Source code for datasalad.runners.iter_subproc

from __future__ import annotations

from typing import (
    TYPE_CHECKING,
)

if TYPE_CHECKING:
    from collections.abc import (
        Iterable,
        Mapping,
    )
    from pathlib import Path

from datasalad import iterable_subprocess

try:
    # we "type-ignore" the next line, because we run mypy configured
    # to anticipate an old Python 3.8, but likely run on a newer one
    from shutil import COPY_BUFSIZE  # type: ignore
except ImportError:  # pragma: no cover
    import sys

    # too old
    # backported windows default from from Python 3.10.
    COPY_BUFSIZE = 1024 * 1024 if sys.platform.startswith('win') else 64 * 1024

__all__ = ['iter_subproc']


[docs] def iter_subproc( args: list[str], *, inputs: Iterable[bytes] | None = None, chunk_size: int = COPY_BUFSIZE, cwd: Path | None = None, bufsize: int = -1, env: Mapping[str, str] | None = None, swap_stderr: bool = False, ): """Context manager to communicate with a subprocess using iterables This offers a higher level interface to subprocesses than Python's built-in ``subprocess`` module. It allows a subprocess to be naturally placed in a chain of iterables as part of a data processing pipeline. It is also helpful when data won't fit in memory and has to be streamed. This is a convenience wrapper around ``datasalad.iterable_subprocess``, which itself is a slightly modified (for use on Windows) fork of https://github.com/uktrade/iterable-subprocess, written by Michal Charemza. The argument ``program`` set the executable and arguments of the subprocess to run. ``input_chunks`` is any iterable to feed to the subprocess's standard input. It could be an iterable with no items, when no standard input is required. ``chunk_size`` determines the minimum output size to be procduced by the subprocess before an output chunk is yielded (set this low enough when, for example, reading progress information). ``cwd`` is the path to serve as the working directory of the subprocess. ``bufsize`` is passed to ``Popen()`` and affects the creation of the stdin/stdout/stderr pipe file objects used to communicate with the subprocess. ``env`` is passed to ``Popen()`` as a complete alternative environment for the subprocess, instead of the parent process' one. ``swap_stderr`` can be set to ``True`` when the relevant output to be yielded is coming via standard error. If ``True``, the roles of ``stdout`` and ``stderr`` are swapped with respect to reporting. This function provides a context manager. On entering the context, the subprocess is started, the thread to read from standard error is started, the thread to populate subprocess input is started. When running, the standard input thread iterates over the input, passing chunks to the process, while the standard error thread fetches the error output, and while the main thread iterates over the process's output from client code in the context. On context exit, the main thread closes the process's standard output, waits for the standard input thread to exit, waits for the standard error thread to exit, and wait for the process to exit. If the process exited with a non-zero return code, a ``CommandError`` is raised, containing the process's return code. If the context is exited due to an exception that was raised in the context, the main thread terminates the process via ``Popen.terminate()``, closes the process's standard output, waits for the standard input thread to exit, waits for the standard error thread to exit, waits for the process to exit, and re-raises the exception. >>> # regular execution, no input iterable >>> with iter_subproc(['printf', 'test']) as proc: ... for chunk in proc: ... print(chunk) b'test' >>> # feed subprocess stdin from an iterable >>> with iter_subproc(['cat'], inputs=[b'one', b'two', b'three']) as proc: ... for chunk in proc: ... print(chunk) b'onetwothree' Note, if an exception is raised in the context, this exception will bubble up to the main thread. That means no ``CommandError`` will be raised if the subprocess exited with a non-zero return code. To access the return code in case of an exception inside the context, use the ``returncode``-attribute of the ``as``-variable. This object will always contain the return code of the subprocess. For example, the following code will raise a ``StopIteration``-exception in the context (by repeatedly using :func:`next`). The subprocess will exit with ``2`` due to the illegal option ``-@``, and no ``CommandError`` is raised. The return code is read from the variable ``ls_stdout`` .. code-block:: python >> try: .. with iter_subproc(['ls', '-@']) as ls_stdout: .. while True: .. next(ls_stdout) .. except Exception as e: .. print(repr(e), ls_stdout.returncode) StopIteration() 2 Parameters ---------- args: list Sequence of program arguments to be passed to ``subprocess.Popen``. inputs: iterable, optional If given, chunks of ``bytes`` to be written, iteratively, to the subprocess's ``stdin``. chunk_size: int, optional Size of chunks to read from the subprocess's stdout/stderr in bytes. cwd: Path Working directory for the subprocess, passed to ``subprocess.Popen``. bufsize: int, optional Buffer size to use for the subprocess's ``stdin``, ``stdout``, and ``stderr``. See ``subprocess.Popen`` for details. Returns ------- contextmanager """ return iterable_subprocess.iterable_subprocess( args, () if inputs is None else inputs, chunk_size=chunk_size, cwd=cwd, bufsize=bufsize, env=env, swap_stderr=swap_stderr, )