#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""Internal side input transforms and implementations.
For internal use only; no backwards-compatibility guarantees.
Important: this module is an implementation detail and should not be used
directly by pipeline writers. Instead, users should use the helper methods
AsSingleton, AsIter, AsList and AsDict in apache_beam.pvalue.
"""
# pytype: skip-file
import re
from typing import TYPE_CHECKING
from typing import Any
from typing import Callable
from typing import Dict
from apache_beam.transforms import window
if TYPE_CHECKING:
  from apache_beam import pvalue
WindowMappingFn = Callable[[window.BoundedWindow], window.BoundedWindow]
SIDE_INPUT_PREFIX = 'python_side_input'
SIDE_INPUT_REGEX = SIDE_INPUT_PREFIX + '([0-9]+)(-.*)?$'
# Top-level function so we can identify it later.
def _global_window_mapping_fn(w, global_window=window.GlobalWindow()):
  # type: (...) -> window.GlobalWindow
  return global_window
[docs]def default_window_mapping_fn(target_window_fn):
  # type: (window.WindowFn) -> WindowMappingFn
  if target_window_fn == window.GlobalWindows():
    return _global_window_mapping_fn
  if isinstance(target_window_fn, window.Sessions):
    raise RuntimeError("Sessions is not allowed in side inputs")
  def map_via_end(source_window):
    # type: (window.BoundedWindow) -> window.BoundedWindow
    return list(
        target_window_fn.assign(
            window.WindowFn.AssignContext(source_window.max_timestamp())))[-1]
  return map_via_end 
class _FilteringIterable(object):
  """An iterable containing only those values in the given window.
  """
  def __init__(self, iterable, target_window):
    self._iterable = iterable
    self._target_window = target_window
  def __iter__(self):
    for wv in self._iterable:
      if self._target_window in wv.windows:
        yield wv.value
  def __reduce__(self):
    # Pickle self as an already filtered list.
    return list, (list(self), )