41 lines
1.6 KiB
Python
41 lines
1.6 KiB
Python
import uuid
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from datetime import datetime
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from sqlalchemy import String, Uuid, JSON, Float, Text, DateTime, ForeignKey, Index, func
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from sqlalchemy.orm import Mapped, mapped_column
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from app.database import Base
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class DiagnosisRecord(Base):
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__tablename__ = "diagnosis_records"
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id: Mapped[uuid.UUID] = mapped_column(
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Uuid(as_uuid=True), primary_key=True, default=uuid.uuid4
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)
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brand_id: Mapped[uuid.UUID] = mapped_column(
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Uuid(as_uuid=True),
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ForeignKey("brands.id", ondelete="CASCADE"),
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nullable=False,
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)
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user_id: Mapped[uuid.UUID] = mapped_column(Uuid(as_uuid=True), nullable=False)
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diagnosis_type: Mapped[str] = mapped_column(
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String(20), default="geo", nullable=False
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)
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status: Mapped[str] = mapped_column(String(20), default="pending", nullable=False)
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overall_score: Mapped[float | None] = mapped_column(Float, nullable=True)
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result_json: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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error_message: Mapped[str | None] = mapped_column(Text, nullable=True)
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collection_metadata: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now(), nullable=False
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)
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completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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__table_args__ = (
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Index("idx_diagnosis_records_brand_id", "brand_id"),
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Index("idx_diagnosis_records_user_id", "user_id"),
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Index("idx_diagnosis_records_status", "status"),
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Index("idx_diagnosis_records_created_at", "created_at"),
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)
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