CLAUDE: Implement Week 7 Task 6 - PlayResolver Integration with RunnerAdvancement
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 is contained in:
Cal Corum
parent
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commit
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@ -47,6 +47,20 @@ class BaseGameConfig(BaseModel, ABC):
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"""
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pass
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@abstractmethod
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def supports_auto_mode(self) -> bool:
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"""
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Whether this league supports auto-resolution of outcomes.
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Auto mode uses digitized player ratings to automatically generate
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outcomes without human input. This is only available for leagues
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with fully digitized card data.
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Returns:
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True if auto mode is supported, False otherwise
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"""
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pass
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@abstractmethod
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def get_api_base_url(self) -> str:
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"""
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@ -37,6 +37,10 @@ class SbaConfig(BaseGameConfig):
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"""SBA players manually pick results from chart."""
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return True
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def supports_auto_mode(self) -> bool:
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"""SBA does not support auto mode - cards are not digitized."""
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return False
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def get_api_base_url(self) -> str:
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"""SBA API base URL."""
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return "https://api.sba.manticorum.com"
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@ -72,6 +76,10 @@ class PdConfig(BaseGameConfig):
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"""PD supports manual selection (though auto is also available)."""
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return True
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def supports_auto_mode(self) -> bool:
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"""PD supports auto mode via digitized scouting data."""
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return True
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def get_api_base_url(self) -> str:
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"""PD API base URL."""
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return "https://pd.manticorum.com"
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@ -16,7 +16,7 @@ from typing import Optional, List
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import pendulum
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from app.core.state_manager import state_manager
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from app.core.play_resolver import play_resolver, PlayResult
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from app.core.play_resolver import PlayResolver, PlayResult
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from app.config import PlayOutcome
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from app.core.validators import game_validator, ValidationError
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from app.core.dice import dice_system
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@ -353,8 +353,28 @@ class GameEngine:
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defensive_decision = DefensiveDecision(**state.decisions_this_play.get('defensive', {}))
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offensive_decision = OffensiveDecision(**state.decisions_this_play.get('offensive', {}))
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# STEP 1: Resolve play (this internally calls dice_system.roll_ab)
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result = play_resolver.resolve_play(state, defensive_decision, offensive_decision, forced_outcome)
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# STEP 1: Resolve play
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# Create resolver for this game's league and mode
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resolver = PlayResolver(league_id=state.league_id, auto_mode=state.auto_mode)
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# Roll dice
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ab_roll = dice_system.roll_ab(league_id=state.league_id, game_id=game_id)
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# Use forced outcome if provided (for testing), otherwise need to implement chart lookup
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if forced_outcome is None:
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raise NotImplementedError(
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"This method only supports forced_outcome for testing. "
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"Use resolve_manual_play() for manual mode or resolve_auto_play() for auto mode."
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)
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result = resolver.resolve_outcome(
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outcome=forced_outcome,
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hit_location=None, # Testing doesn't specify location
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state=state,
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defensive_decision=defensive_decision,
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offensive_decision=offensive_decision,
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ab_roll=ab_roll
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)
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# Track roll for batch saving at end of inning
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if game_id not in self._rolls_this_inning:
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@ -478,26 +498,17 @@ class GameEngine:
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offensive_decision = OffensiveDecision(**state.decisions_this_play.get('offensive', {}))
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# STEP 1: Resolve play with manual outcome
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# ab_roll used for audit trail, outcome used for resolution
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result = play_resolver.resolve_play(
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state,
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defensive_decision,
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offensive_decision,
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forced_outcome=outcome
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)
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# Create resolver for this game's league and mode
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resolver = PlayResolver(league_id=state.league_id, auto_mode=state.auto_mode)
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# Override the ab_roll in result with the actual server roll (for audit trail)
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result = PlayResult(
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outcome=result.outcome,
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outs_recorded=result.outs_recorded,
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runs_scored=result.runs_scored,
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batter_result=result.batter_result,
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runners_advanced=result.runners_advanced,
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description=result.description,
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ab_roll=ab_roll, # Use actual server roll for audit
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is_hit=result.is_hit,
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is_out=result.is_out,
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is_walk=result.is_walk
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# Call core resolution with manual outcome
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result = resolver.resolve_outcome(
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outcome=outcome,
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hit_location=hit_location,
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state=state,
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defensive_decision=defensive_decision,
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offensive_decision=offensive_decision,
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ab_roll=ab_roll
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)
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# Track roll for batch saving at end of inning (same as auto mode)
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@ -1,22 +1,29 @@
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"""
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Play Resolver - Resolves play outcomes based on dice rolls.
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Uses our advanced dice system with AbRoll for at-bat resolution.
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Simplified result charts for Phase 2 MVP.
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Architecture: Outcome-first design where manual resolution is primary.
