def test_execute_step_with_structured_logs():
with get_foo_pipeline_handle() as pipeline_handle:
runner = CliRunner()
with instance_for_test(
overrides={
"compute_logs": {
"module": "dagster.core.storage.noop_compute_log_manager",
"class": "NoOpComputeLogManager",
}
}
) as instance:
run = create_run_for_test(instance, pipeline_name="foo", run_id="new_run")
input_json = serialize_dagster_namedtuple(
ExecuteStepArgs(
pipeline_origin=pipeline_handle.get_origin(),
pipeline_run_id=run.run_id,
instance_ref=instance.get_ref(),
)
)
result = runner_execute_step_with_structured_logs(runner, [input_json],)
assert "STEP_SUCCESS" in result.stdout
def test_execute_run_cannot_load():
with get_foo_pipeline_handle() as pipeline_handle:
runner = CliRunner()
with instance_for_test(
overrides={
"compute_logs": {
"module":
"dagster.core.storage.noop_compute_log_manager",
"class": "NoOpComputeLogManager",
}
}) as instance:
instance = DagsterInstance.get()
input_json = serialize_dagster_namedtuple(
ExecuteRunArgs(
pipeline_origin=pipeline_handle.get_python_origin(),
pipeline_run_id="FOOBAR",
instance_ref=instance.get_ref(),
))
result = runner.invoke(
api.execute_run_command,
[input_json],
)
assert result.exit_code != 0
assert "Pipeline run with id 'FOOBAR' not found for run execution" in str(
result.exception), "no match, result: {}".format(result.stdout)
def test_execute_run():
with get_foo_pipeline_handle() as pipeline_handle:
runner = CliRunner()
with instance_for_test(
overrides={
"compute_logs": {
"module":
"dagster.core.storage.noop_compute_log_manager",
"class": "NoOpComputeLogManager",
}
}) as instance:
instance = DagsterInstance.get()
run = create_run_for_test(instance,
pipeline_name="foo",
run_id="new_run")
input_json = serialize_dagster_namedtuple(
ExecuteRunArgs(
pipeline_origin=pipeline_handle.get_python_origin(),
pipeline_run_id=run.run_id,
instance_ref=instance.get_ref(),
))
result = runner_execute_run(
runner,
[input_json],
)
assert "PIPELINE_SUCCESS" in result.stdout, "no match, result: {}".format(
result.stdout)
# Framework errors (e.g. running a run that has already run) still result in a non-zero error code
result = runner.invoke(api.execute_run_command, [input_json])
assert result.exit_code == 0
def create_run(instance, **kwargs): # pylint: disable=redefined-outer-name
with get_foo_pipeline_handle() as pipeline_handle:
create_run_for_test(
instance,
external_pipeline_origin=pipeline_handle.get_external_origin(),
pipeline_name="foo",
**kwargs)
def create_run(instance, **kwargs):
with get_foo_pipeline_handle() as pipeline_handle:
create_run_for_test(
instance,
external_pipeline_origin=pipeline_handle.get_external_origin(),
pipeline_name="foo",
**kwargs,
)
def create_run(instance, **kwargs): # pylint: disable=redefined-outer-name
with get_foo_pipeline_handle() as pipeline_handle:
pipeline_args = merge_dicts(
{
"pipeline_name": "foo",
"external_pipeline_origin": pipeline_handle.get_external_origin(),
},
kwargs,
)
yield create_run_for_test(instance, **pipeline_args)
def test_external_pipeline_from_run():
with instance_for_test() as instance:
with get_foo_pipeline_handle() as pipeline_handle:
run = create_run_for_test(
instance,
pipeline_name=pipeline_handle.pipeline_name,
external_pipeline_origin=pipeline_handle.get_external_origin(),
)
with external_pipeline_from_run(run) as external_pipeline:
assert external_pipeline.name == pipeline_handle.pipeline_name
def test_execute_step_verify_step_framework_error(mock_verify_step):
with get_foo_pipeline_handle() as pipeline_handle:
runner = CliRunner()
mock_verify_step.side_effect = Exception(
"Unexpected framework error text")
with instance_for_test(
overrides={
"compute_logs": {
"module":
"dagster.core.storage.noop_compute_log_manager",
"class": "NoOpComputeLogManager",
}
}) as instance:
run = create_run_for_test(
instance,
pipeline_name="foo",
run_id="new_run",
)
input_json = serialize_dagster_namedtuple(
ExecuteStepArgs(
pipeline_origin=pipeline_handle.get_python_origin(),
pipeline_run_id=run.run_id,
step_keys_to_execute=["fake_step"],
instance_ref=instance.get_ref(),
should_verify_step=True,
known_state=KnownExecutionState(
{},
{
"blah": {
"result": ["0", "1", "2"]
},
},
),
))
result = runner.invoke(api.execute_step_command, [input_json])
assert result.exit_code != 0
# Framework error logged to event log
logs = instance.all_logs(run.run_id)
log_entry = logs[0]
assert (
log_entry.message ==
"An exception was thrown during step execution that is likely a framework error, rather than an error in user code."
