31 lines
1.3 KiB
Python
31 lines
1.3 KiB
Python
"""Additive projection model for opening-risk questionnaire profiles."""
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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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from app.model.fund import FundRiskAssessment as RiskAssessment
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class ProfileSnapshot(Base):
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__tablename__ = "profile_snapshots"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
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profile_uuid: Mapped[str | None] = mapped_column(String(36), unique=True)
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customer_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
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version: Mapped[int] = mapped_column(BigInteger, nullable=False)
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snapshot: Mapped[dict[str, Any]] = mapped_column(JSON, nullable=False)
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generation_basis: Mapped[dict[str, Any] | None] = mapped_column(JSON)
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snapshot_hash: Mapped[str | None] = mapped_column(String(64))
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is_current: Mapped[bool] = mapped_column(nullable=False, default=False)
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current_customer_id: Mapped[int | None] = mapped_column(BigInteger)
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generated_at: Mapped[datetime | None] = mapped_column(DateTime)
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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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__all__ = ["ProfileSnapshot", "RiskAssessment"]
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