commit 7695dd0be6c81bc89cf516f5421030dc2c354547 Author: Hanzo_dev <2002samudiojohan@gmail.com> Date: Sat Mar 28 16:02:59 2026 -0500 Initial commit — Sistema Generador de Guiones V4.0 Pipeline completo: URL → Whisper → GPT-4o → pgvector → Supabase Frontend Vue 3 + Tailwind, Backend Express + Vercel serverless functions diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..17b94cb --- /dev/null +++ b/.gitignore @@ -0,0 +1,27 @@ +# Dependencias +node_modules/ + +# Variables de entorno — NUNCA subir al repo +.env +.env.local +.env.*.local + +# Build del frontend +dist/ +.vite/ + +# Logs +*.log +npm-debug.log* + +# Editor +.vscode/ +.idea/ +*.suo +*.ntvs* +*.njsproj +*.sln + +# OS +.DS_Store +Thumbs.db diff --git a/README.md b/README.md new file mode 100644 index 0000000..ccf9a42 --- /dev/null +++ b/README.md @@ -0,0 +1,70 @@ +# Sistema Generador de Guiones IA + +Este repositorio contiene el sistema completo de análisis y generación de guiones virales utilizando Whisper, GPT-4o y Supabase, con una interfaz web construida en Vue 3 y Tailwind CSS. + +## Estructura del Proyecto + +El proyecto está diseñado bajo una arquitectura modular y escalable: + +``` +/ +├── backend/ # Lógica central (API, IA, Transcripción, Embeddings) +│ ├── api/ # Serverless handlers (ej. api/analizar.js) +│ ├── lib/ # Módulos de orquestación y LLM +│ └── server.js # Servidor Express.js para testeo y desarrollo local +│ +├── frontend/ # Interfaz de usuario "Obsidian Architecture" +│ ├── src/ # Vistas en Vue 3 y componentes +│ └── tailwind... # Configuración del Design System +│ +├── database/ # Archivos SQL para gestionar Supabase +│ ├── migrations/ # Setup de tablas (schema), funciones y RLS +│ └── seeds/ # Datos de prueba para iniciar la aplicación +│ +└── docs/ # Archivos HTML originales del diseño (referencia) +``` + +## 1. Configuración de Variables de Entorno + +En la carpeta `/backend/`, crea un archivo `.env` o renombra el existente con tus credenciales: + +```env +RAPIDAPI_KEY= # Key de Social Download All In One +OPENAI_API_KEY= # Key de OpenAI para GPT-4o y Whisper +SUPABASE_URL= # URL de tu base de datos Supabase (https://xxxx.supabase.co) +SUPABASE_SERVICE_ROLE_KEY= # Tu Service Role Key (no exponer en el frontend) +``` + +## 2. Iniciar el Sistema en Local + +Abre dos terminales para correr ambos entornos en simultáneo: + +**Terminal 1 — Backend:** +```powershell +cd backend +npm install +npm run dev +``` +> El servicio de IA y base de datos estará corriendo en `http://localhost:3001` + +**Terminal 2 — Frontend:** +```powershell +cd frontend +npm install +npm run dev +``` +> La interfaz estará disponible en `http://localhost:5173` (o `5174`) + +## 3. Base de Datos (Supabase) + +Si es la primera vez que despliegas el proyecto, dirígete a la consola SQL de tu proyecto en Supabase y ejecuta los archivos de la carpeta `/database` en el siguiente orden: + +1. `database/migrations/01_schema.sql` +2. `database/migrations/02_funciones.sql` +3. `database/migrations/03_rls.sql` +4. `database/seeds/04_datos_prueba.sql` (Opcional) + +## 4. Arquitectura de Despliegue + +- **Frontend:** Preparado para desplegar de manera estática en Vercel, Netlify o Cloudflare Pages. +- **Backend:** Configurado con `vercel.json` para despliegues Serverless Edge/Node en Vercel (la ruta principal será `/api/analizar`). Alternativamente, funciona como un backend en la nube utilizando el `server.js` provisto. diff --git a/api/analizar.js b/api/analizar.js new file mode 100644 index 0000000..877dcba --- /dev/null +++ b/api/analizar.js @@ -0,0 +1 @@ +export { default } from '../backend/api/analizar.js' diff --git a/api/clientes.js b/api/clientes.js new file mode 100644 index 0000000..1892c56 --- /dev/null +++ b/api/clientes.js @@ -0,0 +1,14 @@ +import { supabase } from '../backend/lib/supabase.js' + +export default async function handler(req, res) { + if (req.method !== 'GET') return res.status(405).json({ error: 'Método no permitido' }) + + const { data, error } = await supabase + .from('clientes') + .select('id, nombre, industria') + .eq('activo', true) + .order('nombre') + + if (error) return res.status(500).json({ error: error.message }) + res.json(data) +} diff --git a/api/guiones.js b/api/guiones.js new file mode 100644 index 0000000..90d30c1 --- /dev/null +++ b/api/guiones.js @@ -0,0 +1,30 @@ +import { supabase } from '../backend/lib/supabase.js' + +export default async function handler(req, res) { + if (req.method !== 'GET') return res.status(405).json({ error: 'Método no permitido' }) + + const { niche, cliente_id, plataforma, page = 1, limit = 20 } = req.query + const offset = (Number(page) - 1) * Number(limit) + + let query = supabase + .from('guiones') + .select(` + id, niche, sub_niche, plataforma, url_origen, + gancho_texto, gancho_tipo, estructura_narrativa, trigger_emocional, + tono, score_engagement, score_virabilidad, score_cialdini, + fecha_analisis, procesado_ok, vistas, likes, compartidos, + tema_principal, resumen_patron + `, { count: 'exact' }) + .eq('procesado_ok', true) + .order('fecha_analisis', { ascending: false }) + .range(offset, offset + Number(limit) - 1) + + if (niche) query = query.eq('niche', niche) + if (cliente_id) query = query.eq('cliente_id', cliente_id) + if (plataforma) query = query.eq('plataforma', plataforma) + + const { data, error, count } = await query + if (error) return res.status(500).json({ error: error.message }) + + res.json({ guiones: data, total: count, page: Number(page), limit: Number(limit) }) +} diff --git a/api/guiones/[id].js b/api/guiones/[id].js new file mode 100644 index 0000000..74f1da3 --- /dev/null +++ b/api/guiones/[id].js @@ -0,0 +1,16 @@ +import { supabase } from '../../backend/lib/supabase.js' + +export default async function handler(req, res) { + if (req.method !== 'GET') return res.status(405).json({ error: 'Método no permitido' }) + + const { id } = req.query + + const { data, error } = await supabase + .from('guiones') + .select('*') + .eq('id', id) + .single() + + if (error) return res.status(404).json({ error: 'Guion no encontrado' }) + res.json(data) +} diff --git a/api/nichos.js b/api/nichos.js new file mode 100644 index 0000000..9dd71f6 --- /dev/null +++ b/api/nichos.js @@ -0,0 +1,15 @@ +import { supabase } from '../backend/lib/supabase.js' + +export default async function handler(req, res) { + if (req.method !== 'GET') return res.status(405).json({ error: 'Método no permitido' }) + + const { data, error } = await supabase + .from('guiones') + .select('niche') + .eq('procesado_ok', true) + + if (error) return res.status(500).json({ error: error.message }) + + const nichos = [...new Set(data.map(r => r.niche))].sort() + res.json(nichos) +} diff --git a/api/stats.js b/api/stats.js new file mode 100644 index 0000000..3b4519a --- /dev/null +++ b/api/stats.js @@ -0,0 +1,12 @@ +import { supabase } from '../backend/lib/supabase.js' + +export default async function handler(req, res) { + if (req.method !== 'GET') return res.status(405).json({ error: 'Método no permitido' }) + + const { data, error } = await supabase + .from('vista_resumen_nichos') + .select('*') + + if (error) return res.status(500).json({ error: error.message }) + res.json(data) +} diff --git a/backend/api/analizar.js b/backend/api/analizar.js new file mode 100644 index 0000000..7366597 --- /dev/null +++ b/backend/api/analizar.js @@ -0,0 +1,189 @@ +// ============================================================ +// ENDPOINT PRINCIPAL — POST /api/analizar +// Orquesta el pipeline completo: +// URL → Audio → Whisper → GPT-4o → Validar → Embedding → Supabase +// ============================================================ +import { extraerAudio } from '../lib/extractor.js' +import { transcribir } from '../lib/transcriptor.js' +import { analizarTranscript } from '../lib/analizador.js' +import { validarAnalisis } from '../lib/validador.js' +import { generarEmbedding } from '../lib/embeddings.js' +import { supabase } from '../lib/supabase.js' + +export default async function handler(req, res) { + // Solo aceptar POST + if (req.method !== 'POST') { + return res.status(405).json({ error: 'Método no permitido' }) + } + + const inicio = Date.now() + + // ── Validar body de entrada ─────────────────────────────── + const { + url, + niche, + sub_niche, + mercado_objetivo, + idioma = 'es', + cliente_id = null, + proyecto_nombre = null, + competidor_referente = false, + // Métricas manuales (la API no las devuelve) + vistas = null, + likes = null, + compartidos = null, + fecha_publicacion = null, + } = req.body + + if (!url) return res.status(400).json({ error: 'El campo "url" es requerido' }) + if (!niche) return res.status(400).json({ error: 'El campo "niche" es requerido' }) + + const URL_SOPORTADAS = /^https?:\/\/(www\.)?