In brand new cluster using k3d locally, I first installed keda:
```bash
helm install keda \
    --namespace keda kedacore/keda \
    --version "v1.5.0"
```

Next, I installed airflow using this config:

```yaml
executor: CeleryExecutor
defaultAirflowTag: 2.0.0-python3.7
airflowVersion: 2.0.0
workers:
  keda:
    enabled: true 
  persistence:
    enabled: false
pgbouncer:
  enabled: true
```

I think this should create a scaled object `airflow-worker`.  

But it does not.

@turbaszek and @dimberman you may have insight ...

chart/tests/helm_template_generator.py
api_version = api_version.lower()
    kind = kind.lower()
    if '/' in api_version:
        ext, _, api_version = api_version.partition("/")
        ext = ext.split(".")[0]
        url = f'{BASE_URL_SPEC}/{kind}-{ext}-{api_version}.json'
    else:
        url = f'{BASE_URL_SPEC}/{kind}-{api_version}.json'
    request = requests.get(url)
    request.raise_for_status()
    schema = request.json()
    jsonschema.Draft7Validator.check_schema(schema)
    validator = jsonschema.Draft7Validator(schema)
    return validator
def validate_k8s_object(instance):