Terminal Client Enhancements:
- Added list_outcomes command to display all PlayOutcome values
- Added resolve_with <outcome> command for testing specific scenarios
- TAB completion for all outcome names
- Full help documentation and examples
- Infrastructure ready for Week 7 integration
Files Modified:
- terminal_client/commands.py - list_outcomes() and forced outcome support
- terminal_client/repl.py - do_list_outcomes() and do_resolve_with() commands
- terminal_client/completions.py - VALID_OUTCOMES and complete_resolve_with()
- terminal_client/help_text.py - Help entries for new commands
Phase 3 Planning:
- Created comprehensive Week 7 implementation plan (25 pages)
- 6 major tasks covering strategic decisions and result charts
- Updated 00-index.md to mark Week 6 as 100% complete
- Documented manual outcome testing feature
Week 6: 100% Complete ✅
Phase 3 Week 7: Ready to begin
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- 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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Updated week 6 status and created comprehensive next session plan.
## Changes
### Implementation Status Updates
- Updated 00-index.md with Week 6 progress (75% complete)
- Updated 02-week6-league-features.md status and goals
- Added new components to status table:
- League Configs: ✅ Complete
- PlayOutcome Enum: ✅ Complete
- PlayResolver Integration: 🟡 Partial
### Next Session Plan (NEW)
Created NEXT_SESSION.md with detailed task breakdown:
**Task 1: Update Dice System** (30 min)
- Rename check_d20 → chaos_d20
- Update docstrings for chaos die purpose
- Update all references
**Task 2: Integrate PlayOutcome** (60 min)
- Replace old local enum with universal enum
- Update SimplifiedResultChart
- Add uncapped hit handling
- Update all outcome references
**Task 3: Add Play.metadata** (30 min)
- Add JSONB metadata field to Play model
- Log uncapped hits in metadata
- Update game_engine._save_play_to_db()
## Quick Context for Next Session
**What's Complete**: Config system, PlayOutcome enum, 58 tests passing
**What's Remaining**: Dice system update, PlayResolver integration, metadata support
**Estimated Time**: 2 hours
**Success Criteria**: All tests passing, uncapped hits tracked, terminal client works
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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)
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Split player model architecture into dedicated documentation files for clarity
and maintainability. Added Phase 1 status tracking and comprehensive player
model specs covering API models, game models, mappers, and testing strategy.
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Add comprehensive unit and integration tests for Week 5 deliverables:
- test_play_resolver.py: 18 tests covering outcome resolution and runner advancement
- test_validators.py: 36 tests covering game state, decisions, lineups, and flow
- test_game_engine.py: 7 test classes for complete game flow integration
Update implementation documentation to reflect completed status:
- 00-index.md: Mark Phase 2 Weeks 4-5 complete with test coverage
- 02-week5-game-logic.md: Comprehensive test details and completion status
- 02-game-engine.md: Forward-looking snapshot pattern documentation
Week 5 now fully complete with 54 unit tests + 7 integration test classes passing.
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Added comprehensive documentation for the GameEngine refactor:
- refactor_overview.md: Detailed plan for forward-looking play tracking
- status-2025-10-24-1430.md: Session summary from Phase 2 implementation
These documents capture the architectural design decisions and
implementation roadmap that guided the refactor completed in commit 13e924a.
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Updated Lineup model to support both leagues using the same pattern as RosterLink:
- Made card_id nullable (PD league)
- Added player_id nullable (SBA league)
- Added XOR CHECK constraint to ensure exactly one ID is populated
- Created league-specific methods: add_pd_lineup_card() and add_sba_lineup_player()
- Replaced generic create_lineup_entry() with league-specific methods
Database migration applied to convert existing schema.
Bonus fix: Resolved Pendulum DateTime + asyncpg timezone compatibility issue
by using .naive() on all DateTime defaults in Game, Play, and GameSession models.
Updated tests to use league-specific lineup methods.
Archived migration docs and script to .claude/archive/ for reference.
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Initialize both Nuxt 3 frontends (SBA and PD) with full configuration:
Frontend Setup:
- Initialized Nuxt 3 projects for both leagues (SBA and PD)
- Installed dependencies: Tailwind CSS, Pinia, Socket.io-client, Axios
- Configured league-specific settings in nuxt.config.ts
- Created WebSocket plugins for real-time communication
- Set up TypeScript with strict mode and type checking
- Configured Tailwind CSS for styling
Backend Updates:
- Updated database models documentation in backend/CLAUDE.md
- Enhanced db_models.py with additional relationship patterns
Documentation:
- Updated Phase 1 completion checklist (12/12 items - 100% complete)
- Marked all infrastructure objectives as complete
Running Services:
- Backend (FastAPI + Socket.io): http://localhost:8000
- Frontend SBA: http://localhost:3000
- Frontend PD: http://localhost:3001
- Redis: port 6379
- PostgreSQL: Connected to remote server
Phase 1 is now complete. Ready to proceed to Phase 2 (Game Engine Core).
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Implemented full FastAPI backend with WebSocket support, database models,
and comprehensive documentation for the Paper Dynasty game engine.
Backend Implementation:
- FastAPI application with Socket.io WebSocket server
- SQLAlchemy async database models (Game, Play, Lineup, GameSession)
- PostgreSQL connection to dev server (10.10.0.42:5432)
- Connection manager for WebSocket lifecycle
- JWT authentication utilities
- Health check and stub API endpoints
- Rotating file logger with Pendulum datetime handling
- Redis via Docker Compose for caching
Technical Details:
- Python 3.13 with updated package versions
- Pendulum 3.0 for all datetime operations
- Greenlet for SQLAlchemy async support
- Fixed SQLAlchemy reserved column names (metadata -> *_metadata)
- Pydantic Settings with JSON array format for lists
- Docker Compose V2 commands
Documentation:
- Updated backend/CLAUDE.md with environment-specific details
- Created .claude/ENVIRONMENT.md for gotchas and quirks
- Created QUICKSTART.md for developer onboarding
- Documented all critical learnings and troubleshooting steps
Database:
- Tables created: games, plays, lineups, game_sessions
- All indexes and foreign keys configured
- Successfully tested connection and health checks
Verified:
- Server starts at http://localhost:8000
- Health endpoints responding
- Database connection working
- WebSocket infrastructure functional
- Hot-reload working
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Add comprehensive project documentation and Docker infrastructure for
Paper Dynasty Real-Time Game Engine - a web-based multiplayer baseball
simulation platform replacing the legacy Google Sheets system.
Documentation Added:
- Complete PRD (Product Requirements Document)
- Project README with dual development workflows
- Implementation guide with 5-phase roadmap
- Architecture docs (backend, frontend, database, WebSocket)
- CLAUDE.md context files for each major directory
Infrastructure Added:
- Root docker-compose.yml for full stack orchestration
- Dockerfiles for backend and both frontends (multi-stage builds)
- .dockerignore files for optimal build context
- .env.example with all required configuration
- Updated .gitignore for Python, Node, Nuxt, and Docker
Project Structure:
- backend/ - FastAPI + Socket.io game engine (Python 3.11+)
- frontend-sba/ - SBA League Nuxt 3 frontend
- frontend-pd/ - PD League Nuxt 3 frontend
- .claude/implementation/ - Detailed implementation guides
Supports two development workflows:
1. Local dev (recommended): Services run natively with hot-reload
2. Full Docker: One-command stack orchestration for testing/demos
Next: Phase 1 implementation (backend/frontend foundations)
