"""
Test script for data quality analysis module.

Run this to verify the quality checks work correctly and generate
a quality report for the MNIST dataset.
"""

import sys
import json
from pathlib import Path

# Add project root to path
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))

from scripts.data_loader import MnistDataloader
from scripts.data_quality import generate_quality_report, print_quality_summary


def main():
    """Run quality checks and save report."""
    print("Loading MNIST dataset...")
    data_path = project_root / "data" / "raw"

    loader = MnistDataloader(
        str(data_path / "train-images.idx3-ubyte"),
        str(data_path / "train-labels.idx1-ubyte"),
        str(data_path / "t10k-images.idx3-ubyte"),
        str(data_path / "t10k-labels.idx1-ubyte")
    )

    (x_train, y_train), (x_test, y_test) = loader.load_data()
    print("✓ Dataset loaded\n")

    # Generate quality report
    print("Running quality checks...")
    report = generate_quality_report((x_train, y_train), (x_test, y_test))
    print("✓ Quality checks complete\n")

    # Print summary
    print_quality_summary(report)

    # Save report as JSON
    output_path = project_root / "data" / "quality_report.json"
    with open(output_path, 'w') as f:
        json.dump(report, f, indent=2)

    print(f"✓ Quality report saved to: {output_path}")

    return 0 if report['summary']['all_checks_pass'] else 1


if __name__ == "__main__":
    exit_code = main()
    sys.exit(exit_code)