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https://gitcode.com/JianFeeeee/TrulyMEM-TrueHumanMEM.git
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fix: 实体默认类型Concept而非NULL,星图回退时间戳,entity_types改为dict格式
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@ -393,8 +393,9 @@ class EmbeddedGraphDB:
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continue
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# 创建或更新实体
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for entity_name in [subject, obj]:
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entity_type = entity_types.get(entity_name) if entity_types else None
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for entity_name, entity_key in [(subject, 'subject_type'), (obj, 'object_type')]:
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# 按优先级获取实体类型:1) triplet中的_type字段 2) entity_types字典 3) 默认
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entity_type = triplet.get(entity_key) or (entity_types.get(entity_name) if entity_types else None) or 'Concept'
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cursor.execute("""
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INSERT INTO entities (name, type)
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@ -121,7 +121,7 @@ class Neo4jGraph:
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return {"entities": list(entities.values()), "relations": relations[:20]}
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def commit(self, triplets: list, entity_types: list = None, temporal_tag: str = None) -> dict:
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def commit(self, triplets: list, entity_types: dict = None, temporal_tag: str = None) -> dict:
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"""写入记忆"""
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global CURRENT_TURN
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with self.driver.session() as session:
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@ -130,7 +130,6 @@ class Neo4jGraph:
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if not valid_triplets:
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return {"committed_count": 0, "details": []}
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etype = entity_types[0] if entity_types else "unknown"
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date_bucket = temporal_tag or datetime.now().strftime("%Y-%m-%d")
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results = []
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@ -140,13 +139,17 @@ class Neo4jGraph:
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obj = triplet.get("object", "").strip()
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confidence = triplet.get("confidence", 0.9)
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# 按优先级获取实体类型:1) triplet中的_type字段 2) entity_types字典 3) 默认
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s_type = triplet.get("subject_type") or (entity_types.get(subject) if entity_types else None) or "Concept"
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o_type = triplet.get("object_type") or (entity_types.get(obj) if entity_types else None) or "Concept"
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session.run("""
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MERGE (s:Entity {name: $subject})
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ON CREATE SET s.type = $type, s.created_at = datetime(), s.mention_count = 1, s.updated_at = datetime()
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ON CREATE SET s.type = $s_type, s.created_at = datetime(), s.mention_count = 1, s.updated_at = datetime()
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ON MATCH SET s.mention_count = coalesce(s.mention_count, 0) + 1, s.updated_at = datetime()
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MERGE (t:Entity {name: $object})
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ON CREATE SET t.type = $type, t.created_at = datetime(), t.mention_count = 1, t.updated_at = datetime()
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ON CREATE SET t.type = $o_type, t.created_at = datetime(), t.mention_count = 1, t.updated_at = datetime()
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ON MATCH SET t.mention_count = coalesce(t.mention_count, 0) + 1, t.updated_at = datetime()
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CREATE (s)-[r:RELATES {
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@ -159,7 +162,8 @@ class Neo4jGraph:
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confidence: $confidence,
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date_bucket: $date_bucket
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}]->(t)
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""", subject=subject, object=obj, relation=relation, type=etype,
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""", subject=subject, object=obj, relation=relation,
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s_type=s_type, o_type=o_type,
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session_id=CURRENT_SESSION_ID, turn_id=CURRENT_TURN, confidence=confidence,
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date_bucket=date_bucket)
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@ -103,16 +103,18 @@ MEMORY_TOOLS = [
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"subject": {"type": "string"},
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"relation": {"type": "string"},
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"object": {"type": "string"},
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"confidence": {"type": "number"}
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"confidence": {"type": "number"},
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"subject_type": {"type": "string", "description": "主体的实体类型,如 Person、Project"},
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"object_type": {"type": "string", "description": "客体的实体类型,如 Language、Technology"}
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},
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"required": ["subject", "relation", "object"]
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},
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"description": "三元组列表"
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},
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"entity_types": {
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"type": "array",
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"items": {"type": "string"},
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"description": "实体类型(可选)"
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"type": "object",
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"additionalProperties": {"type": "string"},
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"description": "实体类型字典,如 {\"用户\": \"Person\", \"项目A\": \"Project\"}(可选)"
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},
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"temporal_tag": {
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"type": "string",
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