herolib_rust/rhailib/src/monitor/docs/ARCHITECTURE.md

Architecture of the monitor Crate

The monitor crate provides a command-line interface for monitoring and managing Rhai task execution across the rhailib ecosystem. It offers real-time visibility into task queues, execution status, and system performance.

Core Architecture

graph TD
    A[Monitor CLI] --> B[Task Monitoring]
    A --> C[Queue Management]
    A --> D[Performance Metrics]
    
    B --> B1[Redis Task Tracking]
    B --> B2[Status Visualization]
    B --> B3[Real-time Updates]
    
    C --> C1[Queue Inspection]
    C --> C2[Task Management]
    C --> C3[Worker Status]
    
    D --> D1[Performance Plotting]
    D --> D2[Metrics Collection]
    D --> D3[Historical Analysis]

Key Components

1. CLI Logic (cli_logic.rs)

• Command Processing: Handles user commands and interface
• Real-time Monitoring: Continuous task status updates
• Interactive Interface: User-friendly command-line experience

2. Task Management (tasks.rs)

• Task Discovery: Finds and tracks tasks across Redis queues
• Status Reporting: Provides detailed task execution information
• Queue Analysis: Monitors queue depths and processing rates

3. Performance Plotting (plot.rs)

• Metrics Visualization: Creates performance charts and graphs
• Trend Analysis: Historical performance tracking
• System Health: Overall system performance indicators

Features

• Real-time Task Monitoring: Live updates of task execution status
• Queue Management: Inspection and management of Redis task queues
• Performance Metrics: System performance visualization and analysis
• Interactive CLI: User-friendly command-line interface
• Multi-worker Support: Monitoring across multiple worker instances

Dependencies

• Redis Integration: Direct Redis connectivity for queue monitoring
• CLI Framework: Clap for command-line argument parsing
• Async Runtime: Tokio for asynchronous operations
• Visualization: Pretty tables and terminal clearing for UI
• Logging: Tracing for structured logging and debugging

Usage Patterns

The monitor serves as a central observability tool for rhailib deployments, providing operators with comprehensive visibility into system behavior and performance characteristics.