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>
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
import enum
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import uuid
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from datetime import datetime
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from sqlalchemy import DateTime, Enum, ForeignKey, Integer, Text, func
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.models.base import Base, generate_uuid
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class FlagType(str, enum.Enum):
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approved = "approved"
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needs_revision = "needs_revision"
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comment = "comment"
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class Feedback(Base):
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__tablename__ = "feedback"
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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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output_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("output_rows.id", ondelete="CASCADE"), nullable=False
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)
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user_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("users.id"), nullable=False
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)
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option_column: Mapped[int] = mapped_column(Integer, nullable=False)
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flag_type: Mapped[FlagType] = mapped_column(
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Enum(FlagType, name="flag_type", create_constraint=True),
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nullable=False,
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)
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comment: 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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server_default=func.now(),
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nullable=False,
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)
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# Relationships
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output = relationship("OutputRow", back_populates="feedback")
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user = relationship("User", back_populates="feedback")
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