const fs = require('fs');
const path = require('path');
const { LLM } = require('@themaximalist/llm.js');   // or wherever your LLM package lives

// read optional config file
const configPath = path.join(__dirname, '..', 'llm_config.json');
const llmOptions = fs.existsSync(configPath) 
  ? JSON.parse(fs.readFileSync(configPath, 'utf8')) 
  : {};

class LLMBot {
  constructor() {
    // One instance keeps the whole conversation in memory
    this.llm = new LLM(llmOptions);

    // Prompt fragments we’ll reuse
    this.writePrompt =
      `You are playing a collaborative storytelling game.  
Continue the following story with exactly ONE short, creative sentence.  
Do NOT repeat what’s already written.`;

    this.votePrompt =
      `You are playing a collaborative storytelling game.  
Below is the story so far, followed by a list of possible next sentences.  
Reply with ONLY the number (0-indexed) of the sentence you like best.`;

    this.banterPrompt =
      `You are a playful, slightly sarcastic AI taking part in a writing-game chat.  
Keep it short, fun, and on-topic.`;
  }

  async Write(story_so_far) {
    const msg = `${this.writePrompt}\n\nStory so far:\n${story_so_far}`;
    return (await this.llm.chat(msg)).trim();
  }

  async Vote(story_so_far, choices) {
    const choicesBlock = choices.map((c, i) => `${i}: ${c}`).join('\n');
    const msg = `${this.votePrompt}\n\nStory:\n${story_so_far}\n\nChoices:\n${choicesBlock}`;
    const reply = (await this.llm.chat(msg)).trim();
    // extract first digit found, fallback to 0
    const match = reply.match(/\d+/);
    return match ? parseInt(match[0], 10) : 0;
  }

  async Banter(chat_so_far) {
    const msg = `${this.banterPrompt}\n\nChat so far:\n${chat_so_far}`;
    return (await this.llm.chat(msg)).trim();
  }
}

module.exports = LLMBot;