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+ # Advanced Analytics Agent Specification
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+
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+ ## Overview
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+ The Advanced Analytics Agent provides comprehensive monitoring, custom metrics, role-based reporting, and system health tracking. This module integrates with UI interfaces and backend services for real-time analytics and historical trend analysis.
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+
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+ ## Configuration
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+ Analytics configuration is defined in [`docs/configs/analytics_config.json`](./analytics_config.json)
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+
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+ ## Features
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+
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+ ### Custom Metrics
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+ - **User Engagement Score**: Composite metric tracking active user ratios and session duration
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+ - Formula: `(active_users * avg_session_duration) / total_users`
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+ - Warning threshold: 0.3
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+ - Critical threshold: 0.15
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+ - **API Response Time (P95)**: Performance metric for API latency monitoring
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+ - Unit: milliseconds
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+ - Warning threshold: 500ms
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+ - Critical threshold: 1000ms
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+ - **Error Rate**: Reliability metric tracking system errors
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+ - Unit: percentage
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+ - Warning threshold: 2%
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+ - Critical threshold: 5%
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+ - **Resource Utilization**: System metrics for CPU, memory, disk, and network usage
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+ - Components: cpu, memory, disk, network
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+ - Warning threshold: 75%
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+ - Critical threshold: 90%
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+
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+ ### Notifications
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+ Multi-channel notification system with severity-based routing:
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+ - **Email**: Alerts sent to admin and ops team for warning/critical events
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+ - **Slack**: Critical alerts posted to #analytics-alerts channel
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+ - **Webhooks**: All severity levels sent to configured webhook endpoint
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+ - **Rate Limiting**: Maximum 10 notifications per hour with 15-minute cooldown
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+
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+ ### Role-Based Views
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+ Four distinct role configurations with tailored permissions and dashboards:
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+
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+ #### Administrator
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+ - **Permissions**: view_all, configure, export, delete
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+ - **Default Dashboard**: system_overview
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+ - **Visible Metrics**: All metrics (*)
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+
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+ #### Data Analyst
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+ - **Permissions**: view_all, export
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+ - **Default Dashboard**: analytics_deep_dive
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+ - **Visible Metrics**: user_engagement_score, custom_metrics, historical_trends
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+
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+ #### Developer
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+ - **Permissions**: view_technical, export
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+ - **Default Dashboard**: api_performance
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+ - **Visible Metrics**: api_response_time_p95, error_rate, system_health
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+
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+ #### Read-Only Viewer
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+ - **Permissions**: view_summary
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+ - **Default Dashboard**: executive_summary
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+ - **Visible Metrics**: user_engagement_score
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+
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+ ### Batch Processing
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+ Scheduled operations for data aggregation and reporting:
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+ - **Daily Aggregation**: Runs at 2:00 AM, outputs parquet format, 365-day retention
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+ - **Weekly Report**: Runs Monday 3:00 AM, generates PDF for leadership
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+ - **Data Cleanup**: Runs Sunday 1:00 AM, purges data older than 90 days
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+
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+ ### Historical Analysis
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+ Advanced analytics capabilities:
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+
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+ #### Trend Detection
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+ - Moving average
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+ - Exponential smoothing
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+ - Seasonal decomposition
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+
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+ #### Anomaly Detection
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+ - Isolation forest algorithm
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+ - Statistical outliers
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+ - Prophet forecasting
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+
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+ #### Forecasting
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+ - 30-day horizon
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+ - 95% confidence intervals
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+
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+ #### Comparative Analysis
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+ - Day-over-day
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+ - Week-over-week
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+ - Month-over-month
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+ - Year-over-year
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+
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+ ### System Health Monitoring
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+ Real-time monitoring with 30-second intervals:
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+
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+ #### Database Monitoring
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+ - Connection pool status
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+ - Query performance metrics
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+ - Replication lag tracking
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+
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+ #### Cache Monitoring
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+ - Hit rate analysis
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+ - Memory usage tracking
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+ - Eviction rate monitoring
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+
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+ #### Queue Monitoring
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+ - Queue depth tracking
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+ - Processing rate analysis
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+ - Dead-letter queue monitoring
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+
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+ #### External Services
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+ - API availability checks
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+ - Response time monitoring
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+ - Rate limit tracking
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+
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+ #### Auto-Recovery
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+ - Service restart capability
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+ - Cache clearing
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+ - Resource scaling
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+
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+ ### API Endpoints
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+ Base path: `/api/v1/analytics`
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+ Authentication: Bearer token
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+ Rate limiting: 100 requests per minute
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+
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+ #### GET /metrics
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+ **Description**: Retrieve current metrics
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+ **Parameters**:
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+ - `metric_id`: Specific metric identifier
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+ - `start_time`: Query start time
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+ - `end_time`: Query end time
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+ - `granularity`: Data granularity (minute, hour, day)
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+
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+ #### POST/PUT/DELETE /metrics/custom
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+ **Description**: Manage custom metrics
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+ **Permissions**: Admin only
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+
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+ #### GET /dashboards
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+ **Description**: Get dashboard configurations for user role
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+
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+ #### GET/POST /alerts
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+ **Description**: Manage alert configurations
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+
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+ #### POST /export
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+ **Description**: Export analytics data
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+ **Parameters**:
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+ - `format`: json, csv, parquet, excel
