Versión funcional de creación de plan de estudios con IA

This commit is contained in:
2026-01-20 17:03:13 -06:00
parent 4a6ef4b09d
commit 63d6fefa96
7 changed files with 1763 additions and 269 deletions
+62 -63
View File
@@ -6,10 +6,17 @@
import "jsr:@supabase/functions-js/edge-runtime.d.ts";
import { corsHeaders } from "../_shared/cors.ts";
import { createClient } from "npm:@supabase/supabase-js@2";
import type { Database, Json } from "../_shared/database.types.ts";
import type { AIGeneratePlanInput } from "./types.ts";
import { z } from "zod";
import { systemPrompt } from "./prompts.ts";
import { strict } from "node:assert";
import { OpenAIService } from "../_shared/openai-service.ts";
import type { StructuredResponseOptions } from "../_shared/openai-service.ts";
// Typed aliases for strict field unions
type NivelType =
Database["public"]["Tables"]["planes_estudio"]["Insert"]["nivel"];
type TipoCicloType =
Database["public"]["Tables"]["planes_estudio"]["Insert"]["tipo_ciclo"];
Deno.serve(async (req) => {
if (req.method === "OPTIONS") {
@@ -74,30 +81,22 @@ Deno.serve(async (req) => {
throw new Error("Supabase environment variables are not set");
}
const supabaseAnon = createClient(SUPABASE_URL, SUPABASE_ANON_KEY, {
global: {
headers: {
Authorization: authHeaderRaw,
},
},
});
// TODO: quitar hardcode de usuario
const { data: user, error: userError } = await supabaseAnon.auth
.signInWithPassword({
email: "guillermo.arrieta@lasalle.mx",
password: "admin",
});
if (userError) {
throw new Error("Error authenticating user: " + userError.message);
}
// If needed for RLS-protected reads, create an anon client with user's JWT
// Currently not used; kept here for future expansion.
// const supabaseAnon = createClient(SUPABASE_URL, SUPABASE_ANON_KEY, {
// global: {
// headers: {
// Authorization: authHeaderRaw,
// },
// },
// });
const SERVICE_ROLE_KEY = Deno.env.get("SUPABASE_SERVICE_ROLE_KEY");
if (!SERVICE_ROLE_KEY) {
throw new Error("SUPABASE_SERVICE_ROLE_KEY is not set");
}
const supabaseService = createClient(
const supabaseService = createClient<Database>(
SUPABASE_URL,
SERVICE_ROLE_KEY,
);
@@ -136,7 +135,14 @@ Deno.serve(async (req) => {
`Genera un borrador completo del PLAN DE ESTUDIOS con base en lo siguiente:
- Descripción del enfoque: ${payload.iaConfig.descripcionEnfoque}
- Notas adicionales: ${payload.iaConfig.notasAdicionales ?? "Ninguna"}`;
const aiStructuredPayload = {
// Ensure the JSON schema is an object as required by OpenAI types
const schemaDef: Record<string, unknown> =
typeof estructuraPlan?.definicion === "object" &&
estructuraPlan?.definicion !== null
? estructuraPlan.definicion as Record<string, unknown>
: {};
const aiStructuredPayload: StructuredResponseOptions = {
model: "gpt-5-mini",
input: [
{ role: "system", content: systemPrompt },
@@ -146,39 +152,34 @@ Deno.serve(async (req) => {
format: {
type: "json_schema",
name: "plan_de_estudios_standard",
schema: estructuraPlan?.definicion,
schema: schemaDef,
strict: true,
},
},
};
const aiStructuredFormData = new FormData();
aiStructuredFormData.append("options", JSON.stringify(aiStructuredPayload));
for (const file of payload.archivosAdjuntos ?? []) {
aiStructuredFormData.append("files", file);
// Use shared OpenAI service directly (no HTTP invoke)
const svc = OpenAIService.fromEnv();
if (!(svc instanceof OpenAIService)) {
throw new Error(`OpenAI service misconfiguration: ${svc.message}`);
}
const { data: aiJson, error } = await supabaseService.functions.invoke(
"ai-structured",
{
headers: {
Authorization: `Bearer ${user.session?.access_token}`,
},
method: "POST",
body: aiStructuredFormData,
},
const aiResult = await svc.createStructuredResponse(
aiStructuredPayload,
payload.archivosAdjuntos,
);
if (error) {
if (!aiResult.ok) {
throw new Error(
"ai-structured invocation failed: " + error.message,
`OpenAI call failed [${aiResult.code}]: ${aiResult.message}`,
);
}
if (!aiJson || !aiJson.ok) {
throw new Error(
"ai-structured returned an error or no data",
);
// Prefer parsed output; fallback to parse outputText
const aiOutput = aiResult.output ??
