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Because we use `id` as a hash and as_optional() creates a new object then this check [1] will not pass, and we'd instead go and fall through to [2], which does not add the pipeline run context. PiperOrigin-RevId: 625736342
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# Copyright 2024 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. | ||
"""Compiles NodeContexts.""" | ||
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||
from tfx.dsl.compiler import compiler_context | ||
from tfx.dsl.compiler import compiler_utils | ||
from tfx.dsl.compiler import constants | ||
from tfx.orchestration import pipeline | ||
from tfx.proto.orchestration import pipeline_pb2 | ||
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||
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def compile_node_contexts( | ||
pipeline_ctx: compiler_context.PipelineContext, | ||
node_id: str, | ||
) -> pipeline_pb2.NodeContexts: | ||
"""Compiles the node contexts of a pipeline node.""" | ||
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if pipeline_ctx.pipeline_info is None: | ||
return pipeline_pb2.NodeContexts() | ||
if maybe_contexts := pipeline_ctx.node_context_protos_cache.get(node_id): | ||
return maybe_contexts | ||
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node_contexts = pipeline_pb2.NodeContexts() | ||
# Context for the pipeline, across pipeline runs. | ||
pipeline_context_pb = node_contexts.contexts.add() | ||
pipeline_context_pb.type.name = constants.PIPELINE_CONTEXT_TYPE_NAME | ||
pipeline_context_pb.name.field_value.string_value = ( | ||
pipeline_ctx.pipeline_info.pipeline_context_name | ||
) | ||
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# Context for the current pipeline run. | ||
if pipeline_ctx.is_sync_mode: | ||
pipeline_run_context_pb = node_contexts.contexts.add() | ||
pipeline_run_context_pb.type.name = constants.PIPELINE_RUN_CONTEXT_TYPE_NAME | ||
# TODO(kennethyang): Miragte pipeline run id to structural_runtime_parameter | ||
# To keep existing IR textprotos used in tests unchanged, we only use | ||
# structural_runtime_parameter for subpipelines. After the subpipeline being | ||
# implemented, we will need to migrate normal pipelines to | ||
# structural_runtime_parameter as well for consistency. Similar for below. | ||
if pipeline_ctx.is_subpipeline: | ||
compiler_utils.set_structural_runtime_parameter_pb( | ||
pipeline_run_context_pb.name.structural_runtime_parameter, | ||
[ | ||
f"{pipeline_ctx.pipeline_info.pipeline_context_name}_", | ||
(constants.PIPELINE_RUN_ID_PARAMETER_NAME, str), | ||
], | ||
) | ||
else: | ||
compiler_utils.set_runtime_parameter_pb( | ||
pipeline_run_context_pb.name.runtime_parameter, | ||
constants.PIPELINE_RUN_ID_PARAMETER_NAME, | ||
str, | ||
) | ||
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# Contexts inherited from the parent pipelines. | ||
for i, parent_pipeline in enumerate(pipeline_ctx.parent_pipelines[::-1]): | ||
parent_pipeline_context_pb = node_contexts.contexts.add() | ||
parent_pipeline_context_pb.type.name = constants.PIPELINE_CONTEXT_TYPE_NAME | ||
parent_pipeline_context_pb.name.field_value.string_value = ( | ||
parent_pipeline.pipeline_info.pipeline_context_name | ||
) | ||
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if parent_pipeline.execution_mode == pipeline.ExecutionMode.SYNC: | ||
pipeline_run_context_pb = node_contexts.contexts.add() | ||
pipeline_run_context_pb.type.name = ( | ||
constants.PIPELINE_RUN_CONTEXT_TYPE_NAME | ||
) | ||
|
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# TODO(kennethyang): Miragte pipeline run id to structural runtime | ||
# parameter for the similar reason mentioned above. | ||
# Use structural runtime parameter to represent pipeline_run_id except | ||
# for the root level pipeline, for backward compatibility. | ||
if i == len(pipeline_ctx.parent_pipelines) - 1: | ||
compiler_utils.set_runtime_parameter_pb( | ||
pipeline_run_context_pb.name.runtime_parameter, | ||
constants.PIPELINE_RUN_ID_PARAMETER_NAME, | ||
str, | ||
) | ||
else: | ||
