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>
21 lines
846 B
Python
21 lines
846 B
Python
from fastapi import APIRouter
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from app.auth.router import router as auth_router
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from app.api.v1.jobs import router as jobs_router
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from app.api.v1.users import router as users_router
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from app.api.v1.clients import router as clients_router
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from app.api.v1.files import router as files_router
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from app.api.v1.output import router as output_router
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from app.api.v1.reports import router as reports_router
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from app.api.v1.audit import router as audit_router
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api_v1_router = APIRouter(prefix="/api/v1")
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api_v1_router.include_router(auth_router)
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api_v1_router.include_router(jobs_router)
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api_v1_router.include_router(users_router)
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api_v1_router.include_router(clients_router)
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api_v1_router.include_router(files_router)
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api_v1_router.include_router(output_router)
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api_v1_router.include_router(reports_router)
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api_v1_router.include_router(audit_router)
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