Merge branch 'main' into issue/35-crear-webhook-para-responses
This commit is contained in:
@@ -21,6 +21,7 @@
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|||||||
"jsr:@zod/zod@^4.3.5": "4.3.5",
|
"jsr:@zod/zod@^4.3.5": "4.3.5",
|
||||||
"npm:@supabase/supabase-js@2": "2.90.1",
|
"npm:@supabase/supabase-js@2": "2.90.1",
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||||||
"npm:@supabase/supabase-js@^2.90.1": "2.90.1",
|
"npm:@supabase/supabase-js@^2.90.1": "2.90.1",
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||||||
|
"npm:@toon-format/toon@^2.1.0": "2.1.0",
|
||||||
"npm:@types/bun@^1.3.5": "1.3.5",
|
"npm:@types/bun@^1.3.5": "1.3.5",
|
||||||
"npm:deno@^2.6.4": "2.6.4",
|
"npm:deno@^2.6.4": "2.6.4",
|
||||||
"npm:openai@6.16.0": "6.16.0_zod@3.25.76",
|
"npm:openai@6.16.0": "6.16.0_zod@3.25.76",
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||||||
@@ -186,6 +187,9 @@
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|||||||
"@supabase/storage-js"
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"@supabase/storage-js"
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]
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]
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||||||
},
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},
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||||||
|
"@toon-format/toon@2.1.0": {
|
||||||
|
"integrity": "sha512-JwWptdF5eOA0HaQxbKAzkpQtR4wSWTEfDlEy/y3/4okmOAX1qwnpLZMmtEWr+ncAhTTY1raCKH0kteHhSXnQqg=="
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||||||
|
},
|
||||||
"@types/bun@1.3.5": {
|
"@types/bun@1.3.5": {
|
||||||
"integrity": "sha512-RnygCqNrd3srIPEWBd5LFeUYG7plCoH2Yw9WaZGyNmdTEei+gWaHqydbaIRkIkcbXwhBT94q78QljxN0Sk838w==",
|
"integrity": "sha512-RnygCqNrd3srIPEWBd5LFeUYG7plCoH2Yw9WaZGyNmdTEei+gWaHqydbaIRkIkcbXwhBT94q78QljxN0Sk838w==",
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||||||
"dependencies": [
|
"dependencies": [
|
||||||
@@ -519,8 +523,7 @@
|
|||||||
"minipass",
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"minipass",
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"minizlib",
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"minizlib",
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||||||
"yallist"
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"yallist"
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||||||
],
|
]
|
||||||
"deprecated": true
|
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||||||
},
|
},
|
||||||
"tr46@0.0.3": {
|
"tr46@0.0.3": {
|
||||||
"integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="
|
"integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="
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@@ -591,6 +594,7 @@
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|||||||
"packageJson": {
|
"packageJson": {
|
||||||
"dependencies": [
|
"dependencies": [
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||||||
"npm:@supabase/supabase-js@^2.90.1",
|
"npm:@supabase/supabase-js@^2.90.1",
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||||||
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"npm:@toon-format/toon@^2.1.0",
|
||||||
"npm:@types/bun@^1.3.5",
|
"npm:@types/bun@^1.3.5",
|
||||||
"npm:deno@^2.6.4",
|
"npm:deno@^2.6.4",
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||||||
"npm:openai@^6.16.0",
|
"npm:openai@^6.16.0",
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||||||
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|||||||
@@ -195,7 +195,7 @@
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|||||||
},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
|
||||||
"execution_count": 19,
|
"execution_count": 7,
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||||||
"id": "26b3bb36",
|
"id": "26b3bb36",
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||||||
"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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||||||
@@ -225,10 +225,18 @@
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|||||||
{
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{
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||||||
"data": {
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"data": {
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||||||
"text/plain": [
|
"text/plain": [
|
||||||
"\u001b[32m\"e39952c1-a53b-43bf-8033-feda493a0651\"\u001b[39m"
