def test_ecs_run_launcher_inits():
DagsterInstance.local_temp(
overrides={
"run_launcher": {
"module": "dagster_aws.ecs.launcher",
"class": "ECSRunLauncher"
}
})
def test_yielded_results_config():
run_config = {
'resources': {
'ge_data_context': {
'config': {
'ge_root_dir':
file_relative_path(__file__, "./great_expectations")
}
}
}
}
result = execute_pipeline(
reconstructable(hello_world_pipeline),
run_config=run_config,
mode='basic',
instance=DagsterInstance.local_temp(),
)
assert result.result_for_solid(
"reyielder").output_value()[0]["success_percent"] == 100
expectations = result.result_for_solid(
"ge_validation_solid").expectation_results_during_compute
assert len(expectations) == 1
mainexpect = expectations[0]
assert mainexpect.success
metadata = mainexpect.metadata_entries[0].entry_data.data
assert metadata['overall'] == {
'evaluated_expectations': 11,
'success_percent': 100.0,
'successful_expectations': 11,
'unsuccessful_expectations': 0,
}
def temp_instance():
with seven.TemporaryDirectory() as temp_dir:
instance = DagsterInstance.local_temp(temp_dir)
try:
yield instance
finally:
instance.run_launcher.join()
def test_multiprocess_executor():
result = execute_pipeline(
run_config={
# This section controls how the run will be executed.
# The multiprocess executor runs each step in its own sub process.
"execution": {
"multiprocess": {}
},
# This section controls how values will be passed from one solid to the next.
# The default is in memory, so here we set it to filesystem to allow the
# separate subprocess to get the values
"intermediate_storage": {
"filesystem": {}
},
},
# The default instance for this API is an in memory ephemeral one.
# To allow the multiple processes to coordinate we use one here
# backed by a temporary directory.
instance=DagsterInstance.local_temp(),
# A ReconstructablePipeline is necessary to load the pipeline in child processes.
# reconstructable() is a utility function that captures where the
# PipelineDefinition came from.
pipeline=reconstructable(predict_color),
)
assert result.success
def test_pipeline_run_creation_race():
with seven.TemporaryDirectory() as tempdir:
instance = DagsterInstance.local_temp(tempdir)
run_id = 'run_id'
# Spy on the result of add_run
add_run_spy = Spy(instance._run_storage.add_run) # pylint: disable=protected-access
add_run_mock = mock.MagicMock(side_effect=add_run_spy)
instance._run_storage.add_run = add_run_mock # pylint: disable=protected-access
# This invocation should successfully add the run to run storage
pipeline_run = register_managed_run_for_test(instance, run_id=run_id)
assert len(add_run_mock.call_args_list) == 1
assert instance.has_run(run_id)
# Check that add_run did not receive DagsterRunAlreadyExists exception and that
# it successfully returned
assert add_run_spy.exceptions == []
assert len(add_run_spy.return_values) == 1
# (*) Simulate a race where second invocation receives has_run() is False
fetched_pipeline_run = ''
with mock.patch.object(instance, 'has_run', mock.MagicMock(return_value=False)):
fetched_pipeline_run = register_managed_run_for_test(instance, run_id=run_id)
# Check that add_run received DagsterRunAlreadyExists exception and did not return value
assert len(add_run_mock.call_args_list) == 2
assert add_run_spy.exceptions == [DagsterRunAlreadyExists]
assert len(add_run_spy.return_values) == 1
assert pipeline_run == fetched_pipeline_run
assert instance.has_run(run_id)
assert len(instance.get_runs()) == 1
def test_multiple_local_cluster():
cluster_configs = [
{
"n_workers": 1,
"threads_per_worker": 2,
"dashboard_address": None,
},
{
"n_workers": 2,
"threads_per_worker": 1,
"dashboard_address": None,
},
]
for cluster_config in cluster_configs:
run_config = {
"resources": {
"dask": {
"config": {
"cluster": {
"local": cluster_config
}
}
}
}
}
result = execute_pipeline(
scheduler_info_pipeline,
run_config=run_config,
instance=DagsterInstance.local_temp(),
)
_assert_scheduler_info_result(result, cluster_config)
def test_execute_pipeline_iterator():
records = []
def event_callback(record):
assert isinstance(record, EventRecord)
records.append(record)
pipeline = PipelineDefinition(
name='basic_resource_pipeline',
solid_defs=[resource_solid],
mode_defs=[
ModeDefinition(
resource_defs={'a': resource_a, 'b': resource_b},