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- resolve_outcome(): Core resolution logic (works for both manual and auto)
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- resolve_manual_play(): Wrapper for manual submissions (most games)
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- resolve_auto_play(): Wrapper for PD auto mode (rare)
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Author: Claude
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Date: 2025-10-24
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Updated: 2025-10-29 - Integrated universal PlayOutcome enum
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Updated: 2025-10-31 - Week 7 Task 6: Integrated RunnerAdvancement and outcome-first architecture
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"""
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import logging
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from dataclasses import dataclass
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from typing import Optional, List
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from typing import Optional, List, TYPE_CHECKING
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import pendulum
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from app.core.dice import dice_system
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from app.core.roll_types import AbRoll, RollType
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from app.models.game_models import GameState, DefensiveDecision, OffensiveDecision
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from app.config import PlayOutcome
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from app.core.runner_advancement import RunnerAdvancement
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from app.models.game_models import GameState, DefensiveDecision, OffensiveDecision, ManualOutcomeSubmission
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from app.config import PlayOutcome, get_league_config
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from app.config.result_charts import calculate_hit_location, PdAutoResultChart, ManualResultChart
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if TYPE_CHECKING:
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from app.models.player_models import PdPlayer
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logger = logging.getLogger(f'{__name__}.PlayResolver')
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@ -31,6 +38,7 @@ class PlayResult:
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runners_advanced: List[tuple[int, int]] # [(from_base, to_base), ...]
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description: str
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ab_roll: AbRoll # Full at-bat roll for audit trail
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hit_location: Optional[str] = None # '1B', '2B', '3B', 'SS', 'LF', 'CF', 'RF', 'P', 'C'
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# Statistics
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is_hit: bool = False
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@ -38,166 +46,169 @@ class PlayResult:
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is_walk: bool = False
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class SimplifiedResultChart:
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"""
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Simplified SBA result chart for Phase 2
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Real implementation will load from config files and consider:
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- Batter card stats
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- Pitcher card stats
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- Defensive alignment
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- Offensive approach
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This provides basic outcomes for MVP testing.
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"""
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@staticmethod
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def get_outcome(ab_roll: AbRoll) -> PlayOutcome:
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"""
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Map AbRoll to outcome (simplified)
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Uses the chaos_d20 value for outcome determination.
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Checks for wild pitch/passed ball first.
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"""
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# Check for wild pitch/passed ball
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if ab_roll.check_wild_pitch:
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# chaos_d20 == 1, use resolution_d20 to confirm
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if ab_roll.resolution_d20 <= 10: # 50% chance it actually happens
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return PlayOutcome.WILD_PITCH
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# Otherwise treat as ball/foul
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return PlayOutcome.STRIKEOUT # Simplified
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if ab_roll.check_passed_ball:
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# chaos_d20 == 2, use resolution_d20 to confirm
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if ab_roll.resolution_d20 <= 10: # 50% chance
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return PlayOutcome.PASSED_BALL
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# Otherwise treat as ball/foul
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return PlayOutcome.STRIKEOUT # Simplified
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# Normal at-bat resolution using chaos_d20
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roll = ab_roll.chaos_d20
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# Strikeouts
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if roll <= 5:
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return PlayOutcome.STRIKEOUT
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# Groundballs - distribute across 3 variants
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elif roll == 6:
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return PlayOutcome.GROUNDBALL_A # DP opportunity
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elif roll == 7:
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return PlayOutcome.GROUNDBALL_B
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elif roll == 8:
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return PlayOutcome.GROUNDBALL_C
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# Flyouts - distribute across 3 variants
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elif roll == 9:
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return PlayOutcome.FLYOUT_A
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elif roll == 10:
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return PlayOutcome.FLYOUT_B
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elif roll == 11:
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return PlayOutcome.FLYOUT_C
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# Walks
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elif roll in [12, 13]:
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return PlayOutcome.WALK
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# Singles - distribute between variants
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elif roll == 14:
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return PlayOutcome.SINGLE_1
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elif roll == 15:
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return PlayOutcome.SINGLE_2
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# Doubles
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elif roll == 16:
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return PlayOutcome.DOUBLE_2
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elif roll == 17:
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return PlayOutcome.DOUBLE_3
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# Lineout
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elif roll == 18:
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return PlayOutcome.LINEOUT
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# Triple
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elif roll == 19:
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return PlayOutcome.TRIPLE
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# Home run
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else: # 20
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return PlayOutcome.HOMERUN
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class PlayResolver:
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"""Resolves play outcomes based on dice rolls and game state"""
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"""
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Resolves play outcomes based on dice rolls and game state.
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def __init__(self):
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self.result_chart = SimplifiedResultChart()
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Architecture: Outcome-first design
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- Manual mode (primary): Players submit outcomes after reading physical cards
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- Auto mode (rare): System generates outcomes from digitized ratings (PD only)
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def resolve_play(
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Args:
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league_id: 'sba' or 'pd'
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auto_mode: If True, use result charts to auto-generate outcomes
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Only supported for leagues with digitized card data
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Raises:
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ValueError: If auto_mode requested for league that doesn't support it
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"""
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def __init__(self, league_id: str, auto_mode: bool = False):
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self.league_id = league_id
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self.auto_mode = auto_mode
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self.runner_advancement = RunnerAdvancement()
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# Get league config for validation
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league_config = get_league_config(league_id)
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# Validate auto mode support
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if auto_mode and not league_config.supports_auto_mode():
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raise ValueError(
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f"Auto mode not supported for {league_id} league. "
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f"This league does not have digitized card data."