|
"{\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",
|
||||||
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" \u001b[32m\" at async fetch (ext:deno_fetch/26_fetch.js:475:11)\\n\"\u001b[39m +\n",
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||||||
|
" \u001b[32m\" at async <anonymous>:2:31\"\u001b[39m,\n",
|
||||||
|
" hint: \u001b[32m\"\"\u001b[39m,\n",
|
||||||
|
" code: \u001b[32m\"\"\u001b[39m\n",
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||||||
|
"}"
|
||||||
]
|
]
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||||||
},
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},
|
||||||
"execution_count": 21,
|
"execution_count": 9,
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||||||
"metadata": {},
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"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
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||||||
}
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}
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||||||
@@ -247,9 +255,9 @@
|
|||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"{\n",
|
"{\n",
|
||||||
" id: \u001b[32m\"resp_0f1906be7e83879e00699895d7f1cc8193a960e6ccdab1d377\"\u001b[39m,\n",
|
" id: \u001b[32m\"resp_0ae72cbd0894279200699c8e42941c8192ba4a09e280b21a17\"\u001b[39m,\n",
|
||||||
" object: \u001b[32m\"response\"\u001b[39m,\n",
|
" object: \u001b[32m\"response\"\u001b[39m,\n",
|
||||||
" created_at: \u001b[33m1771607511\u001b[39m,\n",
|
" created_at: \u001b[33m1771867714\u001b[39m,\n",
|
||||||
" status: \u001b[32m\"queued\"\u001b[39m,\n",
|
" status: \u001b[32m\"queued\"\u001b[39m,\n",
|
||||||
" background: \u001b[33mtrue\u001b[39m,\n",
|
" background: \u001b[33mtrue\u001b[39m,\n",
|
||||||
" completed_at: \u001b[1mnull\u001b[22m,\n",
|
" completed_at: \u001b[1mnull\u001b[22m,\n",
|
||||||
@@ -293,15 +301,12 @@
|
|||||||
" truncation: \u001b[32m\"disabled\"\u001b[39m,\n",
|
" truncation: \u001b[32m\"disabled\"\u001b[39m,\n",
|
||||||
" usage: \u001b[1mnull\u001b[22m,\n",
|
" usage: \u001b[1mnull\u001b[22m,\n",
|
||||||
" user: \u001b[1mnull\u001b[22m,\n",
|
" user: \u001b[1mnull\u001b[22m,\n",
|
||||||
" metadata: {\n",
|
" metadata: { tabla: \u001b[32m\"planes_estudio\"\u001b[39m, id: \u001b[32m\"2\"\u001b[39m },\n",
|
||||||
" tabla: \u001b[32m\"planes_estudio\"\u001b[39m,\n",
|
|
||||||
" id: \u001b[32m\"e39952c1-a53b-43bf-8033-feda493a0651\"\u001b[39m\n",
|
|
||||||
" },\n",
|
|
||||||
" output_text: \u001b[32m\"\"\u001b[39m\n",
|
" output_text: \u001b[32m\"\"\u001b[39m\n",
|
||||||
"}"
|
"}"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 22,
|
"execution_count": 12,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
@@ -312,7 +317,7 @@
|
|||||||
" input: \"Hola mundo\",\n",
|
" input: \"Hola mundo\",\n",
|
||||||
" metadata: {\n",
|
" metadata: {\n",
|
||||||
" tabla: \"planes_estudio\",\n",
|
" tabla: \"planes_estudio\",\n",
|
||||||
" id: plan.id,\n",
|
" id: '2',\n",
|
||||||
" },\n",
|
" },\n",
|
||||||
" text: {\n",
|
" text: {\n",
|
||||||
" format: {\n",
|
" format: {\n",
|
||||||
@@ -362,13 +367,13 @@
|
|||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"{\n",
|
"{\n",
|
||||||
" id: \u001b[32m\"resp_0f1906be7e83879e00699895d7f1cc8193a960e6ccdab1d377\"\u001b[39m,\n",
|
" id: \u001b[32m\"resp_0ae72cbd0894279200699c8e42941c8192ba4a09e280b21a17\"\u001b[39m,\n",
|
||||||
" object: \u001b[32m\"response\"\u001b[39m,\n",
|
" object: \u001b[32m\"response\"\u001b[39m,\n",
|
||||||
" created_at: \u001b[33m1771607511\u001b[39m,\n",
|
" created_at: \u001b[33m1771867714\u001b[39m,\n",
|
||||||
" status: \u001b[32m\"completed\"\u001b[39m,\n",
|
" status: \u001b[32m\"completed\"\u001b[39m,\n",
|
||||||
" background: \u001b[33mtrue\u001b[39m,\n",
|
" background: \u001b[33mtrue\u001b[39m,\n",
|
||||||
" billing: { payer: \u001b[32m\"developer\"\u001b[39m },\n",
|
" billing: { payer: \u001b[32m\"developer\"\u001b[39m },\n",
|
||||||
" completed_at: \u001b[33m1771607519\u001b[39m,\n",
|
" completed_at: \u001b[33m1771867721\u001b[39m,\n",
|
||||||
" error: \u001b[1mnull\u001b[22m,\n",
|
" error: \u001b[1mnull\u001b[22m,\n",
|
||||||
" frequency_penalty: \u001b[33m0\u001b[39m,\n",
|
" frequency_penalty: \u001b[33m0\u001b[39m,\n",
|
||||||
" incomplete_details: \u001b[1mnull\u001b[22m,\n",
|
" incomplete_details: \u001b[1mnull\u001b[22m,\n",
|
||||||
@@ -378,12 +383,12 @@
