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test_dataflow.py
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test_dataflow.py
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#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
import copy
import shlex
import unittest
from typing import Any, Dict
from unittest import mock
from unittest.mock import MagicMock
from uuid import UUID
import pytest
from parameterized import parameterized
from airflow.exceptions import AirflowException
from airflow.providers.apache.beam.hooks.beam import BeamCommandRunner, BeamHook
from airflow.providers.google.cloud.hooks.dataflow import (
DEFAULT_DATAFLOW_LOCATION,
DataflowHook,
DataflowJobStatus,
DataflowJobType,
_DataflowJobsController,
_fallback_to_project_id_from_variables,
process_line_and_extract_dataflow_job_id_callback,
)
DEFAULT_RUNNER = "DirectRunner"
BEAM_STRING = 'airflow.providers.apache.beam.hooks.beam.{}'
TASK_ID = 'test-dataflow-operator'
JOB_NAME = 'test-dataflow-pipeline'
MOCK_UUID = UUID('cf4a56d2-8101-4217-b027-2af6216feb48')
MOCK_UUID_PREFIX = str(MOCK_UUID)[:8]
UNIQUE_JOB_NAME = f'test-dataflow-pipeline-{MOCK_UUID_PREFIX}'
TEST_TEMPLATE = 'gs://dataflow-templates/wordcount/template_file'
PARAMETERS = {
'inputFile': 'gs://dataflow-samples/shakespeare/kinglear.txt',
'output': 'gs://test/output/my_output',
}
PY_FILE = 'apache_beam.examples.wordcount'
JAR_FILE = 'unitest.jar'
JOB_CLASS = 'com.example.UnitTest'
PY_OPTIONS = ['-m']
DATAFLOW_VARIABLES_PY = {'project': 'test', 'staging_location': 'gs://test/staging', 'labels': {'foo': 'bar'}}
DATAFLOW_VARIABLES_JAVA = {
'project': 'test',
'stagingLocation': 'gs://test/staging',
'labels': {'foo': 'bar'},
}
RUNTIME_ENV = {
'additionalExperiments': ['exp_flag1', 'exp_flag2'],
'additionalUserLabels': {'name': 'wrench', 'mass': '1.3kg', 'count': '3'},
'bypassTempDirValidation': {},
'ipConfiguration': 'WORKER_IP_PRIVATE',
'kmsKeyName': (
'projects/TEST_PROJECT_ID/locations/TEST_LOCATIONS/keyRings/TEST_KEYRING/cryptoKeys/TEST_CRYPTOKEYS'
),
'maxWorkers': 10,
'network': 'default',
'numWorkers': 2,
'serviceAccountEmail': 'test@apache.airflow',
'subnetwork': 'regions/REGION/subnetworks/SUBNETWORK',
'tempLocation': 'gs://test/temp',
'workerRegion': "test-region",
'workerZone': 'test-zone',
'zone': 'us-central1-f',
'machineType': 'n1-standard-1',
}
BASE_STRING = 'airflow.providers.google.common.hooks.base_google.{}'
DATAFLOW_STRING = 'airflow.providers.google.cloud.hooks.dataflow.{}'
TEST_PROJECT = 'test-project'
TEST_JOB_ID = 'test-job-id'
TEST_LOCATION = 'custom-location'
DEFAULT_PY_INTERPRETER = 'python3'
TEST_FLEX_PARAMETERS = {
"containerSpecGcsPath": "gs://test-bucket/test-file",
"jobName": 'test-job-name',
"parameters": {
"inputSubscription": 'test-subscription',
"outputTable": "test-project:test-dataset.streaming_beam_sql",
},
}
TEST_PROJECT_ID = 'test-project-id'
TEST_SQL_JOB_NAME = 'test-sql-job-name'
TEST_DATASET = 'test-dataset'
TEST_SQL_OPTIONS = {
"bigquery-project": TEST_PROJECT,
"bigquery-dataset": TEST_DATASET,
"bigquery-table": "beam_output",
'bigquery-write-disposition': "write-truncate",
}
TEST_SQL_QUERY = """
SELECT
sales_region as sales_region,
count(state_id) as count_state
FROM
bigquery.table.test-project.beam_samples.beam_table
GROUP BY sales_region;
"""
TEST_SQL_JOB_ID = 'test-job-id'
DEFAULT_CANCEL_TIMEOUT = 5 * 60
class TestFallbackToVariables(unittest.TestCase):
def test_support_project_id_parameter(self):
mock_instance = mock.MagicMock()
class FixtureFallback:
@_fallback_to_project_id_from_variables
def test_fn(self, *args, **kwargs):
mock_instance(*args, **kwargs)
FixtureFallback().test_fn(project_id="TEST")
