43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
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from decimal import Decimal
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from app.domain.enums import Classification, Eligibility
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from app.domain.models import ScoringModel
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from app.scoring.mathutil import clamp
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def classify_deal_score(score: Decimal, model: ScoringModel) -> str:
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for bound in model.classification_upper_bounds:
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if bound.inclusive and score <= bound.upper:
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return bound.label
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if not bound.inclusive and score < bound.upper:
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return bound.label
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return Classification.EXCEPTIONAL.value
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def score_deal(product_score: Decimal, price_score: Decimal, model: ScoringModel) -> Decimal:
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return clamp(model.product_weight * product_score + model.price_weight * price_score)
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def eligibility_from_parts(product: Eligibility, offer: Eligibility) -> Eligibility:
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if Eligibility.INELIGIBLE in {product, offer}:
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return Eligibility.INELIGIBLE
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if Eligibility.UNKNOWN in {product, offer}:
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return Eligibility.UNKNOWN
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return Eligibility.ELIGIBLE
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def derive_eligible(overall: Eligibility) -> bool | None:
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if overall == Eligibility.ELIGIBLE:
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return True
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if overall == Eligibility.INELIGIBLE:
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return False
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return None
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def classification_for(overall: Eligibility, deal_score: Decimal | None, model: ScoringModel) -> str:
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if overall == Eligibility.INELIGIBLE:
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return Classification.INELIGIBLE.value
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if overall == Eligibility.UNKNOWN or deal_score is None:
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return Classification.INSUFFICIENT_DATA.value
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return classify_deal_score(deal_score, model)
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