watchdog_structure.py

"""
WATCHDOG AI - Project Structure
================================

Create this folder structure in VS Code:

watchdog_ai/
│
├── src/
│   ├── __init__.py
│   ├── misinformation_detector.py
│   ├── quality_scorer.py
│   ├── redundancy_detector.py
│   ├── sustainability_tracker.py
│   └── dataset_processor.py
│
├── models/
│   ├── __init__.py
│   └── ensemble_detector.py
│
├── api/
│   ├── __init__.py
│   └── app.py
│
├── utils/
│   ├── __init__.py
│   ├── text_utils.py
│   └── config.py
│
├── data/
│   ├── raw/
│   ├── processed/
│   └── artifacts/
│
├── tests/
│   ├── __init__.py
│   ├── test_detector.py
│   ├── test_quality.py
│   └── test_pipeline.py
│
├── notebooks/
│   └── exploration.ipynb
│
├── requirements.txt
├── setup.py
├── README.md
├── .gitignore
└── main.py

"""

# requirements.txt
REQUIREMENTS = """numpy>=1.24.0
pandas>=2.0.0
scikit-learn>=1.3.0
transformers>=4.30.0
torch>=2.0.0
flask>=2.3.0
flask-cors>=4.0.0
joblib>=1.3.0
python-dotenv>=1.0.0
pytest>=7.4.0
black>=23.0.0
"""

# .gitignore
GITIGNORE = """# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg

# Virtual Environment
venv/
ENV/
env/

# IDE
.vscode/
.idea/
*.swp
*.swo

# Data
data/raw/*
!data/raw/.gitkeep
data/processed/*
!data/processed/.gitkeep
data/artifacts/*
!data/artifacts/.gitkeep

# Models
*.joblib
*.pkl
*.h5
*.pth

# Logs
*.log

# Environment variables
.env

# OS
.DS_Store
Thumbs.db
"""

# setup.py
SETUP = """from setuptools import setup, find_packages

setup(
    name="watchdog-ai",
    version="1.0.0",
    description="AI-powered data quality and misinformation detection pipeline",
    author="Your Name",
    packages=find_packages(),
    install_requires=[
        "numpy>=1.24.0",
        "pandas>=2.0.0",
        "scikit-learn>=1.3.0",
        "transformers>=4.30.0",
        "torch>=2.0.0",
        "flask>=2.3.0",
        "flask-cors>=4.0.0",
        "joblib>=1.3.0",
        "python-dotenv>=1.0.0",
    ],
    python_requires=">=3.8",
)
"""

# README.md
README = """# Watchdog AI 🛡️

AI-powered pipeline for data quality assessment, misinformation detection, and sustainability tracking.

## Features

- **Misinformation Detection**: Pattern-based + ML detection
- **Quality Scoring**: Multi-dimensional quality assessment
- **Redundancy Detection**: Exact and semantic duplicate removal
- **Sustainability Tracking**: Environmental impact monitoring

## Quick Start

### Installation

```bash
# Clone the repository
git clone <your-repo-url>
cd watchdog_ai

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\\Scripts\\activate

# Install dependencies
pip install -r requirements.txt
```

### Basic Usage

```python
from src.dataset_processor import DatasetProcessor
import pandas as pd

# Load your data
df = pd.read_csv('your_data.csv')

# Process the dataset
processor = DatasetProcessor()
results = processor.process_dataframe(
    df,
    text_column='text',
    source_column='source',
    quality_threshold=0.5
)

# Access cleaned data
cleaned_df = results['final_df']
cleaned_df.to_csv('cleaned_data.csv', index=False)
```

### API Usage

```bash
# Start the API server
python api/app.py

# API will be available at http://localhost:5000
```

### CLI Usage

```bash
# Process a CSV file
python main.py process --input data.csv --output cleaned.csv

# Train a model
python main.py train --data train.jsonl --model artifacts/model

# Run tests
pytest tests/
```

## Project Structure

- `src/` - Core detection and processing modules
- `models/` - ML model implementations
- `api/` - Flask REST API
- `utils/` - Utility functions and configurations
- `tests/` - Unit and integration tests
- `data/` - Data storage (raw, processed, artifacts)

## Configuration

Create a `.env` file:

```
NEWSAPI_KEY=your_key_here
MODEL_PATH=data/artifacts/
LOG_LEVEL=INFO
```

## License

MIT License
"""

print("=" * 70)
print("📁 WATCHDOG AI - Project Structure Created")
print("=" * 70)
print("\n✅ Copy the folder structure above to your VS Code project")
print("\n📝 Files to create:")
print("   - requirements.txt")
print("   - setup.py")
print("   - .gitignore")
print("   - README.md")
print("\n🚀 Next: I'll create the individual module files!")