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| 1 | +# Design |
| 2 | + |
| 3 | +## API Design |
| 4 | + |
| 5 | +### Endpoint Structure |
| 6 | + |
| 7 | +#### Authentication Endpoints: |
| 8 | + |
| 9 | +- `POST /login`: User login via GitHub OAuth. |
| 10 | +- `POST /logout`: User logout. |
| 11 | + |
| 12 | +#### Data Retrieval Endpoints: |
| 13 | + |
| 14 | +- `GET /stats`: Retrieve aggregated statistics. |
| 15 | +- `GET /workflows`: List workflows with statuses. |
| 16 | +- `GET /workflows/:id`: Get details of a specific workflow. |
| 17 | + |
| 18 | +#### Data Management Endpoints: |
| 19 | + |
| 20 | +- `POST /repositories`: Add a repository to monitor. |
| 21 | +- `DELETE /repositories/:id`: Remove a repository. |
| 22 | + |
| 23 | +### API Features |
| 24 | + |
| 25 | +- **Pagination**: Implement for endpoints returning lists. |
| 26 | +- **Filtering**: Allow filtering by date ranges, status, etc. |
| 27 | +- **Error Handling**: Provide meaningful error messages and HTTP status codes. |
| 28 | +- **Throttling**: Implement rate limiting to prevent abuse. |
| 29 | + |
| 30 | +## Data Collection Strategy |
| 31 | + |
| 32 | +Option A: Polling the GitHub API |
| 33 | + |
| 34 | +- **Scheduled Fetching**: Use a scheduler (like cron jobs) to periodically fetch data from the GitHub API. |
| 35 | +- **Rate Limiting**: Implement logic to handle GitHub's API rate limits (e.g., using conditional requests with ETags). |
| 36 | + |
| 37 | +Option B: GitHub Webhooks |
| 38 | +- **Real-Time Updates**: Set up webhooks to receive events when workflows are triggered, succeed, or fail. |
| 39 | +- **Event Handling**: Create endpoints to handle incoming webhook events securely. |
| 40 | + |
| 41 | +Recommended Approach |
| 42 | +- **Combine Both**: Use webhooks for real-time updates and periodic polling to handle missed events or initial data population. |
| 43 | + |
| 44 | +## Authentication and Authorization |
| 45 | + |
| 46 | +- **GitHub Authentication**: Use a GitHub App or Personal Access Token (PAT) to authenticate API requests. |
| 47 | +- **User Authentication**: Implement OAuth 2.0 to allow users to log in with their GitHub accounts. |
| 48 | +- **Permissions**: Ensure the service respects user permissions and data privacy. |
| 49 | + |
| 50 | +## Tech Stack |
| 51 | + |
| 52 | +- **Programming Language**: Golang for its performance and concurrency support. |
| 53 | +- **Web Framework**: Use gin-gonic/gin for routing and middleware support. |
| 54 | +- **Database**: PostgreSQL for relational data storage and complex queries. |
| 55 | +- **ORM**: Use gorm for interacting with the database. |
| 56 | +- **Caching**: Implement Redis for caching frequently accessed data. |
| 57 | +- **HTTP Client**: Use net/http and oauth2 packages for making authenticated requests to GitHub. |
| 58 | + |
| 59 | +## Architectural Design |
| 60 | + |
| 61 | +### Backend Services |
| 62 | + |
| 63 | +- **API Server**: Handles incoming HTTP requests from the frontend. |
| 64 | +- **Worker Service**: Processes background tasks like polling the GitHub API or handling webhook events. |
| 65 | + |
| 66 | +### Data Flow |
| 67 | + |
| 68 | +- **Data Ingestion**: Collect data via webhooks or polling. |
| 69 | +- **Data Storage**: Store raw data in the database. |
| 70 | +- **Data Processing**: Calculate statistics and store them in a summarized form. |
| 71 | +- **API Layer**: Expose endpoints for the frontend to retrieve data. |
| 72 | + |
| 73 | +### Database Schema Design |
| 74 | + |
| 75 | +- Tables: |
| 76 | + - users: Stores user information. |
| 77 | + - repositories: Tracks repositories being monitored. |
| 78 | + - workflows: Contains workflow definitions. |
| 79 | + - workflow_runs: Records individual workflow executions. |
| 80 | + - statistics: Stores precomputed stats for quick access. |
| 81 | + |
| 82 | +- Relationships: |
| 83 | + - Establish foreign keys between tables for referential integrity. |
| 84 | + |
| 85 | +- Indexing: |
| 86 | + - Index columns frequently used in queries (e.g., timestamps, status). |
| 87 | + |
| 88 | +### Implementing Concurrency |
| 89 | + |
| 90 | +- **Goroutines**: Use for handling multiple simultaneous tasks (e.g., processing webhook events). |
| 91 | +- **Channels**: Communicate between goroutines safely. |
| 92 | +- **Mutexes**: Ensure thread-safe operations when accessing shared resources. |
| 93 | + |
| 94 | +### Security Measures |
| 95 | + |
| 96 | +- **Secure Communication**: Use HTTPS for all client-server communication. |
| 97 | +- **Input Validation**: Sanitize and validate all inputs to prevent injection attacks. |
| 98 | +- **Secrets Management**: Store sensitive information (like API keys) securely, using environment variables or a secrets manager. |
| 99 | +- **Webhook Security**: Validate GitHub webhook payloads using the shared secret. |
| 100 | + |
| 101 | +### Testing Strategy |
| 102 | + |
| 103 | +- **Unit Tests**: Test individual functions and methods. |
| 104 | +- **Integration Tests**: Test interactions with the GitHub API and the database. |
| 105 | +- **End-to-End Tests**: Simulate user interactions with the API. |
| 106 | +- **Mocking**: Use interfaces and mocking libraries to simulate external services. |
| 107 | + |
| 108 | +### Example Workflow |
| 109 | + |
| 110 | +- **User Authentication**: A user logs in via GitHub OAuth and grants permissions. |
| 111 | +- **Repository Selection**: The user selects repositories to monitor. |
| 112 | +- **Data Collection Initiation**: The system sets up webhooks and begins polling if necessary. |
| 113 | +- **Data Ingestion**: Workflow events are received and stored. |
| 114 | +- **Data Processing**: Statistics are calculated and updated in the database. |
| 115 | +- **Data Presentation**: The frontend requests data via the API and presents it to the user. |
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