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+ - `metrics`: Array of metric IDs
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+ - `date_range`: Date range for export
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+
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+ #### GET /health
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+ **Description**: Get system health status
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+ **Public**: Yes (no authentication required)
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+
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+ #### GET /historical
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+ **Description**: Access historical analysis and trends
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+ **Parameters**:
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+ - `analysis_type`: trends, anomalies, forecast, comparison
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+ - `metric_id`: Target metric
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+ - `time_range`: Analysis time range
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+
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+ ### Failover Logging
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+ Multi-tier logging system with automatic failover:
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+
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+ #### Primary Logger: Elasticsearch
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+ - Endpoint: `${ELASTICSEARCH_URL}`
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+ - Index pattern: `analytics-logs-%{+YYYY.MM.dd}`
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+
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+ #### Failover Tier 1: CloudWatch
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+ - Log group: `strategystack-analytics`
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+ - Retention: 30 days
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+
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+ #### Failover Tier 2: File System
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+ - Path: `/var/log/analytics`
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+ - Rotation: Daily
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+ - Max size: 100MB per file
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+ - Retention: 7 days
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+
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+ #### Failover Tier 3: Syslog
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+ - Endpoint: `${SYSLOG_ENDPOINT}`
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+ - Protocol: TCP
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+
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+ **Health Checks**: 60-second intervals
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+ **Auto-Failover**: Enabled
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+ **Log Levels**: DEBUG, INFO, WARNING, ERROR, CRITICAL
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+ **Structured Logging**: Enabled with correlation IDs and session tracking
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+
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+ ## Integration Points
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+
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+ ### UI Components (React)
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+
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+ #### MetricsDashboard
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+ - **Path**: `src/components/analytics/MetricsDashboard.tsx`
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+ - **Props**: roleId, dateRange, refreshInterval
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+ - **Description**: Main dashboard showing role-based metrics
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+
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+ #### CustomMetricBuilder
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+ - **Path**: `src/components/analytics/CustomMetricBuilder.tsx`
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+ - **Permissions**: admin, analyst
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+ - **Description**: UI for creating and editing custom metrics
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+
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+ #### AlertsPanel
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+ - **Path**: `src/components/analytics/AlertsPanel.tsx`
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+ - **Realtime**: Yes (WebSocket)
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+ - **Description**: Real-time alert display
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+
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+ #### HistoricalAnalyzer
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+ - **Path**: `src/components/analytics/HistoricalAnalyzer.tsx`
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+ - **Features**: trends, forecasting, anomalies
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+ - **Description**: Trend, forecasting, and anomaly visualization
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+
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+ #### SystemHealthMonitor
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+ - **Path**: `src/components/analytics/SystemHealthMonitor.tsx`
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+ - **Update Interval**: 10 seconds
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+ - **Description**: Component status dashboard
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+
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+ ### Backend Integration
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+
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+ #### Strategy Engine
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+ - Metrics export enabled
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+ - Event hooks: strategy_execution, performance_update
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+
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+ #### User Service
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+ - Metrics export enabled
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+ - Event hooks: user_action, session_start, session_end
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+
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+ #### Notification Service
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+ - Alert integration enabled
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+ - Priority routing enabled
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+
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+ ### WebSocket Support
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+ - Real-time metric updates via `${WEBSOCKET_URL}/analytics`
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+ - Redux state management for UI consistency
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+
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+ ## Performance Optimization
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+
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+ ### Caching
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+ - **Strategy**: Redis
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+ - **TTL**: 5 minutes (300 seconds)
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+ - **Cache Warmer**: Enabled
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+
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+ ### Query Optimization
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+ - Materialized views for frequently accessed aggregations
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+ - Parallel query execution
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+ - Query timeout: 30 seconds
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+
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+ ### Data Sampling
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+ - High-cardinality threshold: 10,000 records
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+ - Sampling rate: 10%
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+
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+ ## Usage
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+
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+ 1. **Configure analytics sources**: Edit `docs/configs/analytics_config.json` to customize metrics, alerts, roles, and integration points.
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+ 2. **Enable real-time monitoring**: Deploy UI components and connect to analytics API.
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+ 3. **Set up notifications**: Configure email, Slack, and webhook endpoints for alert delivery.
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+ 4. **Configure historical analysis**: Enable trend detection, anomaly detection, and forecasting as needed.
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+ 5. **Monitor system health**: Use system health endpoint for infrastructure monitoring.
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+
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+ ## Implementation Status
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+
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+ - [x] Configuration schema defined
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+ - [x] Custom metrics configuration
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+ - [x] Multi-channel notifications
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+ - [x] Role-based access control
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+ - [x] Batch processing schedules
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+ - [x] Historical analysis features
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+ - [x] System health monitoring
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+ - [x] API endpoint definitions
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+ - [x] Failover logging configuration
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+ - [x] UI component specifications
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+ - [x] Backend integration points
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+ - [x] Performance optimization strategies
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+
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+ ## Next Steps
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+
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+ 1. Implement analytics agent Python module
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+ 2. Create UI components according to specifications
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+ 3. Set up database tables and materialized views
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+ 4. Configure notification channels
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+ 5. Deploy monitoring infrastructure
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+ 6. Set up failover logging systems
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+ 7. Create integration tests
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+ 8. Document API with OpenAPI/Swagger specs
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+ 9. Create user documentation and tutorials
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+ 10. Set up monitoring dashboards and alerts
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+
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+ ---
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+ *Configuration file: [analytics_config.json](./analytics_config.json)*
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+ *Last updated: 2025-11-05*