refactor: removendo comentários

_utils/gerar_documento_utils/tests/test_contextual_retriever_inside.py

@@ -70,41 +70,6 @@ lista_chunks_errados = [
 class TestContextualRetrieverUtils:
     context_retrieval_utils = ContextualRetrieverUtils()
 
-    # @pytest.mark.asyncio
-    # async def test_valida_retries_automaticos_do_contextual(self, monkeypatch):
-    # call_count = 0  # Track how many times the function is called
-
-    # # Define the custom side effect
-    # def custom_side_effect(response, document_ids):
-    #     nonlocal call_count
-    #     print(f"MOCK CALL {call_count+1} RECEIVED")
-    #     if call_count < 2:
-    #         call_count += 1
-    #         print("MOCK RETORNADO FALSE")
-    #         return False  # Mocked return value for first two calls
-    #     return validate_many_chunks_in_one_request(
-    #         response, document_ids
-    #     )  # Call the real function after two mocks
-
-    # monkeypatch.setattr(
-    #     "_utils.gerar_documento_utils.contextual_retriever.validate_many_chunks_in_one_request",
-    #     custom_side_effect,
-    # )
-
-    # mock_agpt_answer = AsyncMock(
-    #     return_value=lista_respostas_contextuals_cenario_02[0]
-    # )
-    # monkeypatch.setattr(
-    #     "_utils.gerar_documento_utils.contextual_retriever.agpt_answer",
-    #     mock_agpt_answer,
-    # )
-
-    # resultado = await self.context_retrieval.llm_call_uma_lista_de_20_chunks(
-    #     cenario_01_lista_com_20_chunks, cenario_01_resumo_auxiliar
-    # )
-    # assert all(len(item) == 3 for item in resultado)
-    # assert call_count == 2  # Ensure only the first two calls were mocked
-
     @pytest.mark.asyncio
     def test_check_regex_patterns_success(self):
         for context in resposta_llm_com_20_chunks_fixture_array: