61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
"""客户长期记忆的 Neo4j 关系镜像。"""
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from __future__ import annotations
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from config.database.neo4j import client as configured_client
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class Neo4jMemoryStore:
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"""保存客户节点、记忆节点及其 HAS_MEMORY 关系。"""
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def __init__(self, driver=None):
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self.driver = driver or configured_client()
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async def upsert(self, memory) -> str:
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"""写入客户和记忆节点，返回图谱记忆节点 ID。"""
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memory_id = str(memory.id)
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query = """
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MERGE (c:Customer {customer_id: $customer_id})
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MERGE (m:CustomerMemory {memory_id: $memory_id})
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SET m.memory_type = $memory_type,
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m.tag = $tag,
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m.content = $content,
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m.status = $status
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MERGE (c)-[:HAS_MEMORY]->(m)
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RETURN m.memory_id AS memory_id
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"""
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async with self.driver.session() as session:
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record = await session.run(
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query,
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customer_id=int(memory.customer_id),
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memory_id=memory_id,
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memory_type=memory.memory_type,
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tag=memory.tag,
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content=memory.content,
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status=memory.status,
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)
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row = await record.single()
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return row["memory_id"] if row else memory_id
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async def list_by_customer(self, customer_id: int, *, limit: int = 100) -> list[dict]:
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"""按客户查询图谱记忆关系。"""
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query = """
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MATCH (c:Customer {customer_id: $customer_id})-[:HAS_MEMORY]->(m:CustomerMemory)
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RETURN m.memory_id AS memory_id, m.memory_type AS memory_type,
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m.tag AS tag, m.content AS content, m.status AS status
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LIMIT $limit
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"""
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async with self.driver.session() as session:
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result = await session.run(query, customer_id=int(customer_id), limit=limit)
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return [dict(record) async for record in result]
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async def delete(self, memory_id: int | str) -> None:
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"""删除记忆节点及其关系。"""
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query = "MATCH (m:CustomerMemory {memory_id: $memory_id}) DETACH DELETE m"
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async with self.driver.session() as session:
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await session.run(query, memory_id=str(memory_id))
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__all__ = ["Neo4jMemoryStore"]
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