Blame for docs/configs/ANALYTICS_SPEC.md

# Advanced Analytics Agent Specification

## Overview
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.

## Configuration
Analytics configuration is defined in [`docs/configs/analytics_config.json`](./analytics_config.json)

## Features

### Custom Metrics
- **User Engagement Score**: Composite metric tracking active user ratios and session duration
  - Formula: `(active_users * avg_session_duration) / total_users`
  - Warning threshold: 0.3
  - Critical threshold: 0.15
- **API Response Time (P95)**: Performance metric for API latency monitoring
  - Unit: milliseconds
  - Warning threshold: 500ms
  - Critical threshold: 1000ms
- **Error Rate**: Reliability metric tracking system errors
  - Unit: percentage
  - Warning threshold: 2%
  - Critical threshold: 5%
- **Resource Utilization**: System metrics for CPU, memory, disk, and network usage
  - Components: cpu, memory, disk, network
  - Warning threshold: 75%
  - Critical threshold: 90%

### Notifications
Multi-channel notification system with severity-based routing:
- **Email**: Alerts sent to admin and ops team for warning/critical events
- **Slack**: Critical alerts posted to #analytics-alerts channel
- **Webhooks**: All severity levels sent to configured webhook endpoint
- **Rate Limiting**: Maximum 10 notifications per hour with 15-minute cooldown

### Role-Based Views
Four distinct role configurations with tailored permissions and dashboards:

#### Administrator
- **Permissions**: view_all, configure, export, delete
- **Default Dashboard**: system_overview
- **Visible Metrics**: All metrics (*)

#### Data Analyst
- **Permissions**: view_all, export
- **Default Dashboard**: analytics_deep_dive
- **Visible Metrics**: user_engagement_score, custom_metrics, historical_trends

#### Developer
- **Permissions**: view_technical, export
- **Default Dashboard**: api_performance
- **Visible Metrics**: api_response_time_p95, error_rate, system_health

#### Read-Only Viewer
- **Permissions**: view_summary
- **Default Dashboard**: executive_summary
- **Visible Metrics**: user_engagement_score

### Batch Processing
Scheduled operations for data aggregation and reporting:
- **Daily Aggregation**: Runs at 2:00 AM, outputs parquet format, 365-day retention
- **Weekly Report**: Runs Monday 3:00 AM, generates PDF for leadership
- **Data Cleanup**: Runs Sunday 1:00 AM, purges data older than 90 days

### Historical Analysis
Advanced analytics capabilities:

#### Trend Detection
- Moving average
- Exponential smoothing
- Seasonal decomposition

#### Anomaly Detection
- Isolation forest algorithm
- Statistical outliers
- Prophet forecasting

#### Forecasting
- 30-day horizon
- 95% confidence intervals

#### Comparative Analysis
- Day-over-day
- Week-over-week
- Month-over-month
- Year-over-year

### System Health Monitoring
Real-time monitoring with 30-second intervals:

#### Database Monitoring
- Connection pool status
- Query performance metrics
- Replication lag tracking

#### Cache Monitoring
- Hit rate analysis
- Memory usage tracking
- Eviction rate monitoring

#### Queue Monitoring
- Queue depth tracking
- Processing rate analysis
- Dead-letter queue monitoring

#### External Services
- API availability checks
- Response time monitoring
- Rate limit tracking

#### Auto-Recovery
- Service restart capability
- Cache clearing
- Resource scaling

### API Endpoints
Base path: `/api/v1/analytics`
Authentication: Bearer token
Rate limiting: 100 requests per minute

#### GET /metrics
**Description**: Retrieve current metrics
**Parameters**:
- `metric_id`: Specific metric identifier
- `start_time`: Query start time
- `end_time`: Query end time
- `granularity`: Data granularity (minute, hour, day)

#### POST/PUT/DELETE /metrics/custom
**Description**: Manage custom metrics
**Permissions**: Admin only

#### GET /dashboards
**Description**: Get dashboard configurations for user role

#### GET/POST /alerts
**Description**: Manage alert configurations

#### POST /export
**Description**: Export analytics data
**Parameters**:
- `format`: json, csv, parquet, excel
- `metrics`: Array of metric IDs
- `date_range`: Date range for export

