alexrg/genesis-2
1
0
Fork 0
Code Issues 6 Pull Requests Actions Wiki Activity

Merge branch 'main' of https://github.lci.ulsa.mx/AlexRG/genesis-2
Deploy Function / deploy (push) Failing after 15s
Details
Deploy Migrations to Production / deploy (push) Failing after 9s
Details

Browse Source
This commit is contained in:
Alejandro Rosales
2026-03-02 14:11:19 -06:00
parent 606db3362c d7312d2ab3
commit 99a6e28f42
31 changed files with 5994 additions and 1353 deletions
Download Patch File Download Diff File Expand all files Collapse all files
notebooks/background-openai.ipynb
+563 -401
View File
@@ -1,415 +1,577 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "bb61ec88",
"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": 2,
"id": "8baca5f2",
"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": 7,
"id": "26b3bb36",
"metadata": {},
"outputs": [],
"source": [
"// plan Crear un plan en la base (sin datos) estado generando\n",
"const { data: plan, error } = await supabase.from(\"planes_estudio\").insert({\n",
" \"carrera_id\": \"8208da08-d549-4359-8865-9d806bc54f19\",\n",
" \"estructura_id\": \"69fb2b77-5a95-47e0-bf1f-389d384200e4\",\n",
" \"estado_actual_id\": \"18f49b67-8077-4371-be6e-2019a3be3562\",\n",
" \"nombre\": \"Ingeniearía en Cifbernética y Ciberseguridad (2025)\",\n",
" \"nivel\": \"Doctorado\",\n",
" \"tipo_ciclo\": \"Semestre\",\n",
" \"numero_ciclos\": 8,\n",
" \"activo\": true,\n",
" \"tipo_origen\": \"IA\",\n",
" \"creado_por\": \"11111111-1111-1111-1111-111111111111\",\n",
" \"actualizado_por\": \"11111111-1111-1111-1111-111111111111\",\n",
"}).select(\"*\").single();\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "8abb080e",
"metadata": {},
"outputs": [
"cells": [
{
"data": {
"text/plain": [
"{\n",
" message: \u001b[32m\"TypeError: error sending request for url (http://127.0.0.1:54321/rest/v1/planes_estudio?select=*): client error (Connect): tcp connect error: No se puede establecer una conexión ya que el equipo de destino denegó expresamente dicha conexión. (os error 10061)\"\u001b[39m,\n",
" details: \u001b[32m\"TypeError: error sending request for url (http://127.0.0.1:54321/rest/v1/planes_estudio?select=*): client error (Connect): tcp connect error: No se puede establecer una conexión ya que el equipo de destino denegó expresamente dicha conexión. (os error 10061)\\n\"\u001b[39m +\n",
" \u001b[32m\" at async mainFetch (ext:deno_fetch/26_fetch.js:192:12)\\n\"\u001b[39m +\n",
" \u001b[32m\" at async fetch (ext:deno_fetch/26_fetch.js:475:11)\\n\"\u001b[39m +\n",
" \u001b[32m\" at async <anonymous>:2:31\"\u001b[39m,\n",
" hint: \u001b[32m\"\"\u001b[39m,\n",
" code: \u001b[32m\"\"\u001b[39m\n",
"}"
"cell_type": "code",
"execution_count": 1,
"id": "bb61ec88",
"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();\n"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"error"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "a382bdc6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{\n",
" id: \u001b[32m\"resp_0ae72cbd0894279200699c8e42941c8192ba4a09e280b21a17\"\u001b[39m,\n",
" object: \u001b[32m\"response\"\u001b[39m,\n",
" created_at: \u001b[33m1771867714\u001b[39m,\n",
" status: \u001b[32m\"queued\"\u001b[39m,\n",
" background: \u001b[33mtrue\u001b[39m,\n",
" completed_at: \u001b[1mnull\u001b[22m,\n",
" error: \u001b[1mnull\u001b[22m,\n",
" frequency_penalty: \u001b[33m0\u001b[39m,\n",
" incomplete_details: \u001b[1mnull\u001b[22m,\n",
" instructions: \u001b[1mnull\u001b[22m,\n",
" max_output_tokens: \u001b[1mnull\u001b[22m,\n",
" max_tool_calls: \u001b[1mnull\u001b[22m,\n",
" model: \u001b[32m\"gpt-5-mini-2025-08-07\"\u001b[39m,\n",
" output: [],\n",
" parallel_tool_calls: \u001b[33mtrue\u001b[39m,\n",
" presence_penalty: \u001b[33m0\u001b[39m,\n",
" previous_response_id: \u001b[1mnull\u001b[22m,\n",
" prompt_cache_key: \u001b[1mnull\u001b[22m,\n",
" prompt_cache_retention: \u001b[1mnull\u001b[22m,\n",
" reasoning: { effort: \u001b[32m\"medium\"\u001b[39m, summary: \u001b[1mnull\u001b[22m },\n",
" safety_identifier: \u001b[1mnull\u001b[22m,\n",
" service_tier: \u001b[32m\"auto\"\u001b[39m,\n",
" store: \u001b[33mtrue\u001b[39m,\n",
" temperature: \u001b[33m1\u001b[39m,\n",
" text: {\n",
" format: {\n",
" type: \u001b[32m\"json_schema\"\u001b[39m,\n",
" description: \u001b[1mnull\u001b[22m,\n",
" name: \u001b[32m\"response_schema\"\u001b[39m,\n",
" schema: {\n",
" type: \u001b[32m\"object\"\u001b[39m,\n",
