When recovering game state after reconnect/refresh, the old code:
1. Only looked at the last play overall (regardless of team)
2. Used that play's batting order for the currently batting team
3. Reset the non-batting team's index to 0
This caused the wrong batter to appear after inning changes - e.g.,
batter #1 showing instead of #5 in top of 2nd after bottom of 1st ended.
Fix: Now recovers each team's batter index separately by filtering
plays by half ("top" = away team, "bottom" = home team) and finding
each team's last at-bat independently.
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Co-Authored-By: Claude <noreply@anthropic.com>
Game Engine Improvements:
- State manager: Add game eviction with configurable max games, idle
timeout, and memory limits
- Game engine: Add resource cleanup on game completion
- Play resolver: Enhanced RunnerAdvancementData with lineup_id for
player name resolution in play-by-play
- Substitution manager: Minor improvements
Test Coverage:
- New test_game_eviction.py with 13 tests for eviction scenarios
- Updated state_manager tests for new functionality
- Updated play_resolver tests for lineup_id handling
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Co-Authored-By: Claude <noreply@anthropic.com>
Backend enhancements for real-time decision workflow:
**New Features**:
- decision_required event emission when game starts and after each decision
- Quick-create endpoint (/games/quick-create) for rapid testing with pre-configured lineups
- WebSocket connection manager integration in GameEngine
**Changes**:
- game_engine.py: Added _emit_decision_required() method and set_connection_manager()
- game_engine.py: Emit decision_required on game start with 5-minute timeout
- games.py: New /quick-create endpoint with Team 35 vs Team 38 lineups
- main.py: Wire connection manager to game_engine singleton
- state_manager.py: Enhanced state management for decision phases
- play_resolver.py: Improved play resolution logic
- handlers.py: Updated WebSocket handlers for new workflow
- backend/CLAUDE.md: Added WebSocket protocol spec reference
**Why**:
Eliminates polling - frontend now gets real-time notification when decisions are needed.
Quick-create saves 2 minutes of lineup setup during each test iteration.
**Testing**:
- Manual testing with terminal client
- WebSocket event flow verified with live frontend
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Co-Authored-By: Claude <noreply@anthropic.com>
Backend fixes:
- state_manager: Properly recover current_pitcher and current_catcher from
fielding team during game state recovery (fixes pitcher badge not showing)
- handlers: Add headshot field to lineup data, use lineup_service for proper
player data loading on cache miss
- lineup_service: Minor adjustments for headshot support
Frontend fixes:
- player.ts: Update Lineup type to match WebSocket event format
- lineup_id (was 'id'), card_id fields
- player.headshot for UI circles
- Optional fields for event variations
- CurrentSituation.vue: Adapt to updated type structure
- Substitution selectors: Use updated Lineup type fields
This fixes the issue where pitcher badge wouldn't show after game recovery
because current_pitcher was being set from batting team instead of fielding team.
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Co-Authored-By: Claude <noreply@anthropic.com>
Fixed state_manager._rebuild_state_from_data to provide required
current_batter field when recovering games from database. The GameState
model now requires current_batter as a LineupPlayerState object, but
recovery was not populating this field, causing validation errors.
Changes:
- state_manager.py: Create placeholder current_batter during recovery
- Build LineupPlayerState from first active batter (batting_order=1)
- Fallback to first available lineup if no #1 batter found
- Raise error if no lineups exist (invalid game state)
- _prepare_next_play() will correct the batter after recovery
- Moved get_lineup_player helper to top of method (removed duplicate)
- tests/unit/core/test_state_manager.py: Update test to use new structure
- test_update_state_nonexistent_raises_error: Create LineupPlayerState
instead of using old current_batter_lineup_id field
All 26 state_manager unit tests passing. Game recovery now works
correctly in terminal client - fixes "current_batter Field required"
validation error when running status command on recovered games.
