104 lines
3.8 KiB
Python
104 lines
3.8 KiB
Python
from datetime import datetime, timezone
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from decimal import Decimal
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from uuid import uuid4
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from app.domain.models import Budget
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from app.scoring.price import daily_series, median, score_price, select_current_observation
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from tests.conftest import observation, utc
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def test_budget_and_history_points(scoring_model):
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budget = Budget(Decimal("1500.00"), Decimal("2000.00"))
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score, budget_score, history_score, basis, warning = score_price(
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current_price=Decimal("1500.00"),
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reference_history=(Decimal("1500"), Decimal("1500"), Decimal("1500")),
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budget=budget,
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model=scoring_model,
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)
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assert budget_score == Decimal("100")
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assert history_score == Decimal("50")
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assert basis.value == "BUDGET_AND_HISTORY"
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assert warning is None
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over, over_budget, _, _, _ = score_price(
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current_price=Decimal("2000.00"),
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reference_history=(Decimal("1000"), Decimal("1000"), Decimal("1000")),
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budget=budget,
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model=scoring_model,
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)
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assert over_budget == Decimal("0")
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cheap, _, hist, _, _ = score_price(
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current_price=Decimal("800.00"),
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reference_history=(Decimal("1000"), Decimal("1000"), Decimal("1000")),
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budget=budget,
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model=scoring_model,
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)
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assert hist == Decimal("100")
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expensive, _, hist2, _, _ = score_price(
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current_price=Decimal("1200.00"),
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reference_history=(Decimal("1000"), Decimal("1000"), Decimal("1000")),
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budget=budget,
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model=scoring_model,
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)
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assert hist2 == Decimal("0")
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def test_budget_only_with_short_history(scoring_model):
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budget = Budget(Decimal("1500.00"), Decimal("2000.00"))
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for days in ((), (Decimal("10"),), (Decimal("10"), Decimal("11"))):
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score, budget_score, history_score, basis, warning = score_price(
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current_price=Decimal("1298.00"),
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reference_history=days,
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budget=budget,
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model=scoring_model,
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)
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assert score == budget_score == Decimal("100")
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assert history_score is None
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assert basis.value == "BUDGET_ONLY"
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assert warning == "INSUFFICIENT_HISTORY"
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def test_median_even_and_odd():
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assert median((Decimal("1"), Decimal("3"), Decimal("5"))) == Decimal("3")
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assert median((Decimal("1"), Decimal("2"), Decimal("3"), Decimal("4"))) == Decimal("2.5")
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def test_daily_series_latest_then_quality_filter(scoring_model):
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offer = uuid4()
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morning = observation((10, 1), "10.00", offer_id=offer, hour=8)
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later_unknown = observation((10, 1), "9.00", offer_id=offer, hour=12, availability="unknown")
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values, _ = daily_series(
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(morning, later_unknown),
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window_start=datetime(2026, 9, 1, tzinfo=timezone.utc).date(),
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window_end_exclusive=datetime(2026, 10, 3, tzinfo=timezone.utc).date(),
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minimum_confidence=scoring_model.minimum_confidence,
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)
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assert values == ()
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def test_current_observation_does_not_fall_back():
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cheap_old = observation((10, 2), "10.00")
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unknown_new = observation((10, 3), "99.00", availability="unknown")
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current = select_current_observation(
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(cheap_old, unknown_new),
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as_of=utc(2026, 10, 3, 12),
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snapshot_cutoff=utc(2026, 10, 3, 12),
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)
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assert current is not None
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assert current.availability.value == "unknown"
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assert current.item_price == Decimal("99.00")
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def test_no_offer_object_required_for_price_function(scoring_model):
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score, _, _, basis, _ = score_price(
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current_price=Decimal("1298.00"),
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reference_history=(Decimal("1599"), Decimal("1599"), Decimal("1599")),
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budget=Budget(Decimal("1500"), Decimal("2000")),
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model=scoring_model,
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)
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from app.scoring.mathutil import round_score
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assert basis.value == "BUDGET_AND_HISTORY"
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assert round_score(score) == Decimal("98.24")
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