# -- coding: utf-8 --
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"""Unit tests for the transform.environments classes."""

from __future__ import absolute_import

import logging
import unittest

from apache_beam.runners import pipeline_context
from apache_beam.transforms.environments import DockerEnvironment
from apache_beam.transforms.environments import EmbeddedPythonEnvironment
from apache_beam.transforms.environments import EmbeddedPythonGrpcEnvironment
from apache_beam.transforms.environments import Environment
from apache_beam.transforms.environments import ExternalEnvironment
from apache_beam.transforms.environments import ProcessEnvironment
from apache_beam.transforms.environments import SubprocessSDKEnvironment


class RunnerApiTest(unittest.TestCase):

  def test_environment_encoding(self):
    for environment in (
        DockerEnvironment(),
        DockerEnvironment(container_image='img'),
        ProcessEnvironment('run.sh'),
        ProcessEnvironment('run.sh', os='linux', arch='amd64',
                           env={'k1': 'v1'}),
        ExternalEnvironment('localhost:8080'),
        ExternalEnvironment('localhost:8080', params={'k1': 'v1'}),
        EmbeddedPythonEnvironment(),
        EmbeddedPythonGrpcEnvironment(),
        EmbeddedPythonGrpcEnvironment(num_workers=2, state_cache_size=0),
        SubprocessSDKEnvironment(command_string=u'foö')):
      context = pipeline_context.PipelineContext()
      self.assertEqual(
          environment,
          Environment.from_runner_api(
              environment.to_runner_api(context), context)
      )

    with self.assertRaises(ValueError) as ctx:
      EmbeddedPythonGrpcEnvironment(num_workers=2).to_runner_api(
          pipeline_context.PipelineContext()
      )
    self.assertIn('Must provide worker num and state cache size.',
                  ctx.exception.args)


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