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