40 lines
1.8 KiB
Python
40 lines
1.8 KiB
Python
from datetime import datetime, timedelta, timezone
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from sqlalchemy import create_engine
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from sqlalchemy.orm import Session
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from app.database import Base
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from app.models import CatchReport, CatchTackleComponent, Fish, ModerationStatus, SourceType, Spot, Waterbody
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from app.routers.analytics import tackle_combinations
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def test_tackle_recommendation_requires_samples_and_independent_players() -> None:
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now = datetime.now(timezone.utc)
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engine = create_engine("sqlite://")
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Base.metadata.create_all(engine)
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with Session(engine) as db:
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waterbody = Waterbody(slug="lake", name_ru="Озеро", unlock_level=1)
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fish = Fish(slug="pike", name_ru="Щука", trophy_weight_g=10_000)
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spot = Spot(waterbody=waterbody, x=10, y=20)
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db.add_all([waterbody, fish, spot])
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db.flush()
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for index, player in enumerate(("One", "One", "Two")):
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report = CatchReport(
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fish=fish, waterbody=waterbody, spot=spot, weight_g=1000,
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caught_at=now - timedelta(hours=1), reported_at=now - timedelta(hours=1),
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player_name=player, source_type=SourceType.user, source_confidence=80,
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moderation_status=ModerationStatus.approved,
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)
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report.tackle_components.append(CatchTackleComponent(role="lure", position=0, raw_value="Spinner #1"))
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db.add(report)
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db.commit()
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rows = tackle_combinations(db, waterbody="lake", fish="pike", method=None, hours=72, min_samples=3, min_players=2)
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assert len(rows) == 1
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assert (rows[0].status, rows[0].catches, rows[0].unique_players) == ("recommendation", 3, 2)
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rows = tackle_combinations(db, waterbody="lake", fish="pike", method=None, hours=72, min_samples=3, min_players=3)
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assert rows[0].status == "insufficient_data"
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engine.dispose()
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