47 lines
1.6 KiB
YAML
47 lines
1.6 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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# 本 Pod 只吃默认 celery 队列(出图/出片等慢活)。提取/通知/脚本思考在 worker-quick。
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args: ["celery", "-A", "airshelf.celery:app", "worker", "-l", "info", "-Q", "celery", "--concurrency", "4"]
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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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# 出图任务把成品图/视频整张下载进内存再上传 TOS,叠 concurrency 4 峰值大;
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# 768Mi 会 OOMKilled(Exit 137)连带 worker 反复重启 → 生成入口 503,故抬到 2Gi。
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memory: "512Mi"
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cpu: "100m"
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limits:
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memory: "2Gi"
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cpu: "1000m"
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