image-match/python/py/Lib/site-packages/ray/data/datasource/filename_provider.py

from typing import Any, Dict, Optional

from ray.data.block import Block
from ray.util.annotations import PublicAPI


@PublicAPI(stability="alpha")
class FilenameProvider:
    """Generates filenames when you write a :class:`~ray.data.Dataset`.

    Use this class to customize the filenames used when writing a Dataset.

    Some methods write each row to a separate file, while others write each block to a
    separate file. For example, :meth:`ray.data.Dataset.write_images` writes individual
    rows, and :func:`ray.data.Dataset.write_parquet` writes blocks of data. For more
    information about blocks, see :ref:`Data internals <datasets_scheduling>`.

    If you're writing each row to a separate file, implement
    :meth:`~FilenameProvider.get_filename_for_row`. Otherwise, implement
    :meth:`~FilenameProvider.get_filename_for_block`.

    Example:

        This snippet shows you how to encode labels in written files. For example, if
        `"cat"` is a label, you might write a file named `cat_000000_000000_000000.png`.

        .. testcode::

            import ray
            from ray.data.datasource import FilenameProvider

            class ImageFilenameProvider(FilenameProvider):

                def __init__(self, file_format: str):
                    self.file_format = file_format

                def get_filename_for_row(self, row, write_uuid, task_index, block_index, row_index):
                    return (
                        f"{row['label']}_{write_uuid}_{task_index:06}_{block_index:06}"
                        f"_{row_index:06}.{self.file_format}"
                    )

            ds = ray.data.read_parquet("s3://anonymous@ray-example-data/images.parquet")
            ds.write_images(
                "/tmp/results",
                column="image",
                filename_provider=ImageFilenameProvider("png")
            )
    """  # noqa: E501

    def get_filename_for_block(
        self, block: Block, write_uuid: str, task_index: int, block_index: int
    ) -> str:
        """Generate a filename for a block of data.

        .. note::
            Filenames must be unique and deterministic for a given write UUID, and
            task and block index.

            A block consists of multiple rows and corresponds to a single output file.
            Each task might produce a different number of blocks.

        Args:
            block: The block that will be written to a file.
            write_uuid: The UUID of the write operation.
            task_index: The index of the write task.
            block_index: The index of the block *within* the write task.
        """
        raise NotImplementedError

    def get_filename_for_row(
        self,
        row: Dict[str, Any],
        write_uuid: str,
        task_index: int,
        block_index: int,
        row_index: int,
    ) -> str:
        """Generate a filename for a row.

        .. note::
            Filenames must be unique and deterministic for a given write UUID, and
            task, block, and row index.

            A block consists of multiple rows, and each row corresponds to a single
            output file. Each task might produce a different number of blocks, and each
            block might contain a different number of rows.

        .. tip::
            If you require a contiguous row index into the global dataset, use
            :meth:`~ray.data.Dataset.iter_rows`. This method is single-threaded and
            isn't recommended for large datasets.

        Args:
            row: The row that will be written to a file.
            write_uuid: The UUID of the write operation.
            task_index: The index of the write task.
            block_index: The index of the block *within* the write task.
            row_index: The index of the row *within* the block.
        """
        raise NotImplementedError


class _DefaultFilenameProvider(FilenameProvider):
    def __init__(
        self, dataset_uuid: Optional[str] = None, file_format: Optional[str] = None
    ):
        self._dataset_uuid = dataset_uuid
        self._file_format = file_format

    def get_filename_for_block(
        self, block: Block, write_uuid: str, task_index: int, block_index: int
    ) -> str:
        file_id = f"{write_uuid}_{task_index:06}_{block_index:06}"
        return self._generate_filename(file_id)

    def get_filename_for_row(
        self,
        row: Dict[str, Any],
        write_uuid: str,
        task_index: int,
        block_index: int,
        row_index: int,
    ) -> str:
        file_id = f"{write_uuid}_{task_index:06}_{block_index:06}_{row_index:06}"
        return self._generate_filename(file_id)

    def _generate_filename(self, file_id: str) -> str:
        filename = ""
        if self._dataset_uuid is not None:
            filename += f"{self._dataset_uuid}_"
        filename += file_id
        if self._file_format is not None:
            filename += f".{self._file_format}"
        return filename