mock_instance.assert_called_once_with(project_id="TEST")
def test_support_project_id_from_variable_parameter(self):
mock_instance = mock.MagicMock()
class FixtureFallback:
@_fallback_to_project_id_from_variables
def test_fn(self, *args, **kwargs):
mock_instance(*args, **kwargs)
FixtureFallback().test_fn(variables={'project': "TEST"})
mock_instance.assert_called_once_with(project_id='TEST', variables={})
def test_raise_exception_on_conflict(self):
mock_instance = mock.MagicMock()
class FixtureFallback:
@_fallback_to_project_id_from_variables
def test_fn(self, *args, **kwargs):
mock_instance(*args, **kwargs)
with pytest.raises(
AirflowException,
match="The mutually exclusive parameter `project_id` and `project` key in `variables` parameter "
"are both present\\. Please remove one\\.",
):
FixtureFallback().test_fn(variables={'project': "TEST"}, project_id="TEST2")
def test_raise_exception_on_positional_argument(self):
mock_instance = mock.MagicMock()
class FixtureFallback:
@_fallback_to_project_id_from_variables
def test_fn(self, *args, **kwargs):
mock_instance(*args, **kwargs)
with pytest.raises(
AirflowException, match="You must use keyword arguments in this methods rather than positional"
):
FixtureFallback().test_fn({'project': "TEST"}, "TEST2")
def mock_init(
self,
gcp_conn_id,
delegate_to=None,
impersonation_chain=None,
):
pass
class TestDataflowHook(unittest.TestCase):
def setUp(self):
with mock.patch(BASE_STRING.format('GoogleBaseHook.__init__'), new=mock_init):
self.dataflow_hook = DataflowHook(gcp_conn_id='test')
self.dataflow_hook.beam_hook = MagicMock()
@mock.patch("airflow.providers.google.cloud.hooks.dataflow.DataflowHook._authorize")
@mock.patch("airflow.providers.google.cloud.hooks.dataflow.build")
def test_dataflow_client_creation(self, mock_build, mock_authorize):
result = self.dataflow_hook.get_conn()
mock_build.assert_called_once_with(
'dataflow', 'v1b3', http=mock_authorize.return_value, cache_discovery=False
)
assert mock_build.return_value == result
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_python_dataflow(self, mock_callback_on_job_id, mock_dataflow_wait_for_done, mock_uuid):
mock_beam_start_python_pipeline = self.dataflow_hook.beam_hook.start_python_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
py_requirements = ["pandas", "numpy"]
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_python_dataflow(
job_name=JOB_NAME,
variables=DATAFLOW_VARIABLES_PY,
dataflow=PY_FILE,
py_options=PY_OPTIONS,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_requirements=py_requirements,
on_new_job_id_callback=on_new_job_id_callback,
)
expected_variables = copy.deepcopy(DATAFLOW_VARIABLES_PY)
expected_variables["job_name"] = job_name
expected_variables["region"] = DEFAULT_DATAFLOW_LOCATION
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_python_pipeline.assert_called_once_with(
variables=expected_variables,
py_file=PY_FILE,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_options=PY_OPTIONS,
py_requirements=py_requirements,
py_system_site_packages=False,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=DEFAULT_DATAFLOW_LOCATION
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_python_dataflow_with_custom_region_as_variable(
self, mock_callback_on_job_id, mock_dataflow_wait_for_done, mock_uuid
):
mock_beam_start_python_pipeline = self.dataflow_hook.beam_hook.start_python_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
py_requirements = ["pandas", "numpy"]
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
passed_variables = copy.deepcopy(DATAFLOW_VARIABLES_PY)
passed_variables["region"] = TEST_LOCATION
