Source code for airflow.contrib.hooks.aws_hook

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import boto3
import configparser
import logging

from airflow.exceptions import AirflowException
from airflow.hooks.base_hook import BaseHook

[docs]def _parse_s3_config(config_file_name, config_format='boto', profile=None): """ Parses a config file for s3 credentials. Can currently parse boto, s3cmd.conf and AWS SDK config formats :param config_file_name: path to the config file :type config_file_name: str :param config_format: config type. One of "boto", "s3cmd" or "aws". Defaults to "boto" :type config_format: str :param profile: profile name in AWS type config file :type profile: str """ config = configparser.ConfigParser() if # pragma: no cover sections = config.sections() else: raise AirflowException("Couldn't read {0}".format(config_file_name)) # Setting option names depending on file format if config_format is None: config_format = 'boto' conf_format = config_format.lower() if conf_format == 'boto': # pragma: no cover if profile is not None and 'profile ' + profile in sections: cred_section = 'profile ' + profile else: cred_section = 'Credentials' elif conf_format == 'aws' and profile is not None: cred_section = profile else: cred_section = 'default' # Option names if conf_format in ('boto', 'aws'): # pragma: no cover key_id_option = 'aws_access_key_id' secret_key_option = 'aws_secret_access_key' # security_token_option = 'aws_security_token' else: key_id_option = 'access_key' secret_key_option = 'secret_key' # Actual Parsing if cred_section not in sections: raise AirflowException("This config file format is not recognized") else: try: access_key = config.get(cred_section, key_id_option) secret_key = config.get(cred_section, secret_key_option) except Exception: logging.warning("Option Error in parsing s3 config file") raise return access_key, secret_key
[docs]class AwsHook(BaseHook): """ Interact with AWS. This class is a thin wrapper around the boto3 python library. """ def __init__(self, aws_conn_id='aws_default', verify=None): self.aws_conn_id = aws_conn_id self.verify = verify
[docs] def _get_credentials(self, region_name): aws_access_key_id = None aws_secret_access_key = None aws_session_token = None endpoint_url = None if self.aws_conn_id: try: connection_object = self.get_connection(self.aws_conn_id) extra_config = connection_object.extra_dejson if connection_object.login: aws_access_key_id = connection_object.login aws_secret_access_key = connection_object.password elif 'aws_secret_access_key' in extra_config: aws_access_key_id = extra_config[ 'aws_access_key_id'] aws_secret_access_key = extra_config[ 'aws_secret_access_key'] elif 's3_config_file' in extra_config: aws_access_key_id, aws_secret_access_key = \ _parse_s3_config( extra_config['s3_config_file'], extra_config.get('s3_config_format'), extra_config.get('profile')) if region_name is None: region_name = extra_config.get('region_name') role_arn = extra_config.get('role_arn') external_id = extra_config.get('external_id') aws_account_id = extra_config.get('aws_account_id') aws_iam_role = extra_config.get('aws_iam_role') if role_arn is None and aws_account_id is not None and \ aws_iam_role is not None: role_arn = "arn:aws:iam::{}:role/{}" \ .format(aws_account_id, aws_iam_role) if role_arn is not None: sts_session = boto3.session.Session( aws_access_key_id=aws_access_key_id, aws_secret_access_key=aws_secret_access_key, region_name=region_name) sts_client = sts_session.client('sts') if external_id is None: sts_response = sts_client.assume_role( RoleArn=role_arn, RoleSessionName='Airflow_' + self.aws_conn_id) else: sts_response = sts_client.assume_role( RoleArn=role_arn, RoleSessionName='Airflow_' + self.aws_conn_id, ExternalId=external_id) credentials = sts_response['Credentials'] aws_access_key_id = credentials['AccessKeyId'] aws_secret_access_key = credentials['SecretAccessKey'] aws_session_token = credentials['SessionToken'] endpoint_url = extra_config.get('host') except AirflowException: # No connection found: fallback on boto3 credential strategy # pass return boto3.session.Session( aws_access_key_id=aws_access_key_id, aws_secret_access_key=aws_secret_access_key, aws_session_token=aws_session_token, region_name=region_name), endpoint_url
[docs] def get_client_type(self, client_type, region_name=None, config=None): session, endpoint_url = self._get_credentials(region_name) return session.client(client_type, endpoint_url=endpoint_url, config=config, verify=self.verify)
[docs] def get_resource_type(self, resource_type, region_name=None, config=None): session, endpoint_url = self._get_credentials(region_name) return session.resource(resource_type, endpoint_url=endpoint_url, config=config, verify=self.verify)
[docs] def get_session(self, region_name=None): """Get the underlying boto3.session.""" session, _ = self._get_credentials(region_name) return session
[docs] def get_credentials(self, region_name=None): """Get the underlying `botocore.Credentials` object. This contains the following authentication attributes: access_key, secret_key and token. """ session, _ = self._get_credentials(region_name) # Credentials are refreshable, so accessing your access key and # secret key separately can lead to a race condition. # See return session.get_credentials().get_frozen_credentials()
[docs] def expand_role(self, role): """ If the IAM role is a role name, get the Amazon Resource Name (ARN) for the role. If IAM role is already an IAM role ARN, no change is made. :param role: IAM role name or ARN :return: IAM role ARN """ if '/' in role: return role else: return self.get_client_type('iam').get_role(RoleName=role)['Role']['Arn']