#
# 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
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# 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
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"""Unit tests for the pipeline options validator module."""

from __future__ import absolute_import

import logging
import unittest
from builtins import object

from hamcrest import assert_that
from hamcrest import contains_string
from hamcrest import only_contains
from hamcrest.core.base_matcher import BaseMatcher

from apache_beam.internal import pickler
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options_validator import PipelineOptionsValidator


# Mock runners to use for validations.
class MockRunners(object):

  class DataflowRunner(object):
    pass

  class TestDataflowRunner(object):
    pass

  class OtherRunner(object):
    pass


# Matcher that always passes for testing on_success_matcher option
class AlwaysPassMatcher(BaseMatcher):

  def _matches(self, item):
    return True


class SetupTest(unittest.TestCase):

  def check_errors_for_arguments(self, errors, args):
    """Checks that there is exactly one error for each given argument."""
    missing = []
    remaining = list(errors)

    for arg in args:
      found = False
      for error in remaining:
        if arg in error:
          remaining.remove(error)
          found = True
          break
      if not found:
        missing.append('Missing error for: ' + arg)

    # Return missing and remaining (not matched) errors.
    return missing + remaining

  def test_local_runner(self):
    runner = MockRunners.OtherRunner()
    options = PipelineOptions([])
    validator = PipelineOptionsValidator(options, runner)
    errors = validator.validate()
    self.assertEqual(len(errors), 0)

  def test_missing_required_options(self):
    options = PipelineOptions([''])
    runner = MockRunners.DataflowRunner()
    validator = PipelineOptionsValidator(options, runner)
    errors = validator.validate()

    self.assertEqual(
        self.check_errors_for_arguments(
            errors,
            ['project', 'staging_location', 'temp_location']),
        [])

  def test_gcs_path(self):
    def get_validator(temp_location, staging_location):
      options = ['--project=example:example', '--job_name=job']

      if temp_location is not None:
        options.append('--temp_location=' + temp_location)

      if staging_location is not None:
        options.append('--staging_location=' + staging_location)

      pipeline_options = PipelineOptions(options)
      runner = MockRunners.DataflowRunner()
      validator = PipelineOptionsValidator(pipeline_options, runner)
      return validator

    test_cases = [
        {'temp_location': None,
         'staging_location': 'gs://foo/bar',
         'errors': ['temp_location']},
        {'temp_location': None,
         'staging_location': None,
         'errors': ['staging_location', 'temp_location']},
        {'temp_location': 'gs://foo/bar',
         'staging_location': None,
         'errors': []},
        {'temp_location': 'gs://foo/bar',
         'staging_location': 'gs://ABC/bar',
         'errors': ['staging_location']},
        {'temp_location': 'gcs:/foo/bar',
         'staging_location': 'gs://foo/bar',
         'errors': ['temp_location']},
        {'temp_location': 'gs:/foo/bar',
         'staging_location': 'gs://foo/bar',
         'errors': ['temp_location']},
        {'temp_location': 'gs://ABC/bar',
         'staging_location': 'gs://foo/bar',
         'errors': ['temp_location']},
        {'temp_location': 'gs://ABC/bar',
         'staging_location': 'gs://foo/bar',
         'errors': ['temp_location']},
        {'temp_location': 'gs://foo',
         'staging_location': 'gs://foo/bar',
         'errors': ['temp_location']},
        {'temp_location': 'gs://foo/',
         'staging_location': 'gs://foo/bar',
         'errors': []},
        {'temp_location': 'gs://foo/bar',
         'staging_location': 'gs://foo/bar',
         'errors': []},
    ]

    for case in test_cases:
      errors = get_validator(case['temp_location'],
                             case['staging_location']).validate()
      self.assertEqual(
          self.check_errors_for_arguments(errors, case['errors']), [])

  def test_project(self):
    def get_validator(project):
      options = ['--job_name=job', '--staging_location=gs://foo/bar',
                 '--temp_location=gs://foo/bar']

      if project is not None:
        options.append('--project=' + project)

      pipeline_options = PipelineOptions(options)
      runner = MockRunners.DataflowRunner()
      validator = PipelineOptionsValidator(pipeline_options, runner)
      return validator

    test_cases = [
        {'project': None, 'errors': ['project']},
        {'project': '12345', 'errors': ['project']},
        {'project': 'FOO', 'errors': ['project']},
        {'project': 'foo:BAR', 'errors': ['project']},
        {'project': 'fo', 'errors': ['project']},
        {'project': 'foo', 'errors': []},
        {'project': 'foo:bar', 'errors': []},
    ]

    for case in test_cases:
      errors = get_validator(case['project']).validate()
      self.assertEqual(
          self.check_errors_for_arguments(errors, case['errors']), [])

  def test_job_name(self):
    def get_validator(job_name):
      options = ['--project=example:example', '--staging_location=gs://foo/bar',
                 '--temp_location=gs://foo/bar']

      if job_name is not None:
        options.append('--job_name=' + job_name)

      pipeline_options = PipelineOptions(options)
      runner = MockRunners.DataflowRunner()
      validator = PipelineOptionsValidator(pipeline_options, runner)
      return validator

    test_cases = [
        {'job_name': None, 'errors': []},
        {'job_name': '12345', 'errors': ['job_name']},
        {'job_name': 'FOO', 'errors': ['job_name']},
        {'job_name': 'foo:bar', 'errors': ['job_name']},
        {'job_name': 'fo', 'errors': []},
        {'job_name': 'foo', 'errors': []},
    ]

    for case in test_cases:
      errors = get_validator(case['job_name']).validate()
      self.assertEqual(
          self.check_errors_for_arguments(errors, case['errors']), [])

