Project Overview

Introduction

This is an automated deployment system specifically designed for managing and deploying large-scale distributed systems. The system supports multiple operating system environments (Ubuntu, CentOS, Rocky Linux) and provides flexible service topology management and configuration capabilities.

Core Features

  1. Multi-Environment Support

    • Ubuntu environment configuration and deployment
    • CentOS/Rocky Linux environment configuration and deployment
    • Special handling for Docker environments

  2. Service Topology Management

    • Automatic cluster deployment topology generation
    • Support for 3-node and multi-node cluster configurations
    • Intelligent service distribution algorithm

  3. Configuration Management

    • Service mapping configuration
    • Component dependency management
    • Environment-specific configurations

  4. Command Execution System

    • Unified command execution interface
    • Log management and error handling
    • Environment variable management

Technical Architecture

System Components

  1. Configuration Management Module (config_management/)

    • topology_manager.py: Manages cluster topology
    • service_map.py: Service component mapping

  2. Executor Module (executor/)

    • command_executor.py: Command execution management

  3. Environment Setup Scripts (shell/utils/)

    • setup-env-ubuntu.sh: Ubuntu environment configuration
    • setup-env-centos.sh: CentOS environment configuration
    • setup_repo.sh: Repository configuration

System Flow

graph TD
    A[Start Deployment] --> B[Environment Detection]
    B --> C[Environment Setup]
    C --> D[Repository Configuration]
    D --> E[Service Topology Generation]
    E --> F[Component Deployment]
    F --> G[Service Startup]
    G --> H[Deployment Complete]

Deployment Process

  1. Environment Preparation

    • System requirements check
    • Dependency package installation
    • SSH configuration

  2. Repository Configuration

    • YUM/APT repository setup
    • Package index generation
    • HTTP service configuration

  3. Service Deployment

    • Topology generation
    • Component distribution
    • Service configuration
    • Startup verification

Development Guide

Code Structure

deploy/
├── docs/                 # Project documentation
├── deploy_py/           # Python main program
│   ├── python/         # Python modules
│   │   ├── config_management/  # Configuration management
│   │   ├── executor/   # Executor
│   │   └── common/     # Common components
│   └── shell/         # Shell scripts
│       └── utils/     # Utility scripts

Development Standards

  1. Code Style

    • Follow PEP 8 guidelines
    • Use type hints
    • Detailed docstrings

  2. Error Handling

    • Unified exception handling mechanism
    • Detailed error logging
    • Graceful failure handling

  3. Testing Requirements

    • Unit test coverage
    • Integration testing
    • Environment compatibility testing

Maintenance Guide

  1. Routine Maintenance

    • Log monitoring
    • Performance optimization
    • Configuration updates

  2. Troubleshooting

    • Error diagnosis process
    • Recovery strategies
    • Emergency response plans

  3. Upgrade Process

    • Version control
    • Upgrade steps
    • Rollback mechanisms

Contributing Guide

  1. Submission Guidelines

    • Branch management strategy
    • Commit message format
    • Code review process

  2. Documentation Maintenance

    • Documentation update requirements
    • Version history
    • Change notes