astronomer.providers.amazon.aws.sensors.s3

Module Contents

Classes

S3KeySensorAsync	Waits for a key (a file-like instance on S3) to be present in a S3 bucket
S3KeySizeSensorAsync	Waits for a key (a file-like instance on S3) to be present and be more than
S3KeysUnchangedSensorAsync	Checks for changes in the number of objects at prefix in AWS S3
S3PrefixSensorAsync	Async implementation of the S3 Prefix Sensor.

class astronomer.providers.amazon.aws.sensors.s3.S3KeySensorAsync(*, bucket_key, bucket_name=None, wildcard_match=False, aws_conn_id='aws_default', verify=None, **kwargs)

Bases: airflow.models.baseoperator.BaseOperator

Waits for a key (a file-like instance on S3) to be present in a S3 bucket asynchronously. S3 being a key/value it does not support folders. The path is just a key a resource.

Parameters

• bucket_key (str) – The key being waited on. Supports full s3:// style url or relative path from root level. When it’s specified as a full s3:// url, please leave bucket_name as None.

• bucket_name (Optional[str]) – Name of the S3 bucket. Only needed when bucket_key is not provided as a full s3:// url.

• wildcard_match (bool) – whether the bucket_key should be interpreted as a Unix wildcard pattern

• aws_conn_id (str) – a reference to the s3 connection

• verify (Optional[Union[str, bool]]) –

  Whether or not to verify SSL certificates for S3 connection. By default SSL certificates are verified. You can provide the following values:

  • False: do not validate SSL certificates. SSL will still be used

    (unless use_ssl is False), but SSL certificates will not be verified.

  • path/to/cert/bundle.pem: A filename of the CA cert bundle to uses.

    You can specify this argument if you want to use a different CA cert bundle than the one used by botocore.

template_fields :Sequence[str] = ['bucket_key', 'bucket_name']

execute(self, context)

Check for a key in s3 and defers using the trigger

execute_complete(self, context, event=None)

Callback for when the trigger fires - returns immediately. Relies on trigger to throw an exception, otherwise it assumes execution was successful.

class astronomer.providers.amazon.aws.sensors.s3.S3KeySizeSensorAsync(*, check_fn=None, **kwargs)

Bases: S3KeySensorAsync

Waits for a key (a file-like instance on S3) to be present and be more than some size in a S3 bucket asynchronously. S3 being a key/value it does not support folders. The path is just a key a resource.

Parameters

• bucket_key – The key being waited on. Supports full s3:// style url or relative path from root level. When it’s specified as a full s3:// url, please leave bucket_name as None.

• bucket_name – Name of the S3 bucket. Only needed when bucket_key is not provided as a full s3:// url.

• wildcard_match – whether the bucket_key should be interpreted as a Unix wildcard pattern

• aws_conn_id – a reference to the s3 connection

• verify –

  Whether or not to verify SSL certificates for S3 connection. By default SSL certificates are verified. You can provide the following values:

  • False: do not validate SSL certificates. SSL will still be used

    (unless use_ssl is False), but SSL certificates will not be verified.

  • path/to/cert/bundle.pem: A filename of the CA cert bundle to uses.

    You can specify this argument if you want to use a different CA cert bundle than the one used by botocore.

• check_fn (Optional[Callable[Ellipsis, bool]]) –

  Function that receives the list of the S3 objects, and returns the boolean: - True: a certain criteria is met - False: the criteria isn’t met Example: Wait for any S3 object size more than 1 megabyte

  def check_fn(self, data: List) -> bool:
      return any(f.get('Size', 0) > 1048576 for f in data if isinstance(f, dict))
  

execute(self, context)

Defers using the trigger, and check for the file size

execute_complete(self, context, event=None)

Callback for when the trigger fires - returns immediately. Relies on trigger to throw an exception, otherwise it assumes execution was successful.

class astronomer.providers.amazon.aws.sensors.s3.S3KeysUnchangedSensorAsync(*, bucket_name, prefix, aws_conn_id='aws_default', verify=None, inactivity_period=60 * 60, min_objects=1, previous_objects=None, allow_delete=True, **kwargs)

Bases: airflow.models.baseoperator.BaseOperator

Checks for changes in the number of objects at prefix in AWS S3 bucket and returns True if the inactivity period has passed with no increase in the number of objects. Note, this sensor will not behave correctly in reschedule mode, as the state of the listed objects in the S3 bucket will be lost between rescheduled invocations.

Parameters

• bucket_name (str) – Name of the S3 bucket

• prefix (str) – The prefix being waited on. Relative path from bucket root level.

• aws_conn_id (str) – a reference to the s3 connection

• verify (Optional[Union[bool, str]]) –

  Whether or not to verify SSL certificates for S3 connection. By default SSL certificates are verified. You can provide the following values:

  • False: do not validate SSL certificates. SSL will still be used

    (unless use_ssl is False), but SSL certificates will not be verified.

  • path/to/cert/bundle.pem: A filename of the CA cert bundle to uses.

    You can specify this argument if you want to use a different CA cert bundle than the one used by botocore.

• inactivity_period (float) – The total seconds of inactivity to designate keys unchanged. 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.

• min_objects (int) – The minimum number of objects needed for keys unchanged sensor to be considered valid.

• previous_objects (Optional[Set[str]]) – The set of object ids found during the last poke.

• allow_delete (bool) – 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.

template_fields :Sequence[str] = ['bucket_name', 'prefix']

execute(self, context)

Defers Trigger class to check for changes in the number of objects at prefix in AWS S3

execute_complete(self, context, event=None)

Callback for when the trigger fires - returns immediately. Relies on trigger to throw an exception, otherwise it assumes execution was successful.

class astronomer.providers.amazon.aws.sensors.s3.S3PrefixSensorAsync(*, bucket_name, prefix, delimiter='/', aws_conn_id='aws_default', verify=None, **kwargs)

Bases: airflow.models.baseoperator.BaseOperator

Async implementation of the S3 Prefix Sensor. Gets deferred onto the Trigggerer and pokes for a prefix or all prefixes to exist. A prefix is the first part of a key,thus enabling checking of constructs similar to glob airfl* or SQL LIKE 'airfl%'. There is the possibility to precise a delimiter to indicate the hierarchy or keys, meaning that the match will stop at that delimiter. Current code accepts sane delimiters, i.e. characters that are NOT special characters in the Python regex engine.

Parameters

• bucket_name (str) – Name of the S3 bucket

• prefix (Union[str, List[str]]) – The prefix being waited on. Relative path from bucket root level.

• delimiter (str) – The delimiter intended to show hierarchy. Defaults to ‘/’.

• aws_conn_id (str) – a reference to the s3 connection

• verify (Optional[Union[str, bool]]) –

  Whether to verify SSL certificates for S3 connection. By default, SSL certificates are verified. You can provide the following values:

  • False: do not validate SSL certificates. SSL will still be used

    (unless use_ssl is False), but SSL certificates will not be verified.

  • path/to/cert/bundle.pem: A filename of the CA cert bundle to uses.

    You can specify this argument if you want to use a different CA cert bundle than the one used by botocore.

template_fields :Sequence[str] = ['prefix', 'bucket_name']

execute(self, context)

Defers trigger class to poke for a prefix or all prefixes to exist

execute_complete(self, context, event)

Callback for when the trigger fires - returns immediately. Relies on trigger to throw an exception, otherwise it assumes execution was successful.