logger_defs={'callback': construct_event_logger(event_callback)},
)
],
)
iterator = execute_pipeline_iterator(
pipeline,
environment_dict={'loggers': {'callback': {}}},
instance=DagsterInstance.local_temp(),
)
event_type = None
while event_type != 'STEP_START':
event = next(iterator)
event_type = event.event_type_value
iterator.close()
events = [record.dagster_event for record in records if record.is_dagster_event]
messages = [record.user_message for record in records if not record.is_dagster_event]
assert len([event for event in events if event.is_pipeline_failure]) > 0
assert len([message for message in messages if message == 'CLEANING A']) > 0
assert len([message for message in messages if message == 'CLEANING B']) > 0
def test_multiple_outputs_only_emit_one_multiproc():
pipe = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'define_multi_out'
).build_pipeline_definition()
result = execute_pipeline(
pipe,
environment_dict={'storage': {'filesystem': {}}, 'execution': {'multiprocess': {}}},
instance=DagsterInstance.local_temp(),
)
assert result.success
solid_result = result.result_for_solid('multiple_outputs')
assert set(solid_result.output_values.keys()) == set(['output_one'])
with pytest.raises(
DagsterInvariantViolationError,
match="Output 'not_defined' not defined in solid 'multiple_outputs'",
):
solid_result.output_value('not_defined')
with pytest.raises(DagsterInvariantViolationError, match='Did not find result output_two'):
solid_result.output_value('output_two')
with pytest.raises(
DagsterInvariantViolationError,
match=(
'Tried to get result for solid not_present in multiple_outputs_only_emit_one_pipeline. '
'No such top level solid.'
),
):
result.result_for_solid('not_present')
assert result.result_for_solid('downstream_two').skipped
def test_sync_run_launcher_run():
with seven.TemporaryDirectory() as temp_dir:
instance = DagsterInstance.local_temp(
temp_dir,
overrides={
"run_launcher": {
"module":
"dagster.core.launcher.sync_in_memory_run_launcher",
"class": "SyncInMemoryRunLauncher",
}
},
)
external_repo = get_main_external_repo(instance)
external_pipeline = external_repo.get_full_external_pipeline(
"noop_pipeline")
run = create_run_for_test(instance=instance,
pipeline_name=external_pipeline.name)
run = instance.run_launcher.launch_run(
instance=instance, run=run, external_pipeline=external_pipeline)
completed_run = instance.get_run_by_id(run.run_id)
assert completed_run.is_success
def test_multiproc_markers():
pipe = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'define_pipeline'
).build_pipeline_definition()
instance = DagsterInstance.local_temp()
result = execute_pipeline(
pipe,
instance=instance,
environment_dict={'execution': {'multiprocess': {}}, 'storage': {'filesystem': {}}},
)
assert result.success
events = instance.all_logs(result.run_id)
start_markers = {}
end_markers = {}
for event in events:
dagster_event = event.dagster_event
if dagster_event.is_engine_event:
if dagster_event.engine_event_data.marker_start:
key = '{step}.{marker}'.format(
step=event.step_key, marker=dagster_event.engine_event_data.marker_start
)
start_markers[key] = event.timestamp
if dagster_event.engine_event_data.marker_end:
key = '{step}.{marker}'.format(
step=event.step_key, marker=dagster_event.engine_event_data.marker_end
)
end_markers[key] = event.timestamp
seen = set()
assert set(start_markers.keys()) == set(end_markers.keys())
for key in end_markers:
assert end_markers[key] - start_markers[key] > 0
seen.add(key)
assert 'ping.compute.multiprocess_subprocess_init' in end_markers
def test_yielded_results_config_pandas(snapshot):
run_config = {
"resources": {
"ge_data_context": {
"config": {
"ge_root_dir":
file_relative_path(__file__, "./great_expectations")
}
}
}
}
result = execute_pipeline(
reconstructable(hello_world_pandas_pipeline),
run_config=run_config,
mode="basic",
instance=DagsterInstance.local_temp(),
)
assert result.result_for_solid(
"reyielder").output_value()[0]["success_percent"] == 100
expectations = result.result_for_solid(
"ge_validation_solid").expectation_results_during_compute
assert len(expectations) == 1
mainexpect = expectations[0]
assert mainexpect.success
# purge system specific metadata for testing
metadata = mainexpect.metadata_entries[0].entry_data.md_str.split(
