rckrdmrd
c1b5081208
ML Engine Updates: - Updated BTCUSD with Polygon API data (2024-2025): 215,699 new records - Re-trained all ML models: Attention (R²: 0.223), Base, Metamodel (87.3% confidence) - Backtest results: +176.71R profit with aggressive_filter strategy Documentation Consolidation: - Created docs/99-analisis/_MAP.md index with 13 new analysis documents - Consolidated inventories: removed duplicates from orchestration/inventarios/ - Updated ML_INVENTORY.yml with BTCUSD metrics and training results - Added execution reports: FASE11-BTCUSD, correction issues, alignment validation Architecture & Integration: - Updated all module documentation with NEXUS v3.4 frontmatter - Fixed _MAP.md indexes across all folders - Updated orchestration plans and traces Files: 229 changed, 5064 insertions(+), 1872 deletions(-) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
416 lines
11 KiB
YAML
416 lines
11 KiB
YAML
# =============================================================================
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# ENVIRONMENT-INVENTORY.yml - TRADING-PLATFORM
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# =============================================================================
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# Inventario de Entorno de Desarrollo
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# Generado por: @PERFIL_DEVENV
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# Basado en: orchestration/templates/TEMPLATE-ENVIRONMENT-INVENTORY.yml
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# =============================================================================
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version: "1.0.0"
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fecha_creacion: "2026-01-04"
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fecha_actualizacion: "2026-01-04"
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responsable: "@PERFIL_DEVENV"
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# -----------------------------------------------------------------------------
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# IDENTIFICACION DEL PROYECTO
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# -----------------------------------------------------------------------------
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proyecto:
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nombre: "Trading Platform"
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alias: "trading"
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nivel: "NIVEL_2A"
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tipo: "standalone"
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estado: "desarrollo"
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descripcion: "Plataforma de trading algoritmico con ML"
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# -----------------------------------------------------------------------------
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# HERRAMIENTAS Y RUNTIME
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# -----------------------------------------------------------------------------
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herramientas:
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runtime:
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node:
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version: "20.x"
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requerido: true
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notas: "Para backend NestJS y frontend React"
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python:
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version: "3.11"
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requerido: true
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notas: "Para servicios ML y trading agents"
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package_managers:
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npm:
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version: "10.x"
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requerido: true
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pip:
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version: "23.x"
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requerido: true
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poetry:
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version: "1.7.x"
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requerido: false
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notas: "Opcional para servicios Python"
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build_tools:
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- nombre: "Vite"
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version: "5.x"
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uso: "Frontend build"
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- nombre: "TypeScript"
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version: "5.x"
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uso: "Compilacion TS"
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- nombre: "NestJS CLI"
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version: "10.x"
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uso: "Backend build"
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linters:
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- nombre: "ESLint"
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version: "8.x"
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config: ".eslintrc.js"
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- nombre: "Prettier"
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version: "3.x"
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config: ".prettierrc"
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- nombre: "Ruff"
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version: "0.1.x"
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config: "pyproject.toml"
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uso: "Python linting"
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testing:
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- nombre: "Jest"
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version: "29.x"
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tipo: "unit backend"
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config: "jest.config.js"
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- nombre: "Vitest"
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version: "1.x"
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tipo: "unit frontend"
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config: "vitest.config.ts"
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- nombre: "Pytest"
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version: "7.x"
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tipo: "unit python"
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config: "pytest.ini"
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# -----------------------------------------------------------------------------
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# SERVICIOS Y PUERTOS
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# -----------------------------------------------------------------------------
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servicios:
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frontend:
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nombre: "trading-frontend"
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framework: "React"
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version: "18.x"
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puerto: 3080
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comando_dev: "npm run dev"
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ubicacion: "apps/frontend/"
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url_local: "http://localhost:3080"
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backend:
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nombre: "trading-backend"
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framework: "NestJS"
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version: "10.x"
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puerto: 3081
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comando_dev: "npm run start:dev"
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ubicacion: "apps/backend/"
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url_local: "http://localhost:3081"
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api_prefix: "/api/v1"
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websocket:
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nombre: "trading-websocket"
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puerto: 3082
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uso: "Real-time market data"
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ml_engine:
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nombre: "ml-engine"
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framework: "FastAPI"
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puerto: 3083
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comando_dev: "uvicorn main:app --reload --port 3083"
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ubicacion: "apps/ml-engine/"
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url_local: "http://localhost:3083"
