# 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

```mermaid
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.