|
|||||||
" model: \u001b[32m\"gpt-5-mini-2025-08-07\"\u001b[39m,\n",
|
" model: \u001b[32m\"gpt-5-mini-2025-08-07\"\u001b[39m,\n",
|
||||||
" output: [\n",
|
" output: [\n",
|
||||||
" {\n",
|
" {\n",
|
||||||
" id: \u001b[32m\"rs_0f1906be7e83879e00699895d976548193ad40e9aae0b1b4f2\"\u001b[39m,\n",
|
" id: \u001b[32m\"rs_0ae72cbd0894279200699c8e43cd4c8192bcbc70792b6aa621\"\u001b[39m,\n",
|
||||||
" type: \u001b[32m\"reasoning\"\u001b[39m,\n",
|
" type: \u001b[32m\"reasoning\"\u001b[39m,\n",
|
||||||
" summary: []\n",
|
" summary: []\n",
|
||||||
" },\n",
|
" },\n",
|
||||||
" {\n",
|
" {\n",
|
||||||
" id: \u001b[32m\"msg_0f1906be7e83879e00699895ddf62881938811097ba62e8724\"\u001b[39m,\n",
|
" id: \u001b[32m\"msg_0ae72cbd0894279200699c8e48976481928e1f205210636717\"\u001b[39m,\n",
|
||||||
" type: \u001b[32m\"message\"\u001b[39m,\n",
|
" type: \u001b[32m\"message\"\u001b[39m,\n",
|
||||||
" status: \u001b[32m\"completed\"\u001b[39m,\n",
|
" status: \u001b[32m\"completed\"\u001b[39m,\n",
|
||||||
" content: [\n",
|
" content: [\n",
|
||||||
@@ -391,7 +396,7 @@
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|||||||
" type: \u001b[32m\"output_text\"\u001b[39m,\n",
|
" type: \u001b[32m\"output_text\"\u001b[39m,\n",
|
||||||
" annotations: [],\n",
|
" annotations: [],\n",
|
||||||
" logprobs: [],\n",
|
" logprobs: [],\n",
|
||||||
" text: \u001b[32m'{\"ai-message\":\"¡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?\",\"suggested-topic\":\"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",
|
" 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",
|
||||||
" ],\n",
|
" ],\n",
|
||||||
" role: \u001b[32m\"assistant\"\u001b[39m\n",
|
" role: \u001b[32m\"assistant\"\u001b[39m\n",
|
||||||
@@ -430,20 +435,17 @@
|
|||||||
" usage: {\n",
|
" usage: {\n",
|
||||||
" input_tokens: \u001b[33m167\u001b[39m,\n",
|
" input_tokens: \u001b[33m167\u001b[39m,\n",
|
||||||
" input_tokens_details: { cached_tokens: \u001b[33m0\u001b[39m },\n",
|
" input_tokens_details: { cached_tokens: \u001b[33m0\u001b[39m },\n",
|
||||||
" output_tokens: \u001b[33m437\u001b[39m,\n",
|
" output_tokens: \u001b[33m482\u001b[39m,\n",
|
||||||
" output_tokens_details: { reasoning_tokens: \u001b[33m320\u001b[39m },\n",
|
" output_tokens_details: { reasoning_tokens: \u001b[33m320\u001b[39m },\n",
|
||||||
" total_tokens: \u001b[33m604\u001b[39m\n",
|
" total_tokens: \u001b[33m649\u001b[39m\n",
|
||||||
" },\n",
|
" },\n",
|
||||||
" user: \u001b[1mnull\u001b[22m,\n",
|
" user: \u001b[1mnull\u001b[22m,\n",
|
||||||
" metadata: {\n",
|
" metadata: { tabla: \u001b[32m\"planes_estudio\"\u001b[39m, id: \u001b[32m\"2\"\u001b[39m },\n",
|
||||||
" tabla: \u001b[32m\"planes_estudio\"\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",
|
||||||
" id: \u001b[32m\"e39952c1-a53b-43bf-8033-feda493a0651\"\u001b[39m\n",
|
|
||||||
" },\n",
|
|
||||||
" output_text: \u001b[32m'{\"ai-message\":\"¡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?\",\"suggested-topic\":\"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",
|
|
||||||
"}"
|
"}"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 23,
|
"execution_count": 13,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"output_type": "execute_result"
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -83,11 +83,13 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 26,
|
"execution_count": null,
|
||||||
"id": "1403c789",
|
"id": "1403c789",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
"import { title } from \"node:process\";\n",
|
||||||
|
"\n",
|
||||||
"const combinedSchema = {\n",
|
"const combinedSchema = {\n",
|
||||||
" type: \"object\",\n",
|
" type: \"object\",\n",
|
||||||
" $defs: {\n",
|
" $defs: {\n",
|
||||||
@@ -126,10 +128,12 @@
|
|||||||
" fabricante: { type: \"string\", maxLength: 100 },\n",
|
" fabricante: { type: \"string\", maxLength: 100 },\n",
|
||||||
"\n",
|
"\n",
|
||||||
" // Agregar campo del preset\n",
|
" // Agregar campo del preset\n",
|
||||||
" perishables: { $ref: \"#/$defs/perishables\" },\n",
|
" perishables: {\n",
|
||||||
" origen: { $ref: \"#/$defs/origen\" },\n",
|
" $ref: \"#/$defs/perishables\",\n",
|
||||||
|
" \"x-column\": \"perishables\",\n",
|
||||||
|
" },\n",
|
||||||
"\n",
|
"\n",
|
||||||
" perecedero: { type: \"null\", \"x-column\": \"perishable\", const: null },\n",
|
" origen: { $ref: \"#/$defs/origen\" },\n",
|
||||||
" },\n",
|
" },\n",
|
