feat(sp6): 4-field weighted scoring module

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Tyler
2026-06-20 18:30:05 -06:00
parent f4910fd94d
commit 3432c76561
2 changed files with 221 additions and 0 deletions
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"""Transparent 4-field weighted scoring for Inbox candidate pairs.
SP6 T5.
Weights (sum to 100):
- patient control number match (exact, normalized) 40
- service date proximity (±3 days linear decay) 25
- charge amount proximity (±10% linear decay) 20
- provider NPI exact match 15
"""
from __future__ import annotations
from dataclasses import dataclass
from datetime import date
from decimal import Decimal
from typing import Protocol
class _ScorableClaim(Protocol):
patient_control_number: str
service_date_from: date | None
charge_amount: Decimal
provider_npi: str | None
class _ScorableRemit(Protocol):
patient_control_number: str
service_date: date | None
charge_amount: Decimal
rendering_provider_npi: str | None
@dataclass(frozen=True)
class ScoreBreakdown:
patient: float
date: float
amount: float
provider: float
@property
def total(self) -> int:
return round(
self.patient * 40
+ self.date * 25
+ self.amount * 20
+ self.provider * 15
)
@property
def tier(self) -> str:
if self.total >= 75:
return "strong"
if self.total >= 50:
return "weak"
return "hidden"
def _norm_pcn(s: str) -> str:
return (s or "").strip().lower().lstrip("0")
def _date_score(claim_date: date | None, remit_date: date | None) -> float:
if claim_date is None or remit_date is None:
return 0.0
delta = abs((claim_date - remit_date).days)
if delta > 3:
return 0.0
return 1.0 - (delta / 3.0)
def _amount_score(claim_amt: Decimal, remit_amt: Decimal) -> float:
if claim_amt <= 0:
return 0.0
diff = abs(claim_amt - remit_amt)
threshold = claim_amt * Decimal("0.10")
if diff > threshold:
return 0.0
# Normalize diff within threshold to 0..1
return float(Decimal("1.0") - (diff / threshold))
def _provider_score(claim_npi: str | None, remit_npi: str | None) -> float:
if not claim_npi or not remit_npi:
return 0.0
return 1.0 if claim_npi.strip() == remit_npi.strip() else 0.0
def score_pair(claim: _ScorableClaim, remit: _ScorableRemit) -> ScoreBreakdown:
claim_pcn = _norm_pcn(claim.patient_control_number)
remit_pcn = _norm_pcn(remit.patient_control_number)
return ScoreBreakdown(
patient=1.0 if claim_pcn and claim_pcn == remit_pcn else 0.0,
date=_date_score(claim.service_date_from, remit.service_date),
amount=_amount_score(claim.charge_amount, remit.charge_amount),
provider=_provider_score(claim.provider_npi, remit.rendering_provider_npi),
)
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"""TDD: 4-field weighted scoring for Inbox candidate pairs.
Plan: docs/superpowers/plans/2026-06-20-cyclone-workflow-automation.md
Task 5 (T5).
"""
from __future__ import annotations
from dataclasses import dataclass
from datetime import date
from decimal import Decimal
import pytest
from cyclone.scoring import score_pair
@dataclass
class FakeClaim:
patient_control_number: str = "PCN-001"
service_date_from: date | None = date(2026, 6, 10)
charge_amount: Decimal = Decimal("100.00")
provider_npi: str | None = "1234567890"
@dataclass
class FakeRemit:
patient_control_number: str = "PCN-001"
service_date: date | None = date(2026, 6, 10)
charge_amount: Decimal = Decimal("100.00")
rendering_provider_npi: str | None = "1234567890"
def test_perfect_match_scores_100():
s = score_pair(FakeClaim(), FakeRemit())
assert s.total == 100
assert s.patient == 1.0
assert s.date == 1.0
assert s.amount == 1.0
assert s.provider == 1.0
def test_date_within_3_days_scores_partial():
s = score_pair(
FakeClaim(service_date_from=date(2026, 6, 10)),
FakeRemit(service_date=date(2026, 6, 12)),
)
assert s.date == pytest.approx(1 - 2/3) # 0.333
def test_date_beyond_3_days_scores_zero():
s = score_pair(
FakeClaim(service_date_from=date(2026, 6, 10)),
FakeRemit(service_date=date(2026, 6, 14)),
)
assert s.date == 0.0
def test_amount_within_10pct_scores_partial():
s = score_pair(
FakeClaim(charge_amount=Decimal("100.00")),
FakeRemit(charge_amount=Decimal("108.00")),
)
assert s.amount == pytest.approx(1 - 8/10)
def test_amount_beyond_10pct_scores_zero():
s = score_pair(
FakeClaim(charge_amount=Decimal("100.00")),
FakeRemit(charge_amount=Decimal("120.00")),
)
assert s.amount == 0.0
def test_patient_normalized_exact_match():
s = score_pair(
FakeClaim(patient_control_number="PCN-001"),
FakeRemit(patient_control_number=" pcn-001 "),
)
assert s.patient == 1.0
def test_patient_mismatch_scores_zero():
s = score_pair(
FakeClaim(patient_control_number="PCN-001"),
FakeRemit(patient_control_number="PCN-002"),
)
assert s.patient == 0.0
def test_missing_provider_npi_scores_zero():
s = score_pair(
FakeClaim(provider_npi=None),
FakeRemit(rendering_provider_npi="1234567890"),
)
assert s.provider == 0.0
def test_missing_service_date_scores_zero():
s = score_pair(
FakeClaim(service_date_from=None),
FakeRemit(service_date=date(2026, 6, 10)),
)
assert s.date == 0.0
def test_threshold_boundaries():
"""Tier boundaries: ≥75 strong, 5074 weak, <50 hidden."""
# All fields 0 except amount = 0.75 (exact) → 15 pts → total 15 → hidden
s = score_pair(
FakeClaim(
patient_control_number="X", # 0
service_date_from=date(2026, 6, 10),
charge_amount=Decimal("100.00"),
provider_npi="1234567890",
),
FakeRemit(
patient_control_number="Y", # 0
service_date=date(2026, 6, 10),
charge_amount=Decimal("100.00"),
rendering_provider_npi="1234567890",
),
)
# patient=0, date=1, amount=1, provider=1 → 0+25+20+15 = 60 → weak tier
assert 50 <= s.total < 75 # weak tier
assert s.tier == "weak"