def _call_node_run(
node: Node,
catalog: DataCatalog,
inputs: Dict[str, Any],
is_async: bool,
run_id: str = None,
) -> Dict[str, Any]:
hook_manager = get_hook_manager()
try:
outputs = node.run(inputs)
except Exception as exc:
hook_manager.hook.on_node_error( # pylint: disable=no-member
error=exc,
node=node,
catalog=catalog,
inputs=inputs,
is_async=is_async,
run_id=run_id,
)
raise exc
hook_manager.hook.after_node_run( # pylint: disable=no-member
node=node,
catalog=catalog,
inputs=inputs,
outputs=outputs,
is_async=is_async,
run_id=run_id,
)
return outputs
def _run_node_sequential(node: Node, catalog: DataCatalog, run_id: str = None) -> Node:
inputs = {name: catalog.load(name) for name in node.inputs}
hook_manager = get_hook_manager()
is_async = False
hook_manager.hook.before_node_run( # pylint: disable=no-member
node=node, catalog=catalog, inputs=inputs, is_async=is_async, run_id=run_id
)
try:
outputs = node.run(inputs)
except Exception as exc:
hook_manager.hook.on_node_error( # pylint: disable=no-member
error=exc,
node=node,
catalog=catalog,
inputs=inputs,
is_async=is_async,
run_id=run_id,
)
raise exc
hook_manager.hook.after_node_run( # pylint: disable=no-member
node=node,
catalog=catalog,
inputs=inputs,
outputs=outputs,
is_async=is_async,
run_id=run_id,
)
for name, data in outputs.items():
catalog.save(name, data)
return node
def _copy_node(node: Node) -> Node:
new_namespace = node.namespace
if namespace:
new_namespace = (f"{namespace}.{node.namespace}"
if node.namespace else namespace)
return node._copy(
inputs=_process_dataset_names(node._inputs),
outputs=_process_dataset_names(node._outputs),
namespace=new_namespace,
)
def test_operator_arguments(mocker):
# The Nodes
first_node = Node(lambda: None, [], "a")
last_node = Node(lambda: None, [], "b")
# get turned into tasks and then into operators by the runner
operator = mocker.patch("kedro_airflow.runner.PythonOperator")
def operator_arguments(task_id):
args = {"lambda-none-a": {"retries": 1}}
return args.get(task_id, {})
# actually call the runner to do the conversion
dag = Mock()
pipeline = Pipeline([first_node, last_node])
catalog = DataCatalog({"a": None, "b": None})
AirflowRunner(dag, None, operator_arguments).run(pipeline, catalog)
# check the operator constructor calls
operator.assert_has_calls(
[
call(
dag=dag,
provide_context=True,
python_callable=ANY,
task_id="lambda-none-a",
retries=1,
),
call(
dag=dag,
provide_context=True,
python_callable=ANY,
task_id="lambda-none-b",
),
],
any_order=True,
)
def _run_node_async(node: Node,
catalog: DataCatalog,
run_id: str = None) -> Node:
with ThreadPoolExecutor() as pool:
inputs = {
name: pool.submit(catalog.load, name)
for name in node.inputs
} # Python dict is thread-safe
wait(inputs.values(), return_when=ALL_COMPLETED)
inputs = {key: value.result() for key, value in inputs.items()}
hook_manager = get_hook_manager()
is_async = True
hook_manager.hook.before_node_run( # pylint: disable=no-member
node=node,
catalog=catalog,
inputs=inputs,
is_async=is_async,
run_id=run_id)
try:
outputs = node.run(inputs)
except Exception as exc:
hook_manager.hook.on_node_error( # pylint: disable=no-member
error=exc,
node=node,
catalog=catalog,
inputs=inputs,
is_async=is_async,
run_id=run_id,
)
raise exc
hook_manager.hook.after_node_run( # pylint: disable=no-member
node=node,
catalog=catalog,
inputs=inputs,
outputs=outputs,
is_async=is_async,
run_id=run_id,
)
save_futures = set()
for name, data in outputs.items():
save_futures.add(pool.submit(catalog.save, name, data))
for future in as_completed(save_futures):
exception = future.exception()
if exception:
raise exception
return node
def test_create_task():
def func(a, b):
return a + b
orig_catalog = Mock()
catalog = orig_catalog.shallow_copy()
catalog.load.side_effect = [1, 2]
process_context = Mock(return_value=catalog)
node = Node(func, ["ds_a", "ds_b"], "ds_c")
task = AirflowRunner(None, process_context,
None).create_task(node, orig_catalog)
task(param=123)
process_context.assert_called_once_with(catalog, param=123)
catalog.save.assert_called_once_with("ds_c", 3)
def run_node(node: Node, catalog: DataCatalog) -> Node:
"""Run a single `Node` with inputs from and outputs to the `catalog`.