||||||
" required: [\"nombre\", \"fabricante\", \"perishables\", \"origen\", \"perecedero\"],\n",
|
" required: [\"nombre\", \"fabricante\", \"perishables\", \"origen\", \"perecedero\"],\n",
|
||||||
" additionalProperties: false,\n",
|
" additionalProperties: false,\n",
|
||||||
|
|||||||
@@ -2,7 +2,7 @@
|
|||||||
"cells": [
|
"cells": [
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 3,
|
"execution_count": 2,
|
||||||
"id": "902bff53",
|
"id": "902bff53",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -19,7 +19,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 4,
|
"execution_count": 3,
|
||||||
"id": "3b0acbc3",
|
"id": "3b0acbc3",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -32,63 +32,18 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 8,
|
"execution_count": 1,
|
||||||
"id": "dae842ad",
|
"id": "dae842ad",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"name": "stdout",
|
"ename": "ReferenceError",
|
||||||
"output_type": "stream",
|
"evalue": "openai is not defined",
|
||||||
"text": [
|
"output_type": "error",
|
||||||
"{\n",
|
"traceback": [
|
||||||
" object: \"list\",\n",
|
"Stack trace:",
|
||||||
" data: [\n",
|
"ReferenceError: openai is not defined",
|
||||||
" {\n",
|
" at <anonymous>:5:15"
|
||||||
" object: \"embedding\",\n",
|
|
||||||
" index: 0,\n",
|
|
||||||
" embedding: [\n",
|
|
||||||
" 0.017360063269734383, 0.022553985938429832, 0.025286488234996796,\n",
|
|
||||||
" -0.009742671623826027, -0.016438385471701622, -0.014725150540471077,\n",
|
|
||||||
" -0.020840751007199287, 0.02215278521180153, -0.02024437114596367,\n",
|
|
||||||
" 0.007834257557988167, 0.0029981620609760284, -0.04109596461057663,\n",
|
|
||||||
" 0.030165957286953926, -0.03402615711092949, 0.0008369643473997712,\n",
|
|
||||||
" 0.00044016868923790753, -0.027129843831062317, -0.04248390346765518,\n",
|
|
||||||
" -0.058683738112449646, 0.034655068069696426, 0.013738414272665977,\n",
|
|
||||||
" 0.02060219831764698, 0.016687780618667603, 0.0059637944214046,\n",
|
|
||||||
" -0.010306521318852901, 0.014898642897605896, -0.008826415985822678,\n",
|
|
||||||
" 0.042136918753385544, 0.009477011859416962, -0.03953453525900841,\n",
|
|
||||||
" -0.012198670767247677, -0.040055014193058014, -0.019409440457820892,\n",
|
|
||||||
" -0.0210576169192791, -0.0392959825694561, -0.005996324121952057,\n",
|
|
||||||
" -0.0022486215457320213, 0.05209103599190712, 0.0009325206046923995,\n",
|
|
||||||
" 0.013163721188902855, 0.0505296029150486, 0.014540815725922585,\n",
|
|
||||||
" 0.0027921402361243963, 0.03190087899565697, 0.00004917589103570208,\n",
|
|
||||||
" 0.03209605813026428, -0.038363464176654816, -0.02424553595483303,\n",
|
|
||||||
" 0.014096241444349289, 0.02559009939432144, -0.06089576333761215,\n",
|
|
||||||
" -0.011016755364835262, -0.026696112006902695, 0.050659723579883575,\n",
|
|
||||||
" 0.019561246037483215, 0.050833214074373245, 0.014529972337186337,\n",
|
|
||||||
" -0.023204581812024117, -0.014399852603673935, -0.009292676113545895,\n",
|
|
||||||
" 0.003149967873468995, 0.02007087878882885, 0.025503354147076607,\n",
|
|
||||||
" 0.0230094026774168, 0.04471761733293533, 0.01479020994156599,\n",
|
|
||||||
" -0.06692461669445038, 0.03591288626194, -0.037127330899238586,\n",
|
|
||||||
" 0.029558734968304634, -0.017576929181814194, 0.01953955926001072,\n",
|
|
||||||
" -0.027888871729373932, -0.0041095963679254055, 0.0004940461367368698,\n",
|
|
||||||
" -0.011266149580478668, -0.04200679808855057, 0.03537072241306305,\n",
|
|
||||||
" -0.0015058581484481692, -0.05551750585436821, -0.05287174880504608,\n",
|
|
||||||
" 0.016373327001929283, 0.005573437083512545, -0.01235047634691,\n",
|
|
||||||
" -0.009005329571664333, -0.034047845751047134, -0.018368486315011978,\n",
|
|
||||||
" -0.00271217105910182, 0.007731246296316385, -0.020981714129447937,\n",
|
|
||||||
" -0.040900785475969315, -0.03727913647890091, -0.059030722826719284,\n",
|
|
||||||
" -0.04536821320652962, 0.02257567271590233, 0.08579189330339432,\n",
|
|
||||||
" 0.014605875127017498, -0.030686434358358383, -0.0019084142986685038,\n",
|
|
||||||
" 0.02216362953186035,\n",
|
|
||||||
" ... 1436 more items\n",
|
|
||||||
" ]\n",
|
|
||||||
" }\n",
|
|
||||||
" ],\n",
|
|
||||||
" model: \"text-embedding-3-small\",\n",
|
|
||||||
" usage: { prompt_tokens: 13, total_tokens: 13 }\n",
|
|
||||||
"}\n",
|
|
||||||
"✅ Insertados textos con embeddings\n"
