import { readFileSync } from 'fs';
import { join } from 'path';
import { AnthropicClient } from '../adapters/AnthropicClient';
import type { Logger, LLMAnalysis, Story } from '../types/index';

export class LLMAnalyst {
  private logger: Pick<Logger, 'log' | 'warn'>;
  private client: AnthropicClient;

  constructor({ logger }: { logger?: Pick<Logger, 'log' | 'warn'> } = {}) {
    // eslint-disable-next-line no-console
    this.logger = logger ?? { log: console.log, warn: console.warn };
    this.client = new AnthropicClient();
  }

  get isAvailable(): boolean {
    return this.client.isAvailable;
  }

  async analyze(
    stories: Story[],
    existingTickers: string[] = [],
    tickerFrequency: Record<string, number> = {},
  ): Promise<LLMAnalysis | null> {
    if (!this.client.isAvailable) {
      this.logger.warn('LLMAnalyst: ANTHROPIC_API_KEY not set — skipping analysis');
      return null;
    }
    if (!stories?.length) return null;

    const headlines = stories
      .slice(0, 15)
      .map((s, i) => {
        const tickers = s.tickers.length ? ` [${s.tickers.join(', ')}]` : '';
        return `${i + 1}. ${s.title} (${s.source})${tickers}`;
      })
      .join('\n');

    const freqLines = Object.entries(tickerFrequency)
      .sort(([, a], [, b]) => b - a)
      .slice(0, 10)
      .map(([t, n]) => `  ${t}: ${n} ${n === 1 ? 'story' : 'stories'}`)
      .join('\n');

    const freqSection = freqLines ? `\nTicker mention frequency (ranked):\n${freqLines}\n` : '';

    const userMessage = `Today's market news headlines:\n\n${headlines}\n${freqSection}\nAlready identified catalyst tickers: ${existingTickers.join(', ') || 'none'}`;

    const PROMPT_PATH = join(process.cwd(), 'prompts', 'llm-analyst.md');
    const SYSTEM_PROMPT = readFileSync(PROMPT_PATH, 'utf8');

    const raw = await this.client.complete(SYSTEM_PROMPT, userMessage);
    if (!raw) return null;
    const cleaned = raw
      .replace(/^```(?:json)?\s*/i, '')
      .replace(/```\s*$/i, '')
      .trim();
    return JSON.parse(cleaned) as LLMAnalysis;
  }
}