Python session.create_client方法代碼示例

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def _s3_conn(context):
    region = CONF.s3_region
    ec2_creds = clients.keystone(context).ec2.list(context.user_id)

    # Here we a) disable user's default config to let ec2api works independetly
    # of user's local settings;
    # b) specify region to be used by botocore;
    # c) do not change standard botocore keys to get these settings
    # from environment
    connection_data = {
        'config_file': (None, 'AWS_CONFIG_FILE', None, None),
        'region': ('region', 'AWS_DEFAULT_REGION', region, None),
    }
    session = botocore.session.get_session(connection_data)
    return session.create_client(
        's3', region_name=region, endpoint_url=CONF.s3_url,
        aws_access_key_id=ec2_creds[0].access,
        aws_secret_access_key=ec2_creds[0].secret,
        config=botocore.config.Config(signature_version='s3v4')) 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def _get_client(client_name, url, region, access, secret, ca_bundle):
    connection_data = {
        'config_file': (None, 'AWS_CONFIG_FILE', None, None),
        'region': ('region', 'AWS_DEFAULT_REGION', region, None),
    }
    session = botocore.session.get_session(connection_data)
    kwargs = {
        'region_name': region,
        'endpoint_url': url,
        'aws_access_key_id': access,
        'aws_secret_access_key': secret
    }
    if ca_bundle:
        try:
            kwargs['verify'] = types.Boolean()(ca_bundle)
        except Exception:
            kwargs['verify'] = ca_bundle
    return session.create_client(client_name, **kwargs) 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def get_existing_graph(session: Optional[botocore.session.Session], account: Optional[str], debug=False) -> Graph:
    """Returns a Graph object stored on-disk in a standard location (per-OS, using the get_storage_root utility function
    in principalmapper.util.storage). Uses the session/account parameter to choose the directory from under the
    standard location.
    """
    if account is not None:
        dprint(debug, 'Loading account data based on parameter --account')
        graph = get_graph_from_disk(os.path.join(get_storage_root(), account))
    elif session is not None:
        dprint(debug, 'Loading account data using a botocore session object')
        stsclient = session.create_client('sts')
        response = stsclient.get_caller_identity()
        graph = get_graph_from_disk(os.path.join(get_storage_root(), response['Account']))
    else:
        raise ValueError('One of the parameters `account` or `session` must not be None')
    return graph 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def get_s3_content_and_delete(bucket, path, with_key=False):
    """ Get content from s3 key, and delete key afterwards.
    """
    if is_botocore():
        import botocore.session
        session = botocore.session.get_session()
        client = session.create_client('s3')
        key = client.get_object(Bucket=bucket, Key=path)
        content = key['Body'].read()
        client.delete_object(Bucket=bucket, Key=path)
    else:
        import boto
        # assuming boto=2.2.2
        bucket = boto.connect_s3().get_bucket(bucket, validate=False)
        key = bucket.get_key(path)
        content = key.get_contents_as_string()
        bucket.delete_key(path)
    return (content, key) if with_key else content 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def __init__(self, uri):
        self.is_botocore = is_botocore()
        if self.is_botocore:
            import botocore.session
            session = botocore.session.get_session()
            self.s3_client = session.create_client(
                's3',
                aws_access_key_id=self.AWS_ACCESS_KEY_ID,
                aws_secret_access_key=self.AWS_SECRET_ACCESS_KEY,
                endpoint_url=self.AWS_ENDPOINT_URL,
                region_name=self.AWS_REGION_NAME,
                use_ssl=self.AWS_USE_SSL,
                verify=self.AWS_VERIFY
            )
        else:
            from boto.s3.connection import S3Connection
            self.S3Connection = S3Connection
        assert uri.startswith('s3://')
        self.bucket, self.prefix = uri[5:].split('/', 1) 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def get_session(self, region_name, role_arn):
        """
        Assumes the given role and returns a session object assuming said role.
        """
        session = botocore.session.get_session()
        if region_name is not None:
            session.set_config_variable('region', region_name)

        if role_arn is not None:
            sts = session.create_client(AUTH_SERVICE, region_name=region_name)
            credentials_dict = sts.assume_role(
                RoleArn=role_arn,
                RoleSessionName='EKSGetTokenAuth'
            )['Credentials']