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_python_dataflow(
job_name=JOB_NAME,
variables=passed_variables,
dataflow=PY_FILE,
py_options=PY_OPTIONS,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_requirements=py_requirements,
on_new_job_id_callback=on_new_job_id_callback,
)
expected_variables = copy.deepcopy(DATAFLOW_VARIABLES_PY)
expected_variables["job_name"] = job_name
expected_variables["region"] = TEST_LOCATION
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_python_pipeline.assert_called_once_with(
variables=expected_variables,
py_file=PY_FILE,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_options=PY_OPTIONS,
py_requirements=py_requirements,
py_system_site_packages=False,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=TEST_LOCATION
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_python_dataflow_with_custom_region_as_parameter(
self, mock_callback_on_job_id, mock_dataflow_wait_for_done, mock_uuid
):
mock_beam_start_python_pipeline = self.dataflow_hook.beam_hook.start_python_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
py_requirements = ["pandas", "numpy"]
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
passed_variables = copy.deepcopy(DATAFLOW_VARIABLES_PY)
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_python_dataflow(
job_name=JOB_NAME,
variables=passed_variables,
dataflow=PY_FILE,
py_options=PY_OPTIONS,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_requirements=py_requirements,
on_new_job_id_callback=on_new_job_id_callback,
location=TEST_LOCATION,
)
expected_variables = copy.deepcopy(DATAFLOW_VARIABLES_PY)
expected_variables["job_name"] = job_name
expected_variables["region"] = TEST_LOCATION
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_python_pipeline.assert_called_once_with(
variables=expected_variables,
py_file=PY_FILE,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_options=PY_OPTIONS,
py_requirements=py_requirements,
py_system_site_packages=False,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=TEST_LOCATION
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_python_dataflow_with_multiple_extra_packages(
self, mock_callback_on_job_id, mock_dataflow_wait_for_done, mock_uuid
):
mock_beam_start_python_pipeline = self.dataflow_hook.beam_hook.start_python_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
py_requirements = ["pandas", "numpy"]
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
passed_variables = copy.deepcopy(DATAFLOW_VARIABLES_PY)
passed_variables['extra-package'] = ['a.whl', 'b.whl']
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_python_dataflow(
job_name=JOB_NAME,
variables=passed_variables,
dataflow=PY_FILE,
py_options=PY_OPTIONS,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_requirements=py_requirements,
on_new_job_id_callback=on_new_job_id_callback,
)
expected_variables = copy.deepcopy(DATAFLOW_VARIABLES_PY)
expected_variables["job_name"] = job_name
expected_variables["region"] = DEFAULT_DATAFLOW_LOCATION
expected_variables['extra-package'] = ['a.whl', 'b.whl']
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_python_pipeline.assert_called_once_with(
variables=expected_variables,
py_file=PY_FILE,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_options=PY_OPTIONS,
py_requirements=py_requirements,
py_system_site_packages=False,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=DEFAULT_DATAFLOW_LOCATION
)
@parameterized.expand(
[
('python3',),
('python2',),
('python3',),
('python3.6',),
]
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_python_dataflow_with_custom_interpreter(
self, py_interpreter, mock_callback_on_job_id, mock_dataflow_wait_for_done, mock_uuid
