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https://github.com/pacnpal/thrilltrack-explorer.git
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Introduce statistical anomaly detection for metrics via edge function, hooks, and UI components. Adds detection algorithms (z-score, moving average, rate of change), anomaly storage, auto-alerts, and dashboard rendering of detected anomalies with run-once trigger and scheduling guidance.
143 lines
5.4 KiB
SQL
143 lines
5.4 KiB
SQL
-- ML-based Anomaly Detection System
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-- Table: Time-series metrics for anomaly detection
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CREATE TABLE metric_time_series (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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metric_name TEXT NOT NULL,
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metric_category TEXT NOT NULL CHECK (metric_category IN ('system', 'database', 'rate_limit', 'moderation', 'api')),
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metric_value NUMERIC NOT NULL,
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timestamp TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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metadata JSONB,
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
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);
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-- Table: Detected anomalies
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CREATE TABLE anomaly_detections (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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metric_name TEXT NOT NULL,
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metric_category TEXT NOT NULL,
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anomaly_type TEXT NOT NULL CHECK (anomaly_type IN ('spike', 'drop', 'trend_change', 'outlier', 'pattern_break')),
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severity TEXT NOT NULL CHECK (severity IN ('critical', 'high', 'medium', 'low')),
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baseline_value NUMERIC NOT NULL,
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anomaly_value NUMERIC NOT NULL,
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deviation_score NUMERIC NOT NULL,
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confidence_score NUMERIC NOT NULL CHECK (confidence_score >= 0 AND confidence_score <= 1),
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detection_algorithm TEXT NOT NULL,
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time_window_start TIMESTAMPTZ NOT NULL,
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time_window_end TIMESTAMPTZ NOT NULL,
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detected_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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alert_created BOOLEAN NOT NULL DEFAULT false,
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alert_id UUID,
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metadata JSONB,
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
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);
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-- Table: Anomaly detection configuration
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CREATE TABLE anomaly_detection_config (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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metric_name TEXT NOT NULL UNIQUE,
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metric_category TEXT NOT NULL,
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enabled BOOLEAN NOT NULL DEFAULT true,
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sensitivity NUMERIC NOT NULL DEFAULT 3.0 CHECK (sensitivity > 0),
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lookback_window_minutes INTEGER NOT NULL DEFAULT 60,
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detection_algorithms TEXT[] NOT NULL DEFAULT ARRAY['z_score', 'moving_average', 'rate_of_change'],
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min_data_points INTEGER NOT NULL DEFAULT 10,
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alert_threshold_score NUMERIC NOT NULL DEFAULT 2.5,
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auto_create_alert BOOLEAN NOT NULL DEFAULT true,
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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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);
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-- View: Recent anomalies with alert status
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CREATE OR REPLACE VIEW recent_anomalies_view
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WITH (security_invoker=on)
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AS
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SELECT
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ad.id,
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ad.metric_name,
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ad.metric_category,
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ad.anomaly_type,
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ad.severity,
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ad.baseline_value,
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ad.anomaly_value,
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ad.deviation_score,
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ad.confidence_score,
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ad.detection_algorithm,
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ad.time_window_start,
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ad.time_window_end,
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ad.detected_at,
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ad.alert_created,
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ad.alert_id,
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sa.message as alert_message,
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sa.resolved_at as alert_resolved_at
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FROM anomaly_detections ad
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LEFT JOIN system_alerts sa ON sa.id = ad.alert_id::uuid
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WHERE ad.detected_at > NOW() - INTERVAL '24 hours'
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ORDER BY ad.detected_at DESC;
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-- Insert default anomaly detection configurations
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INSERT INTO anomaly_detection_config (metric_name, metric_category, sensitivity, lookback_window_minutes, detection_algorithms, alert_threshold_score) VALUES
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('error_rate', 'system', 2.5, 60, ARRAY['z_score', 'moving_average'], 2.0),
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('response_time', 'api', 3.0, 30, ARRAY['z_score', 'rate_of_change'], 2.5),
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('database_connections', 'database', 2.0, 120, ARRAY['z_score', 'moving_average'], 3.0),
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('rate_limit_violations', 'rate_limit', 2.5, 60, ARRAY['z_score', 'spike_detection'], 2.0),
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('moderation_queue_size', 'moderation', 3.0, 120, ARRAY['z_score', 'trend_change'], 2.5),
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('cpu_usage', 'system', 2.5, 30, ARRAY['z_score', 'moving_average'], 2.0),
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('memory_usage', 'system', 2.5, 30, ARRAY['z_score', 'moving_average'], 2.0),
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('request_rate', 'api', 3.0, 60, ARRAY['z_score', 'rate_of_change'], 2.5);
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-- Create indexes
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CREATE INDEX idx_metric_time_series_name_timestamp ON metric_time_series(metric_name, timestamp DESC);
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CREATE INDEX idx_metric_time_series_category_timestamp ON metric_time_series(metric_category, timestamp DESC);
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CREATE INDEX idx_anomaly_detections_detected_at ON anomaly_detections(detected_at DESC);
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CREATE INDEX idx_anomaly_detections_alert_created ON anomaly_detections(alert_created) WHERE alert_created = false;
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CREATE INDEX idx_anomaly_detections_metric ON anomaly_detections(metric_name, detected_at DESC);
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-- Grant permissions
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GRANT SELECT, INSERT ON metric_time_series TO authenticated;
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GRANT SELECT ON anomaly_detections TO authenticated;
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GRANT SELECT ON anomaly_detection_config TO authenticated;
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GRANT SELECT ON recent_anomalies_view TO authenticated;
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-- RLS Policies
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ALTER TABLE metric_time_series ENABLE ROW LEVEL SECURITY;
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ALTER TABLE anomaly_detections ENABLE ROW LEVEL SECURITY;
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ALTER TABLE anomaly_detection_config ENABLE ROW LEVEL SECURITY;
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-- System can insert metrics
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CREATE POLICY system_insert_metrics ON metric_time_series
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FOR INSERT WITH CHECK (true);
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-- Moderators can view all metrics
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CREATE POLICY moderators_view_metrics ON metric_time_series
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FOR SELECT USING (
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EXISTS (
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SELECT 1 FROM user_roles
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WHERE user_id = auth.uid()
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AND role IN ('moderator', 'admin', 'superuser')
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)
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);
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-- Moderators can view anomalies
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CREATE POLICY moderators_view_anomalies ON anomaly_detections
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FOR SELECT USING (
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EXISTS (
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SELECT 1 FROM user_roles
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WHERE user_id = auth.uid()
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AND role IN ('moderator', 'admin', 'superuser')
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)
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);
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-- System can insert anomalies
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CREATE POLICY system_insert_anomalies ON anomaly_detections
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FOR INSERT WITH CHECK (true);
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-- Admins can manage anomaly config
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CREATE POLICY admins_manage_config ON anomaly_detection_config
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FOR ALL USING (
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EXISTS (
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SELECT 1 FROM user_roles
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WHERE user_id = auth.uid()
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AND role IN ('admin', 'superuser')
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)
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); |