File size: 1,851 Bytes
16dc73e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | #!/usr/bin/env python3
"""Build the native Parquet shard published by the Hugging Face mirror."""
from __future__ import annotations
import argparse
import json
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
DEFAULT_INPUT = ROOT / "data" / "resources.jsonl"
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--input", type=Path, default=DEFAULT_INPUT, help="source JSON Lines export")
parser.add_argument("--output", type=Path, required=True, help="destination Parquet shard")
args = parser.parse_args()
try:
import pyarrow.json as arrow_json
import pyarrow.parquet as parquet
except ModuleNotFoundError:
print("pyarrow is required: python3 -m pip install pyarrow", file=sys.stderr)
return 1
expected_rows = sum(1 for line in args.input.read_text(encoding="utf-8").splitlines() if line.strip())
table = arrow_json.read_json(args.input)
if table.num_rows != expected_rows:
print(f"expected {expected_rows} rows, parsed {table.num_rows}", file=sys.stderr)
return 1
args.output.parent.mkdir(parents=True, exist_ok=True)
parquet.write_table(
table,
args.output,
compression="zstd",
use_dictionary=True,
write_statistics=True,
)
metadata = parquet.read_metadata(args.output)
if metadata.num_rows != expected_rows or metadata.num_columns != len(table.column_names):
print("written Parquet metadata does not match the source table", file=sys.stderr)
return 1
summary = {
"columns": metadata.num_columns,
"output": str(args.output),
"rows": metadata.num_rows,
}
print(json.dumps(summary, sort_keys=True))
return 0
if __name__ == "__main__":
raise SystemExit(main())
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