rckrdmrd
ea1879f4ad
- Configure workspace Git repository with comprehensive .gitignore - Add Odoo as submodule for ERP reference code - Include documentation: SETUP.md, GIT-STRUCTURE.md - Add gitignore templates for projects (backend, frontend, database) - Structure supports independent repos per project/subproject level Workspace includes: - core/ - Reusable patterns, modules, orchestration system - projects/ - Active projects (erp-suite, gamilit, trading-platform, etc.) - knowledge-base/ - Reference code and patterns (includes Odoo submodule) - devtools/ - Development tools and templates - customers/ - Client implementations template 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
48 lines
1.4 KiB
YAML
48 lines
1.4 KiB
YAML
# =============================================================================
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# PROJECT-ENV-CONFIG.yml
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# Configuración de Ambiente específica del proyecto BETTING-ANALYTICS
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# =============================================================================
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# Proyecto: BETTING-ANALYTICS - Análisis de Apuestas Deportivas
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# Actualizado: 2025-12-05
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# Referencia: ~/workspace/core/devtools/environment/DEV-ENVIRONMENT-REGISTRY.yml
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# =============================================================================
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project:
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name: "BETTING_ANALYTICS"
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slug: "betting-analytics"
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description: "Plataforma de Análisis de Apuestas Deportivas"
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status: "development"
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port_block: 3090
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ports:
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frontend: 3095
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backend: 3096
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ml_service: 8003
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database:
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host: "localhost"
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port: 5432 # UNA sola instancia PostgreSQL
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name: "betting_analytics"
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user: "betting_user"
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# password: Ver archivo .env local
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urls:
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frontend: "http://localhost:3095"
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backend_api: "http://localhost:3096/api"
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swagger: "http://localhost:3096/api/docs"
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env_files:
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backend: "apps/backend/.env"
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frontend: "apps/frontend/.env"
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stack:
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backend: "NestJS + TypeScript"
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frontend: "React + TypeScript + Vite"
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database: "PostgreSQL 15"
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ml_service: "FastAPI + Python"
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notes: |
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- Proyecto en desarrollo inicial
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- Servicio ML para análisis predictivo de apuestas
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- Base de datos: betting_analytics (en instancia PostgreSQL compartida)
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