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import os
from typing import Mapping, Optional, Any
from langchain.llms.base import LLM
class MockLocalBinaryModel(LLM):
"""
Mock Local Binary Model class, used for generating the string "a".
Args:
model_id (str): The ID of the model to be mocked.
Attributes:
model_path (str): The path to the model to be mocked.
llm (str): The string "a".
Raises:
ValueError: If the model_path does not exist.
"""
model_path: str = None
llm: str = 'READY TO MOCK'
def __init__(self, model_id: str = None):
super().__init__()
self.model_path = f'bot/question_answering/{model_id}'
if not os.path.exists(self.model_path):
raise ValueError(f'{self.model_path} does not exist')
def _call(self, prompt: str, stop: Optional[list[str]] = None) -> str:
return self.llm
@property
def _identifying_params(self) -> Mapping[str, Any]:
return {'name_of_model': self.model_path}
@property
def _llm_type(self) -> str:
return self.model_path
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