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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 | |
def _identifying_params(self) -> Mapping[str, Any]: | |
return {'name_of_model': self.model_path} | |
def _llm_type(self) -> str: | |
return self.model_path | |