![]() ![]() Goodbye_bash = bash_operator.BashOperator( # Likewise, the goodbye_bash task calls a Bash script. Hello_python = python_operator.PythonOperator( # hello_python task calls the "greeting" Python function. # An instance of an operator is called a task. Schedule_interval=datetime.timedelta(days=1), # Any task you create within the context manager is automatically added to the # Define a DAG (directed acyclic graph) of tasks. # fixed point in time rather than dynamically, since it is evaluated every # The start_date describes when a DAG is valid / can be run. YESTERDAY = () - datetime.timedelta(days=1) Scenario 1:(not passing any argument in method):ĭagftp.py from _future_ import print_functionįrom airflow.operators import bash_operatorįrom airflow.operators import python_operator I used the sample code by using the same import function as yours, but changed the URL to ftp.us. to connect to the FTP server and tried to run the dag tasks. Self.sock = socket.create_connection((self.host, self.port), self.timeout,įile "/opt/python3.8/lib/python3.8/socket.py", line 808, in create_connectionįile "/opt/python3.8/lib/python3.8/socket.py", line 796, in create_connection Return self.python_callable(*self.op_args, **self.op_kwargs)įile "/home/airflow/gcs/dags/RAIS_ETL.py", line 31, in downloadDataįile "/opt/python3.8/lib/python3.8/ftplib.py", line 117, in _init_įile "/opt/python3.8/lib/python3.8/ftplib.py", line 152, in connect Result = task_copy.execute(context=context)įile "/opt/python3.8/lib/python3.8/site-packages/airflow/operators/python.py", line 117, in executeįile "/opt/python3.8/lib/python3.8/site-packages/airflow/operators/python.py", line 128, in execute_callable Result = self._execute_task(context, task_copy)įile "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1317, in _execute_task Self._prepare_and_execute_task_with_callbacks(context, task)įile "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1287, in _prepare_and_execute_task_with_callbacks When running the code on a local Jupyter Notebook, the connections runs flawlessly from ftplib import FTPīut running the same lines on the cloud applications returns ERROR - Connection timed outįile "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1113, in _run_raw_task However, it times out and fails to connect when using the custom VPC network.I've been having some trouble connecting to an FTP server using google's cloud applications (both Airflow running on Composer and Colaboratory) The Cloud Function works as expected and connects to the FTP server when using the default VPC network. Return 'Successfully connected to FTP server', 200 Return 'Failed to connect to FTP server', 500 If not test_ftp_connection(server, username, password): If request_json and 'server' in request_json:Įlif request_args and 'server' in request_args: If request_json and 'password' in request_json:Įlif request_args and 'password' in request_args: ![]() If request_json and 'username' in request_json:Įlif request_args and 'username' in request_args: Request_json = request.get_json(silent=True) My Cloud Function can access the internet using the custom VPC network (e.g., by sending an HTTP request to ) and retrieve the static IP configured on the cloud-nat, but it fails to connect to the FTP server only when using the custom VPC network.īelow is the Cloud Function code I'm using to connect to the FTP server: import osĭef test_ftp_connection(server, username, password):įtp.login(user=username, passwd=password).I have verified that the custom VPC network is configured with a Cloud NAT gateway to allow instances (and the VPC Connector) to access the internet.I have copied the firewall rules from the default VPC network to the custom VPC network, ensuring that they allow the same traffic (including the rule for default-allow-internal with the custom subnet's IP range). ![]()
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