"### Info")[0]
snapshot.assert_match(metadata)
def test_execute_celery_docker():
docker_image = test_project_docker_image()
docker_config = {
"image": docker_image,
"env_vars": ["AWS_ACCESS_KEY_ID", "AWS_SECRET_ACCESS_KEY"],
}
if IS_BUILDKITE:
ecr_client = boto3.client("ecr", region_name="us-west-1")
token = ecr_client.get_authorization_token()
username, password = (base64.b64decode(
token["authorizationData"][0]
["authorizationToken"]).decode().split(":"))
registry = token["authorizationData"][0]["proxyEndpoint"]
docker_config["registry"] = {
"url": registry,
"username": username,
"password": password,
}
else:
try:
client = docker.from_env()
client.images.get(docker_image)
print( # pylint: disable=print-call
"Found existing image tagged {image}, skipping image build. To rebuild, first run: "
"docker rmi {image}".format(image=docker_image))
except docker.errors.ImageNotFound:
build_and_tag_test_image(docker_image)
with seven.TemporaryDirectory() as temp_dir:
run_config = merge_dicts(
merge_yamls([
os.path.join(test_project_environments_path(), "env.yaml"),
os.path.join(test_project_environments_path(), "env_s3.yaml"),
]),
{
"execution": {
"celery-docker": {
"config": {
"docker": docker_config,
"config_source": {
"task_always_eager": True
},
}
}
},
},
)
result = execute_pipeline(
get_test_project_recon_pipeline("docker_celery_pipeline"),
run_config=run_config,
instance=DagsterInstance.local_temp(temp_dir),
)
assert result.success
def test_execute_celery_docker():
docker_image = test_project_docker_image()
docker_config = {
'image': docker_image,
'env_vars': ['AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY'],
}
if IS_BUILDKITE:
ecr_client = boto3.client('ecr', region_name='us-west-1')
token = ecr_client.get_authorization_token()
username, password = (base64.b64decode(
token['authorizationData'][0]
['authorizationToken']).decode().split(':'))
registry = token['authorizationData'][0]['proxyEndpoint']
docker_config['registry'] = {
'url': registry,
'username': username,
'password': password,
}
else:
try:
client = docker.from_env()
client.images.get(docker_image)
print( # pylint: disable=print-call
'Found existing image tagged {image}, skipping image build. To rebuild, first run: '
'docker rmi {image}'.format(image=docker_image))
except docker.errors.ImageNotFound:
build_and_tag_test_image(docker_image)
with seven.TemporaryDirectory() as temp_dir:
run_config = merge_dicts(
merge_yamls([
os.path.join(test_project_environments_path(), 'env.yaml'),
os.path.join(test_project_environments_path(), 'env_s3.yaml'),
]),
{
'execution': {
'celery-docker': {
'config': {
'docker': docker_config,
'config_source': {
'task_always_eager': True
},
}
}
},
},
)
result = execute_pipeline(
get_test_project_recon_pipeline('docker_celery_pipeline'),
run_config=run_config,
instance=DagsterInstance.local_temp(temp_dir),
)
assert result.success
def test_execute_plan_iterator():
records = []
def event_callback(record):
assert isinstance(record, EventRecord)
records.append(record)
instance = DagsterInstance.local_temp()
pipeline = PipelineDefinition(
name='basic_resource_pipeline',
solid_defs=[resource_solid],
mode_defs=[
ModeDefinition(
resource_defs={
'a': resource_a,
'b': resource_b
},
logger_defs={
'callback': construct_event_logger(event_callback)
},
)
],
)
environment_dict = {'loggers': {'callback': {}}}
pipeline_run = instance.create_run(
PipelineRun(
pipeline_name=pipeline.name,
run_id=make_new_run_id(),
environment_dict={'loggers': {
'callback': {}
}},
mode='default',
status=PipelineRunStatus.NOT_STARTED,
))
execution_plan = create_execution_plan(pipeline, environment_dict)
iterator = execute_plan_iterator(execution_plan,
pipeline_run,
instance,
environment_dict=environment_dict)
event_type = None
while event_type != 'STEP_START':
event = next(iterator)
event_type = event.event_type_value
iterator.close()
messages = [
record.user_message for record in records
if not record.is_dagster_event
]
assert len([message
for message in messages if message == 'CLEANING A']) > 0
assert len([message
for message in messages if message == 'CLEANING B']) > 0
def test_execute_plan_iterator():
records = []
def event_callback(record):
assert isinstance(record, EventRecord)
records.append(record)
