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>
29 lines
594 B
Python
29 lines
594 B
Python
from datetime import datetime
|
|
from typing import Any
|
|
from uuid import UUID
|
|
|
|
from pydantic import BaseModel
|
|
|
|
|
|
class ClientCreate(BaseModel):
|
|
name: str
|
|
settings: dict[str, Any] | None = None
|
|
|
|
model_config = {"from_attributes": True}
|
|
|
|
|
|
class ClientUpdate(BaseModel):
|
|
name: str | None = None
|
|
settings: dict[str, Any] | None = None
|
|
|
|
model_config = {"from_attributes": True}
|
|
|
|
|
|
class ClientResponse(BaseModel):
|
|
id: UUID
|
|
name: str
|
|
settings: dict[str, Any] | None = None
|
|
created_at: datetime
|
|
updated_at: datetime
|
|
|
|
model_config = {"from_attributes": True}
|