):
mock_beam_start_python_pipeline = self.dataflow_hook.beam_hook.start_python_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_python_dataflow(
job_name=JOB_NAME,
variables=DATAFLOW_VARIABLES_PY,
dataflow=PY_FILE,
py_options=PY_OPTIONS,
py_interpreter=py_interpreter,
py_requirements=None,
on_new_job_id_callback=on_new_job_id_callback,
)
expected_variables = copy.deepcopy(DATAFLOW_VARIABLES_PY)
expected_variables["job_name"] = job_name
expected_variables["region"] = DEFAULT_DATAFLOW_LOCATION
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_python_pipeline.assert_called_once_with(
variables=expected_variables,
py_file=PY_FILE,
py_interpreter=py_interpreter,
py_options=PY_OPTIONS,
py_requirements=None,
py_system_site_packages=False,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=DEFAULT_DATAFLOW_LOCATION
)
@parameterized.expand(
[
(['foo-bar'], False),
(['foo-bar'], True),
([], True),
]
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_python_dataflow_with_non_empty_py_requirements_and_without_system_packages(
self,
current_py_requirements,
current_py_system_site_packages,
mock_callback_on_job_id,
mock_dataflow_wait_for_done,
mock_uuid,
):
mock_beam_start_python_pipeline = self.dataflow_hook.beam_hook.start_python_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_python_dataflow(
job_name=JOB_NAME,
variables=DATAFLOW_VARIABLES_PY,
dataflow=PY_FILE,
py_options=PY_OPTIONS,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_requirements=current_py_requirements,
py_system_site_packages=current_py_system_site_packages,
on_new_job_id_callback=on_new_job_id_callback,
)
expected_variables = copy.deepcopy(DATAFLOW_VARIABLES_PY)
expected_variables["job_name"] = job_name
expected_variables["region"] = DEFAULT_DATAFLOW_LOCATION
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_python_pipeline.assert_called_once_with(
variables=expected_variables,
py_file=PY_FILE,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_options=PY_OPTIONS,
py_requirements=current_py_requirements,
py_system_site_packages=current_py_system_site_packages,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=DEFAULT_DATAFLOW_LOCATION
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
def test_start_python_dataflow_with_empty_py_requirements_and_without_system_packages(
self, mock_dataflow_wait_for_done, mock_uuid
):
self.dataflow_hook.beam_hook = BeamHook(runner="DataflowRunner")
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"), self.assertRaisesRegex(
AirflowException, "Invalid method invocation."
):
self.dataflow_hook.start_python_dataflow(
job_name=JOB_NAME,
variables=DATAFLOW_VARIABLES_PY,
dataflow=PY_FILE,
py_options=PY_OPTIONS,
py_interpreter=DEFAULT_PY_INTERPRETER,
py_requirements=[],
on_new_job_id_callback=on_new_job_id_callback,
)
mock_dataflow_wait_for_done.assert_not_called()
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_java_dataflow(self, mock_callback_on_job_id, mock_dataflow_wait_for_done, mock_uuid):
mock_beam_start_java_pipeline = self.dataflow_hook.beam_hook.start_java_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_java_dataflow(
job_name=JOB_NAME,
variables=DATAFLOW_VARIABLES_JAVA,
jar=JAR_FILE,
job_class=JOB_CLASS,
on_new_job_id_callback=on_new_job_id_callback,
)
expected_variables = copy.deepcopy(DATAFLOW_VARIABLES_JAVA)
expected_variables["jobName"] = job_name
expected_variables["region"] = DEFAULT_DATAFLOW_LOCATION
expected_variables["labels"] = '{"foo":"bar"}'
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_java_pipeline.assert_called_once_with(
variables=expected_variables,
jar=JAR_FILE,
