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thrilltrack-explorer/supabase/migrations/20251111020556_e7431e73-dd91-428d-b4af-1362acdc311a.sql
gpt-engineer-app[bot] be94b4252c Implement ML Anomaly Detection
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.
2025-11-11 02:07:49 +00:00

143 lines
5.4 KiB
SQL

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