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data_service:
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nombre: "data-service"
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framework: "FastAPI"
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puerto: 3084
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comando_dev: "uvicorn main:app --reload --port 3084"
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ubicacion: "apps/data-service/"
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url_local: "http://localhost:3084"
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llm_agent:
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nombre: "llm-agent"
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framework: "FastAPI"
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puerto: 3085
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comando_dev: "uvicorn main:app --reload --port 3085"
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ubicacion: "apps/llm-agent/"
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url_local: "http://localhost:3085"
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trading_agents:
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nombre: "trading-agents"
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framework: "FastAPI"
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puerto: 3086
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comando_dev: "uvicorn main:app --reload --port 3086"
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ubicacion: "apps/trading-agents/"
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url_local: "http://localhost:3086"
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ollama_webui:
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nombre: "ollama-webui"
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puerto: 3087
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url_local: "http://localhost:3087"
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ollama:
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nombre: "ollama"
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puerto: 11434
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url_local: "http://localhost:11434"
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# -----------------------------------------------------------------------------
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# BASE DE DATOS
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# -----------------------------------------------------------------------------
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base_de_datos:
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principal:
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engine: "PostgreSQL"
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version: "15"
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host: "localhost"
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puerto: 5432
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ambientes:
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development:
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nombre: "trading_platform"
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usuario: "trading_user"
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password_ref: "DB_PASSWORD en .env"
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test:
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nombre: "trading_test"
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usuario: "trading_user"
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password_ref: "DB_PASSWORD en .env"
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schemas:
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- nombre: "public"
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descripcion: "Schema principal"
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- nombre: "trading"
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descripcion: "Trading data y estrategias"
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- nombre: "analytics"
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descripcion: "Analisis y reportes"
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conexion_ejemplo: "postgresql://trading_user:{password}@localhost:5432/trading_platform"
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secundaria:
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nombre: "trading_trading"
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uso: "data-service historical data"
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usuario: "trading_user"
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puerto: 5432
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redis:
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host: "localhost"
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puerto: 6379
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uso: "cache, sessions, real-time data"
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# -----------------------------------------------------------------------------
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# VARIABLES DE ENTORNO
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# -----------------------------------------------------------------------------
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variables_entorno:
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archivo_ejemplo: "apps/backend/.env.example"
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variables:
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- nombre: "NODE_ENV"
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descripcion: "Ambiente de ejecucion"
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requerido: true
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sensible: false
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ejemplo: "development"
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- nombre: "PORT"
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descripcion: "Puerto del servidor backend"
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requerido: true
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sensible: false
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ejemplo: "3081"
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- nombre: "DATABASE_URL"
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descripcion: "Connection string de PostgreSQL"
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requerido: true
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sensible: true
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ejemplo: "postgresql://trading_user:password@localhost:5432/trading_platform"
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- nombre: "REDIS_URL"
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descripcion: "Connection string de Redis"
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requerido: true
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sensible: false
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ejemplo: "redis://localhost:6379"
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- nombre: "JWT_SECRET"
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descripcion: "Secreto para JWT"
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requerido: true
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sensible: true
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ejemplo: ""
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- nombre: "OLLAMA_HOST"
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descripcion: "Host de Ollama para LLM"
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requerido: false
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sensible: false
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ejemplo: "http://localhost:11434"
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- nombre: "FRONTEND_URL"
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descripcion: "URL del frontend"
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requerido: true
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sensible: false
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ejemplo: "http://localhost:3080"
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# -----------------------------------------------------------------------------
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# CONTENEDORES DOCKER
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# -----------------------------------------------------------------------------
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docker:
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compose_file: "docker-compose.yml"
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services:
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- nombre: "db"
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imagen: "postgres:15-alpine"
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puerto_host: 5432
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puerto_container: 5432
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volumes:
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- "postgres_data:/var/lib/postgresql/data"
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- nombre: "redis"
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imagen: "redis:7-alpine"
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puerto_host: 6379
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puerto_container: 6379
