classdock 0.1.1

Modern Python CLI for automating GitHub Classroom assignment management

ClassDock

A comprehensive Python CLI tool for automating GitHub Classroom assignment management with modular workflow orchestration, repository operations, and secret management.

🎯 Overview

ClassDock provides instructors with a powerful, modern CLI to automate GitHub Classroom workflows:

• 🐍 Modern Python CLI - Type-safe, intuitive commands with rich help and output
• 📦 PyPI Package - Simple installation: pip install classdock
• 🔧 Modular Architecture - Organized command structure for different workflow areas
• 🔍 Smart Repository Discovery - Automated filtering and batch operations
• 🔐 Secret Management - Secure distribution of tokens and credentials
• ⚙️ Configuration-Driven - Flexible, reusable assignment setups
• 🛡️ Enterprise Support - Custom GitHub hosts and internal Git systems
• 🎯 Instructor-Focused - Excludes instructor repos from batch operations automatically
• 🛡️ Robust Error Handling - Centralized GitHub API error management with retry logic
• 🔄 Fault Tolerance - Automatic retry mechanisms with exponential backoff
• 📊 Comprehensive Testing - 70+ tests with 100% pass rate and extensive coverage
• 📚 Production Ready - Professional documentation and type-safe implementations

📦 Installation

Quick Install (Recommended)

# Install from PyPI
pip install classdock

# Verify installation
classdock --help

Development Installation

# Clone repository
git clone https://github.com/hugo-valle/classdock.git
cd classdock

# Install with Poetry
poetry install
poetry shell

# Or install in development mode
pip install -e .

Requirements

• Python 3.10+ (3.11+ recommended)
• Git for repository operations
• GitHub CLI (optional, for enhanced authentication)

�️ Enterprise Features

Centralized Error Handling

ClassDock includes a comprehensive error handling system for reliable GitHub operations:

• 🔄 Automatic Retry Logic - Intelligent retry with exponential backoff for transient failures
• ⏱️ Rate Limit Management - Automatic handling of GitHub API rate limits
• 🛠️ Fallback Mechanisms - CLI fallback when GitHub API is unavailable
• 📊 Detailed Error Context - Comprehensive error reporting with context and suggestions
• 🏗️ Resilient Operations - Fault-tolerant batch operations with individual error isolation

# Example: Automatic retry with error context
from classdock.utils.github_exceptions import github_api_retry

@github_api_retry(max_attempts=3, base_delay=1.0)
def discover_repositories():
    # Automatic retry for GitHub API failures
    # Handles rate limits, network issues, and transient errors
    pass

Enhanced CLI Architecture

• 📋 Modular Commands - Organized subcommand structure (assignments, repos, secrets, automation)
• 🔗 Legacy Compatibility - Backward compatibility with deprecation warnings
• 🎯 Rich Output - Beautiful terminal output with progress indicators
• ⚙️ Flexible Configuration - Multiple configuration sources with precedence handling
• 🔍 Comprehensive Help - Context-aware help system with examples

Production Quality

• 🧪 Comprehensive Testing - 70+ tests covering all functionality with 100% pass rate
• 📚 Professional Documentation - Complete docstrings following Python standards
• 🏗️ Type Safety - Full type hints and mypy compatibility
• 🔒 Security First - Secure credential handling and validation
• 📦 CI/CD Integration - Automated testing and publishing pipeline

�🚀 Quick Start

1. Basic Configuration

Create an assignment configuration file:

# Create assignment.conf
cat > assignment.conf << 'EOF'
# GitHub Classroom Configuration
CLASSROOM_URL="https://classroom.github.com/classrooms/123/assignments/456"
TEMPLATE_REPO_URL="https://github.com/instructor/assignment-template"
ASSIGNMENT_FILE="homework.py"

# Authentication
GITHUB_TOKEN_FILE="github_token.txt"

# Optional: Secrets to distribute
SECRETS_LIST="API_KEY,DATABASE_URL"
EOF

2. Command Structure

ClassDock uses a modular command structure:

# Main command groups
classdock assignments    # Assignment setup and orchestration
classdock repos         # Repository operations and collaboration
classdock secrets       # Secret and token management
classdock automation    # Scheduling and batch processing