(tiktok\.com|vm\.tiktok\.com|instagram\.com|youtube\.com|youtu\.be)/ + if (!URL_SOPORTADAS.test(url)) { + return res.status(400).json({ error: 'URL no soportada. Solo se aceptan TikTok, Instagram Reels y YouTube Shorts.' }) + } + + let paso = 'inicio' + + try { + // ── PASO 1: Extraer audio ───────────────────────────── + paso = 'extraccion' + const { audioUrl, duracion, titulo, thumbnail, plataforma } = await extraerAudio(url) + + // ── PASO 2: Transcribir con Whisper ─────────────────── + paso = 'transcripcion' + const transcript = await transcribir(audioUrl, idioma) + + // ── PASO 3: Analizar con GPT-4o ─────────────────────── + paso = 'analisis' + const analisisRaw = await analizarTranscript(transcript, niche, plataforma, duracion) + + // ── PASO 4: Validar con Zod ─────────────────────────── + paso = 'validacion' + const analisis = validarAnalisis(analisisRaw) + + // ── PASO 5: Generar embedding vectorial ─────────────── + paso = 'embedding' + const vector = await generarEmbedding(transcript, analisis) + + // ── PASO 6: Guardar en Supabase ─────────────────────── + paso = 'guardado' + const { data: guion, error: errorSupabase } = await supabase + .from('guiones') + .insert({ + // Organización + cliente_id, + niche, + sub_niche, + mercado_objetivo, + idioma, + proyecto_nombre, + competidor_referente, + + // Metadata del video + url_origen: url, + plataforma, + duracion_segundos: duracion, + vistas, + likes, + compartidos, + fecha_publicacion, + + // Análisis de GPT-4o (campos de storytelling) + estructura_narrativa: analisis.estructura_narrativa, + gancho_tipo: analisis.gancho_tipo, + gancho_texto: analisis.gancho_texto, + gancho_duracion_seg: analisis.gancho_duracion_seg, + desarrollo_tipo: analisis.desarrollo_tipo, + cta_tipo: analisis.cta_tipo, + cta_texto: analisis.cta_texto, + arco_emocional: analisis.arco_emocional, + conflicto_central: analisis.conflicto_central, + resolucion: analisis.resolucion, + pacing_ritmo: analisis.pacing_ritmo, + numero_actos: analisis.numero_actos, + + // Cialdini + cialdini_reciprocidad: analisis.cialdini_reciprocidad, + cialdini_escasez: analisis.cialdini_escasez, + cialdini_autoridad: analisis.cialdini_autoridad, + cialdini_consistencia: analisis.cialdini_consistencia, + cialdini_prueba_social: analisis.cialdini_prueba_social, + cialdini_simpatia: analisis.cialdini_simpatia, + cialdini_unidad: analisis.cialdini_unidad, + sesgo_cognitivo: analisis.sesgo_cognitivo, + trigger_emocional: analisis.trigger_emocional, + intensidad_emocional: analisis.intensidad_emocional, + + // Neuropublicidad + atencion_visual: analisis.atencion_visual, + lenguaje_sensorial: analisis.lenguaje_sensorial, + contraste_narrativo: analisis.contraste_narrativo, + efecto_novedad: analisis.efecto_novedad, + dolor_placer: analisis.dolor_placer, + personalizacion: analisis.personalizacion, + carga_cognitiva: analisis.carga_cognitiva, + velocidad_locucion: analisis.velocidad_locucion, + uso_musica: analisis.uso_musica, + micro_compromisos: analisis.micro_compromisos, + + // Contenido + tema_principal: analisis.tema_principal, + angulo_unico: analisis.angulo_unico, + palabras_clave: analisis.palabras_clave, + transcript, + tono: analisis.tono, + persona_narradora: analisis.persona_narradora, + promesa_explicita: analisis.promesa_explicita, + nivel_especificidad: analisis.nivel_especificidad, + + // Métricas (score_engagement lo calcula el trigger de Supabase) + score_virabilidad: analisis.score_virabilidad, + resumen_patron: analisis.resumen_patron, + embedding_vector: `[${vector.join(',')}]`, + + // Auditoría + procesado_ok: true, + version_prompt: 'v1.0', + }) + .select('id, niche, score_virabilidad, resumen_patron') + .single() + + if (errorSupabase) { + throw new Error(`Supabase error: ${errorSupabase.message}`) + } + + const duracionTotal = ((Date.now() - inicio) / 1000).toFixed(1) + + return res.status(200).json({ + ok: true, + guion_id: guion.id, + niche: guion.niche, + score_virabilidad: guion.score_virabilidad, + resumen_patron: guion.resumen_patron, + tiempo_total_seg: parseFloat(duracionTotal), + }) + + } catch (err) { + console.error(`[analizar] Error en paso "${paso}":`, err.message) + + // Guardar el error en Supabase para diagnóstico + if (paso !== 'inicio') { + await supabase.from('guiones').insert({ + url_origen: url, + niche, + idioma, + cliente_id, + procesado_ok: false, + error_detalle: `[${paso}] ${err.message}`, + version_prompt: 'v1.0', + }).catch(() => {}) // silencioso si falla el insert de error + } + + return res.status(500).json({ + ok: false, + paso, + error: err.message, + }) + } +} diff --git a/backend/lib/analizador.js b/backend/lib/analizador.js new file mode 100644 index 0000000..3df2a65 --- /dev/null +++ b/backend/lib/analizador.js @@ -0,0 +1,106 @@ +// ============================================================ +// ANALIZADOR — GPT-4o +// Prompt maestro multidisciplinario: Storytelling + Cialdini +// + Neuropublicidad → JSON de 55 campos analizables +// ============================================================ +import OpenAI from 'openai' + +const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }) + +const PROMPT_SISTEMA = `Eres un experto en ingeniería de guiones para video corto (TikTok, Reels, YouTube Shorts) con especialización en: +- Storytelling y estructura narrativa +- Psicología de la persuasión (Cialdini, sesgos cognitivos) +- Neuropublicidad y neuromarketing +- Marketing de contenidos para múltiples nichos + +Tu tarea es analizar la transcripción de un video y devolver un JSON con el análisis completo. +SOLO devuelve el JSON, sin texto adicional, sin markdown, sin explicaciones.` + +/** + * @param {string} transcript Texto transcrito por Whisper + * @param {string} niche Nicho del video (ej: "fitness", "finanzas") + * @param {string} plataforma tiktok | reels | shorts + * @param {number} duracion Duración en segundos + * @returns {object} JSON con todos los campos de análisis + */ +export async function analizarTranscript(transcript, niche, plataforma, duracion) { + const promptUsuario = `Analiza este video de ${plataforma} de ${duracion} segundos del nicho "${niche}". + +TRANSCRIPCIÓN: +""" +${transcript} +""" + +Devuelve EXACTAMENTE este JSON con los valores que correspondan: + +{ + "estructura_narrativa": "", + "gancho_tipo": "", + "gancho_texto": "", + "gancho_duracion_seg": , + "desarrollo_tipo": "", + "cta_tipo": "", + "cta_texto": "", + "arco_emocional": " → → ", + "conflicto_central": "", + "resolucion": "", + "pacing_ritmo": "", + "numero_actos": <1, 2 o 3>, + + "cialdini_reciprocidad": , + "cialdini_escasez": , + "cialdini_autoridad": , + "cialdini_consistencia": , + "cialdini_prueba_social": , + "cialdini_simpatia": , + "cialdini_unidad": , + "sesgo_cognitivo": "", + "trigger_emocional": "", + "intensidad_emocional": , + + "atencion_visual": "", + "lenguaje_sensorial": , + "contraste_narrativo": , + "efecto_novedad": , + "dolor_placer": "", + "personalizacion": , + "carga_cognitiva": "", + "velocidad_locucion": "", + "uso_musica": , + "micro_compromisos": , + + "tema_principal": "", + "angulo_unico": "", + "palabras_clave": ["", "", "", "", ""], + "tono": "", + "persona_narradora": "", + "promesa_explicita": "", + "nivel_especificidad": "", + + "score_virabilidad": , + "resumen_patron": "" +}` + + const completion = await openai.chat.completions.create({ + model: 'gpt-4o', + temperature: 0.2, // baja temperatura para análisis consistente + messages: [ + { role: 'system', content: PROMPT_SISTEMA }, + { role: 'user', content: promptUsuario }, + ], + }) + + const contenido = completion.choices[0]?.message?.content?.trim() + if (!contenido) { + throw new Error('GPT-4o devolvió una respuesta vacía') + } + + // Limpiar posible markdown que GPT-4o a veces añade + const jsonLimpio = contenido + .replace(/^```json\n?/, '') + .replace(/^```\n?/, '') + .replace(/\n?```$/, '') + .trim() + + return JSON.parse(jsonLimpio) +} diff --git a/backend/lib/embeddings.js b/backend/lib/embeddings.js new file mode 100644 index 0000000..85d1155 --- /dev/null +++ b/backend/lib/embeddings.js @@ -0,0 +1,40 @@ +// ============================================================ +// EMBEDDINGS — text-embedding-3-small +// Genera el vector semántico para búsqueda con pgvector +// ============================================================ +import OpenAI from 'openai' + +const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }) + +/** + * Genera el vector de embedding para un guion. + * Vectorizamos un texto compuesto para capturar tanto el + * contenido como los patrones estructurales del video. + * + * @param {string} transcript Transcripción completa + * @param {object} analisis JSON validado de GPT-4o + * @returns {number[]} Vector de 1536 dimensiones + */ +export async function generarEmbedding(transcript, analisis) { + // Construir el texto a vectorizar combinando campos clave + // Esto hace que la búsqueda semántica encuentre videos similares + // en CONTENIDO y en ESTRUCTURA (no solo en palabras) + const textoParaVectorizar = [ + `Tema: ${analisis.tema_principal}`, + `Ángulo: ${analisis.angulo_unico}`, + `Estructura: ${analisis.estructura_narrativa}`, + `Gancho: ${analisis.gancho_texto}`, + `Conflicto: ${analisis.conflicto_central}`, + `Trigger emocional: ${analisis.trigger_emocional}`, + `Promesa: ${analisis.promesa_explicita}`, + `Patrón: ${analisis.resumen_patron}`, + `Transcript: ${transcript.slice(0, 1000)}`, // primeros 1000 chars + ].join('\n') + + const response = await openai.embeddings.create({ + model: 'text-embedding-3-small', + input: textoParaVectorizar, + }) + + return response.data[0].embedding +} diff --git a/backend/lib/extractor.js b/backend/lib/extractor.js new file mode 100644 index 0000000..8a2a4d0 --- /dev/null +++ b/backend/lib/extractor.js @@ -0,0 +1,54 @@ +// ============================================================ +// EXTRACTOR — Social Download All In One (RapidAPI) +// Devuelve la URL del audio MP3 y metadata del video +// ============================================================ + +const RAPIDAPI_HOST = 