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>
38 lines
798 B
Python
38 lines
798 B
Python
from datetime import datetime
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from uuid import UUID
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from pydantic import BaseModel, EmailStr
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from app.models.user import UserRole, UserStatus
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class UserCreate(BaseModel):
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email: EmailStr
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name: str
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password: str
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role: UserRole = UserRole.reviewer
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client_ids: list[UUID] = []
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model_config = {"from_attributes": True}
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class UserUpdate(BaseModel):
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email: EmailStr | None = None
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name: str | None = None
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password: str | None = None
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role: UserRole | None = None
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status: UserStatus | None = None
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model_config = {"from_attributes": True}
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class UserResponse(BaseModel):
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id: UUID
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email: str
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name: str
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role: UserRole
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status: UserStatus
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created_at: datetime
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updated_at: datetime
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model_config = {"from_attributes": True}
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