incubator-airflow/docs/macros-ref.rst

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.. Licensed to the Apache Software Foundation (ASF) under one
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to you under the Apache License, Version 2.0 (the
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.. http://www.apache.org/licenses/LICENSE-2.0
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Macros reference
================
Variables and macros can be used in templates (see the :ref:`jinja-templating` section)
The following come for free out of the box with Airflow.
Additional custom macros can be added globally through :ref:`plugins`, or at a DAG level through the ``DAG.user_defined_macros`` argument.
Default Variables
-----------------
The Airflow engine passes a few variables by default that are accessible
in all templates
===================================== ====================================
Variable Description
===================================== ====================================
``{{ ds }}`` the execution date as ``YYYY-MM-DD``
``{{ ds_nodash }}`` the execution date as ``YYYYMMDD``
``{{ prev_ds }}`` the previous execution date as ``YYYY-MM-DD``
if ``{{ ds }}`` is ``2018-01-08`` and ``schedule_interval`` is ``@weekly``,
``{{ prev_ds }}`` will be ``2018-01-01``
``{{ prev_ds_nodash }}`` the previous execution date as ``YYYYMMDD`` if exists, else ``None``
``{{ next_ds }}`` the next execution date as ``YYYY-MM-DD``
if ``{{ ds }}`` is ``2018-01-01`` and ``schedule_interval`` is ``@weekly``,
``{{ next_ds }}`` will be ``2018-01-08``
``{{ next_ds_nodash }}`` the next execution date as ``YYYYMMDD`` if exists, else ``None``
``{{ yesterday_ds }}`` the day before the execution date as ``YYYY-MM-DD``
``{{ yesterday_ds_nodash }}`` the day before the execution date as ``YYYYMMDD``
``{{ tomorrow_ds }}`` the day after the execution date as ``YYYY-MM-DD``
``{{ tomorrow_ds_nodash }}`` the day after the execution date as ``YYYYMMDD``
``{{ ts }}`` same as ``execution_date.isoformat()``. Example: ``2018-01-01T00:00:00+00:00``
``{{ ts_nodash }}`` same as ``ts`` without ``-``, ``:`` and TimeZone info. Example: ``20180101T000000``
``{{ ts_nodash_with_tz }}`` same as ``ts`` without ``-`` and ``:``. Example: ``20180101T000000+0000``
``{{ execution_date }}`` the execution_date (`pendulum.Pendulum`_)
``{{ prev_execution_date }}`` the previous execution date (if available) (`pendulum.Pendulum`_)
``{{ prev_execution_date_success }}`` execution date from prior succesful dag run (if available) (`pendulum.Pendulum`_)
``{{ prev_start_date_success }}`` start date from prior successful dag run (if available) (`pendulum.Pendulum`_)
``{{ next_execution_date }}`` the next execution date (`pendulum.Pendulum`_)
``{{ dag }}`` the DAG object
``{{ task }}`` the Task object
``{{ macros }}`` a reference to the macros package, described below
``{{ task_instance }}`` the task_instance object
``{{ ti }}`` same as ``{{ task_instance }}``
``{{ params }}`` a reference to the user-defined params dictionary which can be overridden by
the dictionary passed through ``trigger_dag -c`` if you enabled
``dag_run_conf_overrides_params` in ``airflow.cfg``
``{{ var.value.my_var }}`` global defined variables represented as a dictionary
``{{ var.json.my_var.path }}`` global defined variables represented as a dictionary
with deserialized JSON object, append the path to the
key within the JSON object
``{{ task_instance_key_str }}`` a unique, human-readable key to the task instance
formatted ``{dag_id}_{task_id}_{ds}``
``{{ conf }}`` the full configuration object located at
``airflow.configuration.conf`` which
represents the content of your
``airflow.cfg``
``{{ run_id }}`` the ``run_id`` of the current DAG run
``{{ dag_run }}`` a reference to the DagRun object
``{{ test_mode }}`` whether the task instance was called using
the CLI's test subcommand
===================================== ====================================
Note that you can access the object's attributes and methods with simple
dot notation. Here are some examples of what is possible:
``{{ task.owner }}``, ``{{ task.task_id }}``, ``{{ ti.hostname }}``, ...
Refer to the models documentation for more information on the objects'
attributes and methods.
The ``var`` template variable allows you to access variables defined in Airflow's
UI. You can access them as either plain-text or JSON. If you use JSON, you are
also able to walk nested structures, such as dictionaries like:
``{{ var.json.my_dict_var.key1 }}``
Macros
------
Macros are a way to expose objects to your templates and live under the
``macros`` namespace in your templates.
A few commonly used libraries and methods are made available.
================================= ==============================================
Variable Description
================================= ==============================================
``macros.datetime`` The standard lib's :class:`datetime.datetime`
``macros.timedelta`` The standard lib's :class:`datetime.timedelta`
``macros.dateutil`` A reference to the ``dateutil`` package
``macros.time`` The standard lib's :class:`datetime.time`
``macros.uuid`` The standard lib's :mod:`uuid`
``macros.random`` The standard lib's :mod:`random`
================================= ==============================================
Some airflow specific macros are also defined:
.. automodule:: airflow.macros
:show-inheritance:
:members:
.. autofunction:: airflow.macros.hive.closest_ds_partition
.. autofunction:: airflow.macros.hive.max_partition
.. _pendulum.Pendulum: https://pendulum.eustace.io/docs/1.x/#introduction