# Legacy commands (for backward compatibility)
classdock setup         # Interactive assignment setup
classdock run           # Complete workflow execution

3. Common Workflows

# Setup a new assignment (interactive)
classdock assignments setup

# Discover student repositories
classdock repos fetch --config assignment.conf

# Add secrets to all student repos
classdock secrets add --config assignment.conf

# Run orchestrated workflow
classdock assignments orchestrate --config assignment.conf

# Check what would happen (dry-run)
classdock --dry-run assignments orchestrate

🔧 Command Reference

Assignment Management

# Setup new assignment configuration
classdock assignments setup

# Orchestrate complete assignment workflow
classdock assignments orchestrate [--config FILE] [--dry-run]

# Manage assignment templates
classdock assignments manage [--config FILE]

Repository Operations

# Fetch student repositories
classdock repos fetch [--config FILE]

# Manage collaborators
classdock repos collaborator add|remove [--config FILE]

Secret Management

# Add secrets to repositories
classdock secrets add [--config FILE] [--secrets LIST]

# Remove secrets from repositories  
classdock secrets remove [--config FILE] [--secrets LIST]

# List existing secrets
classdock secrets list [--config FILE]

Automation & Scheduling

# Setup cron jobs for automation
classdock automation scheduler setup [--config FILE]

# Run batch operations
classdock automation batch [--config FILE]

Global Options

Option	Description	Example
--dry-run	Preview actions without executing	classdock --dry-run assignments orchestrate
--verbose	Enable detailed logging	classdock --verbose repos fetch
--config FILE	Use custom configuration file	classdock --config my.conf assignments setup
--help	Show help for any command	classdock assignments --help

⚙️ Configuration

Assignment Configuration File

The assignment.conf file contains all settings for your assignment:

# Required: GitHub Classroom assignment URL
CLASSROOM_URL="https://classroom.github.com/classrooms/123/assignments/456"

# Required: Template repository URL
TEMPLATE_REPO_URL="https://github.com/instructor/assignment-template"

# Required: Assignment file to validate
ASSIGNMENT_FILE="homework.py"

# Optional: GitHub Enterprise support
GITHUB_HOSTS="github.enterprise.com,git.company.internal"

# Optional: Authentication
# Prefer centralized token manager (~/.config/classdock/token_config.json) or set GITHUB_TOKEN
# Example (CI): export GITHUB_TOKEN="ghp_your_token_here"

# Optional: Secrets management
SECRETS_LIST="API_KEY,DATABASE_URL,SECRET_TOKEN"

# Optional: Repository filtering
EXCLUDE_REPOS="template,example,demo"
INSTRUCTOR_REPOS="instructor-solution"

Environment Variables

Override configuration with environment variables:

# Custom GitHub hosts
export GITHUB_HOSTS="git.company.internal,github.enterprise.com"

# GitHub token
export GITHUB_TOKEN="ghp_your_token_here"

# Custom assignment file
export ASSIGNMENT_FILE="main.cpp"

# Run with overrides
classdock assignments orchestrate

💡 Best Practices

Workflow Recommendations

• Always test with --dry-run before making changes
• Use --verbose for debugging configuration issues
• Keep configuration files in version control with your assignment
• Use environment variables for sensitive information
• Test with single student first using filtered configuration

Security Guidelines

• Store GitHub tokens securely using the centralized token manager or OS keychain; avoid placing token files in the repository root.
• Use environment variables for sensitive configuration
• Review --dry-run output before executing changes
• Limit repository access with proper filtering
• Audit secret distribution using verbose logging

Configuration Management

• Separate configs per assignment for better organization
• Use descriptive filenames like midterm-exam.conf
• Document custom GitHub hosts in your assignment README
• Validate URLs before running batch operations

