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>
27 lines
542 B
Python
27 lines
542 B
Python
from datetime import datetime
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from uuid import UUID
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from pydantic import BaseModel
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from app.models.feedback import FlagType
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class FeedbackCreate(BaseModel):
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output_id: UUID
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option_column: int
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flag_type: FlagType
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comment: str | None = None
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model_config = {"from_attributes": True}
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class FeedbackResponse(BaseModel):
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id: UUID
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output_id: UUID
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user_id: UUID
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option_column: int
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flag_type: FlagType
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comment: str | None = None
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created_at: datetime
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model_config = {"from_attributes": True}
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