Application that fetches data from external sources, performs actions based on defined rules, and presents the system state through a React-based UI.

The system currently implements the following automation rules:

1. Weather-based: Pauses Twitter ads if temperature exceeds 30°C, activates them otherwise
2. Sports-based: Activates Facebook ads if home team wins, pauses them otherwise
3. Time-based: Activates Instagram ads during prime hours (8 AM - 8 PM), pauses them during off-hours

• Backend API: FastAPI-based REST API
• Data Ingestion: Fetches weather and sports data from external APIs
• Automation Engine: Performs actions based on input data
• React Frontend: Responsive, component-based UI
• Scheduling: Runs on a configurable cadence

• Node.js 16+ and npm (for local frontend development)
• Python 3.9+ (for local backend development)

1. Go to the backend directory:

cd backend

2. Create a virtual environment:

python -m venv venv source venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Run the application:

uvicorn app.main:app --reload

or

python run.py

1. Go to the frontend directory:

cd frontend

2. Install dependencies:

npm install npm run build

3. Start the development server: npm start

• GET /api/logs - Retrieve action logs
• GET /api/state - Get current state of social targets
• PUT /api/state/{target} - Update target state
• POST /api/run - Manually trigger automation
• PUT /api/cadence - Update automation cadence
• GET /api/settings - Get current settings
• DELETE /api/logs - Clear all logs from the database