def test_running():
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_fn(define_passing_pipeline)
pipeline = define_passing_pipeline()
env_config = {
'solids': {'sum_solid': {'inputs': {'num': script_relative_path('data/num.csv')}}}
}
selector = ExecutionSelector('csv_hello_world')
pipeline_run = InMemoryPipelineRun(
run_id,
selector,
env_config,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
)
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(handle, pipeline, pipeline_run, raise_on_error=False)
execution_manager.join()
assert pipeline_run.status == PipelineRunStatus.SUCCESS
events = pipeline_run.all_logs()
assert events
process_start_events = get_events_of_type(events, DagsterEventType.PIPELINE_PROCESS_START)
assert len(process_start_events) == 1
process_started_events = get_events_of_type(events, DagsterEventType.PIPELINE_PROCESS_STARTED)
assert len(process_started_events) == 1
def test_failing():
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'failing_pipeline')
env_config = {
'solids': {
'sum_solid': {
'inputs': {
'num': script_relative_path('data/num.csv')
}
}
}
}
selector = ExecutionSelector('csv_hello_world')
run_storage = InMemoryRunStorage()
pipeline_run = run_storage.create_run(
run_storage=run_storage,
pipeline_name=failing_pipeline.name,
run_id=run_id,
selector=selector,
env_config=env_config,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
)
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(handle,
failing_pipeline,
pipeline_run,
raise_on_error=False)
execution_manager.join()
assert pipeline_run.status == PipelineRunStatus.FAILURE
assert pipeline_run.all_logs()
def test_execution_crash():
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_fn(define_crashy_pipeline)
pipeline = define_crashy_pipeline()
env_config = {
'solids': {'sum_solid': {'inputs': {'num': script_relative_path('data/num.csv')}}}
}
selector = ExecutionSelector('csv_hello_world')
pipeline_run = InMemoryPipelineRun(
run_id,
selector,
env_config,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
)
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(handle, pipeline, pipeline_run, raise_on_error=False)
execution_manager.join()
assert pipeline_run.status == PipelineRunStatus.FAILURE
last_log = pipeline_run.all_logs()[-1]
print(last_log.message)
assert last_log.message.startswith(
'Exception: Pipeline execution process for {run_id} unexpectedly exited\n'.format(
run_id=run_id
)
)
def test_failing():
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_fn(define_failing_pipeline)
pipeline = define_failing_pipeline()
env_config = {
'solids': {
'sum_solid': {
'inputs': {
'num': script_relative_path('data/num.csv')
}
}
}
}
selector = ExecutionSelector('csv_hello_world')
pipeline_run = InMemoryPipelineRun(
run_id,
selector,
env_config,
mode='default',
execution_plan=create_execution_plan(pipeline, env_config),
reexecution_config=None,
step_keys_to_execute=None,
)
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(handle,
pipeline,
pipeline_run,
raise_on_error=False)
execution_manager.join()
assert pipeline_run.status == PipelineRunStatus.FAILURE
assert pipeline_run.all_logs()
def test_multiprocessing_execution_for_composite_solid_with_config_mapping():
environment_dict = {
'solids': {
'composite_with_nested_config_solid_and_config_mapping': {
'config': {'foo': 'baz', 'bar': 3}
}
}
}
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'composite_pipeline_with_config_mapping'
)
pipeline_run = InMemoryPipelineRun(
run_id,
ExecutionSelector('nonce'),
environment_dict,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
)
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(
handle, composite_pipeline_with_config_mapping, pipeline_run, raise_on_error=False
)
execution_manager.join()
assert pipeline_run.status == PipelineRunStatus.SUCCESS
environment_dict = {
'solids': {
'composite_with_nested_config_solid_and_config_mapping': {
'config': {'foo': 'baz', 'bar': 3}
}
},
'execution': {'multiprocess': {}},
