feat: initialize database schema with essential tables, types, and functions for academic management system

- Created multiple tables including 'asignaturas', 'carreras', 'planes_estudio', and others to manage academic entities. - Defined various ENUM types for categorizing academic roles, task statuses, and notification types. - Implemented triggers and functions for automatic timestamp updates and validation of cycle numbers in subjects. - Established foreign key relationships to maintain data integrity across tables. - Added necessary extensions for enhanced functionality, including 'pgsodium', 'pg_graphql', and 'pg_stat_statements'.
2026-01-16 10:53:32 -06:00
parent 81262d706a
commit e321935286
7 changed files with 4518 additions and 1 deletions
@@ -0,0 +1,136 @@
+// supabase/functions/ai-structured/ai_structured.test.ts
+/// <reference lib="deno.ns" />
+/// <reference lib="dom" />
+/// <reference lib="dom.iterable" />
+
+import { assert, assertEquals } from "jsr:@std/assert@1";
+import "jsr:@std/dotenv/load";
+import { createClient, type SupabaseClient } from "npm:@supabase/supabase-js@2";
+
+const SUPABASE_URL = Deno.env.get("SUPABASE_URL") ?? "";
+const SUPABASE_ANON_KEY = Deno.env.get("SUPABASE_ANON_KEY") ?? ""; // (o PUBLISHABLE_KEY si así lo nombraste)
+const EMAIL = Deno.env.get("TEST_EMAIL") ?? "guillermo.arrieta@lasalle.mx";
+const PASSWORD = Deno.env.get("TEST_PASSWORD") ?? "admin";
+
+const options = {
+  auth: {
+    autoRefreshToken: false,
+    persistSession: false,
+    detectSessionInUrl: false,
+  },
+};
+
+function mustEnv() {
+  if (!SUPABASE_URL) throw new Error("SUPABASE_URL is required");
+  if (!SUPABASE_ANON_KEY) throw new Error("SUPABASE_ANON_KEY is required");
+}
+
+async function getAuthedClient(): Promise<
+  { client: SupabaseClient; accessToken: string }
+> {
+  mustEnv();
+  const client = createClient(SUPABASE_URL, SUPABASE_ANON_KEY, options);
+
+  const { data, error } = await client.auth.signInWithPassword({
+    email: EMAIL,
+    password: PASSWORD,
+  });
+  if (error) throw new Error("Sign-in failed: " + error.message);
+
+  const accessToken = data.session?.access_token;
+  if (!accessToken) {
+    throw new Error("No access_token returned from signInWithPassword");
+  }
+
+  return { client, accessToken };
+}
+
+Deno.test("ai-generate-plan (JSON body)", async () => {
+  const { client, accessToken } = await getAuthedClient();
+
+  // Get any carrera
+  const { data: carrera, error: carreraError } = await client
+    .from("carreras")
+    .select("id").limit(1).single();
+  if (carreraError) {
+    throw new Error("Failed to fetch carrera: " + carreraError.message);
+  }
+  if (!carrera) throw new Error("No carrera found");
+  // datosBasicos (nombrePlan,carreraId,nivel,tipoCiclo,numCiclos)
+  const datosBasicos = {
+    nombrePlan: "Plan de estudios de Ingeniería en Sistemas Computacionales",
+    carreraId: carrera.id,
+    nivel: "Licenciatura",
+    tipoCiclo: "Semestral",
+    numCiclos: 8,
+  };
+
+  const { data, error } = await client.functions.invoke("ai_generate_plan", {
+    headers: {
+      Authorization: `Bearer ${accessToken}`, // 👈 clave para que tu función pase el authHeader check
+    },
+    body: {
+      datosBasicos,
+    },
+  });
+
+  if (error) throw new Error("Invoke failed: " + error.message);
+  assert(data, "Expected data from function");
+
+  // tu función responde { ok, output, outputText, ... }
+  assertEquals(data.ok, true);
+  assert(data.plan);
+  assertEquals(data.output.ideas.length, 3);
+  for (const it of data.output.ideas) {
+    assert(typeof it.titulo === "string");
+    assert(typeof it.descripcion === "string");
+  }
+});
+/*
+Deno.test("ai-structured (multipart + file)", async () => {
+  const { client, accessToken } = await getAuthedClient();
+
+  // Lee un PDF local (ajusta path)
+  const bytes = await Deno.readFile("files/carta.pdf");
+  const file = new File([bytes], "carta.pdf", { type: "application/pdf" });
+
+  const payload = {
+    response: { input: "Resume estos documentos en JSON.", model: "gpt-5" },
+    structured: {
+      type: "json_schema",
+      name: "resumen",
+      strict: true,
+      schema: {
+        type: "object",
+        properties: { resumen: { type: "string" } },
+        required: ["resumen"],
+        additionalProperties: false,
+      },
+    },
+    storage: { prefix: "tmp" },
+  };
+
+  const fd = new FormData();
+  fd.append("payload", JSON.stringify(payload));
+  fd.append("files", file);
+
+  const { data, error } = await client.functions.invoke("ai-structured", {
+    headers: {
+      Authorization: `Bearer ${accessToken}`, // 👈 necesario
+      // NO pongas Content-Type: fetch lo setea con boundary para FormData ✅
+    },
+    method: "POST",
+    body: fd,
+  });
+
+  if (error) throw new Error("Invoke failed: " + error.message);
+  assert(data, "Expected data from function");
+
+  assertEquals(data.ok, true);
+  assert(typeof data.output?.resumen === "string");
+  assert(data.output.resumen.length > 0);
+
+  // opcional: valida que registró upload(s) a storage
+  assert(Array.isArray(data.references?.uploadedToStorage));
+});
+ */