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)
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# Initialize result chart for auto mode only
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if auto_mode:
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self.result_chart = PdAutoResultChart()
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logger.info(f"PlayResolver initialized in AUTO mode for {league_id}")
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else:
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self.result_chart = None
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logger.info(f"PlayResolver initialized in MANUAL mode for {league_id}")
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# ========================================
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# PUBLIC METHODS - Primary API
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# ========================================
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def resolve_manual_play(
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self,
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submission: ManualOutcomeSubmission,
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state: GameState,
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defensive_decision: DefensiveDecision,
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offensive_decision: OffensiveDecision,
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forced_outcome: Optional[PlayOutcome] = None
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ab_roll: AbRoll
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) -> PlayResult:
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"""
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Resolve a complete play
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Resolve a manually submitted play (SBA + PD manual mode).
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This is the PRIMARY method for most games. Players read physical cards
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and submit the outcome they see via WebSocket.
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Args:
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submission: Player's submitted outcome + optional hit location
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state: Current game state
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defensive_decision: Defensive team's choices
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offensive_decision: Offensive team's choices
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forced_outcome: If provided, use this outcome instead of rolling dice (for testing)
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ab_roll: Server-rolled dice for audit trail
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Returns:
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PlayResult with complete outcome
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"""
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logger.info(f"Resolving play - Inning {state.inning} {state.half}, {state.outs} outs")
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logger.info(f"Resolving manual play - {submission.outcome} at {submission.hit_location}")
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if forced_outcome:
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# Use forced outcome for testing (no dice roll)
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logger.info(f"Using forced outcome: {forced_outcome.value}")
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outcome = forced_outcome
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# Create a dummy AbRoll for the forced outcome
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ab_roll = AbRoll(
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roll_id=f"forced_{state.game_id}_{state.play_count}",
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roll_type=RollType.AB,
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league_id=state.league_id,
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timestamp=pendulum.now('UTC'),
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game_id=state.game_id,
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d6_one=1, # Dummy values - not used for forced outcomes
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d6_two_a=3,
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d6_two_b=4,
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chaos_d20=10,
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resolution_d20=10
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# Convert string to PlayOutcome enum
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outcome = PlayOutcome(submission.outcome)
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# Delegate to core resolution
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return self.resolve_outcome(
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outcome=outcome,
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hit_location=submission.hit_location,
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state=state,
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defensive_decision=defensive_decision,
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offensive_decision=offensive_decision,
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ab_roll=ab_roll
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)
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else:
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# Roll dice using our advanced AbRoll system
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ab_roll = dice_system.roll_ab(
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league_id=state.league_id,
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game_id=state.game_id
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def resolve_auto_play(
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self,
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state: GameState,
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batter: 'PdPlayer',
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pitcher: 'PdPlayer',
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defensive_decision: DefensiveDecision,
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offensive_decision: OffensiveDecision
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) -> PlayResult:
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"""
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Resolve an auto-generated play (PD auto mode only).
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This is RARE - only used for PD games with auto mode enabled.
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System generates outcome from digitized player ratings.
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Args:
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state: Current game state
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batter: Batting player (PdPlayer with ratings)
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pitcher: Pitching player (PdPlayer with ratings)
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defensive_decision: Defensive team's choices
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offensive_decision: Offensive team's choices
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Returns:
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PlayResult with complete outcome
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Raises:
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ValueError: If called when not in auto mode
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"""
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if not self.auto_mode:
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raise ValueError("resolve_auto_play() can only be called in auto mode")
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logger.info(f"Resolving auto play - {batter.name} vs {pitcher.name}")
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# Roll dice
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ab_roll = dice_system.roll_ab(league_id=state.league_id, game_id=state.game_id)
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# Generate outcome from ratings
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outcome, hit_location = self.result_chart.get_outcome(
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roll=ab_roll,
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state=state,
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batter=batter,
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pitcher=pitcher
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)
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logger.info(f"AB Roll: {ab_roll}")
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# Get base outcome from chart
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outcome = self.result_chart.get_outcome(ab_roll)
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logger.info(f"Base outcome: {outcome}")
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# Delegate to core resolution
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return self.resolve_outcome(
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outcome=outcome,
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hit_location=hit_location,
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state=state,
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defensive_decision=defensive_decision,
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offensive_decision=offensive_decision,
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ab_roll=ab_roll
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)
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# Apply decisions (simplified for Phase 2)
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# TODO: Implement full decision logic in Phase 3
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# Resolve outcome details
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result = self._resolve_outcome(outcome, state, ab_roll)
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logger.info(f"Play result: {result.description}")
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return result
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def _resolve_outcome(
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def resolve_outcome(
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self,
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outcome: PlayOutcome,
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hit_location: Optional[str],
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state: GameState,
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defensive_decision: DefensiveDecision,
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offensive_decision: OffensiveDecision,
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ab_roll: AbRoll
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) -> PlayResult:
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"""Resolve specific outcome type"""
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"""
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CORE resolution method - all play resolution logic lives here.
