I am trying to use the kubernetes-client in python in order to create an horizontal pod autoscaler in kubernetes. To do so i make use of the create_namespaced_horizontal_pod_autoscaler() function that belongs to the AutoscalingV2beta2Api.

My code is the following:

my_metrics = []
my_metrics.append(client.V2beta2MetricSpec(type='Pods', pods= client.V2beta2PodsMetricSource(metric=client.V2beta2MetricIdentifier(name='cpu'), target=client.V2beta2MetricTarget(average_utilization='50',type='Utilization'))))


body = client.V2beta2HorizontalPodAutoscaler(
    api_version='autoscaling/v2beta2',
    kind='HorizontalPodAutoscaler',
    metadata=client.V1ObjectMeta(name='php-apache'),
    spec= client.V2beta2HorizontalPodAutoscalerSpec(
    max_replicas=10,
    min_replicas=1,
    metrics = my_metrics,
    scale_target_ref = client.V2beta2CrossVersionObjectReference(kind='Object',name='php-apache')
    )) 

v2 = client.AutoscalingV2beta2Api()
ret = v2.create_namespaced_horizontal_pod_autoscaler(namespace='default', body=body, pretty=True)

And the response i get:

HTTP response body: {
  "kind": "Status",
  "apiVersion": "v1",
  "metadata": {
    
  },
  "status": "Failure",
  "message": "HorizontalPodAutoscaler in version \"v2beta2\" cannot be handled as a HorizontalPodAutoscaler: v2beta2.HorizontalPodAutoscaler.Spec: v2beta2.HorizontalPodAutoscalerSpec.Metrics: []v2beta2.MetricSpec: v2beta2.MetricSpec.Pods: v2beta2.PodsMetricSource.Target: v2beta2.MetricTarget.AverageUtilization: readUint32: unexpected character: \ufffd, error found in #10 byte of ...|zation\": \"50\", \"type|..., bigger context ...|\"name\": \"cpu\"}, \"target\": {\"averageUtilization\": \"50\", \"type\": \"Utilization\"}}, \"type\": \"Pods\"}], \"m|...",
  "reason": "BadRequest",
  "code": 400
}

I just want to use the kubernetes-client to call the equivalent of:

kubectl autoscale deployment php-apache --cpu-percent=50 --min=1 --max=10

Any working example would be more than welcome.