Source code for apache_beam.options.pipeline_options_validator

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"""Pipeline options validator.

For internal use only; no backwards-compatibility guarantees.
import re

from apache_beam.internal import pickler
from apache_beam.options.pipeline_options import DebugOptions
from apache_beam.options.pipeline_options import GoogleCloudOptions
from apache_beam.options.pipeline_options import SetupOptions
from apache_beam.options.pipeline_options import StandardOptions
from apache_beam.options.pipeline_options import TestOptions
from apache_beam.options.pipeline_options import TypeOptions
from apache_beam.options.pipeline_options import WorkerOptions

[docs]class PipelineOptionsValidator(object): """Validates PipelineOptions. Goes through a list of known PipelineOption subclassess and calls:: validate(validator) if one is implemented. Aggregates a list of validation errors from all and returns an aggregated list. """ # Validator will call validate on these subclasses of PipelineOptions OPTIONS = [DebugOptions, GoogleCloudOptions, SetupOptions, StandardOptions, TypeOptions, WorkerOptions, TestOptions] # Possible validation errors. ERR_MISSING_OPTION = 'Missing required option: %s.' ERR_MISSING_GCS_PATH = 'Missing GCS path option: %s.' ERR_INVALID_GCS_PATH = 'Invalid GCS path (%s), given for the option: %s.' ERR_INVALID_GCS_BUCKET = ( 'Invalid GCS bucket (%s), given for the option: %s. See ' ' ' 'for more details.') ERR_INVALID_GCS_OBJECT = 'Invalid GCS object (%s), given for the option: %s.' ERR_INVALID_JOB_NAME = ( 'Invalid job_name (%s); the name must consist of only the characters ' '[-a-z0-9], starting with a letter and ending with a letter or number') ERR_INVALID_PROJECT_NUMBER = ( 'Invalid Project ID (%s). Please make sure you specified the Project ID, ' 'not project number.') ERR_INVALID_PROJECT_ID = ( 'Invalid Project ID (%s). Please make sure you specified the Project ID, ' 'not project description.') ERR_INVALID_NOT_POSITIVE = ('Invalid value (%s) for option: %s. Value needs ' 'to be positive.') ERR_INVALID_TEST_MATCHER_TYPE = ( 'Invalid value (%s) for option: %s. Please extend your matcher object ' 'from hamcrest.core.base_matcher.BaseMatcher.') ERR_INVALID_TEST_MATCHER_UNPICKLABLE = ( 'Invalid value (%s) for option: %s. Please make sure the test matcher ' 'is unpicklable.') # GCS path specific patterns. GCS_URI = '(?P<SCHEME>[^:]+)://(?P<BUCKET>[^/]+)(/(?P<OBJECT>.*))?' GCS_BUCKET = '^[a-z0-9][-_a-z0-9.]+[a-z0-9]$' GCS_SCHEME = 'gs' # GoogleCloudOptions specific patterns. JOB_PATTERN = '[a-z]([-a-z0-9]*[a-z0-9])?' PROJECT_ID_PATTERN = '[a-z][-a-z0-9:.]+[a-z0-9]' PROJECT_NUMBER_PATTERN = '[0-9]*' ENDPOINT_PATTERN = r'https://[\S]*googleapis\.com[/]?' def __init__(self, options, runner): self.options = options self.runner = runner
[docs] def validate(self): """Calls validate on subclassess and returns a list of errors. validate will call validate method on subclasses, accumulate the returned list of errors, and returns the aggregate list. Returns: Aggregate list of errors after all calling all possible validate methods. """ errors = [] for cls in self.OPTIONS: if 'validate' in cls.__dict__: errors.extend(self.options.view_as(cls).validate(self)) return errors
[docs] def is_service_runner(self): """True if pipeline will execute on the Google Cloud Dataflow service.""" is_service_runner = (self.runner is not None and type(self.runner).__name__ in [ 'DataflowRunner', 'TestDataflowRunner']) dataflow_endpoint = ( self.options.view_as(GoogleCloudOptions).dataflow_endpoint) is_service_endpoint = (dataflow_endpoint is not None and self.is_full_string_match( self.ENDPOINT_PATTERN, dataflow_endpoint)) return is_service_runner and is_service_endpoint
[docs] def is_full_string_match(self, pattern, string): """Returns True if the pattern matches the whole string.""" pattern = '^%s$' % pattern return, string) is not None
def _validate_error(self, err, *args): return [err % args]
[docs] def validate_gcs_path(self, view, arg_name): """Validates a GCS path against gs://bucket/object URI format.""" arg = getattr(view, arg_name, None) if arg is None: return self._validate_error(self.ERR_MISSING_GCS_PATH, arg_name) match = re.match(self.GCS_URI, arg, re.DOTALL) if match is None: return self._validate_error(self.ERR_INVALID_GCS_PATH, arg, arg_name) scheme ='SCHEME') bucket ='BUCKET') gcs_object ='OBJECT') if ((scheme is None) or (scheme.lower() != self.GCS_SCHEME) or (bucket is None)): return self._validate_error(self.ERR_INVALID_GCS_PATH, arg, arg_name) if not self.is_full_string_match(self.GCS_BUCKET, bucket): return self._validate_error(self.ERR_INVALID_GCS_BUCKET, arg, arg_name) if gcs_object is None or '\n' in gcs_object or '\r' in gcs_object: return self._validate_error(self.ERR_INVALID_GCS_OBJECT, arg, arg_name) return []
[docs] def validate_cloud_options(self, view): """Validates job_name and project arguments.""" errors = [] if (view.job_name and not self.is_full_string_match(self.JOB_PATTERN, view.job_name)): errors.extend(self._validate_error(self.ERR_INVALID_JOB_NAME, view.job_name)) project = view.project if project is None: errors.extend(self._validate_error(self.ERR_MISSING_OPTION, 'project')) else: if self.is_full_string_match(self.PROJECT_NUMBER_PATTERN, project): errors.extend( self._validate_error(self.ERR_INVALID_PROJECT_NUMBER, project)) elif not self.is_full_string_match(self.PROJECT_ID_PATTERN, project): errors.extend( self._validate_error(self.ERR_INVALID_PROJECT_ID, project)) return errors
[docs] def validate_optional_argument_positive(self, view, arg_name): """Validates that an optional argument (if set) has a positive value.""" arg = getattr(view, arg_name, None) if arg is not None and int(arg) <= 0: return self._validate_error(self.ERR_INVALID_NOT_POSITIVE, arg, arg_name) return []
[docs] def validate_test_matcher(self, view, arg_name): """Validates that on_success_matcher argument if set. Validates that on_success_matcher is unpicklable and is instance of `hamcrest.core.base_matcher.BaseMatcher`. """ # This is a test only method and requires hamcrest from hamcrest.core.base_matcher import BaseMatcher pickled_matcher = view.on_success_matcher errors = [] try: matcher = pickler.loads(pickled_matcher) if not isinstance(matcher, BaseMatcher): errors.extend( self._validate_error( self.ERR_INVALID_TEST_MATCHER_TYPE, matcher, arg_name)) except: # pylint: disable=bare-except errors.extend( self._validate_error( self.ERR_INVALID_TEST_MATCHER_UNPICKLABLE, pickled_matcher, arg_name)) return errors