Commit Graph

2 Commits

Author SHA1 Message Date
Cal Corum
1c32787195 CLAUDE: Refactor game models and modularize terminal client
This commit includes cleanup from model refactoring and terminal client
modularization for better code organization and maintainability.

## Game Models Refactor

**Removed RunnerState class:**
- Eliminated separate RunnerState model (was redundant)
- Replaced runners: List[RunnerState] with direct base references:
  - on_first: Optional[LineupPlayerState]
  - on_second: Optional[LineupPlayerState]
  - on_third: Optional[LineupPlayerState]
- Updated helper methods:
  - get_runner_at_base() now returns LineupPlayerState directly
  - get_all_runners() returns List[Tuple[int, LineupPlayerState]]
  - is_runner_on_X() simplified to direct None checks

**Benefits:**
- Matches database structure (plays table has on_first_id, etc.)
- Simpler state management (direct references vs list management)
- Better type safety (LineupPlayerState vs generic runner)
- Easier to work with in game engine logic

**Updated files:**
- app/models/game_models.py - Removed RunnerState, updated GameState
- app/core/play_resolver.py - Use get_all_runners() instead of state.runners
- app/core/validators.py - Updated runner access patterns
- tests/unit/models/test_game_models.py - Updated test assertions
- tests/unit/core/test_play_resolver.py - Updated test data
- tests/unit/core/test_validators.py - Updated test data

## Terminal Client Refactor

**Modularization (DRY principle):**
Created separate modules for better code organization:

1. **terminal_client/commands.py** (10,243 bytes)
   - Shared command functions for game operations
   - Used by both CLI (main.py) and REPL (repl.py)
   - Functions: submit_defensive_decision, submit_offensive_decision,
     resolve_play, quick_play_sequence
   - Single source of truth for command logic

2. **terminal_client/arg_parser.py** (7,280 bytes)
   - Centralized argument parsing and validation
   - Handles defensive/offensive decision arguments
   - Validates formats (alignment, depths, hold runners, steal attempts)

3. **terminal_client/completions.py** (10,357 bytes)
   - TAB completion support for REPL mode
   - Command completions, option completions, dynamic completions
   - Game ID completions, defensive/offensive option suggestions

4. **terminal_client/help_text.py** (10,839 bytes)
   - Centralized help text and command documentation
   - Detailed command descriptions
   - Usage examples for all commands

**Updated main modules:**
- terminal_client/main.py - Simplified by using shared commands module
- terminal_client/repl.py - Cleaner with shared functions and completions

**Benefits:**
- DRY: Behavior consistent between CLI and REPL modes
- Maintainability: Changes in one place affect both interfaces
- Testability: Can test commands module independently
- Organization: Clear separation of concerns

## Documentation

**New files:**
- app/models/visual_model_relationships.md
  - Visual documentation of model relationships
  - Helps understand data flow between models
- terminal_client/update_docs/ (6 phase documentation files)
  - Phased documentation for terminal client evolution
  - Historical context for implementation decisions

## Tests

**New test files:**
- tests/unit/terminal_client/__init__.py
- tests/unit/terminal_client/test_arg_parser.py
- tests/unit/terminal_client/test_commands.py
- tests/unit/terminal_client/test_completions.py
- tests/unit/terminal_client/test_help_text.py

**Updated tests:**
- Integration tests updated for new runner model
- Unit tests updated for model changes
- All tests passing with new structure

## Summary

-  Simplified game state model (removed RunnerState)
-  Better alignment with database structure
-  Modularized terminal client (DRY principle)
-  Shared command logic between CLI and REPL
-  Comprehensive test coverage
-  Improved documentation

Total changes: 26 files modified/created

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-28 14:16:38 -05:00
Cal Corum
0d7ddbe408 CLAUDE: Implement GameEngine, PlayResolver, and GameValidator
Core Components:
 GameValidator (validators.py)
   - Validates game state and decisions
   - Rule enforcement for baseball gameplay
   - Game-over and inning continuation logic

 PlayResolver (play_resolver.py)
   - Resolves play outcomes using AbRoll system
   - Simplified result charts for MVP
   - Handles wild pitch/passed ball checks
   - Runner advancement logic for all hit types
   - PlayOutcome enum with 12 outcome types

 GameEngine (game_engine.py)
   - Orchestrates complete game flow
   - Start game, submit decisions, resolve plays
   - Integrates DiceSystem with roll context
   - Batch saves rolls at end of each half-inning
   - Persists plays and game state to database
   - Manages inning advancement and game completion

Integration Features:
- Uses advanced AbRoll system (not simplified d20)
- Roll context tracking per inning
- Batch persistence at inning boundaries
- Full audit trail with roll history
- State synchronization between memory and database

Architecture:
  GameEngine → PlayResolver → DiceSystem
       ↓             ↓
  GameValidator  StateManager
       ↓             ↓
   Database      In-Memory Cache

Ready For:
 End-to-end at-bat testing
 WebSocket integration
 Result chart configuration
 Advanced decision logic (Phase 3)

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 10:00:21 -05:00