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Executor test #21

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Executor test #21

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242 changes: 82 additions & 160 deletions component/executor_test.py
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# Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed 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
#
# Unless required by applicable law or agreed to in writing, software
# 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
# limitations under the License.
"""Tests for tfx.components.custom.executor."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os
import tempfile
import tensorflow as tf
from tfx import types
import executor
from tfx.types import standard_artifacts
from tfx.dsl.io import fileio
from tfx.types import artifact_utils
from tfx.utils import io_utils
from tfx.components.util import udf_utils
from tfx.types import standard_component_specs
from tfx.components.testdata.module_file import transform_module
import tensorflow_transform as tft



class ExecutorTest(tf.test.TestCase):
def _get_output_data_dir(self, sub_dir=None):
test_dir = self._testMethodName
if sub_dir is not None:
test_dir = os.path.join(test_dir, sub_dir)
return os.path.join(
os.environ.get('TEST_UNDECLARED_OUTPUTS_DIR', self.get_temp_dir()),
test_dir)

def _make_base_do_params(self, source_data_dir, output_data_dir):
# Create input dict.
schema_artifact = standard_artifacts.Schema()
schema_artifact.uri = os.path.join(source_data_dir, 'schema_gen/')

self._input_dict = {
'schema': [schema_artifact],
}

# Create output dict.
self._output = standard_artifacts.TransformGraph()
self._output.uri = os.path.join(output_data_dir,
'custom_output')
temp_path_output = types.Artifact
temp_path_output.uri = tempfile.mkdtemp()

self._output_dict = {
'custom_output': [self._output],
'temp_path': [temp_path_output],
}

# Create exec properties skeleton.
self._exec_properties = {}


def setUp(self):
super(ExecutorTest, self).setUp()

self._source_data_dir = os.path.join(
os.path.dirname(os.path.dirname(__file__)), 'testdata')
self._output_data_dir = self._get_output_data_dir()

self._make_base_do_params(self._source_data_dir, self._output_data_dir)

# Create exec properties skeleton.
self._module_file = os.path.join(self._source_data_dir,
'module_file/custom_module.py')
self._preprocessing_fn = '%s.%s' % (
transform_module.preprocessing_fn.__module__,
transform_module.preprocessing_fn.__name__)

# Executor for test.
self._custom_executor = executor.Executor()

def _verify_outputs(self):
path_to_saved_model = os.path.join(
self._output.uri, tft.TFTransformOutput.TRANSFORM_FN_DIR,
tf.saved_model.SAVED_MODEL_FILENAME_PB)
self.assertTrue(tf.io.gfile.exists(path_to_saved_model))

def testDoWithModuleFile(self):
self._exec_properties['module_file'] = self._module_file
self._custom_executor.Do(self._input_dict, self._output_dict,
self._exec_properties)
self._verify_outputs()

def testDoWithPreprocessingFn(self):
self._exec_properties['preprocessing_fn'] = self._preprocessing_fn
self._custom_executor.Do(self._input_dict, self._output_dict,
self._exec_properties)
self._verify_outputs()

def testDoWithNoPreprocessingFn(self):
with self.assertRaises(ValueError):
self._custom_executor.Do(self._input_dict, self._output_dict,
self._exec_properties)

def testDoWithDuplicatePreprocessingFn(self):
self._exec_properties['module_file'] = self._module_file
self._exec_properties['preprocessing_fn'] = self._preprocessing_fn
with self.assertRaises(ValueError):
self._custom_executor.Do(self._input_dict, self._output_dict,
self._exec_properties)

def testDoWithCache(self):
# First run that creates cache.
output_cache_artifact = types.Artifact('OutputCache')
output_cache_artifact.uri = os.path.join(self._output_data_dir, 'CACHE/')

self._output_dict['cache_output_path'] = [output_cache_artifact]

self._exec_properties['module_file'] = self._module_file
self._custom_executor.Do(self._input_dict, self._output_dict,
self._exec_properties)
self._verify_outputs()
self.assertNotEqual(0,
len(tf.io.gfile.listdir(output_cache_artifact.uri)))

# Second run from cache.
self._output_data_dir = self._get_output_data_dir('2nd_run')
input_cache_artifact = types.Artifact('InputCache')
input_cache_artifact.uri = output_cache_artifact.uri

output_cache_artifact = types.Artifact('OutputCache')
output_cache_artifact.uri = os.path.join(self._output_data_dir, 'CACHE/')

self._make_base_do_params(self._source_data_dir, self._output_data_dir)

self._input_dict['cache_input_path'] = [input_cache_artifact]
self._output_dict['cache_output_path'] = [output_cache_artifact]

self._exec_properties['module_file'] = self._module_file
self._custom_executor.Do(self._input_dict, self._output_dict,
self._exec_properties)

self._verify_outputs()
self.assertNotEqual(0,
len(tf.io.gfile.listdir(output_cache_artifact.uri)))






if __name__ == '__main__':
tf.test.main()
# Lint as: python2, python3
# Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed 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
#
# Unless required by applicable law or agreed to in writing, software
# 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
# limitations under the License.
"""Tests for tfx.components.schemaCuration.executor."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os
from typing import Text
from six import string_types

import tensorflow as tf
import executor
from tfx.dsl.io import fileio
from tfx.types import artifact_utils
from tfx.types import standard_artifacts
from tfx.types import standard_component_specs
from tfx.utils import json_utils
import sys
sys.path.append('.')

from schemacomponent.test_data.module_file import module_file

class ExecutorTest(tf.test.TestCase):

def testDo(self):
super(ExecutorTest, self).setUp()
self._source_data_dir = os.path.join('schemacomponent', 'test_data')
self._output_data_dir = os.path.join(
os.environ.get('TEST_UNDECLARED_OUTPUTS_DIR', self.get_temp_dir()),
self._testMethodName)

schema = standard_artifacts.Schema()
schema.uri = os.path.join(self._source_data_dir, 'schema_gen')

input_dict = {

standard_component_specs.SCHEMA_KEY: [schema],
}

schema_output = standard_artifacts.Schema()
schema_output.uri = os.path.join(self._output_data_dir, 'custom_schema')

output_dict = {
'custom_schema': [schema_output],
}


_module_file = os.path.join(self._source_data_dir,
standard_component_specs.MODULE_FILE_KEY,
'module_file.py')
schema_fn = '%s.%s' % (module_file.schema_fn.__module__,
module_file.schema_fn.__name__)

print(_module_file)
exec_properties = {
standard_component_specs.MODULE_FILE_KEY : _module_file

}

schemaCuration_executor = executor.Executor()

schemaCuration_executor.Do(input_dict, output_dict, exec_properties)

self.assertNotEqual(0, len(fileio.listdir(schema_output.uri)))


if __name__ == '__main__':
tf.test.main()