"""Unified data format definitions for MetaMem.""" from dataclasses import dataclass, field, asdict from typing import Optional @dataclass class UserSession: """A single conversation session.""" session_id: str timestamp: str turns: list # list of {"role": str, "content": str, optional "has_answer": bool} @dataclass class MemoryBankRecord: """A session-level memory record for retrieval.""" id: str source_session_id: str content: str timestamp: str @dataclass class Query: """A user memory query with annotations.""" id: str query: str answer: str evidence_session_ids: list query_type: str ms_label: Optional[str] = None rewrite_query: Optional[str] = None @dataclass class UserData: """Complete data package for one user.""" user_id: str user_sessions: list # list of UserSession (serialized as dicts) memory_bank: list # list of MemoryBankRecord (serialized as dicts) queries: list # list of Query (serialized as dicts) def to_dict(self) -> dict: return asdict(self) @classmethod def from_dict(cls, d: dict) -> "UserData": return cls( user_id=d["user_id"], user_sessions=d["user_sessions"], memory_bank=d["memory_bank"], queries=d["queries"], ) @dataclass class FIRPrediction: """FIR probing result for one query.""" user_id: str query_id: str query: str gold_answer: str predictions: list # list of str model_name: str lora_path: str temperature: float num_samples: int @dataclass class MSLabel: """Memory state label from multi-teacher judgment.""" query_id: str ms_label: str # SM/PM/VM/NM agreement: float # teacher agreement ratio final_confidence: float sample_weight: float status: str # UNANIMOUS/MAJORITY/AMBIGUOUS teacher_results: list # raw results from each teacher @dataclass class RewriteQuery: """Rewrite query result from multi-teacher generation.""" query_id: str rewrite_query: str ms_label: str best_rank: Optional[int] = None original_rank: Optional[int] = None source_teacher: Optional[str] = None all_teacher_rewrites: list = field(default_factory=list) validation_result: Optional[dict] = None