Skip to content

Latest commit

 

History

History
140 lines (99 loc) · 2.69 KB

architecture.md

File metadata and controls

140 lines (99 loc) · 2.69 KB

Error Management System Architecture

Overview

The Error Management System is built as a Streamlit application with integrated error detection and management capabilities.

Core Components

1. Dashboard (Streamlit Frontend)

  • Real-time error monitoring interface
  • Interactive error analysis tools
  • System health metrics visualization
  • User control panel

2. Error Management Core

  • Error detection engine
  • Pattern recognition system
  • Automated fix generation
  • Context analysis

3. System Monitor

  • Resource usage tracking
  • Performance metrics
  • Health checks
  • Auto-recovery system

Directory Structure

error-management-system/
├── src/
│   ├── core/           # Core error management logic
│   ├── analysis/       # Error analysis components
│   ├── dashboard/      # Streamlit interface
│   │   ├── pages/     # Streamlit pages
│   │   └── components/# Reusable components
│   └── utils/         # Shared utilities
├── tests/
│   ├── unit/         # Unit tests
│   └── integration/  # Integration tests
├── docs/
│   ├── api/          # API documentation
│   ├── user/         # User guides
│   └── implementation/ # Implementation details
└── scripts/          # Automation scripts

Design Patterns

1. Factory Pattern

  • Dynamic error handler creation
  • Component initialization
  • Service providers

2. Observer Pattern

  • Real-time monitoring
  • Event handling
  • State management

3. Strategy Pattern

  • Error resolution strategies
  • Analysis algorithms
  • Fix generation methods

Data Flow

  1. Error Detection

    • Continuous monitoring
    • Pattern matching
    • Context gathering

  2. Analysis

    • Error classification
    • Impact assessment
    • Solution identification

  3. Resolution

    • Automated fixes
    • Manual intervention options
    • Verification checks

Security Measures

  • CORS protection
  • XSRF protection
  • Input validation
  • Secure logging
  • Access control

Performance Optimization

  • Lazy loading
  • Caching strategies
  • Resource management
  • Memory optimization

Integration Points

  1. Version Control

    • Git integration
    • Commit management
    • Branch synchronization

  2. Testing Framework

    • Pytest integration
    • Coverage reporting
    • Automated testing

  3. Deployment Pipeline

    • CI/CD integration
    • Environment management
    • Release automation

Monitoring & Logging

  • Centralized logging
  • Performance metrics
  • Error tracking
  • System health monitoring

Future Extensibility

  • Plugin architecture
  • API endpoints
  • Custom handlers
  • Integration hooks

_Last Updated: Thu Dec 12 16:29:04 AEDT 2024