|
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -120,7 +75,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 13,
|
"execution_count": 12,
|
||||||
"id": "2d8fa9a9",
|
"id": "2d8fa9a9",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -129,20 +84,26 @@
|
|||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"🔎 Consulta: ¿Cómo son buscados vectores?\n",
|
"🔎 Consulta: ¿Cómo son buscados vectores?\n",
|
||||||
"\n",
|
|
||||||
"- Los vectores se usan con el cliente de OPENAI embeddings\n",
|
|
||||||
" Similaridad: 0.5639\n",
|
|
||||||
"\n",
|
|
||||||
"- Supabase permite almacenar vectores usando pgvector.\n",
|
|
||||||
" Similaridad: 0.4758\n",
|
|
||||||
"\n",
|
|
||||||
"- Los embeddings convierten texto en representaciones numéricas.\n",
|
|
||||||
" Similaridad: 0.3645\n",
|
|
||||||
"\n"
|
"\n"
|
||||||
]
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"\u001b[32m\"code: PGRST202\\n\"\u001b[39m +\n",
|
||||||
|
" \u001b[32m'details: \"Searched for the function public.buscar_documentos with parameters match_count, query_embedding or with a single unnamed json/jsonb parameter, but no matches were found in the schema cache.\"\\n'\u001b[39m +\n",
|
||||||
|
" \u001b[32m\"hint: Perhaps you meant to call the function public.unaccent\\n\"\u001b[39m +\n",
|
||||||
|
" \u001b[32m'message: \"Could not find the function public.buscar_documentos(match_count, query_embedding) in the schema cache\"'\u001b[39m"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 12,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
|
"import { encode } from \"@toon-format/toon\";\n",
|
||||||
|
"\n",
|
||||||
"const consulta = \"¿Cómo son buscados vectores?\";\n",
|
"const consulta = \"¿Cómo son buscados vectores?\";\n",
|
||||||
"\n",
|
"\n",
|
||||||
"const emb = await openai.embeddings.create({\n",
|
"const emb = await openai.embeddings.create({\n",
|
||||||
@@ -157,22 +118,42 @@
|
|||||||
" match_count: 3,\n",
|
" match_count: 3,\n",
|
||||||
"});\n",
|
"});\n",
|
||||||
"\n",
|
"\n",
|
||||||
"if (error) throw error;\n",
|
"/* if (error) throw error; */\n",
|
||||||
"\n",
|
"\n",
|
||||||
"console.log(`🔎 Consulta: ${consulta}\\n`);\n",
|
"console.log(`🔎 Consulta: ${consulta}\\n`);\n",
|
||||||
"for (const r of data ?? []) {\n",
|
"encode(error, {\n",
|
||||||
" console.log(`- ${r.contenido}`);\n",
|
" indent: 2,\n",
|
||||||
" console.log(` Similaridad: ${Number(r.similarity).toFixed(4)}\\n`);\n",
|
" delimiter: \",\",\n",
|
||||||
"}\n"
|
" keyFolding: \"off\",\n",
|
||||||
|
" flattenDepth: Infinity,\n",
|
||||||
|
"});\n"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": 10,
|
||||||
"id": "791a94d8",
|
"id": "791a94d8",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [
|
||||||
"source": []
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"{\n",
|
||||||
|
" code: \u001b[32m\"PGRST202\"\u001b[39m,\n",
|
||||||
|
" details: \u001b[32m\"Searched for the function public.buscar_documentos with parameters match_count, query_embedding or with a single unnamed json/jsonb parameter, but no matches were found in the schema cache.\"\u001b[39m,\n",
|
||||||
|
" hint: \u001b[32m\"Perhaps you meant to call the function public.unaccent\"\u001b[39m,\n",
|
||||||
|
" message: \u001b[32m\"Could not find the function public.buscar_documentos(match_count, query_embedding) in the schema cache\"\u001b[39m\n",
|
||||||
|
"}"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 10,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"error"
|
||||||
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
|
|||||||
@@ -1,6 +1,7 @@
|
|||||||
{
|
{
|
||||||
"dependencies": {
|
"dependencies": {
|
||||||
"@supabase/supabase-js": "^2.90.1",
|
"@supabase/supabase-js": "^2.90.1",
|
||||||
|
"@toon-format/toon": "^2.1.0",
|
||||||
"deno": "^2.6.4",
|
"deno": "^2.6.4",
|
||||||
"openai": "^6.16.0",
|
"openai": "^6.16.0",
|
||||||
"supabase": "^2.72.6"
|
"supabase": "^2.72.6"
|
||||||
|
|||||||
@@ -123,81 +123,7 @@ app.post(`${prefix}/conversations`, async (c) => {
|
|||||||
}
|
}
|
||||||
});
|
});
|
||||||
|
|
||||||
/**
|
|
||||||
* GET /conversations/:conversation_plan_id/messages
|
|
||||||
* Lista mensajes (assistant/user) desde OpenAI
|
|
||||||
*/
|
|
||||||
app.get(`${prefix}/conversations/:id/messages`, async (c) => {
|
|
||||||
try {
|
|
||||||
/* const auth = c.req.header("authorization");
|
|
||||||
