Create comprehensive TypeScript type definitions for Trading Agents (Atlas, Orion, Nova) in the frontend. - Align with backend trading-agents.client.ts interfaces - Export AgentType, AgentStatus, BotStatus types - Define TradingBot, AgentMetrics, AgentPosition, AgentTrade interfaces - Include utility functions for status mapping and display names - Full JSDoc documentation for all types - Export from main types/index.ts Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
225 lines
7.1 KiB
Markdown
225 lines
7.1 KiB
Markdown
# COHERENCE-MASTER-REPORT - Trading Platform
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**Fecha:** 2026-01-27
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**Sistema:** SIMCO v4.0.0
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**Metodologia:** CAPVED
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**Estado:** Analisis Completado
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---
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## RESUMEN EJECUTIVO
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### Metricas Globales de Coherencia
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| Capa | Total | Implementado | Cobertura | Estado |
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|------|-------|--------------|-----------|--------|
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| DDL | 89 tablas | 76 con servicio | **85%** | BUENO |
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| Backend-Frontend | 187 endpoints | 145 consumidos | **77.5%** | BUENO |
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| **PROMEDIO GLOBAL** | - | - | **81.25%** | BUENO |
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### Estado por Epica
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| Epica | DDL | Backend | Frontend | Global | Estado |
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|-------|-----|---------|----------|--------|--------|
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| OQI-001 Auth | 100% | 95% | 85% | **93%** | EXCELENTE |
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| OQI-002 Education | 100% | 90% | 96% | **95%** | EXCELENTE |
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| OQI-003 Trading | 100% | 100% | 95% | **98%** | EXCELENTE |
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| OQI-004 Investment | 100% | 90% | 100% | **97%** | EXCELENTE |
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| OQI-005 Payments | 100% | 85% | 92% | **92%** | EXCELENTE |
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| OQI-006 ML Signals | 100% | 100% | 47% | **82%** | BUENO |
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| OQI-007 LLM Agent | 100% | 100% | 67% | **89%** | BUENO |
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| OQI-008 Portfolio | 100% | 100% | 92% | **97%** | EXCELENTE |
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| OQI-009 MT4 | 0% | 0% | 0% | **0%** | NO INICIADO |
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---
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## GAPS CRITICOS CONSOLIDADOS
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### Prioridad P0 - BLOQUEANTES (Impiden produccion)
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| ID | Descripcion | Capa | Impacto | Esfuerzo |
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|----|-------------|------|---------|----------|
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| GAP-P0-001 | Password Recovery sin UI | Auth | Usuarios no pueden recuperar cuenta | 8h |
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| GAP-P0-002 | User Profile sin servicio | Users | No hay gestion de perfil | 6h |
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| GAP-P0-003 | Trading Agents sin UI | Agents | Feature core Atlas/Orion/Nova sin interfaz | 40h |
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**Total P0:** 54 horas (~1.5 semanas)
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### Prioridad P1 - CRITICOS (Afectan funcionalidad)
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| ID | Descripcion | Capa | Impacto | Esfuerzo |
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|----|-------------|------|---------|----------|
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| GAP-P1-001 | Market Data OHLCV sin servicio | Backend | Charts afectados | 16h |
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| GAP-P1-002 | Notifications sin API completa | Backend | Push notifications incompletas | 20h |
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| GAP-P1-003 | ML Chart Overlays sin UI | Frontend | Visualizacion ML no conectada | 24h |
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| GAP-P1-004 | 2FA sin flujo completo | Auth | Seguridad avanzada no disponible | 16h |
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**Total P1:** 76 horas (~2 semanas)
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### Prioridad P2 - IMPORTANTES (Mejoran experiencia)
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| ID | Descripcion | Capa | Impacto | Esfuerzo |
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|----|-------------|------|---------|----------|
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| GAP-P2-001 | Audit system sin servicios | Backend | Sin consultas de auditoria | 32h |
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| GAP-P2-002 | Currency Exchange sin servicio | Backend | Multi-moneda incompleto | 16h |
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| GAP-P2-003 | Risk Assessment sin servicio | Backend | Cuestionario riesgo desconectado | 12h |
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| GAP-P2-004 | Course Reviews sin endpoints | Backend | Reviews no disponibles | 6h |
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| GAP-P2-005 | OAuth flows incompletos | Frontend | Login social parcial | 12h |
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**Total P2:** 78 horas (~2 semanas)
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---
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## INCONSISTENCIAS ARQUITECTURALES
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### 1. Acceso Directo a Servicios Python (RIESGO ALTO)
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**Problema:** Algunos servicios frontend acceden directamente a Python sin pasar por Express:
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- `mlService.ts` -> ML Engine (3083)
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- `llmAgentService.ts` -> LLM Agent (3085)
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- `backtestService.ts` -> ML Engine (3083)
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**Riesgos:**
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- Sin autenticacion centralizada
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- CORS issues potenciales
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- Sin rate limiting consistente
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**Recomendacion:** Consolidar todo acceso via backend Express como gateway.
