# Default values for sientia-module.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.

# This will set the replicaset count more information can be found here: https://kubernetes.io/docs/concepts/workloads/controllers/replicaset/
replicaCount: 1

# This sets the container image more information can be found here: https://kubernetes.io/docs/concepts/containers/images/
image:
  repository: aignosi.azurecr.io/sientia-dataops-model-manager
  # This sets the pull policy for images.
  pullPolicy: IfNotPresent
  # Overrides the image tag whose default is the chart appVersion.
  tag: "1.2.0"

# This is for the secrets for pulling an image from a private repository more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
imagePullSecrets:
- name: docker-hub-secret

# This is to override the chart name.
nameOverride: "sientia-dataops-model-manager"
fullnameOverride: "sientia-dataops-model-manager"
namespace: sientia

# This section builds out the service account more information can be found here: https://kubernetes.io/docs/concepts/security/service-accounts/
serviceAccount:
  # Specifies whether a service account should be created
  create: true
  # Automatically mount a ServiceAccount's API credentials?
  automount: true
  # Annotations to add to the service account
  annotations: {}
  # The name of the service account to use.
  # If not set and create is true, a name is generated using the fullname template
  name: "sientia-dataops-model-manager"

# This is for setting Kubernetes Annotations to a Pod.
# For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
podAnnotations: {}
# This is for setting Kubernetes Labels to a Pod.
# For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
podLabels: {}

podSecurityContext: {}
  # fsGroup: 2000

securityContext: {}
  # capabilities:
  #   drop:
  #   - ALL
  # readOnlyRootFilesystem: true
  # runAsNonRoot: true
  # runAsUser: 1000

resources: {}
  # We usually recommend not to specify default resources and to leave this as a conscious
  # choice for the user. This also increases chances charts run on environments with little
  # resources, such as Minikube. If you do want to specify resources, uncomment the following
  # lines, adjust them as necessary, and remove the curly braces after 'resources:'.
  # limits:
  #   cpu: 100m
  #   memory: 128Mi
  # requests:
  #   cpu: 100m
  #   memory: 128Mi

# This is to setup the liveness and readiness probes more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/
livenessProbe:
  exec:
    command:
      - python3
      - -c
      - "import requests; requests.get('http://localhost:9090/metrics')"
  initialDelaySeconds: 20
  periodSeconds: 30

readinessProbe:
  exec:
    command:
      - python3
      - -c
      - "import requests; requests.get('http://localhost:9090/metrics')"
  initialDelaySeconds: 10
  periodSeconds: 15

# This section is for setting up autoscaling more information can be found here: https://kubernetes.io/docs/concepts/workloads/autoscaling/
autoscaling:
  enabled: false
  minReplicas: 1
  maxReplicas: 100
  targetCPUUtilizationPercentage: 80
  # targetMemoryUtilizationPercentage: 80

# Additional volumes on the output Deployment definition.
volumes:
  - name: reports-volume
    emptyDir:
      sizeLimit: 1Gi

# Additional volumeMounts on the output Deployment definition.
volumeMounts:
  - name: reports-volume
    mountPath: "/app/model_manager/reports/temp"

# Deployment strategy configuration
# More information: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#strategy
deploymentStrategy:
  type: Recreate
  # rollingUpdate:
  #   maxSurge: 0
  #   maxUnavailable: 1

# Number of old ReplicaSets to retain
revisionHistoryLimit: 2

nodeSelector: {}

tolerations: []

affinity: {}

services:
  sdk-metrics:
    enabled: true
    type: ClusterIP
    port: 9091
    targetPort: 9091
    name: sdk-metrics
  metrics:
    enabled: true
    type: ClusterIP
    port: 9090
    targetPort: 9090
    name: metrics

# Configuração do ServiceMonitor para o Prometheus Operator
# ref: https://github.com/prometheus-operator/prometheus-operator
serviceMonitor:
  # Se true, um recurso ServiceMonitor será criado.
  enabled: true
  # O intervalo no qual as métricas devem ser coletadas (ex: 30s, 1m).
  endpoints:
  - port: metrics
    path: /metrics
    interval: 30s
    relabelings: []
  - port: sdk-metrics
    path: /metrics
    interval: 30s
    relabelings: []
  additionalLabels:
    release: kube-prometheus-stack

env:
  - name: POSTGRES_HOST
    value: "paradedb-rw.paradedb.svc.cluster.local"
  - name: POSTGRES_PORT
    value: "5432"
  - name: POSTGRES_USER
    value: "postgres"
  - name: POSTGRES_PASSWORD
    value: "nFqc81y6kwmr2zuAIx43DhiOosFCVPpeEfTtTWZflkNjB2j1KtEeIANkhFR9mAX3"
  - name: POSTGRES_DBNAME
    value: "sientia-core-mlops-bff"
  - name: POSTGRES_MIN_CONNECTIONS
    value: "10"
  - name: POSTGRES_MAX_CONNECTIONS
    value: "30"

  - name: MLFLOW_URL
    value: "http://sientia-tracker-mlflow-tracking.sientia-tracker.svc.cluster.local:80"
  - name: MLFLOW_USERNAME
    value: "aignosi"
  - name: MLFLOW_PASSWORD
    value: "1L0FP50j3ncp123"