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- nombre: "ollama"
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imagen: "ollama/ollama"
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puerto_host: 11434
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puerto_container: 11434
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volumes:
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- "ollama_data:/root/.ollama"
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volumes:
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- nombre: "postgres_data"
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descripcion: "Datos de PostgreSQL"
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- nombre: "ollama_data"
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descripcion: "Modelos de Ollama"
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networks:
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- nombre: "trading_network"
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driver: "bridge"
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# -----------------------------------------------------------------------------
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# SCRIPTS DE DESARROLLO
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# -----------------------------------------------------------------------------
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scripts:
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setup:
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descripcion: "Configurar entorno desde cero"
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pasos:
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- "npm install"
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- "pip install -r requirements.txt"
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- "cp .env.example .env"
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- "docker-compose up -d db redis"
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- "npm run migration:run"
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desarrollo:
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frontend: "cd apps/frontend && npm run dev"
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backend: "cd apps/backend && npm run start:dev"
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ml_engine: "cd apps/ml-engine && uvicorn main:app --reload --port 3083"
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all_python: "./scripts/start-python-services.sh"
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testing:
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unit_ts: "npm run test"
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unit_python: "pytest"
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e2e: "npm run test:e2e"
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build:
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frontend: "cd apps/frontend && npm run build"
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backend: "cd apps/backend && npm run build"
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# -----------------------------------------------------------------------------
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# INSTRUCCIONES DE SETUP
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# -----------------------------------------------------------------------------
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setup_instrucciones: |
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## Setup del Entorno de Desarrollo - Trading Platform
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### Prerequisitos
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- Node.js 20.x
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- Python 3.11
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- PostgreSQL 15 (o Docker)
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- Redis 7 (o Docker)
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- npm 10.x, pip
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### Pasos
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1. Clonar repositorio:
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```bash
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git clone <url_repo>
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cd trading-platform
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```
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2. Instalar dependencias Node:
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```bash
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npm install
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```
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3. Instalar dependencias Python:
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```bash
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pip install -r requirements.txt
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```
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4. Configurar variables de entorno:
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```bash
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cp .env.example .env
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# Editar .env con valores locales
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```
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5. Levantar servicios Docker:
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```bash
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docker-compose up -d db redis ollama
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```
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6. Ejecutar migraciones:
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```bash
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npm run migration:run
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```
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7. Iniciar desarrollo:
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```bash
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# Terminal 1 - Backend
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cd apps/backend && npm run start:dev
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# Terminal 2 - Frontend
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cd apps/frontend && npm run dev
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# Terminal 3 - ML Engine
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cd apps/ml-engine && uvicorn main:app --reload --port 3083
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```
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### Verificar
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- Frontend: http://localhost:3080
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- Backend: http://localhost:3081/api/v1
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- ML Engine: http://localhost:3083/docs
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- WebSocket: ws://localhost:3082
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# -----------------------------------------------------------------------------
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# TROUBLESHOOTING
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# -----------------------------------------------------------------------------
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troubleshooting:
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- problema: "Puertos en rango 3080-3087 en uso"
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solucion: "Verificar con lsof -i :308X. Terminar proceso conflictivo"
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- problema: "Error de conexion a BD"
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solucion: "Verificar que PostgreSQL esta corriendo. Revisar credenciales en .env"
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- problema: "Ollama no responde"
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solucion: "docker-compose logs ollama. Verificar que el modelo esta descargado"
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- problema: "Servicios Python fallan"
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solucion: "Verificar version Python 3.11. pip install -r requirements.txt"
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# -----------------------------------------------------------------------------
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# REFERENCIAS
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# -----------------------------------------------------------------------------
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referencias:
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perfil_devenv: "orchestration/agents/perfiles/PERFIL-DEVENV.md"
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inventario_master: "orchestration/inventarios/DEVENV-MASTER-INVENTORY.yml"
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inventario_puertos: "orchestration/inventarios/DEVENV-PORTS-INVENTORY.yml"
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contexto_proyecto: "orchestration/00-guidelines/CONTEXTO-PROYECTO.md"
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# =============================================================================
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# FIN DE INVENTARIO
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# =============================================================================
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