#
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# 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.
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#
"""Provides TestStream for verifying streaming runner semantics.
For internal use only; no backwards-compatibility guarantees.
"""
# pytype: skip-file
from __future__ import absolute_import
from abc import ABCMeta
from abc import abstractmethod
from builtins import object
from functools import total_ordering
from future.utils import with_metaclass
from apache_beam import coders
from apache_beam import pvalue
from apache_beam.portability import common_urns
from apache_beam.portability.api import beam_runner_api_pb2
from apache_beam.transforms import PTransform
from apache_beam.transforms import core
from apache_beam.transforms import window
from apache_beam.transforms.window import TimestampedValue
from apache_beam.utils import timestamp
from apache_beam.utils.windowed_value import WindowedValue
__all__ = [
'Event',
'ElementEvent',
'WatermarkEvent',
'ProcessingTimeEvent',
'TestStream',
]
[docs]@total_ordering
class Event(with_metaclass(ABCMeta, object)): # type: ignore[misc]
"""Test stream event to be emitted during execution of a TestStream."""
@abstractmethod
def __eq__(self, other):
raise NotImplementedError
@abstractmethod
def __hash__(self):
raise NotImplementedError
@abstractmethod
def __lt__(self, other):
raise NotImplementedError
def __ne__(self, other):
# TODO(BEAM-5949): Needed for Python 2 compatibility.
return not self == other
[docs] @abstractmethod
def to_runner_api(self, element_coder):
raise NotImplementedError
[docs] @staticmethod
def from_runner_api(proto, element_coder):
if proto.HasField('element_event'):
return ElementEvent(
[TimestampedValue(
element_coder.decode(tv.encoded_element),
timestamp.Timestamp(micros=1000 * tv.timestamp))
for tv in proto.element_event.elements])
elif proto.HasField('watermark_event'):
return WatermarkEvent(timestamp.Timestamp(
micros=1000 * proto.watermark_event.new_watermark))
elif proto.HasField('processing_time_event'):
return ProcessingTimeEvent(timestamp.Duration(
micros=1000 * proto.processing_time_event.advance_duration))
else:
raise ValueError(
'Unknown TestStream Event type: %s' % proto.WhichOneof('event'))
[docs]class ElementEvent(Event):
"""Element-producing test stream event."""
def __init__(self, timestamped_values, tag=None):
self.timestamped_values = timestamped_values
self.tag = tag
def __eq__(self, other):
return (self.timestamped_values == other.timestamped_values and
self.tag == other.tag)
def __hash__(self):
return hash(self.timestamped_values)
def __lt__(self, other):
return self.timestamped_values < other.timestamped_values
[docs] def to_runner_api(self, element_coder):
return beam_runner_api_pb2.TestStreamPayload.Event(
element_event=beam_runner_api_pb2.TestStreamPayload.Event.AddElements(
elements=[
beam_runner_api_pb2.TestStreamPayload.TimestampedElement(
encoded_element=element_coder.encode(tv.value),
timestamp=tv.timestamp.micros // 1000)
for tv in self.timestamped_values]))
[docs]class WatermarkEvent(Event):
"""Watermark-advancing test stream event."""
def __init__(self, new_watermark, tag=None):
self.new_watermark = timestamp.Timestamp.of(new_watermark)
self.tag = tag
def __eq__(self, other):
return self.new_watermark == other.new_watermark and self.tag == other.tag
def __hash__(self):
return hash(self.new_watermark)
def __lt__(self, other):
return self.new_watermark < other.new_watermark
[docs] def to_runner_api(self, unused_element_coder):
return beam_runner_api_pb2.TestStreamPayload.Event(
watermark_event
=beam_runner_api_pb2.TestStreamPayload.Event.AdvanceWatermark(
new_watermark=self.new_watermark.micros // 1000))
[docs]class ProcessingTimeEvent(Event):
"""Processing time-advancing test stream event."""
def __init__(self, advance_by):
self.advance_by = timestamp.Duration.of(advance_by)
def __eq__(self, other):
return self.advance_by == other.advance_by
def __hash__(self):
return hash(self.advance_by)
def __lt__(self, other):
return self.advance_by < other.advance_by
[docs] def to_runner_api(self, unused_element_coder):
return beam_runner_api_pb2.TestStreamPayload.Event(
processing_time_event
=beam_runner_api_pb2.TestStreamPayload.Event.AdvanceProcessingTime(
advance_duration=self.advance_by.micros // 1000))
[docs]class TestStream(PTransform):
"""Test stream that generates events on an unbounded PCollection of elements.
