import datetime
from typing import Dict, List
from uuid import uuid4
from pydantic import Field, BaseModel
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class MemoryNode(BaseModel):
"""
Represents a memory node with comprehensive attributes to store memory information including unique ID,
user details, content, metadata, scoring metrics.
Automatically handles timestamp conversion to date format during initialization.
"""
memory_id: str = Field(default_factory=lambda: uuid4().hex, description="unique id for memory")
user_name: str = Field("", description="the user who owns the memory")
target_name: str = Field("", description="target name described by the memory")
meta_data: Dict[str, str] = Field({}, description="meta data infos")
content: str = Field("", description="memory content")
key: str = Field("", description="memory key")
key_vector: List[float] = Field([], description="memory key embedding result")
value: str = Field("", description="memory value")
score_recall: float = Field(0, description="embedding similarity score used in recall stage")
score_rank: float = Field(0, description="rank model score used in rank stage")
score_rerank: float = Field(0, description="rerank score used in rerank stage")
memory_type: str = Field("", description="conversation / observation / insight...")
action_status: str = Field("none", description="new / content_modified / modified / deleted / none")
store_status: str = Field("valid", description="store_status: valid / expired")
vector: List[float] = Field([], description="content embedding result")
timestamp: int = Field(default_factory=lambda: int(datetime.datetime.now().timestamp()),
description="timestamp of the memory node")
dt: str = Field("", description="dt of the memory node")
obs_reflected: int = Field(0, description="if the observation is reflected: 0/1")
obs_updated: int = Field(0, description="if the observation has updated user profile or insight: 0/1")
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def __init__(self, **kwargs):
super().__init__(**kwargs)
self.dt = datetime.datetime.fromtimestamp(self.timestamp).strftime("%Y%m%d")
@property
def node_keys(self):
return list(self.model_json_schema()["properties"].keys())
def __getitem__(self, key: str):
return self.model_dump().get(key)