'social-download-all-in-one.p.rapidapi.com' +const RAPIDAPI_URL = `https://${RAPIDAPI_HOST}/v1/social/autolink` + +/** + * @param {string} url URL del video (TikTok, Reels, YouTube Shorts) + * @returns {{ audioUrl: string, duracion: number, titulo: string, thumbnail: string, plataforma: string }} + */ +export async function extraerAudio(url) { + const response = await fetch(RAPIDAPI_URL, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + 'x-rapidapi-host': RAPIDAPI_HOST, + 'x-rapidapi-key': process.env.RAPIDAPI_KEY, + }, + body: JSON.stringify({ url }), + }) + + if (!response.ok) { + throw new Error(`Social Download API error: ${response.status} ${response.statusText}`) + } + + const data = await response.json() + + if (data.error) { + throw new Error(`Social Download API devolvió error para la URL: ${url}`) + } + + // Buscar el media de tipo audio + const audioMedia = data.medias?.find(m => m.type === 'audio') + if (!audioMedia?.url) { + throw new Error('La API no devolvió un archivo de audio para esta URL') + } + + return { + audioUrl: audioMedia.url, + duracion: data.duration ?? null, + titulo: data.title ?? null, + thumbnail: data.thumbnail ?? null, + plataforma: detectarPlataforma(url), + } +} + +function detectarPlataforma(url) { + if (url.includes('tiktok.com')) return 'tiktok' + if (url.includes('instagram.com')) return 'reels' + if (url.includes('youtube.com') || url.includes('youtu.be')) return 'shorts' + return 'tiktok' // fallback +} diff --git a/backend/lib/supabase.js b/backend/lib/supabase.js new file mode 100644 index 0000000..fbc631e --- /dev/null +++ b/backend/lib/supabase.js @@ -0,0 +1,7 @@ +import { createClient } from '@supabase/supabase-js' + +// Service Role key: bypasea RLS, solo usar en backend +export const supabase = createClient( + process.env.SUPABASE_URL, + process.env.SUPABASE_SERVICE_ROLE_KEY +) diff --git a/backend/lib/transcriptor.js b/backend/lib/transcriptor.js new file mode 100644 index 0000000..6a31bec --- /dev/null +++ b/backend/lib/transcriptor.js @@ -0,0 +1,36 @@ +// ============================================================ +// TRANSCRIPTOR — OpenAI Whisper +// Descarga el audio desde la URL y lo transcribe +// ============================================================ +import OpenAI from 'openai' + +const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }) + +/** + * @param {string} audioUrl URL directa del MP3 (de Social Download API) + * @param {string} idioma Código de idioma: 'es', 'en', 'pt', etc. + * @returns {string} Transcripción completa del audio + */ +export async function transcribir(audioUrl, idioma = 'es') { + // Descargar el audio desde la URL del CDN + const audioResponse = await fetch(audioUrl) + if (!audioResponse.ok) { + throw new Error(`Error al descargar audio: ${audioResponse.status}`) + } + + const audioBuffer = await audioResponse.arrayBuffer() + const audioFile = new File([audioBuffer], 'audio.mp3', { type: 'audio/mpeg' }) + + const transcripcion = await openai.audio.transcriptions.create({ + file: audioFile, + model: 'whisper-1', + language: idioma === 'otro' ? undefined : idioma, // auto-detect si es 'otro' + response_format: 'text', + }) + + if (!transcripcion || transcripcion.trim().length < 10) { + throw new Error('Whisper no pudo transcribir el audio (resultado vacío o muy corto)') + } + + return transcripcion.trim() +} diff --git a/backend/lib/validador.js b/backend/lib/validador.js new file mode 100644 index 0000000..41c0337 --- /dev/null +++ b/backend/lib/validador.js @@ -0,0 +1,91 @@ +// ============================================================ +// VALIDADOR — Zod Schema +// Valida el JSON de GPT-4o antes de guardar en Supabase +// Si GPT-4o alucina un valor fuera del enum, lo atrapa aquí +// ============================================================ +import { z } from 'zod' + +const EstructuraEnum = z.enum(['AIDA','PAS','hero_journey','storybrand','antes_despues','otra']) +const GanchoTipoEnum = z.enum(['pregunta','declaracion_shock','dato_estadistica','historia','controversia','promesa_directa']) +const DesarrolloEnum = z.enum(['problema_solucion','lista','demostracion','testimonio','tutorial','storytelling_puro']) +const CtaTipoEnum = z.enum(['seguir','comentar','compartir','comprar','visitar_link','guardar','ninguno']) +const PacingEnum = z.enum(['lento','medio','rapido','variable']) +const TriggerEnum = z.enum(['miedo','esperanza','curiosidad','ira','orgullo','tristeza','sorpresa','humor']) +const AtencionVisualEnum= z.enum(['zoom_agresivo','corte_rapido','texto_pantalla','cara_camara','broll_dinamico','ninguno']) +const DolorPlacerEnum = z.enum(['apela_dolor','apela_placer','ambos']) +const CargaEnum = z.enum(['baja','media','alta']) +const VelocidadEnum = z.enum(['lenta','normal','rapida','muy_rapida']) +const TonoEnum = z.enum(['educativo','entretenimiento','inspiracional','controversial','informativo','humoristico']) +const PersonaEnum = z.enum(['primera_persona','segunda_persona','tercera_persona','mixta']) +const EspecificidadEnum = z.enum(['generico','especifico','ultra_especifico']) + +export const AnalisisSchema = z.object({ + // Storytelling + estructura_narrativa: EstructuraEnum, + gancho_tipo: GanchoTipoEnum, + gancho_texto: z.string().min(1).max(200), + gancho_duracion_seg: z.number().int().min(0).max(30), + desarrollo_tipo: DesarrolloEnum, + cta_tipo: CtaTipoEnum, + cta_texto: z.string().max(300).nullable(), + arco_emocional: z.string().min(1).max(200), + conflicto_central: z.string().min(1).max(500), + resolucion: z.string().min(1).max(500), + pacing_ritmo: PacingEnum, + numero_actos: z.number().int().min(1).max(4), + + // Cialdini + cialdini_reciprocidad: z.boolean(), + cialdini_escasez: z.boolean(), + cialdini_autoridad: z.boolean(), + cialdini_consistencia: z.boolean(), + cialdini_prueba_social: z.boolean(), + cialdini_simpatia: z.boolean(), + cialdini_unidad: z.boolean(), + sesgo_cognitivo: z.string().max(100).nullable(), + trigger_emocional: TriggerEnum, + intensidad_emocional: z.number().int().min(1).max(10), + + // Neuropublicidad + atencion_visual: AtencionVisualEnum, + lenguaje_sensorial: z.boolean(), + contraste_narrativo: z.boolean(), + efecto_novedad: z.boolean(), + dolor_placer: DolorPlacerEnum, + personalizacion: z.boolean(), + carga_cognitiva: CargaEnum, + velocidad_locucion: VelocidadEnum, + uso_musica: z.boolean(), + micro_compromisos: z.boolean(), + + // Contenido + tema_principal: z.string().min(1).max(100), + angulo_unico: z.string().min(1).max(500), + palabras_clave: z.array(z.string()).min(1).max(10), + tono: TonoEnum, + persona_narradora: PersonaEnum, + promesa_explicita: z.string().min(1).max(500), + nivel_especificidad: EspecificidadEnum, + + // Métricas calculadas por GPT-4o + score_virabilidad: z.number().int().min(1).max(100), + resumen_patron: z.string().min(10).max(1000), +}) + +/** + * Valida el JSON de GPT-4o y lanza error descriptivo si falla + * @param {object} data JSON crudo de GPT-4o + * @returns {object} Datos validados y tipados + */ +export function validarAnalisis(data) { + const resultado = AnalisisSchema.safeParse(data) + + if (!resultado.success) { + const errores = resultado.error.errors + .map(e => ` • ${e.path.join('.')}: ${e.message} (recibido: ${JSON.stringify(e.received ?? 'undefined')})`) + .join('\n') + throw new Error(`Validación GPT-4o falló:\n${errores}`) + } + + return resultado.data +} diff --git a/backend/package-lock.json b/backend/package-lock.json new file mode 100644 index 0000000..3cb0181 --- /dev/null +++ b/backend/package-lock.json @@ -0,0 +1,1289 @@ +{ + "name": "guiones-backend", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "guiones-backend", + "version": "1.0.0", + "dependencies": { + "@supabase/supabase-js": "^2.39.0", + "cors": "^2.8.5", + "dotenv": "^16.4.1", + "express": "^4.18.2", + "openai": "^4.28.0", + "zod": "^3.22.4" + }, + "engines": { + "node": ">=18" + } + }, + "node_modules/@supabase/auth-js": { + "version": "2.100.1", + "resolved": "https://registry.npmjs.org/@supabase/auth-js/-/auth-js-2.100.1.tgz", + "integrity": "sha512-c5FB4nrG7cs1mLSzFGuIVl2iR2YO5XkSJ96uF4zubYm8YDn71XOi2emE9sBm/avfGCj61jaRBLOvxEAVnpys0Q==", + "license": "MIT", + "dependencies": { + "tslib": 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}, + "scripts": { + "dev": "node --watch server.js" + }, + "dependencies": { + "@supabase/supabase-js": "^2.39.0", + "cors": "^2.8.5", + "dotenv": "^16.4.1", + "express": "^4.18.2", + "openai": "^4.28.0", + "zod": "^3.22.4" + } +} diff --git a/backend/server.js b/backend/server.js new file mode 100644 index 0000000..311721e --- /dev/null +++ b/backend/server.js @@ -0,0 +1,190 @@ +import 'dotenv/config' +import express from 'express' +import cors from 'cors' +import { extraerAudio } from './lib/extractor.js' +import { transcribir } from './lib/transcriptor.js' +import { analizarTranscript } from './lib/analizador.js' +import { validarAnalisis } from './lib/validador.js' +import { generarEmbedding } from './lib/embeddings.js' +import { supabase } from './lib/supabase.js' + +// ── Validar variables de entorno requeridas ────────────────── +const REQUIRED_ENV = ['OPENAI_API_KEY', 'SUPABASE_URL', 'SUPABASE_SERVICE_ROLE_KEY', 'RAPIDAPI_KEY'] +const missingVars = REQUIRED_ENV.filter(k => !process.env[k]) +if (missingVars.length > 0) { + console.error(`\n❌ Variables de entorno faltantes: ${missingVars.join(', ')}\n Configura el archivo backend/.env antes de iniciar.