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Build and Deploy / build-and-deploy (push) Successful in 1m40s
- core/frontend: Vite 多阶段镜像 + nginx 同源反代 /api,/admin,/static(零 CORS) - core/backend: Django gunicorn 镜像 + entrypoint(自动 migrate/collectstatic)+ WhiteNoise - k8s/core: api/worker/web Deployment+Service + ingress(airshelf-web.airlabs.art) - workflow: 追加 core 前后端 build/push,从 core/backend/.env 套生产覆盖生成 env Secret 后部署 - .gitignore 放行 core/backend/.env;.env 白名单加入 airshelf-web 域名 - 含前端 WIP 还原改动 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
44 lines
1.3 KiB
YAML
44 lines
1.3 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: airshelf-core-worker
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labels:
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app: airshelf-core-worker
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: airshelf-core-worker
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template:
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metadata:
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labels:
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app: airshelf-core-worker
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spec:
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imagePullSecrets:
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- name: cr-pull-secret
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containers:
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- name: airshelf-core-worker
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image: ${CI_REGISTRY_IMAGE}/airshelf-core-api:latest
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imagePullPolicy: Always
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# Celery worker connects to the external (Volcano managed) Redis broker
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# configured via the airshelf-core-env secret. Uses `args` (not `command`)
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# so the image ENTRYPOINT still runs but skips migrate/collectstatic ($1=celery).
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args: ["celery", "-A", "airshelf.celery:app", "worker", "-l", "info", "--concurrency", "2"]
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envFrom:
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- secretRef:
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name: airshelf-core-env
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livenessProbe:
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exec:
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command: ["sh", "-c", "celery -A airshelf.celery:app inspect ping"]
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initialDelaySeconds: 40
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periodSeconds: 60
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timeoutSeconds: 15
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failureThreshold: 3
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resources:
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requests:
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memory: "256Mi"
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cpu: "100m"
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limits:
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memory: "768Mi"
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cpu: "1000m"
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