" properties: { \u001b[32m\"ai-message\"\u001b[39m: \u001b[36m[Object]\u001b[39m, \u001b[32m\"suggested-topic\"\u001b[39m: \u001b[36m[Object]\u001b[39m },\n",
" required: [ \u001b[32m\"ai-message\"\u001b[39m, \u001b[32m\"suggested-topic\"\u001b[39m ],\n",
" additionalProperties: \u001b[33mfalse\u001b[39m\n",
" },\n",
" strict: \u001b[33mtrue\u001b[39m\n",
" },\n",
" verbosity: \u001b[32m\"medium\"\u001b[39m\n",
" },\n",
" tool_choice: \u001b[32m\"auto\"\u001b[39m,\n",
" tools: [],\n",
" top_logprobs: \u001b[33m0\u001b[39m,\n",
" top_p: \u001b[33m1\u001b[39m,\n",
" truncation: \u001b[32m\"disabled\"\u001b[39m,\n",
" usage: \u001b[1mnull\u001b[22m,\n",
" user: \u001b[1mnull\u001b[22m,\n",
" metadata: { tabla: \u001b[32m\"planes_estudio\"\u001b[39m, id: \u001b[32m\"2\"\u001b[39m },\n",
" output_text: \u001b[32m\"\"\u001b[39m\n",
"}"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"let response = await openai.responses.create({\n",
" model: \"gpt-5-mini\",\n",
" input: \"Hola mundo\",\n",
" metadata: {\n",
" tabla: \"planes_estudio\",\n",
" id: '2',\n",
" },\n",
" text: {\n",
" format: {\n",
" type: \"json_schema\",\n",
" name: \"response_schema\",\n",
" schema: {\n",
" type: \"object\",\n",
" properties: {\n",
" \"ai-message\": {\n",
" type: \"string\",\n",
" description:\n",
" \"Un mensaje de texto que la IA generará para el usuario final. Este mensaje debe ser claro y directo, proporcionando la información solicitada por el usuario o indicando que no se puede procesar la solicitud si no está relacionada con planes de estudio o asignaturas.\",\n",
" },\n",
" \"suggested-topic\": {\n",
" type: \"string\",\n",
" description:\n",
" \"Un tema de investigación sugerido por la IA que sea relevante para el plan de estudio o asignatura mencionada en la solicitud del usuario. Este tema debe ser específico y relacionado con el área de estudio correspondiente.\",\n",
" },\n",
" },\n",
" required: [\"ai-message\", \"suggested-topic\"],\n",
" additionalProperties: false,\n",
" },\n",
" },\n",
" },\n",
" background: true,\n",
"});\n",
"\n",
"response;\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "6b2470ed",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Current status: queued\n",
"Current status: in_progress\n",
"Current status: in_progress\n"
]
},
{
"data": {
"text/plain": [
"{\n",
" id: \u001b[32m\"resp_0ae72cbd0894279200699c8e42941c8192ba4a09e280b21a17\"\u001b[39m,\n",
" object: \u001b[32m\"response\"\u001b[39m,\n",
" created_at: \u001b[33m1771867714\u001b[39m,\n",
" status: \u001b[32m\"completed\"\u001b[39m,\n",
" background: \u001b[33mtrue\u001b[39m,\n",
" billing: { payer: \u001b[32m\"developer\"\u001b[39m },\n",
" completed_at: \u001b[33m1771867721\u001b[39m,\n",
" error: \u001b[1mnull\u001b[22m,\n",
" frequency_penalty: \u001b[33m0\u001b[39m,\n",
" incomplete_details: \u001b[1mnull\u001b[22m,\n",
" instructions: \u001b[1mnull\u001b[22m,\n",
" max_output_tokens: \u001b[1mnull\u001b[22m,\n",
" max_tool_calls: \u001b[1mnull\u001b[22m,\n",
" model: \u001b[32m\"gpt-5-mini-2025-08-07\"\u001b[39m,\n",
" output: [\n",
" {\n",
" id: \u001b[32m\"rs_0ae72cbd0894279200699c8e43cd4c8192bcbc70792b6aa621\"\u001b[39m,\n",
" type: \u001b[32m\"reasoning\"\u001b[39m,\n",
" summary: []\n",
" },\n",
" {\n",
" id: \u001b[32m\"msg_0ae72cbd0894279200699c8e48976481928e1f205210636717\"\u001b[39m,\n",
" type: \u001b[32m\"message\"\u001b[39m,\n",
" status: \u001b[32m\"completed\"\u001b[39m,\n",
" content: [\n",
" {\n",
" type: \u001b[32m\"output_text\"\u001b[39m,\n",
" annotations: [],\n",
" logprobs: [],\n",
" text: \u001b[32m'{\"ai-message\":\"¡Hola! ¿En qué puedo ayudarte hoy? Puedo mostrar ejemplos de \\\\\"Hola mundo\\\\\" en distintos lenguajes, explicar conceptos de programación, ayudar con una tarea o sugerir recursos. Dime qué prefieres.\",\"suggested-topic\":\"El papel del programa \\\\\"Hola Mundo\\\\\" en la enseñanza de la programación: comparación práctica entre Python, Java y C (sintaxis, tiempo de arranque, facilidad de aprendizaje y percepción del estudiante).\"}'\u001b[39m\n",
" }\n",
" ],\n",
" role: \u001b[32m\"assistant\"\u001b[39m\n",
" }\n",
" ],\n",
" parallel_tool_calls: \u001b[33mtrue\u001b[39m,\n",
" presence_penalty: \u001b[33m0\u001b[39m,\n",
" previous_response_id: \u001b[1mnull\u001b[22m,\n",
" prompt_cache_key: \u001b[1mnull\u001b[22m,\n",
" prompt_cache_retention: \u001b[1mnull\u001b[22m,\n",
" reasoning: { effort: \u001b[32m\"medium\"\u001b[39m, summary: \u001b[1mnull\u001b[22m },\n",
" safety_identifier: \u001b[1mnull\u001b[22m,\n",
