98fa16bfc3
Full-stack Amazon AI Transcreation Platform with: - FastAPI backend (async, PostgreSQL, Redis, Celery) with 11 DB tables - JWT auth (SSO-ready abstract provider pattern) - 6-agent pipeline orchestrator with deterministic modules - Next.js 14 frontend with Amazon branding (Ember fonts, orange/dark theme) - Job wizard, monitoring HUD, output review, admin screens - 154 TM/reference files imported, 12 locales configured - Docker Compose for all services Agents 2-5 (TM retrieval, ranker, transcreator, compliance) are stubs pending Phase 3 LLM integration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
import uuid
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from sqlalchemy import Boolean, ForeignKey, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.models.base import Base, TimestampMixin, generate_uuid
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class SourceLine(Base, TimestampMixin):
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__tablename__ = "source_lines"
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id: Mapped[uuid.UUID] = mapped_column(
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primary_key=True, default=generate_uuid
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)
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job_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("jobs.id", ondelete="CASCADE"), nullable=False
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)
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row_order: Mapped[int] = mapped_column(Integer, nullable=False)
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en_gb: Mapped[str] = mapped_column(Text, nullable=False)
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copy_type: Mapped[str | None] = mapped_column(String(100), nullable=True)
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creative_guidance: Mapped[str | None] = mapped_column(Text, nullable=True)
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visual_ref: Mapped[str | None] = mapped_column(String(500), nullable=True)
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char_limit: Mapped[str | None] = mapped_column(String(50), nullable=True)
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is_display_format: Mapped[bool] = mapped_column(Boolean, default=False)
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# Relationships
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job = relationship("Job", back_populates="source_lines")
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output_rows = relationship(
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"OutputRow", back_populates="line", lazy="selectin", cascade="all, delete-orphan"
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)
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