR_CHART (40 ratings: 0-51, sparse)

All charts follow same structure as outfield charts with E3 field
(empty for infield positions). Total ~250 lines of error chart data.

Testing:
- Updated test_infield_error_charts_complete() to verify charts populated
- All 36 X-Check table tests passing
- Verified chart structure matches outfield charts

Phase 3B Status: 100% COMPLETE 
All defense tables complete, all error charts complete, ready for Phase 3C

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-02 14:33:59 -06:00
Cal Corum
0b6076d5b8 CLAUDE: Implement Phase 3B - X-Check league config tables
Complete X-Check resolution table system for defensive play outcomes.

Components:
- Defense range tables (20×5) for infield, outfield, catcher
- Error charts for LF/RF and CF (ratings 0-25)
- Placeholder error charts for P, C, 1B, 2B, 3B, SS (awaiting data)
- get_fielders_holding_runners() - Complete implementation
- get_error_chart_for_position() - Maps all 9 positions
- 6 X-Check placeholder advancement functions (g1-g3, f1-f3)

League Config Integration:
- Both SbaConfig and PdConfig include X-Check tables
- Shared common tables via league_configs.py
- Attributes: x_check_defense_tables, x_check_error_charts, x_check_holding_runners

Testing:
- 36 tests for X-Check tables (all passing)
- 9 tests for X-Check placeholders (all passing)
- Total: 45/45 tests passing

Documentation:
- Updated backend/CLAUDE.md with Phase 3B section
- Updated app/config/CLAUDE.md with X-Check tables documentation
- Updated app/core/CLAUDE.md with X-Check placeholder functions
- Updated tests/CLAUDE.md with new test counts (519 unit tests)
- Updated phase-3b-league-config-tables.md (marked complete)
- Updated NEXT_SESSION.md with Phase 3B completion

What's Pending:
- 6 infield error charts need actual data (P, C, 1B, 2B, 3B, SS)
- Phase 3C will implement full X-Check resolution logic

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-01 19:50:55 -05:00
Cal Corum
76e24ab22b CLAUDE: Refactor ManualOutcomeSubmission to use PlayOutcome enum + comprehensive documentation
## Refactoring
- Changed `ManualOutcomeSubmission.outcome` from `str` to `PlayOutcome` enum type
- Removed custom validator (Pydantic handles enum validation automatically)
- Added direct import of PlayOutcome (no circular dependency due to TYPE_CHECKING guard)
- Updated tests to use enum values while maintaining backward compatibility

Benefits:
- Better type safety with IDE autocomplete
- Cleaner code (removed 15 lines of validator boilerplate)
- Backward compatible (Pydantic auto-converts strings to enum)
- Access to helper methods (is_hit(), is_out(), etc.)

Files modified:
- app/models/game_models.py: Enum type + import
- tests/unit/config/test_result_charts.py: Updated 7 tests + added compatibility test

## Documentation
Created comprehensive CLAUDE.md files for all backend/app/ subdirectories to help future AI agents quickly understand and work with the code.

Added 8,799 lines of documentation covering:
- api/ (906 lines): FastAPI routes, health checks, auth patterns
- config/ (906 lines): League configs, PlayOutcome enum, result charts
- core/ (1,288 lines): GameEngine, StateManager, PlayResolver, dice system
- data/ (937 lines): API clients (planned), caching layer
- database/ (945 lines): Async sessions, operations, recovery
- models/ (1,270 lines): Pydantic/SQLAlchemy models, polymorphic patterns
- utils/ (959 lines): Logging, JWT auth, security
- websocket/ (1,588 lines): Socket.io handlers, real-time events
- tests/ (475 lines): Testing patterns and structure

Each CLAUDE.md includes:
- Purpose & architecture overview
- Key components with detailed explanations
- Patterns & conventions
- Integration points
- Common tasks (step-by-step guides)
- Troubleshooting with solutions
- Working code examples
- Testing guidance

Total changes: +9,294 lines / -24 lines
Tests: All passing (62/62 model tests, 7/7 ManualOutcomeSubmission tests)
2025-10-31 16:03:54 -05:00
Cal Corum
9245b4e008 CLAUDE: Implement Week 7 Task 3 - Result chart abstraction and PD auto mode
Core Implementation:
- Added ResultChart abstract base class with get_outcome() method
- Implemented calculate_hit_location() helper for hit distribution
  - 45% pull, 35% center, 20% opposite field
  - RHB pulls left, LHB pulls right
  - Groundballs → infield positions, flyouts → outfield positions
- Added PlayOutcome.requires_hit_location() helper method
  - Returns True for groundballs and flyouts only