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Co-Authored-By: Claude <noreply@anthropic.com>
**Architectural Improvement**: Unified player references in GameState
**Changed**: Make all player references consistent
- BEFORE: current_batter/pitcher/catcher were IDs (int)
- AFTER: current_batter/pitcher/catcher are full LineupPlayerState objects
- Matches pattern of on_first/on_second/on_third (already objects)
**Benefits**:
1. Consistent API - all player references use same type
2. Self-contained GameState - everything needed for resolution
3. No lookups needed - direct access to player data
4. Sets foundation for Phase 3E-Main (adding position ratings)
**Files Modified**:
- app/models/game_models.py: Changed current_batter/pitcher/catcher to objects
- app/core/game_engine.py: Updated _prepare_next_play() to populate full objects
- app/core/state_manager.py: Create placeholder batter on game creation
- tests/unit/models/test_game_models.py: Updated all 27 GameState tests
**Database Operations**:
- No schema changes needed
- Play table still stores IDs (for referential integrity)
- IDs extracted from objects when saving: state.current_batter.lineup_id
**Testing**:
- All 27 GameState tests passing
- No regressions in existing functionality
- Type checking passes
**Next**: Phase 3E-Main - Add PositionRating dataclass and load ratings at game start
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Co-Authored-By: Claude <noreply@anthropic.com>
Major Phase 2 refactoring to consolidate runner advancement logic:
**Flyball System Enhancement**:
- Add FLYOUT_BQ variant (medium-shallow depth)
- 4 flyball types with clear semantics: A (deep), B (medium), BQ (medium-shallow), C (shallow)
- Updated helper methods to include FLYOUT_BQ
**RunnerAdvancement Integration**:
- Extend runner_advancement.py to handle both groundballs AND flyballs
- advance_runners() routes to _advance_runners_groundball() or _advance_runners_flyball()
- Comprehensive flyball logic with proper DECIDE mechanics per flyball type
- No-op movements recorded for state recovery consistency
**PlayResolver Refactoring**:
- Consolidate all 4 flyball outcomes to delegate to RunnerAdvancement (DRY)
- Eliminate duplicate flyball resolution code
- Rename helpers for clarity: _advance_on_single_1/_advance_on_single_2 (was _advance_on_single)
- Fix single/double advancement logic for different hit types
**State Recovery Fix**:
- Fix state_manager.py game recovery to build LineupPlayerState objects properly
- Use get_lineup_player() helper to construct from lineup data
- Correctly track runners in on_first/on_second/on_third fields (matches Phase 2 model)
**Database Support**:
- Add runner tracking fields to play data for accurate recovery
- Include batter_id, on_first_id, on_second_id, on_third_id, and *_final fields
**Type Safety Improvements**:
- Fix lineup_id access throughout runner_advancement.py (was accessing on_first directly, now on_first.lineup_id)
- Make current_batter_lineup_id non-optional (always set by _prepare_next_play)
- Add type: ignore for known SQLAlchemy false positives
**Documentation**:
- Update CLAUDE.md with comprehensive flyball documentation
- Add flyball types table, usage examples, and test coverage notes
- Document differences between groundball and flyball mechanics
**Testing**:
- Add test_flyball_advancement.py with 21 flyball tests
- Coverage: all 4 types, DECIDE scenarios, no-op movements, edge cases
🚀 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major Refactor: Outcome-First Architecture
- PlayResolver now accepts league_id and auto_mode in constructor
- Added core resolve_outcome() method - all resolution logic in one place
- Added resolve_manual_play() wrapper for manual submissions (primary)
- Added resolve_auto_play() wrapper for PD auto mode (rare)
- Removed SimplifiedResultChart (obsolete with new architecture)
- Removed play_resolver singleton
RunnerAdvancement Integration:
- All groundball outcomes (GROUNDBALL_A/B/C) now use RunnerAdvancement
- Proper DP probability calculation with positioning modifiers
- Hit location tracked for all relevant outcomes
- 13 result types fully integrated from advancement charts
Game State Updates:
- Added auto_mode field to GameState (stored per-game)
- Updated state_manager.create_game() to accept auto_mode parameter
- GameEngine now uses state.auto_mode to create appropriate resolver
League Configuration:
- Added supports_auto_mode() to BaseGameConfig
- SbaConfig: returns False (no digitized cards)
- PdConfig: returns True (has digitized ratings)
- PlayResolver validates auto mode support and raises error for SBA
Play Results:
- Added hit_location field to PlayResult
- Groundballs include location from RunnerAdvancement
- Flyouts track hit_location for tag-up logic (future)
- Other outcomes have hit_location=None
Testing:
- Completely rewrote test_play_resolver.py for new architecture
- 9 new tests covering initialization, strikeouts, walks, groundballs, home runs
- All 9 tests passing
- All 180 core tests still passing (1 pre-existing failure unrelated)
Terminal Client:
- No changes needed - defaults to manual mode (auto_mode=False)
- Perfect for human testing of manual submissions
This completes Week 7 Task 6 - the final task of Week 7!
Week 7 is now 100% complete with all 8 tasks done.
🎯 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit includes Week 6 player models implementation and critical
performance optimizations discovered during testing.
