#!/usr/bin/env python3
"""Download DAX OHLCV data from external sources."""

import argparse
import sys
from pathlib import Path

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

from src.core.enums import Timeframe  # noqa: E402
from src.logging import get_logger  # noqa: E402

logger = get_logger(__name__)


def download_from_csv(
    input_file: str,
    symbol: str,
    timeframe: Timeframe,
    output_dir: Path,
) -> None:
    """
    Copy/convert CSV file to standard format.

    Args:
        input_file: Path to input CSV file
        symbol: Trading symbol
        timeframe: Timeframe enum
        output_dir: Output directory
    """
    from src.data.loaders import CSVLoader

    loader = CSVLoader()
    df = loader.load(input_file, symbol=symbol, timeframe=timeframe)

    # Ensure output directory exists
    output_dir.mkdir(parents=True, exist_ok=True)

    # Save as CSV
    output_file = output_dir / f"{symbol}_{timeframe.value}.csv"
    df.to_csv(output_file, index=False)
    logger.info(f"Saved {len(df)} rows to {output_file}")

    # Also save as Parquet for faster loading
    output_parquet = output_dir / f"{symbol}_{timeframe.value}.parquet"
    df.to_parquet(output_parquet, index=False)
    logger.info(f"Saved {len(df)} rows to {output_parquet}")


def download_from_api(
    symbol: str,
    timeframe: Timeframe,
    start_date: str,
    end_date: str,
    output_dir: Path,
    api_provider: str = "manual",
) -> None:
    """
    Download data from API (placeholder for future implementation).

    Args:
        symbol: Trading symbol
        timeframe: Timeframe enum
        start_date: Start date (YYYY-MM-DD)
        end_date: End date (YYYY-MM-DD)
        output_dir: Output directory
        api_provider: API provider name
    """
    logger.warning(
        "API download not yet implemented. " "Please provide CSV file using --input-file option."
    )
    logger.info(
        f"Would download {symbol} {timeframe.value} data " f"from {start_date} to {end_date}"
    )


def main():
    """Main entry point."""
    parser = argparse.ArgumentParser(
        description="Download DAX OHLCV data",
        formatter_class=argparse.RawDescriptionHelpFormatter,
        epilog="""
Examples:
  # Download from CSV file
  python scripts/download_data.py --input-file data.csv \\
      --symbol DAX --timeframe 1min \\
      --output data/raw/ohlcv/1min/

  # Download from API (when implemented)
  python scripts/download_data.py --symbol DAX --timeframe 5min \\
      --start 2024-01-01 --end 2024-01-31 \\
      --output data/raw/ohlcv/5min/
        """,
    )

    # Input options
    input_group = parser.add_mutually_exclusive_group(required=True)
    input_group.add_argument(
        "--input-file",
        type=str,
        help="Path to input CSV file",
    )
    input_group.add_argument(
        "--api",
        action="store_true",
        help="Download from API (not yet implemented)",
    )

    # Required arguments
    parser.add_argument(
        "--symbol",
        type=str,
        default="DAX",
        help="Trading symbol (default: DAX)",
    )
    parser.add_argument(
        "--timeframe",
        type=str,
        choices=["1min", "5min", "15min"],
        required=True,
        help="Timeframe",
    )
    parser.add_argument(
        "--output",
        type=str,
        required=True,
        help="Output directory",
    )

    # Optional arguments for API download
    parser.add_argument(
        "--start",
        type=str,
        help="Start date (YYYY-MM-DD) for API download",
    )
    parser.add_argument(
        "--end",
        type=str,
        help="End date (YYYY-MM-DD) for API download",
    )

    args = parser.parse_args()

    try:
        # Convert timeframe string to enum
        timeframe_map = {
            "1min": Timeframe.M1,
            "5min": Timeframe.M5,
            "15min": Timeframe.M15,
        }
        timeframe = timeframe_map[args.timeframe]

        # Create output directory
        output_dir = Path(args.output)
        output_dir.mkdir(parents=True, exist_ok=True)

        # Download data
        if args.input_file:
            logger.info(f"Downloading from CSV: {args.input_file}")
            download_from_csv(args.input_file, args.symbol, timeframe, output_dir)
        elif args.api:
            if not args.start or not args.end:
                parser.error("--start and --end are required for API download")
            download_from_api(
                args.symbol,
                timeframe,
                args.start,
                args.end,
                output_dir,
            )

        logger.info("Data download completed successfully")
        return 0

    except Exception as e:
        logger.error(f"Data download failed: {e}", exc_info=True)
        return 1


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