stop instrumenting api for create for now

We generate the dag id in the root dag file, that's not trivially
available to the api controller and it cannot respect that id in the api
dag run create call.

The templating is more important for now as the dags are triggered
anyhow via airflow engine.

api/controller.py

@@ -35,6 +35,7 @@
 from airflow_client.client.model.connection import Connection
 
 from flask import abort
+from flask import Response
 
 from jinja2 import Environment, FileSystemLoader
 
@@ -193,27 +194,30 @@ def create_breeder(api_client, content):
 
  time.sleep(2) # wait as workaround until synchronous reload of dags implemented
 
- dag_run = DAGRun(
- dag_run_id=breeder_id ,
- #state=DagState("queued"),
- conf=breeder_config,
- ) # DAGRun |
+ # Stop calling the API for now until decided
+ # if we template the breeder dags only or we really want to instrument the API.
 
- try:
- # Trigger a new DAG run
- _api_response = api_instance.post_dag_run(breeder_id, dag_run)
- except client.ApiException as e:
- print("Exception when calling DAGRunApi->post_dag_run: %s\n" % e)
- raise e
- return _api_response
+ #dag_run = DAGRun(
+ # dag_run_id=breeder_id ,
+ # #state=DagState("queued"),
+ # conf=breeder_config,
+ #) # DAGRun |
+
+ #try:
+ # # Trigger a new DAG run
+ # _api_response = api_instance.post_dag_run(breeder_id, dag_run)
+ #except client.ApiException as e:
+ # print("Exception when calling DAGRunApi->post_dag_run: %s\n" % e)
+ # raise e
+ #return _api_response
 
  with client.ApiClient(configuration) as api_client:
  # Do not create connection dynamically for now
  # api_response['connection'] = create_connection(api_client, content).to_dict()
  api_response['breeder'] = create_breeder(api_client, content).to_dict()
 
 
- return api_response
+ return Response(dict(), status=200, mimetype='application/json')
 
 
 def breeders_put(content): # noqa: E501