import json
from copy import deepcopy
from typing import Any, Dict
from flow_modules.aiflows.ChatFlowModule import ChatAtomicFlow



class CodeGeneratorAtomicFlow(ChatAtomicFlow):
    """Generates one function with docstrings to finish the given goal (from the controller).
    """
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        self.system_message_prompt_template = self.system_message_prompt_template.partial(
            code_library_file_location="no location yet",
            code_library="no code yet"
        )
        self.hint_for_model = """
        Make sure your response is in the following format:
              Response Format:
              {
              "language_of_code": "language of the code",
              "code": "String of the code and docstrings corresponding to the goal",
              }
        """

    @classmethod
    def instantiate_from_config(cls, config):
        flow_config = deepcopy(config)

        kwargs = {"flow_config": flow_config}

        # ~~~ Set up prompts ~~~
        kwargs.update(cls._set_up_prompts(flow_config))

        # ~~~ Set up backend ~~~
        kwargs.update(cls._set_up_backend(flow_config))

        # ~~~ Instantiate flow ~~~
        return cls(**kwargs)

    def _get_code_library_file(self, input_data: Dict[str, Any]):
        assert "memory_files" in input_data, "memory_files not passed to CodeGeneratorAtomicFlow"
        assert "code_library" in input_data['memory_files'], "code_library not in memory_files"
        code_library_file_location = input_data['memory_files']['code_library']
        return code_library_file_location

    def _get_code_library_content(self, input_data: Dict[str, Any]):
        assert "code_library" in input_data, "code_library not passed to CodeGeneratorAtomicFlow"
        code_library = input_data['code_library']
        if len(code_library) == 0:
            code_library = "No code yet"
        return code_library

    def _update_prompts_and_input(self, input_data: Dict[str, Any]):
        if 'goal' in input_data:
            input_data['goal'] += self.hint_for_model
        code_library_file_location = self._get_code_library_file(input_data)
        code_library = self._get_code_library_content(input_data)
        self.system_message_prompt_template = self.system_message_prompt_template.partial(
            code_library_file_location=code_library_file_location,
            code_library=code_library
        )

    def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
        self._update_prompts_and_input(input_data)
        api_output = super().run(input_data)["api_output"].strip()
        try:
            response = json.loads(api_output)
            return response
        except json.decoder.JSONDecodeError:
            new_input_data = input_data.copy()
            new_input_data['goal'] += ("The previous respond cannot be parsed with json.loads, it could be the "
                                       "backslashes used for escaping single quotes in the string arguments of the "
                                       "Python code are not properly escaped themselves within the JSON context. "
                                       "Make sure your next response is in JSON format.")
            new_api_output = super().run(new_input_data)["api_output"].strip()
            return json.loads(new_api_output)