43 lines
1.7 KiB
Python
43 lines
1.7 KiB
Python
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import uuid
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from datetime import datetime
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import enum
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from sqlalchemy import String, Numeric, Text, DateTime, ForeignKey, Enum as SAEnum, func
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from sqlalchemy.dialects.postgresql import UUID
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.core.database import Base
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class ConfidenceLevel(str, enum.Enum):
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high = "high"
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medium = "medium"
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low = "low"
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class ReviewStatus(str, enum.Enum):
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pending = "pending"
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confirmed = "confirmed"
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rejected = "rejected"
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needs_info = "needs_info"
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class FraudAssessment(Base):
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__tablename__ = "fraud_assessments"
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id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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case_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("cases.id"), index=True)
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transaction_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("transaction_records.id"))
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confidence_level: Mapped[ConfidenceLevel] = mapped_column(SAEnum(ConfidenceLevel))
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assessed_amount: Mapped[float] = mapped_column(Numeric(14, 2), default=0)
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reason: Mapped[str] = mapped_column(Text, default="")
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exclude_reason: Mapped[str] = mapped_column(Text, default="")
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review_status: Mapped[ReviewStatus] = mapped_column(SAEnum(ReviewStatus), default=ReviewStatus.pending)
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review_note: Mapped[str] = mapped_column(Text, default="")
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reviewed_by: Mapped[str] = mapped_column(String(128), default="")
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reviewed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
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case = relationship("Case", back_populates="assessments")
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transaction = relationship("TransactionRecord")
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