compiler_utils.set_structural_runtime_parameter_pb( | ||
pipeline_run_context_pb.name.structural_runtime_parameter, | ||
[ | ||
f"{parent_pipeline.pipeline_info.pipeline_context_name}_", | ||
(constants.PIPELINE_RUN_ID_PARAMETER_NAME, str), | ||
], | ||
) | ||
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# Context for the node, across pipeline runs. | ||
node_context_pb = node_contexts.contexts.add() | ||
node_context_pb.type.name = constants.NODE_CONTEXT_TYPE_NAME | ||
node_context_pb.name.field_value.string_value = ( | ||
compiler_utils.node_context_name( | ||
pipeline_ctx.pipeline_info.pipeline_context_name, node_id | ||
) | ||
) | ||
pipeline_ctx.node_context_protos_cache[node_id] = node_contexts | ||
return node_contexts |
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# Copyright 2024 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.dsl.compiler.node_contexts_compiler.""" | ||
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import tensorflow as tf | ||
from tfx.dsl.compiler import compiler_context | ||
from tfx.dsl.compiler import node_contexts_compiler | ||
from tfx.orchestration import pipeline | ||
from tfx.proto.orchestration import pipeline_pb2 | ||
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from google.protobuf import text_format | ||
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_NODE_ID = 'test_node' | ||
_PIPELINE_NAME = 'test_pipeline' | ||
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class NodeContextsCompilerTest(tf.test.TestCase): | ||
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def test_compile_node_contexts(self): | ||
expected_node_contexts = text_format.Parse( | ||
""" | ||
contexts { | ||
type { | ||
name: "pipeline" | ||
} | ||
name { | ||
field_value { | ||
string_value: "test_pipeline" | ||
} | ||
} | ||
} | ||
contexts { | ||
type { | ||
name: "pipeline_run" | ||
} | ||
name { | ||
runtime_parameter { | ||
name: "pipeline-run-id" | ||
type: STRING | ||
} | ||
} | ||
} | ||
contexts { | ||
type { | ||
name: "node" | ||
} | ||
name { | ||
field_value { | ||
string_value: "test_pipeline.test_node" | ||
} | ||
} | ||
} | ||
""", | ||
pipeline_pb2.NodeContexts(), | ||
) | ||
self.assertProtoEquals( | ||
node_contexts_compiler.compile_node_contexts( | ||
compiler_context.PipelineContext(pipeline.Pipeline(_PIPELINE_NAME)), | ||
_NODE_ID, | ||
), | ||
expected_node_contexts, | ||
) | ||
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def test_compile_node_contexts_for_subpipeline(self): | ||
parent_context = compiler_context.PipelineContext( | ||
pipeline.Pipeline(_PIPELINE_NAME) | ||
) | ||
subpipeline_context = compiler_context.PipelineContext( | ||
pipeline.Pipeline('subpipeline'), parent_context | ||
) | ||
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expected_node_contexts = text_format.Parse( | ||
""" | ||
contexts { | ||
type { | ||
name: "pipeline" | ||
} | ||
name { | ||
field_value { | ||
string_value: "subpipeline" | ||
} | ||
} | ||
} | ||
contexts { | ||
type { | ||
name: "pipeline_run" | ||
} | ||
name { | ||
structural_runtime_parameter { | ||
parts { | ||
constant_value: "subpipeline_" | ||
} | ||
parts { | ||
runtime_parameter { | ||
name: "pipeline-run-id" | ||
type: STRING | ||
} | ||
} | ||
} | ||
} | ||
} | ||
contexts { | ||
type { | ||
name: "pipeline" | ||
} | ||
name { | ||
field_value { | ||
string_value: "test_pipeline" | ||
} | ||
} | ||
} | ||
contexts { | ||
type { | ||
name: "pipeline_run" | ||
} | ||
name { | ||
runtime_parameter { | ||
name: "pipeline-run-id" | ||
type: STRING | ||
} | ||
} | ||
} | ||
contexts { | ||
type { | ||
name: "node" | ||
} | ||
name { | ||
field_value { | ||
string_value: "subpipeline.test_node" | ||
} | ||
} | ||
} | ||
""", | ||
pipeline_pb2.NodeContexts(), | ||
) | ||
self.assertProtoEquals( | ||
node_contexts_compiler.compile_node_contexts( | ||
subpipeline_context, | ||
_NODE_ID, | ||
), | ||
expected_node_contexts, | ||
) | ||
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if __name__ == '__main__': | ||
tf.test.main() |
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