execute ( self, context : Dict ) ¶ class. The condition is determined by the result of python_callable. True, downstream tasks proceed as normal. Anyĭownstream tasks are marked with a state of “skipped”. It evaluates aĬondition and short-circuits the workflow if the condition is False. The ShortCircuitOperator is derived from the PythonOperator. Workflow “short-circuits” and downstream tasks are skipped. ShortCircuitOperator ¶Īllows a workflow to continue only if a condition is met. The skipped states are propagatedĭownstream to allow for the DAG state to fill up and the DAG run’s state Or directly downstream tasks are marked with a state of skipped so that Should point to a task directly downstream from. It derives the PythonOperator and expects a Python function that returnsĪ single task_id or list of task_ids to follow. BranchPythonOperator ¶īases:, Īllows a workflow to “branch” or follow a path following the execution Template_fields = ¶ template_fields_renderers ¶ BLUE = #ffefeb ¶ ui_color ¶ shallow_copy_attrs = ¶ execute ( self, context : Dict ) ¶ execute_callable ( self ) ¶Ĭalls the python callable with the given arguments. Processing templated fields, for examples Templates_exts ( list ) – a list of file extensions to resolve while In your callable’s context after the template has been applied. _init_ and execute takes place and are made available Will get templated by the Airflow engine sometime between Templates_dict ( dict ) – a dictionary where the values are templates that Op_args ( list ( templated )) – a list of positional arguments that will get unpacked when Op_kwargs ( dict ( templated )) – a dictionary of keyword arguments that will get unpacked PythonOperator ( *, python_callable : Callable, op_args : Optional = None, op_kwargs : Optional = None, templates_dict : Optional = None, templates_exts : Optional ] = None, ** kwargs ) ¶ĭef my_python_callable ( ** kwargs ): ti = kwargs next_ds = kwargs Parameters Dict will unroll to xcom values with keys as keys.Ĭlass. You can rate examples to help us improve the quality of examples. Multiple_outputs ( bool) – if set, function return value will be These are the top rated real world Python examples of extracted from open source projects. Op_args ( list) – a list of positional arguments that will get unpacked when
Op_kwargs ( dict) – a dictionary of keyword arguments that will get unpacked Python_callable ( python callable) – A reference to an object that is callable To run a function called mycallable, simply use the following: from import PythonVirtualenvOperator mytask PythonVirtualenvOperator ( taskid'mytask ', requirements'python-rapidjson1.5. Please use the following instead:įrom corators import my_task() Parameters task ( python_callable : Optional = None, multiple_outputs : Optional = None, ** kwargs ) ¶ Deprecated function that calls and allows users to turn a python function into an Airflow task.
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