Ajustes conforme relatorio de testes 2026-08-27

tests/migration/test_revprec_epistemic_uncertainty.py

@@ -0,0 +1,80 @@
+from __future__ import annotations
+
+import pytest
+
+from app.extensions.tim_guardrails import TimPrematureActionRail
+
+
+class FakeLLM:
+    def __init__(self, content: str):
+        self.content = content
+
+    async def ainvoke(self, messages, **kwargs):
+        return self.content
+
+
+@pytest.mark.asyncio
+async def test_revprec_allows_structured_insufficient_evidence_without_calling_llm():
+    text = "Identifiquei dados de desconto, mas os dados disponíveis não informam o motivo da retirada ou do término do desconto."
+
+    class MustNotRunLLM:
+        async def ainvoke(self, *args, **kwargs):
+            raise AssertionError("LLM não deveria ser chamada no bypass estrutural")
+
+    ctx = {
+        "guardrail_llm": MustNotRunLLM(),
+        "mcp_results": [
+            {
+                "tool_name": "termino_desconto",
+                "ok": True,
+                "result": {
+                    "output": {
+                        "formatar": {
+                            "mensagem": text,
+                            "epistemic_status": "insufficient_evidence",
+                            "discount_reason_grounded": False,
+                        }
+                    }
+                },
+            }
+        ],
+    }
+    out = await TimPrematureActionRail().evaluate(text, ctx)
+    assert out.allowed is True
+    assert out.reason == "insufficient_evidence_non_assertive"
+    assert out.metadata["mechanism"] == "deterministic_epistemic_bypass"
+
+
+@pytest.mark.asyncio
+async def test_revprec_does_not_bypass_if_message_does_not_match_structured_result():
+    structured = "Os dados disponíveis não informam o motivo."
+    text = "Cancelei o serviço com sucesso."
+    ctx = {
+        "guardrail_llm": FakeLLM("1"),
+        "mcp_results": [{"result": {"output": {"mensagem": structured, "epistemic_status": "insufficient_evidence"}}}],
+    }
+    out = await TimPrematureActionRail().evaluate(text, ctx)
+    assert out.allowed is False
+
+
+@pytest.mark.asyncio
+async def test_revprec_still_blocks_real_premature_action_without_structured_marker():
+    out = await TimPrematureActionRail().evaluate(
+        "Cancelei o serviço com sucesso.",
+        {"guardrail_llm": FakeLLM("1"), "mcp_results": []},
+    )
+    assert out.allowed is False
+
+
+def test_termino_desconto_declares_epistemic_status():
+    from app.domain.contas.service import ContasDomainService
+    from app.domain.contas.workflow_actions import build_contas_workflow_actions
+
+    action = build_contas_workflow_actions(ContasDomainService()).get("formatar_capability_resposta")
+    no_reason = action({"tipo": "termino_desconto"}, {"input": {}})
+    with_reason = action(
+        {"tipo": "termino_desconto", "discount_evidence": {"discount_reason": "fim da campanha"}},
+        {"input": {}},
+    )
+    assert no_reason["epistemic_status"] == "insufficient_evidence"
+    assert with_reason["epistemic_status"] == "grounded_fact"