\n`) + process.exit(1) +} + +const app = express() +const PORT = process.env.PORT || 3001 + +app.use(cors({ origin: process.env.ALLOWED_ORIGIN || 'http://localhost:5173' })) +app.use(express.json()) + +// ── GET /api/guiones ──────────────────────────────────────── +// Lista todos los guiones con paginación y filtros +app.get('/api/guiones', async (req, res) => { + const { niche, cliente_id, plataforma, page = 1, limit = 20 } = req.query + const offset = (page - 1) * limit + + let query = supabase + .from('guiones') + .select(` + id, niche, sub_niche, plataforma, url_origen, + gancho_texto, estructura_narrativa, trigger_emocional, + tono, score_engagement, score_virabilidad, score_cialdini, + fecha_analisis, procesado_ok, vistas, likes, compartidos, + tema_principal, resumen_patron + `, { count: 'exact' }) + .eq('procesado_ok', true) + .order('fecha_analisis', { ascending: false }) + .range(offset, offset + limit - 1) + + if (niche) query = query.eq('niche', niche) + if (cliente_id) query = query.eq('cliente_id', cliente_id) + if (plataforma) query = query.eq('plataforma', plataforma) + + const { data, error, count } = await query + + if (error) return res.status(500).json({ error: error.message }) + res.json({ guiones: data, total: count, page: Number(page), limit: Number(limit) }) +}) + +// ── GET /api/guiones/:id ──────────────────────────────────── +// Detalle completo de un guion +app.get('/api/guiones/:id', async (req, res) => { + const { data, error } = await supabase + .from('guiones') + .select('*') + .eq('id', req.params.id) + .single() + + if (error) return res.status(404).json({ error: 'Guion no encontrado' }) + res.json(data) +}) + +// ── GET /api/nichos ───────────────────────────────────────── +// Lista de nichos distintos para el selector del formulario +app.get('/api/nichos', async (req, res) => { + const { data, error } = await supabase + .from('guiones') + .select('niche') + .eq('procesado_ok', true) + + if (error) return res.status(500).json({ error: error.message }) + + const nichos = [...new Set(data.map(r => r.niche))].sort() + res.json(nichos) +}) + +// ── GET /api/clientes ─────────────────────────────────────── +app.get('/api/clientes', async (req, res) => { + const { data, error } = await supabase + .from('clientes') + .select('id, nombre, industria') + .eq('activo', true) + .order('nombre') + + if (error) return res.status(500).json({ error: error.message }) + res.json(data) +}) + +// ── GET /api/stats ────────────────────────────────────────── +// Estadísticas para el dashboard +app.get('/api/stats', async (req, res) => { + const { data, error } = await supabase + .from('vista_resumen_nichos') + .select('*') + + if (error) return res.status(500).json({ error: error.message }) + res.json(data) +}) + +// ── POST /api/analizar ────────────────────────────────────── +// Pipeline completo: URL → Audio → Whisper → GPT-4o → Supabase +app.post('/api/analizar', async (req, res) => { + const { + url, niche, sub_niche, mercado_objetivo, + idioma = 'es', cliente_id = null, proyecto_nombre = null, + competidor_referente = false, + vistas = null, likes = null, compartidos = null, + fecha_publicacion = null, + } = req.body + + if (!url) return res.status(400).json({ error: 'El campo "url" es requerido' }) + if (!niche) return res.status(400).json({ error: 'El campo "niche" es requerido' }) + + const URL_SOPORTADAS = /^https?:\/\/(www\.)?(tiktok\.com|vm\.tiktok\.com|instagram\.com|youtube\.com|youtu\.be)/ + if (!URL_SOPORTADAS.test(url)) { + return res.status(400).json({ error: 'URL no soportada. Solo se aceptan TikTok, Instagram Reels y YouTube Shorts.' }) + } + + const inicio = Date.now() + let paso = 'inicio' + + try { + paso = 'extraccion' + console.log(`[1/5] Extrayendo audio de: ${url}`) + const { audioUrl, duracion, plataforma } = await extraerAudio(url) + + paso = 'transcripcion' + console.log(`[2/5] Transcribiendo audio (${duracion}s)...`) + const transcript = await transcribir(audioUrl, idioma) + + paso = 'analisis' + console.log(`[3/5] Analizando con GPT-4o...`) + const analisisRaw = await analizarTranscript(transcript, niche, plataforma, duracion) + + paso = 'validacion' + console.log(`[4/5] Validando schema...`) + const analisis = validarAnalisis(analisisRaw) + + paso = 'embedding' + console.log(`[5/5] Generando embedding y guardando...`) + const vector = await generarEmbedding(transcript, analisis) + + const { data: guion, error: errorSupabase } = await supabase + .from('guiones') + .insert({ + cliente_id, niche, sub_niche, mercado_objetivo, idioma, + proyecto_nombre, competidor_referente, + url_origen: url, plataforma, duracion_segundos: duracion, + vistas, likes, compartidos, fecha_publicacion, + ...analisis, + transcript, + embedding_vector: `[${vector.join(',')}]`, + procesado_ok: true, + version_prompt: 'v1.0', + }) + .select('id, niche, score_virabilidad, resumen_patron') + .single() + + if (errorSupabase) throw new Error(`Supabase: ${errorSupabase.message}`) + + const segundos = ((Date.now() - inicio) / 1000).toFixed(1) + console.log(`✓ Completado en ${segundos}s — ID: ${guion.id}`) + + res.json({ + ok: true, + guion_id: guion.id, + niche: guion.niche, + score_virabilidad: guion.score_virabilidad, + resumen_patron: guion.resumen_patron, + tiempo_total_seg: parseFloat(segundos), + }) + + } catch (err) { + console.error(`✗ Error en paso "${paso}":`, err.message) + await supabase.from('guiones').insert({ + url_origen: url, niche, idioma, cliente_id, + procesado_ok: false, + error_detalle: `[${paso}] ${err.message}`, + version_prompt: 'v1.0', + }).catch(() => {}) + + res.status(500).json({ ok: false, paso, error: err.message }) + } +}) + +app.listen(PORT, () => console.log(`Backend local corriendo en http://localhost:${PORT}`)) diff --git a/backend/vercel.json b/backend/vercel.json new file mode 100644 index 0000000..b743f3b --- /dev/null +++ b/backend/vercel.json @@ -0,0 +1,7 @@ +{ + "functions": { + "api/*.js": { + "maxDuration": 60 + } + } +} diff --git a/database/migrations/01_schema.sql b/database/migrations/01_schema.sql new file mode 100644 index 0000000..9484942 --- /dev/null +++ b/database/migrations/01_schema.sql @@ -0,0 +1,189 @@ +-- ============================================================ +-- FASE 1 — SCHEMA PRINCIPAL +-- Sistema de Ingeniería de Guiones V4.0 +-- Ejecutar en Supabase SQL Editor en este orden exacto +-- ============================================================ + +-- 1. EXTENSIÓN VECTORIAL +create extension if not exists vector; + +-- ============================================================ +-- 2. ENUMS (tipos controlados) +-- ============================================================ + +create type plataforma_enum as enum ('tiktok', 'reels', 'shorts'); + +create type estructura_narrativa_enum as enum ( + 'AIDA', 'PAS', 'hero_journey', 'storybrand', 'antes_despues', 'otra' +); + +create type gancho_tipo_enum as enum ( + 'pregunta', 'declaracion_shock', 'dato_estadistica', 'historia', 'controversia', 'promesa_directa' +); + +create type desarrollo_tipo_enum as enum ( + 'problema_solucion', 'lista', 'demostracion', 'testimonio', 'tutorial', 'storytelling_puro' +); + +create type cta_tipo_enum as enum ( + 'seguir', 'comentar', 'compartir', 'comprar', 'visitar_link', 'guardar', 'ninguno' +); + +create type pacing_enum as enum ('lento', 'medio', 'rapido', 'variable'); + +create type trigger_emocional_enum as enum ( + 'miedo', 'esperanza', 'curiosidad', 'ira', 'orgullo', 'tristeza', 'sorpresa', 'humor' +); + +create type atencion_visual_enum as enum ( + 'zoom_agresivo', 'corte_rapido', 'texto_pantalla', 'cara_camara', 'broll_dinamico', 'ninguno' +); + +create type dolor_placer_enum as enum ('apela_dolor', 'apela_placer', 'ambos'); + +create type carga_cognitiva_enum as enum ('baja', 'media', 'alta'); + +create type velocidad_locucion_enum as enum ('lenta', 'normal', 'rapida', 'muy_rapida'); + +create type tono_enum as enum ( + 'educativo', 'entretenimiento', 'inspiracional', 'controversial', 'informativo', 'humoristico' +); + +create type persona_narradora_enum as enum ( + 'primera_persona', 'segunda_persona', 'tercera_persona', 'mixta' +); + +create type nivel_especificidad_enum as enum ('generico', 'especifico', 'ultra_especifico'); + +create type idioma_enum as enum ('es', 'en', 'pt', 'fr', 'otro'); + +-- ============================================================ +-- 3. TABLA CLIENTES +-- ============================================================ + +create table clientes ( + id uuid primary key default gen_random_uuid(), + nombre text not null, + industria text not null, + sub_industrias text[], -- nichos específicos del cliente + mercados text[], -- países/regiones que atiende + activo boolean default true, + notas text, + fecha_alta timestamp with time zone default now() +); + +-- ============================================================ +-- 4. TABLA PRINCIPAL: GUIONES +-- ============================================================ + +create table guiones ( + + -- ── BLOQUE 0: Identificadores ────────────────────────────── + id uuid primary key default gen_random_uuid(), + cliente_id uuid references clientes(id) on delete set null, + + -- ── BLOQUE 1: Organización de Agencia ───────────────────── + niche text not null, + sub_niche text, + mercado_objetivo text, + idioma idioma_enum default 'es', + proyecto_nombre text, + competidor_referente boolean default false, -- video analizado de la