🛠️ Development

Project Architecture

classdock/
├── __init__.py              # Package initialization
├── __main__.py             # CLI entry point
├── cli.py                  # Main Typer CLI interface
├── config.py               # Configuration management
├── bash_wrapper.py         # Legacy script wrapper
├── utils.py                # Utility functions
├── utils/                  # Enhanced utilities
│   └── github_exceptions.py # Centralized error handling system
├── assignments/            # Assignment management
│   ├── setup.py           # Interactive setup
│   ├── orchestrator.py    # Workflow orchestration
│   └── manage.py          # Template management
├── repos/                  # Repository operations
│   ├── fetch.py           # Repository discovery (enhanced with error handling)
│   └── collaborator.py    # Collaborator management (with retry logic)
├── secrets/                # Secret management
│   ├── manager.py         # Secret distribution (fault-tolerant)
│   ├── add.py             # Secret distribution
│   ├── remove.py          # Secret removal
│   └── list.py            # Secret listing
├── automation/             # Automation & scheduling
│   ├── scheduler.py       # Cron job management
│   └── batch.py           # Batch processing
└── config/                 # Configuration system
    ├── loader.py          # Configuration loading
    ├── validator.py       # Validation logic
    └── generator.py       # Config generation

Contributing

# Clone and setup development environment
git clone https://github.com/hugo-valle/classdock.git
cd classdock

# Install with Poetry
poetry install
poetry shell

# Run tests
poetry run pytest tests/ -v

# Test CLI functionality
poetry run classdock --help

# Format code
poetry run black classdock/
poetry run isort classdock/

# Type checking
poetry run mypy classdock/

# Create feature branch
git checkout -b feature/new-feature

Testing

The project includes comprehensive testing with professional-grade coverage:

• 70+ tests across all modules with 100% pass rate
• Unit tests for individual components with proper mocking
• Integration tests for workflow validation and API interactions
• CLI tests for command-line interface with legacy compatibility
• Error handling tests for GitHub API resilience and retry logic
• Comprehensive mocking for reliable test execution without external dependencies

# Run all tests
poetry run pytest tests/ -v

# Run specific test categories
poetry run pytest tests/test_assignments.py -v
poetry run pytest tests/test_cli.py -v
poetry run pytest tests/test_github_exceptions.py -v  # New error handling tests

# Test with coverage
poetry run pytest tests/ --cov=classdock

# Test error handling specifically
poetry run pytest tests/test_github_exceptions.py -v --tb=short

Test Categories

• Module Tests (44 tests) - Core functionality across all components
• Error Handling Tests (26 tests) - GitHub API resilience and retry mechanisms
• CLI Tests (16 tests) - Command-line interface and backward compatibility
• Integration Tests - End-to-end workflow validation

📚 Documentation

Key Resources

• PyPI Package - Official package page
• GitHub Repository - Source code and issues
• CLI Architecture - Modular command structure and design
• Error Handling Guide - GitHub API resilience and retry patterns
• CI/CD Documentation - Automated publishing workflow
• PyPI Publication Guide - Release process documentation

Technical Documentation

• Error Handling System - Comprehensive GitHub API error management with retry logic
• CLI Design Patterns - Modular architecture with backward compatibility
• Testing Framework - Professional test suite with mocking and coverage
• Configuration Management - Flexible, hierarchical configuration system
• Security Practices - Secure credential handling and validation patterns

Version Information

• Current Version: 3.1.1b0 (Beta release with GitHub API integration and comprehensive testing)
• Python Support: 3.10, 3.11, 3.12
• Package Distribution: PyPI with automated CI/CD
• Release Cycle: Semantic versioning with PEP 440 compliant identifiers
• Versioning Strategy: Development Documentation

Recent Improvements (v3.1.1b0)

• 🎯 Universal CLI Options - All commands support --help, --verbose, --dry-run
• 🏗️ CLI Modernization - Complete Typer-based architecture with consistent UX
• 📁 Legacy Preservation - Scripts moved to scripts_legacy/ for backward compatibility
• 🔄 Workflow Consolidation - Eliminated duplicate testing, enhanced CI/CD pipeline
• 🧪 Enhanced Testing - 496+ comprehensive tests with consolidated coverage reporting
• 📚 Documentation Updates - Complete modernization documentation across all resources
• � Beta Release - Ready for broader community testing and feedback

🆘 Support

• Documentation: GitHub Repository
• Issues: GitHub Issues
• Package: PyPI Package
• Discussions: GitHub Discussions

📜 License

MIT License - see LICENSE file for details.

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ClassDock - Modern Python automation for GitHub Classroom assignment management.