Files
group_fqcd_jr/app/model/goal_conversation.py
T
张胜宇 9675df8453 chore(sync): zsy_developcc 全量同步至 qyqy_develop(W26 口径)
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2026-09-21 21:26:30 +08:00

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Python

"""Internal persistence model for conversational investment-goal extraction."""
from datetime import datetime
from typing import Any
from sqlalchemy import JSON, BigInteger, DateTime, String
from sqlalchemy.orm import Mapped, mapped_column
from app.model.base import Base
class AdvisorGoalConversationExtraction(Base):
"""Append-only extraction snapshot; never exposed in the customer API."""
__tablename__ = "advisor_goal_conversation_extraction"
id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
message_id: Mapped[int] = mapped_column(BigInteger, unique=True, nullable=False)
session_id: Mapped[str] = mapped_column(String(64), nullable=False)
customer_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
extraction_version: Mapped[str] = mapped_column(String(32), nullable=False)
extracted_fields: Mapped[dict[str, Any]] = mapped_column(JSON, nullable=False)
missing_fields: Mapped[list[str]] = mapped_column(JSON, nullable=False)
status: Mapped[str] = mapped_column(String(32), nullable=False)
created_at: Mapped[datetime] = mapped_column(DateTime, nullable=False)
updated_at: Mapped[datetime] = mapped_column(DateTime, nullable=False)