feat: quality_tier CPAM (A/B/C) + requires_review + warnings catégorisés

- ControleCPAM enrichi : quality_tier, requires_review, quality_warnings
- _assess_quality_tier() : classification basée sur score adversarial + warnings
  - Tier C (requires_review) : score <4, code hors périmètre, >2 preuves non traçables
  - Tier B : score 4-6, warnings mineurs
  - Tier A : score >=7, 0 critique
- _format_response() : bandeau "REVUE MANUELLE REQUISE" pour tier C,
  sections CRITIQUES/MINEURS séparées
- Badge qualité dans le viewer CPAM (vert A / orange B / rouge C)
- 17 tests : tier A/B/C, bandeau, séparation warnings, backward compat

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

src/control/cpam_response.py

@@ -27,6 +27,7 @@ from .cpam_validation import (
     _validate_codes_in_response,
     _build_correction_prompt,
     _format_response,
+    _assess_quality_tier,
 )
 
 # Backward compat — sera retiré dans un commit futur
@@ -38,7 +39,7 @@ from .cpam_context import (  # noqa: F401
     _build_bio_summary,
     _check_das_bio_coherence,
 )
-from .cpam_validation import _CIM10_CODE_RE, _validate_adversarial as _validate_adversarial  # noqa: F401
+from .cpam_validation import _CIM10_CODE_RE, _validate_adversarial as _validate_adversarial, _assess_quality_tier as _assess_quality_tier  # noqa: F401
 
 logger = logging.getLogger(__name__)
 
@@ -220,8 +221,23 @@ def generate_cpam_response(
 
     all_warnings = ref_warnings + grounding_warnings + code_warnings + adversarial_warnings
 
+    # 8c. Classification qualité (A/B/C)
+    tier, needs_review, cat_warnings = _assess_quality_tier(
+        result, ref_warnings, grounding_warnings, code_warnings, validation,
+    )
+    controle.quality_tier = tier
+    controle.requires_review = needs_review
+    controle.quality_warnings = cat_warnings
+    logger.info("  Qualité CPAM : tier %s, requires_review=%s, %d warnings",
+                tier, needs_review, len(cat_warnings))
+
     # 9. Formater la réponse
-    text = _format_response(result, all_warnings)
+    text = _format_response(
+        result,
+        ref_warnings=all_warnings,
+        quality_tier=tier,
+        categorized_warnings=cat_warnings,
+    )
     logger.info("  Contre-argumentation générée (%d caractères)", len(text))
 
     return text, result, rag_sources