competencia + + -- ── BLOQUE 2: Metadata del Video ────────────────────────── + url_origen text, + plataforma plataforma_enum, + duracion_segundos integer, + vistas bigint, + likes bigint, + compartidos bigint, + fecha_publicacion date, + + -- ── BLOQUE 3: Storytelling ───────────────────────────────── + estructura_narrativa estructura_narrativa_enum, + gancho_tipo gancho_tipo_enum, + gancho_texto text, -- primeras 3-7 palabras del video + gancho_duracion_seg integer, + desarrollo_tipo desarrollo_tipo_enum, + cta_tipo cta_tipo_enum, + cta_texto text, + arco_emocional text, -- ej: "curiosidad → sorpresa → alivio" + conflicto_central text, + resolucion text, + pacing_ritmo pacing_enum, + numero_actos integer check (numero_actos between 1 and 4), + + -- ── BLOQUE 4: Psicología / Cialdini ─────────────────────── + cialdini_reciprocidad boolean default false, + cialdini_escasez boolean default false, + cialdini_autoridad boolean default false, + cialdini_consistencia boolean default false, + cialdini_prueba_social boolean default false, + cialdini_simpatia boolean default false, + cialdini_unidad boolean default false, + sesgo_cognitivo text, -- ej: "FOMO", "Efecto halo", "Anclaje" + trigger_emocional trigger_emocional_enum, + intensidad_emocional integer check (intensidad_emocional between 1 and 10), + + -- ── BLOQUE 5: Neuropublicidad ────────────────────────────── + atencion_visual atencion_visual_enum, + lenguaje_sensorial boolean default false, + contraste_narrativo boolean default false, -- antes/después, ellos/nosotros + efecto_novedad boolean default false, -- algo inesperado en primeros 3s + dolor_placer dolor_placer_enum, + personalizacion boolean default false, -- habla directamente al "tú" + carga_cognitiva carga_cognitiva_enum, + velocidad_locucion velocidad_locucion_enum, + uso_musica boolean default false, + micro_compromisos boolean default false, -- pequeño compromiso antes del CTA + + -- ── BLOQUE 6: Análisis de Contenido ─────────────────────── + tema_principal text, + angulo_unico text, + palabras_clave text[], + transcript text, + tono tono_enum, + persona_narradora persona_narradora_enum, + promesa_explicita text, + nivel_especificidad nivel_especificidad_enum, + + -- ── BLOQUE 7: Métricas Calculadas ───────────────────────── + score_engagement numeric(6,4), -- (likes + compartidos*3) / vistas * 100 + score_virabilidad integer check (score_virabilidad between 1 and 100), + score_cialdini integer generated always as ( + (cialdini_reciprocidad::int + cialdini_escasez::int + + cialdini_autoridad::int + cialdini_consistencia::int + + cialdini_prueba_social::int + cialdini_simpatia::int + + cialdini_unidad::int) + ) stored, + resumen_patron text, -- párrafo generado por GPT-4o + embedding_vector vector(1536), -- text-embedding-3-small + + -- ── BLOQUE 8: Auditoría del Sistema ─────────────────────── + fecha_analisis timestamp with time zone default now(), + version_prompt text default 'v1.0', -- versión del prompt que generó el análisis + procesado_ok boolean default false, -- false si hubo error en el pipeline + error_detalle text -- log del error si procesado_ok = false + +); + +-- ============================================================ +-- 5. ÍNDICES DE RENDIMIENTO +-- ============================================================ + +-- Búsqueda rápida por niche (el más frecuente en queries de agencia) +create index idx_guiones_niche on guiones(niche); + +-- Búsqueda por cliente +create index idx_guiones_cliente on guiones(cliente_id); + +-- Filtro por plataforma y engagement para rankings +create index idx_guiones_engagement on guiones(score_engagement desc nulls last); + +-- Índice HNSW para búsqueda vectorial semántica (el más rápido para pgvector) +create index idx_guiones_vector on guiones + using hnsw (embedding_vector vector_cosine_ops) + with (m = 16, ef_construction = 64); + +-- Índice compuesto niche + engagement para resumen_patrones() +create index idx_guiones_niche_engagement on guiones(niche, score_engagement desc nulls last); diff --git a/database/migrations/02_funciones.sql b/database/migrations/02_funciones.sql new file mode 100644 index 0000000..2648695 --- /dev/null +++ b/database/migrations/02_funciones.sql @@ -0,0 +1,238 @@ +-- ============================================================ +-- FASE 1 — FUNCIONES DE INTELIGENCIA +-- Sistema de Ingeniería de Guiones V4.0 +-- Ejecutar DESPUÉS de 01_schema.sql +-- ============================================================ + + +-- ============================================================ +-- FUNCIÓN 1: buscar_guiones_similares() +-- Encuentra los N guiones más parecidos semánticamente +-- filtrando por niche para que los referentes sean relevantes +-- ============================================================ + +create or replace function buscar_guiones_similares( + p_vector vector(1536), -- embedding del texto a comparar + p_niche text, -- niche para filtrar (obligatorio) + p_limite integer default 5, + p_cliente_id uuid default null, -- opcional: filtrar por cliente + p_solo_exitosos boolean default true -- si true, solo score_engagement > 0 +) +returns table ( + id uuid, + niche text, + sub_niche text, + plataforma plataforma_enum, + gancho_texto text, + estructura_narrativa estructura_narrativa_enum, + trigger_emocional trigger_emocional_enum, + score_engagement numeric(6,4), + score_virabilidad integer, + score_cialdini integer, + resumen_patron text, + similitud float +) +language sql stable +as $$ + select + g.id, + g.niche, + g.sub_niche, + g.plataforma, + g.gancho_texto, + g.estructura_narrativa, + g.trigger_emocional, + g.score_engagement, + g.score_virabilidad, + g.score_cialdini, + g.resumen_patron, + 1 - (g.embedding_vector <=> p_vector) as similitud + from guiones g + where + g.procesado_ok = true + and g.embedding_vector is not null + and g.niche = p_niche + and (p_cliente_id is null or g.cliente_id = p_cliente_id) + and (not p_solo_exitosos or (g.score_engagement is not null and g.score_engagement > 0)) + order by + g.embedding_vector <=> p_vector -- menor distancia coseno = más similar + limit p_limite; +$$; + + +-- ============================================================ +-- FUNCIÓN 2: resumen_patrones() +-- Agrega los patrones ganadores de un niche para el generador +-- Retorna un JSON estructurado que se enviará a GPT-4o +-- como contexto al generar guiones nuevos +-- ============================================================ + +create or replace function resumen_patrones( + p_niche text, + p_cliente_id uuid default null, + p_top_n integer default 20, -- cuántos guiones top analizar + p_min_engagement numeric default 0.1 -- filtro mínimo de engagement +) +returns json +language plpgsql stable +as $$ +declare + v_resultado json; +begin + with top_guiones as ( + -- Seleccionar los mejores guiones del niche + select * + from guiones + where + niche = p_niche + and procesado_ok = true + and score_engagement >= p_min_engagement + and (p_cliente_id is null or cliente_id = p_cliente_id) + order by score_engagement desc + limit p_top_n + ), + conteos as ( + select + -- Storytelling patterns + mode() within group (order by estructura_narrativa) as estructura_dominante, + mode() within group (order by gancho_tipo) as gancho_dominante, + mode() within group (order by cta_tipo) as cta_dominante, + mode() within group (order by pacing_ritmo) as pacing_dominante, + + -- Psicología patterns + mode() within group (order by trigger_emocional) as trigger_dominante, + mode() within group (order by sesgo_cognitivo) as sesgo_dominante, + avg(intensidad_emocional) as intensidad_promedio, + + -- Cialdini frecuencias + round(avg(cialdini_reciprocidad::int) * 100) as pct_reciprocidad, + round(avg(cialdini_escasez::int) * 100) as pct_escasez, + round(avg(cialdini_autoridad::int) * 100) as pct_autoridad, + round(avg(cialdini_consistencia::int) * 100) as pct_consistencia, + round(avg(cialdini_prueba_social::int) * 100) as pct_prueba_social, + round(avg(cialdini_simpatia::int) * 100) as pct_simpatia, + round(avg(cialdini_unidad::int) * 100) as pct_unidad, + + -- Neuropublicidad patterns + mode() within group (order by atencion_visual) as atencion_dominante, + mode() within group (order by dolor_placer) as dolor_placer_dominante, + round(avg(lenguaje_sensorial::int) * 100) as pct_lenguaje_sensorial, + round(avg(contraste_narrativo::int) * 100) as pct_contraste, + round(avg(efecto_novedad::int) * 100) as pct_novedad, + + -- Contenido patterns + mode() within group (order by tono) as tono_dominante, + mode() within group (order by persona_narradora) as persona_dominante, + mode() within group (order by nivel_especificidad) as especificidad_dominante, + + -- Métricas generales + avg(score_engagement) as engagement_promedio, + avg(score_virabilidad) as virabilidad_promedio, + avg(score_cialdini) as cialdini_promedio, + avg(duracion_segundos) as duracion_promedio, + count(*) as total_analizados + + from top_guiones + ) + select json_build_object( + 'niche', p_niche, + 'total_analizados', c.total_analizados, + 'fecha_generado', now(), + 'metricas_promedio', json_build_object( + 'engagement', round(c.engagement_promedio::numeric, 4), + 'virabilidad', round(c.virabilidad_promedio::numeric, 1), + 'cialdini_score', round(c.cialdini_promedio::numeric, 1), + 'duracion_seg', round(c.duracion_promedio::numeric, 0) + ), + 'storytelling', json_build_object( + 'estructura_dominante', c.estructura_dominante, + 