" service_tier: \u001b[32m\"default\"\u001b[39m,\n",
" store: \u001b[33mtrue\u001b[39m,\n",
" temperature: \u001b[33m1\u001b[39m,\n",
" text: {\n",
" format: {\n",
" type: \u001b[32m\"json_schema\"\u001b[39m,\n",
" description: \u001b[1mnull\u001b[22m,\n",
" name: \u001b[32m\"response_schema\"\u001b[39m,\n",
" schema: {\n",
" type: \u001b[32m\"object\"\u001b[39m,\n",
" properties: { \u001b[32m\"ai-message\"\u001b[39m: \u001b[36m[Object]\u001b[39m, \u001b[32m\"suggested-topic\"\u001b[39m: \u001b[36m[Object]\u001b[39m },\n",
" required: [ \u001b[32m\"ai-message\"\u001b[39m, \u001b[32m\"suggested-topic\"\u001b[39m ],\n",
" additionalProperties: \u001b[33mfalse\u001b[39m\n",
" },\n",
" strict: \u001b[33mtrue\u001b[39m\n",
" },\n",
" verbosity: \u001b[32m\"medium\"\u001b[39m\n",
" },\n",
" tool_choice: \u001b[32m\"auto\"\u001b[39m,\n",
" tools: [],\n",
" top_logprobs: \u001b[33m0\u001b[39m,\n",
" top_p: \u001b[33m1\u001b[39m,\n",
" truncation: \u001b[32m\"disabled\"\u001b[39m,\n",
" usage: {\n",
" input_tokens: \u001b[33m167\u001b[39m,\n",
" input_tokens_details: { cached_tokens: \u001b[33m0\u001b[39m },\n",
" output_tokens: \u001b[33m482\u001b[39m,\n",
" output_tokens_details: { reasoning_tokens: \u001b[33m320\u001b[39m },\n",
" total_tokens: \u001b[33m649\u001b[39m\n",
" },\n",
" user: \u001b[1mnull\u001b[22m,\n",
" metadata: { tabla: \u001b[32m\"planes_estudio\"\u001b[39m, id: \u001b[32m\"2\"\u001b[39m },\n",
" output_text: \u001b[32m'{\"ai-message\":\"¡Hola! ¿En qué puedo ayudarte hoy? Puedo mostrar ejemplos de \\\\\"Hola mundo\\\\\" en distintos lenguajes, explicar conceptos de programación, ayudar con una tarea o sugerir recursos. Dime qué prefieres.\",\"suggested-topic\":\"El papel del programa \\\\\"Hola Mundo\\\\\" en la enseñanza de la programación: comparación práctica entre Python, Java y C (sintaxis, tiempo de arranque, facilidad de aprendizaje y percepción del estudiante).\"}'\u001b[39m\n",
"}"
"cell_type": "code",
"execution_count": 2,
"id": "8baca5f2",
"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);\n"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"while (response.status === \"queued\" || response.status === \"in_progress\") {\n",
" console.log(\"Current status: \" + response.status);\n",
" await new Promise((resolve) => setTimeout(resolve, 2000)); // wait 2 seconds\n",
" response = await openai.responses.retrieve(response.id);\n",
"}\n",
"\n",
"response;"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "ebb67bd8",
"metadata": {},
"outputs": [
},
{
"data": {
"text/plain": [
"{ tabla: \u001b[32m\"planes_estudio\"\u001b[39m, id: \u001b[32m\"e39952c1-a53b-43bf-8033-feda493a0651\"\u001b[39m }"
"cell_type": "code",
"execution_count": 4,
"id": "923b8e08",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Esperando a que la IA termine con la asignatura fe5eb09c-501b-4db6-b6d3-f02bdcfdc4b4...\n",
"Conexión WebSocket establecida. La celda está esperando cambios...\n"
]
},
{
"ename": "",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
"\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
"\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
"\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
]
}
],
"source": [
"const ID_ASIGNATURA = \"fe5eb09c-501b-4db6-b6d3-f02bdcfdc4b4\";\n",
"console.log(\n",
" `Esperando a que la IA termine con la asignatura ${ID_ASIGNATURA}...`,\n",
");\n",
"\n",
"if (!supabase) {\n",
" console.log(\"No hay supabase\");\n",
"} else {\n",
" // 2. Armas la \"trampa\" (el listener)\n",
" await new Promise((resolve) => {\n",
" const canal = supabase\n",
" .channel(\"test-asignatura\")\n",
" .on(\n",
" \"postgres_changes\",\n",
" {\n",
" event: \"UPDATE\",\n",
" schema: \"public\",\n",
" table: \"asignaturas\",\n",
" filter: `id=eq.${ID_ASIGNATURA}`,\n",
" },\n",
" (payload) => {\n",
" const nuevoEstado = payload.new.estado;\n",
"\n",
" if (nuevoEstado !== \"generando\") {\n",
" console.log(\n",
" `¡Proceso completado! El nuevo estado es: ${nuevoEstado}`,\n",
" );\n",
"\n",
" supabase.removeChannel(canal);\n",
" resolve(true); // ¡Aquí destrabamos la celda de Jupyter!\n",
" } else {\n",
" console.log(\"Hubo un update, pero sigue generando...\");\n",
" }\n",
" },\n",
" )\n",
" .subscribe((status) => {\n",
" if (status === \"SUBSCRIBED\") {\n",
" console.log(\n",
" \"Conexión WebSocket establecida. La celda está esperando cambios...\",\n",
" );\n",
" }\n",
" });\n",
" });\n",
"\n",
" console.log(\"Script finalizado correctamente.\");\n",
