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