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>
24 lines
656 B
Python
24 lines
656 B
Python
"""ARQ worker entry point.
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Run with: python -m arq workers.main.WorkerSettings
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"""
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import os
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from arq.connections import RedisSettings
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from workers.master_deck_worker import parse_master_deck_task
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from workers.presentation_worker import generate_presentation_task
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def _get_redis_settings() -> RedisSettings:
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url = os.environ.get("REDIS_URL", "redis://localhost:6379/0")
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return RedisSettings.from_dsn(url)
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class WorkerSettings:
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redis_settings = _get_redis_settings()
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functions = [generate_presentation_task, parse_master_deck_task]
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max_jobs = 5
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job_timeout = 600 # 10 minutes
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max_tries = 3
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health_check_interval = 30
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