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component_utils.py
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component_utils.py
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# Lint as: python3
# Copyright 2020 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.
"""Utils for TFX component types. Intended for internal usage only."""
from typing import Any, Callable, Dict, Optional, Text
from tfx import types
from tfx.dsl.components.base import base_component
from tfx.dsl.components.base import executor_spec as base_executor_spec
from tfx.types import component_spec
def create_tfx_component_class(
name: Text,
tfx_executor_spec: base_executor_spec.ExecutorSpec,
input_channel_parameters: Dict[Text,
component_spec.ChannelParameter] = None,
output_channel_parameters: Dict[Text,
component_spec.ChannelParameter] = None,
execution_parameters: Dict[Text, component_spec.ExecutionParameter] = None,
default_init_args: Optional[Dict[Text, Any]] = None
) -> Callable[..., base_component.BaseComponent]:
"""Creates a TFX component class dynamically."""
tfx_component_spec_class = type(
str(name) + 'Spec',
(component_spec.ComponentSpec,),
dict(
PARAMETERS=execution_parameters,
INPUTS=input_channel_parameters,
OUTPUTS=output_channel_parameters,
),
)
def tfx_component_class_init(self, **kwargs):
instance_name = kwargs.pop('instance_name', None)
arguments = {}
arguments.update(kwargs)
arguments.update(default_init_args)
# Provide default values for output channels.
output_channel_params = output_channel_parameters or {}
for output_key, output_channel_param in output_channel_params.items():
if output_key not in arguments:
arguments[output_key] = types.Channel(type=output_channel_param.type)
base_component.BaseComponent.__init__(
self,
# Generate spec by wiring up the input/output channel.
spec=self.__class__.SPEC_CLASS(**arguments),
instance_name=instance_name,
)
tfx_component_class = type(
str(name),
(base_component.BaseComponent,),
dict(
SPEC_CLASS=tfx_component_spec_class,
EXECUTOR_SPEC=tfx_executor_spec,
__init__=tfx_component_class_init,
),
)
return tfx_component_class