dec9fca8c2
* [refactor]Reconstruct episodic memory * [refactor]Reconstructing explicit memory * [refactor]Reconstruct episodic memory * [refactor]Reconstructing explicit memory * [changes]Based on the improvement of AI review * [changes]Modify the routing * [changes]Uniform routing format * [fix]Fix the failure in parsing the timestamp. * [refactor]Reconstruct episodic memory * [refactor]Reconstructing explicit memory * [changes]Based on the improvement of AI review * [changes]Modify the routing * [changes]Uniform routing format * [fix]Fix the failure in parsing the timestamp. * [deleted]Delete migration files * [refactor]Reconstruct episodic memory * [refactor]Reconstructing explicit memory * [changes]Based on the improvement of AI review * [changes]Modify the routing * [changes]Uniform routing format * [fix]Fix the failure in parsing the timestamp. * [deleted]Delete migration files * feat: add database migration 9ab9b6393f32_20261511
275 lines
10 KiB
Python
275 lines
10 KiB
Python
"""
|
||
显性记忆服务
|
||
|
||
处理显性记忆相关的业务逻辑，包括情景记忆和语义记忆的查询。
|
||
"""
|
||
|
||
from typing import Any, Dict
|
||
|
||
from app.core.logging_config import get_logger
|
||
from app.services.memory_base_service import MemoryBaseService
|
||
|
||
logger = get_logger(__name__)
|
||
|
||
|
||
class MemoryExplicitService(MemoryBaseService):
|
||
"""显性记忆服务类"""
|
||
|
||
def __init__(self):
|
||
super().__init__()
|
||
logger.info("MemoryExplicitService initialized")
|
||
|
||
async def get_explicit_memory_overview(
|
||
self,
|
||
end_user_id: str
|
||
) -> Dict[str, Any]:
|
||
"""
|
||
获取显性记忆总览信息
|
||
|
||
返回两部分：
|
||
1. 情景记忆（episodic_memories）- 来自MemorySummary节点
|
||
2. 语义记忆（semantic_memories）- 来自ExtractedEntity节点（is_explicit_memory=true）
|
||
|
||
Args:
|
||
end_user_id: 终端用户ID
|
||
|
||
Returns:
|
||
{
|
||
"total": int,
|
||
"episodic_memories": [
|
||
{
|
||
"id": str,
|
||
"title": str,
|
||
"content": str,
|
||
"created_at": int
|
||
}
|
||
],
|
||
"semantic_memories": [
|
||
{
|
||
"id": str,
|
||
"name": str,
|
||
"entity_type": str,
|
||
"core_definition": str
|
||
}
|
||
]
|
||
}
|
||
"""
|
||
try:
|
||
logger.info(f"开始查询 end_user_id={end_user_id} 的显性记忆总览（情景记忆+语义记忆）")
|
||
|
||
# ========== 1. 查询情景记忆（MemorySummary节点） ==========
|
||
episodic_query = """
|
||
MATCH (s:MemorySummary)
|
||
WHERE s.group_id = $group_id
|
||
RETURN elementId(s) AS id,
|
||
s.name AS title,
|
||
s.content AS content,
|
||
s.created_at AS created_at
|
||
ORDER BY s.created_at DESC
|
||
"""
|
||
|
||
episodic_result = await self.neo4j_connector.execute_query(
|
||
episodic_query,
|
||
group_id=end_user_id
|
||
)
|
||
|
||
# 处理情景记忆数据
|
||
episodic_memories = []
|
||
if episodic_result:
|
||
for record in episodic_result:
|
||
summary_id = record["id"]
|
||
title = record.get("title") or "未命名"
|
||
content = record.get("content") or ""
|
||
created_at_str = record.get("created_at")
|
||
|
||
# 使用基类方法转换时间戳
|
||
created_at_timestamp = self.parse_timestamp(created_at_str)
|
||
|
||
# 注意：总览接口不返回 emotion 字段
|
||
episodic_memories.append({
|
||
"id": summary_id,
|
||
"title": title,
|
||
"content": content,
|
||
"created_at": created_at_timestamp
|
||
})
|
||
|
||
# ========== 2. 查询语义记忆（ExtractedEntity节点） ==========
|
||
semantic_query = """
|
||
MATCH (e:ExtractedEntity)
|
||
WHERE e.group_id = $group_id
|
||
AND e.is_explicit_memory = true
|
||
RETURN elementId(e) AS id,
|
||
e.name AS name,
|
||
e.entity_type AS entity_type,
|
||
e.description AS core_definition
|
||
ORDER BY e.name ASC
|
||
"""
|
||
|
||
semantic_result = await self.neo4j_connector.execute_query(
|
||
semantic_query,
|
||
group_id=end_user_id
|
||
)
|
||
|
||
# 处理语义记忆数据
|
||
semantic_memories = []
|
||
if semantic_result:
|
||
for record in semantic_result:
|
||
entity_id = record["id"]
|
||
name = record.get("name") or "未命名"
|
||
entity_type = record.get("entity_type") or "未分类"
|
||
core_definition = record.get("core_definition") or ""
|
||
|
||
# 注意：总览接口不返回 detailed_notes 和 created_at 字段
|
||
semantic_memories.append({
