def _test_streaming(self, with_attributes):
"""Runs IT pipeline with message verifier.
Args:
with_attributes: False - Reads and writes message data only.
True - Reads and writes message data and attributes. Also verifies
id_label and timestamp_attribute features.
"""
# Set on_success_matcher to verify pipeline state and pubsub output. These
# verifications run on a (remote) worker.
# Expect the state to be RUNNING since a streaming pipeline is usually
# never DONE. The test runner will cancel the pipeline after verification.
state_verifier = PipelineStateMatcher(PipelineState.RUNNING)
expected_messages = self.EXPECTED_OUTPUT_MESSAGES[self.runner_name]
if not with_attributes:
expected_messages = [
pubsub_msg.data.decode('utf-8')
for pubsub_msg in expected_messages
]
if self.runner_name == 'TestDirectRunner':
strip_attributes = None
else:
strip_attributes = [self.ID_LABEL, self.TIMESTAMP_ATTRIBUTE]
pubsub_msg_verifier = PubSubMessageMatcher(
self.project,
self.output_sub.name,
expected_messages,
timeout=MESSAGE_MATCHER_TIMEOUT_S,
with_attributes=with_attributes,
strip_attributes=strip_attributes)
extra_opts = {
'input_subscription': self.input_sub.name,
'output_topic': self.output_topic.name,
'wait_until_finish_duration': TEST_PIPELINE_DURATION_MS,
'on_success_matcher': all_of(state_verifier, pubsub_msg_verifier)
}
# Generate input data and inject to PubSub.
for msg in self.INPUT_MESSAGES[self.runner_name]:
self.pub_client.publish(self.input_topic.name, msg.data,
**msg.attributes)
# Get pipeline options from command argument: --test-pipeline-options,
# and start pipeline job by calling pipeline main function.
pubsub_it_pipeline.run_pipeline(
argv=self.test_pipeline.get_full_options_as_args(**extra_opts),
with_attributes=with_attributes,
id_label=self.ID_LABEL,
timestamp_attribute=self.TIMESTAMP_ATTRIBUTE)
def _test_streaming(self, with_attributes):
"""Runs IT pipeline with message verifier.
Args:
with_attributes: False - Reads and writes message data only.
True - Reads and writes message data and attributes. Also verifies
id_label and timestamp_attribute features.
"""
# Set on_success_matcher to verify pipeline state and pubsub output. These
# verifications run on a (remote) worker.
# Expect the state to be RUNNING since a streaming pipeline is usually
# never DONE. The test runner will cancel the pipeline after verification.
state_verifier = PipelineStateMatcher(PipelineState.RUNNING)
expected_messages = self.EXPECTED_OUTPUT_MESSAGES[self.runner_name]
if not with_attributes:
expected_messages = [pubsub_msg.data.decode('utf-8')
for pubsub_msg in expected_messages]
if self.runner_name == 'TestDirectRunner':
strip_attributes = None
else:
strip_attributes = [self.ID_LABEL, self.TIMESTAMP_ATTRIBUTE]
pubsub_msg_verifier = PubSubMessageMatcher(
self.project,
self.output_sub.name,
expected_messages,
timeout=MESSAGE_MATCHER_TIMEOUT_S,
with_attributes=with_attributes,
strip_attributes=strip_attributes)
extra_opts = {'input_subscription': self.input_sub.name,
'output_topic': self.output_topic.name,
'wait_until_finish_duration': TEST_PIPELINE_DURATION_MS,
'on_success_matcher': all_of(state_verifier,
pubsub_msg_verifier)}
# Generate input data and inject to PubSub.
for msg in self.INPUT_MESSAGES[self.runner_name]:
self.pub_client.publish(self.input_topic.name, msg.data, **msg.attributes)
# Get pipeline options from command argument: --test-pipeline-options,
# and start pipeline job by calling pipeline main function.
pubsub_it_pipeline.run_pipeline(
argv=self.test_pipeline.get_full_options_as_args(**extra_opts),
with_attributes=with_attributes,
id_label=self.ID_LABEL,
timestamp_attribute=self.TIMESTAMP_ATTRIBUTE)
def _test_streaming(self, with_attributes):
"""Runs IT pipeline with message verifier.
Args:
with_attributes: False - Reads and writes message data only.
True - Reads and writes message data and attributes. Also verifies
id_label and timestamp_attribute features.
"""
# Build expected dataset.
# Set extra options to the pipeline for test purpose
state_verifier = PipelineStateMatcher(PipelineState.RUNNING)
expected_messages = self.EXPECTED_OUTPUT_MESSAGES
if not with_attributes:
expected_messages = [
pubsub_msg.data for pubsub_msg in expected_messages
]
pubsub_msg_verifier = PubSubMessageMatcher(
self.project,
OUTPUT_SUB + self.uuid,
expected_messages,
timeout=MESSAGE_MATCHER_TIMEOUT_S,
with_attributes=with_attributes,
strip_attributes=[self.ID_LABEL, self.TIMESTAMP_ATTRIBUTE])
extra_opts = {
'input_subscription': self.input_sub.full_name,
'output_topic': self.output_topic.full_name,
'wait_until_finish_duration': TEST_PIPELINE_DURATION_MS,
'on_success_matcher': all_of(state_verifier, pubsub_msg_verifier)
}
# Generate input data and inject to PubSub.
test_utils.wait_for_subscriptions_created([self.input_sub])
for msg in self.INPUT_MESSAGES:
self.input_topic.publish(msg.data, **msg.attributes)
# Get pipeline options from command argument: --test-pipeline-options,
# and start pipeline job by calling pipeline main function.
pubsub_it_pipeline.run_pipeline(
argv=self.test_pipeline.get_full_options_as_args(**extra_opts),
with_attributes=with_attributes,
id_label=self.ID_LABEL,
timestamp_attribute=self.TIMESTAMP_ATTRIBUTE)
def _test_streaming(self, with_attributes):
"""Runs IT pipeline with message verifier.
Args:
with_attributes: False - Reads and writes message data only.
True - Reads and writes message data and attributes. Also verifies
id_label and timestamp_attribute features.
"""
# Build expected dataset.
# Set extra options to the pipeline for test purpose
state_verifier = PipelineStateMatcher(PipelineState.RUNNING)
expected_messages = self.EXPECTED_OUTPUT_MESSAGES
if not with_attributes:
expected_messages = [pubsub_msg.data for pubsub_msg in expected_messages]
pubsub_msg_verifier = PubSubMessageMatcher(
self.project,
OUTPUT_SUB + self.uuid,
expected_messages,
timeout=MESSAGE_MATCHER_TIMEOUT_S,
with_attributes=with_attributes,
strip_attributes=[self.ID_LABEL, self.TIMESTAMP_ATTRIBUTE])
extra_opts = {'input_subscription': self.input_sub.full_name,
'output_topic': self.output_topic.full_name,
'wait_until_finish_duration': TEST_PIPELINE_DURATION_MS,
'on_success_matcher': all_of(state_verifier,
pubsub_msg_verifier)}
# Generate input data and inject to PubSub.
test_utils.wait_for_subscriptions_created([self.input_sub])
for msg in self.INPUT_MESSAGES:
self.input_topic.publish(msg.data, **msg.attributes)
# Get pipeline options from command argument: --test-pipeline-options,
# and start pipeline job by calling pipeline main function.
pubsub_it_pipeline.run_pipeline(
argv=self.test_pipeline.get_full_options_as_args(**extra_opts),
with_attributes=with_attributes,
id_label=self.ID_LABEL,
timestamp_attribute=self.TIMESTAMP_ATTRIBUTE)
