feat: Redis caching + async queue for LLM scaling (v1.6.0)
- Add async Redis client singleton (redis_client.py) for caching and arq pool
- Add arq job functions (jobs.py) for background LLM processing
- Cache ask/explain LLM responses with TTL (1h ask, 24h explain)
- Add async mode to /api/ask: enqueue job, return job_id, poll /api/jobs/{id}
- Add GET /api/jobs/{job_id} endpoint for job status polling
- Add arq worker service to docker-compose (dev + prod)
- Switch from Redis to Valkey (BSD fork) in Docker Compose
- Add REDIS_URL config setting
- Add tests for cache hit, async mode, and job status
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@@ -1,4 +1,19 @@
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services:
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redis:
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image: valkey/valkey:8-alpine
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container_name: aoc-redis
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restart: always
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volumes:
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- redis_data:/data
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networks:
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- aoc-internal
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 3s
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retries: 5
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start_period: 5s
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mongo:
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image: mongo:7
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container_name: aoc-mongo
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@@ -27,9 +42,12 @@ services:
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- .env
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environment:
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MONGO_URI: mongodb://${MONGO_ROOT_USERNAME}:${MONGO_ROOT_PASSWORD}@mongo:27017/
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REDIS_URL: redis://redis:6379/0
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depends_on:
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mongo:
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condition: service_healthy
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redis:
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condition: service_healthy
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networks:
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- aoc-internal
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healthcheck:
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@@ -39,6 +57,24 @@ services:
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retries: 3
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start_period: 10s
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worker:
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image: git.cqre.net/cqrenet/aoc-backend:${AOC_VERSION:-latest}
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container_name: aoc-worker
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restart: always
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env_file:
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- .env
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environment:
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MONGO_URI: mongodb://${MONGO_ROOT_USERNAME}:${MONGO_ROOT_PASSWORD}@mongo:27017/
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REDIS_URL: redis://redis:6379/0
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command: ["arq", "jobs.WorkerSettings"]
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depends_on:
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redis:
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condition: service_healthy
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mongo:
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condition: service_healthy
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networks:
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- aoc-internal
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nginx:
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image: nginx:alpine
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container_name: aoc-nginx
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@@ -58,6 +94,7 @@ services:
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volumes:
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mongo_data:
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redis_data:
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networks:
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aoc-internal:
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