roo-commander

# Roo Commander Automation Plan

## Task: Automate Data Backup for a Web Application
## Programming Language: Python

### Step 1: Understand the Requirements
- **Objective**: Automate daily backups of user data and database.
- **Constraints**: Must run during off-peak hours, backup to cloud storage.

### Step 2: Generate Backup Script
```python
import os
import datetime
import boto3

# Initialize S3 client
s3 = boto3.client('s3')

# Define backup function
def backup_data():
    # Get current date and time
    now = datetime.datetime.now()
    date_string = now.strftime('%Y-%m-%d_%H-%M-%S')
    
    # Create backup directory
    backup_dir = f'/backups/{date_string}'
    os.makedirs(backup_dir, exist_ok=True)
    
    # Backup user data
    os.system(f'cp -r /var/www/data {backup_dir}/')
    
    # Backup database
    os.system(f'mysqldump -u [DB_USER] -p[DB_PASSWORD] [DB_NAME] > {backup_dir}/database.sql')
    
    # Upload to S3
    for root, dirs, files in os.walk(backup_dir):
        for file in files:
            s3.upload_file(os.path.join(root, file), '[S3_BUCKET]', os.path.join(root, file))

# Schedule backup to run daily at 2 AM
from apscheduler.schedulers.blocking import BlockingScheduler

scheduler = BlockingScheduler()
scheduler.add_job(backup_data, 'cron', hour=2, minute=0)
scheduler.start()
```

### Step 3: Integrate with VS Code
- Save the script as `backup_automation.py` in your project directory.
- Install required packages: `pip install boto3 apscheduler`.
- Configure AWS credentials and database details.

### Step 4: Test and Monitor
- Run the script manually to ensure it works.
- Monitor the S3 bucket for successful uploads.
- Set up logging for future debugging.