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>
23 lines
663 B
Python
23 lines
663 B
Python
from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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"""Application settings loaded from environment variables."""
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DATABASE_URL: str = "postgresql+asyncpg://transcreation:transcreation@db:5432/transcreation"
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REDIS_URL: str = "redis://redis:6379/0"
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ANTHROPIC_API_KEY: str = ""
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JWT_SECRET_KEY: str = "CHANGE_ME_TO_A_RANDOM_SECRET"
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JWT_ALGORITHM: str = "HS256"
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JWT_EXPIRY_HOURS: int = 8
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STORAGE_ROOT: str = "/storage"
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LLM_MODEL: str = "claude-sonnet-4-20250514"
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model_config = {
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"env_file": ".env",
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"env_file_encoding": "utf-8",
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"extra": "ignore",
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}
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settings = Settings()
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