await requireUser(auth); */
|
|
||||||
|
|
||||||
const conversation_plan_id = c.req.param("id");
|
|
||||||
assertUuid(conversation_plan_id, "conversation_plan_id");
|
|
||||||
|
|
||||||
const supabase = getSupabaseServiceClient();
|
|
||||||
const openai = getOpenAI();
|
|
||||||
|
|
||||||
const { data: convRow, error } = await supabase
|
|
||||||
.from("conversaciones_plan")
|
|
||||||
.select("openai_conversation_id, estado")
|
|
||||||
.eq("id", conversation_plan_id)
|
|
||||||
.single();
|
|
||||||
|
|
||||||
if (error || !convRow) {
|
|
||||||
throw new HttpError(
|
|
||||||
404,
|
|
||||||
"conversation_not_found",
|
|
||||||
"Conversación no encontrada",
|
|
||||||
error,
|
|
||||||
);
|
|
||||||
}
|
|
||||||
if (convRow.estado === "ARCHIVADA") {
|
|
||||||
// si ya está archivada, devolvemos lo guardado
|
|
||||||
const { data: archived } = await supabase
|
|
||||||
.from("conversaciones_plan")
|
|
||||||
.select("conversacion_json")
|
|
||||||
.eq("id", conversation_plan_id)
|
|
||||||
.single();
|
|
||||||
return withCors(
|
|
||||||
jsonResponse({
|
|
||||||
source: "supabase",
|
|
||||||
items: archived?.conversacion_json ?? null,
|
|
||||||
}),
|
|
||||||
);
|
|
||||||
}
|
|
||||||
|
|
||||||
const items = await openai.conversations.items.list(
|
|
||||||
convRow.openai_conversation_id,
|
|
||||||
);
|
|
||||||
|
|
||||||
const conversacion = items.data
|
|
||||||
.filter((it: any) =>
|
|
||||||
it.type === "message" &&
|
|
||||||
(it.role === "assistant" || it.role === "user")
|
|
||||||
)
|
|
||||||
.map((it: any) => {
|
|
||||||
const rawText = it.content.map((c: any) => c.text).join("");
|
|
||||||
|
|
||||||
let parsedContent;
|
|
||||||
|
|
||||||
try {
|
|
||||||
parsedContent = JSON.parse(rawText); // 👈 aquí lo convertimos
|
|
||||||
} catch {
|
|
||||||
parsedContent = rawText; // si no es JSON, lo dejamos normal
|
|
||||||
}
|
|
||||||
|
|
||||||
return {
|
|
||||||
role: it.role,
|
|
||||||
content: parsedContent,
|
|
||||||
};
|
|
||||||
});
|
|
||||||
|
|
||||||
return withCors(jsonResponse({ source: "openai", items: conversacion }));
|
|
||||||
} catch (err) {
|
|
||||||
return withCors(handleErr(err));
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* POST /conversations/:conversation_plan_id/messages
|
* POST /conversations/:conversation_plan_id/messages
|
||||||
@@ -285,6 +211,11 @@ app.post(`${prefix}/conversations/:id/messages`, async (c) => {
|
|||||||
"Excelente, actualmente tu plan de estudio tiene una redacción clara, pero podrías mejorar el perfil de ingreso para hacerlo más atractivo.",
|
"Excelente, actualmente tu plan de estudio tiene una redacción clara, pero podrías mejorar el perfil de ingreso para hacerlo más atractivo.",
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
|
"is_refusal": {
|
||||||
|
type: "boolean",
|
||||||
|
description:
|
||||||
|
"Indica si la respuesta es un refusal (es decir, la pregunta no tiene que ver con el plan de estudio)",
|
||||||
|
},
|
||||||
},
|
},
|
||||||
},
|
},
|
||||||
},
|
},
|
||||||
@@ -295,12 +226,62 @@ app.post(`${prefix}/conversations/:id/messages`, async (c) => {
|
|||||||
}
|
}
|
||||||
|
|
||||||
// Pedimos respuesta estructurada con responses.create
|
// Pedimos respuesta estructurada con responses.create
|
||||||
const schema = pickSchemaFields(definicion, body.campos);
|
const schema = pickSchemaFields(definicion, body.campos ?? []);
|
||||||
const planForPrompt = safePlanForPrompt(plan);
|
const planForPrompt = safePlanForPrompt(plan);
|
||||||
|
|
||||||
const model = CREATE_CHAT_CONVERSATION_STRUCTURED_MODELO;
|
const model = CREATE_CHAT_CONVERSATION_STRUCTURED_MODELO;
|
||||||
const prompt = body.user_prompt ?? body.content;
|
const prompt = body.user_prompt ?? body.content;
|
||||||
|
|
||||||
|
// append message of the user to conversacion_json (which guarantees a JSONB default to '[]')
|
||||||
|
/**
|
||||||
|
* appended includes timestamp, user, prompt and fields (if any)
|
||||||
|
*/
|
||||||
|
|
||||||
|
type AppendedMessage = {
|
||||||
|
timestamp: string;
|
||||||
|
user: string;
|
||||||
|
prompt: string;
|
||||||
|
fields?: string[];
|
||||||
|
};
|
||||||
|
|
||||||
|
type AppendedResponse = {
|
||||||
|
timestamp: string;
|
||||||
|
user: "assistant";
|
||||||
|
refusal: boolean;
|
||||||
|
message: string;
|
||||||
|
recommendations?: {
|
||||||
|
texto_mejora: string;
|
||||||
|
campo_afectado: string;
|
||||||