"}\n"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"response.metadata"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "cd18fc2d",
"metadata": {},
"outputs": [
},
{
"data": {
"text/plain": [
"{\n",
" error: \u001b[1mnull\u001b[22m,\n",
" data: {\n",
" id: \u001b[32m\"e39952c1-a53b-43bf-8033-feda493a0651\"\u001b[39m,\n",
" carrera_id: \u001b[32m\"8208da08-d549-4359-8865-9d806bc54f19\"\u001b[39m,\n",
" estructura_id: \u001b[32m\"69fb2b77-5a95-47e0-bf1f-389d384200e4\"\u001b[39m,\n",
" nombre: \u001b[32m\"Ingeniearía en Cifbernética y Ciberseguridad (2025)\"\u001b[39m,\n",
" nivel: \u001b[32m\"Doctorado\"\u001b[39m,\n",
" tipo_ciclo: \u001b[32m\"Semestre\"\u001b[39m,\n",
" numero_ciclos: \u001b[33m8\u001b[39m,\n",
" datos: {\n",
" \u001b[32m\"ai-message\"\u001b[39m: \u001b[32m\"¡Hola! ¿Cómo puedo ayudarte hoy? Si te refieres al clásico “Hola mundo” en programación, puedo mostrarte ejemplos en varios lenguajes, explicar su historia o ayudarte a crear tu primer programa. ¿Qué prefieres?\"\u001b[39m,\n",
" \u001b[32m\"suggested-topic\"\u001b[39m: \u001b[32m\"El uso del programa “Hola mundo” como herramienta pedagógica en la enseñanza de la programación: impacto en la comprensión inicial, variaciones por lenguaje y mejores prácticas didácticas.\"\u001b[39m\n",
" },\n",
" estado_actual_id: \u001b[32m\"18f49b67-8077-4371-be6e-2019a3be3562\"\u001b[39m,\n",
" activo: \u001b[33mtrue\u001b[39m,\n",
" tipo_origen: \u001b[32m\"IA\"\u001b[39m,\n",
" meta_origen: {},\n",
" creado_por: \u001b[32m\"11111111-1111-1111-1111-111111111111\"\u001b[39m,\n",
" actualizado_por: \u001b[32m\"11111111-1111-1111-1111-111111111111\"\u001b[39m,\n",
" creado_en: \u001b[32m\"2026-02-20T17:11:28.995222+00:00\"\u001b[39m,\n",
" actualizado_en: \u001b[32m\"2026-02-20T17:12:40.170995+00:00\"\u001b[39m,\n",
" nombre_search: \u001b[32m\"ingeniearia en cifbernetica y ciberseguridad (2025)\"\u001b[39m,\n",
" plan_hash: \u001b[32m\"70d28457bbddfe4f5cde0574\"\u001b[39m\n",
" },\n",
" count: \u001b[1mnull\u001b[22m,\n",
" status: \u001b[33m200\u001b[39m,\n",
" statusText: \u001b[32m\"OK\"\u001b[39m\n",
"}"
"cell_type": "code",
"execution_count": null,
"id": "8a1509d8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Iniciando conexión abierta y sin filtros...\n",
"Conectado. Esperando cualquier cambio en la tabla asignaturas...\n"
]
},
{
"ename": "",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
"\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
"\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
"\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
]
}
],
"source": [
"console.log(`Iniciando conexión abierta y sin filtros...`);\n",
"\n",
"await new Promise((resolve) => {\n",
" const canal = supabase\n",
" .channel(\"test-global-asignaturas\")\n",
" .on(\n",
" \"postgres_changes\",\n",
" {\n",
" event: \"*\", // Escuchamos absolutamente TODO\n",
" schema: \"public\",\n",
" table: \"asignaturas\",\n",
" },\n",
" (payload) => {\n",
" // Imprimimos todo el objeto tal como llega del servidor\n",
" console.log(\"🚨 ¡EVENTO RECIBIDO EN CRUDO!\", payload);\n",
"\n",
" // Cerramos la conexión para liberar la celda\n",
" supabase.removeChannel(canal);\n",
" resolve(true);\n",
" },\n",
" )\n",
" .subscribe((status, err) => {\n",
" if (status === \"SUBSCRIBED\") {\n",
" console.log(\n",
" \"Conectado. Esperando cualquier cambio en la tabla asignaturas...\",\n",
" );\n",
" }\n",
" if (err) {\n",
" console.error(\"Error en el socket:\", err);\n",
" }\n",
" });\n",
"});\n",
"\n",
"console.log(\"Script finalizado.\");\n"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"await supabase.from(response.metadata.tabla).update({\n",
" datos: JSON.parse(response.output_text),\n",
"}).eq(\"id\", response.metadata.id).select(\"*\").single();"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cbbfd8c0",
"metadata": {},
"outputs": [
},
{
"ename": "Expected ';', '}' or <eof> at file:///repl.tsx:2:93\n\n ...} ha sido actualizado con los datos generados por la IA.`: response.output_text,\n ~",
"evalue": "Expected ';', '}' or <eof> at file:///repl.tsx:2:93\n\n ...} ha sido actualizado con los datos generados por la IA.`: response.output_text,\n ~",
"output_type": "error",
"traceback": []
"cell_type": "code",
"execution_count": null,
"id": "3602b930",
"metadata": {},
"outputs": [],
"source": [
"import(\"https://esm.sh/@supabase/supabase-js\").then(({ createClient }) => {\n",
" const supabase = createClient(\n",
" \"https://bxkskdxwppdlplrkidcz.supabase.co\",\n",
