참고소스 수정본

참고/neo4j-graphrag-python-main/tests/unit/experimental/pipeline/components.py

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+#  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.
+import asyncio
+
+from neo4j_graphrag.experimental.pipeline import Component, DataModel
+from neo4j_graphrag.experimental.pipeline.types.context import RunContext
+
+
+class StringResultModel(DataModel):
+    result: str
+
+
+class IntResultModel(DataModel):
+    result: int
+
+
+class ComponentNoParam(Component):
+    async def run(self) -> StringResultModel:
+        return StringResultModel(result="")
+
+
+class ComponentPassThrough(Component):
+    async def run(self, value: str) -> StringResultModel:
+        return StringResultModel(result=f"value is: {value}")
+
+
+class ComponentAdd(Component):
+    async def run(self, number1: int, number2: int) -> IntResultModel:
+        return IntResultModel(result=number1 + number2)
+
+
+class ComponentMultiply(Component):
+    async def run(self, number1: int, number2: int = 2) -> IntResultModel:
+        return IntResultModel(result=number1 * number2)
+
+
+class ComponentMultiplyWithContext(Component):
+    async def run_with_context(
+        self, context_: RunContext, number1: int, number2: int = 2
+    ) -> IntResultModel:
+        await context_.notify(
+            message="my message", data={"number1": number1, "number2": number2}
+        )
+        return IntResultModel(result=number1 * number2)
+
+
+class SlowComponentMultiply(Component):
+    def __init__(self, sleep: float = 1.0) -> None:
+        self.sleep = sleep
+
+    async def run(self, number1: int, number2: int = 2) -> IntResultModel:
+        await asyncio.sleep(self.sleep)
+        return IntResultModel(result=number1 * number2)