language-learning-app/api/app/outbound/postgres/entities/summarise_job_entity.py

import uuid
from datetime import datetime, timezone

from sqlalchemy import String, Text, DateTime, ForeignKey
from sqlalchemy.orm import Mapped, mapped_column
from sqlalchemy.dialects.postgresql import UUID

from ..database import Base

class SummariseJobEntity(Base):
    __tablename__ = "jobs"

    id: Mapped[uuid.UUID] = mapped_column(
        UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
    )
    user_id: Mapped[uuid.UUID | None] = mapped_column(
        UUID(as_uuid=True), ForeignKey("users.id"), nullable=True, index=True
    )
    status: Mapped[str] = mapped_column(String(20), nullable=False, default="pending")
    source_language: Mapped[str] = mapped_column(String(10), nullable=False, default="en")
    target_language: Mapped[str] = mapped_column(String(10), nullable=False)
    complexity_level: Mapped[str] = mapped_column(String(5), nullable=False)
    input_summary: Mapped[str | None] = mapped_column(Text, nullable=True)
    generated_text: Mapped[str | None] = mapped_column(Text, nullable=True)
    translated_text: Mapped[str | None] = mapped_column(Text, nullable=True)
    error_message: Mapped[str | None] = mapped_column(Text, nullable=True)
    audio_url: Mapped[str | None] = mapped_column(Text, nullable=True)
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True),
        default=lambda: datetime.now(timezone.utc),
    )
    started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
    completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True),
        default=lambda: datetime.now(timezone.utc),
    )