text: 
  import datetime
  import pandas as pd
  import io
  import os
  import boto3
  from io import BytesIO
  
  from airflow import DAG
  from airflow.providers.amazon.aws.operators.redshift_sql import RedshiftSQLOperator
  from airflow.operators.dummy import DummyOperator
  from airflow.operators.redshift_to_s3_operator import RedshiftToS3Transfer
  from airflow.operators.python_operator import PythonOperator
  from airflow.providers.amazon.aws.transfers.redshift_to_s3 import RedshiftToS3Operator
  from airflow.models import Variable
  
  
  from transfer_utils import *
  from cleanup_utils import *
  from language_utils import *
  from spacy_utils import *
  from ml_utils_vectorization import *
  
  
  dt = datetime.datetime.today()
  s3 = boto3.resource('s3')
  
  # 
  # 
  # 
  # 
  # DAG works
  # 
  # 
  # 
  
  with DAG(
      dag_id="CORD19_MACHINE_LEARNING",
      start_date=datetime.datetime(2020, 2, 2),
      schedule_interval=None,
      catchup=False,
      tags=['ML-engineering'],
  ) as dag:
      start = DummyOperator(task_id='start')
      end = DummyOperator(task_id='end')
      
      load_preprocessed_data_from_s3_and_save_it_locally = PythonOperator(
          task_id='load_preprocessed_data_from_s3_and_save_it_locally',  python_callable=load_preprocessed_data_from_s3_and_save_it_locally
      )
      
      verify_data = PythonOperator(
          task_id='verify_data',  python_callable=verify_data
      )
      
      
      vectorization_compute_sparse_matrix = PythonOperator(
          task_id='vectorization_compute_sparse_matrix',  python_callable=vectorization_compute_sparse_matrix
      )
      
      vectorization_reduce_dimensionality_with_PCA = PythonOperator(
          task_id='vectorization_reduce_dimensionality_with_PCA',  python_callable=vectorization_reduce_dimensionality_with_PCA
      )
      
      clustering_v01 = PythonOperator(
          task_id='clustering_v01',  python_callable=clustering_v01
      )
      
      tsne_v01 = PythonOperator(
          task_id='tsne_v01',  python_callable=tsne_v01
      )
      
      tsne_cluster_images = DummyOperator(task_id='tsne_cluster_images')
      
      latent_dirichlet_allocation_v01 = PythonOperator(
          task_id='latent_dirichlet_allocation_v01',  python_callable=latent_dirichlet_allocation_v01
      )
      
      doc2vec_transformation_v01 = PythonOperator(
          task_id='doc2vec_transformation_v01',  python_callable=doc2vec_transformation_v01
      )
      further_processing_using_doc2vec_model = DummyOperator(task_id='further_processing_using_doc2vec_model')
      
     
      
  
      start >> load_preprocessed_data_from_s3_and_save_it_locally >> verify_data >> vectorization_compute_sparse_matrix
      vectorization_compute_sparse_matrix >> vectorization_reduce_dimensionality_with_PCA >> clustering_v01
      clustering_v01 >> tsne_v01 >> tsne_cluster_images >> end
      clustering_v01 >> latent_dirichlet_allocation_v01 >> end
      verify_data >> doc2vec_transformation_v01 >> further_processing_using_doc2vec_model >> end
  