cf389bb978
Remove the deprecated expired_at field from all graph models, Neo4j Cypher queries, repositories, and pipeline code. Replace with dialog_at on StatementNode to track the original dialog timestamp. - Strip expired_at from DialogueNode, ChunkNode, StatementNode, ExtractedEntityNode, edges, and all Cypher queries - Add dialog_at to MessageItem schema and propagate through extraction and graph build steps - Extract emotion/metadata async submission from WritePipeline into a generic _submit_celery_task helper - Add post_store_dedup_and_alias_merge Celery task for async alias merging and second-layer dedup after Neo4j write - Switch pytest async backend from anyio to asyncio_mode=auto
78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
"""实体仓储模块
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本模块提供实体节点的数据访问功能。
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Classes:
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EntityRepository: 实体仓储，管理ExtractedEntityNode的CRUD操作
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"""
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from typing import List, Dict
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from datetime import datetime
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from app.repositories.neo4j.base_neo4j_repository import BaseNeo4jRepository
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from app.core.memory.models.graph_models import ExtractedEntityNode
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from app.repositories.neo4j.neo4j_connector import Neo4jConnector
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class EntityRepository(BaseNeo4jRepository[ExtractedEntityNode]):
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"""实体仓储
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管理实体节点的创建、查询、更新和删除操作。
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提供按类型、名称、向量相似度等条件查询实体的方法。
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Attributes:
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connector: Neo4j连接器实例
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node_label: 节点标签，固定为"ExtractedEntity"
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"""
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def __init__(self, connector: Neo4jConnector):
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"""初始化实体仓储
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Args:
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connector: Neo4j连接器实例
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"""
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super().__init__(connector, "ExtractedEntity")
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def _map_to_entity(self, node_data: Dict) -> ExtractedEntityNode:
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"""将节点数据映射为实体对象
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Args:
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node_data: 从Neo4j查询返回的节点数据字典
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Returns:
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ExtractedEntityNode: 实体对象
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"""
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# 从查询结果中提取节点数据
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n = node_data.get('n', node_data)
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# 处理datetime字段
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if isinstance(n.get('created_at'), str):
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n['created_at'] = datetime.fromisoformat(n['created_at'])
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# 确保aliases字段存在且为列表
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if 'aliases' not in n or n['aliases'] is None:
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n['aliases'] = []
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# 处理 ACT-R 属性 - 确保字段存在且有默认值
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n['importance_score'] = n.get('importance_score', 0.5)
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n['activation_value'] = n.get('activation_value')
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n['access_history'] = n.get('access_history') or []
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n['last_access_time'] = n.get('last_access_time')
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n['access_count'] = n.get('access_count', 0)
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return ExtractedEntityNode(**n)
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async def find_by_type(self, entity_type: str, limit: int = 100) -> List[ExtractedEntityNode]:
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"""根据实体类型查询
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Args:
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entity_type: 实体类型（如"Person", "Organization"等）
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limit: 返回结果的最大数量
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Returns:
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List[ExtractedEntityNode]: 实体列表
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"""
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return await self.find({"entity_type": entity_type}, limit=limit)
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