34 lines
1.5 KiB
Python
34 lines
1.5 KiB
Python
import uuid
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from datetime import datetime, timezone
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from sqlalchemy import String, Text, DateTime
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from sqlalchemy.orm import Mapped, mapped_column
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from sqlalchemy.dialects.postgresql import UUID
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from .database import Base
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class Job(Base):
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__tablename__ = "jobs"
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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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status: Mapped[str] = mapped_column(String(20), nullable=False, default="pending")
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source_language: Mapped[str] = mapped_column(String(10), nullable=False, default="en")
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target_language: Mapped[str] = mapped_column(String(10), nullable=False)
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complexity_level: Mapped[str] = mapped_column(String(5), nullable=False)
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input_summary: Mapped[str | None] = mapped_column(Text, nullable=True)
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generated_text: Mapped[str | None] = mapped_column(Text, nullable=True)
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translated_text: Mapped[str | None] = mapped_column(Text, nullable=True)
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error_message: Mapped[str | None] = mapped_column(Text, nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc),
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)
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started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc),
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)
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