7b76b10175
`dojo sim` plays seeded games over a scenario matrix (variant, players, Kiai bonus, start position, bot lineup) in parallel, prints a summary per scenario and optionally writes one CSV row per game. Metrics are replayed from the event log. Plan updated with the Phase 5 baseline. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
109 lines
3.5 KiB
Python
109 lines
3.5 KiB
Python
from dataclasses import replace
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import pytest
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from dojo.board import Pos
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from dojo.events import (
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Event,
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ExamTaken,
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FightKind,
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GameOver,
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KumiteFought,
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Moved,
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Source,
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TrackChanged,
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TurnStarted,
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)
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from dojo.metrics import KUMITE_SECONDS, TURN_SECONDS, GameMetrics, measure, summarize
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from dojo.rules import VARIANT_A
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CORNERS = (0, 1)
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BOTS = ("balanced", "random")
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HOME_0 = Pos(0, 1) # quadrant 0
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HOME_1 = Pos(0, 14) # quadrant 1
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def fought(attacker: int, defender: int, kind: FightKind, *, exam: bool = False) -> KumiteFought:
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return KumiteFought(attacker, defender, 0, 0, 4, 3, True, kind, exam, cards=())
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def run(events: list[Event]) -> GameMetrics:
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return measure(events, VARIANT_A, CORNERS, BOTS, scenario="test", seed=3)
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def test_measure_counts_fights_income_and_leads() -> None:
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metrics = run(
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[
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TurnStarted(1, 0, 7),
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Moved(0, (HOME_0,)),
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TrackChanged(0, 0, 1, Source.SQUARE),
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TurnStarted(1, 1, 5),
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Moved(1, (HOME_0,)),
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TrackChanged(1, 0, 1, Source.SQUARE),
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fought(1, 0, FightKind.EQUAL),
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TrackChanged(1, 1, 4, Source.KUMITE),
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TrackChanged(0, 1, 0, Source.KUMITE),
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fought(1, 0, FightKind.UPSET),
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TurnStarted(2, 0, 6),
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fought(1, 0, FightKind.EXPECTED), # Player 1 defends: not part of a chain.
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TrackChanged(0, 0, 5, Source.CARD),
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fought(0, 1, FightKind.EQUAL, exam=True),
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ExamTaken(0, 1, passed=True),
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GameOver(0, 2),
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]
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)
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assert (metrics.kumite, metrics.upsets, metrics.expected_wins) == (3, 1, 1)
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assert metrics.max_chain == 2
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assert (metrics.exam_attempts, metrics.exam_passes) == (1, 1)
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assert (metrics.income_square, metrics.income_kumite, metrics.income_card) == (2, 2, 5)
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assert (metrics.square_income_home, metrics.square_income_away) == (1, 1)
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# Leader: 0 (1-0), tie (1-1) keeps it, 1 (0-4), 0 (5-4).
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assert metrics.lead_changes == 2
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assert metrics.final_spread == 1
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assert (metrics.winner_seat, metrics.winner_bot, metrics.rounds) == (0, "balanced", 2)
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assert metrics.minutes == pytest.approx(round((3 * TURN_SECONDS + 4 * KUMITE_SECONDS) / 60, 1))
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def test_measure_tracks_turns_started_on_14() -> None:
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metrics = run(
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[
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TrackChanged(0, 0, 14, Source.CARD),
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TurnStarted(1, 0, 7),
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TurnStarted(1, 1, 7),
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TurnStarted(2, 0, 7),
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TrackChanged(0, 14, 15, Source.KUMITE),
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TurnStarted(2, 1, 7),
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TurnStarted(3, 0, 7),
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TrackChanged(0, 15, 14, Source.SQUARE),
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TurnStarted(4, 0, 7),
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GameOver(None, 4),
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]
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)
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assert metrics.turns_on_14 == 3
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assert metrics.longest_14_streak == 2
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assert metrics.winner_seat is None
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def test_summarize_splits_wins_by_seat_and_bot() -> None:
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base = run([GameOver(None, 10)])
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rows = [
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replace(base, winner_seat=0, winner_bot="balanced"),
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replace(base, lineup="random,balanced", winner_seat=1, winner_bot="balanced"),
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replace(base, lineup="random,balanced", winner_seat=0, winner_bot="random"),
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base,
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]
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summary = summarize("test", rows)
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assert summary.finished == 0.75
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assert summary.win_rate_by_seat == (0.5, 0.25)
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assert summary.win_rate_by_bot == {"balanced": 0.5, "random": 0.25}
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assert summary.rounds.median == 10
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def test_summarize_needs_games() -> None:
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with pytest.raises(ValueError, match="no games"):
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summarize("test", [])
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