'gancho_dominante', c.gancho_dominante, + 'cta_dominante', c.cta_dominante, + 'pacing_dominante', c.pacing_dominante + ), + 'psicologia', json_build_object( + 'trigger_dominante', c.trigger_dominante, + 'sesgo_dominante', c.sesgo_dominante, + 'intensidad_promedio', round(c.intensidad_promedio::numeric, 1), + 'cialdini_frecuencias', json_build_object( + 'reciprocidad', c.pct_reciprocidad, + 'escasez', c.pct_escasez, + 'autoridad', c.pct_autoridad, + 'consistencia', c.pct_consistencia, + 'prueba_social', c.pct_prueba_social, + 'simpatia', c.pct_simpatia, + 'unidad', c.pct_unidad + ) + ), + 'neuropublicidad', json_build_object( + 'atencion_dominante', c.atencion_dominante, + 'dolor_placer_dominante', c.dolor_placer_dominante, + 'pct_lenguaje_sensorial', c.pct_lenguaje_sensorial, + 'pct_contraste_narrativo', c.pct_contraste, + 'pct_efecto_novedad', c.pct_novedad + ), + 'contenido', json_build_object( + 'tono_dominante', c.tono_dominante, + 'persona_dominante', c.persona_dominante, + 'especificidad_dominante', c.especificidad_dominante + ) + ) into v_resultado + from conteos c; + + return v_resultado; +end; +$$; + + +-- ============================================================ +-- FUNCIÓN 3: calcular_score_engagement() +-- Trigger para calcular automáticamente score_engagement +-- cuando se inserta o actualiza vistas/likes/compartidos +-- ============================================================ + +create or replace function calcular_score_engagement() +returns trigger +language plpgsql +as $$ +begin + if new.vistas is not null and new.vistas > 0 then + new.score_engagement := round( + ((coalesce(new.likes, 0) + coalesce(new.compartidos, 0) * 3)::numeric + / new.vistas::numeric * 100)::numeric, + 4 + ); + else + new.score_engagement := null; + end if; + return new; +end; +$$; + +create trigger trg_calcular_engagement + before insert or update of vistas, likes, compartidos + on guiones + for each row + execute function calcular_score_engagement(); + + +-- ============================================================ +-- FUNCIÓN 4: guiones_por_niche() +-- Vista de resumen rápido para el dashboard +-- ============================================================ + +create or replace view vista_resumen_nichos as +select + g.niche, + g.cliente_id, + c.nombre as cliente_nombre, + count(*) as total_guiones, + round(avg(g.score_engagement)::numeric, 4) as engagement_promedio, + round(avg(g.score_virabilidad)::numeric, 1) as virabilidad_promedio, + round(avg(g.score_cialdini)::numeric, 1) as cialdini_promedio, + max(g.score_engagement) as mejor_engagement, + max(g.fecha_analisis) as ultimo_analisis +from guiones g +left join clientes c on c.id = g.cliente_id +where g.procesado_ok = true +group by g.niche, g.cliente_id, c.nombre +order by engagement_promedio desc nulls last; diff --git a/database/migrations/03_rls.sql b/database/migrations/03_rls.sql new file mode 100644 index 0000000..e496f8f --- /dev/null +++ b/database/migrations/03_rls.sql @@ -0,0 +1,80 @@ +-- ============================================================ +-- FASE 1 — ROW LEVEL SECURITY (RLS) +-- Sistema de Ingeniería de Guiones V4.0 +-- Ejecutar DESPUÉS de 01_schema.sql y 02_funciones.sql +-- ============================================================ +-- IMPORTANTE: En Supabase, las políticas RLS controlan qué +-- filas puede ver/editar cada usuario autenticado. +-- El usuario autenticado se obtiene con auth.uid(). +-- ============================================================ + + +-- ── Habilitar RLS en ambas tablas ───────────────────────── +alter table clientes enable row level security; +alter table guiones enable row level security; + + +-- ============================================================ +-- TABLA: clientes +-- ============================================================ + +-- Los usuarios autenticados pueden ver todos los clientes. +-- Si en el futuro cada usuario es de una agencia específica, +-- se puede agregar un campo agencia_id y filtrar aquí. +create policy "clientes_select" + on clientes for select + to authenticated + using (true); + +create policy "clientes_insert" + on clientes for insert + to authenticated + with check (true); + +create policy "clientes_update" + on clientes for update + to authenticated + using (true); + +-- Solo usuarios con rol 'admin' pueden eliminar clientes +create policy "clientes_delete" + on clientes for delete + to authenticated + using (auth.jwt() ->> 'role' = 'admin'); + + +-- ============================================================ +-- TABLA: guiones +-- ============================================================ + +-- Cualquier usuario autenticado puede leer guiones +create policy "guiones_select" + on guiones for select + to authenticated + using (true); + +-- Cualquier usuario autenticado puede insertar guiones +create policy "guiones_insert" + on guiones for insert + to authenticated + with check (true); + +-- Actualización permitida para todos los autenticados +create policy "guiones_update" + on guiones for update + to authenticated + using (true); + +-- Solo admin puede eliminar guiones +create policy "guiones_delete" + on guiones for delete + to authenticated + using (auth.jwt() ->> 'role' = 'admin'); + + +-- ============================================================ +-- ACCESO DE SERVICIO (Service Role) +-- El backend de Vercel usa la SERVICE_ROLE key de Supabase +-- que bypasea RLS automáticamente — no necesita políticas. +-- NUNCA exponer la SERVICE_ROLE key en el frontend. +-- ============================================================ diff --git a/database/seeds/04_datos_prueba.sql b/database/seeds/04_datos_prueba.sql new file mode 100644 index 0000000..60ca784 --- /dev/null +++ b/database/seeds/04_datos_prueba.sql @@ -0,0 +1,74 @@ +-- ============================================================ +-- FASE 1 — DATOS DE PRUEBA +-- Sistema de Ingeniería de Guiones V4.0 +-- Ejecutar ÚLTIMO para validar que el schema funciona +-- ============================================================ + +-- 1. Insertar clientes de ejemplo +insert into clientes (nombre, industria, sub_industrias, mercados) values + ('Agencia Demo', 'Marketing Digital', array['redes sociales', 'contenido'], array['MX', 'CO', 'AR']), + ('Cliente Fitness', 'Salud y Bienestar', array['fitness', 'nutricion'], array['MX', 'US']), + ('Cliente Finanzas', 'Finanzas Personales', array['inversion', 'ahorro', 'cripto'], array['MX', 'CO']); + +-- 2. Insertar guion de ejemplo para validar el schema completo +-- (el embedding_vector se llenará cuando el backend procese videos reales) +insert into guiones ( + niche, sub_niche, mercado_objetivo, idioma, proyecto_nombre, + plataforma, duracion_segundos, + vistas, likes, compartidos, fecha_publicacion, + estructura_narrativa, gancho_tipo, gancho_texto, gancho_duracion_seg, + desarrollo_tipo, cta_tipo, cta_texto, + arco_emocional, conflicto_central, resolucion, + pacing_ritmo, numero_actos, + cialdini_reciprocidad, cialdini_escasez, cialdini_autoridad, + cialdini_consistencia, cialdini_prueba_social, cialdini_simpatia, + cialdini_unidad, + sesgo_cognitivo, trigger_emocional, intensidad_emocional, + atencion_visual, lenguaje_sensorial, contraste_narrativo, + efecto_novedad, dolor_placer, personalizacion, carga_cognitiva, + velocidad_locucion, uso_musica, micro_compromisos, + tema_principal, angulo_unico, palabras_clave, + transcript, tono, persona_narradora, promesa_explicita, + nivel_especificidad, score_virabilidad, resumen_patron, + procesado_ok, version_prompt +) values ( + 'fitness', 'pérdida de peso', 'MX', 'es', 'Campaña Verano 2025', + 'reels', 45, + 850000, 62000, 18000, '2025-01-15', + 'PAS', 'pregunta', '¿Por qué no bajas de peso aunque...', 4, + 'problema_solucion', 'seguir', 'Sígueme para más tips', + 'frustración → esperanza → motivación', + 'La persona hace todo bien pero no ve resultados', + 'El problema es el cortisol, no las calorías', + 'rapido', 3, + true, false, true, + false, true, true, + false, + 'Sesgo de confirmación', 'curiosidad', 8, + 'cara_camara', true, true, + true, 'apela_dolor', true, 'baja', + 'rapida', true, false, + 'pérdida de peso', 'ataca el cortisol como causa real, no las calorías', + array['cortisol', 'bajar de peso', 'metabolismo', 'fitness'], + '¿Por qué no bajas de peso aunque comes bien y haces ejercicio? El problema no son las calorías. Es el cortisol...', + 'educativo', 'segunda_persona', 'Aprenderás por qué tu cuerpo retiene grasa a pesar del ejercicio', + 'ultra_especifico', 87, + 'Video educativo que ataca creencia falsa común. Usa pregunta retórica como gancho, autoridad con dato científico y prueba social implícita.', + true, 'v1.0' +); + +-- 3. Verificar que el trigger calculó el score de engagement +select + id, + niche, + vistas, + likes, + compartidos, + score_engagement, + score_cialdini +from guiones +where niche = 'fitness'; + +-- Resultado esperado: +-- score_engagement = (62000 + 18000*3) / 850000 * 100 = 13.647... +-- score_cialdini = 4 (reciprocidad + autoridad + prueba_social + simpatia) diff --git a/docs/reference_design/analysis_detail.html b/docs/reference_design/analysis_detail.html new file mode 100644 index 0000000..f32d619 --- /dev/null +++ b/docs/reference_design/analysis_detail.html @@ -0,0 +1,455 @@ + + + + + +Guiones IA - Analysis Detail View + + + + + + + + + + + +
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+

