How to Build a GitHub Code Coverage Badge Generator
Create a powerful tool that automatically generates and updates code coverage badges for GitHub repositories. This project streamlines the process of showcasing code quality, encourages better testing practices, and provides valuable insights for developers and stakeholders alike.
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Simple Summary
A user-friendly Code Coverage Badge Generator for GitHub that automates the process of creating and displaying code coverage metrics, enhancing project transparency and quality assurance.
Product Requirements Document (PRD)
Goals:
- Develop a user-friendly application to generate code coverage badges for GitHub repositories
- Automate the process of calculating and updating code coverage metrics
- Integrate seamlessly with GitHub's ecosystem
- Provide clear, visually appealing badges that display coverage percentages
Target Audience:
- Software developers and teams using GitHub for version control
- Open-source project maintainers
- Quality assurance professionals
Key Features:
- GitHub integration for repository access and webhook support
- Automated code coverage calculation
- Customizable badge designs
- Historical coverage tracking and reporting
- Support for multiple programming languages and testing frameworks
- User dashboard for managing multiple projects
User Requirements:
- Easy setup process with GitHub OAuth authentication
- Intuitive UI for configuring coverage settings and viewing reports
- Real-time badge updates on code changes
- Ability to embed badges in README files and other documentation
User Flows
-
User Registration and GitHub Integration:
- User signs up for the application
- Authenticates with GitHub OAuth
- Selects repositories to monitor for code coverage
-
Coverage Badge Generation:
- User configures coverage settings for a repository
- Application calculates initial code coverage
- Badge is generated and instructions for embedding are provided
-
Viewing and Managing Coverage Reports:
- User accesses dashboard to view coverage metrics across projects
- Analyzes historical data and trends
- Adjusts settings or triggers manual updates as needed
Technical Specifications
- Frontend: React.js for a dynamic and responsive user interface
- Backend: Node.js with Express.js for API development
- Database: PostgreSQL for storing user data and coverage metrics
- Authentication: GitHub OAuth for user authentication
- Coverage Analysis: Language-specific tools (e.g., Jest for JavaScript, Coverage.py for Python)
- Badge Generation: SVG generation library (e.g., D3.js or custom SVG manipulation)
- API Integration: GitHub API for repository access and webhook management
- Hosting: Cloud platform like Heroku or AWS for scalability
- CI/CD: GitHub Actions for automated testing and deployment
API Endpoints
- POST /api/auth/github: Handle GitHub OAuth authentication
- GET /api/repositories: Fetch user's GitHub repositories
- POST /api/coverage/configure: Set up coverage tracking for a repository
- GET /api/coverage/:repoId: Retrieve current coverage data for a repository
- POST /api/coverage/:repoId/update: Trigger manual coverage update
- GET /api/badges/:repoId: Generate and serve coverage badge SVG
Database Schema
Users Table:
- id (PK)
- github_id
- username
- access_token
Repositories Table:
- id (PK)
- user_id (FK to Users)
- github_repo_id
- name
- coverage_config (JSON)
CoverageMetrics Table:
- id (PK)
- repository_id (FK to Repositories)
- timestamp
- coverage_percentage
- lines_covered
- total_lines
File Structure
/src
/components
Header.js
Footer.js
Dashboard.js
RepositoryList.js
CoverageChart.js
BadgeConfigurator.js
/pages
Home.js
Login.js
Dashboard.js
RepositorySettings.js
/api
github.js
coverage.js
badges.js
/utils
svgGenerator.js
coverageCalculator.js
/styles
global.css
components.css
/public
/assets
logo.svg
favicon.ico
/server
/routes
auth.js
repositories.js
coverage.js
badges.js
/models
user.js
repository.js
coverageMetric.js
/services
githubService.js
coverageService.js
server.js
README.md
package.json
.env
Implementation Plan
-
Project Setup (1-2 days)
- Initialize React frontend and Node.js backend
- Set up version control and project structure
-
Authentication and GitHub Integration (3-4 days)
- Implement GitHub OAuth flow
- Create user registration and login functionality
-
Repository Management (2-3 days)
- Develop repository listing and selection features
- Implement webhook setup for selected repositories
-
Coverage Calculation Engine (4-5 days)
- Create modular system for different programming languages
- Implement core coverage calculation logic
-
Badge Generation (2-3 days)
- Develop SVG generation for badges
- Create customization options for badge appearance
-
User Dashboard (3-4 days)
- Build main dashboard interface
- Implement coverage history and trend visualizations
-
API Development (3-4 days)
- Create RESTful API endpoints
- Implement data persistence with PostgreSQL
-
Testing and Quality Assurance (2-3 days)
- Write unit and integration tests
- Perform manual testing and bug fixes
-
Documentation and Deployment (2-3 days)
- Write user and developer documentation
- Set up CI/CD pipeline and deploy to production
Deployment Strategy
- Choose a cloud provider (e.g., Heroku or AWS) for hosting the application
- Set up a managed PostgreSQL database service
- Configure environment variables for sensitive information
- Implement a CI/CD pipeline using GitHub Actions:
- Run tests on every push to the main branch
- Automatically deploy to staging environment on successful test completion
- Manual approval for production deployment
- Set up monitoring and logging (e.g., Sentry for error tracking, Datadog for performance monitoring)
- Implement automated backups for the database
- Use a CDN for serving static assets to improve performance
- Set up SSL certificates for secure HTTPS connections
Design Rationale
- React.js chosen for the frontend due to its component-based architecture and large ecosystem, facilitating rapid development of a dynamic UI.
- Node.js and Express.js selected for the backend to maintain a JavaScript stack, enabling code sharing and improving developer productivity.
- PostgreSQL chosen as the database for its robustness in handling relational data and support for JSON fields, useful for storing flexible coverage configurations.
- SVG format used for badges to ensure high-quality, scalable graphics suitable for various display contexts.
- Modular coverage calculation approach adopted to support multiple programming languages and easy expansion in the future.
- GitHub OAuth implemented for seamless user experience and secure access to repository data.
- Cloud deployment strategy chosen for scalability and ease of maintenance, with CI/CD to ensure reliable and frequent updates.