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https://github.com/crewAIInc/crewAI.git
synced 2026-01-10 16:48:30 +00:00
Fix final failing test
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@@ -246,7 +246,6 @@ class Task(BaseModel):
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if json_output
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else pydantic_output.model_dump_json() if pydantic_output else result
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)
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print("CALLING SAVE FILE", content)
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self._save_file(content)
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return task_output
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@@ -315,6 +314,13 @@ class Task(BaseModel):
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return copied_task
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def _create_converter(self, *args, **kwargs) -> Converter:
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"""Create a converter instance."""
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converter = self.agent.get_output_converter(*args, **kwargs)
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if self.converter_cls:
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converter = self.converter_cls(*args, **kwargs)
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return converter
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def _export_output(
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self, result: str
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) -> Tuple[Optional[BaseModel], Optional[Dict[str, Any]]]:
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@@ -323,11 +329,9 @@ class Task(BaseModel):
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if self.output_pydantic or self.output_json:
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model_output = self._convert_to_model(result)
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print("MODEL OUTPUT", model_output)
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pydantic_output = (
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model_output if isinstance(model_output, BaseModel) else None
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)
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print("PYDANTIC OUTPUT", pydantic_output)
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if isinstance(model_output, str):
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try:
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json_output = json.loads(model_output)
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@@ -335,7 +339,6 @@ class Task(BaseModel):
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json_output = None
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else:
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json_output = model_output if isinstance(model_output, dict) else None
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print("JSON OUTPUT", json_output)
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return pydantic_output, json_output
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@@ -347,18 +350,13 @@ class Task(BaseModel):
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try:
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return self._validate_model(result, model)
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except Exception:
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print("EXCEPTION IN _convert_to_model")
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return self._handle_partial_json(result, model)
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def _validate_model(
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self, result: str, model: Type[BaseModel]
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) -> Union[dict, BaseModel]:
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print("VALIDATE MODEL - RESULT", result)
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print("VALIDATE MODEL - MODEL", model)
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exported_result = model.model_validate_json(result)
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print("EXPORTED RESULT", exported_result)
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if self.output_json:
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print("HERE IN _validate_model", self.output_json)
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return exported_result.model_dump()
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return exported_result
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@@ -369,12 +367,10 @@ class Task(BaseModel):
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if match:
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try:
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exported_result = model.model_validate_json(match.group(0))
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print("EXPORTED RESULT in handle_partial", exported_result)
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if self.output_json:
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return exported_result.model_dump()
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return exported_result
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except Exception:
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print("EXCEPTION IN _handle_partial_json")
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pass
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return self._convert_with_instructions(result, model)
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@@ -382,20 +378,16 @@ class Task(BaseModel):
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def _convert_with_instructions(
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self, result: str, model: Type[BaseModel]
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) -> Union[dict, BaseModel, str]:
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print("CONVERT WITH INSTRUCTIONS - RESULT", result)
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print("CONVERT WITH INSTRUCTIONS - model", model)
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llm = self.agent.function_calling_llm or self.agent.llm
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instructions = self._get_conversion_instructions(model, llm)
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converter = Converter(
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converter = self._create_converter(
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llm=llm, text=result, model=model, instructions=instructions
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)
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print("CONVERTER", converter)
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exported_result = (
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converter.to_pydantic() if self.output_pydantic else converter.to_json()
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)
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print("EXPORTED RESULT IN CONVERT WITH INSTRUCTIONS", exported_result)
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if isinstance(exported_result, ConverterError):
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Printer().print(
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@@ -434,7 +426,6 @@ class Task(BaseModel):
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return isinstance(llm, ChatOpenAI) and llm.openai_api_base is None
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def _save_file(self, result: Any) -> None:
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print("SAVING FILE with content", result)
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directory = os.path.dirname(self.output_file) # type: ignore # Value of type variable "AnyOrLiteralStr" of "dirname" cannot be "str | None"
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if directory and not os.path.exists(directory):
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