{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a9a99d9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import { load } from \"jsr:@std/dotenv\";\n",
    "import OpenAI from \"jsr:@openai/openai\";\n",
    "\n",
    "const env = await load({\n",
    "    export: true,\n",
    "});\n",
    "\n",
    "const openai = new OpenAI();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "89b3fffb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import { createClient } from \"@supabase/supabase-js\";\n",
    "const supabaseUrl = Deno.env.get(\"SUPABASE_URL\") || env.SUPABASE_URL;\n",
    "const supabaseKey = Deno.env.get(\"SUPABASE_ANON_KEY\") || env.SUPABASE_ANON_KEY;\n",
    "const supabase = createClient(supabaseUrl, supabaseKey);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "33290880",
   "metadata": {},
   "outputs": [],
   "source": [
    "// Create a conversation for a plan de estudio\n",
    "\n",
    "const { data: input } = await supabase.from(\"planes_estudio\").limit(1).select(\"id\").single();\n",
    "const openaiConversation = await openai.conversations.create({\n",
    "    metadata: {\n",
    "        \"tabla\": \"planes_estudio\",\n",
    "        \"id\": input.id,\n",
    "\n",
    "        instanciador: \"alex\",\n",
    "    },\n",
    "\n",
    "    items: [\n",
    "        { 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",
    "    ],\n",
    "});\n",
    "\n",
    "const conversationPlane = await supabase.from(\"conversation_planes_estudio\").insert({\n",
    "    conversation_id: openaiConversation.id,\n",
    "    plan_estudio_id: input.id,\n",
    "}).select(\"id\").single();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f726b80e",
   "metadata": {},
   "outputs": [],
   "source": [
    "// Archivar una conversación\n",
    "const { data: conversation } = await supabase.from(\"conversation_planes_estudio\").limit(1).select(\"conversation_id\").single();\n",
    "\n",
    "const items = await openai.conversations.items(conversation.conversation_id);\n",
    "await supabase.from(\"conversation_planes_estudio\").update({\n",
    "    estado: \"ARCHIVANDO\",\n",
    "    conversation_json: items,\n",
    "}).eq(\"id\", conversationPlane.id);\n",
    "\n",
    "await openai.conversations.delete(conversation.conversation_id);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cfae6e48",
   "metadata": {},
   "outputs": [],
   "source": [
    "// Listar conversaciones dadas de un plan de estudio\n",
    "const { data: conversations } = await supabase.from(\"conversation_planes_estudio\").select(\"*\").eq(\"plan_estudio_id\", input.id);\n",
    "conversations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "83e060ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "// Add a message to the conversation\n",
    "const { data: conversationToUpdate } = await supabase.from(\n",
    "    \"conversation_planes_estudio\",\n",
    ").eq(\"id\", conversationPlane.id)\n",
    "    .select(\"conversation_id\").single();\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Deno",
   "language": "typescript",
   "name": "deno"
  },
  "language_info": {
   "codemirror_mode": "typescript",
   "file_extension": ".ts",
   "mimetype": "text/x.typescript",
   "name": "typescript",
   "nbconvert_exporter": "script",
   "pygments_lexer": "typescript",
   "version": "5.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}