job_class=JOB_CLASS,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=DEFAULT_DATAFLOW_LOCATION, multiple_jobs=False
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_java_dataflow_with_multiple_values_in_variables(
self, mock_callback_on_job_id, mock_dataflow_wait_for_done, mock_uuid
):
mock_beam_start_java_pipeline = self.dataflow_hook.beam_hook.start_java_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
passed_variables: Dict[str, Any] = copy.deepcopy(DATAFLOW_VARIABLES_JAVA)
passed_variables['mock-option'] = ['a.whl', 'b.whl']
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_java_dataflow(
job_name=JOB_NAME,
variables=passed_variables,
jar=JAR_FILE,
job_class=JOB_CLASS,
on_new_job_id_callback=on_new_job_id_callback,
)
expected_variables = copy.deepcopy(passed_variables)
expected_variables["jobName"] = job_name
expected_variables["region"] = DEFAULT_DATAFLOW_LOCATION
expected_variables["labels"] = '{"foo":"bar"}'
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_java_pipeline.assert_called_once_with(
variables=expected_variables,
jar=JAR_FILE,
job_class=JOB_CLASS,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=DEFAULT_DATAFLOW_LOCATION, multiple_jobs=False
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_java_dataflow_with_custom_region_as_variable(
self, mock_callback_on_job_id, mock_dataflow_wait_for_done, mock_uuid
):
mock_beam_start_java_pipeline = self.dataflow_hook.beam_hook.start_java_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
passed_variables: Dict[str, Any] = copy.deepcopy(DATAFLOW_VARIABLES_JAVA)
passed_variables['region'] = TEST_LOCATION
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_java_dataflow(
job_name=JOB_NAME,
variables=passed_variables,
jar=JAR_FILE,
job_class=JOB_CLASS,
on_new_job_id_callback=on_new_job_id_callback,
)
expected_variables = copy.deepcopy(DATAFLOW_VARIABLES_JAVA)
expected_variables["jobName"] = job_name
expected_variables["region"] = TEST_LOCATION
expected_variables["labels"] = '{"foo":"bar"}'
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_java_pipeline.assert_called_once_with(
variables=expected_variables,
jar=JAR_FILE,
job_class=JOB_CLASS,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=TEST_LOCATION, multiple_jobs=False
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.wait_for_done'))
@mock.patch(DATAFLOW_STRING.format('process_line_and_extract_dataflow_job_id_callback'))
def test_start_java_dataflow_with_custom_region_as_parameter(
self, mock_callback_on_job_id, mock_dataflow_wait_for_done, mock_uuid
):
mock_beam_start_java_pipeline = self.dataflow_hook.beam_hook.start_java_pipeline
mock_uuid.return_value = MOCK_UUID
on_new_job_id_callback = MagicMock()
job_name = f"{JOB_NAME}-{MOCK_UUID_PREFIX}"
with self.assertWarnsRegex(DeprecationWarning, "This method is deprecated"):
self.dataflow_hook.start_java_dataflow(
job_name=JOB_NAME,
variables=DATAFLOW_VARIABLES_JAVA,
jar=JAR_FILE,
job_class=JOB_CLASS,
on_new_job_id_callback=on_new_job_id_callback,
location=TEST_LOCATION,
)
expected_variables = copy.deepcopy(DATAFLOW_VARIABLES_JAVA)
expected_variables["jobName"] = job_name
expected_variables["region"] = TEST_LOCATION
expected_variables["labels"] = '{"foo":"bar"}'
mock_callback_on_job_id.assert_called_once_with(on_new_job_id_callback)
mock_beam_start_java_pipeline.assert_called_once_with(
variables=expected_variables,
jar=JAR_FILE,
job_class=JOB_CLASS,
process_line_callback=mock_callback_on_job_id.return_value,
)
mock_dataflow_wait_for_done.assert_called_once_with(
job_id=mock.ANY, job_name=job_name, location=TEST_LOCATION, multiple_jobs=False
)
@parameterized.expand(
[
(JOB_NAME, JOB_NAME, False),
