genesis-2/supabase/functions/ai-structured/index.ts

// supabase/functions/ai-structured/index.ts
/// <reference lib="deno.window" />
import OpenAI from "npm:openai";
import type * as OpenAITypes from "npm:openai/types/types.js";

import "jsr:@supabase/functions-js/edge-runtime.d.ts";
import { createClient } from "npm:@supabase/supabase-js@2";

const json = (body: unknown, status = 200) =>
  new Response(JSON.stringify(body), {
    status,
    headers: {
      "content-type": "application/json; charset=utf-8",
      "access-control-allow-origin": "*",
      "access-control-allow-headers": "*",
    },
  });

Deno.serve(async (req) => {
  if (req.method === "OPTIONS") return json({ ok: true });
  if (req.method !== "POST") return json({ error: "Method not allowed" }, 405);

  console.log("Received request");

  try {
    const SUPABASE_URL = Deno.env.get("SUPABASE_URL") ?? "";
    const SUPABASE_SERVICE_ROLE_KEY =
      Deno.env.get("SUPABASE_SERVICE_ROLE_KEY") ?? "";
    const SUPABASE_BUCKET = Deno.env.get("SUPABASE_BUCKET") ?? "ai-storage";
    const OPENAI_API_KEY = Deno.env.get("OPENAI_API_KEY") ?? "";

    if (!SUPABASE_URL || !SUPABASE_SERVICE_ROLE_KEY || !OPENAI_API_KEY) {
      return json({ error: "Missing env vars" }, 500);
    }

    console.log("Env vars loaded");

    type InputForm = {
      options: Record<string, unknown> & {
        model: string;
        input: Array<{ role: string; content: unknown }>;
      };
      files: File[];
    };
    const fd = await req.formData();

    // Asume siempre vienen: options, files[]
    const optionsRaw = fd.get("options");

    const input: InputForm = {
      options: typeof optionsRaw === "string"
        ? JSON.parse(optionsRaw)
        : optionsRaw,

      files: fd.getAll("files[]").filter((x): x is File => x instanceof File),
    };
    console.log(`Parsed form data: ${input.files.length} files`);

    const supabase = createClient(SUPABASE_URL, SUPABASE_SERVICE_ROLE_KEY);
    const openai = new OpenAI({ apiKey: OPENAI_API_KEY });

    console.log("Parsed options");

    // 1) Upload a Supabase Storage
    const supabase_paths: string[] = [];
    for (const file of input.files ?? []) {
      const path = `${crypto.randomUUID()}-${file.name}`;
      const { data, error } = await supabase.storage
        .from(SUPABASE_BUCKET)
        .upload(path, file, {
          contentType: file.type || "application/octet-stream",
          upsert: false,
          /* metadata */
        });

      if (error) throw new Error(`Supabase upload failed: ${error.message}`);
      supabase_paths.push(data.path);
    }

    console.log("Uploaded files to Supabase Storage");

    // 2) Upload a OpenAI Files
    const openai_file_ids: string[] = [];
    for (const file of input.files ?? []) {
      const created = await openai.files.create({
        file,
        purpose: "user_data",
      });
      openai_file_ids.push(created.id);
    }

    console.log("Uploaded files to OpenAI Files");

    // 3) Inject file_ids into options.input by appending a new user message
    const fileParts = openai_file_ids.map((id) => ({
      type: "input_file",
      file_id: id,
    }));

    // Asume que SIEMPRE hay input; de todas formas, cae bien si no.
    const inputArr = Array.isArray(input.options?.input as Array<unknown>)
      ? input.options.input
      : [];

    inputArr.push({
      role: "user",
      content: [
        ...fileParts,
        { type: "input_text", text: "usa estos archivos como referencia" },
      ],
    });

    input.options.input = inputArr;

    console.log("Prepared OpenAI options with file references");

    // 4) Call Responses API
    const openai_raw = await openai.responses.create(input.options);

    console.log("Received response from OpenAI Responses API");

    type SuccessResponse = {
      ok: true;
      openai_raw: unknown;
      supabase_paths: string[];
      openai_file_ids: string[];
      options: unknown;
    };

    const response: SuccessResponse = {
      ok: true,
      openai_raw, // cruda
      supabase_paths, // rutas en el bucket
      openai_file_ids, // IDs en OpenAI
      options: input.options, // opciones usadas
    };

    return json(response);
  } catch (e) {
    return json(
      {
        ok: false,

        error: e?.message ?? String(e),
        // si fue Zod, normalmente trae detalles en `issues`
        issues: (e as any)?.issues,
      },
      400,
    );
  }
});