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### 2. Uso Inconsistente de apiClient
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**Problema:** 5 servicios NO usan `apiClient` centralizado:
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- portfolio.service.ts
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- adminService.ts
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- mlService.ts
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- llmAgentService.ts
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- backtestService.ts
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**Consecuencias:**
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- Sin auto-refresh de tokens
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- Sin retry logic
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- Manejo inconsistente de errores
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---
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## CADENAS DE DEPENDENCIA
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### Cadena 1: Trading Core
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```
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DDL(trading.bots) -> Backend(bots.service) -> Frontend(BotManager)
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-> OQI-004(Investment accounts)
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Status: DDL OK, Backend PARCIAL, Frontend SIN_UI
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```
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### Cadena 2: ML Predictions
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```
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DDL(ml.predictions) -> Backend(ml.service) -> Frontend(mlService)
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-> Charts(overlays)
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Status: DDL OK, Backend OK, Frontend PARCIAL (47%)
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```
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### Cadena 3: LLM Agent
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```
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DDL(llm.*) -> Backend(llm.service) -> Frontend(llmAgentService)
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-> Chat(panels)
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Status: DDL OK, Backend OK, Frontend PARCIAL (67%)
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```
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### Cadena 4: Notifications
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```
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DDL(auth.notifications) -> Backend(notifications) -> Frontend(notification.service)
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-> Push(FCM/APNs)
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Status: DDL OK, Backend PARCIAL, Frontend OK
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```
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---
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## ORDEN DE EJECUCION RECOMENDADO
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### Semana 1-2: Gaps P0 (Bloqueantes)
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1. Implementar Password Recovery UI (8h)
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2. Crear userService.ts + endpoints (6h)
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3. Iniciar Trading Agents UI (20h/40h)
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### Semana 3-4: Gaps P1 (Criticos)
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4. Crear marketData.service.ts (16h)
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5. Completar Notifications API (20h)
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6. ML Chart Overlays frontend (24h)
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7. 2FA flujo completo (16h)
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### Semana 5-6: Gaps P2 (Importantes)
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8. Audit system servicios (32h)
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9. Currency Exchange (16h)
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10. Risk Assessment (12h)
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11. Course Reviews + OAuth (18h)
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### Semana 7-8: Consolidacion Arquitectural
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12. Migrar acceso Python via Express
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13. Migrar servicios a apiClient
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14. Tests de integracion
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---
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## METRICAS DE VALIDACION
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### Criterios de Exito por Fase
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| Checkpoint | Criterio | Target |
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|------------|----------|--------|
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| CP-01 | Gaps P0 resueltos | 0 bloqueantes |
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| CP-02 | Cobertura DDL-Backend | >= 95% |
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| CP-03 | Cobertura Backend-Frontend | >= 90% |
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| CP-04 | Servicios usando apiClient | 100% |
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| CP-05 | Acceso Python centralizado | 100% via Express |
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### Progreso Actual vs Target
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| Metrica | Actual | Target | Gap |
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|---------|--------|--------|-----|
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| Coherencia Global | 81.25% | 95% | -13.75% |
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| Gaps P0 | 3 | 0 | -3 |
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| Gaps P1 | 4 | 0 | -4 |
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| Servicios apiClient | 64% | 100% | -36% |
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---
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## ARCHIVOS GENERADOS EN FASE 1
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| Archivo | Ubicacion | Lineas | Proposito |
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|---------|-----------|--------|-----------|
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| DDL-COMPLETE-MATRIX.yml | coherencia/ | 1,705 | Mapeo 89 tablas |
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| DDL-BACKEND-COHERENCE.yml | coherencia/ | 828 | Coherencia DDL-Backend |
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| BACKEND-FRONTEND-COHERENCE.yml | coherencia/ | 650+ | Coherencia Backend-Frontend |
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| GAPS-TRACKING.yml | coherencia/ | 431 | Tracking 18 gaps |
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| RESUMEN-EJECUTIVO.md | coherencia/ | 200+ | Executive summary |
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| README.md | coherencia/ | 150+ | Quick start |
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| _INDEX.md | coherencia/ | 100+ | Indice maestro |
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| **COHERENCE-MASTER-REPORT.md** | coherencia/ | 250+ | **ESTE ARCHIVO** |
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**Total:** ~4,500 lineas de documentacion de analisis
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---
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## CONCLUSION
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### Estado General: BUENO (81.25%)
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El proyecto trading-platform tiene una base solida con alta coherencia en las epicas core (OQI-001 a OQI-005). Sin embargo, existen **3 gaps bloqueantes** que deben resolverse antes de produccion.
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### Recomendacion: PROCEDER con prioridad en P0
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1. **Inmediato:** Resolver 3 gaps P0 (54h)
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2. **Corto plazo:** Resolver 4 gaps P1 (76h)
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3. **Medio plazo:** Resolver 5 gaps P2 (78h)
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4. **Continuo:** Consolidacion arquitectural
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### Proxima Accion
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**FASE 2:** Analisis Backend Gaps (servicios, endpoints, tests)
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**FASE 3:** Analisis Frontend Gaps (componentes, stores, E2E)
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---
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*Generado por Claude Opus 4.5 - Sistema SIMCO v4.0.0*
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*Fecha: 2026-01-27*
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