  def test_num_workers(self):
    def get_validator(num_workers):
      options = ['--project=example:example', '--job_name=job',
                 '--staging_location=gs://foo/bar',
                 '--temp_location=gs://foo/bar']

      if num_workers is not None:
        options.append('--num_workers=' + num_workers)

      pipeline_options = PipelineOptions(options)
      runner = MockRunners.DataflowRunner()
      validator = PipelineOptionsValidator(pipeline_options, runner)
      return validator

    test_cases = [
        {'num_workers': None, 'errors': []},
        {'num_workers': '1', 'errors': []},
        {'num_workers': '0', 'errors': ['num_workers']},
        {'num_workers': '-1', 'errors': ['num_workers']},
    ]

    for case in test_cases:
      errors = get_validator(case['num_workers']).validate()
      self.assertEqual(
          self.check_errors_for_arguments(errors, case['errors']), [])

  def test_is_service_runner(self):
    test_cases = [
        {
            'runner': MockRunners.OtherRunner(),
            'options': [],
            'expected': False,
        },
        {
            'runner': MockRunners.OtherRunner(),
            'options': ['--dataflow_endpoint=https://dataflow.googleapis.com'],
            'expected': False,
        },
        {
            'runner': MockRunners.OtherRunner(),
            'options': ['--dataflow_endpoint=https://dataflow.googleapis.com/'],
            'expected': False,
        },
        {
            'runner': MockRunners.DataflowRunner(),
            'options': ['--dataflow_endpoint=https://another.service.com'],
            'expected': False,
        },
        {
            'runner': MockRunners.DataflowRunner(),
            'options': ['--dataflow_endpoint=https://another.service.com/'],
            'expected': False,
        },
        {
            'runner': MockRunners.DataflowRunner(),
            'options': ['--dataflow_endpoint=https://dataflow.googleapis.com'],
            'expected': True,
        },
        {
            'runner': MockRunners.DataflowRunner(),
            'options': ['--dataflow_endpoint=https://dataflow.googleapis.com/'],
            'expected': True,
        },
        {
            'runner': MockRunners.DataflowRunner(),
            'options': [],
            'expected': True,
        },
    ]

    for case in test_cases:
      validator = PipelineOptionsValidator(
          PipelineOptions(case['options']), case['runner'])
      self.assertEqual(validator.is_service_runner(), case['expected'])

  def test_dataflow_job_file_and_template_location_mutually_exclusive(self):
    runner = MockRunners.OtherRunner()
    options = PipelineOptions([
        '--template_location', 'abc',
        '--dataflow_job_file', 'def'
    ])
    validator = PipelineOptionsValidator(options, runner)
    errors = validator.validate()
    self.assertTrue(errors)

  def test_validate_template_location(self):
    runner = MockRunners.OtherRunner()
    options = PipelineOptions([
        '--template_location', 'abc',
    ])
    validator = PipelineOptionsValidator(options, runner)
    errors = validator.validate()
    self.assertFalse(errors)

  def test_validate_dataflow_job_file(self):
    runner = MockRunners.OtherRunner()
    options = PipelineOptions([
        '--dataflow_job_file', 'abc'
    ])
    validator = PipelineOptionsValidator(options, runner)
    errors = validator.validate()
    self.assertFalse(errors)

  def test_test_matcher(self):
    def get_validator(matcher):
      options = ['--project=example:example',
                 '--job_name=job',
                 '--staging_location=gs://foo/bar',
                 '--temp_location=gs://foo/bar',]
      if matcher:
        options.append('%s=%s' % ('--on_success_matcher', matcher.decode()))

      pipeline_options = PipelineOptions(options)
      runner = MockRunners.TestDataflowRunner()
      return PipelineOptionsValidator(pipeline_options, runner)

    test_case = [
        {'on_success_matcher': None,
         'errors': []},
        {'on_success_matcher': pickler.dumps(AlwaysPassMatcher()),
         'errors': []},
        {'on_success_matcher': b'abc',
         'errors': ['on_success_matcher']},
        {'on_success_matcher': pickler.dumps(object),
         'errors': ['on_success_matcher']},
    ]

    for case in test_case:
      errors = get_validator(case['on_success_matcher']).validate()
      self.assertEqual(
          self.check_errors_for_arguments(errors, case['errors']), [])

  def test_transform_name_mapping_without_update(self):
    options = ['--project=example:example',
               '--staging_location=gs://foo/bar',
               '--temp_location=gs://foo/bar',
               '--transform_name_mapping={\"fromPardo\":\"toPardo\"}']

    pipeline_options = PipelineOptions(options)
    runner = MockRunners.DataflowRunner()
    validator = PipelineOptionsValidator(pipeline_options, runner)
    errors = validator.validate()
    assert_that(errors, only_contains(
        contains_string('Transform name mapping option is only useful when '
                        '--update and --streaming is specified')))

  def test_transform_name_mapping_invalid_format(self):
    options = ['--project=example:example',
               '--staging_location=gs://foo/bar',
               '--temp_location=gs://foo/bar',
               '--update',
               '--job_name=test',
               '--streaming',
               '--transform_name_mapping={\"fromPardo\":123}']

    pipeline_options = PipelineOptions(options)
    runner = MockRunners.DataflowRunner()
    validator = PipelineOptionsValidator(pipeline_options, runner)
    errors = validator.validate()
    assert_that(errors, only_contains(
        contains_string('Invalid transform name mapping format.')))


if __name__ == '__main__':
  logging.getLogger().setLevel(logging.INFO)
  unittest.main()
