auto-sync: tudo-para-ia-mais-humana 2026-05-04 14:23:42

src/mais_humana/institutional_decisions.py

@@ -67,6 +67,18 @@ class HumanPolicyPanel:
     summary: dict[str, int]
 
 
+@dataclass(frozen=True)
+class HumanEvidenceGap:
+    decision_id: str
+    status: str
+    expected_evidence: tuple[str, ...]
+    present_evidence: tuple[str, ...]
+    missing_evidence: tuple[str, ...]
+    visible_to_profile: str
+    human_impact: str
+    next_question: str
+
+
 def _impact(profile_id: str, expectation: str, signal: str, risk: str, question: str) -> HumanImpact:
     return HumanImpact(
         profile_id=profile_id,
@@ -435,3 +447,50 @@ def export_human_policy_readiness_panel(
         "summary": panel.summary,
         "signals": [asdict(signal) for signal in panel.signals],
     }
+
+
+def build_human_institutional_evidence_gap_analysis(
+    available_evidence: dict[str, tuple[str, ...]] | None = None,
+) -> dict[str, object]:
+    evidence_by_decision = available_evidence or {
+        decision.decision_id: decision.expected_mcp_evidence
+        for decision in INSTITUTIONAL_DECISIONS
+    }
+    gaps: list[HumanEvidenceGap] = []
+    for decision in INSTITUTIONAL_DECISIONS:
+        expected = tuple(decision.expected_mcp_evidence)
+        present = tuple(evidence_by_decision.get(decision.decision_id, ()))
+        present_set = set(present)
+        missing = tuple(field for field in expected if field not in present_set)
+        status = "ready" if not missing else "partial" if present else "blocked"
+        profile = decision.affected_profiles[0]
+        gaps.append(
+            HumanEvidenceGap(
+                decision_id=decision.decision_id,
+                status=status,
+                expected_evidence=expected,
+                present_evidence=present,
+                missing_evidence=missing,
+                visible_to_profile=profile.profile_id,
+                human_impact=profile.risk_if_missing if missing else profile.visible_signal,
+                next_question=profile.next_human_question,
+            )
+        )
+    summary = {
+        "ready": sum(1 for gap in gaps if gap.status == "ready"),
+        "partial": sum(1 for gap in gaps if gap.status == "partial"),
+        "blocked": sum(1 for gap in gaps if gap.status == "blocked"),
+        "missing_evidence": sum(len(gap.missing_evidence) for gap in gaps),
+        "total": len(gaps),
+    }
+    return {
+        "ok": summary["partial"] == 0 and summary["blocked"] == 0,
+        "policy_version": POLICY_VERSION,
+        "generated_at": "2026-05-04T00:00:00.000Z",
+        "gaps": [asdict(gap) for gap in gaps],
+        "summary": summary,
+        "human_boundary": (
+            "Mais Humana avalia confianca e pergunta humana; MCP/Docs continuam donos da prova "
+            "e a UI continua responsavel por renderizar a mesma fonte."
+        ),
+    }

tests/test_institutional_decisions.py

@@ -5,6 +5,7 @@ import unittest
 from mais_humana.institutional_decisions import (
     PLATFORM_ALIASES,
     build_human_decision_matrix,
+    build_human_institutional_evidence_gap_analysis,
     build_human_policy_readiness_panel,
     classify_development_action_for_humans,
     export_human_policy_readiness_panel,
@@ -86,6 +87,30 @@ class InstitutionalDecisionHumanTests(unittest.TestCase):
         self.assertEqual(exported["summary"]["ready"], 6)
         self.assertEqual(len(exported["signals"]), 6)
 
+    def test_human_evidence_gap_analysis_explains_missing_confidence_fields(self) -> None:
+        analysis = build_human_institutional_evidence_gap_analysis(
+            {
+                "docs_full_operational_platform": (
+                    "documentId",
+                    "sourceHash",
+                    "authority",
+                    "truthState",
+                    "missingTopics",
+                ),
+                "mcp_required_cross_platform_acceptance": ("originPlatformId", "contractHash"),
+            }
+        )
+        self.assertFalse(analysis["ok"])
+        self.assertEqual(analysis["summary"]["ready"], 1)
+        self.assertGreaterEqual(analysis["summary"]["partial"], 1)
+        mcp_gap = [
+            gap for gap in analysis["gaps"]
+            if gap["decision_id"] == "mcp_required_cross_platform_acceptance"
+        ][0]
+        self.assertEqual(mcp_gap["status"], "partial")
+        self.assertIn("destinationPlatformId", mcp_gap["missing_evidence"])
+        self.assertIn("MCP/Docs continuam donos", analysis["human_boundary"])
+
 
 if __name__ == "__main__":
     unittest.main()