def _create_launcher_context(self, component_config=None):
test_dir = self.get_temp_dir()
connection_config = metadata_store_pb2.ConnectionConfig()
connection_config.sqlite.SetInParent()
pipeline_root = os.path.join(test_dir, 'Test')
input_artifact = test_utils._InputArtifact()
input_artifact.uri = os.path.join(test_dir, 'input')
component = test_utils._FakeComponent(
name='FakeComponent',
input_channel=channel_utils.as_channel([input_artifact]),
custom_executor_spec=executor_spec.ExecutorContainerSpec(
image='gcr://test', args=['{{input_dict["input"][0].uri}}']))
pipeline_info = data_types.PipelineInfo(pipeline_name='Test',
pipeline_root=pipeline_root,
run_id='123')
driver_args = data_types.DriverArgs(enable_cache=True)
launcher = kubernetes_component_launcher.KubernetesComponentLauncher.create(
component=component,
pipeline_info=pipeline_info,
driver_args=driver_args,
metadata_connection_config=connection_config,
beam_pipeline_args=[],
additional_pipeline_args={},
component_config=component_config)
return {'launcher': launcher, 'input_artifact': input_artifact}
def resolve_container_template(
container_spec_tmpl: executor_spec.ExecutorContainerSpec,
input_dict: Dict[Text, List[types.Artifact]],
output_dict: Dict[Text, List[types.Artifact]],
exec_properties: Dict[Text,
Any]) -> executor_spec.ExecutorContainerSpec:
"""Resolves Jinja2 template languages from an executor container spec.
Args:
container_spec_tmpl: the container spec template to be resolved.
input_dict: Dictionary of input artifacts consumed by this component.
output_dict: Dictionary of output artifacts produced by this component.
exec_properties: Dictionary of execution properties.
Returns:
A resolved container spec.
"""
context = {
'input_dict': input_dict,
'output_dict': output_dict,
'exec_properties': exec_properties,
}
return executor_spec.ExecutorContainerSpec(
image=_render_text(container_spec_tmpl.image, context),
command=_render_items(container_spec_tmpl.command, context),
args=_render_items(container_spec_tmpl.args, context))
def testCanLaunch(self):
self.assertTrue(
docker_component_launcher.DockerComponentLauncher.can_launch(
executor_spec.ExecutorContainerSpec(image='test')))
self.assertFalse(
docker_component_launcher.DockerComponentLauncher.can_launch(
executor_spec.ExecutorClassSpec(base_executor.BaseExecutor)))
def testFindComponentLaunchInfoReturnConfigOverride(self):
input_artifact = test_utils._InputArtifact()
component = test_utils._FakeComponent(
name='FakeComponent',
input_channel=channel_utils.as_channel([input_artifact]),
custom_executor_spec=executor_spec.ExecutorContainerSpec(
image='gcr://test', args=['{{input_dict["input"][0].uri}}']))
default_config = docker_component_config.DockerComponentConfig()
override_config = docker_component_config.DockerComponentConfig(
name='test')
p_config = pipeline_config.PipelineConfig(
supported_launcher_classes=[
docker_component_launcher.DockerComponentLauncher
],
default_component_configs=[default_config],
component_config_overrides={
'_FakeComponent.FakeComponent': override_config
})
(launcher_class, c_config) = config_utils.find_component_launch_info(
p_config, component)
self.assertEqual(docker_component_launcher.DockerComponentLauncher,
launcher_class)
self.assertEqual(override_config, c_config)
class ByeWorldComponent(BaseComponent):
"""Consumer component."""
SPEC_CLASS = _ByeWorldSpec
EXECUTOR_SPEC = executor_spec.ExecutorContainerSpec(
image='bash:latest',
command=['echo'],
args=['received {{input_dict["hearing"][0].value}}'])
def __init__(self, hearing):
super(ByeWorldComponent, self).__init__(_ByeWorldSpec(hearing=hearing))
class _HelloWorldComponent(base_component.BaseComponent):
SPEC_CLASS = _HelloWorldSpec
EXECUTOR_SPEC = executor_spec.ExecutorContainerSpec(
# TODO(b/143965964): move the image to private repo if the test is flaky
# due to docker hub.
image='alpine:latest',
command=['echo'],
args=['hello {{exec_properties.name}}'])
def __init__(self, name):
super(_HelloWorldComponent, self).__init__(_HelloWorldSpec(name=name))
class HelloWorldComponent(BaseComponent):
"""Producer component."""
SPEC_CLASS = _HelloWorldSpec
EXECUTOR_SPEC = executor_spec.ExecutorContainerSpec(
# TODO(b/143965964): move the image to private repo if the test is flaky
# due to docker hub.
image='google/cloud-sdk:latest',
command=['sh', '-c'],
args=[
'echo "hello {{exec_properties.word}}" | gsutil cp - {{output_dict["greeting"][0].uri}}'
])
def __init__(self, word, greeting=None):
if not greeting:
artifact = standard_artifacts.String()
greeting = channel_utils.as_channel([artifact])
super(HelloWorldComponent,
self).__init__(_HelloWorldSpec(word=word, greeting=greeting))
def testResolveContainerTemplate(self):
container_spec = executor_spec.ExecutorContainerSpec(
image='gcr.io/my/trainer:{{exec_properties.version}}',
command=['{{exec_properties.model}}_trainer'],
args=[
'--steps',
'{{exec_properties.train_args.num_steps}}',
'--examples',
'{{input_dict["examples"]|join(",",attribute="uri")}}',
'--model-path',
'{{output_dict["model"][0].uri}}',
])
examples_artifact_1 = standard_artifacts.Examples()
examples_artifact_1.uri = 'gcs://examples/1'
examples_artifact_2 = standard_artifacts.Examples()
examples_artifact_2.uri = 'gcs://examples/2'
model = standard_artifacts.Model()
model.uri = 'gcs://model'
input_dict = {'examples': [examples_artifact_1, examples_artifact_2]}
output_dict = {'model': [model]}
exec_properties = {
'version': 'v1',
'model': 'cnn',
'train_args': trainer_pb2.TrainArgs(num_steps=10000),
}
actual_spec = container_common.resolve_container_template(
container_spec, input_dict, output_dict, exec_properties)
self.assertEqual('gcr.io/my/trainer:v1', actual_spec.image)
self.assertListEqual(['cnn_trainer'], actual_spec.command)
self.assertListEqual([
'--steps',
'10000',
'--examples',
'gcs://examples/1,gcs://examples/2',
'--model-path',
'gcs://model',
], actual_spec.args)