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This method handles all outcome types and delegates to RunnerAdvancement
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for groundball outcomes. Works for both manual and auto modes.
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Args:
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outcome: The play outcome (from card or auto-generated)
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hit_location: Where ball was hit ('1B', '2B', '3B', 'SS', 'LF', 'CF', 'RF', 'P', 'C') or None
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state: Current game state
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defensive_decision: Defensive team's positioning/strategy
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offensive_decision: Offensive team's strategy
|
||||
ab_roll: Dice roll for audit trail
|
||||
|
||||
Returns:
|
||||
PlayResult with complete outcome, runner movements, and statistics
|
||||
"""
|
||||
logger.info(f"Resolving {outcome.value} - Inning {state.inning} {state.half}, {state.outs} outs")
|
||||
|
||||
# ==================== Strikeout ====================
|
||||
if outcome == PlayOutcome.STRIKEOUT:
|
||||
@ -209,46 +220,44 @@ class PlayResolver:
|
||||
runners_advanced=[],
|
||||
description="Strikeout looking",
|
||||
ab_roll=ab_roll,
|
||||
hit_location=None,
|
||||
is_out=True
|
||||
)
|
||||
|
||||
# ==================== Groundballs ====================
|
||||
elif outcome == PlayOutcome.GROUNDBALL_A:
|
||||
# TODO Phase 3: Check for double play opportunity
|
||||
# For now, treat as groundout
|
||||
return PlayResult(
|
||||
elif outcome in [PlayOutcome.GROUNDBALL_A, PlayOutcome.GROUNDBALL_B, PlayOutcome.GROUNDBALL_C]:
|
||||
# Delegate to RunnerAdvancement for all groundball outcomes
|
||||
advancement_result = self.runner_advancement.advance_runners(
|
||||
outcome=outcome,
|
||||
outs_recorded=1,
|
||||
runs_scored=0,
|
||||
batter_result=None,
|
||||
runners_advanced=[],
|
||||
description="Groundball to shortstop (DP opportunity)",
|
||||
ab_roll=ab_roll,
|
||||
is_out=True
|
||||
hit_location=hit_location or 'SS', # Default to SS if location not specified
|
||||
state=state,
|
||||
defensive_decision=defensive_decision
|
||||
)
|
||||
|
||||
elif outcome == PlayOutcome.GROUNDBALL_B:
|
||||
return PlayResult(
|
||||
outcome=outcome,
|
||||
outs_recorded=1,
|
||||
runs_scored=0,
|
||||
batter_result=None,
|
||||
runners_advanced=[],
|
||||
description="Groundball to second base",
|
||||
ab_roll=ab_roll,
|
||||
is_out=True
|
||||
)
|
||||
# Convert RunnerMovement list to tuple format for PlayResult
|
||||
runners_advanced = [
|
||||
(movement.from_base, movement.to_base)
|
||||
for movement in advancement_result.movements
|
||||
if not movement.is_out and movement.from_base > 0 # Exclude batter, include only runners
|
||||
]
|
||||
|
||||
# Extract batter result from movements
|
||||
batter_movement = next(
|
||||
(m for m in advancement_result.movements if m.from_base == 0),
|
||||
None
|
||||
)
|
||||
batter_result = batter_movement.to_base if batter_movement and not batter_movement.is_out else None
|
||||
|
||||
elif outcome == PlayOutcome.GROUNDBALL_C:
|
||||
return PlayResult(
|
||||
outcome=outcome,
|
||||
outs_recorded=1,
|
||||
runs_scored=0,
|
||||
batter_result=None,
|
||||
runners_advanced=[],
|
||||
description="Groundball to third base",
|
||||
outs_recorded=advancement_result.outs_recorded,
|
||||
runs_scored=advancement_result.runs_scored,
|
||||
batter_result=batter_result,
|
||||
runners_advanced=runners_advanced,
|
||||
description=advancement_result.description,
|
||||
ab_roll=ab_roll,
|
||||
is_out=True
|
||||
hit_location=hit_location,
|
||||
is_out=(advancement_result.outs_recorded > 0)
|
||||
)
|
||||
|
||||
# ==================== Flyouts ====================
|
||||
@ -524,7 +533,3 @@ class PlayResolver:
|
||||
advances.append((base, 4))
|
||||
|
||||
return advances
|
||||
|
||||
|
||||
# Singleton instance
|
||||
play_resolver = PlayResolver()
|
||||
|
||||
@ -56,7 +56,8 @@ class StateManager:
|
||||
home_team_id: int,
|
||||
away_team_id: int,
|
||||
home_team_is_ai: bool = False,
|
||||
away_team_is_ai: bool = False
|
||||
away_team_is_ai: bool = False,
|
||||
auto_mode: bool = False
|
||||
) -> GameState:
|
||||
"""
|
||||
Create a new game state in memory.
