61 lines
2.0 KiB
Python
61 lines
2.0 KiB
Python
# Copyright 2018 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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def python_component(name, description, base_image):
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"""Decorator of component functions.
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Usage:
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```python
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@dsl.python_component(
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name='my awesome component',
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description='Come, Let's play'
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base_image='tensorflow/tensorflow'
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)
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def my_component(a: str, b: int) -> str:
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...
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```
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"""
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def _python_component(func):
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PythonComponent.add_python_component(name, description, base_image, func)
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return func
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return _python_component
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class PythonComponent():
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"""A pipeline contains a list of operators.
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This class is not supposed to be used by component authors since component authors can use
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component functions (decorated with @python_component) to reference their pipelines. This class
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is useful for implementing a compiler. For example, the compiler can use the following
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to get the PythonComponent object:
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"""
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# All pipeline functions with @pipeline decorator that are imported.
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# Each key is a pipeline function. Each value is a dictionary of name, description, base_image.
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_component_functions = {}
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@staticmethod
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def add_python_component(name, description, base_image, func):
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""" Add a python component """
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PythonComponent._component_functions[func] = {
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'name': name,
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'description': description,
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'base_image': base_image
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}
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@staticmethod
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def get_python_component(func):
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""" Get a python component """
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return PythonComponent._component_functions.get(func, None) |