Alex Rivera

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Creative Director

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+
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+ +
+
+ +
+
+
+88 +Virality Score +
+
+
+ +
+ +

The 5 AM Productivity Myth: Scientific Breakdown

+
+High Performance +
+timer +12:45 Runtime +
+
+visibility +Est. 1.2M Reach +
+
+
+ + +
+ +
+ +
+
+auto_stories +

Storytelling Architecture

+
+
+
+ +

+ "We've been lied to about the morning." — A curiosity gap combined with an authority challenge that spikes retention in the first 7 seconds. +

+
+
+ +
+
+
+anchor +
+Hook +
+
+
+
+psychology_alt +
+Rising +
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+mountain_flag +
+Climax +
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+ads_click +
+CTA +
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+Intrigue +Confusion +Revelation +Empowerment +
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+ +
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+lightbulb +

Psychological Framework

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+ +
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+Authority +
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+Consensus +
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+Scarcity +
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+Unity +
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+Consistency +
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+Reciprocity +
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+Liking +
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🧩
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+

Intellectual Reframing

+

The content challenges the viewer's ego by suggesting their "hard work" might be inefficient.

+
+
+
+
+

+ "The use of Unity here is subtle: connecting the viewer with 'Elite Performers' who don't follow the mainstream 5 AM advice." +

+
+
+
+ +
+
+neurology +

Neuromarketing Insights

+
+
+
+
+ +92% +
+
+
+
+

High motion density in first 60s keeps dopamine firing high.

+
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+ +
+Low +
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+ +Auditory-First +
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+ +
+ +
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+
Frame 1024: Peak Focus
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+
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+ +
+
+
+stylus_note +

Content Synthesis

+
+
+
+
+ +
+ Assertive & Data-Driven + verified +
+
+
+ +
Aspiring Solopreneurs
+
+
+
+ +

+ "Master your biology to achieve in 4 hours what others do in 14." +

+
+
+ +
+Circadian Rhythm +Dopamine Baseline +Deep Work +Productivity Trap +Biohacking +
+
+
+
+
+ +
+ + +
+
+

[00:00] Look, we've all seen the videos. The 5 AM morning routine, the ice bath, the immediate meditation. But what if I told you that for 60% of people, this is actually destroying your productivity?

+

[01:15] Research from the Sleep Science Institute shows that forcing your chronotype into a schedule it wasn't designed for causes a permanent state of brain fog known as social jetlag.

+

[02:45] Today we're breaking down the bio-individual approach to high-performance work...

+

...[Click to expand full analysis]

+
+
+
+
+ +
+ + +
+ +
+ + +
+ \ No newline at end of file diff --git a/docs/reference_design/dashboard.html b/docs/reference_design/dashboard.html new file mode 100644 index 0000000..76fb9fc --- /dev/null +++ b/docs/reference_design/dashboard.html @@ -0,0 +1,393 @@ + + + + + +Guiones IA - Marketing Pro Dashboard + + + + + + + + + + + +
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Growth Lead

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Engineering Hub

+

Transforming high-performance viral data into editorial script masterpieces.

+
+
+ + +
+
+ +
+ +
+
+Top Niche +trending_up +
+

Finance

+
++12.4% +vs last month +
+
+ +
+
+Virality Score +bolt +
+

82/100

+
+
+
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+ +
+
+Analyzed Videos +videocam +
+

142

+

Processed in last 7 days

+
+ +
+
+Top Platform +favorite +
+

TikTok

+
+Viral Dominance +
+
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+ +
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+

Analyzed Videos Pipeline

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PlatformNicheNarrative StructureEmotional TriggerViralityEng. %CialdiniAction
+TikTok + +Marketing +Hook-Problem-SolutionUrgency +
+94 +
+
+
+
+		4.2% +
+ + + + + +3/7 +
+		 + +
+Reels + +E-commerce +Product-Benefit-CTACuriosity +
+78 +
+
+
+
+		3.8% +
+ + + + + +5/7 +
+		 + +
+Shorts + +Finance +Education-Shock-ValueAuthority +
+62 +
+
+
+
+		5.1% +
+ + + + + +1/7 +
+		 + +
+TikTok + +Personal Brand +Vlog-Insight-CallBelonging +
+88 +
+
+
+
+		2.9% +
+ + + + + +4/7 +
+		 + +
+
+
+Showing 1-4 of 142 results +
+ + + + +
+
+
+ +
+
+ +
+
+Algorithm Pick +

Mastering the 'Debt-Free' Hook Strategy for 2024

+

Our AI detected a 340% spike in narrative hooks using "negative visualization" in the personal finance niche.

+ +
+
+
+
+auto_awesome +
+

Smart Recommendations

+

Based on your recent analyses, we recommend switching your Hook structure to "Pattern Interrupt" for YouTube Shorts to capture 1.2s more average watch time.

+
    +
  • + + Increase visual pacing in first 3s +
    • +
  • + + Use higher contrast text overlays +
    • +
  • + + Leverage "FOMO" emotional trigger +
    • +
+ +
+
+
+ \ No newline at end of file diff --git a/docs/reference_design/index.html b/docs/reference_design/index.html new file mode 100644 index 0000000..9a8acf4 --- /dev/null +++ b/docs/reference_design/index.html @@ -0,0 +1,14 @@ + + + + + + Guiones IA + + + + +
+ + + diff --git a/docs/reference_design/new_analysis.html b/docs/reference_design/new_analysis.html new file mode 100644 index 0000000..d7a6db0 --- /dev/null +++ b/docs/reference_design/new_analysis.html @@ -0,0 +1,313 @@ + + + + + +New Analysis - Guiones IA + + + + + + + + + + + +
+
+
+search + +
+
+
+ +
+ +
+
+
+ +
+
+ +
+

Engineer New Analysis

+

Transform content data into high-converting AI script models with Obsidian Architecture.

+
+ +
+ +
+ +
+
+check +
+Audio Extracted +
+ +
+
+check +
+Transcribed +
+ +
+
+psychology +
+GPT-4o Analysis +
+ +
+
+memory +
+Embedding +
+ +
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+storage +
+Saving +
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+ +
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+ +
+ +
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+link +
+ +
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+expand_more +
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+ +
+ +
+ +
+language +
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+ +
+ +
+ +
+group +
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+ +
+

+show_chart + Content Metrics (Optional) +

+
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+ + +
+
+ + +
+
+ + +
+
+
+ +
+
+info +Processing typically takes 45-60 seconds. +
+
+ + +
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+ +
+
+smart_toy +

Neural Transcription

+

Multi-speaker recognition and punctuation recovery powered by Whisper v3 Large.

+
+
+auto_awesome +

Hook Extraction

+

Identifies the exact second the viral hook ends and the narrative retention begins.

+
+
+database +

Vector Storage

+

Embeddings are saved in your private Knowledge Base for future script synthesis.

