Update dependencies in deno.lock and add tests for ai-structured function
This commit is contained in:
@@ -2,6 +2,9 @@
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"version": "5",
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"specifiers": {
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"jsr:@openai/openai@*": "6.16.0",
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"jsr:@std/assert@1": "1.0.16",
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"jsr:@std/dotenv@*": "0.225.6",
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"jsr:@std/internal@^1.0.12": "1.0.12",
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"jsr:@supabase/functions-js@*": "2.90.1",
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"npm:@supabase/supabase-js@^2.90.1": "2.90.1",
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"npm:@types/bun@^1.3.5": "1.3.5",
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@@ -13,6 +16,18 @@
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"@openai/openai@6.16.0": {
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"integrity": "ccee548f61c382d715091fff0c2c3390a4487823644430b8235df543d6d6a78b"
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},
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"@std/assert@1.0.16": {
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"integrity": "6a7272ed1eaa77defe76e5ff63ca705d9c495077e2d5fd0126d2b53fc5bd6532",
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"dependencies": [
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"jsr:@std/internal"
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]
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},
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"@std/dotenv@0.225.6": {
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"integrity": "1d6f9db72f565bd26790fa034c26e45ecb260b5245417be76c2279e5734c421b"
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},
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"@std/internal@1.0.12": {
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"integrity": "972a634fd5bc34b242024402972cd5143eac68d8dffaca5eaa4dba30ce17b027"
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},
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"@supabase/functions-js@2.90.1": {
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"integrity": "9a077ecf42aa84594ef3aac621d643e15ffaa9506a4c051e35c93f127ffdb035"
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}
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@@ -0,0 +1,146 @@
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// supabase/functions/ai-structured/ai_structured.test.ts
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/// <reference lib="deno.ns" />
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/// <reference lib="dom" />
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/// <reference lib="dom.iterable" />
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import { assert, assertEquals } from "jsr:@std/assert@1";
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import "jsr:@std/dotenv/load";
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import { createClient, type SupabaseClient } from "npm:@supabase/supabase-js@2";
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const SUPABASE_URL = Deno.env.get("SUPABASE_URL") ?? "";
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const SUPABASE_ANON_KEY = Deno.env.get("SUPABASE_ANON_KEY") ?? ""; // (o PUBLISHABLE_KEY si así lo nombraste)
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const EMAIL = Deno.env.get("TEST_EMAIL") ?? "guillermo.arrieta@lasalle.mx";
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const PASSWORD = Deno.env.get("TEST_PASSWORD") ?? "admin";
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const options = {
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auth: {
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autoRefreshToken: false,
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persistSession: false,
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detectSessionInUrl: false,
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},
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};
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function mustEnv() {
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if (!SUPABASE_URL) throw new Error("SUPABASE_URL is required");
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if (!SUPABASE_ANON_KEY) throw new Error("SUPABASE_ANON_KEY is required");
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}
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async function getAuthedClient(): Promise<{ client: SupabaseClient; accessToken: string }> {
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mustEnv();
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const client = createClient(SUPABASE_URL, SUPABASE_ANON_KEY, options);
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const { data, error } = await client.auth.signInWithPassword({
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email: EMAIL,
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password: PASSWORD,
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});
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if (error) throw new Error("Sign-in failed: " + error.message);
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const accessToken = data.session?.access_token;
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if (!accessToken) throw new Error("No access_token returned from signInWithPassword");
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return { client, accessToken };
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}
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Deno.test("ai-structured (JSON body)", async () => {
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const { client, accessToken } = await getAuthedClient();
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const { data, error } = await client.functions.invoke("ai-structured", {
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headers: {
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Authorization: `Bearer ${accessToken}`, // 👈 clave para que tu función pase el authHeader check
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},
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body: {
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response: {
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model: "gpt-5",
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input: [
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{ role: "system", content: "Responde SIEMPRE en JSON válido." },
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{ role: "user", content: "Dame 3 ideas de proyecto de IA para educación." },
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],
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},
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structured: {
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type: "json_schema",
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name: "ideas",
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strict: true,
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schema: {
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type: "object",
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properties: {
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ideas: {
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type: "array",
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items: {
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type: "object",
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properties: {
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titulo: { type: "string" },
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descripcion: { type: "string" },
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},
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required: ["titulo", "descripcion"],
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additionalProperties: false,
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},
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},
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},
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required: ["ideas"],
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additionalProperties: false,
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},
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},
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references: {},
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usarMCP: false,
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},
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});
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if (error) throw new Error("Invoke failed: " + error.message);
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assert(data, "Expected data from function");
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// tu función responde { ok, output, outputText, ... }
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assertEquals(data.ok, true);
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assert(Array.isArray(data.output?.ideas), "output.ideas should be an array");
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assertEquals(data.output.ideas.length, 3);
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for (const it of data.output.ideas) {
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assert(typeof it.titulo === "string");
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assert(typeof it.descripcion === "string");
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}
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});
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Deno.test("ai-structured (multipart + file)", async () => {
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const { client, accessToken } = await getAuthedClient();
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// Lee un PDF local (ajusta path)
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const bytes = await Deno.readFile("files/carta.pdf");
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const file = new File([bytes], "carta.pdf", { type: "application/pdf" });
