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
706 B
Python
30 lines
706 B
Python
import uuid
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from datetime import datetime
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from sqlalchemy import DateTime, func
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from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
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class Base(DeclarativeBase):
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"""Base class for all SQLAlchemy models."""
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pass
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class TimestampMixin:
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"""Mixin that adds created_at and updated_at columns."""
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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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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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server_default=func.now(),
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onupdate=func.now(),
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nullable=False,
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)
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def generate_uuid() -> uuid.UUID:
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return uuid.uuid4()
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