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import json |
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from copy import deepcopy |
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from typing import Any, Dict |
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from flow_modules.aiflows.ChatFlowModule import ChatAtomicFlow |
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class CodeGeneratorAtomicFlow(ChatAtomicFlow): |
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"""Generates code and docstrings with given goal (from controller)""" |
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def __init__(self, **kwargs): |
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super().__init__(**kwargs) |
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self.hint_for_model = """ |
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Make sure your response is in the following format: |
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Response Format: |
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{ |
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"language_of_code": "language of the code", |
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"code": "String of the code and docstrings corresponding to the goal", |
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} |
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""" |
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@classmethod |
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def instantiate_from_config(cls, config): |
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flow_config = deepcopy(config) |
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kwargs = {"flow_config": flow_config} |
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kwargs.update(cls._set_up_prompts(flow_config)) |
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kwargs.update(cls._set_up_backend(flow_config)) |
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return cls(**kwargs) |
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def _update_input(self, input_data: Dict[str, Any]): |
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if 'goal' in input_data: |
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input_data['goal'] += self.hint_for_model |
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def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]: |
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self._update_input(input_data) |
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api_output = super().run(input_data)["api_output"].strip() |
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try: |
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response = json.loads(api_output) |
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return response |
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except json.decoder.JSONDecodeError: |
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new_input_data = input_data.copy() |
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new_input_data['goal'] += ("The previous respond cannot be parsed with json.loads, it could be the " |
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"backslashes used for escaping single quotes in the string arguments of the " |
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"Python code are not properly escaped themselves within the JSON context. " |
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"Make sure your next response is in JSON format.") |
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new_api_output = super().run(new_input_data)["api_output"].strip() |
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return json.loads(new_api_output) |
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