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
#
#
import subprocess
import sys
from functools import lru_cache
from tempfile import NamedTemporaryFile
from typing import Any, Dict, Tuple
import jmespath
import jsonschema
import requests
import yaml
from kubernetes.client.api_client import ApiClient
api_client = ApiClient()
BASE_URL_SPEC = "https://raw.githubusercontent.com/instrumenta/kubernetes-json-schema/master/v1.12.9"
@lru_cache(maxsize=None)
def create_validator(api_version, kind):