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import json
from copy import deepcopy
from typing import Any, Dict
from flow_modules.aiflows.OpenAIChatFlowModule import OpenAIChatAtomicFlow
from dataclasses import dataclass
class CodeGeneratorAtomicFlow(OpenAIChatAtomicFlow):
def __init__(self, **kwargs):
super().__init__(**kwargs)
@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))
kwargs.update(cls._set_up_backend(flow_config))
# ~~~ Instantiate flow ~~~
return cls(**kwargs)
def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
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 corresponding to the goal",
}
"""
if 'goal' in input_data:
input_data['goal'] += hint_for_model
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)
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