apiVersion: apps/v1
kind: Deployment
metadata:
  name: airshelf-core-worker
  labels:
    app: airshelf-core-worker
spec:
  replicas: 1
  selector:
    matchLabels:
      app: airshelf-core-worker
  template:
    metadata:
      labels:
        app: airshelf-core-worker
    spec:
      imagePullSecrets:
      - name: cr-pull-secret
      containers:
      - name: airshelf-core-worker
        image: ${CI_REGISTRY_IMAGE}/airshelf-core-api:latest
        imagePullPolicy: Always
        # Celery worker connects to the external (Volcano managed) Redis broker
        # configured via the airshelf-core-env secret. Uses `args` (not `command`)
        # so the image ENTRYPOINT still runs but skips migrate/collectstatic ($1=celery).
        # 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。
        args: ["celery", "-A", "airshelf.celery:app", "worker", "-l", "info", "-Q", "celery", "--concurrency", "4"]
        envFrom:
        - secretRef:
            name: airshelf-core-env
        livenessProbe:
          exec:
            command: ["sh", "-c", "celery -A airshelf.celery:app inspect ping"]
          initialDelaySeconds: 40
          periodSeconds: 60
          timeoutSeconds: 15
          failureThreshold: 3
        resources:
          requests:
            # 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;
            # 768Mi 会 OOMKilled(Exit 137)连带 worker 反复重启 → 生成入口 503,故抬到 2Gi。
            memory: "512Mi"
            cpu: "100m"
          limits:
            memory: "2Gi"
            cpu: "1000m"