|
aplicada: false;
|
||||||
|
};
|
||||||
|
};
|
||||||
|
|
||||||
|
type AppendedItem = AppendedMessage | AppendedResponse;
|
||||||
|
|
||||||
|
let appended: AppendedItem = {
|
||||||
|
timestamp: new Date().toISOString(),
|
||||||
|
user: /* user.email ?? user.id ??*/ "unknown",
|
||||||
|
prompt,
|
||||||
|
fields: body.campos,
|
||||||
|
};
|
||||||
|
|
||||||
|
const { error: appendErr } = await supabase.rpc(
|
||||||
|
"append_conversacion_plan",
|
||||||
|
{
|
||||||
|
p_id: conversation_plan_id,
|
||||||
|
p_append: appended,
|
||||||
|
},
|
||||||
|
);
|
||||||
|
|
||||||
|
if (appendErr) {
|
||||||
|
throw new HttpError(
|
||||||
|
500,
|
||||||
|
"append_conversation_failed",
|
||||||
|
"No se pudo agregar el mensaje a la conversación",
|
||||||
|
appendErr,
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
const resp = await openai.responses.create({
|
const resp = await openai.responses.create({
|
||||||
conversation: row.openai_conversation_id,
|
conversation: row.openai_conversation_id,
|
||||||
model,
|
model,
|
||||||
@@ -322,6 +303,47 @@ app.post(`${prefix}/conversations/:id/messages`, async (c) => {
|
|||||||
],
|
],
|
||||||
});
|
});
|
||||||
|
|
||||||
|
const respuestaJSON = JSON.parse(resp.output_text ?? "{}");
|
||||||
|
const refusal = respuestaJSON["is-refusal"] === true;
|
||||||
|
//remove the is-refusal field from respuestaJSON to avoid confusion
|
||||||
|
delete respuestaJSON["is-refusal"];
|
||||||
|
|
||||||
|
// Now an item with the assistant response and the structured data (if any) should be
|
||||||
|
appended = {
|
||||||
|
timestamp: new Date().toISOString(),
|
||||||
|
user: "assistant",
|
||||||
|
refusal,
|
||||||
|
// the ai-message field is the response
|
||||||
|
message: respuestaJSON?.["ai-message"] ?? "",
|
||||||
|
recommendations: resp.output_text
|
||||||
|
? Object.entries(respuestaJSON).filter(([k]) => k !== "ai-message")
|
||||||
|
.map(
|
||||||
|
([campo_afectado, texto_mejora]) => ({
|
||||||
|
campo_afectado,
|
||||||
|
texto_mejora,
|
||||||
|
aplicada: false,
|
||||||
|
}),
|
||||||
|
)
|
||||||
|
: undefined,
|
||||||
|
} as AppendedResponse;
|
||||||
|
|
||||||
|
const { error: appendRespErr } = await supabase.rpc(
|
||||||
|
"append_conversacion_plan",
|
||||||
|
{
|
||||||
|
p_id: conversation_plan_id,
|
||||||
|
p_append: appended,
|
||||||
|
},
|
||||||
|
);
|
||||||
|
|
||||||
|
if (appendRespErr) {
|
||||||
|
throw new HttpError(
|
||||||
|
500,
|
||||||
|
"append_response_failed",
|
||||||
|
"No se pudo agregar la respuesta a la conversación",
|
||||||
|
appendRespErr,
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
return withCors(jsonResponse({
|
return withCors(jsonResponse({
|
||||||
ok: true,
|
ok: true,
|
||||||
openai_response_id: resp.id,
|
openai_response_id: resp.id,
|
||||||
@@ -332,91 +354,7 @@ app.post(`${prefix}/conversations/:id/messages`, async (c) => {
|
|||||||
}
|
}
|
||||||
});
|
});
|
||||||
|
|
||||||
/**
|
|
||||||
* DELETE /conversations/:conversation_plan_id/archive
|
|
||||||
* Guarda items en Supabase y elimina la conversación de OpenAI
|
|
||||||
*/
|
|
||||||
app.delete(`${prefix}/conversations/:id/archive`, async (c) => {
|
|
||||||
try {
|
|
||||||
/* const auth = c.req.header("authorization");
|
|
||||||
await requireUser(auth); */
|
|
||||||
|
|
||||||
const conversation_plan_id = c.req.param("id");
|
|
||||||
assertUuid(conversation_plan_id, "conversation_plan_id");
|
|
||||||
|
|
||||||
const supabase = getSupabaseServiceClient();
|
|
||||||
const openai = getOpenAI();
|
|
||||||
|
|
||||||
const { data: row, error } = await supabase
|
|
||||||
.from("conversaciones_plan")
|
|
||||||
.select("id, openai_conversation_id, estado")
|
|
||||||
.eq("id", conversation_plan_id)
|
|
||||||
.single();
|
|
||||||
|
|
||||||
if (error || !row) {
|
|
||||||
throw new HttpError(
|
|
||||||
404,
|
|
||||||
"conversation_not_found",
|
|
||||||
"Conversación no encontrada",
|
|
||||||
error,
|
|
||||||
);
|
|
||||||
}
|
|
||||||
|
|
||||||
if (row.estado === "ARCHIVADA") {
|
|
||||||
return withCors(jsonResponse({ ok: true, already: true }));
|
|
||||||
}
|
|
||||||
|
|
||||||
// Marcar estado
|
|
||||||
await supabase.from("conversaciones_plan")
|
|
||||||
.update({ estado: "ARCHIVANDO" })
|
|
||||||
.eq("id", conversation_plan_id);
|
|
||||||
|
|
||||||
// Descargar items de OpenAI
|
|
||||||
const items = await openai.conversations.items.list(
