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# Copyright (c) "Neo4j"
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# Neo4j Sweden AB [https://neo4j.com]
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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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# https://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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from unittest.mock import Mock, patch
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from neo4j_graphrag.experimental.pipeline import Pipeline
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from neo4j_graphrag.experimental.pipeline.config.pipeline_config import PipelineConfig
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from neo4j_graphrag.experimental.pipeline.config.runner import PipelineRunner
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from neo4j_graphrag.experimental.pipeline.types.definitions import PipelineDefinition
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@patch("neo4j_graphrag.experimental.pipeline.pipeline.Pipeline.from_definition")
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def test_pipeline_runner_from_def_empty(mock_from_definition: Mock) -> None:
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mock_from_definition.return_value = Pipeline()
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runner = PipelineRunner(
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pipeline_definition=PipelineDefinition(components=[], connections=[])
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)
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assert runner.config is None
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assert runner.pipeline is not None
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assert runner.pipeline._nodes == {}
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assert runner.pipeline._edges == []
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assert runner.run_params == {}
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mock_from_definition.assert_called_once()
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def test_pipeline_runner_from_config() -> None:
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config = PipelineConfig(component_config={}, connection_config=[])
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runner = PipelineRunner.from_config(config)
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assert runner.config is not None
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assert runner.pipeline is not None
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assert runner.pipeline._nodes == {}
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assert runner.pipeline._edges == []
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assert runner.run_params == {}
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@patch("neo4j_graphrag.experimental.pipeline.config.runner.PipelineRunner.from_config")
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@patch("neo4j_graphrag.utils.file_handler.FileHandler.read")
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def test_pipeline_runner_from_config_file(
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mock_read: Mock, mock_from_config: Mock
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) -> None:
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mock_read.return_value = {"dict": "with data"}
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PipelineRunner.from_config_file("file.yaml")
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mock_read.assert_called_once_with("file.yaml")
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mock_from_config.assert_called_once_with({"dict": "with data"}, do_cleaning=True)
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