(aiResult.outputText ? JSON.parse(aiResult.outputText) : null);
const aiOutputJson: Json = aiOutput as unknown as Json;
if (!aiOutput) {
throw new Error("OpenAI response did not contain structured output");
}
// TODO: Insertar interacciones con IA y quizas forzar a que la informacion de datosBasicos sea la misma que la recibida
@@ -200,43 +201,41 @@ Deno.serve(async (req) => {
throw new Error("Error fetching carrera: " + carreraError.message);
}
const { data: plan, error: planError } = await supabaseService
.from("planes_estudio")
.insert({
carrera_id: carrera?.id,
estructura_id: estructuraPlan?.id,
const planInsert: Database["public"]["Tables"]["planes_estudio"]["Insert"] =
{
carrera_id: carrera?.id as string,
estructura_id: estructuraPlan?.id as string,
nombre: payload.datosBasicos.nombrePlan,
nivel: payload.datosBasicos.nivel,
tipo_ciclo: payload.datosBasicos.tipoCiclo,
nivel: payload.datosBasicos.nivel as NivelType,
tipo_ciclo: payload.datosBasicos.tipoCiclo as TipoCicloType,
numero_ciclos: payload.datosBasicos.numCiclos,
datos: aiJson.output,
estado_actual_id: estado?.id,
datos: aiOutputJson,
estado_actual_id: estado?.id ?? undefined,
activo: true,
tipo_origen: "IA",
meta_origen: {
generado_por: "ai_generate_plan",
ai_structured: {
cid: aiJson?.cid ?? null,
responseId: aiJson?.responseId ?? null,
conversationId: aiJson?.conversationId ?? null,
model: aiJson?.model,
usage: aiJson?.usage ?? null,
responseId: aiResult.responseId ?? null,
conversationId: aiResult.conversationId ?? null,
model: aiResult.model,
usage: aiResult.usage ?? null,
},
referencias: {
archivosReferenciaIds: payload.iaConfig?.archivosReferencia ?? null,
repositoriosIds: payload.iaConfig?.repositoriosIds ?? null,
// openaiFileIds,
// vectorStoreIds,
},
iaConfig: {
descripcionEnfoque: payload.iaConfig?.descripcionEnfoque ?? null,
notasAdicionales: payload.iaConfig?.notasAdicionales ?? null,
usarMCP: Boolean(payload.iaConfig?.usarMCP),
},
},
// creado_por: user.id,
// actualizado_por: user.id,
})
} as unknown as Json,
};
const { data: plan, error: planError } = await supabaseService
.from("planes_estudio")
.insert(planInsert)
.select(
"id,nombre,nivel,tipo_ciclo,numero_ciclos,carrera_id,estructura_id,estado_actual_id,activo,tipo_origen,meta_origen,creado_por,actualizado_por,creado_en,actualizado_en,datos",
)
@@ -246,7 +245,7 @@ Deno.serve(async (req) => {
throw new Error("Error inserting plan: " + planError.message);
}
// TODO: update a interaccion_ia y e insert a cambios_plancon id de plan generado
// TODO: update a interaccion_ia y e insert a cambios_plan con id de plan generado
const jsonResponse = {
ok: true,
plan,
@@ -283,7 +282,7 @@ const jsonFromString = <T extends z.ZodTypeAny>(schema: T) =>
z.string().transform((str, ctx) => {
try {
return JSON.parse(str);
} catch (e) {
} catch (_e) {
ctx.addIssue({
code: z.ZodIssueCode.custom,
message: "El formato no es un JSON válido",