('test-example', 'test_example', False),
(f'test-dataflow-pipeline-{MOCK_UUID_PREFIX}', JOB_NAME, True),
(f'test-example-{MOCK_UUID_PREFIX}', 'test_example', True),
('df-job-1', 'df-job-1', False),
('df-job', 'df-job', False),
('dfjob', 'dfjob', False),
('dfjob1', 'dfjob1', False),
]
)
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'), return_value=MOCK_UUID)
def test_valid_dataflow_job_name(self, expected_result, job_name, append_job_name, mock_uuid4):
job_name = self.dataflow_hook.build_dataflow_job_name(
job_name=job_name, append_job_name=append_job_name
)
self.assertEqual(expected_result, job_name)
#
@parameterized.expand([("1dfjob@",), ("dfjob@",), ("df^jo",)])
def test_build_dataflow_job_name_with_invalid_value(self, job_name):
self.assertRaises(
ValueError, self.dataflow_hook.build_dataflow_job_name, job_name=job_name, append_job_name=False
)
#
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_get_job(self, mock_conn, mock_dataflowjob):
method_fetch_job_by_id = mock_dataflowjob.return_value.fetch_job_by_id
self.dataflow_hook.get_job(job_id=TEST_JOB_ID, project_id=TEST_PROJECT_ID, location=TEST_LOCATION)
mock_conn.assert_called_once()
mock_dataflowjob.assert_called_once_with(
dataflow=mock_conn.return_value,
project_number=TEST_PROJECT_ID,
location=TEST_LOCATION,
)
method_fetch_job_by_id.assert_called_once_with(TEST_JOB_ID)
#
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_fetch_job_metrics_by_id(self, mock_conn, mock_dataflowjob):
method_fetch_job_metrics_by_id = mock_dataflowjob.return_value.fetch_job_metrics_by_id
self.dataflow_hook.fetch_job_metrics_by_id(
job_id=TEST_JOB_ID, project_id=TEST_PROJECT_ID, location=TEST_LOCATION
)
mock_conn.assert_called_once()
mock_dataflowjob.assert_called_once_with(
dataflow=mock_conn.return_value,
project_number=TEST_PROJECT_ID,
location=TEST_LOCATION,
)
method_fetch_job_metrics_by_id.assert_called_once_with(TEST_JOB_ID)
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_fetch_job_metrics_by_id_controller(self, mock_conn):
method_get_metrics = (
mock_conn.return_value.projects.return_value.locations.return_value.jobs.return_value.getMetrics
)
self.dataflow_hook.fetch_job_metrics_by_id(
job_id=TEST_JOB_ID, project_id=TEST_PROJECT_ID, location=TEST_LOCATION
)
mock_conn.assert_called_once()
method_get_metrics.return_value.execute.assert_called_once_with(num_retries=0)
method_get_metrics.assert_called_once_with(
jobId=TEST_JOB_ID, projectId=TEST_PROJECT_ID, location=TEST_LOCATION
)
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_fetch_job_messages_by_id(self, mock_conn, mock_dataflowjob):
method_fetch_job_messages_by_id = mock_dataflowjob.return_value.fetch_job_messages_by_id
self.dataflow_hook.fetch_job_messages_by_id(
job_id=TEST_JOB_ID, project_id=TEST_PROJECT_ID, location=TEST_LOCATION
)
mock_conn.assert_called_once()
mock_dataflowjob.assert_called_once_with(
dataflow=mock_conn.return_value,
project_number=TEST_PROJECT_ID,
location=TEST_LOCATION,
)
method_fetch_job_messages_by_id.assert_called_once_with(TEST_JOB_ID)
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_fetch_job_autoscaling_events_by_id(self, mock_conn, mock_dataflowjob):
method_fetch_job_autoscaling_events_by_id = (
mock_dataflowjob.return_value.fetch_job_autoscaling_events_by_id
)
self.dataflow_hook.fetch_job_autoscaling_events_by_id(
job_id=TEST_JOB_ID, project_id=TEST_PROJECT_ID, location=TEST_LOCATION
)
mock_conn.assert_called_once()
mock_dataflowjob.assert_called_once_with(
dataflow=mock_conn.return_value,
project_number=TEST_PROJECT_ID,
location=TEST_LOCATION,
)
method_fetch_job_autoscaling_events_by_id.assert_called_once_with(TEST_JOB_ID)
