Versión funcional de creación de plan de estudios con IA

supabase/functions/ai-structured/index.ts

@@ -1,10 +1,5 @@
-// supabase/functions/ai-structured/index.ts
-/// <reference lib="deno.window" />
-import OpenAI from "openai";
-import type * as OpenAITypes from "openai";
-
+// Function deprecated. This endpoint was replaced by shared module `_shared/openai-service.ts`.
 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), {
@@ -16,151 +11,14 @@ const json = (body: unknown, status = 200) =>
     },
   });
 
-Deno.serve(async (req) => {
+Deno.serve((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,
-      );
-    }
-  }
+  return json(
+    {
+      ok: false,
+      error:
+        "This endpoint is deprecated. Use the shared module _shared/openai-service.ts from your functions.",
+    },
+    410,
+  );
 });