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>
19 lines
348 B
Python
19 lines
348 B
Python
from typing import Any, Generic, TypeVar
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from pydantic import BaseModel
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T = TypeVar("T")
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class PaginatedResponse(BaseModel, Generic[T]):
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items: list[T]
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total: int
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page: int
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page_size: int
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pages: int
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class ErrorResponse(BaseModel):
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detail: str
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code: str | None = None
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errors: list[dict[str, Any]] | None = None
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