" \"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6ImJ4a3NrZHh3cHBkbHBscmtpZGN6Iiwicm9sZSI6ImFub24iLCJpYXQiOjE3NzIwMzU2NDMsImV4cCI6MjA4NzYxMTY0M30.RIyvmB8Ij_qrsiMn0f65awiG5VaCUA5dvb117wuU3jo\",\n",
" );\n",
"\n",
" supabase.channel(\"prueba-consola\")\n",
" .on(\"postgres_changes\", {\n",
" event: \"*\",\n",
" schema: \"public\",\n",
" table: \"asignaturas\",\n",
" }, (payload) => {\n",
" console.log(\"🔥 ¡LLEGÓ EL EVENTO DESDE SUPABASE!\", payload);\n",
" })\n",
" .subscribe((status) => console.log(\"Estado de la conexión:\", status));\n",
"});\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "26b3bb36",
"metadata": {},
"outputs": [],
"source": [
"// plan Crear un plan en la base (sin datos) estado generando\n",
"const { data: plan, error } = await supabase.from(\"planes_estudio\").insert({\n",
" \"carrera_id\": \"8208da08-d549-4359-8865-9d806bc54f19\",\n",
" \"estructura_id\": \"69fb2b77-5a95-47e0-bf1f-389d384200e4\",\n",
" \"estado_actual_id\": \"18f49b67-8077-4371-be6e-2019a3be3562\",\n",
" \"nombre\": \"Ingeniearía en Cifbernética y Ciberseguridad (2025)\",\n",
" \"nivel\": \"Doctorado\",\n",
" \"tipo_ciclo\": \"Semestre\",\n",
" \"numero_ciclos\": 8,\n",
" \"activo\": true,\n",
" \"tipo_origen\": \"IA\",\n",
" \"creado_por\": \"11111111-1111-1111-1111-111111111111\",\n",
" \"actualizado_por\": \"11111111-1111-1111-1111-111111111111\",\n",
"}).select(\"*\").single();\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8abb080e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{\n",
" message: \u001b[32m\"TypeError: error sending request for url (http://127.0.0.1:54321/rest/v1/planes_estudio?select=*): client error (Connect): tcp connect error: No se puede establecer una conexión ya que el equipo de destino denegó expresamente dicha conexión. (os error 10061)\"\u001b[39m,\n",
" details: \u001b[32m\"TypeError: error sending request for url (http://127.0.0.1:54321/rest/v1/planes_estudio?select=*): client error (Connect): tcp connect error: No se puede establecer una conexión ya que el equipo de destino denegó expresamente dicha conexión. (os error 10061)\\n\"\u001b[39m +\n",
" \u001b[32m\" at async mainFetch (ext:deno_fetch/26_fetch.js:192:12)\\n\"\u001b[39m +\n",
" \u001b[32m\" at async fetch (ext:deno_fetch/26_fetch.js:475:11)\\n\"\u001b[39m +\n",
" \u001b[32m\" at async <anonymous>:2:31\"\u001b[39m,\n",
" hint: \u001b[32m\"\"\u001b[39m,\n",
" code: \u001b[32m\"\"\u001b[39m\n",
"}"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plan.id;\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a382bdc6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{\n",
" id: \u001b[32m\"resp_0ae72cbd0894279200699c8e42941c8192ba4a09e280b21a17\"\u001b[39m,\n",
" object: \u001b[32m\"response\"\u001b[39m,\n",
" created_at: \u001b[33m1771867714\u001b[39m,\n",
" status: \u001b[32m\"queued\"\u001b[39m,\n",
" background: \u001b[33mtrue\u001b[39m,\n",
" completed_at: \u001b[1mnull\u001b[22m,\n",
" error: \u001b[1mnull\u001b[22m,\n",
" frequency_penalty: \u001b[33m0\u001b[39m,\n",
" incomplete_details: \u001b[1mnull\u001b[22m,\n",
" instructions: \u001b[1mnull\u001b[22m,\n",
" max_output_tokens: \u001b[1mnull\u001b[22m,\n",
" max_tool_calls: \u001b[1mnull\u001b[22m,\n",
" model: \u001b[32m\"gpt-5-mini-2025-08-07\"\u001b[39m,\n",
" output: [],\n",
" parallel_tool_calls: \u001b[33mtrue\u001b[39m,\n",
" presence_penalty: \u001b[33m0\u001b[39m,\n",
" previous_response_id: \u001b[1mnull\u001b[22m,\n",
" prompt_cache_key: \u001b[1mnull\u001b[22m,\n",
" prompt_cache_retention: \u001b[1mnull\u001b[22m,\n",
" reasoning: { effort: \u001b[32m\"medium\"\u001b[39m, summary: \u001b[1mnull\u001b[22m },\n",
" safety_identifier: \u001b[1mnull\u001b[22m,\n",
" service_tier: \u001b[32m\"auto\"\u001b[39m,\n",
" store: \u001b[33mtrue\u001b[39m,\n",
" temperature: \u001b[33m1\u001b[39m,\n",
" text: {\n",
" format: {\n",
" type: \u001b[32m\"json_schema\"\u001b[39m,\n",
" description: \u001b[1mnull\u001b[22m,\n",
" name: \u001b[32m\"response_schema\"\u001b[39m,\n",
" schema: {\n",
" type: \u001b[32m\"object\"\u001b[39m,\n",
" properties: { \u001b[32m\"ai-message\"\u001b[39m: \u001b[36m[Object]\u001b[39m, \u001b[32m\"suggested-topic\"\u001b[39m: \u001b[36m[Object]\u001b[39m },\n",
" required: [ \u001b[32m\"ai-message\"\u001b[39m, \u001b[32m\"suggested-topic\"\u001b[39m ],\n",
" additionalProperties: \u001b[33mfalse\u001b[39m\n",
" },\n",
" strict: \u001b[33mtrue\u001b[39m\n",
" },\n",
" verbosity: \u001b[32m\"medium\"\u001b[39m\n",
