![]() ![]() Helper method to check if a customer exist. Template_ext = _init_(self, first_contact_date, bulk_file. This operator creates a new customer in the ACME CRM System. from airflow.exceptions import AirflowExceptionįrom airflow.operators import BaseOperatorįrom import apply_defaulsĬlass CreateCustomerOperator(BaseOperator): These two attributes are iterables that should contain the string values for the fields and/or file extensions that will allow templating with the jinja templating support in Airflow. These are templated_fields and template_ext. There are also two important class attributes that we can set. The apply_defaults decorator wraps the _init_ method of the class which applies the DAG defaults, set in your DAG script, to the task instance of your operator at run time. This is the entry point into your operator for Airflow and it is called when the task in your DAG executes. Operators require that you implement an execute method. Sample code for Operator ( CRMProject/crm_plugin/customer_operator.py) which you will use in DAGs. Hook to interact with the ACME CRM System. from _hook import BaseHookįrom airflow.exceptions import AirflowExceptionįrom crm_sdk import crm_api # import external libraries to interact with target system Don't ever call it directly from system\API. Sample code for hook class - CRMProject/crm_plugin/crm_hook.py. Name = "crm_plugin" # does not need to match the package name Sample code of CRMProject/crm_plugin/_init_.py: # CRMProject/crm_plugin/_init_.pyįrom ugins_manager import AirflowPluginįrom crm_plugin.customer_operator import CreateCustomerOperator, DeleteCustomerOperator, UpdateCustomerOperator For simpler case as one below you don't even need to call hook in operator.įor real case scenario that would look like this: CRMProject/crm_plugin/_init_.pyĬRMProject/crm_plugin/customer_operator.py Proper way would be first to create a hook and than operator which will use this hook. Is this a good way to achieve my goal, or is there a better solution? Does it mean that my approach is correct, because any python module in plugins/ gets imported? My ideal solution would be to move the module common on the same level as dags and operators.Īlso I'm not very sure about how to interpret this sentence from the docs: The python modules in the plugins folder get imported, and hooks, operators, sensors, macros, executors and web views get integrated to Airflow’s main collections and become available for use. I find the airflow import system quite complicated and not very straight forward. I didn't find any guidelines on how to separate shared behaviour. Therefore, I'm afraid it might not be (might stop) working in the future or in specific conditions, as it is neither an operator, nor a sensor etc. I was told by a colleague that he tried to do this in the past (possibly on older version of Airflow) and it was not working ("broken dag" when airflow started). ![]() However, I'm very uncertain whether this is the correct way of doing such thing. It is imported to the operator (in my_operator.py) as: from common.my_enum import MyEnumĪnd in to the dag (in my_dag.py) the same way: from common.my_enum import MyEnum Let's say I want define an enum (in my_enum.py module): class MyEnum(Enum): This is my current hierarchy airflow_home But I also want to use it within a dag definition where it can be used as a parameter. I want to use it within a custom operator (to modify its behaviour). And I'm trying to define a custom module which would contain general functionality which can be used in multiple dags as well as operators.Ī specific example can be an enum. ![]()
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