cal/strat-gameplay-webapp
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5 Commits

Author SHA1 Message Date
Cal Corum
529c5b1b99 CLAUDE: Implement uncapped hit interactive decision tree (Issue #6) 
Add full multi-step decision workflow for SINGLE_UNCAPPED and DOUBLE_UNCAPPED
outcomes, replacing the previous stub that fell through to basic single/double
advancement. The decision tree follows the same interactive pattern as X-Check
resolution with 5 phases: lead runner advance, defensive throw, trail runner
advance, throw target selection, and safe/out speed check.

- game_models.py: PendingUncappedHit model, 5 new decision phases
- game_engine.py: initiate_uncapped_hit(), 5 submit methods, 3 result builders
- handlers.py: 5 new WebSocket event handlers
- ai_opponent.py: 5 AI decision stubs (conservative defaults)
- play_resolver.py: Updated TODO comments for fallback paths
- 80 new backend tests (2481 total): workflow (49), handlers (23), truth tables (8)
- Fix GameplayPanel.spec.ts: add missing Pinia setup, fix component references

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-12 09:33:58 -06:00
Cal Corum
a4b99ee53e CLAUDE: Replace black and flake8 with ruff for formatting and linting 
Migrated to ruff for faster, modern code formatting and linting:

Configuration changes:
- pyproject.toml: Added ruff 0.8.6, removed black/flake8
- Configured ruff with black-compatible formatting (88 chars)
- Enabled comprehensive linting rules (pycodestyle, pyflakes, isort,
  pyupgrade, bugbear, comprehensions, simplify, return)
- Updated CLAUDE.md: Changed code quality commands to use ruff

Code improvements (490 auto-fixes):
- Modernized type hints: List[T] → list[T], Dict[K,V] → dict[K,V],
  Optional[T] → T | None
- Sorted all imports (isort integration)
- Removed unused imports
- Fixed whitespace issues
- Reformatted 38 files for consistency

Bug fixes:
- app/core/play_resolver.py: Fixed type hint bug (any → Any)
- tests/unit/core/test_runner_advancement.py: Removed obsolete random mock

Testing:
- All 739 unit tests passing (100%)
- No regressions introduced

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-20 15:33:21 -06:00
Cal Corum
63bffbc23d CLAUDE: Session 1 cleanup complete - Parts 4-6 
Completed remaining Session 1 work:

Part 4: Remove offensive approach field
- Removed `approach` field from OffensiveDecision model
- Removed approach validation and validator
- Updated 7 backend files (model, tests, handlers, AI, validators, display)

Part 5: Server-side depth validation
- Added walk-off validation for shallow outfield (home batting, 9th+, close game, runners)
- Updated outfield depths from ["in", "normal"] to ["normal", "shallow"]
- Infield validation already complete (corners_in/infield_in require R3)
- Added comprehensive test coverage

Part 6: Client-side smart filtering
- Updated DefensiveSetup.vue with dynamic option filtering
- Infield options: only show infield_in/corners_in when R3 present
- Outfield options: only show shallow in walk-off scenarios
- Hybrid validation (server authority + client UX)

Total Session 1: 25 files modified across 6 parts
- Removed unused config fields
- Fixed hit location requirements
- Removed alignment/approach fields
- Added complete depth validation

All backend tests passing (730/731 - 1 pre-existing failure)

Next: Session 2 - Offensive decision workflow refactor (Changes #10-11)

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-14 13:54:34 -06:00
Cal Corum
197d91edfb CLAUDE: Remove defensive alignment field completely 
Removed the unused alignment field from DefensiveDecision model and all
related code across backend and frontend.

Backend changes:
- models/game_models.py: Removed alignment field and validator
- terminal_client/display.py: Removed alignment from display
- core/ai_opponent.py: Updated log message
- tests/unit/models/test_game_models.py: Removed alignment tests
- tests/unit/core/test_validators.py: Removed alignment validation test

Frontend changes:
- types/game.ts: Removed alignment from DefensiveDecision interface
- components/Decisions/DefensiveSetup.vue:
  * Removed alignment section from template
  * Removed alignment from localSetup initialization
  * Removed alignmentOptions array
  * Removed alignmentDisplay computed property
  * Removed alignment from hasChanges comparison
  * Removed alignment from visual preview (reorganized to col-span-2)

Rationale: Defensive alignment is not active in the game and will not be
used. Per Cal's decision, remove completely rather than keep as dead code.

Tests: All 728 backend unit tests passing (100%)

Session 1 Part 3 - Change #6 complete
Part of cleanup work from demo review

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-14 13:02:22 -06:00
Cal Corum
95d8703f56 CLAUDE: Implement Week 7 Task 1 - Strategic Decision Integration 
Enhanced game engine with async decision workflow and AI opponent integration:

GameState Model Enhancements:
- Added pending_defensive_decision and pending_offensive_decision fields
- Added decision_phase tracking (idle, awaiting_defensive, awaiting_offensive, resolving, completed)
- Added decision_deadline field for timeout handling
- Added is_batting_team_ai() and is_fielding_team_ai() helper methods
- Added validator for decision_phase

StateManager Enhancements:
- Added _pending_decisions dict for asyncio.Future-based decision queue
- Added set_pending_decision() to create decision futures
- Added await_decision() to wait for decision submission
- Added submit_decision() to resolve pending futures
- Added cancel_pending_decision() for cleanup

GameEngine Enhancements:
- Added await_defensive_decision() with AI/human branching and timeout
- Added await_offensive_decision() with AI/human branching and timeout
- Enhanced submit_defensive_decision() to resolve pending futures
- Enhanced submit_offensive_decision() to resolve pending futures
- Added DECISION_TIMEOUT constant (30 seconds)

AI Opponent (Stub):
- Created ai_opponent.py with stub implementations
- generate_defensive_decision() returns default "normal" positioning
- generate_offensive_decision() returns default "normal" approach
- TODO markers for Week 9 full AI logic implementation

Integration:
- Backward compatible with existing terminal client workflow
- New async methods ready for WebSocket integration (Week 7 Task 4)
- AI teams get instant decisions, human teams wait with timeout
- Default decisions applied on timeout (no game blocking)

Testing:
- Config tests: 58/58 passing ✅
- Terminal client: Working perfectly ✅
- Existing workflows: Fully compatible ✅

Week 7 Task 1: Complete
Next: Task 2 - Decision Validators

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Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-29 21:38:11 -05:00