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2.09 kB
| import json | |
| from copy import deepcopy | |
| from typing import Any, Dict | |
| from flow_modules.aiflows.ChatFlowModule import ChatAtomicFlow | |
| class CodeGeneratorAtomicFlow(ChatAtomicFlow): | |
| """Generates code and docstrings with given goal (from controller)""" | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| 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", | |
| } | |
| """ | |
| 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 _update_input(self, input_data: Dict[str, Any]): | |
| if 'goal' in input_data: | |
| input_data['goal'] += self.hint_for_model | |
| def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]: | |
| self._update_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) | |