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45e77e9a9c
DDL schemas for Trading Platform: - User management - Authentication - Payments - Education - ML predictions - Trading data Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
66 lines
2.3 KiB
SQL
66 lines
2.3 KiB
SQL
-- =====================================================
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-- ML SCHEMA - MODELS TABLE
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-- =====================================================
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-- Description: ML models registry
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-- Schema: ml
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-- Author: Database Agent
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-- Date: 2025-12-06
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-- =====================================================
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CREATE TABLE ml.models (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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-- Identificación
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name VARCHAR(100) NOT NULL UNIQUE,
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display_name VARCHAR(200) NOT NULL,
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description TEXT,
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-- Tipo y framework
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model_type ml.model_type NOT NULL,
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framework ml.framework NOT NULL,
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-- Categoría
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category VARCHAR(50) NOT NULL, -- sentiment, technical, fundamental, hybrid
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-- Alcance
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applies_to_symbols VARCHAR(20)[] DEFAULT '{}', -- ['BTCUSDT', 'ETHUSDT'] o [] para todos
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applies_to_timeframes VARCHAR(10)[] DEFAULT '{}', -- ['1h', '4h', '1d'] o [] para todos
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-- Estado
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status ml.model_status DEFAULT 'development',
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-- Versión actual en producción
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current_version_id UUID,
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-- Metadata
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owner VARCHAR(100) NOT NULL,
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repository_url VARCHAR(500),
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documentation_url VARCHAR(500),
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-- Métricas agregadas (de todas las versiones)
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total_predictions INTEGER DEFAULT 0,
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total_correct_predictions INTEGER DEFAULT 0,
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overall_accuracy DECIMAL(5,4),
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-- Fechas
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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deployed_at TIMESTAMPTZ,
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deprecated_at TIMESTAMPTZ
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);
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-- Índices
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CREATE INDEX idx_models_name ON ml.models(name);
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CREATE INDEX idx_models_status ON ml.models(status);
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CREATE INDEX idx_models_type ON ml.models(model_type);
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CREATE INDEX idx_models_category ON ml.models(category);
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CREATE INDEX idx_models_production ON ml.models(status) WHERE status = 'production';
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-- Comentarios
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COMMENT ON TABLE ml.models IS 'Registry of ML models for trading signals';
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COMMENT ON COLUMN ml.models.name IS 'Unique technical name (e.g., sentiment_analyzer_v1)';
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COMMENT ON COLUMN ml.models.applies_to_symbols IS 'Symbols this model can analyze. Empty array = all symbols';
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COMMENT ON COLUMN ml.models.applies_to_timeframes IS 'Timeframes this model supports. Empty array = all timeframes';
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COMMENT ON COLUMN ml.models.current_version_id IS 'Reference to current production version';
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COMMENT ON COLUMN ml.models.overall_accuracy IS 'Aggregated accuracy across all versions and predictions';
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