instance = DagsterInstance.local_temp()
pipeline = PipelineDefinition(
name='basic_resource_pipeline',
solid_defs=[resource_solid],
mode_defs=[
ModeDefinition(
resource_defs={
'a': resource_a,
'b': resource_b
},
logger_defs={
'callback': construct_event_logger(event_callback)
},
)
],
)
run_config = {'loggers': {'callback': {}}}
execution_plan = create_execution_plan(pipeline, run_config=run_config)
pipeline_run = instance.create_run_for_pipeline(
pipeline_def=pipeline,
run_config={'loggers': {
'callback': {}
}},
execution_plan=execution_plan,
)
iterator = execute_plan_iterator(execution_plan,
pipeline_run,
instance,
run_config=run_config)
event_type = None
while event_type != 'STEP_START':
event = next(iterator)
event_type = event.event_type_value
iterator.close()
messages = [
record.user_message for record in records
if not record.is_dagster_event
]
assert len([message
for message in messages if message == 'CLEANING A']) > 0
assert len([message
for message in messages if message == 'CLEANING B']) > 0
def test_execute_run_iterator():
records = []
def event_callback(record):
assert isinstance(record, EventRecord)
records.append(record)
instance = DagsterInstance.local_temp()
pipeline_def = PipelineDefinition(
name="basic_resource_pipeline",
solid_defs=[resource_solid],
mode_defs=[
ModeDefinition(
resource_defs={
"a": resource_a,
"b": resource_b
},
logger_defs={
"callback": construct_event_logger(event_callback)
},
)
],
)
pipeline_run = instance.create_run_for_pipeline(
pipeline_def=pipeline_def,
run_config={"loggers": {
"callback": {}
}},
mode="default",
)
iterator = execute_run_iterator(InMemoryExecutablePipeline(pipeline_def),
pipeline_run,
instance=instance)
event_type = None
while event_type != "STEP_START":
event = next(iterator)
event_type = event.event_type_value
iterator.close()
events = [
record.dagster_event for record in records if record.is_dagster_event
]
messages = [
record.user_message for record in records
if not record.is_dagster_event
]
assert len([event for event in events if event.is_pipeline_failure]) > 0
assert len([message
for message in messages if message == "CLEANING A"]) > 0
assert len([message
for message in messages if message == "CLEANING B"]) > 0
def test_dask_pipeline():
run_config = load_yaml_from_globs(
file_relative_path(__file__, "../../docs_snippets/deploying/dask_hello_world.yaml")
)
result = execute_pipeline(
reconstructable(dask_pipeline),
run_config=run_config,
instance=DagsterInstance.local_temp(),
)
assert result.success
assert result.result_for_solid("hello_world").output_value() == "Hello, World!"
def test_execute_pipeline_iterator():
records = []
def event_callback(record):
assert isinstance(record, EventRecord)
records.append(record)
pipeline = PipelineDefinition(
name="basic_resource_pipeline",
solid_defs=[resource_solid],
mode_defs=[
ModeDefinition(
resource_defs={
"a": resource_a,
"b": resource_b
},
logger_defs={
"callback": construct_event_logger(event_callback)
},
)
],
)
iterator = execute_pipeline_iterator(
pipeline,
run_config={"loggers": {
"callback": {}
}},
instance=DagsterInstance.local_temp(),
)
event_type = None
while event_type != "STEP_START":
event = next(iterator)
event_type = event.event_type_value
iterator.close()
events = [
record.dagster_event for record in records if record.is_dagster_event
]
messages = [
record.user_message for record in records
if not record.is_dagster_event
]
pipeline_failure_events = [
event for event in events if event.is_pipeline_failure
]
assert len(pipeline_failure_events) == 1
assert "GeneratorExit" in pipeline_failure_events[
0].pipeline_failure_data.error.message
assert len([message
for message in messages if message == "CLEANING A"]) > 0
assert len([message
for message in messages if message == "CLEANING B"]) > 0
def test_pipeline(pg_hostname, postgres): # pylint: disable=unused-argument
reconstructable_pipeline = ReconstructablePipeline.for_module(
"dbt_example", "dbt_example_pipeline")
assert set([
solid.name
for solid in reconstructable_pipeline.get_definition().solids
]) == {
"download_file",
"load_cereals_from_csv",
"run_cereals_models",
"test_cereals_models",
"analyze_cereals",
"post_plot_to_slack",
}
with TemporaryDirectory() as tempdir:
res = execute_pipeline(
ReconstructablePipeline.for_module("dbt_example",
