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>
33 lines
1,014 B
Python
33 lines
1,014 B
Python
from uuid import UUID
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from fastapi import Depends, HTTPException, status
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from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
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from app.auth.service import AuthService
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security = HTTPBearer()
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auth_service = AuthService()
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async def decode_jwt(
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credentials: HTTPAuthorizationCredentials = Depends(security),
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) -> dict:
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"""Decode JWT from Authorization header and return user claims."""
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token = credentials.credentials
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claims = auth_service.validate_token(token)
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if claims is None:
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raise HTTPException(
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status_code=status.HTTP_401_UNAUTHORIZED,
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detail="Invalid or expired token",
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)
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if claims.get("type") != "access":
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raise HTTPException(
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status_code=status.HTTP_401_UNAUTHORIZED,
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detail="Invalid token type",
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)
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return {
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"user_id": UUID(claims["sub"]),
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"email": claims.get("email", ""),
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"role": claims.get("role", ""),
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"name": claims.get("name", ""),
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}
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