#### GET /health
**Description**: Get system health status
**Public**: Yes (no authentication required)

#### GET /historical
**Description**: Access historical analysis and trends
**Parameters**:
- `analysis_type`: trends, anomalies, forecast, comparison
- `metric_id`: Target metric
- `time_range`: Analysis time range

### Failover Logging
Multi-tier logging system with automatic failover:

#### Primary Logger: Elasticsearch
- Endpoint: `${ELASTICSEARCH_URL}`
- Index pattern: `analytics-logs-%{+YYYY.MM.dd}`

#### Failover Tier 1: CloudWatch
- Log group: `strategystack-analytics`
- Retention: 30 days

#### Failover Tier 2: File System
- Path: `/var/log/analytics`
- Rotation: Daily
- Max size: 100MB per file
- Retention: 7 days

#### Failover Tier 3: Syslog
- Endpoint: `${SYSLOG_ENDPOINT}`
- Protocol: TCP

**Health Checks**: 60-second intervals
**Auto-Failover**: Enabled
**Log Levels**: DEBUG, INFO, WARNING, ERROR, CRITICAL
**Structured Logging**: Enabled with correlation IDs and session tracking

## Integration Points

### UI Components (React)

#### MetricsDashboard
- **Path**: `src/components/analytics/MetricsDashboard.tsx`
- **Props**: roleId, dateRange, refreshInterval
- **Description**: Main dashboard showing role-based metrics

#### CustomMetricBuilder
- **Path**: `src/components/analytics/CustomMetricBuilder.tsx`
- **Permissions**: admin, analyst
- **Description**: UI for creating and editing custom metrics

#### AlertsPanel
- **Path**: `src/components/analytics/AlertsPanel.tsx`
- **Realtime**: Yes (WebSocket)
- **Description**: Real-time alert display

#### HistoricalAnalyzer
- **Path**: `src/components/analytics/HistoricalAnalyzer.tsx`
- **Features**: trends, forecasting, anomalies
- **Description**: Trend, forecasting, and anomaly visualization

#### SystemHealthMonitor
- **Path**: `src/components/analytics/SystemHealthMonitor.tsx`
- **Update Interval**: 10 seconds
- **Description**: Component status dashboard

### Backend Integration

#### Strategy Engine
- Metrics export enabled
- Event hooks: strategy_execution, performance_update

#### User Service
- Metrics export enabled
- Event hooks: user_action, session_start, session_end

#### Notification Service
- Alert integration enabled
- Priority routing enabled

### WebSocket Support
- Real-time metric updates via `${WEBSOCKET_URL}/analytics`
- Redux state management for UI consistency

## Performance Optimization

### Caching
- **Strategy**: Redis
- **TTL**: 5 minutes (300 seconds)
- **Cache Warmer**: Enabled

### Query Optimization
- Materialized views for frequently accessed aggregations
- Parallel query execution
- Query timeout: 30 seconds

### Data Sampling
- High-cardinality threshold: 10,000 records
- Sampling rate: 10%

## Usage

1. **Configure analytics sources**: Edit `docs/configs/analytics_config.json` to customize metrics, alerts, roles, and integration points.
2. **Enable real-time monitoring**: Deploy UI components and connect to analytics API.
3. **Set up notifications**: Configure email, Slack, and webhook endpoints for alert delivery.
4. **Configure historical analysis**: Enable trend detection, anomaly detection, and forecasting as needed.
5. **Monitor system health**: Use system health endpoint for infrastructure monitoring.

## Implementation Status

- [x] Configuration schema defined
- [x] Custom metrics configuration
- [x] Multi-channel notifications
- [x] Role-based access control
- [x] Batch processing schedules
- [x] Historical analysis features
- [x] System health monitoring
- [x] API endpoint definitions
- [x] Failover logging configuration
- [x] UI component specifications
- [x] Backend integration points
- [x] Performance optimization strategies

## Next Steps

1. Implement analytics agent Python module
2. Create UI components according to specifications
3. Set up database tables and materialized views
4. Configure notification channels
5. Deploy monitoring infrastructure
6. Set up failover logging systems
7. Create integration tests
8. Document API with OpenAPI/Swagger specs
9. Create user documentation and tutorials
10. Set up monitoring dashboards and alerts

---
*Configuration file: [analytics_config.json](./analytics_config.json)*
*Last updated: 2025-11-05*