sdks/python/apache_beam/internal/pickler.py

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#    http://www.apache.org/licenses/LICENSE-2.0
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"""Pickler for values, functions, and classes.

For internal use only. No backwards compatibility guarantees.

Pickles created by the pickling library contain non-ASCII characters, so
we base64-encode the results so that we can put them in a JSON objects.
The pickler is used to embed FlatMap callable objects into the workflow JSON
description.

The pickler module should be used to pickle functions and modules; for values,
the coders.*PickleCoder classes should be used instead.
"""

from apache_beam.internal import cloudpickle_pickler

try:
  from apache_beam.internal import dill_pickler
except ImportError:
  dill_pickler = None  # type: ignore[assignment]

USE_CLOUDPICKLE = 'cloudpickle'
USE_DILL = 'dill'
USE_DILL_UNSAFE = 'dill_unsafe'

DEFAULT_PICKLE_LIB = USE_CLOUDPICKLE
desired_pickle_lib = cloudpickle_pickler


def dumps(
    o,
    enable_trace=True,
    use_zlib=False,
    enable_best_effort_determinism=False,
    enable_stable_code_identifier_pickling=False) -> bytes:

  if (desired_pickle_lib == cloudpickle_pickler):
    return cloudpickle_pickler.dumps(
        o,
        enable_trace=enable_trace,
        use_zlib=use_zlib,
        enable_best_effort_determinism=enable_best_effort_determinism,
        enable_stable_code_identifier_pickling=
        enable_stable_code_identifier_pickling,
    )
  return desired_pickle_lib.dumps(
      o,
      enable_trace=enable_trace,
      use_zlib=use_zlib,
      enable_best_effort_determinism=enable_best_effort_determinism)


def loads(encoded, enable_trace=True, use_zlib=False):
  """For internal use only; no backwards-compatibility guarantees."""

  return desired_pickle_lib.loads(
      encoded, enable_trace=enable_trace, use_zlib=use_zlib)


def roundtrip(o):
  """Internal utility for testing round-trip pickle serialization."""
  return desired_pickle_lib.roundtrip(o)


def dump_session(file_path):
  """For internal use only; no backwards-compatibility guarantees.

  Pickle the current python session to be used in the worker.
  """

  return desired_pickle_lib.dump_session(file_path)


def load_session(file_path):
  return desired_pickle_lib.load_session(file_path)


def is_currently_dill():
  return desired_pickle_lib == dill_pickler


def is_currently_cloudpickle():
  return desired_pickle_lib == cloudpickle_pickler


def set_library(selected_library=DEFAULT_PICKLE_LIB):
  """ Sets pickle library that will be used. """
  global desired_pickle_lib

  if selected_library == 'default':
    selected_library = DEFAULT_PICKLE_LIB

  if selected_library == USE_DILL and not dill_pickler:
    raise ImportError(
        "Pipeline option pickle_library=dill is set, but dill is not "
        "installed. Install apache-beam with the dill extras package "
        "e.g. apache-beam[dill].")
  if selected_library == USE_DILL_UNSAFE and not dill_pickler:
    raise ImportError(
        "Pipeline option pickle_library=dill_unsafe is set, but dill is not "
        "installed. Install dill in job submission and runtime environments.")

  dill_is_requested = (
      selected_library == USE_DILL or selected_library == USE_DILL_UNSAFE)

  # If switching to or from dill, update the pickler hook overrides.
  if is_currently_dill() != dill_is_requested:
    dill_pickler.override_pickler_hooks(selected_library == USE_DILL)

  if dill_is_requested:
    desired_pickle_lib = dill_pickler
  elif selected_library == USE_CLOUDPICKLE:
    desired_pickle_lib = cloudpickle_pickler
  else:
    raise ValueError(f'Unknown pickler library: {selected_library}')