+
+
+
+
+ \ No newline at end of file diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..9a8acf4 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,14 @@ + + + + + + Guiones IA + + + + +
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b/frontend/postcss.config.js new file mode 100644 index 0000000..2e7af2b --- /dev/null +++ b/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/frontend/src/App.vue b/frontend/src/App.vue new file mode 100644 index 0000000..7f308be --- /dev/null +++ b/frontend/src/App.vue @@ -0,0 +1,31 @@ + + + + + diff --git a/frontend/src/components/CialdiniItem.vue b/frontend/src/components/CialdiniItem.vue new file mode 100644 index 0000000..72403df --- /dev/null +++ b/frontend/src/components/CialdiniItem.vue @@ -0,0 +1,15 @@ + + + diff --git a/frontend/src/components/DataRow.vue b/frontend/src/components/DataRow.vue new file mode 100644 index 0000000..e2f2210 --- /dev/null +++ b/frontend/src/components/DataRow.vue @@ -0,0 +1,30 @@ + + + diff --git a/frontend/src/components/SideNavBar.vue b/frontend/src/components/SideNavBar.vue new file mode 100644 index 0000000..af66b41 --- /dev/null +++ b/frontend/src/components/SideNavBar.vue @@ -0,0 +1,45 @@ + + + diff --git a/frontend/src/components/TopAppBar.vue b/frontend/src/components/TopAppBar.vue new file mode 100644 index 0000000..d378c1c --- /dev/null +++ b/frontend/src/components/TopAppBar.vue @@ -0,0 +1,26 @@ + + + diff --git a/frontend/src/lib/api.js b/frontend/src/lib/api.js new file mode 100644 index 0000000..f703783 --- /dev/null +++ b/frontend/src/lib/api.js @@ -0,0 +1,22 @@ +const BASE = '/api' + +async function request(path, options = {}) { + const res = await fetch(`${BASE}${path}`, { + headers: { 'Content-Type': 'application/json' }, + ...options, + }) + const data = await res.json() + if (!res.ok) throw new Error(data.error || `Error ${res.status}`) + return data +} + +export const api = { + guiones: { + listar: (params = {}) => request('/guiones?' + new URLSearchParams(params)), + obtener: (id) => request(`/guiones/${id}`), + }, + analizar: (body) => request('/analizar', { method: 'POST', body: JSON.stringify(body) }), + nichos: () => request('/nichos'), + clientes: () => request('/clientes'), + stats: () => request('/stats'), +} diff --git a/frontend/src/main.js b/frontend/src/main.js new file mode 100644 index 0000000..62036dc --- /dev/null +++ b/frontend/src/main.js @@ -0,0 +1,7 @@ +import { createApp } from 'vue' +import { createPinia } from 'pinia' +import router from './router/index.js' +import App from './App.vue' +import './style.css' + +createApp(App).use(createPinia()).use(router).mount('#app') diff --git a/frontend/src/router/index.js b/frontend/src/router/index.js new file mode 100644 index 0000000..eb638a2 --- /dev/null +++ b/frontend/src/router/index.js @@ -0,0 +1,43 @@ +import { createRouter, createWebHistory } from 'vue-router' +import DashboardView from '../views/DashboardView.vue' +import AnalysisCreateView from '../views/AnalysisCreateView.vue' +import AnalysisDetailView from '../views/AnalysisDetailView.vue' + +const routes = [ + { + path: '/', + name: 'Dashboard', + component: DashboardView + }, + { + path: '/new-analysis', + name: 'AnalysisCreate', + component: AnalysisCreateView + }, + { + path: '/analysis/:id', + name: 'AnalysisDetail', + component: AnalysisDetailView + }, + // Placeholders for sidebar consistency + { + path: '/analysis', + name: 'AnalysisList', + redirect: '/' + }, + { + path: '/scripts', + name: 'Scripts', + component: () => import('../views/DashboardView.vue') // Placeholder + }, + { + path: '/settings', + name: 'Settings', + component: () => import('../views/DashboardView.vue') // Placeholder + } +] + +export default createRouter({ + history: createWebHistory(), + routes +}) diff --git a/frontend/src/style.css b/frontend/src/style.css new file mode 100644 index 0000000..ff5c075 --- /dev/null +++ b/frontend/src/style.css @@ -0,0 +1,35 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@layer base { + ::-webkit-scrollbar { width: 6px; height: 6px; } + ::-webkit-scrollbar-track { @apply bg-surface; } + ::-webkit-scrollbar-thumb { @apply bg-surface-container-highest rounded-full; } +} + +@layer utilities { + .material-symbols-outlined { + font-variation-settings: 'FILL' 0, 'wght' 300, 'GRAD' 0, 'opsz' 24; + } + .glass-panel { + background: rgba(31, 31, 38, 0.6); + backdrop-filter: blur(20px); + } + .neon-glow { + text-shadow: 0 0 10px rgba(78, 222, 163, 0.4); + } + .radial-gradient-score { + background: conic-gradient(from 0deg, #4edea3 88%, #1f1f26 0%); + } + .step-pulse { + box-shadow: 0 0 0 0 rgba(192, 193, 255, 0.4); + animation: pulse 2s infinite; + } +} + +@keyframes pulse { + 0% { box-shadow: 0 0 0 0 rgba(192, 193, 255, 0.4); } + 70% { box-shadow: 0 0 0 10px rgba(192, 193, 255, 0); } + 100% { box-shadow: 0 0 0 0 rgba(192, 193, 255, 0); } +} diff --git a/frontend/src/views/AnalysisCreateView.vue b/frontend/src/views/AnalysisCreateView.vue new file mode 100644 index 0000000..82ab862 --- /dev/null +++ b/frontend/src/views/AnalysisCreateView.vue @@ -0,0 +1,238 @@ + + + diff --git a/frontend/src/views/AnalysisDetailView.vue b/frontend/src/views/AnalysisDetailView.vue new file mode 100644 index 0000000..0e3208b --- /dev/null +++ b/frontend/src/views/AnalysisDetailView.vue @@ -0,0 +1,231 @@ + + + diff --git a/frontend/src/views/DashboardView.vue b/frontend/src/views/DashboardView.vue new file mode 100644 index 0000000..6915fcc --- /dev/null +++ b/frontend/src/views/DashboardView.vue @@ -0,0 +1,222 @@ + + + diff --git a/frontend/tailwind.config.js b/frontend/tailwind.config.js new file mode 100644 index 0000000..a01a776 --- /dev/null +++ b/frontend/tailwind.config.js @@ -0,0 +1,67 @@ +/** @type {import('tailwindcss').Config} */ +export default { + darkMode: "class", + content: ['./index.html', './src/**/*.{vue,js}'], + theme: { + extend: { + colors: { + "on-tertiary-fixed": "#301400", + "tertiary-fixed": "#ffdcc5", + "primary-container": "#8083ff", + "on-tertiary-fixed-variant": "#703700", + "surface-container-low": "#1b1b22", + "on-primary-container": "#0d0096", + "on-error-container": "#ffdad6", + "secondary": "#4edea3", + "surface-container-high": "#2a2931", + "surface": "#13131a", + "error-container": "#93000a", + "on-secondary-fixed-variant": "#005236", + "surface-container-lowest": "#0e0e15", + "surface-container": "#1f1f26", + "primary": "#c0c1ff", + "on-secondary-container": "#00311f", + "tertiary-fixed-dim": "#ffb783", + "on-surface": "#e4e1ec", + "surface-dim": "#13131a", + "outline": "#908fa0", + "on-error": "#690005", + "on-primary-fixed-variant": "#2f2ebe", + "inverse-on-surface": "#303038", + "surface-container-highest": "#34343c", + "surface-bright": "#393840", + "tertiary-container": "#d97721", + "background": "#13131a", + "secondary-container": "#00a572", + "secondary-fixed-dim": "#4edea3", + "on-tertiary": "#4f2500", + "primary-fixed-dim": "#c0c1ff", + "on-primary-fixed": "#07006c", + "on-primary": "#1000a9", + "on-surface-variant": "#c7c4d7", + "surface-variant": "#34343c", + "secondary-fixed": "#6ffbbe", + "outline-variant": "#464554", + "error": "#ffb4ab", + "inverse-surface": "#e4e1ec", + "on-tertiary-container": "#452000", + "inverse-primary": "#494bd6", + "on-background": "#e4e1ec", + "on-secondary": "#003824", + "surface-tint": "#c0c1ff", + "tertiary": "#ffb783", + "on-secondary-fixed": "#002113", + "primary-fixed": "#e1e0ff" + }, + fontFamily: { + "headline": ["Manrope", "sans-serif"], + "body": ["Inter", "sans-serif"], + "label": ["Inter", "sans-serif"] + }, + } + }, + plugins: [ + require('@tailwindcss/forms'), + require('@tailwindcss/container-queries') + ], +} diff --git a/frontend/vite.config.js b/frontend/vite.config.js new file mode 100644 index 0000000..6cad1a3 --- /dev/null +++ b/frontend/vite.config.js @@ -0,0 +1,15 @@ +import { defineConfig } from 'vite' +import vue from '@vitejs/plugin-vue' + +export default defineConfig({ + plugins: [vue()], + server: { + port: 5173, + proxy: { + '/api': { + target: 'http://localhost:3001', + changeOrigin: true, + } + } + } +}) diff --git a/package.json b/package.json new file mode 100644 index 0000000..4f2c724 --- /dev/null +++ b/package.json @@ -0,0 +1,12 @@ +{ + "name": "guiones-sistema", + "version": "1.0.0", + "private": true, + "type": "module", + "engines": { "node": "18.x" }, + "dependencies": { + "@supabase/supabase-js": "^2.39.0", + "openai": "^4.28.0", + "zod": "^3.22.4" + } +} diff --git a/vercel.json b/vercel.json new file mode 100644 index 0000000..9d5ca1e --- /dev/null +++ b/vercel.json @@ -0,0 +1,10 @@ +{ + "buildCommand": "cd frontend && npm install && npm run build", + "outputDirectory": "frontend/dist", + "functions": { + "api/**/*.js": { "maxDuration": 60 } + }, + "rewrites": [ + { "source": "/:path*", "destination": "/index.html" } + ] +}