75 lines
2.9 KiB
Python
75 lines
2.9 KiB
Python
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from decimal import Decimal
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from app.algorithem import ApplicantExpenseProfileInput, evaluate_applicant_expense_profile
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def test_applicant_profile_recommends_review_and_days_cap() -> None:
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result = evaluate_applicant_expense_profile(
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ApplicantExpenseProfileInput(
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applicant_claim_count_90d=6,
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peer_claim_count_p75_90d=4,
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applicant_amount_90d=Decimal("42800"),
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available_peer_budget_90d=Decimal("150000"),
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amount_percentile=Decimal("88"),
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peer_amount_median_90d=Decimal("25000"),
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adjusted_or_returned_count_180d=3,
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approved_claim_count_180d=12,
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requested_days=Decimal("5"),
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peer_travel_days_p75=Decimal("3"),
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business_buffer_days=Decimal("1"),
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claim_amount=Decimal("8000"),
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peer_daily_cost_baseline=Decimal("1400"),
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tolerance_factor=Decimal("1.20"),
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)
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)
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assert result.profile_score == 68
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assert result.profile_level == "review"
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assert result.recommendation_level == "review"
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assert result.travel_days_ratio == Decimal("1.6667")
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assert result.suggested_days == Decimal("4.0000")
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assert result.suggested_amount_cap == Decimal("6720.00")
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assert "applicant.amount_percentile.p85" in result.basis_codes
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assert "travel.days_ratio.review" in result.basis_codes
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def test_applicant_profile_handles_missing_baselines_without_false_risk() -> None:
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result = evaluate_applicant_expense_profile(
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ApplicantExpenseProfileInput(
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applicant_claim_count_90d=1,
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applicant_amount_90d=Decimal("800"),
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requested_days=Decimal("2"),
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claim_amount=Decimal("800"),
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)
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)
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assert result.profile_score == 0
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assert result.profile_level == "normal"
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assert result.recommendation_level == "normal"
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assert result.frequency_ratio == Decimal("0")
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assert result.daily_cost_ratio == Decimal("0")
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assert result.suggested_days == Decimal("2.0000")
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assert result.suggested_amount_cap is None
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assert result.basis_codes == []
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def test_entertainment_deviation_can_escalate_recommendation() -> None:
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result = evaluate_applicant_expense_profile(
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ApplicantExpenseProfileInput(
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entertainment_amount=Decimal("3000"),
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attendee_count=3,
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entertainment_standard_cap=Decimal("600"),
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same_customer_frequency_90d=3,
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applicant_entertainment_percentile=Decimal("96"),
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)
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)
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assert result.entertainment_deviation_score == 100
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assert result.current_claim_deviation_score == 100
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assert result.profile_score == 15
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assert result.profile_level == "normal"
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assert result.recommendation_level == "escalation"
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assert "entertainment.per_capita.escalation" in result.basis_codes
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assert "entertainment.same_customer.frequency_review" in result.basis_codes
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assert "entertainment.amount_percentile.p95" in result.basis_codes
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