from typing import List, Optional, Dict
import enum

import llm_handler.llm_interface as llm_interface


class MockLLMHandler(llm_interface.LLMInterface):

    _chat_completion: Optional[List[str]]
    _text_embedding: Optional[List[float]]

    def __init__(self,
                 chat_completion: Optional[List[str]] = None,
                 text_embedding: Optional[List[float]] = None):
        self._chat_completion = chat_completion
        self._text_embedding = text_embedding

    def get_chat_completion(self,
                            messages: List[Dict],
                            model: Optional[enum.Enum] = None,
                            temperature: float = 0.2,
                            **kwargs) -> str:
        if not self._chat_completion:
            raise ValueError(f'_chat_completion not set')
        return self._chat_completion.pop(0)

    def get_text_embedding(
        self,
        input: str,
        model: Optional[enum.Enum] = None,
    ) -> List[float]:
        if not self._text_embedding:
            raise ValueError(f'_text_embedding not set')
        return self._text_embedding