Read files from Windows shared folder using Airflow on remote server?

To read files from a Windows shared folder using Apache Airflow on a remote server, you can use the smbclient library in conjunction with Airflow's PythonOperator to execute Python code within your DAG. Here's an example of how you can achieve this:

1. Install smbclient library: Install the smbclient library, which provides SMB/CIFS protocol support, by running the following command in your Airflow environment:

   bashCopy code
   pip install pysmbclient
   
   

2. Import necessary modules: In your DAG file, import the required modules for Airflow and smbclient:

   pythonCopy code
   from airflow import DAG
   
   from airflow.operators.python_operator import PythonOperator
   
   from smb.SMBConnection import SMBConnection
   
   

3. Define the function to read files from the shared folder: Create a Python function that uses smbclient to connect to the Windows shared folder and read the files. Here's an example:

   pythonCopy code
   def read_files_from_shared_folder():
   
       # Establish a connection to the Windows shared folder
   
       conn = SMBConnection('<username>', '<password>', '<local_client_name>', '<remote_server_name>', use_ntlm_v2=True)
   
       conn.connect('<remote_server_ip>', 445)
   
   
   
       # List files in the shared folder
   
       files = conn.listPath('<shared_folder_name>', '<file_path>')
   
   
   
       # Read file content
   
       for file in files:
   
           if file.isDirectory:
   
               continue
   
           file_path = f"{<shared_folder_name>}/{file.filename}"
   
           file_content = conn.retrieveFile('<shared_folder_name>', file_path)
   
   
   
           # Process file content as needed
   
           print(file_content)
   
   
   
       # Disconnect from the shared folder
   
       conn.close()
   
   

   Replace the placeholders (<username>, <password>, <local_client_name>, <remote_server_name>, <remote_server_ip>, <shared_folder_name>, <file_path>) with your specific values.

4. Define the Airflow DAG and task: Create an Airflow DAG and define a PythonOperator that executes the read_files_from_shared_folder function:

   pythonCopy code
   default_args = {
   
       'owner': 'your-name',
   
       'start_date': datetime.datetime(2022, 1, 1),
   
   }
   
   
   
   with DAG('read_files_from_shared_folder_dag', schedule_interval=None, default_args=default_args) as dag:
   
       read_files_task = PythonOperator(
   
           task_id='read_files_task',
   
           python_callable=read_files_from_shared_folder,
   
       )
   
   

5. Configure and run Airflow: Configure Airflow to connect to your remote server, ensure the correct permissions are set for accessing the shared folder, and start the Airflow scheduler and web server.

When the DAG runs, the read_files_from_shared_folder function will be executed by the PythonOperator, establishing a connection to the Windows shared folder, listing the files, and reading their content.

Please ensure that you have the necessary permissions and network connectivity to access the Windows shared folder from the remote server where Airflow is running. Adjust the function and DAG code according to your specific requirements and environment.