'storage': {'filesystem': {}},
}
run_id = make_new_run_id()
pipeline_run = InMemoryPipelineRun(
run_id,
ExecutionSelector('nonce'),
environment_dict,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
)
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(
handle, composite_pipeline, pipeline_run, raise_on_error=False
)
execution_manager.join()
assert pipeline_run.status == PipelineRunStatus.SUCCESS
def test_running():
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'passing_pipeline')
environment_dict = {
'solids': {
'sum_solid': {
'inputs': {
'num': script_relative_path('data/num.csv')
}
}
}
}
selector = ExecutionSelector('csv_hello_world')
instance = DagsterInstance.local_temp()
pipeline_run = instance.create_run(
PipelineRun(
pipeline_name=passing_pipeline.name,
run_id=run_id,
selector=selector,
environment_dict=environment_dict,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
tags=None,
status=PipelineRunStatus.NOT_STARTED,
))
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(handle,
passing_pipeline,
pipeline_run,
instance,
raise_on_error=False)
execution_manager.join()
assert instance.get_run(run_id).status == PipelineRunStatus.SUCCESS
events = instance.all_logs(run_id)
assert events
process_start_events = get_events_of_type(
events, DagsterEventType.PIPELINE_PROCESS_START)
assert len(process_start_events) == 1
process_started_events = get_events_of_type(
events, DagsterEventType.PIPELINE_PROCESS_STARTED)
assert len(process_started_events) == 1
process_exited_events = get_events_of_type(
events, DagsterEventType.PIPELINE_PROCESS_EXITED)
assert len(process_exited_events) == 1
def test_running():
run_id = make_new_run_id()
repository_container = RepositoryContainer(
RepositoryTargetInfo(
repository_yaml=None,
python_file=__file__,
fn_name='define_passing_pipeline',
module_name=None,
))
pipeline = define_passing_pipeline()
env_config = {
'solids': {
'sum_solid': {
'inputs': {
'num': {
'csv': {
'path': script_relative_path('num.csv')
}
}
}
}
}
}
selector = ExecutionSelector('pandas_hello_world')
pipeline_run = InMemoryPipelineRun(
run_id,
selector,
env_config,
create_execution_plan(pipeline, env_config),
reexecution_config=None,
step_keys_to_execute=None,
)
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(repository_container,
pipeline,
pipeline_run,
raise_on_error=False)
execution_manager.join()
assert pipeline_run.status == PipelineRunStatus.SUCCESS
events = pipeline_run.all_logs()
assert events
process_start_events = get_events_of_type(
events, DagsterEventType.PIPELINE_PROCESS_START)
assert len(process_start_events) == 1
process_started_events = get_events_of_type(
events, DagsterEventType.PIPELINE_PROCESS_STARTED)
assert len(process_started_events) == 1
def test_execution_crash():
run_id = make_new_run_id()
repository_container = RepositoryContainer(
RepositoryTargetInfo(
repository_yaml=None,
python_file=__file__,
fn_name='define_crashy_pipeline',
module_name=None,
))
pipeline = define_crashy_pipeline()
env_config = {
'solids': {
'sum_solid': {
'inputs': {
'num': {
'csv': {
'path': script_relative_path('num.csv')
}
}
}
}
}
}
selector = ExecutionSelector('pandas_hello_world')
pipeline_run = InMemoryPipelineRun(
run_id,
selector,
env_config,
create_execution_plan(pipeline, env_config),
reexecution_config=None,
step_keys_to_execute=None,
)
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(repository_container,
pipeline,
pipeline_run,
raise_on_error=False)
execution_manager.join()
assert pipeline_run.status == PipelineRunStatus.FAILURE
last_log = pipeline_run.all_logs()[-1]
print(last_log.message)
assert last_log.message.startswith(
'Exception: Pipeline execution process for {run_id} unexpectedly exited\n'
.format(run_id=run_id))
def test_execution_crash():
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'crashy_pipeline')
environment_dict = {
'solids': {
'sum_solid': {
'inputs': {
'num': script_relative_path('data/num.csv')
}
}
}
}
selector = ExecutionSelector('csv_hello_world')
instance = DagsterInstance.local_temp()