"dbt_example_pipeline"),
instance=DagsterInstance.local_temp(tempdir=tempdir),
mode="dev",
run_config={
"solids": {
"download_file": {
"config": {
"url": CEREALS_DATASET_URL,
"target_path": "cereals.csv",
}
},
"post_plot_to_slack": {
"config": {
"channels": ["foo_channel"]
}
},
},
"resources": {
"db": {
"config": {
"db_url":
(f"postgresql://*****:*****@{pg_hostname}"
":5432/dbt_example")
}
},
"slack": {
"config": {
"token": "nonce"
}
},
},
},
raise_on_error=False,
)
assert res.success
def test_pipeline_tags():
dag = get_dag()
instance = DagsterInstance.local_temp()
manager = instance.compute_log_manager
# When mode is default and tags are set, run with tags
result = execute_pipeline(
pipeline=make_dagster_pipeline_from_airflow_dag(
dag, {AIRFLOW_EXECUTION_DATE_STR: EXECUTION_DATE_MINUS_WEEK_FMT}),
instance=instance,
)
check_compute_logs(manager, result, EXECUTION_DATE_MINUS_WEEK_FMT)
def test_pipelines_success(file_path, run_config_path):
with pushd(
file_relative_path(__file__,
'../../../docs_snippets/legacy/data_science/')):
instance = DagsterInstance.local_temp()
run_config = load_yaml_from_path(
run_config_path) if run_config_path else None
recon_pipeline = ReconstructablePipeline.for_file(
file_path, 'iris_pipeline')
pipeline_result = execute_pipeline(recon_pipeline,
run_config=run_config,
instance=instance)
assert pipeline_result.success
def test_sync_run_launcher_from_configurable_class():
with seven.TemporaryDirectory() as temp_dir:
instance_no_hijack = DagsterInstance.local_temp(
temp_dir,
overrides={
"run_launcher": {
"module":
"dagster.core.launcher.sync_in_memory_run_launcher",
"class": "SyncInMemoryRunLauncher",
}
},
)
assert isinstance(instance_no_hijack.run_launcher,
SyncInMemoryRunLauncher)
def test_priorities_mp():
pipe = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'priority_test'
).build_pipeline_definition()
result = execute_pipeline(
pipe,
{
'execution': {'multiprocess': {'config': {'max_concurrent': 1}}},
'storage': {'filesystem': {}},
},
instance=DagsterInstance.local_temp(),
)
assert result.success
assert [
str(event.solid_handle) for event in result.step_event_list if event.is_step_success
] == ['high', 'high_2', 'none', 'none_2', 'low', 'low_2']
def test_pipelines_success(file_path, run_config_path):
with pushd(
file_relative_path(__file__,
"../../../docs_snippets/legacy/data_science/")):
instance = DagsterInstance.local_temp()
run_config = load_yaml_from_path(
run_config_path) if run_config_path else None
recon_pipeline = ReconstructablePipeline.for_file(
file_path, "iris_pipeline")
pipeline_result = execute_pipeline(
recon_pipeline,
run_config=run_config,
instance=instance,
solid_selection=["k_means_iris"], # skip download_file in tests
)
assert pipeline_result.success
def test_yielded_results_config():
run_config = {
"resources": {
"ge_data_context": {
"config": {"ge_root_dir": file_relative_path(__file__, "./great_expectations")}
}
}
}
result = execute_pipeline(
reconstructable(hello_world_pipeline),
run_config=run_config,
mode="basic",
instance=DagsterInstance.local_temp(),
)
assert result.result_for_solid("reyielder").output_value()[0]["success_percent"] == 100
expectations = result.result_for_solid("ge_validation_solid").expectation_results_during_compute
assert len(expectations) == 1
mainexpect = expectations[0]
assert mainexpect.success
def test_execute_run_bad_state():
records = []
def event_callback(record):
assert isinstance(record, EventRecord)
records.append(record)
instance = DagsterInstance.local_temp()
pipeline_def = PipelineDefinition(
name="basic_resource_pipeline",
solid_defs=[resource_solid],
mode_defs=[
ModeDefinition(
resource_defs={
"a": resource_a,
"b": resource_b
},
logger_defs={
"callback": construct_event_logger(event_callback)
},
)
],
)
pipeline_run = instance.create_run_for_pipeline(
pipeline_def=pipeline_def,
run_config={
"loggers": {
"callback": {}
}
},
mode="default",
).with_status(PipelineRunStatus.SUCCESS)
with pytest.raises(
check.CheckError,
match=r"Pipeline run basic_resource_pipeline \({}\) in state"
r" PipelineRunStatus.SUCCESS, expected PipelineRunStatus.NOT_STARTED"
.format(pipeline_run.run_id),
):
execute_run(InMemoryPipeline(pipeline_def),
pipeline_run,
instance=instance)
def execute_multiprocessing():
