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

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

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: OpenAITypes.OpenAI.Responses.ResponseCreateParams;
      files: File[];
    };
    const fd = await req.formData();

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

    const inputForm: 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: ${inputForm.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 inputForm.files ?? []) {
      const safeName = file.name
        .normalize("NFD") // 1. Descompone letras de tildes (í -> i + ´)
        .replace(/[\u0300-\u036f]/g, "") // 2. Borra las tildes
        .replace(/[^a-zA-Z0-9.-]/g, "_"); // 3. Reemplaza espacios y símbolos raros por "_"
      const path = `${crypto.randomUUID()}-${safeName}`;
      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 inputForm.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: OpenAITypes.OpenAI.Responses.ResponseInputFile[] =
      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(inputForm.options?.input)
      ? inputForm.options.input
      : [];

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

    inputForm.options.input = inputArr;

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

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

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

    type SuccessResponse = {
      ok: true;
      openai_raw: OpenAITypes.OpenAI.Responses.Response;
      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: inputForm.options, // opciones usadas
    };
    response.openai_raw.output.

    return json(response);
  } catch (e) {
    if (e instanceof Error) {
      console.error("Error occurred:", e.message);
      return json(
        {
          ok: false,

          error: e?.message ?? String(e),
          // si fue Zod, normalmente trae detalles en `issues`
          issues: (e as any)?.issues,
        },
        400,
      );
    } else {
      console.error("Unknown error occurred:", e);
      return json(
        {
          ok: false,
          error: "An unknown error occurred",
        },
        500,
      );
    }
  }
});