Add minute bar feature pipeline

pipeline/data/cli.py

@@ -3,7 +3,7 @@
 import click
 from datetime import date
 
-from pipeline.data.downloader import download_universe
+from pipeline.data.downloader import download_minute_universe, download_universe
 
 
 @click.group(name="data")
@@ -42,3 +42,37 @@ def download(universe, start_date, end_date, output_dir, symbols, chunk_size, ad
         f"{stats['n_rows']:,} bars, {stats['date_min']} → {stats['date_max']}"
     )
     click.echo(f"Dataset: {stats['dataset_path']}")
+
+
+@data.command("download-minute")
+@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/minute_bars", help="Root for the partitioned dataset")
+@click.option("--symbols", default=0, type=int, help="Max symbols (0=all)")
+@click.option("--chunk-size", default=100, type=int, help="Symbols per durability flush")
+@click.option("--frequency", default="5", help="Minute frequency: 5, 15, 30, or 60")
+def download_minute(universe, start_date, end_date, output_dir, symbols, chunk_size, frequency):
+    """Download raw Baostock minute bars into a partitioned parquet dataset.
+
+    Writes ``{output_dir}/{universe}/frequency=5m/month=YYYY-MM/*.pq`` for the
+    default 5-minute frequency.
+    """
+    stats = download_minute_universe(
+        universe=universe,
+        start_date=start_date,
+        end_date=end_date,
+        output_dir=output_dir,
+        max_symbols=symbols,
+        chunk_size=chunk_size,
+        frequency=frequency,
+    )
+    click.echo(
+        f"\nSummary: {stats['n_symbols']}/{stats['n_requested']} symbols, "
+        f"{stats['n_rows']:,} bars, {stats['date_min']} → {stats['date_max']}, "
+        f"frequency={stats['frequency']}"
+    )
+    click.echo(f"Dataset: {stats['dataset_path']}")