Args:
node: The ``Node`` to run.
catalog: A ``DataCatalog`` containing the node's inputs and outputs.
Returns:
The node argument.
"""
inputs = {name: catalog.load(name) for name in node.inputs}
outputs = node.run(inputs)
for name, data in outputs.items():
catalog.save(name, data)
return node
def test_run(mocker): # pylint: disable=too-many-locals
# The Nodes
first_node = Node(lambda: None, [], "a")
middle_node = Node(lambda a: None, ["a"], "b")
last_node = Node(lambda b: None, ["b"], [])
# get turned into tasks by create_task
first_task = Mock()
middle_task = Mock()
last_task = Mock()
create_task = mocker.patch(
"kedro_airflow.runner.AirflowRunner.create_task")
create_task.side_effect = lambda node, catalog: {
first_node: first_task,
middle_node: middle_task,
last_node: last_task,
}[node]
# and tasks get turned into operators by the runner
first_op = Mock()
middle_op = Mock()
last_op = Mock()
operator = mocker.patch("kedro_airflow.runner.PythonOperator")
operator.side_effect = lambda python_callable, **kwargs: {
first_task: first_op,
middle_task: middle_op,
last_task: last_op,
}[python_callable]
def operator_arguments(task_id):
args = {
"lambda-none-a": {
"retries": 1
},
"lambda-b-none": {
"retries": 2
}
}
return args.get(task_id, {})
# actually call the runner to do the conversion
dag = Mock()
pipeline = Pipeline([first_node, last_node, middle_node])
catalog = DataCatalog({
"a": LambdaDataSet(load=None, save=None),
"b": LambdaDataSet(load=None, save=None),
})
AirflowRunner(dag, None, operator_arguments).run(pipeline, catalog)
# check the create task calls
create_task.assert_has_calls(
[
call(first_node, catalog),
call(middle_node, catalog),
call(last_node, catalog),
],
any_order=True,
)
# check the operator constructor calls
operator.assert_has_calls(
[
call(
dag=dag,
provide_context=True,
python_callable=first_task,
task_id="lambda-none-a",
retries=1,
),
call(
dag=dag,
provide_context=True,
python_callable=middle_task,
task_id="lambda-a-b",
),
call(
dag=dag,
provide_context=True,
python_callable=last_task,
task_id="lambda-b-none",
retries=2,
),
],
any_order=True,
)
# check the dependcy hookup
first_op.set_upstream.assert_not_called()
middle_op.set_upstream.assert_called_once_with(first_op)
last_op.set_upstream.assert_called_once_with(middle_op)
def test_no_memory_datasets():
pipeline = Pipeline([Node(lambda: None, [], "fred")])
catalog = DataCatalog({"fred": MemoryDataSet()})
with pytest.raises(ValueError, match="memory data sets: 'fred'"):
AirflowRunner(None, None, {}).run(pipeline, catalog)
def test_no_default_datasets():
pipeline = Pipeline([Node(lambda: None, [], "fred")])
catalog = DataCatalog()
with pytest.raises(ValueError, match="'fred' is not registered"):
AirflowRunner(None, None, {}).run(pipeline, catalog)