import { openai } from '../agent.js';
import type { InterpreterOutput, MediaType } from '../types/agents.js';
import { z } from 'zod';
import { zodTextFormat } from 'openai/helpers/zod';

const InterpreterSchema = z.object({
  liked: z.array(z.string()),
  disliked: z.array(z.string()),
  themes: z.array(z.string()),
  character_preferences: z.array(z.string()),
  tone: z.array(z.string()),
  avoid: z.array(z.string())
});

interface InterpreterInput {
  main_prompt: string;
  liked_shows: string;
  disliked_shows: string;
  themes: string;
  media_type: MediaType;
  feedback_context?: string;
}

export async function runInterpreter(input: InterpreterInput): Promise<InterpreterOutput> {
  const mediaLabel = input.media_type === 'movie' ? 'movie' : 'TV show';
  const feedbackSection = input.feedback_context
    ? `\n\nUser Feedback Context (incorporate into preferences):\n${input.feedback_context}`
    : '';

  const response = await openai.responses.parse({
    model: 'gpt-5.4-mini',
    temperature: 0.2,
    service_tier: 'flex',
    text: { format: zodTextFormat(InterpreterSchema, "preferences") },
    instructions: `You are a ${mediaLabel} preference interpreter. Transform raw user input into structured, normalized preferences.

Rules:
- Extract implicit preferences from the main prompt
- Normalize terminology (e.g. "spy" → "espionage", "cop show" → "police procedural")
- Detect and resolve contradictions (prefer explicit over implicit)
- Do NOT assume anything not stated or clearly implied
- Be specific and concrete, not vague`,
    input: `Main prompt: ${input.main_prompt}
Liked ${mediaLabel}s: ${input.liked_shows || '(none)'}
Disliked ${mediaLabel}s: ${input.disliked_shows || '(none)'}
Themes and requirements: ${input.themes || '(none)'}${feedbackSection}`,
  });

  return (response.output_parsed as InterpreterOutput) ?? {
    liked: [], disliked: [], themes: [], character_preferences: [], tone: [], avoid: []
  };
}