|
|
||||||
row.openai_conversation_id,
|
|
||||||
);
|
|
||||||
|
|
||||||
const conversacion = items.data.filter((it: any) =>
|
|
||||||
it.type === "message" && (it.role === "assistant" || it.role === "user")
|
|
||||||
).map((it: any) => ({
|
|
||||||
role: it.role,
|
|
||||||
content: it.content.map((c: any) => c.text).join(""),
|
|
||||||
}));
|
|
||||||
|
|
||||||
// Guardar y marcar como ARCHIVADA
|
|
||||||
const { error: upErr } = await supabase.from("conversaciones_plan")
|
|
||||||
.update({
|
|
||||||
estado: "ARCHIVADA",
|
|
||||||
conversacion_json: conversacion,
|
|
||||||
})
|
|
||||||
.eq("id", conversation_plan_id);
|
|
||||||
|
|
||||||
if (upErr) {
|
|
||||||
throw new HttpError(
|
|
||||||
500,
|
|
||||||
"archive_save_failed",
|
|
||||||
"No se pudo guardar el archivo en Supabase",
|
|
||||||
upErr,
|
|
||||||
);
|
|
||||||
}
|
|
||||||
|
|
||||||
// Borrar conversación en OpenAI (best effort)
|
|
||||||
try {
|
|
||||||
await openai.conversations.delete(row.openai_conversation_id);
|
|
||||||
} catch (delErr) {
|
|
||||||
// Queda archivada en Supabase, pero reportamos warning
|
|
||||||
return withCors(jsonResponse({
|
|
||||||
ok: true,
|
|
||||||
warning: "Archivada en Supabase, pero no se pudo borrar en OpenAI",
|
|
||||||
details: String(delErr),
|
|
||||||
}, 200));
|
|
||||||
}
|
|
||||||
|
|
||||||
return withCors(jsonResponse({ ok: true }));
|
|
||||||
} catch (err) {
|
|
||||||
return withCors(handleErr(err));
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Unknown routes
|
* Unknown routes
|
||||||
|
|||||||
@@ -2,7 +2,7 @@ import { HttpError } from "./errors.ts";
|
|||||||
|
|
||||||
export function pickSchemaFields(
|
export function pickSchemaFields(
|
||||||
definicion: any,
|
definicion: any,
|
||||||
campos?: string[],
|
campos: string[],
|
||||||
) {
|
) {
|
||||||
if (!definicion || definicion.type !== "object" || !definicion.properties) {
|
if (!definicion || definicion.type !== "object" || !definicion.properties) {
|
||||||
return definicion;
|
return definicion;
|
||||||
@@ -18,10 +18,15 @@ export function pickSchemaFields(
|
|||||||
"Listo: mejoré la redacción del perfil de ingreso y propuse un tema de investigación alineado al plan.",
|
"Listo: mejoré la redacción del perfil de ingreso y propuse un tema de investigación alineado al plan.",
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
|
"is-refusal": {
|
||||||
|
type: "boolean",
|
||||||
|
description:
|
||||||
|
"Indica si el plan fue rechazado por el modelo. En caso de ser true, se espera un mensaje de rechazo en `ai-message`.",
|
||||||
|
},
|
||||||
},
|
},
|
||||||
};
|
};
|
||||||
|
|
||||||
let out = structuredClone(definicion);
|
const out = structuredClone(definicion);
|
||||||
|
|
||||||
// Si piden campos, filtramos propiedades/required a esos campos
|
// Si piden campos, filtramos propiedades/required a esos campos
|
||||||
const entries = Object.entries(out.properties).filter(([k]) =>
|
const entries = Object.entries(out.properties).filter(([k]) =>
|
||||||
|
|||||||
@@ -1,5 +1,3 @@
|
|||||||
alter table "public"."conversaciones_plan" add column "nombre" text default ('Chat '::text || CURRENT_DATE);
|
alter table "public"."conversaciones_plan" add column "nombre" text default ('Chat '::text || CURRENT_DATE);
|
||||||
|
|
||||||
alter table "public"."conversaciones_plan" alter column "conversacion_json" set default '[]'::jsonb;
|
alter table "public"."conversaciones_plan" alter column "conversacion_json" set default '[]'::jsonb;
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
@@ -0,0 +1,21 @@
|
|||||||
|
CREATE OR REPLACE FUNCTION public.append_conversacion_asignatura(p_id uuid, p_append jsonb)
|
||||||
|
RETURNS void
|
||||||
|
LANGUAGE sql
|
||||||
|
AS $function$
|
||||||
|
update conversaciones_asignatura
|
||||||
|
set conversacion_json = coalesce(conversacion_json, '[]'::jsonb) || p_append
|
||||||
|
where id = p_id;
|
||||||
|
$function$
|
||||||
|
;
|
||||||
|
|
||||||
|
CREATE OR REPLACE FUNCTION public.append_conversacion_plan(p_id uuid, p_append jsonb)
|
||||||
|
RETURNS void
|
||||||
|
LANGUAGE sql
|
||||||
|
AS $function$
|
||||||
|
update conversaciones_plan
|
||||||
|
set conversacion_json = coalesce(conversacion_json, '[]'::jsonb) || p_append
|
||||||
|
where id = p_id;
|
||||||
|
$function$
|
||||||
|
;
|
||||||
|
|
||||||
|
|
||||||
Reference in New Issue
Block a user