|
||||
@ -68,6 +69,7 @@ class StateManager:
|
||||
away_team_id: Away team ID
|
||||
home_team_is_ai: Whether home team is AI-controlled
|
||||
away_team_is_ai: Whether away team is AI-controlled
|
||||
auto_mode: True = auto-generate outcomes (PD only), False = manual submissions
|
||||
|
||||
Returns:
|
||||
Newly created GameState
|
||||
@ -78,7 +80,7 @@ class StateManager:
|
||||
if game_id in self._states:
|
||||
raise ValueError(f"Game {game_id} already exists in state manager")
|
||||
|
||||
logger.info(f"Creating game state for {game_id} ({league_id} league)")
|
||||
logger.info(f"Creating game state for {game_id} ({league_id} league, auto_mode={auto_mode})")
|
||||
|
||||
state = GameState(
|
||||
game_id=game_id,
|
||||
@ -86,7 +88,8 @@ class StateManager:
|
||||
home_team_id=home_team_id,
|
||||
away_team_id=away_team_id,
|
||||
home_team_is_ai=home_team_is_ai,
|
||||
away_team_is_ai=away_team_is_ai
|
||||
away_team_is_ai=away_team_is_ai,
|
||||
auto_mode=auto_mode
|
||||
)
|
||||
|
||||
self._states[game_id] = state
|
||||
|
||||
@ -285,6 +285,9 @@ class GameState(BaseModel):
|
||||
home_team_is_ai: bool = False
|
||||
away_team_is_ai: bool = False
|
||||
|
||||
# Resolution mode
|
||||
auto_mode: bool = False # True = auto-generate outcomes (PD only), False = manual submissions
|
||||
|
||||
# Game state
|
||||
status: str = "pending" # pending, active, paused, completed
|
||||
inning: int = Field(default=1, ge=1)
|
||||
|
||||
@ -1,177 +1,87 @@
|
||||
"""
|
||||
Unit Tests for Play Resolver
|
||||
|
||||
Tests play outcome resolution, runner advancement, and result chart logic.
|
||||
Tests play outcome resolution with new outcome-first architecture.
|
||||
"""
|
||||
import pytest
|
||||
from uuid import uuid4
|
||||
from unittest.mock import Mock, patch
|
||||
import pendulum
|
||||
|
||||
from app.core.play_resolver import (
|
||||
PlayResolver,
|
||||
PlayOutcome,
|
||||
PlayResult,
|
||||
SimplifiedResultChart
|
||||
)
|
||||
from app.core.play_resolver import PlayResolver, PlayResult
|
||||
from app.config import PlayOutcome
|
||||
from app.core.roll_types import AbRoll, RollType
|
||||
from app.models.game_models import GameState, LineupPlayerState, DefensiveDecision, OffensiveDecision
|
||||
from app.models.game_models import GameState, LineupPlayerState, DefensiveDecision, OffensiveDecision, ManualOutcomeSubmission
|
||||
|
||||
|
||||
# Helper to create mock AbRoll
|
||||
def create_mock_ab_roll(chaos_d20: int, resolution_d20: int = 10) -> AbRoll:
|
||||
def create_mock_ab_roll(game_id=None) -> AbRoll:
|
||||
"""Create a mock AbRoll for testing"""
|
||||
return AbRoll(
|
||||
roll_type=RollType.AB,
|
||||
roll_id="test_roll_id",
|
||||
timestamp=pendulum.now('UTC'),
|
||||
league_id="sba",
|
||||
game_id=None,
|
||||
game_id=game_id,
|
||||
d6_one=3,
|
||||
d6_two_a=2,
|
||||
d6_two_b=4,
|
||||
chaos_d20=chaos_d20,
|
||||
resolution_d20=resolution_d20
|
||||
chaos_d20=10,
|
||||
resolution_d20=10
|
||||
)
|
||||
|
||||
|
||||
class TestSimplifiedResultChart:
|
||||
"""Test result chart outcome mapping"""
|
||||
class TestPlayResolverInit:
|
||||
"""Test PlayResolver initialization and configuration"""
|
||||
|
||||
def test_strikeout_range(self):
|
||||
"""Test strikeout outcomes (rolls 1-5)"""
|
||||
chart = SimplifiedResultChart()
|
||||
def test_init_sba_manual(self):
|
||||
"""Test creating SBA resolver in manual mode"""
|
||||
resolver = PlayResolver(league_id="sba", auto_mode=False)
|
||||
assert resolver.league_id == "sba"
|
||||
assert resolver.auto_mode is False
|
||||
assert resolver.result_chart is None # Manual mode doesn't use chart
|
||||
|
||||
# Test each roll in strikeout range (when not wild pitch/passed ball)
|
||||
for roll in [3, 4, 5]:
|
||||
ab_roll = create_mock_ab_roll(roll)
|
||||
outcome = chart.get_outcome(ab_roll)
|
||||
assert outcome == PlayOutcome.STRIKEOUT
|
||||
def test_init_pd_manual(self):
|
||||
