a0d73b3b63
- Step 14: Brand enforcement service (font/color/logo replacement, WCAG contrast check, LLM prompt context) - Step 15: Enhanced outline & slide content generation with brand context, content summary, "no hallucination" instructions - Step 15b: LLM auto-fallback retry logic across providers (FALLBACK_LLM_PROVIDERS env) - Step 16: Redis/ARQ job queue — worker entry point, presentation & master deck workers, job status/SSE endpoints, graceful fallback to BackgroundTasks when Redis unavailable Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
25 lines
748 B
Python
25 lines
748 B
Python
from contextlib import asynccontextmanager
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import os
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from fastapi import FastAPI
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from services.database import create_db_and_tables
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from services.redis_service import close_arq_pool
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from utils.get_env import get_app_data_directory_env
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from utils.model_availability import (
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check_llm_and_image_provider_api_or_model_availability,
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)
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@asynccontextmanager
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async def app_lifespan(_: FastAPI):
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"""
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Lifespan context manager for FastAPI application.
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Initializes the application data directory and checks LLM model availability.
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"""
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os.makedirs(get_app_data_directory_env(), exist_ok=True)
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await create_db_and_tables()
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await check_llm_and_image_provider_api_or_model_availability()
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yield
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await close_arq_pool()
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