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from abc import ABC, abstractmethod |
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from typing import List |
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from src.llm.data_models.typeddict_data_models import MultiCommentModel |
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from src.llm.prompts.prompt_head import ( |
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prompt_head_expert, |
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prompt_head_jarvis, |
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prompt_head_novice, |
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prompt_head_natural, |
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prompt_head_generic, |
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) |
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from src.llm.prompts.prompt_core import prompt_core |
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class BaseLLMWrapper(ABC): |
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def comment( |
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self, |
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character: str, |
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game, |
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comment_refs: List[int], |
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move_nums: List, |
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played_moves: List, |
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played_by: List, |
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comments: List, |
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move_suggestions: List, |
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pre_eval_scores: List, |
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post_eval_scores: List, |
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) -> MultiCommentModel: |
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""" |
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Rewrite the comment in a specific tone or style. |
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Args: |
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character (str): The character or style in which to rewrite the comment. |
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move_nums (List): List of move numbers corresponding to the comments. |
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comments (List): List of comments to be rewritten. |
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move_suggestions (List): List of suggested moves, if any. |
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Returns: |
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MultiCommentModel: A model containing the rewritten comments. |
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""" |
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character = character.lower().strip() |
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if character == "natural": |
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prompt_head = prompt_head_natural |
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elif character == "jarvis": |
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prompt_head = prompt_head_jarvis |
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elif character == "novice": |
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prompt_head = prompt_head_novice |
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elif character == "expert": |
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prompt_head = prompt_head_expert |
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else: |
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prompt_head = prompt_head_generic.format(character=character) |
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comments_info = [] |
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for ( |
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comment_ref, |
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move_num, |
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played_move, |
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played_by_player, |
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comment, |
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suggestion, |
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pre_eval_score, |
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post_eval_score, |
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) in zip( |
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comment_refs, |
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move_nums, |
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played_moves, |
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played_by, |
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comments, |
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move_suggestions, |
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pre_eval_scores, |
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post_eval_scores, |
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): |
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comments_info.append( |
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{ |
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"comment_ref": comment_ref, |
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"move_num": move_num, |
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"move": played_move, |
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"played_by": played_by_player, |
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"comment": comment, |
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"better_variation": suggestion, |
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"score_before_move": pre_eval_score, |
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"score_after_move": post_eval_score, |
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} |
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) |
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prompt = ( |
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prompt_head + "\n" + prompt_core.format(pgn=game, comments=comments_info) |
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) |
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response = self.generate_response(prompt) |
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return response |
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@abstractmethod |
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def generate_response(self, prompt: str) -> MultiCommentModel: |
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""" |
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Generate a response based on the provided prompt. |
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Args: |
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prompt (str): The input prompt to generate a response for. |
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Returns: |
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str: The generated response. |
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""" |
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pass |
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