|
||
"id": entity_id,
|
||
"name": name,
|
||
"entity_type": entity_type,
|
||
"core_definition": core_definition
|
||
})
|
||
|
||
# ========== 3. 返回结果 ==========
|
||
total_count = len(episodic_memories) + len(semantic_memories)
|
||
|
||
logger.info(
|
||
f"成功获取 end_user_id={end_user_id} 的显性记忆总览，"
|
||
f"情景记忆={len(episodic_memories)} 条，语义记忆={len(semantic_memories)} 条，"
|
||
f"总计 {total_count} 条"
|
||
)
|
||
|
||
return {
|
||
"total": total_count,
|
||
"episodic_memories": episodic_memories,
|
||
"semantic_memories": semantic_memories
|
||
}
|
||
|
||
except Exception as e:
|
||
logger.error(f"获取显性记忆总览时出错: {str(e)}", exc_info=True)
|
||
raise
|
||
|
||
async def get_explicit_memory_details(
|
||
self,
|
||
end_user_id: str,
|
||
memory_id: str
|
||
) -> Dict[str, Any]:
|
||
"""
|
||
获取显性记忆详情
|
||
|
||
根据 memory_id 查询情景记忆或语义记忆的详细信息。
|
||
先尝试查询情景记忆，如果找不到再查询语义记忆。
|
||
|
||
Args:
|
||
end_user_id: 终端用户ID
|
||
memory_id: 记忆ID（可以是情景记忆或语义记忆的ID）
|
||
|
||
Returns:
|
||
情景记忆返回：
|
||
{
|
||
"memory_type": "episodic",
|
||
"title": str,
|
||
"content": str,
|
||
"emotion": Dict,
|
||
"created_at": int
|
||
}
|
||
|
||
语义记忆返回：
|
||
{
|
||
"memory_type": "semantic",
|
||
"name": str,
|
||
"core_definition": str,
|
||
"detailed_notes": str,
|
||
"created_at": int
|
||
}
|
||
|
||
Raises:
|
||
ValueError: 当记忆不存在时
|
||
"""
|
||
try:
|
||
logger.info(f"开始查询显性记忆详情: end_user_id={end_user_id}, memory_id={memory_id}")
|
||
|
||
# ========== 1. 先尝试查询情景记忆 ==========
|
||
episodic_query = """
|
||
MATCH (s:MemorySummary)
|
||
WHERE elementId(s) = $memory_id AND s.group_id = $group_id
|
||
RETURN s.name AS title,
|
||
s.content AS content,
|
||
s.created_at AS created_at
|
||
"""
|
||
|
||
episodic_result = await self.neo4j_connector.execute_query(
|
||
episodic_query,
|
||
memory_id=memory_id,
|
||
group_id=end_user_id
|
||
)
|
||
|
||
if episodic_result and len(episodic_result) > 0:
|
||
record = episodic_result[0]
|
||
title = record.get("title") or "未命名"
|
||
content = record.get("content") or ""
|
||
created_at_str = record.get("created_at")
|
||
|
||
# 使用基类方法转换时间戳
|
||
created_at_timestamp = self.parse_timestamp(created_at_str)
|
||
|
||
# 使用基类方法获取情绪信息
|
||
emotion = await self.extract_episodic_emotion(
|
||
summary_id=memory_id,
|
||
end_user_id=end_user_id
|
||
)
|
||
|
||
logger.info(f"成功获取情景记忆详情: memory_id={memory_id}")
|
||
return {
|
||
"memory_type": "episodic",
|
||
"title": title,
|
||
"content": content,
|
||
"emotion": emotion,
|
||
"created_at": created_at_timestamp
|
||
}
|
||
|
||
# ========== 2. 如果不是情景记忆，尝试查询语义记忆 ==========
|
||
semantic_query = """
|
||
MATCH (e:ExtractedEntity)
|
||
WHERE elementId(e) = $memory_id
|
||
AND e.group_id = $group_id
|
||
AND e.is_explicit_memory = true
|
||
RETURN e.name AS name,
|
||
e.description AS core_definition,
|
||
e.example AS detailed_notes,
|
||
e.created_at AS created_at
|
||
"""
|
||
|
||
semantic_result = await self.neo4j_connector.execute_query(
|
||
semantic_query,
|
||
memory_id=memory_id,
|
||
group_id=end_user_id
|
||
)
|
||
|
||
if semantic_result and len(semantic_result) > 0:
|
||
record = semantic_result[0]
|
||
name = record.get("name") or "未命名"
|
||
core_definition = record.get("core_definition") or ""
|
||
detailed_notes = record.get("detailed_notes") or ""
|
||
created_at_str = record.get("created_at")
|
||
|
||
# 使用基类方法转换时间戳
|
||
created_at_timestamp = self.parse_timestamp(created_at_str)
|
||
|
||
logger.info(f"成功获取语义记忆详情: memory_id={memory_id}")
|
||
return {
|
||
"memory_type": "semantic",
|
||
"name": name,
|
||
"core_definition": core_definition,
|
||
"detailed_notes": detailed_notes,
|
||
"created_at": created_at_timestamp
|
||
}
|
||
|
||
# ========== 3. 两种记忆都找不到 ==========
|
||
logger.warning(f"记忆不存在: memory_id={memory_id}, end_user_id={end_user_id}")
|
||
raise ValueError(f"记忆不存在: memory_id={memory_id}")
|
||
|
||
except ValueError:
|
||
# 重新抛出 ValueError（记忆不存在）
|
||
raise
|
||
except Exception as e:
|
||
logger.error(f"获取显性记忆详情时出错: {str(e)}", exc_info=True)
|
||
raise
|