global:
  namePrefix: "zymtrace"
  imageRegistry: "ghcr.io/zystem-io"
  registry:
    requirePullSecret: false
    username: "" # --set global.registry.username=<username>
    password: "" # --set global.registry.password=<password>
  imagePullSecrets:
    - name: null # Will be overridden by the template --> zymtrace-registry-cred
  imagePullPolicy: IfNotPresent
  # ClusterMetadata is typically provided by parent chart when used as a subchart
  # Set cluster_id to automatically add it as a tag to the profiler agent
  ClusterMetadata:
    cluster_id: "" # Override with --set global.ClusterMetadata.cluster_id=<cluster-id>

rbac:
  create: true
  rules:
    - apiGroups: [""]
      resources: ["nodes", "pods"]
      verbs: ["get", "list", "watch"]
    - apiGroups: ["apps"]
      resources: ["deployments", "daemonsets"]
      verbs: ["get", "list", "watch"]

serviceAccount:
  annotations:
    {}
    #   eks.amazonaws.com/role-arn: arn:aws:iam::123456789012:role/operations/monitoring/zymtrace-profiler-role

profiler:
  image:
    repository: zymtrace-pub-profiler
    tag: "" # Override with --set profiler.image.tag=<version>
  securityContext:
    capabilities:
      add:
        - SYS_ADMIN # CAP_SYS_ADMIN is required
  cudaProfiler:
    enabled: false # Set to true to enable CUDA profiler. Override with --set profiler.cudaProfiler.enabled=true
    hostMountPath: "/var/lib/zymtrace/profiler" #can't use the standard /opt/zymtrace/profiler path because GKE mounts /opt as readonly for secuirty reasons.
  args:
    # For all available arguments, see: https://docs.zymtrace.com/profiler-cli-args
    # Override the collection agent with: --set profiler.args[0]="-collection-agent=your-service.namespace.svc.cluster.local:80"
    
    - "-collection-agent=zymtrace-gateway.zymtrace.svc.cluster.local:80"
    - "-disable-tls"
    # - "-project=project-name" 
    # - "-zymtrace-protocol"
    # - "-tags=cloud_region:us-central1;env:staging"  
    # - "-v"
    # - "-dwarf"
    # - "-zymtrace-protocol"
    # - "-auth-token=mycustomauthtoken"
    #
    # GPU Metrics: https://docs.zymtrace.com/gpu-metrics#available-gpu-metrics
    # To enable GPU metrics, add:
    # - "--enable-gpu-metrics"
    # - "-nvml-path=/path/to/nvml"  # Optional: profiler auto-detects if not specified
    # - "-nvml-auto-scan"           # Optional: profiler will scan host system for NVML.
    #                               # Not recommended for production: if lib isn't at standard path,
    #                               # it's best to just run with that flag once, then specify the
    #                               # path found and printed by the profiler explicitly in future runs.
  # Note: CLI args take precedence over environment variables
  env:
    # For all env variables, see: https://docs.zymtrace.com/profiler-env-variables
    # Override environment variables with: --set profiler.env.ZYMTRACE_COLLECTION_AGENT="your-service:80"
    
    #ZYMTRACE_COLLECTION_AGENT: "zymtrace-ui.zymtrace.svc.cluster.local:80" 
    #ZYMTRACE_DISABLE_TLS: "true"
    # ZYMTRACE_TAGS: "region:us-west;env:prod"
    #
    # GPU Metrics: To enable GPU metrics via env vars instead of args:
    # ZYMTRACE_ENABLE_GPU_METRICS: "true"
    # ZYMTRACE_NVML_PATH: "/path/to/nvml"  # Optional: profiler auto-detects if not specified
    # ZYMTRACE_NVML_AUTO_SCAN: 1           # Optional: profiler will scan host system for NVML.
    #                                      # Not recommended for production: if lib isn't at standard path,
    #                                      # it's best to just run with that flag once, then specify the
    #                                      # path found and printed by the profiler explicitly in future runs.
    
    # Proxy settings
    #HTTPS_PROXY: "" #http://username:password@proxy:port
    
    # Kubernetes downward API field references
    fieldRefs:
      # Default node name variables (set to false to disable)
      NODE_NAME: true # maps to spec.nodeName
      KUBERNETES_NODE_NAME: true # maps to spec.nodeName
      # POD_NAME: metadata.name
      # POD_NAMESPACE: metadata.namespace

  # Uncomment to ensure profiler pods are scheduled even on busy nodes.
  # This allows the DaemonSet to preempt lower-priority pods when resources are scarce.
  priorityClassName: null
  # priorityClassName: "system-node-critical"    # Highest: preempts all non-critical pods
  # priorityClassName: "system-cluster-critical" # High: preempts regular pods but not node-critical ones

  resources:
    requests:
      cpu: "200m"
      memory: "256Mi"
    limits:
      cpu: "1000m"
      memory: "1Gi"
  nodeSelector:
    {}
    # Override with: --set profiler.nodeSelector."kubernetes\.io/arch"=amd64
    # kubernetes.io/arch: amd64
    # nvidia.com/gpu: "true"           # Any node with NVIDIA GPU
    # nvidia.com/gpu.product: "A100"   # Specific GPU model
    # nvidia.com/gpu.memory: "40GB"    # Specific GPU memory
    # accelerator: nvidia-tesla-k80    # For Google GKE GPU nodes
  tolerations:
    # Allow deploying to GPU nodes.
    - key: "nvidia.com/gpu"
      operator: "Exists"
      effect: "NoSchedule"
  affinity:
    {}
    # nodeAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #     nodeSelectorTerms:
    #     - matchExpressions:
    #       - key: nvidia.com/gpu
    #         operator: In
    #         values:
    #         - "true"
    #   preferredDuringSchedulingIgnoredDuringExecution:
    #   - weight: 1
    #     preference:
    #       matchExpressions:
    #       - key: gpu.memory
    #         operator: Gt
    #         values:
    #         - "32Gi"