Source code for apache_beam.testing.test_pipeline

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"""Test Pipeline, a wrapper of Pipeline for test purpose"""

# pytype: skip-file

import argparse
import shlex
from unittest import SkipTest

from apache_beam.internal import pickler
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.pipeline import Pipeline
from apache_beam.runners.runner import PipelineState

__all__ = [

[docs]class TestPipeline(Pipeline): """:class:`TestPipeline` class is used inside of Beam tests that can be configured to run against pipeline runner. It has a functionality to parse arguments from command line and build pipeline options for tests who runs against a pipeline runner and utilizes resources of the pipeline runner. Those test functions are recommended to be tagged by ``@pytest.mark.it_validatesrunner`` annotation. In order to configure the test with customized pipeline options from command line, system argument ``--test-pipeline-options`` can be used to obtains a list of pipeline options. If no options specified, default value will be used. For example, use following command line to execute all ValidatesRunner tests:: pytest -m it_validatesrunner \\ --test-pipeline-options="--runner=DirectRunner \\ --job_name=myJobName \\ --num_workers=1" For example, use assert_that for test validation:: with TestPipeline() as pipeline: pcoll = ... assert_that(pcoll, equal_to(...)) """ # Command line options read in by pytest. # If this is not None, will use as default value for --test-pipeline-options. pytest_test_pipeline_options = None def __init__( self, runner=None, options=None, argv=None, is_integration_test=False, blocking=True, additional_pipeline_args=None): """Initialize a pipeline object for test. Args: runner (~apache_beam.runners.runner.PipelineRunner): An object of type :class:`~apache_beam.runners.runner.PipelineRunner` that will be used to execute the pipeline. For registered runners, the runner name can be specified, otherwise a runner object must be supplied. options (~apache_beam.options.pipeline_options.PipelineOptions): A configured :class:`~apache_beam.options.pipeline_options.PipelineOptions` object containing arguments that should be used for running the pipeline job. argv (List[str]): A list of arguments (such as :data:`sys.argv`) to be used for building a :class:`~apache_beam.options.pipeline_options.PipelineOptions` object. This will only be used if argument **options** is :data:`None`. is_integration_test (bool): :data:`True` if the test is an integration test, :data:`False` otherwise. blocking (bool): Run method will wait until pipeline execution is completed. additional_pipeline_args (List[str]): additional pipeline arguments to be included when construction the pipeline options object. Raises: ValueError: if either the runner or options argument is not of the expected type. """ self.is_integration_test = is_integration_test self.not_use_test_runner_api = False additional_pipeline_args = additional_pipeline_args or [] self.options_list = ( self._parse_test_option_args(argv) + additional_pipeline_args) self.blocking = blocking if options is None: options = PipelineOptions(self.options_list) super().__init__(runner, options)
[docs] def run(self, test_runner_api=True): result = super().run( test_runner_api=( False if self.not_use_test_runner_api else test_runner_api)) if self.blocking: state = result.wait_until_finish() assert state in (PipelineState.DONE, PipelineState.CANCELLED), \ "Pipeline execution failed." return result
[docs] def get_pipeline_options(self): return self._options
def _parse_test_option_args(self, argv): """Parse value of command line argument: --test-pipeline-options to get pipeline options. Args: argv: An iterable of command line arguments to be used. If not specified then sys.argv will be used as input for parsing arguments. Returns: An argument list of options that can be parsed by argparser or directly build a pipeline option. """ parser = argparse.ArgumentParser() parser.add_argument( '--test-pipeline-options', type=str, action='store', help='only run tests providing service options') parser.add_argument( '--not-use-test-runner-api', action='store_true', default=False, help='whether not to use test-runner-api') known, unused_argv = parser.parse_known_args(argv) test_pipeline_options = known.test_pipeline_options or \ TestPipeline.pytest_test_pipeline_options if self.is_integration_test and not test_pipeline_options: # Skip integration test when argument '--test-pipeline-options' is not # specified since nose calls integration tests when runs unit test by # ' test'. raise SkipTest( 'IT is skipped because --test-pipeline-options ' 'is not specified') self.not_use_test_runner_api = known.not_use_test_runner_api return shlex.split(test_pipeline_options) \ if test_pipeline_options else []
[docs] def get_full_options_as_args(self, **extra_opts): """Get full pipeline options as an argument list. Append extra pipeline options to existing option list if provided. Test verifier (if contains in extra options) should be pickled before appending, and will be unpickled later in the TestRunner. """ options = list(self.options_list) for k, v in extra_opts.items(): if not v: continue elif isinstance(v, bool) and v: options.append('--%s' % k) elif 'matcher' in k: options.append('--%s=%s' % (k, pickler.dumps(v).decode())) else: options.append('--%s=%s' % (k, v)) return options
[docs] def get_option(self, opt_name, bool_option=False): """Get a pipeline option value by name Args: opt_name: The name of the pipeline option. Returns: None if option is not found in existing option list which is generated by parsing value of argument `test-pipeline-options`. """ parser = argparse.ArgumentParser() opt_name = opt_name[:2] if opt_name[:2] == '--' else opt_name # Option name should start with '--' when it's used for parsing. if bool_option: parser.add_argument('--' + opt_name, action='store_true') else: parser.add_argument('--' + opt_name, type=str, action='store') known, _ = parser.parse_known_args(self.options_list) return getattr(known, opt_name) if hasattr(known, opt_name) else None