from dagster import reconstructable, DagsterInstance
execute_pipeline(
# A ReconstructablePipeline is necessary to load the pipeline in child processes.
# reconstructable() is a utility function that captures where the
# PipelineDefinition came from.
reconstructable(parallel_pipeline),
run_config={
# This section controls how the run will be executed.
# The multiprocess executor runs each solid in its own sub process.
"execution": {
"multiprocess": {}
},
},
# The default instance for this API is an in memory ephemeral one.
# To allow the multiple processes to coordinate we use one here
# backed by a temporary directory.
instance=DagsterInstance.local_temp(),
)
def test_multiple_outputs_only_emit_one_multiproc():
pipe = reconstructable(define_multi_out)
result = execute_pipeline(
pipe,
run_config={
"storage": {
"filesystem": {}
},
"execution": {
"multiprocess": {}
}
},
instance=DagsterInstance.local_temp(),
)
assert result.success
solid_result = result.result_for_solid("multiple_outputs")
assert set(solid_result.output_values.keys()) == set(["output_one"])
with pytest.raises(
DagsterInvariantViolationError,
match=
"Output 'not_defined' not defined in solid 'multiple_outputs'",
):
solid_result.output_value("not_defined")
with pytest.raises(DagsterInvariantViolationError,
match="Did not find result output_two"):
solid_result.output_value("output_two")
with pytest.raises(
DagsterInvariantViolationError,
match=re.escape(
"Tried to get result for solid 'not_present' in "
"'multiple_outputs_only_emit_one_pipeline'. No such top level solid."
),
):
result.result_for_solid("not_present")
assert result.result_for_solid("downstream_two").skipped
def test_multiple_outputs_only_emit_one_multiproc():
pipe = reconstructable(define_multi_out)
result = execute_pipeline(
pipe,
environment_dict={
'storage': {
'filesystem': {}
},
'execution': {
'multiprocess': {}
}
},
instance=DagsterInstance.local_temp(),
)
assert result.success
solid_result = result.result_for_solid('multiple_outputs')
assert set(solid_result.output_values.keys()) == set(['output_one'])
with pytest.raises(
DagsterInvariantViolationError,
match=
"Output 'not_defined' not defined in solid 'multiple_outputs'",
):
solid_result.output_value('not_defined')
with pytest.raises(DagsterInvariantViolationError,
match='Did not find result output_two'):
solid_result.output_value('output_two')
with pytest.raises(
DagsterInvariantViolationError,
match=re.escape(
'Tried to get result for solid \'not_present\' in '
'\'multiple_outputs_only_emit_one_pipeline\'. No such top level solid.'
),
):
result.result_for_solid('not_present')
assert result.result_for_solid('downstream_two').skipped
def test_multiproc_markers():
instance = DagsterInstance.local_temp()
result = execute_pipeline(
reconstructable(define_pipeline),
instance=instance,
run_config={
"execution": {
"multiprocess": {}
},
"storage": {
"filesystem": {}
}
},
)
assert result.success
events = instance.all_logs(result.run_id)
start_markers = {}
end_markers = {}
for event in events:
dagster_event = event.dagster_event
if dagster_event.is_engine_event:
if dagster_event.engine_event_data.marker_start:
key = "{step}.{marker}".format(
step=event.step_key,
marker=dagster_event.engine_event_data.marker_start)
start_markers[key] = event.timestamp
if dagster_event.engine_event_data.marker_end:
key = "{step}.{marker}".format(
step=event.step_key,
marker=dagster_event.engine_event_data.marker_end)
end_markers[key] = event.timestamp
seen = set()
assert set(start_markers.keys()) == set(end_markers.keys())
for key in end_markers:
assert end_markers[key] - start_markers[key] > 0
seen.add(key)
assert "ping.compute.multiprocess_subprocess_init" in end_markers
