This application tracks events from up to a given number of GitHub repositories using the GitHub Events API. It collects events and stores them locally in a SQLite database to minimize API requests and to retain data across restarts. The REST API provides statistics based on a rolling window defined by either a given number of days or a given number of events (whichever is less). Specifically, for each repository and event type combination, the API returns the average time (in seconds) between consecutive events.

• Configurable Repositories: Monitor up to a given number repositories by listing them in config.json.
• Rolling Window Statistics: For each repository and event type, statistics are computed from events in the last given number of days (or the latest given number of events, if fewer).
• REST API Endpoint: A GET endpoint at /stats returns the average time interval between events.
• Data Persistence: All fetched events are stored in a local SQLite database (events.db), ensuring data is retained between restarts.
• Efficient GitHub API Usage: The application minimizes requests by periodically polling and ignoring duplicate events.

• The GitHub Events API endpoint https://api.github.com/repos/{repo}/events is used without authentication (which has lower rate limits). In a production setting, you might consider using authenticated requests.
• The rolling window is defined as events that occurred in the last {7} days. If more than {500} events occur within that period, only the most recent {500} are used for the statistics.
• Event timestamps are assumed to be in ISO 8601 format (as provided by GitHub) and are stored as UTC.
• For simplicity, error handling is basic. In production, you might add retries, exponential backoff, and more robust error logging.
• The application uses APScheduler to poll GitHub every {60} seconds.

• Python 3.11 or higher
• pip (Python package installer)

1. Clone the repository or download the project files.

2. Install dependencies:

   pip install -r requirements.txt
   

3. Configure Repositories:

   Edit the config.json file to list the GitHub repositories you wish to monitor. For example:

   {
     "repositories": [
       "torvalds/linux",
       "psf/requests",
       "..."
     ]
   }

4. Run the app:

   python .\app.py
   

5. Check results:

   http://127.0.0.1:5000/stats