create solution for AWS Personalize

create_solution.py

def create_solution() -> None: 
  DSG_ARN = personalize.list_dataset_groups()['datasetGroups'][0]['datasetGroupArn'] 
  dataset_list = personalize.list_datasets( datasetGroupArn=DSG_ARN )['datasets'] 
  # solution 을 만들기 위해서는 dataset import job 이 끝나야 하므로, 
  # 만들어질 때까지 진행을 block 하는 while loop 를 만들어줍니다. 
  DSIJ_STATUS = ['', '', ''] 
  while DSIJ_STATUS != ['ACTIVE'] * 3: 
    print("WAITING... ::", DSIJ_STATUS) 
    time.sleep(10) 
    for i, dataset in enumerate(dataset_list): 
      DSIJ_STATUS[i] = personalize.list_dataset_import_jobs( datasetArn=dataset['datasetArn'] )['datasetImportJobs'][0]['status'] 
      
  solution_obj = personalize.create_solution( 
    name=f"solution-{int(time.time())}", 
    datasetGroupArn=DSG_ARN, 
    performAutoML=True, 
    performHPO=True 
  ) 
  solution_arn = solution_obj['solutionArn'] 
  print("1. SOLUTION :: ", solution_arn) 
  time.sleep(10) 
  sv_obj = personalize.create_solution_version( 
    solutionArn=solution_arn, 
    trainingMode='FULL' 
  ) 
  sv_arn = sv_obj['solutionVersionArn'] 
  print("2. Solution is Training :: ", sv_arn)