Creación de planes y asignaturas en segundo plano y con webhook de openai #40
@@ -14,7 +14,23 @@
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" export: true,\n",
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"});\n",
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"\n",
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"const openai = new OpenAI();"
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"const openai = new OpenAI();\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "3430f0fd",
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"metadata": {},
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"outputs": [],
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"source": [
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"{\n",
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" const response = await openai.responses.create({\n",
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" model: \"gpt-5-nano\",\n",
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" input: \"Cuál es el sentido de la vida?\",\n",
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" background: true,\n",
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" });\n",
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"}\n"
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]
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},
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{
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@@ -289,7 +305,7 @@
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"source": [
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"const { data: input } = await supabase.from(\"planes_estudio\")\n",
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" .select(\"*, estructuras_plan (definicion)\").limit(1).single();\n",
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"input"
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"input;\n"
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]
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},
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{
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@@ -320,16 +336,22 @@
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" },\n",
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"\n",
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" items: [\n",
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" { type: \"message\", role: \"system\", content: \"En caso de que te pidan algo que no tiene nada que ver con planes de estudio o asignatura responde con un refusal.\" },\n",
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" {\n",
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" type: \"message\",\n",
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" role: \"system\",\n",
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" content:\n",
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" \"En caso de que te pidan algo que no tiene nada que ver con planes de estudio o asignatura responde con un refusal.\",\n",
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" },\n",
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" ],\n",
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"});\n",
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"\n",
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"const {data: conversationPlane} = await supabase.from(\"conversaciones_plan\").insert({\n",
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"const { data: conversationPlane } = await supabase.from(\"conversaciones_plan\")\n",
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" .insert({\n",
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" openai_conversation_id: openaiConversation.id,\n",
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" plan_estudio_id: input.id,\n",
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" }).select(\"id\").single();\n",
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"\n",
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"conversationPlane"
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"conversationPlane;\n"
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]
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},
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{
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@@ -373,14 +395,16 @@
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],
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"source": [
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"// Archivar una conversación\n",
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"const items = await openai.conversations.items.list(conversation.openai_conversation_id);\n",
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"const items = await openai.conversations.items.list(\n",
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" conversation.openai_conversation_id,\n",
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");\n",
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"await supabase.from(\"conversaciones_plan\").update({\n",
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" estado: \"ARCHIVANDO\",\n",
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" conversacion_json: items,\n",
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" openai_conversation_id: null,\n",
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"}).eq(\"id\", conversationPlane.id);\n",
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"\n",
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"await openai.conversations.delete(conversation.openai_conversation_id);"
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"await openai.conversations.delete(conversation.openai_conversation_id);\n"
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]
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},
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{
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@@ -450,10 +474,13 @@
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],
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"source": [
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"// Listar mensajes dado una conversacion_plan.id\n",
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"const { data: conversation } = await supabase.from(\"conversaciones_plan\").select(\"openai_conversation_id\").eq(\"id\", conversationPlane.id).single();\n",
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"const items = await openai.conversations.items.list(conversation.openai_conversation_id);\n",
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"const { data: conversation } = await supabase.from(\"conversaciones_plan\")\n",
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" .select(\"openai_conversation_id\").eq(\"id\", conversationPlane.id).single();\n",
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"const items = await openai.conversations.items.list(\n",
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" conversation.openai_conversation_id,\n",
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");\n",
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"// items.data.filter((item) => item.type === \"message\" && [\"assistant\", \"user\"].includes(item.role))\n",
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"JSON.stringify(items, null, 2)"
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"JSON.stringify(items, null, 2);\n"
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]
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},
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{
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@@ -714,7 +741,7 @@
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"const { data: respuesta, error } = await supabase.functions.invoke(\n",
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" `create-chat-conversation/conversations/${data.conversation_plan.id}/messages`,\n",
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" {\n",
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" method: \"GET\"\n",
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" method: \"GET\",\n",
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" },\n",
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");\n",
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"\n",
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@@ -767,7 +794,7 @@
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}
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],
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"source": [
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"conversationToUpdate.openai_conversation_id"
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"conversationToUpdate.openai_conversation_id;\n"
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]
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},
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{
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@@ -792,7 +819,10 @@
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}
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],
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"source": [
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"await openai.beta.threads.messages.retrieve('msg_057bd8aacc77d01f006994e942d98481938f35bf58dacf126d', {thread_id:conversationToUpdate.openai_conversation_id})"
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"await openai.beta.threads.messages.retrieve(\n",
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" \"msg_057bd8aacc77d01f006994e942d98481938f35bf58dacf126d\",\n",
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" { thread_id: conversationToUpdate.openai_conversation_id },\n",
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");\n"
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]
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},
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{
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@@ -1 +1 @@
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postgresql://postgres.exdkssurzmjnnhgtiama@aws-0-us-west-1.pooler.supabase.com:5432/postgres
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postgresql://postgres.bxkskdxwppdlplrkidcz@aws-1-us-east-2.pooler.supabase.com:5432/postgres
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@@ -1 +1 @@
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15.8.1.085
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17.6.1.063
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@@ -1 +1 @@
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exdkssurzmjnnhgtiama
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bxkskdxwppdlplrkidcz
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@@ -1 +1 @@
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v12.2.3
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v14.1
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@@ -47,3 +47,8 @@ export function sendError(
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},
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);
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}
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export interface ResponseMetadata extends Record<string, string | undefined> {
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tabla?: string;
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accion?: string;
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}
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@@ -1,5 +1,6 @@
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{
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"imports": {
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"@supabase/supabase-js": "npm:@supabase/supabase-js@2",
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"@supabase/functions-js/edge-runtime.d.ts": "jsr:@supabase/functions-js@^2/edge-runtime.d.ts",
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"express": "npm:express@5.2.1",
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"openai": "npm:openai@6.16.0"
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@@ -4,45 +4,99 @@
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// Setup type definitions for built-in Supabase Runtime APIs
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import "@supabase/functions-js/edge-runtime.d.ts";
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import express from "express";
