feat: qualité DP Phase 2 — filtre OCR étendu, abréviations médicales, promotion DAS→DP
- Filtre OCR : regex étendu (opérateurs +-*/), artefacts temporels (années), seuil digits abaissé 0.50→0.48 - Dictionnaire 41 abréviations médicales françaises (BMR, BPCO, SDRA, OAP, IDM, SCA, AVC, ACFA, SIDA, TDAH, etc.) avec expand_medical_abbreviations() appelé sur diagnostics Trackare et DAS LLM - Promotion DAS→DP : si aucun DP extrait, le meilleur DAS (scoring pertinence/confiance/spécificité) est promu avec traçabilité RULE-DAS-TO-DP - 95 nouveaux tests (OCR, abréviations, promotion, scoring, non-régression) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -312,6 +312,35 @@ def _iron_evidence_blob(dossier: DossierMedical, diag: Diagnostic) -> str:
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return _norm("\n".join(parts))
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def _das_promotion_score(das: Diagnostic) -> tuple[int, int, int]:
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"""Score de pertinence pour la promotion DAS→DP.
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Retourne (pertinence_clinique, confiance, spécificité) :
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- Pertinence : pathologie (2) > symptôme R (1) > Z-code (0)
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- Confiance : high (3) > medium (2) > low (1)
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- Spécificité : longueur du code (sans point) — plus long = plus spécifique
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"""
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code = das.cim10_final or ""
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letter = code[0] if code else ""
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# Pertinence clinique
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if letter == "Z":
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pertinence = 0
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elif letter == "R":
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pertinence = 1
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else:
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pertinence = 2
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# Confiance
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conf = (das.cim10_confidence or "").lower()
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confiance = {"high": 3, "medium": 2, "low": 1}.get(conf, 1)
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# Spécificité (longueur du code)
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specificite = len(code.replace(".", ""))
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return (pertinence, confiance, specificite)
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def apply_decisions(dossier: DossierMedical) -> None:
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"""Applique des décisions finales sur DP/DAS.
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@@ -579,6 +608,40 @@ def apply_decisions(dossier: DossierMedical) -> None:
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applied_rules=["RULE-E87.6-K-NORMAL"],
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)
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# --- Règle: promotion DAS→DP quand aucun DP n'a été extrait ---
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if rule_enabled("RULE-DAS-TO-DP"):
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if dossier.diagnostic_principal is None and dossier.diagnostics_associes:
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candidates = [
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das for das in dossier.diagnostics_associes
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if das.cim10_final
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and das.status not in ("ruled_out", "needs_info")
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]
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if candidates:
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best = max(candidates, key=_das_promotion_score)
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dossier.diagnostic_principal = Diagnostic(
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texte=best.texte,
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cim10_suggestion=best.cim10_suggestion,
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cim10_confidence=best.cim10_confidence,
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cim10_final=best.cim10_final,
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justification=best.justification,
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raisonnement=best.raisonnement,
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source=best.source,
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source_page=best.source_page,
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source_excerpt=best.source_excerpt,
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preuves_cliniques=best.preuves_cliniques,
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sources_rag=best.sources_rag,
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cim10_decision=CodeDecision(
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action="PROMOTE_DP",
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final_code=best.cim10_final,
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applied_rules=["RULE-DAS-TO-DP"],
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reason=f"DAS promu en DP (score {_das_promotion_score(best)})",
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),
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)
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dossier.diagnostics_associes.remove(best)
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logger.warning(
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"PROMOTE_DP: DAS %s (%s) promu en DP — aucun DP extrait",
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best.cim10_final, best.texte,
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)
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def decision_summaries(dossier: DossierMedical) -> list[str]:
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@@ -612,6 +675,8 @@ def decision_summaries(dossier: DossierMedical) -> list[str]:
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if dec.needs_info:
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for q in dec.needs_info:
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lines.append(f"DECISION: besoin_info: {q}")
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elif dec.action == "PROMOTE_DP":
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lines.append(f"DECISION: {where} {dec.final_code} promu en DP ({', '.join(dec.applied_rules)})")
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if dossier.diagnostic_principal:
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_summ("diagnostic_principal", dossier.diagnostic_principal)
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