cml = CMLBootstrap(HOST, USERNAME, API_KEY, PROJECT_NAME)
# Get User Details
user_details = cml.get_user({})
user_obj = {
"id": user_details["id"],
"username": "******",
"name": user_details["name"],
"type": user_details["type"],
"html_url": user_details["html_url"],
"url": user_details["url"]
}
# Get Project Details
project_details = cml.get_project({})
project_id = project_details["id"]
# Create Job
create_jobs_params = {
"name":
"Train Autoencoder Model " + run_time_suffix,
"type":
"manual",
"script":
"cml/train_model.py",
"timezone":
"America/Los_Angeles",
"environment": {},
"kernel":
"python3",
USERNAME = os.getenv("CDSW_PROJECT_URL").split("/")[
6] # args.username # "vdibia"
API_KEY = "uuc48l0gm0r3n2mib27voxazoos65em0"
PROJECT_NAME = os.getenv("CDSW_PROJECT")
# Instantiate API Wrapper
cml = CMLBootstrap(HOST, USERNAME, API_KEY, PROJECT_NAME)
#Retrieve model access keys for models that are compared
#Champion can be either hardcoded or can be the most recent model from the day it was deployed
#mvav17o0lwb9oogg3jlh8g7wqaw99e6w
champion_ak = "mvav17o0lwb9oogg3jlh8g7wqaw99e6w"
#Challenger is the most recent model deployed today
project_id = cml.get_project({})['id'] #get project ID
deployed_models_df = pd.DataFrame(cml.get_models({}))
challenger_ak = deployed_models_df[deployed_models_df['projectId'] == project_id]\
.sort_values("createdAt", ascending=False)['accessKey'].iloc[0]
def route_request(args):
coin = random.randint(0, 1)
#TODO: make this more coincise. Something messing up json
#TODO: add more metadata about model chosen
if coin == 0:
r = requests.post(
'http://modelservice.ml-2f4cffbb-91e.demo-aws.ylcu-atmi.cloudera.site/model',
data=