Each event emits elements, advances the watermark or advances the processing
time. After all of the specified elements are emitted, ceases to produce
output.
"""
def __init__(self, coder=coders.FastPrimitivesCoder(), events=None):
super(TestStream, self).__init__()
assert coder is not None
self.coder = coder
self.watermarks = {None: timestamp.MIN_TIMESTAMP}
self._events = [] if events is None else list(events)
self.output_tags = set()
[docs] def get_windowing(self, unused_inputs):
return core.Windowing(window.GlobalWindows())
def _infer_output_coder(self, input_type=None, input_coder=None):
return self.coder
[docs] def expand(self, pbegin):
assert isinstance(pbegin, pvalue.PBegin)
self.pipeline = pbegin.pipeline
return pvalue.PCollection(self.pipeline, is_bounded=False)
def _add(self, event):
if isinstance(event, ElementEvent):
for tv in event.timestamped_values:
assert tv.timestamp < timestamp.MAX_TIMESTAMP, (
'Element timestamp must be before timestamp.MAX_TIMESTAMP.')
elif isinstance(event, WatermarkEvent):
if event.tag not in self.watermarks:
self.watermarks[event.tag] = timestamp.MIN_TIMESTAMP
assert event.new_watermark > self.watermarks[event.tag], (
'Watermark must strictly-monotonically advance.')
self.watermarks[event.tag] = event.new_watermark
elif isinstance(event, ProcessingTimeEvent):
assert event.advance_by > 0, (
'Must advance processing time by positive amount.')
else:
raise ValueError('Unknown event: %s' % event)
self._events.append(event)
[docs] def add_elements(self, elements, tag=None, event_timestamp=None):
"""Add elements to the TestStream.
Elements added to the TestStream will be produced during pipeline execution.
These elements can be TimestampedValue, WindowedValue or raw unwrapped
elements that are serializable using the TestStream's specified Coder. When
a TimestampedValue or a WindowedValue element is used, the timestamp of the
TimestampedValue or WindowedValue will be the timestamp of the produced
element; otherwise, the current watermark timestamp will be used for that
element. The windows of a given WindowedValue are ignored by the
TestStream.
"""
self.output_tags.add(tag)
timestamped_values = []
if tag not in self.watermarks:
self.watermarks[tag] = timestamp.MIN_TIMESTAMP
for element in elements:
if isinstance(element, TimestampedValue):
timestamped_values.append(element)
elif isinstance(element, WindowedValue):
# Drop windows for elements in test stream.
timestamped_values.append(
TimestampedValue(element.value, element.timestamp))
else:
# Add elements with timestamp equal to current watermark.
if event_timestamp is None:
event_timestamp = self.watermarks[tag]
timestamped_values.append(TimestampedValue(element, event_timestamp))
self._add(ElementEvent(timestamped_values, tag))
return self
[docs] def advance_watermark_to(self, new_watermark, tag=None):
"""Advance the watermark to a given Unix timestamp.
The Unix timestamp value used must be later than the previous watermark
value and should be given as an int, float or utils.timestamp.Timestamp
object.
"""
self.output_tags.add(tag)
self._add(WatermarkEvent(new_watermark, tag))
return self
[docs] def advance_watermark_to_infinity(self, tag=None):
"""Advance the watermark to the end of time, completing this TestStream."""
self.advance_watermark_to(timestamp.MAX_TIMESTAMP, tag)
return self
[docs] def advance_processing_time(self, advance_by):
"""Advance the current processing time by a given duration in seconds.
The duration must be a positive second duration and should be given as an
int, float or utils.timestamp.Duration object.
"""
self._add(ProcessingTimeEvent(advance_by))
return self
[docs] def to_runner_api_parameter(self, context):
return (
common_urns.primitives.TEST_STREAM.urn,
beam_runner_api_pb2.TestStreamPayload(
coder_id=context.coders.get_id(self.coder),
events=[e.to_runner_api(self.coder) for e in self._events]))
[docs] @PTransform.register_urn(
common_urns.primitives.TEST_STREAM.urn,
beam_runner_api_pb2.TestStreamPayload)
def from_runner_api_parameter(payload, context):
coder = context.coders.get_by_id(payload.coder_id)
return TestStream(
coder=coder,
events=[Event.from_runner_api(e, coder) for e in payload.events])