## Player Models (Week 6 - 50% Complete)
**New Files:**
- app/models/player_models.py (516 lines)
- BasePlayer abstract class with polymorphic interface
- SbaPlayer with API parsing factory method
- PdPlayer with batting/pitching scouting data support
- Supporting models: PdCardset, PdRarity, PdBattingCard, PdPitchingCard
- tests/unit/models/test_player_models.py (692 lines)
- 32 comprehensive unit tests, all passing
- Tests for BasePlayer, SbaPlayer, PdPlayer, polymorphism
**Architecture:**
- Simplified single-layer approach vs planned two-layer
- Factory methods handle API → Game transformation directly
- SbaPlayer.from_api_response(data) - parses SBA API inline
- PdPlayer.from_api_response(player_data, batting_data, pitching_data)
- Full Pydantic validation, type safety, and polymorphism
## Performance Optimizations
**Database Query Reduction (60% fewer queries per play):**
- Before: 5 queries per play (INSERT play, SELECT play with JOINs,
SELECT games, 2x SELECT lineups)
- After: 2 queries per play (INSERT play, UPDATE games conditionally)
Changes:
1. Lineup caching (game_engine.py:384-425)
- Check state_manager.get_lineup() cache before DB fetch
- Eliminates 2 SELECT queries per play
2. Remove unnecessary refresh (operations.py:281-302)
- Removed session.refresh(play) after INSERT
- Eliminates 1 SELECT with 3 expensive LEFT JOINs
3. Direct UPDATE statement (operations.py:109-165)
- Changed update_game_state() to use direct UPDATE
- No longer does SELECT + modify + commit
4. Conditional game state updates (game_engine.py:200-217)
- Only UPDATE games table when score/inning/status changes
- Captures state before/after and compares
- ~40-60% fewer updates (many plays don't score)
## Bug Fixes
1. Fixed outs_before tracking (game_engine.py:551)
- Was incorrectly calculating: state.outs - result.outs_recorded
- Now correctly captures: state.outs (before applying result)
- All play records now have accurate out counts
2. Fixed game recovery (state_manager.py:312-314)
- AttributeError when recovering: 'GameState' has no attribute 'runners'
- Changed to use state.get_all_runners() method
- Games can now be properly recovered from database
## Enhanced Terminal Client
**Status Display Improvements (terminal_client/display.py:75-97):**
- Added "⚠️ WAITING FOR ACTION" section when play is pending
- Shows specific guidance:
- "The defense needs to submit their decision" → Run defensive [OPTIONS]
- "The offense needs to submit their decision" → Run offensive [OPTIONS]
- "Ready to resolve play" → Run resolve
- Color-coded command hints for better UX
## Documentation Updates
**backend/CLAUDE.md:**
- Added comprehensive Player Models section (204 lines)
- Updated Current Phase status to Week 6 (~50% complete)
- Documented all optimizations and bug fixes
- Added integration examples and usage patterns
**New Files:**
- .claude/implementation/week6-status-assessment.md
- Comprehensive Week 6 progress review
- Architecture decision rationale (single-layer vs two-layer)
- Completion status and next priorities
- Updated roadmap for remaining Week 6 work
## Test Results
- Player models: 32/32 tests passing
- All existing tests continue to pass
- Performance improvements verified with terminal client
## Next Steps (Week 6 Remaining)
1. Configuration system (BaseConfig, SbaConfig, PdConfig)
2. Result charts & PD play resolution with ratings
3. API client for live roster data (deferred)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Replaced awkward "lookback" pattern with clean "prepare → execute → save"
orchestration that captures state snapshots BEFORE each play.
Key improvements:
- Added per-team batter indices (away_team_batter_idx, home_team_batter_idx)
- Added play snapshot fields (current_batter/pitcher/catcher_lineup_id)
- Added on_base_code bit field for efficient base situation queries
- Created _prepare_next_play() method for snapshot preparation
- Refactored start_game() with hard lineup validation requirement
- Refactored resolve_play() with explicit 6-step orchestration
- Updated _save_play_to_db() to use snapshots (no DB lookbacks)
- Enhanced state recovery to rebuild from last play (single query)
- Added defensive lineup position validator
Benefits:
- No special cases for first play
- Single source of truth in GameState
- Saves 18+ database queries per game
- Fast state recovery without replay
- Complete runner tracking (before/after positions)
- Explicit orchestration (easy to debug)
Testing:
- Added 3 new test functions (lineup validation, snapshot tracking, batting order)
- All 5 test suites passing (100%)
- Type checking cleaned up with targeted suppressions for SQLAlchemy
Documentation:
- Added comprehensive "Type Checking & Common False Positives" section to CLAUDE.md
- Created type-checking-guide.md and type-checking-summary.md
- Added mypy.ini configuration for SQLAlchemy/Pydantic
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Co-Authored-By: Claude <noreply@anthropic.com>