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_wait_for_done(self, mock_conn, mock_dataflowjob):
method_wait_for_done = mock_dataflowjob.return_value.wait_for_done
self.dataflow_hook.wait_for_done(
job_name="JOB_NAME",
project_id=TEST_PROJECT_ID,
job_id=TEST_JOB_ID,
location=TEST_LOCATION,
multiple_jobs=False,
)
mock_conn.assert_called_once()
mock_dataflowjob.assert_called_once_with(
dataflow=mock_conn.return_value,
project_number=TEST_PROJECT_ID,
name="JOB_NAME",
location=TEST_LOCATION,
poll_sleep=self.dataflow_hook.poll_sleep,
job_id=TEST_JOB_ID,
num_retries=self.dataflow_hook.num_retries,
multiple_jobs=False,
drain_pipeline=self.dataflow_hook.drain_pipeline,
cancel_timeout=self.dataflow_hook.cancel_timeout,
wait_until_finished=self.dataflow_hook.wait_until_finished,
)
method_wait_for_done.assert_called_once_with()
class TestDataflowTemplateHook(unittest.TestCase):
def setUp(self):
with mock.patch(BASE_STRING.format('GoogleBaseHook.__init__'), new=mock_init):
self.dataflow_hook = DataflowHook(gcp_conn_id='test')
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'), return_value=MOCK_UUID)
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_start_template_dataflow(self, mock_conn, mock_controller, mock_uuid):
launch_method = (
mock_conn.return_value.projects.return_value.locations.return_value.templates.return_value.launch
)
launch_method.return_value.execute.return_value = {"job": {"id": TEST_JOB_ID}}
variables = {'zone': 'us-central1-f', 'tempLocation': 'gs://test/temp'}
self.dataflow_hook.start_template_dataflow(
job_name=JOB_NAME,
variables=copy.deepcopy(variables),
parameters=PARAMETERS,
dataflow_template=TEST_TEMPLATE,
project_id=TEST_PROJECT,
)
launch_method.assert_called_once_with(
body={
'jobName': f'test-dataflow-pipeline-{MOCK_UUID_PREFIX}',
'parameters': PARAMETERS,
'environment': variables,
},
gcsPath='gs://dataflow-templates/wordcount/template_file',
projectId=TEST_PROJECT,
location=DEFAULT_DATAFLOW_LOCATION,
)
mock_controller.assert_called_once_with(
dataflow=mock_conn.return_value,
job_id='test-job-id',
name=f'test-dataflow-pipeline-{MOCK_UUID_PREFIX}',
num_retries=5,
poll_sleep=10,
project_number=TEST_PROJECT,
location=DEFAULT_DATAFLOW_LOCATION,
drain_pipeline=False,
cancel_timeout=DEFAULT_CANCEL_TIMEOUT,
wait_until_finished=None,
)
mock_controller.return_value.wait_for_done.assert_called_once()
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'), return_value=MOCK_UUID)
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_start_template_dataflow_with_custom_region_as_variable(
self, mock_conn, mock_controller, mock_uuid
):
launch_method = (
mock_conn.return_value.projects.return_value.locations.return_value.templates.return_value.launch
)
launch_method.return_value.execute.return_value = {"job": {"id": TEST_JOB_ID}}
self.dataflow_hook.start_template_dataflow(
job_name=JOB_NAME,
variables={'region': TEST_LOCATION},
parameters=PARAMETERS,
dataflow_template=TEST_TEMPLATE,
project_id=TEST_PROJECT,
)
launch_method.assert_called_once_with(
projectId=TEST_PROJECT,
location=TEST_LOCATION,
gcsPath=TEST_TEMPLATE,
body=mock.ANY,
)
mock_controller.assert_called_once_with(
dataflow=mock_conn.return_value,
job_id=TEST_JOB_ID,
name=UNIQUE_JOB_NAME,
num_retries=5,
poll_sleep=10,
project_number=TEST_PROJECT,
location=TEST_LOCATION,
drain_pipeline=False,
cancel_timeout=DEFAULT_CANCEL_TIMEOUT,
wait_until_finished=None,
)
mock_controller.return_value.wait_for_done.assert_called_once()
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'), return_value=MOCK_UUID)
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_start_template_dataflow_with_custom_region_as_parameter(