)
assert log_entry.step_key == "fake_step"
assert "Unexpected framework error text" in str(
log_entry.dagster_event.event_specific_data.error)
def test_submit_run():
with instance_for_test(
overrides={
"run_coordinator": {
"module": "dagster.core.test_utils",
"class": "MockedRunCoordinator",
}
}) as instance:
with get_foo_pipeline_handle() as pipeline_handle:
run = create_run_for_test(
instance=instance,
pipeline_name=pipeline_handle.pipeline_name,
run_id="foo-bar",
external_pipeline_origin=pipeline_handle.get_external_origin(),
)
instance.submit_run(run.run_id, None)
assert len(instance.run_coordinator.queue()) == 1
assert instance.run_coordinator.queue()[0].run_id == "foo-bar"
"dagster runner_execute_run_with_structured_logs commands with cli_args {cli_args} "
'returned exit_code {exit_code} with stdout:\n"{stdout}"'
'\n exception: "\n{exception}"'
'\n and result as string: "{result}"').format(
cli_args=cli_args,
exit_code=result.exit_code,
stdout=result.stdout,
exception=result.exception,
result=result,
))
return result
@pytest.mark.parametrize(
"pipeline_handle",
[get_foo_pipeline_handle()],
)
def test_execute_run_with_structured_logs(pipeline_handle):
runner = CliRunner()
with instance_for_test(
overrides={
"compute_logs": {
"module": "dagster.core.storage.noop_compute_log_manager",
"class": "NoOpComputeLogManager",
}
}) as instance:
instance = DagsterInstance.get()
run = create_run_for_test(instance,
pipeline_name="foo",
run_id="new_run")
def test_execute_step_verify_step():
with get_foo_pipeline_handle() as pipeline_handle:
runner = CliRunner()
with instance_for_test(
overrides={
"compute_logs": {
"module":
"dagster.core.storage.noop_compute_log_manager",
"class": "NoOpComputeLogManager",
}
}) as instance:
run = create_run_for_test(
instance,
pipeline_name="foo",
run_id="new_run",
)
input_json = serialize_dagster_namedtuple(
ExecuteStepArgs(
pipeline_origin=pipeline_handle.get_python_origin(),
pipeline_run_id=run.run_id,
step_keys_to_execute=None,
instance_ref=instance.get_ref(),
))
# Check that verify succeeds for step that has hasn't been fun (case 3)
retries = RetryState()
assert verify_step(instance,
run,
retries,
step_keys_to_execute=["do_something"])
# Check that verify fails when trying to retry with no original attempt (case 3)
retries = RetryState()
retries.mark_attempt("do_something")
assert not verify_step(
instance, run, retries, step_keys_to_execute=["do_something"])
# Test trying to re-run a retry fails verify_step (case 2)
with mock.patch("dagster.cli.api.get_step_stats_by_key"
) as _step_stats_by_key:
_step_stats_by_key.return_value = {
"do_something":
RunStepKeyStatsSnapshot(run_id=run.run_id,
step_key="do_something",
attempts=2)
}
retries = RetryState()
retries.mark_attempt("do_something")
assert not verify_step(instance,
run,
retries,
step_keys_to_execute=["do_something"])
runner_execute_step(
runner,
[input_json],
)
# # Check that verify fails for step that has already run (case 1)
retries = RetryState()
assert not verify_step(
instance, run, retries, step_keys_to_execute=["do_something"])