" },\n",
" tool_choice: \u001b[32m\"auto\"\u001b[39m,\n",
" tools: [],\n",
" top_logprobs: \u001b[33m0\u001b[39m,\n",
" top_p: \u001b[33m1\u001b[39m,\n",
" truncation: \u001b[32m\"disabled\"\u001b[39m,\n",
" usage: \u001b[1mnull\u001b[22m,\n",
" user: \u001b[1mnull\u001b[22m,\n",
" metadata: { tabla: \u001b[32m\"planes_estudio\"\u001b[39m, id: \u001b[32m\"2\"\u001b[39m },\n",
" output_text: \u001b[32m\"\"\u001b[39m\n",
"}"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"let response = await openai.responses.create({\n",
" model: \"gpt-5-mini\",\n",
" input: \"Hola mundo\",\n",
" metadata: {\n",
" tabla: \"planes_estudio\",\n",
" id: '2',\n",
" },\n",
" text: {\n",
" format: {\n",
" type: \"json_schema\",\n",
" name: \"response_schema\",\n",
" schema: {\n",
" type: \"object\",\n",
" properties: {\n",
" \"ai-message\": {\n",
" type: \"string\",\n",
" description:\n",
" \"Un mensaje de texto que la IA generará para el usuario final. Este mensaje debe ser claro y directo, proporcionando la información solicitada por el usuario o indicando que no se puede procesar la solicitud si no está relacionada con planes de estudio o asignaturas.\",\n",
" },\n",
" \"suggested-topic\": {\n",
" type: \"string\",\n",
" description:\n",
" \"Un tema de investigación sugerido por la IA que sea relevante para el plan de estudio o asignatura mencionada en la solicitud del usuario. Este tema debe ser específico y relacionado con el área de estudio correspondiente.\",\n",
" },\n",
" },\n",
" required: [\"ai-message\", \"suggested-topic\"],\n",
" additionalProperties: false,\n",
" },\n",
" },\n",
" },\n",
" background: true,\n",
"});\n",
"\n",
"response;\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6b2470ed",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Current status: queued\n",
"Current status: in_progress\n",
"Current status: in_progress\n"
]
},
{
"data": {
"text/plain": [
"{\n",
" id: \u001b[32m\"resp_0ae72cbd0894279200699c8e42941c8192ba4a09e280b21a17\"\u001b[39m,\n",
" object: \u001b[32m\"response\"\u001b[39m,\n",
" created_at: \u001b[33m1771867714\u001b[39m,\n",
" status: \u001b[32m\"completed\"\u001b[39m,\n",
" background: \u001b[33mtrue\u001b[39m,\n",
" billing: { payer: \u001b[32m\"developer\"\u001b[39m },\n",
" completed_at: \u001b[33m1771867721\u001b[39m,\n",
" error: \u001b[1mnull\u001b[22m,\n",
" frequency_penalty: \u001b[33m0\u001b[39m,\n",
" incomplete_details: \u001b[1mnull\u001b[22m,\n",
" instructions: \u001b[1mnull\u001b[22m,\n",
" max_output_tokens: \u001b[1mnull\u001b[22m,\n",
" max_tool_calls: \u001b[1mnull\u001b[22m,\n",
" model: \u001b[32m\"gpt-5-mini-2025-08-07\"\u001b[39m,\n",
" output: [\n",
" {\n",
" id: \u001b[32m\"rs_0ae72cbd0894279200699c8e43cd4c8192bcbc70792b6aa621\"\u001b[39m,\n",
" type: \u001b[32m\"reasoning\"\u001b[39m,\n",
" summary: []\n",
" },\n",
" {\n",
" id: \u001b[32m\"msg_0ae72cbd0894279200699c8e48976481928e1f205210636717\"\u001b[39m,\n",
" type: \u001b[32m\"message\"\u001b[39m,\n",
" status: \u001b[32m\"completed\"\u001b[39m,\n",
" content: [\n",
" {\n",
" type: \u001b[32m\"output_text\"\u001b[39m,\n",
" annotations: [],\n",
" logprobs: [],\n",
" text: \u001b[32m'{\"ai-message\":\"¡Hola! ¿En qué puedo ayudarte hoy? Puedo mostrar ejemplos de \\\\\"Hola mundo\\\\\" en distintos lenguajes, explicar conceptos de programación, ayudar con una tarea o sugerir recursos. Dime qué prefieres.\",\"suggested-topic\":\"El papel del programa \\\\\"Hola Mundo\\\\\" en la enseñanza de la programación: comparación práctica entre Python, Java y C (sintaxis, tiempo de arranque, facilidad de aprendizaje y percepción del estudiante).\"}'\u001b[39m\n",
" }\n",
" ],\n",
" role: \u001b[32m\"assistant\"\u001b[39m\n",
" }\n",
" ],\n",
" parallel_tool_calls: \u001b[33mtrue\u001b[39m,\n",
" presence_penalty: \u001b[33m0\u001b[39m,\n",
" previous_response_id: \u001b[1mnull\u001b[22m,\n",
" prompt_cache_key: \u001b[1mnull\u001b[22m,\n",
" prompt_cache_retention: \u001b[1mnull\u001b[22m,\n",
" reasoning: { effort: \u001b[32m\"medium\"\u001b[39m, summary: \u001b[1mnull\u001b[22m },\n",
" safety_identifier: \u001b[1mnull\u001b[22m,\n",
" service_tier: \u001b[32m\"default\"\u001b[39m,\n",
" store: \u001b[33mtrue\u001b[39m,\n",
" temperature: \u001b[33m1\u001b[39m,\n",
" text: {\n",
" format: {\n",
" type: \u001b[32m\"json_schema\"\u001b[39m,\n",
" description: \u001b[1mnull\u001b[22m,\n",
" name: \u001b[32m\"response_schema\"\u001b[39m,\n",
" schema: {\n",
" type: \u001b[32m\"object\"\u001b[39m,\n",
