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:py:mod:`airflow.providers.google.cloud.sensors.gcs`
====================================================
.. py:module:: airflow.providers.google.cloud.sensors.gcs
.. autoapi-nested-parse::
This module contains Google Cloud Storage sensors.
Module Contents
---------------
Classes
~~~~~~~
.. autoapisummary::
airflow.providers.google.cloud.sensors.gcs.GCSObjectExistenceSensor
airflow.providers.google.cloud.sensors.gcs.GCSObjectUpdateSensor
airflow.providers.google.cloud.sensors.gcs.GCSObjectsWithPrefixExistenceSensor
airflow.providers.google.cloud.sensors.gcs.GCSUploadSessionCompleteSensor
Functions
~~~~~~~~~
.. autoapisummary::
airflow.providers.google.cloud.sensors.gcs.ts_function
airflow.providers.google.cloud.sensors.gcs.get_time
.. py:class:: GCSObjectExistenceSensor(*, bucket, object, google_cloud_conn_id = 'google_cloud_default', delegate_to = None, impersonation_chain = None, **kwargs)
Bases: :py:obj:`airflow.sensors.base.BaseSensorOperator`
Checks for the existence of a file in Google Cloud Storage.
:param bucket: The Google Cloud Storage bucket where the object is.
:param object: The name of the object to check in the Google cloud
storage bucket.
:param google_cloud_conn_id: The connection ID to use when
connecting to Google Cloud Storage.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
.. py:attribute:: template_fields
:annotation: :Sequence[str] = ['bucket', 'object', 'impersonation_chain']
.. py:attribute:: ui_color
:annotation: = #f0eee4
.. py:method:: poke(self, context)
Function that the sensors defined while deriving this class should
override.
.. py:function:: ts_function(context)
Default callback for the GoogleCloudStorageObjectUpdatedSensor. The default
behaviour is check for the object being updated after the data interval's
end, or execution_date + interval on Airflow versions prior to 2.2 (before
AIP-39 implementation).
.. py:class:: GCSObjectUpdateSensor(bucket, object, ts_func = ts_function, google_cloud_conn_id = 'google_cloud_default', delegate_to = None, impersonation_chain = None, **kwargs)
Bases: :py:obj:`airflow.sensors.base.BaseSensorOperator`
Checks if an object is updated in Google Cloud Storage.
:param bucket: The Google Cloud Storage bucket where the object is.
:param object: The name of the object to download in the Google cloud
storage bucket.
:param ts_func: Callback for defining the update condition. The default callback
returns execution_date + schedule_interval. The callback takes the context
as parameter.
:param google_cloud_conn_id: The connection ID to use when
connecting to Google Cloud Storage.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
.. py:attribute:: template_fields
:annotation: :Sequence[str] = ['bucket', 'object', 'impersonation_chain']
.. py:attribute:: ui_color
:annotation: = #f0eee4
.. py:method:: poke(self, context)
Function that the sensors defined while deriving this class should
override.
.. py:class:: GCSObjectsWithPrefixExistenceSensor(bucket, prefix, google_cloud_conn_id = 'google_cloud_default', delegate_to = None, impersonation_chain = None, **kwargs)
Bases: :py:obj:`airflow.sensors.base.BaseSensorOperator`
Checks for the existence of GCS objects at a given prefix, passing matches via XCom.
When files matching the given prefix are found, the poke method's criteria will be
fulfilled and the matching objects will be returned from the operator and passed
through XCom for downstream tasks.
:param bucket: The Google Cloud Storage bucket where the object is.
:param prefix: The name of the prefix to check in the Google cloud
storage bucket.
:param google_cloud_conn_id: The connection ID to use when
connecting to Google Cloud Storage.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
.. py:attribute:: template_fields
:annotation: :Sequence[str] = ['bucket', 'prefix', 'impersonation_chain']
.. py:attribute:: ui_color
:annotation: = #f0eee4
.. py:method:: poke(self, context)
Function that the sensors defined while deriving this class should
override.
.. py:method:: execute(self, context)
Overridden to allow matches to be passed
.. py:function:: get_time()
This is just a wrapper of datetime.datetime.now to simplify mocking in the
unittests.
.. py:class:: GCSUploadSessionCompleteSensor(bucket, prefix, inactivity_period = 60 * 60, min_objects = 1, previous_objects = None, allow_delete = True, google_cloud_conn_id = 'google_cloud_default', delegate_to = None, impersonation_chain = None, **kwargs)
Bases: :py:obj:`airflow.sensors.base.BaseSensorOperator`
Checks for changes in the number of objects at prefix in Google Cloud Storage
bucket and returns True if the inactivity period has passed with no
increase in the number of objects. Note, this sensor will no behave correctly
in reschedule mode, as the state of the listed objects in the GCS bucket will
be lost between rescheduled invocations.
:param bucket: The Google Cloud Storage bucket where the objects are.
expected.
:param prefix: The name of the prefix to check in the Google cloud
storage bucket.
:param inactivity_period: The total seconds of inactivity to designate
an upload session is over. Note, this mechanism is not real time and
this operator may not return until a poke_interval after this period
has passed with no additional objects sensed.
:param min_objects: The minimum number of objects needed for upload session
to be considered valid.
:param previous_objects: The set of object ids found during the last poke.
:param allow_delete: Should this sensor consider objects being deleted
between pokes valid behavior. If true a warning message will be logged
when this happens. If false an error will be raised.
:param google_cloud_conn_id: The connection ID to use when connecting
to Google Cloud Storage.
:param delegate_to: The account to impersonate using domain-wide delegation of authority,
if any. For this to work, the service account making the request must have
domain-wide delegation enabled.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
.. py:attribute:: template_fields
:annotation: :Sequence[str] = ['bucket', 'prefix', 'impersonation_chain']
.. py:attribute:: ui_color
:annotation: = #f0eee4
.. py:method:: is_bucket_updated(self, current_objects)
Checks whether new objects have been uploaded and the inactivity_period
has passed and updates the state of the sensor accordingly.
:param current_objects: set of object ids in bucket during last poke.
.. py:method:: poke(self, context)
Function that the sensors defined while deriving this class should
override.