"""Test creating PD resolver in manual mode"""
|
||||
resolver = PlayResolver(league_id="pd", auto_mode=False)
|
||||
assert resolver.league_id == "pd"
|
||||
assert resolver.auto_mode is False
|
||||
assert resolver.result_chart is None
|
||||
|
||||
def test_groundball_range(self):
|
||||
"""Test groundball outcomes (rolls 6-8)"""
|
||||
chart = SimplifiedResultChart()
|
||||
def test_init_pd_auto(self):
|
||||
"""Test creating PD resolver in auto mode"""
|
||||
resolver = PlayResolver(league_id="pd", auto_mode=True)
|
||||
assert resolver.league_id == "pd"
|
||||
assert resolver.auto_mode is True
|
||||
assert resolver.result_chart is not None # Auto mode uses chart
|
||||
|
||||
# Test each groundball variant
|
||||
ab_roll = create_mock_ab_roll(6)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.GROUNDBALL_A
|
||||
|
||||
ab_roll = create_mock_ab_roll(7)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.GROUNDBALL_B
|
||||
|
||||
ab_roll = create_mock_ab_roll(8)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.GROUNDBALL_C
|
||||
|
||||
def test_flyout_range(self):
|
||||
"""Test flyout outcomes (rolls 9-11)"""
|
||||
chart = SimplifiedResultChart()
|
||||
|
||||
# Test each flyout variant
|
||||
ab_roll = create_mock_ab_roll(9)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.FLYOUT_A
|
||||
|
||||
ab_roll = create_mock_ab_roll(10)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.FLYOUT_B
|
||||
|
||||
ab_roll = create_mock_ab_roll(11)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.FLYOUT_C
|
||||
|
||||
def test_walk_range(self):
|
||||
"""Test walk outcomes (rolls 12-13)"""
|
||||
chart = SimplifiedResultChart()
|
||||
|
||||
for roll in [12, 13]:
|
||||
ab_roll = create_mock_ab_roll(roll)
|
||||
outcome = chart.get_outcome(ab_roll)
|
||||
assert outcome == PlayOutcome.WALK
|
||||
|
||||
def test_single_range(self):
|
||||
"""Test single outcomes (rolls 14-15)"""
|
||||
chart = SimplifiedResultChart()
|
||||
|
||||
ab_roll = create_mock_ab_roll(14)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.SINGLE_1
|
||||
|
||||
ab_roll = create_mock_ab_roll(15)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.SINGLE_2
|
||||
|
||||
def test_double_range(self):
|
||||
"""Test double outcomes (rolls 16-17)"""
|
||||
chart = SimplifiedResultChart()
|
||||
|
||||
ab_roll = create_mock_ab_roll(16)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.DOUBLE_2
|
||||
|
||||
ab_roll = create_mock_ab_roll(17)
|
||||
assert chart.get_outcome(ab_roll) == PlayOutcome.DOUBLE_3
|
||||
|
||||
def test_lineout_outcome(self):
|
||||
"""Test lineout outcome (roll 18)"""
|
||||
chart = SimplifiedResultChart()
|
||||
ab_roll = create_mock_ab_roll(18)
|
||||
outcome = chart.get_outcome(ab_roll)
|
||||
assert outcome == PlayOutcome.LINEOUT
|
||||
|
||||
def test_triple_outcome(self):
|
||||
"""Test triple outcome (roll 19)"""
|
||||
chart = SimplifiedResultChart()
|
||||
ab_roll = create_mock_ab_roll(19)
|
||||
outcome = chart.get_outcome(ab_roll)
|
||||
assert outcome == PlayOutcome.TRIPLE
|
||||
|
||||
def test_homerun_outcome(self):
|
||||
"""Test homerun outcome (roll 20)"""
|
||||
chart = SimplifiedResultChart()
|
||||
ab_roll = create_mock_ab_roll(20)
|
||||
outcome = chart.get_outcome(ab_roll)
|
||||
assert outcome == PlayOutcome.HOMERUN
|
||||
|
||||
def test_wild_pitch_confirmed(self):
|
||||
"""Test wild pitch (chaos_d20=1, resolution confirms)"""
|
||||
chart = SimplifiedResultChart()
|
||||
# Resolution roll <= 10 confirms wild pitch
|
||||
ab_roll = create_mock_ab_roll(chaos_d20=1, resolution_d20=5)
|
||||
outcome = chart.get_outcome(ab_roll)
|
||||
assert outcome == PlayOutcome.WILD_PITCH
|
||||
|
||||
def test_wild_pitch_not_confirmed(self):
|
||||
"""Test wild pitch check not confirmed (becomes strikeout)"""
|
||||
chart = SimplifiedResultChart()
|
||||
# Resolution roll > 10 doesn't confirm
|
||||
ab_roll = create_mock_ab_roll(chaos_d20=1, resolution_d20=15)
|
||||
