Source code for airflow.sensors.s3_key_sensor

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from urllib.parse import urlparse

from airflow.exceptions import AirflowException
from airflow.sensors.base_sensor_operator import BaseSensorOperator
from airflow.utils.decorators import apply_defaults

[docs]class S3KeySensor(BaseSensorOperator): """ Waits for a key (a file-like instance on S3) to be present in a S3 bucket. S3 being a key/value it does not support folders. The path is just a key a resource. :param bucket_key: The key being waited on. Supports full s3:// style url or relative path from root level. :type bucket_key: str :param bucket_name: Name of the S3 bucket :type bucket_name: str :param wildcard_match: whether the bucket_key should be interpreted as a Unix wildcard pattern :type wildcard_match: bool :param aws_conn_id: a reference to the s3 connection :type aws_conn_id: str :param 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. :type verify: bool or str """
[docs] template_fields = ('bucket_key', 'bucket_name')
@apply_defaults def __init__(self, bucket_key, bucket_name=None, wildcard_match=False, aws_conn_id='aws_default', verify=None, *args, **kwargs): super(S3KeySensor, self).__init__(*args, **kwargs) # Parse if bucket_name is None: parsed_url = urlparse(bucket_key) if parsed_url.netloc == '': raise AirflowException('Please provide a bucket_name') else: bucket_name = parsed_url.netloc if parsed_url.path[0] == '/': bucket_key = parsed_url.path[1:] else: bucket_key = parsed_url.path self.bucket_name = bucket_name self.bucket_key = bucket_key self.wildcard_match = wildcard_match self.aws_conn_id = aws_conn_id self.verify = verify
[docs] def poke(self, context): from airflow.hooks.S3_hook import S3Hook hook = S3Hook(aws_conn_id=self.aws_conn_id, verify=self.verify)'Poking for key : s3://%s/%s', self.bucket_name, self.bucket_key) if self.wildcard_match: return hook.check_for_wildcard_key(self.bucket_key, self.bucket_name) else: return hook.check_for_key(self.bucket_key, self.bucket_name)

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