self, mock_conn, mock_controller, mock_uuid
):
launch_method = (
mock_conn.return_value.projects.return_value.locations.return_value.templates.return_value.launch
)
launch_method.return_value.execute.return_value = {"job": {"id": TEST_JOB_ID}}
self.dataflow_hook.start_template_dataflow(
job_name=JOB_NAME,
variables={},
parameters=PARAMETERS,
dataflow_template=TEST_TEMPLATE,
location=TEST_LOCATION,
project_id=TEST_PROJECT,
)
launch_method.assert_called_once_with(
body={'jobName': UNIQUE_JOB_NAME, 'parameters': PARAMETERS, 'environment': {}},
gcsPath='gs://dataflow-templates/wordcount/template_file',
projectId=TEST_PROJECT,
location=TEST_LOCATION,
)
mock_controller.assert_called_once_with(
dataflow=mock_conn.return_value,
job_id=TEST_JOB_ID,
name=UNIQUE_JOB_NAME,
num_retries=5,
poll_sleep=10,
project_number=TEST_PROJECT,
location=TEST_LOCATION,
drain_pipeline=False,
cancel_timeout=DEFAULT_CANCEL_TIMEOUT,
wait_until_finished=None,
)
mock_controller.return_value.wait_for_done.assert_called_once()
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'), return_value=MOCK_UUID)
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_start_template_dataflow_with_runtime_env(self, mock_conn, mock_dataflowjob, mock_uuid):
options_with_runtime_env = copy.deepcopy(RUNTIME_ENV)
dataflowjob_instance = mock_dataflowjob.return_value
dataflowjob_instance.wait_for_done.return_value = None
# fmt: off
method = (mock_conn.return_value
.projects.return_value
.locations.return_value
.templates.return_value
.launch)
# fmt: on
method.return_value.execute.return_value = {'job': {'id': TEST_JOB_ID}}
self.dataflow_hook.start_template_dataflow(
job_name=JOB_NAME,
variables=options_with_runtime_env,
parameters=PARAMETERS,
dataflow_template=TEST_TEMPLATE,
project_id=TEST_PROJECT,
environment={"numWorkers": 17},
)
body = {"jobName": mock.ANY, "parameters": PARAMETERS, "environment": RUNTIME_ENV}
method.assert_called_once_with(
projectId=TEST_PROJECT,
location=DEFAULT_DATAFLOW_LOCATION,
gcsPath=TEST_TEMPLATE,
body=body,
)
mock_dataflowjob.assert_called_once_with(
dataflow=mock_conn.return_value,
job_id=TEST_JOB_ID,
location=DEFAULT_DATAFLOW_LOCATION,
name=f'test-dataflow-pipeline-{MOCK_UUID_PREFIX}',
num_retries=5,
poll_sleep=10,
project_number=TEST_PROJECT,
drain_pipeline=False,
cancel_timeout=DEFAULT_CANCEL_TIMEOUT,
wait_until_finished=None,
)
mock_uuid.assert_called_once_with()
@mock.patch(DATAFLOW_STRING.format('uuid.uuid4'), return_value=MOCK_UUID)
@mock.patch(DATAFLOW_STRING.format('_DataflowJobsController'))
@mock.patch(DATAFLOW_STRING.format('DataflowHook.get_conn'))
def test_start_template_dataflow_update_runtime_env(self, mock_conn, mock_dataflowjob, mock_uuid):
options_with_runtime_env = copy.deepcopy(RUNTIME_ENV)
del options_with_runtime_env["numWorkers"]
runtime_env = {"numWorkers": 17}
expected_runtime_env = copy.deepcopy(RUNTIME_ENV)
expected_runtime_env.update(runtime_env)
dataflowjob_instance = mock_dataflowjob.return_value
dataflowjob_instance.wait_for_done.return_value = None
# fmt: off
method = (mock_conn.return_value
.projects.return_value
.locations.return_value
.templates.return_value
.launch)
# fmt: on
method.return_value.execute.return_value = {'job': {'id': TEST_JOB_ID}}
self.dataflow_hook.start_template_dataflow(
job_name=JOB_NAME,
variables=options_with_runtime_env,
parameters=PARAMETERS,
dataflow_template=TEST_TEMPLATE,
project_id=TEST_PROJECT,
environment=runtime_env,
)
body = {"jobName": mock.ANY, "parameters": PARAMETERS, "environment": expected_runtime_env}
method.assert_called_once_with(
projectId=TEST_PROJECT,
location=DEFAULT_DATAFLOW_LOCATION,
gcsPath=TEST_TEMPLATE,
body=body,
)