            session.set_credentials(credentials_dict['AccessKeyId'],
                                    credentials_dict['SecretAccessKey'],
                                    credentials_dict['SessionToken'])
            return session
        else:
            return session 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def test_ddb_table_name():
    ddb = session.create_client('dynamodb', region_name='us-west-2')
    response = {
        'ResponseMetadata': {
            'RequestId': REQUEST_ID,
            'HTTPStatusCode': 403,
        }
    }

    with Stubber(ddb) as stubber:
        stubber.add_response('describe_table', response, {'TableName': 'mytable'})
        ddb.describe_table(TableName='mytable')

    subsegment = xray_recorder.current_segment().subsegments[0]
    assert subsegment.error
    assert subsegment.http['response']['status'] == 403

    aws_meta = subsegment.aws
    assert aws_meta['table_name'] == 'mytable'
    assert aws_meta['request_id'] == REQUEST_ID
    assert aws_meta['region'] == 'us-west-2'
    assert aws_meta['operation'] == 'DescribeTable' 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def test_map_parameter_grouping():
    """
    Test special parameters that have shape of map are recorded
    as a list of keys based on `para_whitelist.json`
    """
    ddb = session.create_client('dynamodb', region_name='us-west-2')
    response = {
        'ResponseMetadata': {
            'RequestId': REQUEST_ID,
            'HTTPStatusCode': 500,
        }
    }

    with Stubber(ddb) as stubber:
        stubber.add_response('batch_write_item', response, {'RequestItems': ANY})
        ddb.batch_write_item(RequestItems={'table1': [{}], 'table2': [{}]})

    subsegment = xray_recorder.current_segment().subsegments[0]
    assert subsegment.fault
    assert subsegment.http['response']['status'] == 500

    aws_meta = subsegment.aws
    assert sorted(aws_meta['table_names']) == ['table1', 'table2'] 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def test_sns_publish_parameters():
    sns = session.create_client('sns', region_name='us-west-2')
    response = {
        'ResponseMetadata': {
            'RequestId': REQUEST_ID,
            'HTTPStatusCode': 200,
        }
    }

    with Stubber(sns) as stubber:
        stubber.add_response('publish', response, {'TopicArn': 'myAmazingTopic', 'Message': 'myBodaciousMessage'})
        sns.publish(TopicArn='myAmazingTopic', Message='myBodaciousMessage')

    subsegment = xray_recorder.current_segment().subsegments[0]
    assert subsegment.http['response']['status'] == 200

    aws_meta = subsegment.aws
    assert aws_meta['topic_arn'] == 'myAmazingTopic'
    assert aws_meta['request_id'] == REQUEST_ID
    assert aws_meta['region'] == 'us-west-2'
    assert aws_meta['operation'] == 'Publish' 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def test_only_dynamodb_calls_are_traced():
    """Test only a single subsegment is created for other AWS services.

    As the pynamodb patch applies the botocore patch as well, we need
    to ensure that only one subsegment is created for all calls not
    made by PynamoDB. As PynamoDB calls botocore differently than the
    botocore patch expects we also just get a single subsegment per
    PynamoDB call.
    """
    session = botocore.session.get_session()
    s3 = session.create_client('s3', region_name='us-west-2',
                               config=Config(signature_version=UNSIGNED))
    try:
        s3.get_bucket_location(Bucket='mybucket')
    except ClientError:
        pass

    subsegments = xray_recorder.current_segment().subsegments
    assert len(subsegments) == 1
    assert subsegments[0].name == 's3'
    assert len(subsegments[0].subsegments) == 0 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def setUp(self):
        """Setup users, projects, and start a test server."""
        super(S3APITestCase, self).setUp()
        tempdir = self.useFixture(fixtures.TempDir())
        conf = self.useFixture(config_fixture.Config())
        conf.config(buckets_path=tempdir.path,
                    s3_listen='127.0.0.1',
                    s3_listen_port=0)

        self.server = s3server.get_wsgi_server()
        # NOTE(ft): this requires eventlet.monkey_patch, which is called in
        # tests/unit/__init__.py. Remove it out from there if you get these
        # tests rid of server run
        self.server.start()
        self.addCleanup(self.server.stop)

