copilot-swe-agent[bot]
f75b125992
- Add unauthenticated /api/diagnostic/healthz/live and /healthz/ready probe endpoints for Kubernetes liveness/readiness checks - Separate Celery Beat into dedicated beat service in docker-compose.yaml - Remove container_name from api and worker services to allow scaling - Create Helm beat-deployment.yaml for standalone Beat scheduler pod - Remove -B flag from worker-deployment.yaml so workers can scale safely - Add beat section and fix probe paths in Helm values.yaml - Add tests for the new probe endpoints Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
115 lines
3.1 KiB
YAML
115 lines
3.1 KiB
YAML
services:
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api:
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build:
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context: .
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dockerfile: Dockerfile
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# No container_name — allows `docker compose up --scale api=N`
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restart: always
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# We'll keep the code in /app, but set working_dir to the shared data directory
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working_dir: /workdir
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# We'll run uvicorn from the container's /app code
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command: ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--proxy-headers"]
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# Environment variables
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environment:
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- PYTHONPATH=/app
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env_file:
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- .env
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# Expose container's 8000 -> Host's 8000
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ports:
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- "8000:8000"
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depends_on:
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- redis
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- beat
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# Mount the shared working directory for data
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volumes:
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- /var/docparse/workdir:/workdir
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worker:
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build:
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context: .
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dockerfile: Dockerfile
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# No container_name — allows `docker compose up --scale worker=N`
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restart: always
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# same shared working directory
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working_dir: /workdir
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# Workers process tasks only — no -B flag (Beat runs in the dedicated beat service)
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command: ["celery", "-A", "app.celery_worker", "worker", "--loglevel=info", "-Q", "document_processor,default,celery"]
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env_file:
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- .env
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environment:
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- PYTHONPATH=/app
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depends_on:
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- redis
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- gotenberg
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# Mount the shared directory
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volumes:
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- /var/docparse/workdir:/workdir
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# Dedicated Celery Beat scheduler — exactly one instance must run at all times.
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# Beat publishes periodic tasks to the Redis broker; workers pick them up.
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# Do NOT scale this service (replicas must stay at 1).
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beat:
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build:
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context: .
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dockerfile: Dockerfile
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container_name: document_beat
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restart: always
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working_dir: /workdir
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command: ["celery", "-A", "app.celery_worker", "beat", "--loglevel=info"]
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env_file:
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- .env
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environment:
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- PYTHONPATH=/app
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depends_on:
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- redis
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volumes:
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- /var/docparse/workdir:/workdir
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gotenberg:
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image: gotenberg/gotenberg:latest
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container_name: gotenberg
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restart: always
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meilisearch:
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image: getmeili/meilisearch:latest
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container_name: document_meilisearch
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restart: always
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environment:
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- MEILI_NO_ANALYTICS=true
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volumes:
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- /var/docparse/meilisearch:/meili_data
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redis:
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image: redis:alpine
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container_name: document_redis
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restart: always
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# Optional: standalone docs server using MkDocs Material (live-reload during development).
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# Start with: docker compose --profile docs up docs
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# Access at: http://localhost:8001
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# Note: The /help route in the main app serves pre-built docs from the Docker image.
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# This service is for content authors who want live preview while editing documentation.
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docs:
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image: squidfunk/mkdocs-material:latest
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container_name: docuelevate_docs
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restart: "no"
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profiles:
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- docs
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volumes:
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- ./docs:/docs/docs
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- ./mkdocs.yml:/docs/mkdocs.yml
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working_dir: /docs
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command: ["serve", "--dev-addr=0.0.0.0:8000", "--config-file=/docs/mkdocs.yml"]
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ports:
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- "8001:8000"
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