import fs from "fs";
import OpenAI from "openai";
import prompt from "./prompt.md";
import { prisma } from "@/lib/prisma";

const client = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
  baseURL: process.env.OPENAI_API_BASE_URL,
});

async function transcriptAudio(audio: Buffer | string) {
  if (typeof audio === "string") {
    audio = fs.readFileSync(audio);
  }
  const base64Audio = Buffer.from(audio).toString("base64");
  const response = await client.chat.completions.create({
    model: "gemini-2.5-flash-lite",
    messages: [
      {
        role: "user",
        content: [
          {
            type: "text",
            text: prompt,
          },
          {
            type: "input_audio",
            input_audio: {
              data: base64Audio,
              format: "wav",
            },
          },
        ],
      },
    ],
  });

  console.log(response.choices[0].message.content);
}

async function transcriptAweme(awemeId: string) {
  const aweme = await prisma.video.findUnique({
    where: { aweme_id: awemeId },
  });
  if (!aweme) {
    throw new Error("Aweme not found or aweme is not a video post");
  }
  
}