1cdae920fc
- Update CLAUDE.md with project-level instructions - Update docker-compose.yml with correct service ports - Update PROJECT-PROFILE.yml with current module status - Update PROJECT-STATUS.md with Phase 2/4 progress - Update PROXIMA-ACCION.md with current priorities - Purge stale sprint reports from _archive - Add TASK-2026-01-27-MASTER-ANALYSIS-PLAN documentation Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
98 lines
3.5 KiB
Markdown
98 lines
3.5 KiB
Markdown
# 01-CONTEXTO - Analisis Maestro Trading Platform
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**Fecha:** 2026-01-27
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**Agente:** Claude Code (Opus 4.5) - Perfil Tech-Leader/Architect
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**Modo:** @ANALYSIS (C+A+P sin ejecutar)
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---
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## ESTADO ACTUAL DEL PROYECTO
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### Metricas Generales
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- **Archivos totales:** 2,305 (excluyendo node_modules, venv, .git)
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- **Archivos fuente:** 1,490 (TypeScript/Python/SQL)
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- **Backend:** 171 TS files, 11 modulos, 113+ endpoints
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- **Frontend:** 189 TSX files, 13 modulos, 7 stores, 7 services
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- **ML Engine:** 109 PY files, 3 niveles de modelos, backtesting framework
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- **Database:** 89 tablas, 10 schemas, 50+ enums, 31+ funciones, 60+ triggers
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- **Documentacion:** 280+ archivos markdown/yaml
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- **Tareas completadas:** 19/20 (95%)
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### Tareas Previas Completadas (19)
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Las tareas Jan 25-27 implementaron:
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- Token refresh improvements (BLOCKER-001)
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- E2E video upload tests (153 tests)
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- Frontend comprehensive audit (9 epics)
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- ML training enhancement (29,769 LOC)
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- Portfolio manager implementation
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- Investment account detail pages
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- Trading panels (indicators, drawing tools, screener)
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- Education advanced (video upload, certificates)
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- Payments advanced (Stripe Elements, refunds)
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- Notification system complete
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- ML data migration MySQL->PostgreSQL
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- LLM assistant panels
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- ML utility panels
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### Tarea Previa EN_PROGRESO
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- **TASK-2026-01-26-ANALYSIS-INTEGRATION-PLAN:** Fases C+A+P completadas, V+E+D pendientes
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- Hallazgos: 7 gaps coherencia, 4 blockers P0, 58 docs faltantes, 2,457h trabajo pendiente
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---
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## DISCREPANCIAS ENCONTRADAS EN ESTA SESION
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### D1: Puertos Python Services (PROJECT-PROFILE.yml vs Realidad)
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| Servicio | PROJECT-PROFILE.yml | Real (docker-compose/env) |
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|----------|--------------------|-----------------------------|
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| ml-engine | 8000 | 3083 |
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| data-service | 8001 | 3084 |
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| mt4-gateway | 8002 | 3085 (llm-agent) / 3086 (agents) |
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### D2: Schemas listados (CLAUDE.md vs DDL real)
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- **CLAUDE.md dice:** core, trading, ml, portfolio (4)
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- **DDL real:** auth, education, trading, investment, financial, portfolio, market_data, ml, llm, audit (10)
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### D3: Password BD
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- **CLAUDE.md:** trading_dev_2026
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- **.env.example:** trading_dev_2025
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- **WORKSPACE-INTEGRATION.yml:** trading_dev_2025
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### D4: ML Frameworks
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- **PROJECT-PROFILE.yml:** TensorFlow, scikit-learn, pandas
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- **Codigo real:** PyTorch, XGBoost, scikit-learn, pandas
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### D5: Progreso OQI Modules (CLAUDE.md desactualizado)
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- No refleja los 19 tasks completados Jan 25-27
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- Porcentajes originales vs realidad post-tareas
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### D6: Trading Agents Port
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- **Backend client:** 8004
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- **DEVENV-PORTS-INVENTORY:** 3086
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### D7: pgvector Extension
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- **llm schema DDL:** Referencia embeddings con vector type
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- **00-extensions.sql:** NO incluye pgvector
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### D8: Missing in LOCAL-WSL-ENVIRONMENT.yml
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- trading-platform NO esta listado en seccion bases_de_datos
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### D9: Gitea Repository
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- **DEPLOYMENT-INVENTORY.yml:** status: "pendiente_crear"
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- Repositorio en Gitea no creado
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---
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## ALCANCE DEL ANALISIS
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Este analisis cubre las siguientes areas con N niveles de subtareas:
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1. **DDL & Data Layer** - Validacion completa de objetos, seeds, funciones, triggers
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2. **Backend Integration** - Coherencia endpoints-entities-DDL
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3. **Frontend Integration** - Coherencia components-services-endpoints
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4. **ML Pipeline** - Training, backtesting, 12-month OOS exclusion
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5. **Infrastructure** - WSL, Docker, puertos, credenciales
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6. **Documentation** - Purga, actualizacion, definiciones faltantes
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7. **Cross-Layer Coherence** - DDL->Backend->Frontend pipeline
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8. **Execution Order** - Dependencias y orden logico
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