" properties: { \u001b[32m\"ai-message\"\u001b[39m: \u001b[36m[Object]\u001b[39m, \u001b[32m\"suggested-topic\"\u001b[39m: \u001b[36m[Object]\u001b[39m },\n",
" required: [ \u001b[32m\"ai-message\"\u001b[39m, \u001b[32m\"suggested-topic\"\u001b[39m ],\n",
" additionalProperties: \u001b[33mfalse\u001b[39m\n",
" },\n",
" strict: \u001b[33mtrue\u001b[39m\n",
" },\n",
" verbosity: \u001b[32m\"medium\"\u001b[39m\n",
" },\n",
" tool_choice: \u001b[32m\"auto\"\u001b[39m,\n",
" tools: [],\n",
" top_logprobs: \u001b[33m0\u001b[39m,\n",
" top_p: \u001b[33m1\u001b[39m,\n",
" truncation: \u001b[32m\"disabled\"\u001b[39m,\n",
" usage: {\n",
" input_tokens: \u001b[33m167\u001b[39m,\n",
" input_tokens_details: { cached_tokens: \u001b[33m0\u001b[39m },\n",
" output_tokens: \u001b[33m482\u001b[39m,\n",
" output_tokens_details: { reasoning_tokens: \u001b[33m320\u001b[39m },\n",
" total_tokens: \u001b[33m649\u001b[39m\n",
" },\n",
" user: \u001b[1mnull\u001b[22m,\n",
" metadata: { tabla: \u001b[32m\"planes_estudio\"\u001b[39m, id: \u001b[32m\"2\"\u001b[39m },\n",
" output_text: \u001b[32m'{\"ai-message\":\"¡Hola! ¿En qué puedo ayudarte hoy? Puedo mostrar ejemplos de \\\\\"Hola mundo\\\\\" en distintos lenguajes, explicar conceptos de programación, ayudar con una tarea o sugerir recursos. Dime qué prefieres.\",\"suggested-topic\":\"El papel del programa \\\\\"Hola Mundo\\\\\" en la enseñanza de la programación: comparación práctica entre Python, Java y C (sintaxis, tiempo de arranque, facilidad de aprendizaje y percepción del estudiante).\"}'\u001b[39m\n",
"}"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"while (response.status === \"queued\" || response.status === \"in_progress\") {\n",
" console.log(\"Current status: \" + response.status);\n",
" await new Promise((resolve) => setTimeout(resolve, 2000)); // wait 2 seconds\n",
" response = await openai.responses.retrieve(response.id);\n",
"}\n",
"\n",
"response;\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ebb67bd8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{ tabla: \u001b[32m\"planes_estudio\"\u001b[39m, id: \u001b[32m\"e39952c1-a53b-43bf-8033-feda493a0651\"\u001b[39m }"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"response.metadata;\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cd18fc2d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{\n",
" error: \u001b[1mnull\u001b[22m,\n",
" data: {\n",
" id: \u001b[32m\"e39952c1-a53b-43bf-8033-feda493a0651\"\u001b[39m,\n",
" carrera_id: \u001b[32m\"8208da08-d549-4359-8865-9d806bc54f19\"\u001b[39m,\n",
" estructura_id: \u001b[32m\"69fb2b77-5a95-47e0-bf1f-389d384200e4\"\u001b[39m,\n",
" nombre: \u001b[32m\"Ingeniearía en Cifbernética y Ciberseguridad (2025)\"\u001b[39m,\n",
" nivel: \u001b[32m\"Doctorado\"\u001b[39m,\n",
" tipo_ciclo: \u001b[32m\"Semestre\"\u001b[39m,\n",
" numero_ciclos: \u001b[33m8\u001b[39m,\n",
" datos: {\n",
" \u001b[32m\"ai-message\"\u001b[39m: \u001b[32m\"¡Hola! ¿Cómo puedo ayudarte hoy? Si te refieres al clásico “Hola mundo” en programación, puedo mostrarte ejemplos en varios lenguajes, explicar su historia o ayudarte a crear tu primer programa. ¿Qué prefieres?\"\u001b[39m,\n",
" \u001b[32m\"suggested-topic\"\u001b[39m: \u001b[32m\"El uso del programa “Hola mundo” como herramienta pedagógica en la enseñanza de la programación: impacto en la comprensión inicial, variaciones por lenguaje y mejores prácticas didácticas.\"\u001b[39m\n",
" },\n",
" estado_actual_id: \u001b[32m\"18f49b67-8077-4371-be6e-2019a3be3562\"\u001b[39m,\n",
" activo: \u001b[33mtrue\u001b[39m,\n",
" tipo_origen: \u001b[32m\"IA\"\u001b[39m,\n",
" meta_origen: {},\n",
" creado_por: \u001b[32m\"11111111-1111-1111-1111-111111111111\"\u001b[39m,\n",
" actualizado_por: \u001b[32m\"11111111-1111-1111-1111-111111111111\"\u001b[39m,\n",
" creado_en: \u001b[32m\"2026-02-20T17:11:28.995222+00:00\"\u001b[39m,\n",
" actualizado_en: \u001b[32m\"2026-02-20T17:12:40.170995+00:00\"\u001b[39m,\n",
" nombre_search: \u001b[32m\"ingeniearia en cifbernetica y ciberseguridad (2025)\"\u001b[39m,\n",
" plan_hash: \u001b[32m\"70d28457bbddfe4f5cde0574\"\u001b[39m\n",
" },\n",
" count: \u001b[1mnull\u001b[22m,\n",
" status: \u001b[33m200\u001b[39m,\n",
" statusText: \u001b[32m\"OK\"\u001b[39m\n",
"}"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"await supabase.from(response.metadata.tabla).update({\n",
" datos: JSON.parse(response.output_text),\n",
"}).eq(\"id\", response.metadata.id).select(\"*\").single();\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cbbfd8c0",