outcome = chart.get_outcome(ab_roll)
|
||||
assert outcome == PlayOutcome.STRIKEOUT
|
||||
|
||||
def test_passed_ball_confirmed(self):
|
||||
"""Test passed ball (chaos_d20=2, resolution confirms)"""
|
||||
chart = SimplifiedResultChart()
|
||||
ab_roll = create_mock_ab_roll(chaos_d20=2, resolution_d20=8)
|
||||
outcome = chart.get_outcome(ab_roll)
|
||||
assert outcome == PlayOutcome.PASSED_BALL
|
||||
|
||||
def test_passed_ball_not_confirmed(self):
|
||||
"""Test passed ball check not confirmed (becomes strikeout)"""
|
||||
chart = SimplifiedResultChart()
|
||||
ab_roll = create_mock_ab_roll(chaos_d20=2, resolution_d20=12)
|
||||
outcome = chart.get_outcome(ab_roll)
|
||||
assert outcome == PlayOutcome.STRIKEOUT
|
||||
def test_init_sba_auto_raises(self):
|
||||
"""Test that SBA with auto mode raises error"""
|
||||
with pytest.raises(ValueError, match="Auto mode not supported for sba"):
|
||||
PlayResolver(league_id="sba", auto_mode=True)
|
||||
|
||||
|
||||
class TestPlayResultResolution:
|
||||
"""Test outcome resolution logic"""
|
||||
class TestResolveOutcome:
|
||||
"""Test core resolve_outcome method"""
|
||||
|
||||
def test_strikeout_result(self):
|
||||
def test_strikeout(self):
|
||||
"""Test strikeout resolution"""
|
||||
resolver = PlayResolver()
|
||||
resolver = PlayResolver(league_id="sba", auto_mode=False)
|
||||
state = GameState(
|
||||
game_id=uuid4(),
|
||||
league_id="sba",
|
||||
home_team_id=1,
|
||||
away_team_id=2
|
||||
)
|
||||
ab_roll = create_mock_ab_roll(5)
|
||||
ab_roll = create_mock_ab_roll(state.game_id)
|
||||
|
||||
result = resolver._resolve_outcome(PlayOutcome.STRIKEOUT, state, ab_roll)
|
||||
result = resolver.resolve_outcome(
|
||||
outcome=PlayOutcome.STRIKEOUT,
|
||||
hit_location=None,
|
||||
state=state,
|
||||
defensive_decision=DefensiveDecision(),
|
||||
offensive_decision=OffensiveDecision(),
|
||||
ab_roll=ab_roll
|
||||
)
|
||||
|
||||
assert result.outcome == PlayOutcome.STRIKEOUT
|
||||
assert result.outs_recorded == 1
|
||||
@ -180,10 +90,38 @@ class TestPlayResultResolution:
|
||||
assert result.runners_advanced == []
|
||||
assert result.is_out is True
|
||||
assert result.is_hit is False
|
||||
assert result.hit_location is None
|
||||
|
||||
def test_walk(self):
|
||||
"""Test walk resolution"""
|
||||
resolver = PlayResolver(league_id="sba", auto_mode=False)
|
||||
state = GameState(
|
||||
game_id=uuid4(),
|
||||
league_id="sba",
|
||||
home_team_id=1,
|
||||
away_team_id=2
|
||||
)
|
||||
ab_roll = create_mock_ab_roll(state.game_id)
|
||||
|
||||
result = resolver.resolve_outcome(
|
||||
outcome=PlayOutcome.WALK,
|
||||
hit_location=None,
|
||||
state=state,
|
||||
defensive_decision=DefensiveDecision(),
|
||||
offensive_decision=OffensiveDecision(),
|
||||
ab_roll=ab_roll
|
||||
)
|
||||
|
||||
assert result.outcome == PlayOutcome.WALK
|
||||
assert result.outs_recorded == 0
|
||||
assert result.runs_scored == 0
|
||||
assert result.batter_result == 1
|
||||
assert result.is_walk is True
|
||||
assert result.hit_location is None
|
||||
|
||||
def test_walk_bases_loaded(self):
|
||||
"""Test walk with bases loaded (forces run home)"""
|
||||
resolver = PlayResolver()
|
||||
"""Test walk with bases loaded forces run home"""
|
||||
resolver = PlayResolver(league_id="sba", auto_mode=False)
|
||||
state = GameState(
|
||||
game_id=uuid4(),
|
||||
league_id="sba",
|
||||
@ -193,37 +131,50 @@ class TestPlayResultResolution:
|
||||
on_second=LineupPlayerState(lineup_id=2, card_id=102, position="RF", batting_order=2),
|
||||
on_third=LineupPlayerState(lineup_id=3, card_id=103, position="SS", batting_order=3)
|
||||
)
|
||||
ab_roll = create_mock_ab_roll(15)
|
||||
ab_roll = create_mock_ab_roll(state.game_id)
|
||||
|
||||
result = resolver._resolve_outcome(PlayOutcome.WALK, state, ab_roll)
|
||||
result = resolver.resolve_outcome(
|
||||
outcome=PlayOutcome.WALK,
|
||||
hit_location=None,
|
||||
state=state,
|
||||
