mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-09-06 08:16:00 +00:00
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
import datetime
|
|
from typing import Dict, List
|
|
|
|
import
|
|
from pydantic import Field, BaseModel
|
|
|
|
from memory_scope.utils.tool_functions import md5_hash
|
|
|
|
|
|
class MemoryNode(BaseModel):
|
|
memory_id: str = Field("", description="unique id for memory item")
|
|
|
|
user_id: str = Field("", description="unique memory id for user")
|
|
|
|
content: str = Field("", description="memory content")
|
|
|
|
score_similar: float = Field(0, description="es similar score")
|
|
|
|
score_rank: float = Field(0, description="rank model score")
|
|
|
|
score_rerank: float = Field(0, description="rerank score")
|
|
|
|
memory_type: str = Field("", description="conversation/observation/insight...")
|
|
|
|
meta_data: Dict[str, str] = Field({}, description="other data infos")
|
|
|
|
status: str = Field("active", description="active or expired")
|
|
|
|
vector: List[float] = Field([], description="content embedding result, return empty")
|
|
|
|
timestamp: int = Field(int(datetime.datetime.now().timestamp()), description="timestamp of the memory node")
|
|
|
|
@property
|
|
def node_keys(self):
|
|
return list(self.model_json_schema()["properties"].keys())
|
|
|
|
def __getitem__(self, key: str):
|
|
return self.model_dump().get(key)
|
|
|
|
def gen_memory_id(self):
|
|
self.memory_id = f"{self.user_id}_{self.timestamp}_{md5_hash(self.content)[:8]}"
|