"metadata": {},
"outputs": [
{
"ename": "Expected ';', '}' or <eof> at file:///repl.tsx:2:93\n\n ...} ha sido actualizado con los datos generados por la IA.`: response.output_text,\n ~",
"evalue": "Expected ';', '}' or <eof> at file:///repl.tsx:2:93\n\n ...} ha sido actualizado con los datos generados por la IA.`: response.output_text,\n ~",
"output_type": "error",
"traceback": []
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "a00c79bd",
"metadata": {},
"outputs": [],
"source": []
}
],
"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"
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "a00c79bd",
"metadata": {},
"outputs": [],
"source": []
}
],
"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
"nbformat": 4,
"nbformat_minor": 5
}
notebooks/conversations-openai.ipynb
+47 -17
View File
@@ -14,7 +14,23 @@
" export: true,\n",
"});\n",
"\n",
"const openai = new OpenAI();"
"const openai = new OpenAI();\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "3430f0fd",
"metadata": {},
"outputs": [],
"source": [
"{\n",
" const response = await openai.responses.create({\n",
" model: \"gpt-5-nano\",\n",
" input: \"Cuál es el sentido de la vida?\",\n",
" background: true,\n",
" });\n",
"}\n"
]
},
{
@@ -288,8 +304,8 @@
],
"source": [
"const { data: input } = await supabase.from(\"planes_estudio\")\n",
".select(\"*, estructuras_plan (definicion)\").limit(1).single();\n",
"input"
" .select(\"*, estructuras_plan (definicion)\").limit(1).single();\n",
"input;\n"
]
},
{
@@ -320,16 +336,22 @@
" },\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",
" type: \"message\",\n",
" role: \"system\",\n",
" content:\n",
" \"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",
"\n",
"const {data: conversationPlane} = await supabase.from(\"conversaciones_plan\").insert({\n",
" openai_conversation_id: openaiConversation.id,\n",
" plan_estudio_id: input.id,\n",
"}).select(\"id\").single();\n",
"const { data: conversationPlane } = await supabase.from(\"conversaciones_plan\")\n",
" .insert({\n",
" openai_conversation_id: openaiConversation.id,\n",
" plan_estudio_id: input.id,\n",
" }).select(\"id\").single();\n",
"\n",
"conversationPlane"
"conversationPlane;\n"
]
},
{
@@ -373,14 +395,16 @@
],
"source": [
"// Archivar una conversación\n",
"const items = await openai.conversations.items.list(conversation.openai_conversation_id);\n",
"const items = await openai.conversations.items.list(\n",
" conversation.openai_conversation_id,\n",
");\n",
"await supabase.from(\"conversaciones_plan\").update({\n",
" estado: \"ARCHIVANDO\",\n",
" conversacion_json: items,\n",
" openai_conversation_id: null,\n",
"}).eq(\"id\", conversationPlane.id);\n",
"\n",
"await openai.conversations.delete(conversation.openai_conversation_id);"
"await openai.conversations.delete(conversation.openai_conversation_id);\n"
]
},
{
@@ -450,10 +474,13 @@
],
"source": [
"// Listar mensajes dado una conversacion_plan.id\n",
"const { data: conversation } = await supabase.from(\"conversaciones_plan\").select(\"openai_conversation_id\").eq(\"id\", conversationPlane.id).single();\n",
"const items = await openai.conversations.items.list(conversation.openai_conversation_id);\n",
"const { data: conversation } = await supabase.from(\"conversaciones_plan\")\n",
" .select(\"openai_conversation_id\").eq(\"id\", conversationPlane.id).single();\n",
"const items = await openai.conversations.items.list(\n",
" conversation.openai_conversation_id,\n",
");\n",
"// items.data.filter((item) => item.type === \"message\" && [\"assistant\", \"user\"].includes(item.role))\n",
"JSON.stringify(items, null, 2)"
"JSON.stringify(items, null, 2);\n"
]
},
{
@@ -714,7 +741,7 @@
"const { data: respuesta, error } = await supabase.functions.invoke(\n",
" `create-chat-conversation/conversations/${data.conversation_plan.id}/messages`,\n",
" {\n",
" method: \"GET\"\n",
" method: \"GET\",\n",
" },\n",
");\n",
"\n",
@@ -767,7 +794,7 @@
}
],
"source": [
"conversationToUpdate.openai_conversation_id"
"conversationToUpdate.openai_conversation_id;\n"
]
},
{
@@ -792,7 +819,10 @@
}
],
"source": [
"await openai.beta.threads.messages.retrieve('msg_057bd8aacc77d01f006994e942d98481938f35bf58dacf126d', {thread_id:conversationToUpdate.openai_conversation_id})"
"await openai.beta.threads.messages.retrieve(\n",
" \"msg_057bd8aacc77d01f006994e942d98481938f35bf58dacf126d\",\n",
" { thread_id: conversationToUpdate.openai_conversation_id },\n",
");\n"
]
},
{