Adrian Flores Cortes 1cdae920fc chore: Update orchestration docs, CLAUDE.md, docker-compose for Phase 2-4

- 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>

2026-01-27 04:40:59 -06:00

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01-CONTEXTO - Analisis Maestro Trading Platform

Fecha: 2026-01-27 Agente: Claude Code (Opus 4.5) - Perfil Tech-Leader/Architect Modo: @ANALYSIS (C+A+P sin ejecutar)

ESTADO ACTUAL DEL PROYECTO

Metricas Generales

Archivos totales: 2,305 (excluyendo node_modules, venv, .git)
Archivos fuente: 1,490 (TypeScript/Python/SQL)
Backend: 171 TS files, 11 modulos, 113+ endpoints
Frontend: 189 TSX files, 13 modulos, 7 stores, 7 services
ML Engine: 109 PY files, 3 niveles de modelos, backtesting framework
Database: 89 tablas, 10 schemas, 50+ enums, 31+ funciones, 60+ triggers
Documentacion: 280+ archivos markdown/yaml
Tareas completadas: 19/20 (95%)

Tareas Previas Completadas (19)

Las tareas Jan 25-27 implementaron:

Token refresh improvements (BLOCKER-001)
E2E video upload tests (153 tests)
Frontend comprehensive audit (9 epics)
ML training enhancement (29,769 LOC)
Portfolio manager implementation
Investment account detail pages
Trading panels (indicators, drawing tools, screener)
Education advanced (video upload, certificates)
Payments advanced (Stripe Elements, refunds)
Notification system complete
ML data migration MySQL->PostgreSQL
LLM assistant panels
ML utility panels

Tarea Previa EN_PROGRESO

TASK-2026-01-26-ANALYSIS-INTEGRATION-PLAN: Fases C+A+P completadas, V+E+D pendientes
- Hallazgos: 7 gaps coherencia, 4 blockers P0, 58 docs faltantes, 2,457h trabajo pendiente

DISCREPANCIAS ENCONTRADAS EN ESTA SESION

D1: Puertos Python Services (PROJECT-PROFILE.yml vs Realidad)

Servicio	PROJECT-PROFILE.yml	Real (docker-compose/env)
ml-engine	8000	3083
data-service	8001	3084
mt4-gateway	8002	3085 (llm-agent) / 3086 (agents)

D2: Schemas listados (CLAUDE.md vs DDL real)

CLAUDE.md dice: core, trading, ml, portfolio (4)
DDL real: auth, education, trading, investment, financial, portfolio, market_data, ml, llm, audit (10)

D3: Password BD

CLAUDE.md: trading_dev_2026
.env.example: trading_dev_2025
WORKSPACE-INTEGRATION.yml: trading_dev_2025

D4: ML Frameworks

PROJECT-PROFILE.yml: TensorFlow, scikit-learn, pandas
Codigo real: PyTorch, XGBoost, scikit-learn, pandas

D5: Progreso OQI Modules (CLAUDE.md desactualizado)

No refleja los 19 tasks completados Jan 25-27
Porcentajes originales vs realidad post-tareas

D6: Trading Agents Port

Backend client: 8004
DEVENV-PORTS-INVENTORY: 3086

D7: pgvector Extension

llm schema DDL: Referencia embeddings con vector type
00-extensions.sql: NO incluye pgvector

D8: Missing in LOCAL-WSL-ENVIRONMENT.yml

trading-platform NO esta listado en seccion bases_de_datos

D9: Gitea Repository

DEPLOYMENT-INVENTORY.yml: status: "pendiente_crear"
Repositorio en Gitea no creado

ALCANCE DEL ANALISIS

Este analisis cubre las siguientes areas con N niveles de subtareas:

DDL & Data Layer - Validacion completa de objetos, seeds, funciones, triggers
Backend Integration - Coherencia endpoints-entities-DDL
Frontend Integration - Coherencia components-services-endpoints
ML Pipeline - Training, backtesting, 12-month OOS exclusion
Infrastructure - WSL, Docker, puertos, credenciales
Documentation - Purga, actualizacion, definiciones faltantes
Cross-Layer Coherence - DDL->Backend->Frontend pipeline
Execution Order - Dependencias y orden logico

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