        s3_url = 'http://' + CONF.s3_listen + ':' + str(self.server.port)
        region = 'FakeRegion'
        connection_data = {
            'config_file': (None, 'AWS_CONFIG_FILE', None, None),
            'region': ('region', 'BOTO_DEFAULT_REGION', region, None),
        }
        session = botocore.session.get_session(connection_data)
        conn = session.create_client(
            's3', region_name=region, endpoint_url=s3_url,
            aws_access_key_id='fake', aws_secret_access_key='fake')
        self.conn = conn

        def get_http_connection(*args):
            """Get a new S3 connection, don't attempt to reuse connections."""
            return self.conn.new_http_connection(*args)

        self.conn.get_http_connection = get_http_connection 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def __init__(self):
        self.awslambda = boto3.client('lambda')
        session = botocore.session.get_session()
        self.events = session.create_client('events') 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def __init__(self, service, operation, region_name, endpoint_url=None, session=None,
                 connect_timeout=None, request_timeout=None):
        # set credentials manually
        session = session or botocore.session.get_session()
        # get_session accepts access_key, secret_key
        self.client = session.create_client(
            service,
            region_name=region_name,
            endpoint_url=endpoint_url
        )
        try:
            self.endpoint = self.client.endpoint
        except AttributeError:
            self.endpoint = self.client._endpoint

        self.operation = operation
        self.http_client = AsyncHTTPClient()

        self.proxy_host = None
        self.proxy_port = None
        https_proxy = getproxies_environment().get('https')
        if https_proxy:
            self._enable_curl_httpclient()

            proxy_parts = https_proxy.split(':')
            if len(proxy_parts) == 2 and proxy_parts[-1].isdigit():
                self.proxy_host, self.proxy_port = proxy_parts
                self.proxy_port = int(self.proxy_port)
            else:
                proxy = urlparse(https_proxy)
                self.proxy_host = proxy.hostname
                self.proxy_port = proxy.port

        self.request_timeout = request_timeout
        self.connect_timeout = connect_timeout 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def _get_client(service_name):
    aws_access_key_id = _id
    aws_secret_key = _key
    if service_name in _api_clients:
        return _api_clients[service_name]

    session = _get_botocore_session()
    if service_name == 'elasticbeanstalk':
        endpoint_url = _endpoint_url
    else:
        endpoint_url = None
    try:
        LOG.debug('Creating new Botocore Client for ' + str(service_name))
        client = session.create_client(service_name,
                                       endpoint_url=endpoint_url,
                                       aws_access_key_id=aws_access_key_id,
                                       aws_secret_access_key=aws_secret_key,
                                       verify=_verify_ssl,
                                       config=Config(signature_version='s3v4'))

    except botocore.exceptions.ProfileNotFound as e:
        raise InvalidProfileError(e)
    LOG.debug('Successfully created session for ' + service_name)

    _api_clients[service_name] = client
    return client 

# 需要導入模塊: from botocore import session [as 別名]
# 或者: from botocore.session import create_client [as 別名]
def create_graph(session: botocore.session.Session, service_list: list, output: io.StringIO = os.devnull,
                 debug=False) -> Graph:
    """Constructs a Graph object.

    Information about the graph as it's built will be written to the IO parameter `output`.
    """
    stsclient = session.create_client('sts')
    caller_identity = stsclient.get_caller_identity()
    dprint(debug, "Caller Identity: {}".format(caller_identity['Arn']))
    metadata = {
        'account_id': caller_identity['Account'],
        'pmapper_version': principalmapper.__version__
    }

    iamclient = session.create_client('iam')

    # Gather users and roles, generating a Node per user and per role
    nodes_result = get_unfilled_nodes(iamclient, output, debug)

    # Gather groups from current list of nodes (users), generate Group objects, attach to nodes in-flight
    groups_result = get_unfilled_groups(iamclient, nodes_result, output, debug)

    # Resolve all policies, generate Policy objects, attach to all groups and nodes
    policies_result = get_policies_and_fill_out(iamclient, nodes_result, groups_result, output, debug)

    # Determine which nodes are admins and update node objects
    update_admin_status(nodes_result, output, debug)

    # Generate edges, generate Edge objects
    edges_result = edge_identification.obtain_edges(session, service_list, nodes_result, output, debug)

    return Graph(nodes_result, edges_result, policies_result, groups_result, metadata)