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# The ASF licenses this file to You under the Apache License, Version 2.0
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# http://www.apache.org/licenses/LICENSE-2.0
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"""Pipeline options validator.
For internal use only; no backwards-compatibility guarantees.
"""
# pytype: skip-file
from __future__ import absolute_import
import logging
import re
from builtins import object
from past.builtins import unicode
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
_LOGGER = logging.getLogger(__name__)
[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 '
'https://developers.google.com/storage/docs/bucketnaming '
'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.')
ERR_INVALID_TRANSFORM_NAME_MAPPING = (
'Invalid transform name mapping format. Please make sure the mapping is '
'string key-value pairs. Invalid pair: (%s:%s)')
# GCS path specific patterns.
GCS_URI = '(?P<SCHEME>[^:]+)://(?P<BUCKET>[^/]+)(/(?P<OBJECT>.*))?'
GCS_BUCKET = '^[a-z0-9][-_a-z0-9.]+[a-z0-9]$'
GCS_SCHEME = 'gs'
# GoogleCloudOptions specific patterns.
JOB_PATTERN = '[a-z]([-a-z0-9]*[a-z0-9])?'
PROJECT_ID_PATTERN = '[a-z][-a-z0-9:.]+[a-z0-9]'
PROJECT_NUMBER_PATTERN = '[0-9]*'
ENDPOINT_PATTERN = r'https://[\S]*googleapis\.com[/]?'
def __init__(self, options, runner):
self.options = options
self.runner = runner
[docs] def validate(self):
"""Calls validate on subclassess and returns a list of errors.
validate will call validate method on subclasses, accumulate the returned
list of errors, and returns the aggregate list.
Returns:
Aggregate list of errors after all calling all possible validate methods.
"""
errors = []
for cls in self.OPTIONS:
if 'validate' in cls.__dict__ and callable(cls.__dict__['validate']):
errors.extend(self.options.view_as(cls).validate(self))
return errors
[docs] def is_service_runner(self):
"""True if pipeline will execute on the Google Cloud Dataflow service."""
is_service_runner = (
self.runner is not None and
type(self.runner).__name__ in ['DataflowRunner', 'TestDataflowRunner'])
dataflow_endpoint = (
self.options.view_as(GoogleCloudOptions).dataflow_endpoint)
is_service_endpoint = (
dataflow_endpoint is not None and
self.is_full_string_match(self.ENDPOINT_PATTERN, dataflow_endpoint))
return is_service_runner and is_service_endpoint
[docs] def is_full_string_match(self, pattern, string):
"""Returns True if the pattern matches the whole string."""
pattern = '^%s$' % pattern
return re.search(pattern, 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 = match.group('SCHEME')
bucket = match.group('BUCKET')
gcs_object = match.group('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))
if view.update:
if not view.job_name:
errors.extend(
self._validate_error(
'Existing job name must be provided when updating a pipeline.'))
if view.transform_name_mapping:
if not view.update or not self.options.view_as(StandardOptions).streaming:
errors.append(
'Transform name mapping option is only useful when '
'--update and --streaming is specified')
for _, (key, value) in enumerate(view.transform_name_mapping.items()):
if not isinstance(key, (str, unicode)) \
or not isinstance(value, (str, unicode)):
errors.extend(
self._validate_error(
self.ERR_INVALID_TRANSFORM_NAME_MAPPING, key, value))
break
if view.region is None and self.is_service_runner():
default_region = self.runner.get_default_gcp_region()
if default_region is None:
errors.extend(self._validate_error(self.ERR_MISSING_OPTION, 'region'))
else:
view.region = default_region
return errors
[docs] def validate_worker_region_zone(self, view):
"""Validates Dataflow worker region and zone arguments are consistent."""
errors = []
if view.zone and (view.worker_region or view.worker_zone):
errors.extend(
self._validate_error(
'Cannot use deprecated flag --zone along with worker_region or '
'worker_zone.'))
if self.options.view_as(DebugOptions).lookup_experiment('worker_region')\
and (view.worker_region or view.worker_zone):
errors.extend(
self._validate_error(
'Cannot use deprecated experiment worker_region along with '
'worker_region or worker_zone.'))
if view.worker_region and view.worker_zone:
errors.extend(
self._validate_error(
'worker_region and worker_zone are mutually exclusive.'))
if view.zone:
_LOGGER.warning(
'Option --zone is deprecated. Please use --worker_zone instead.')
view.worker_zone = view.zone
view.zone = None
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