Files
ray-project--ray/python/ray/data/_internal/datasource/json_datasink.py
T
2026-07-13 13:17:40 +08:00

37 lines
1.3 KiB
Python

from typing import Any, Callable, Dict, Optional
import pyarrow
from ray.data.block import BlockAccessor
from ray.data.datasource.file_based_datasource import _resolve_kwargs
from ray.data.datasource.file_datasink import BlockBasedFileDatasink
class JSONDatasink(BlockBasedFileDatasink):
def __init__(
self,
path: str,
*,
pandas_json_args_fn: Optional[Callable[[], Dict[str, Any]]] = None,
pandas_json_args: Optional[Dict[str, Any]] = None,
file_format: str = "json",
**file_datasink_kwargs,
):
super().__init__(path, file_format=file_format, **file_datasink_kwargs)
if pandas_json_args_fn is None:
pandas_json_args_fn = lambda: {} # noqa: E731
if pandas_json_args is None:
pandas_json_args = {}
self.pandas_json_args_fn = pandas_json_args_fn
self.pandas_json_args = pandas_json_args
def write_block_to_file(self, block: BlockAccessor, file: "pyarrow.NativeFile"):
writer_args = _resolve_kwargs(self.pandas_json_args_fn, **self.pandas_json_args)
orient = writer_args.pop("orient", "records")
lines = writer_args.pop("lines", True)
block.to_pandas().to_json(file, orient=orient, lines=lines, **writer_args)