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import OpenAI from "openai";
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import { ResponseMetadata } from "../_shared/utils.ts";
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import { handlePlanesEstudioResponse } from "./planes_estudio/index.ts";
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const app = express();
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console.log("Starting OpenAI webhook responses function");
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const client = new OpenAI({
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webhookSecret: Deno.env.get("OPENAI_WEBHOOK_SECRET"),
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});
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app.use(express.text({ type: "application/json" }));
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app.post("/webhook", async (req: express.Request, res: express.Response) => {
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try {
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const event = await client.webhooks.unwrap(req.body, req.headers);
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if (event.type === "response.completed") {
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async function handleCompletedResponse(
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event: OpenAI.Webhooks.ResponseCompletedWebhookEvent,
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) {
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const response_id = event.data.id;
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const response = await client.responses.retrieve(response_id);
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const metadata = response.metadata as ResponseMetadata | null;
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if (!metadata || !metadata.tabla) {
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console.warn("No se recibió metadata o tabla en la respuesta");
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return;
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}
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switch (metadata.tabla) {
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case "planes_estudio":
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handlePlanesEstudioResponse(response);
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break;
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default:
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console.warn("Tabla no reconocida:", metadata.tabla);
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}
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const output_text = response.output
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.filter((item) => item.type === "message")
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.flatMap((item) => item.content)
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.filter((contentItem) => contentItem.type === "output_text")
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.map((contentItem) => contentItem.text)
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.filter((item: any) => item.type === "message")
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.flatMap((item: any) => item.content)
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.filter((contentItem: any) => contentItem.type === "output_text")
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.map((contentItem: any) => contentItem.text)
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.join("");
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console.log("Response output:", output_text);
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}
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res.status(200).send();
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} catch (error) {
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if (error instanceof OpenAI.InvalidWebhookSignatureError) {
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console.error("Invalid signature", error);
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res.status(400).send("Invalid signature");
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} else {
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throw error;
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}
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}
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});
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Deno.serve(async (req) => {
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console.log("Inicio de openai-webhook-responses");
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const url = new URL(req.url);
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const functionName = url.pathname.split("/").pop();
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console.log(
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`[${new Date().toISOString()}][${functionName}]: Request received`,
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);
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return await app.handle(req);
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// Opcional: Solo permitir POST
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if (req.method !== "POST") {
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return new Response("Method Not Allowed", { status: 405 });
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}
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try {
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// OpenAI requiere el body como texto crudo (string) para verificar la firma criptográfica
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const payload = await req.text();
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// Validar firma y parsear el evento. Deno maneja req.headers compatiblemente
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const event = await client.webhooks.unwrap(payload, req.headers);
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switch (event.type) {
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case "response.completed": {
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EdgeRuntime.waitUntil(handleCompletedResponse(event));
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break;
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}
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case "response.cancelled": {
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console.warn("Response cancelled:", event.data);
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break;
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}
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case "response.failed": {
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console.error("Response failed:", event.data);
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break;
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}
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case "response.incomplete": {
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console.warn("Response incomplete:", event.data);
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break;
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}
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default: {
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throw new Error(`Unhandled event type: ${event.type}`);
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}
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}
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console.log(
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`[${
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new Date().toISOString()
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}][${functionName}]: Request processed successfully`,
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);
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return new Response("OK", { status: 200 });
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} catch (error) {
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if (error instanceof OpenAI.InvalidWebhookSignatureError) {
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console.error("Invalid signature:", error.message);
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return new Response("Invalid signature", { status: 400 });
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} else {
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console.error("Internal Error:", error);
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return new Response("Internal Server Error", { status: 500 });
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}
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}
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});
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@@ -0,0 +1,6 @@
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import type { OpenAI } from "openai";
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import { supabase } from "../supabase.ts";
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import type { TablesUpdate } from "../../_shared/database.types.ts";
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export function handleCrearPlanEstudio(response: OpenAI.Responses.Response) {
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}
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@@ -0,0 +1,26 @@
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import { ResponseMetadata } from "../../_shared/utils.ts";
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import type { OpenAI } from "openai";
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export function handlePlanesEstudioResponse(
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response: OpenAI.Responses.Response,
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) {
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const metadata = response.metadata as ResponseMetadata | null;
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if (!metadata || !metadata.accion) {
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console.warn("No se recibió acción en la metadata");
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return;
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}
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|
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switch (metadata.accion) {
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case "crear":
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// Lógica para crear un plan de estudio
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break;
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case "actualizar":
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// Lógica para actualizar un plan de estudio
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break;
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case "eliminar":
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// Lógica para eliminar un plan de estudio
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break;
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default:
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console.warn("Acción no reconocida:", metadata.accion);
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}
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}
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@@ -0,0 +1,15 @@
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import { createClient } from "@supabase/supabase-js";
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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");
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if (!SUPABASE_URL || !SUPABASE_ANON_KEY) {
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console.warn("Missing Supabase environment variables");
|
||||
}
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||||
|
||||
const supabase = createClient(
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SUPABASE_URL as string,
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SUPABASE_ANON_KEY as string,
|
||||
);
|
||||
|
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export { supabase };
|
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Reference in New Issue
Block a user