thrilltrack-explorer/src/hooks/admin/useAnomalyDetection.ts

import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query';
import { supabase } from '@/lib/supabaseClient';
import { queryKeys } from '@/lib/queryKeys';
import { toast } from 'sonner';

export interface AnomalyDetection {
  id: string;
  metric_name: string;
  metric_category: string;
  anomaly_type: 'spike' | 'drop' | 'trend_change' | 'outlier' | 'pattern_break';
  severity: 'critical' | 'high' | 'medium' | 'low';
  baseline_value: number;
  anomaly_value: number;
  deviation_score: number;
  confidence_score: number;
  detection_algorithm: string;
  time_window_start: string;
  time_window_end: string;
  detected_at: string;
  alert_created: boolean;
  alert_id?: string;
  alert_message?: string;
  alert_resolved_at?: string;
}

export function useAnomalyDetections() {
  return useQuery({
    queryKey: queryKeys.monitoring.anomalyDetections(),
    queryFn: async () => {
      const { data, error } = await supabase
        .from('recent_anomalies_view')
        .select('*')
        .order('detected_at', { ascending: false })
        .limit(50);

      if (error) throw error;
      return (data || []) as AnomalyDetection[];
    },
    staleTime: 30000,
    refetchInterval: 60000,
  });
}

export function useRunAnomalyDetection() {
  const queryClient = useQueryClient();

  return useMutation({
    mutationFn: async () => {
      const { data, error } = await supabase.functions.invoke('detect-anomalies', {
        method: 'POST',
      });

      if (error) throw error;
      return data;
    },
    onSuccess: (data) => {
      queryClient.invalidateQueries({ queryKey: queryKeys.monitoring.anomalyDetections() });
      queryClient.invalidateQueries({ queryKey: queryKeys.monitoring.groupedAlerts() });
      
      if (data.anomalies_detected > 0) {
        toast.success(`Detected ${data.anomalies_detected} anomalies`);
      } else {
        toast.info('No anomalies detected');
      }
    },
    onError: (error) => {
      console.error('Failed to run anomaly detection:', error);
      toast.error('Failed to run anomaly detection');
    },
  });
}

export function useRecordMetric() {
  return useMutation({
    mutationFn: async ({
      metricName,
      metricCategory,
      metricValue,
      metadata,
    }: {
      metricName: string;
      metricCategory: string;
      metricValue: number;
      metadata?: any;
    }) => {
      const { error } = await supabase
        .from('metric_time_series')
        .insert({
          metric_name: metricName,
          metric_category: metricCategory,
          metric_value: metricValue,
          metadata,
        });

      if (error) throw error;
    },
    onError: (error) => {
      console.error('Failed to record metric:', error);
    },
  });
}