Manual Mode Support:
- Added ManualResultChart (passthrough for interface completeness)
- Manual mode doesn't use result charts - players submit directly
- Added ManualOutcomeSubmission model for WebSocket submissions
  - Validates PlayOutcome enum values
  - Validates hit location positions (1B, 2B, SS, 3B, LF, CF, RF, P, C)

PD Auto Mode Implementation:
- Implemented PdAutoResultChart for automated outcome generation
  - Coin flip (50/50) to choose batting or pitching card
  - Gets rating for correct handedness matchup
  - Builds cumulative distribution from rating percentages
  - Rolls 1d100 to select outcome
  - Calculates hit location using handedness and pull rates
- Maps rating fields to PlayOutcome enum:
  - Common: homerun, triple, doubles, singles, walks, strikeouts
  - Batting-specific: lineouts, popouts, flyout variants, groundout variants
  - Pitching-specific: uncapped singles/doubles, flyouts by location
- Proper error handling when card data missing

Testing:
- Created 21 comprehensive unit tests (all passing)
- Helper function tests (calculate_hit_location)
- PlayOutcome helper tests (requires_hit_location)
- ManualResultChart tests (NotImplementedError)
- PdAutoResultChart tests:
  - Coin flip distribution (~50/50)
  - Handedness matchup selection
  - Cumulative distribution building
  - Outcome selection from probabilities
  - Hit location calculation
  - Error handling for missing cards
  - Statistical distribution verification (1000 trials)
- ManualOutcomeSubmission validation tests
  - Valid/invalid outcomes
  - Valid/invalid hit locations
  - Optional location handling

Deferred to Future Tasks:
- PlayResolver integration (Phase 6 - Week 7 Task 3B)
- Terminal client manual outcome command (Phase 8)
- WebSocket handlers for manual submissions (Week 7 Task 6)
- Runner advancement logic using hit locations (Week 7 Task 4)

Files Modified:
- app/config/result_charts.py: Added base class, auto mode, and helpers
- app/models/game_models.py: Added ManualOutcomeSubmission model
- tests/unit/config/test_result_charts.py: 21 comprehensive tests

All tests passing, no regressions.
2025-10-30 12:42:41 -05:00
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

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-29 20:29:06 -05:00
Cal Corum
5d5c13f2b8 CLAUDE: Implement Week 6 league configuration and play outcome systems
Week 6 Progress: 75% Complete

## Components Implemented

### 1. League Configuration System 
- Created BaseGameConfig abstract class for league-agnostic rules
- Implemented SbaConfig and PdConfig with league-specific settings
- Immutable configs (frozen=True) with singleton registry
- 28 unit tests, all passing

Files:
- backend/app/config/base_config.py
- backend/app/config/league_configs.py
- backend/tests/unit/config/test_league_configs.py

### 2. PlayOutcome Enum 
- Universal enum for all play outcomes (both SBA and PD)
- Helper methods: is_hit(), is_out(), is_uncapped(), is_interrupt()
- Supports standard hits, uncapped hits, interrupt plays, ballpark power
- 30 unit tests, all passing

Files:
- backend/app/config/result_charts.py
- backend/tests/unit/config/test_play_outcome.py

### 3. Player Model Refinements 
- Fixed PdPlayer.id field mapping (player_id → id)
- Improved field docstrings for image types
- Fixed position checking logic in SBA helper methods
- Added safety checks for missing image data

Files:
- backend/app/models/player_models.py (updated)

### 4. Documentation 
- Updated backend/CLAUDE.md with Week 6 section
- Documented card-based resolution mechanics
- Detailed config system and PlayOutcome usage

## Architecture Decisions

1. **Card-Based Resolution**: Both SBA and PD use same mechanics
   - 1d6 (column) + 2d6 (row) + 1d20 (split resolution)
   - PD: Digitized cards with auto-resolution
   - SBA: Manual entry from physical cards

2. **Immutable Configs**: Prevent accidental modification using Pydantic frozen

3. **Universal PlayOutcome**: Single enum for both leagues reduces duplication

## Testing
- Total: 58 tests, all passing
- Config tests: 28
- PlayOutcome tests: 30

## Remaining Work (25%)
- Update dice system (check_d20 → chaos_d20)
- Integrate PlayOutcome into PlayResolver
- Add Play.metadata support for uncapped hits

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-28 22:46:12 -05:00