  - name: LOG_LEVEL
    value: "DEBUG"
  - name: HTTP_METRICS_PORT
    value: "9090"
  - name: HTTP_SDK_METRICS_PORT
    value: "9091"
  - name: PROJECT_NAME
    value: "sientia-model-manager"

  - name: TEMPORAL_HOST
    value: "temporal-frontend.temporal.svc.cluster.local:7233"
  - name: TEMPORAL_NAMESPACE
    value: "model-manager"
  - name: TRAIN_TASK_QUEUE
    value: "train_model-queue"
  - name: CLEANUP_TASK_QUEUE
    value: "cleanup-queue"
  - name: TEMPORAL_USE_TLS
    value: "false"

  - name: MONGODB_USERNAME
    value: "root"
  - name: MONGODB_PASSWORD
    value: "wKZDbMNU1c"
  - name: MONGODB_URL
    value: "my-release-mongodb.mongodb.svc.cluster.local:27017"
  - name: MONGODB_DATABASE
    value: "sientia"
  - name: MONGODB_TTL_INDEX_HOURS
    value: "1"

  - name: MINIO_ENDPOINT_URL
    value: "http://minio.minio.svc.cluster.local:9000"
  - name: MINIO_ACCESS_KEY
    value: "model-training-user"
  - name: MINIO_SECRET_KEY
    value: "modelTrainingUser123"
  - name: MINIO_REGION
    value: "us-east-1"
  - name: MINIO_USE_SSL
    value: "false"
  - name: MINIO_MAX_RETRY_ATTEMPTS
    value: "3"
  - name: MINIO_RETRY_MODE
    value: "adaptive"
  - name: MINIO_CONNECT_TIMEOUT
    value: "10"
  - name: MINIO_READ_TIMEOUT
    value: "60"

  - name: TIMEOUT_VALIDATE_PARAMS
    value: "30"
  - name: TIMEOUT_TRAIN_MODEL
    value: "2700"
  - name: TIMEOUT_DELETE_FILE
    value: "120"
  - name: TIMEOUT_UPDATE_DATABASE
    value: "30"

  - name: CLEANUP_RETENTION_HOURS
    value: "24"
  - name: CLEANUP_DRY_RUN
    value: "false"
  - name: TIMEOUT_CLEANUP_LOCAL
    value: "120"

  # Cleanup Schedule Configuration
  - name: CLEANUP_SCHEDULE_ID
    value: "cleanup-files-daily"
  - name: CLEANUP_CRON
    value: "0 0 * * *"  # Midnight UTC
  - name: CLEANUP_TIMEZONE
    value: "UTC"
  - name: CLEANUP_EXECUTION_TIMEOUT_HOURS
    value: "1"

  - name: EXTRA_PIP_REQUIREMENTS
    value: "git+https://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@github.com/Aignosi/sientia-mlops-library.git"

  - name: POD_ID
    valueFrom:
      fieldRef:
        fieldPath: metadata.name

ssh:
  enabled: false
  secretName: git-ssh-key-sientia-model-manager-worker
  sshPath: /mnt/.ssh
  knownHostsPath: /mnt/known_hosts

# Configuração para dashboards do Grafana
grafanaDashboard:
  # Habilita a criação de ConfigMaps para dashboards
  enabled: true
  # Namespace onde o Grafana está instalado (ajuste conforme seu ambiente)
  namespace: monitoring
  # Labels para que o sidecar do Grafana encontre os dashboards
  labels:
    grafana_dashboard: "1"
  # Lista de dashboards para importar
  dashboards:
    - name: sientia-dataops-model-manager
      title: "Sientia DataOps Model Manager"
      uid: "sientia-dataops-model-manager"
      folder: "Sientia"
      jsonFile: "dashboards/sientia-dataops-model-manager.json"
      overwrite: true          # Sobrescreve dashboard se já existir
      version: "1.0.0"         # Version inicial do dashboard

# Configuração para datasources do Grafana
grafanaDatasource:
  # Habilita a criação de ConfigMap para datasources
  enabled: false
  # Namespace onde o Grafana está instalado
  namespace: monitoring
  # Labels para que o sidecar do Grafana encontre os datasources
  labels:
    grafana_datasource: "1"
  # Lista de datasources para configurar
  datasources: []
  # Exemplo de datasource:
  # - name: Prometheus
  #   type: prometheus
  #   url: http://prometheus-server.monitoring.svc.cluster.local
  #   isDefault: true
  #   jsonData:
  #     timeInterval: "5s"

# kubectl create secret docker-registry docker-hub-secret --namespace sientia --docker-server=http://aignosi.azurecr.io --docker-username=aignosi --docker-password=5I5zpQ6sRaHqX1hD3dr+2mo647yO3FRc359/wu6gsP+ACRDRz5mp

# helm upgrade --install sientia-dataops-model-manager sientia/sientia-module -n sientia --create-namespace -f ./values.yaml --version 0.6.0

# kubectl create secret generic git-ssh-key-sientia-model-manager-worker \
#   --namespace sientia \
#   --from-file=ssh-privatekey=git_key \
#   --type=kubernetes.io/ssh-auth