pipeline_run = instance.create_run(
PipelineRun(
pipeline_name=crashy_pipeline.name,
run_id=run_id,
selector=selector,
environment_dict=environment_dict,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
tags=None,
status=PipelineRunStatus.NOT_STARTED,
))
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(handle,
crashy_pipeline,
pipeline_run,
instance,
raise_on_error=False)
execution_manager.join()
assert instance.get_run(run_id).status == PipelineRunStatus.FAILURE
last_log = instance.all_logs(run_id)[-1]
assert last_log.message.startswith(
'Exception: Pipeline execution process for {run_id} unexpectedly exited\n'
.format(run_id=run_id))
def test_failing():
run_id = make_new_run_id()
repository_container = RepositoryContainer(
RepositoryTargetInfo(
repository_yaml=None,
python_file=__file__,
fn_name='define_failing_pipeline',
module_name=None,
))
pipeline = define_failing_pipeline()
env_config = {
'solids': {
'sum_solid': {
'inputs': {
'num': {
'csv': {
'path': script_relative_path('num.csv')
}
}
}
}
}
}
selector = ExecutionSelector('pandas_hello_world')
pipeline_run = InMemoryPipelineRun(
run_id,
selector,
env_config,
create_execution_plan(pipeline, env_config),
reexecution_config=None,
step_keys_to_execute=None,
)
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(repository_container,
pipeline,
pipeline_run,
raise_on_error=False)
execution_manager.join()
assert pipeline_run.status == PipelineRunStatus.FAILURE
assert pipeline_run.all_logs()
def test_failing():
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'failing_pipeline')
environment_dict = {
'solids': {
'sum_solid': {
'inputs': {
'num': script_relative_path('data/num.csv')
}
}
}
}
selector = ExecutionSelector('csv_hello_world')
instance = DagsterInstance.ephemeral()
pipeline_run = instance.create_run(
PipelineRun(
pipeline_name=failing_pipeline.name,
run_id=run_id,
selector=selector,
environment_dict=environment_dict,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
status=PipelineRunStatus.NOT_STARTED,
))
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(handle,
failing_pipeline,
pipeline_run,
instance,
raise_on_error=False)
execution_manager.join()
assert instance.get_run(run_id).status == PipelineRunStatus.FAILURE
assert instance.all_logs(run_id)
def test_multiprocessing_execution_for_composite_solid_with_config_mapping():
environment_dict = {
'solids': {
'composite_with_nested_config_solid_and_config_mapping': {
'config': {
'foo': 'baz',
'bar': 3
}
}
}
}
run_id = make_new_run_id()
handle = ExecutionTargetHandle.for_pipeline_python_file(
__file__, 'composite_pipeline_with_config_mapping')
instance = DagsterInstance.local_temp()
pipeline_run = instance.create_run(
PipelineRun(
pipeline_name=composite_pipeline_with_config_mapping.name,
run_id=run_id,
selector=ExecutionSelector('nonce'),
environment_dict=environment_dict,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
tags=None,
status=PipelineRunStatus.NOT_STARTED,
))
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(handle,
composite_pipeline_with_config_mapping,
pipeline_run,
instance,
raise_on_error=False)
execution_manager.join()
assert instance.get_run(run_id).status == PipelineRunStatus.SUCCESS
environment_dict = {
'solids': {
'composite_with_nested_config_solid_and_config_mapping': {
'config': {
'foo': 'baz',
'bar': 3
}
}
},
'execution': {
'multiprocess': {}
},
'storage': {
'filesystem': {}
},
}
run_id = make_new_run_id()
pipeline_run = instance.create_run(
PipelineRun(
pipeline_name=composite_pipeline.name,
run_id=run_id,
selector=ExecutionSelector('nonce'),
environment_dict=environment_dict,
mode='default',
reexecution_config=None,
step_keys_to_execute=None,
tags=None,
status=PipelineRunStatus.NOT_STARTED,
))
execution_manager = MultiprocessingExecutionManager()
execution_manager.execute_pipeline(handle,
composite_pipeline,
pipeline_run,
instance,
raise_on_error=False)
execution_manager.join()
assert instance.get_run(run_id).status == PipelineRunStatus.SUCCESS