zycandClaude Opus 4.8
a8852345db
根因:后端容器内存 limit 仅 768Mi,ffmpeg 编码 1080P 竖屏时内存峰值超限被 K8s OOMKill,导出后台线程随 Pod 重启而死,任务永远停在 35%(本地无 limit 29s 出片)。 - k8s/core/api-deployment.yaml: 后端内存 limit 768Mi→2Gi、requests 256→512Mi, 给 ffmpeg 足够编码空间(根治) - export.py: ffmpeg subprocess 加 900s 超时(卡死不再永久 RUNNING)+ -threads 2 降内存峰值 - views.py: submit-export 清理超 5 分钟未结束的僵尸任务,前端不再无限转圈 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
73 lines
1.9 KiB
YAML
73 lines
1.9 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: airshelf-core-api
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labels:
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app: airshelf-core-api
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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-api
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template:
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metadata:
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labels:
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app: airshelf-core-api
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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-api
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image: ${CI_REGISTRY_IMAGE}/airshelf-core-api:latest
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imagePullPolicy: Always
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# No command override: the image ENTRYPOINT (docker-entrypoint.sh) runs
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# migrate + collectstatic, then the default CMD (gunicorn) is exec'd.
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ports:
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- containerPort: 8000
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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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httpGet:
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path: /api/health/
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port: 8000
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httpHeaders:
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- name: Host
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value: airshelf-web.airlabs.art
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initialDelaySeconds: 20
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periodSeconds: 15
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timeoutSeconds: 5
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failureThreshold: 3
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readinessProbe:
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httpGet:
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path: /api/health/
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port: 8000
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httpHeaders:
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- name: Host
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value: airshelf-web.airlabs.art
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initialDelaySeconds: 10
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periodSeconds: 10
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timeoutSeconds: 5
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failureThreshold: 3
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resources:
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requests:
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memory: "512Mi"
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cpu: "250m"
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limits:
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# 视频导出在本容器后台线程跑 ffmpeg,编码 1080P 竖屏 + 多路输入 + 字幕/配音混音
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# 内存峰值可达 1.5GB,原 768Mi 必被 OOMKill(导出卡 35%、Pod 重启)。提到 2Gi 给足空间。
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memory: "2Gi"
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cpu: "1500m"
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: airshelf-core-api
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spec:
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selector:
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app: airshelf-core-api
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ports:
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- protocol: TCP
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port: 8000
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targetPort: 8000
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