"""CLI for data download phase."""

import click
from datetime import date

from pipeline.data.downloader import download_universe


@click.group(name="data")
def data():
    """Download and manage market data."""


@data.command("download")
@click.option(
    "--universe", default="csi500",
    help="Which universe: hs300, csi500, all (~5000 A-shares), file path, or comma-separated symbols",
)
@click.option("--start-date", default="2017-01-01", help="Start date YYYY-MM-DD")
@click.option("--end-date", default=str(date.today()), help="End date YYYY-MM-DD")
@click.option("--output-dir", default="data/daily_bars", help="Root for the partitioned dataset")
@click.option("--symbols", default=0, type=int, help="Max symbols (0=all)")
@click.option("--chunk-size", default=300, type=int, help="Symbols per durability flush")
@click.option("--adjust", default="qfq", help="Price adjust: qfq, hfq, or none")
def download(universe, start_date, end_date, output_dir, symbols, chunk_size, adjust):
    """Download daily bars into a month-partitioned parquet dataset.

    Writes ``{output_dir}/{universe}/month=YYYY-MM/*.pq``. Point ``alpha
    compute --data-path`` at that dataset directory.
    """
    stats = download_universe(
        universe=universe,
        start_date=start_date,
        end_date=end_date,
        output_dir=output_dir,
        max_symbols=symbols,
        chunk_size=chunk_size,
        adjust=adjust,
    )
    click.echo(
        f"\nSummary: {stats['n_symbols']}/{stats['n_requested']} symbols, "
        f"{stats['n_rows']:,} bars, {stats['date_min']} → {stats['date_max']}"
    )
    click.echo(f"Dataset: {stats['dataset_path']}")