defensive_decision=DefensiveDecision(),
|
||||
offensive_decision=OffensiveDecision(),
|
||||
ab_roll=ab_roll
|
||||
)
|
||||
|
||||
assert result.runs_scored == 1 # Runner on 3rd forced home
|
||||
assert result.batter_result == 1
|
||||
# Should advance: 3→4, 2→3, 1→2
|
||||
assert (3, 4) in result.runners_advanced
|
||||
assert (2, 3) in result.runners_advanced
|
||||
assert (1, 2) in result.runners_advanced
|
||||
|
||||
def test_single_runner_on_third_scores(self):
|
||||
"""Test single scores runner from third"""
|
||||
resolver = PlayResolver()
|
||||
def test_groundball_uses_runner_advancement(self):
|
||||
"""Test that groundballs delegate to RunnerAdvancement"""
|
||||
resolver = PlayResolver(league_id="sba", auto_mode=False)
|
||||
state = GameState(
|
||||
game_id=uuid4(),
|
||||
league_id="sba",
|
||||
home_team_id=1,
|
||||
away_team_id=2,
|
||||
on_third=LineupPlayerState(lineup_id=1, card_id=101, position="CF", batting_order=1)
|
||||
away_team_id=2
|
||||
)
|
||||
ab_roll = create_mock_ab_roll(14)
|
||||
ab_roll = create_mock_ab_roll(state.game_id)
|
||||
|
||||
result = resolver._resolve_outcome(PlayOutcome.SINGLE_1, state, ab_roll)
|
||||
result = resolver.resolve_outcome(
|
||||
outcome=PlayOutcome.GROUNDBALL_C,
|
||||
hit_location="SS",
|
||||
state=state,
|
||||
defensive_decision=DefensiveDecision(),
|
||||
offensive_decision=OffensiveDecision(),
|
||||
ab_roll=ab_roll
|
||||
)
|
||||
|
||||
assert result.runs_scored == 1
|
||||
assert (3, 4) in result.runners_advanced
|
||||
# RunnerAdvancement should have been called
|
||||
assert result.outcome == PlayOutcome.GROUNDBALL_C
|
||||
assert result.hit_location == "SS"
|
||||
# Result should have outs/runs from RunnerAdvancement
|
||||
assert isinstance(result.outs_recorded, int)
|
||||
assert isinstance(result.runs_scored, int)
|
||||
|
||||
def test_homerun_grand_slam(self):
|
||||
"""Test grand slam homerun"""
|
||||
resolver = PlayResolver()
|
||||
resolver = PlayResolver(league_id="sba", auto_mode=False)
|
||||
state = GameState(
|
||||
game_id=uuid4(),
|
||||
league_id="sba",
|
||||
@ -233,36 +184,17 @@ class TestPlayResultResolution:
|
||||
on_second=LineupPlayerState(lineup_id=2, card_id=102, position="RF", batting_order=2),
|
||||
on_third=LineupPlayerState(lineup_id=3, card_id=103, position="SS", batting_order=3)
|
||||
)
|
||||
ab_roll = create_mock_ab_roll(20)
|
||||
ab_roll = create_mock_ab_roll(state.game_id)
|
||||
|
||||
result = resolver._resolve_outcome(PlayOutcome.HOMERUN, state, ab_roll)
|
||||
result = resolver.resolve_outcome(
|
||||
outcome=PlayOutcome.HOMERUN,
|
||||
hit_location=None,
|
||||
state=state,
|
||||
defensive_decision=DefensiveDecision(),
|
||||
offensive_decision=OffensiveDecision(),
|
||||
ab_roll=ab_roll
|
||||
)
|
||||
|
||||
assert result.runs_scored == 4 # 3 runners + batter
|
||||
assert result.batter_result == 4
|
||||
|
||||
def test_wild_pitch_scores_runner_from_third(self):
|
||||
"""Test wild pitch scores runner from third"""
|
||||
resolver = PlayResolver()
|
||||
state = GameState(
|
||||
game_id=uuid4(),
|
||||
league_id="sba",
|
||||
home_team_id=1,
|
||||
away_team_id=2,
|
||||
on_third=LineupPlayerState(lineup_id=1, card_id=101, position="CF", batting_order=1)
|
||||
)
|
||||
ab_roll = create_mock_ab_roll(chaos_d20=1, resolution_d20=8)
|
||||
|
||||
result = resolver._resolve_outcome(PlayOutcome.WILD_PITCH, state, ab_roll)
|
||||
|
||||
assert result.runs_scored == 1
|
||||
assert (3, 4) in result.runners_advanced
|
||||
|
||||
|
||||
class TestPlayResolverSingleton:
|
||||
"""Test play_resolver singleton"""
|
||||
|
||||
def test_singleton_import(self):
|
||||
"""Test that play_resolver singleton is importable"""
|
||||
from app.core.play_resolver import play_resolver
|
||||
assert play_resolver is not None
|
||||
assert isinstance(play_resolver, PlayResolver)
|
||||
assert result.is_hit is True
|
||||
|
||||
Loading…
Reference in New Issue
Block a user