GitHub Actions Automation Test Project

This is a project designed to test and demonstrate GitHub Actions functionality. It implements an automated weather monitoring system that weekly fetches weather information for Taipei and logs it to a file.

Features

• Automated Execution: Weekly automated runs using GitHub Actions
• Weather Monitoring: Fetches weather information for Taipei
• Logging: Automatic logging of execution results and weather data
• Auto-commit: Automatically commits updated log files to the repository

Tech Stack

• Python 3.12
• GitHub Actions
• requests library (for API requests)
• logging module (for log management)

Setup Instructions

1. Clone the repository:

git clone [your-repository-url]

2. Set up virtual environment:

python -m venv venv
source venv/bin/activate  # Linux/Mac
# or
.\venv\Scripts\activate  # Windows

3. Install dependencies:

pip install -r requirements.txt

GitHub Actions Configuration

This project includes a GitHub Actions workflow configured in .github/workflows/actions.yml:

• Automatically runs at 00:00 every day
• Uses Ubuntu latest as the runtime environment
• Automatically installs Python 3.12
• Automatically installs required dependencies
• Executes the trigger_test.py script
• Automatically commits updated log files

Environment Variables

The following environment variables need to be set in your GitHub repository's Settings > Secrets:

• SOME_SECRET: Secret key for testing purposes

Log Files

• Log files are saved in status.log
• Uses RotatingFileHandler for log rotation
• Maximum file size: 1MB
• Keeps 1 backup file

Usage Instructions

1. Local Testing:

python trigger_test.py

2. Automated Execution:

• No manual intervention required, GitHub Actions will execute automatically
• Execution results can be viewed in the Actions tab

Notes

• Ensure GitHub Secrets are properly configured
• Set up corresponding environment variables for local testing
• Log files will be automatically committed to the repository