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>
53 lines
2.3 KiB
Python
53 lines
2.3 KiB
Python
import enum
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import uuid
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from sqlalchemy import Enum, ForeignKey, Integer, JSON, 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 ConfidenceTier(str, enum.Enum):
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high = "high"
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moderate = "moderate"
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low = "low"
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class OutputRow(Base, TimestampMixin):
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__tablename__ = "output_rows"
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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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instance_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("locale_instances.id", ondelete="CASCADE"), nullable=False
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)
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line_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("source_lines.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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confidence_tier: Mapped[ConfidenceTier] = mapped_column(
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Enum(ConfidenceTier, name="confidence_tier", create_constraint=True),
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nullable=False,
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)
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option_1: Mapped[str] = mapped_column(Text, nullable=False)
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backtranslation_1: Mapped[str] = mapped_column(Text, nullable=False)
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rationale_1: Mapped[str] = mapped_column(Text, nullable=False)
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option_2: Mapped[str | None] = mapped_column(Text, nullable=True)
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backtranslation_2: Mapped[str | None] = mapped_column(Text, nullable=True)
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rationale_2: Mapped[str | None] = mapped_column(Text, nullable=True)
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option_3: Mapped[str | None] = mapped_column(Text, nullable=True)
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backtranslation_3: Mapped[str | None] = mapped_column(Text, nullable=True)
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rationale_3: Mapped[str | None] = mapped_column(Text, nullable=True)
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tm_entries_cited: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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winning_seg_key: Mapped[str | None] = mapped_column(String(255), nullable=True)
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character_count_option_1: Mapped[int | None] = mapped_column(Integer, nullable=True)
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character_count_option_2: Mapped[int | None] = mapped_column(Integer, nullable=True)
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character_count_option_3: Mapped[int | None] = mapped_column(Integer, nullable=True)
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# Relationships
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instance = relationship("LocaleInstance", back_populates="output_rows")
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line = relationship("SourceLine", back_populates="output_rows")
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feedback = relationship(
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"Feedback", back_populates="output", lazy="selectin", cascade="all, delete-orphan"
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)
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