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const payload = {
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response: { input: "Resume estos documentos en JSON.", model: "gpt-5" },
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structured: {
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type: "json_schema",
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name: "resumen",
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strict: true,
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schema: {
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type: "object",
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properties: { resumen: { type: "string" } },
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required: ["resumen"],
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additionalProperties: false,
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},
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},
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storage: { prefix: "tmp" },
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};
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const fd = new FormData();
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fd.append("payload", JSON.stringify(payload));
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fd.append("files", file);
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const { data, error } = await client.functions.invoke("ai-structured", {
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headers: {
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Authorization: `Bearer ${accessToken}`, // 👈 necesario
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// NO pongas Content-Type: fetch lo setea con boundary para FormData ✅
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},
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method: "POST",
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body: fd,
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});
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if (error) throw new Error("Invoke failed: " + error.message);
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assert(data, "Expected data from function");
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assertEquals(data.ok, true);
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assert(typeof data.output?.resumen === "string");
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assert(data.output.resumen.length > 0);
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// opcional: valida que registró upload(s) a storage
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assert(Array.isArray(data.references?.uploadedToStorage));
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});
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@@ -1,25 +0,0 @@
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import { supabase } from "./new-user";
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const file = Bun.file("files/carta.pdf");
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await supabase.auth.signInWithPassword({
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email: "guillermo.arrieta@lasalle.mx",
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password: "admin",
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});
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const fd = new FormData();
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fd.append("payload", JSON.stringify({
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response: { input: "Resume estos documentos en JSON.", model: "gpt-5" },
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structured: { type: "json_schema", name: "resumen", strict: true, schema: {
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type: "object", properties: { resumen: { type: "string" } }, required: ["resumen"], additionalProperties: false
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} },
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storage: { prefix: "tmp" },
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}));
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fd.append("files", file);
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const response = await supabase.functions.invoke("ai-structured", {
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method: "POST",
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body: fd,
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});
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console.log({ d: response.data, e: response.error });
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@@ -1,64 +0,0 @@
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import { supabase } from "./new-user";
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const /* { data, error } */_ = await supabase.auth.signInWithPassword({
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email: "guillermo.arrieta@lasalle.mx",
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password: "admin",
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});
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/* if (error) {
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console.error("Error signing in:", error);
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process.exit(1);
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} else {
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console.log("Successfully signed in:", data);
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} */
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try {
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const response = await supabase.functions.invoke("ai-structured", {
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body: {
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response: {
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model: "gpt-5",
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input: [
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{ role: "system", content: "Responde SIEMPRE en JSON válido." },
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{ role: "user", content: "Dame 3 ideas de proyecto de IA para educación." },
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],
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/* conversation: "conv_...", */ // opcional
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},
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structured: {
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type: "json_schema",
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name: "ideas",
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strict: true,
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schema: {
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type: "object",
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properties: {
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ideas: {
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type: "array",
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items: {
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type: "object",
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properties: {
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titulo: { type: "string" },
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descripcion: { type: "string" }
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},
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required: ["titulo", "descripcion"],
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additionalProperties: false
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}
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}
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},
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required: ["ideas"],
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additionalProperties: false
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}
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},
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references: {
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/* vectorStoreIds: ["vs_..."], */ // opcional (file_search) ✅
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/* openaiFileIds: ["file_..."], */ // opcional (input_file) ✅
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},
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usarMCP: false, // opcional ✅
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},
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});
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console.log({ d: response.data, e: response.error });
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} catch (e: any) {
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const res = e?.context ?? e?.response;
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console.log("status", res?.status);
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if (res?.text) console.log("text", await res.text());
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else console.log("raw error keys", Object.keys(e ?? {}));
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}
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@@ -1,12 +0,0 @@
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import { createClient } from '@supabase/supabase-js'
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export const supabase = createClient(Bun.env.SUPABASE_URL ?? '', Bun.env.SUPABASE_ANON_KEY ?? '')
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/* try {
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const { data, error } = await supabase.auth.signUp({
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email: 'guillermo.arrieta@lasalle.mx',
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password: 'sadfasdfsadfdsasadfsad',
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})
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console.log({ data, error })
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} catch (error) {
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console.log({ error })
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} */
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