| import os |
|
|
| import click |
| import polars as pl |
|
|
|
|
| @click.command() |
| @click.option( |
| "--src_dir", |
| type=click.Path(exists=True, file_okay=False), |
| required=True, |
| help="Path to the directory containing source Parquet files, e.g., './50m'.", |
| ) |
| @click.option( |
| "--dst_dir", |
| type=click.Path(file_okay=False), |
| required=False, |
| help="Path to the directory where Parquet files will be saved. " |
| "If not specified, Parquet files are saved in 'src_dir' with prefix 'seq_'.", |
| ) |
| @click.option( |
| "--files", |
| type=str, |
| multiple=True, |
| help="List of parquet filenames to convert. If not specified, all Parquet files in 'src_dir' will be converted. " |
| "For example, '--files dislike.parquet --files like.parquet'.", |
| ) |
| @click.option( |
| "--aggregation", |
| type=click.Choice(["structs", "columns"]), |
| required=True, |
| help="Agg method: 'structs' for a sequence of structs per 'uid', 'columns' for individual column aggregation.", |
| ) |
| def cli(src_dir: str, dst_dir: str, files: list[str], aggregation: str): |
| transform2sequential(src_dir, dst_dir, files, aggregation) |
|
|
|
|
| def transform2sequential(src_dir: str, dst_dir: str, files: list[str], aggregation: str): |
| for file in files: |
| print(f"Processing file: {file}") |
|
|
| src_path = os.path.join(src_dir, file) |
|
|
| parquet_path = os.path.join(dst_dir, file) |
|
|
| if os.path.exists(parquet_path): |
| parquet_path = os.path.join(dst_dir, f"{aggregation}_" + file) |
| assert not os.path.exists(parquet_path) |
|
|
| os.makedirs(dst_dir, exist_ok=True) |
|
|
| df = pl.scan_parquet(src_path) |
|
|
| if aggregation == "structs": |
| seq_df = ( |
| df.select("uid", pl.struct(pl.all().exclude("uid")).alias("events")) |
| .group_by("uid", maintain_order=True) |
| .agg(pl.col("events")) |
| ) |
| seq_df.sink_parquet( |
| parquet_path, |
| compression="lz4", |
| statistics=True, |
| ) |
|
|
| elif aggregation == "columns": |
| col_agg_df = df.group_by("uid", maintain_order=True).agg(pl.all().exclude("uid")) |
| col_agg_df.sink_parquet( |
| parquet_path, |
| compression="lz4", |
| statistics=True, |
| ) |
|
|
|
|
| if __name__ == "__main__": |
| cli() |
|
|
