def __init__(self, plugins=None):
"""User preference for each service.
:param plugins: List of entry point namespaces to load.
Create a new :class:`~openstack.profile.Profile`
object with no preferences defined, but knowledge of the services.
Services are identified by their service type, e.g.: 'identity',
'compute', etc.
"""
self._services = {}
self._add_service(anti_ddos_service.AntiDDosService(version="v1"))
self._add_service(block_store_service.BlockStoreService(version="v2"))
self._add_service(compute_service.ComputeService(version="v2"))
self._add_service(cts_service.CTSService(version="v1"))
self._add_service(dms_service.DMSService(version="v1"))
self._add_service(identity_service.IdentityService(version="v3"))
self._add_service(image_service.ImageService(version="v2"))
self._add_service(kms_service.KMSService(version="v1"))
self._add_service(maas_service.MaaSService(version="v1"))
self._add_service(network_service.NetworkService(version="v2.0"))
self._add_service(
orchestration_service.OrchestrationService(version="v1"))
self._add_service(smn_service.SMNService(version="v2"))
# QianBiao.NG HuaWei Services
self._add_service(dns_service.DNSService(version="v2"))
self._add_service(cloud_eye_service.CloudEyeService(version="v1"))
ass = auto_scaling_service.AutoScalingService(version="v1")
self._add_service(ass)
vbs_v2 = volume_backup_service.VolumeBackupService(version="v2")
self._add_service(vbs_v2)
self._add_service(map_reduce_service.MapReduceService(version="v1"))
self._add_service(evs_service.EvsServiceV2_1(version='v2.1'))
self._add_service(evs_service.EvsService(version='v2'))
self._add_service(ecs_service.EcsService(version='v1'))
self._add_service(ecs_service.EcsServiceV1_1(version='v1.1'))
self._add_service(vpc_service.VpcService(version='v2.0'))
self._add_service(bms_service.BmsService(version='v1'))
self._add_service(lb_service.LoadBalancerService(version='v1'))
# not support below service
# self._add_service(message_service.MessageService(version="v1"))
# self._add_service(cluster_service.ClusterService(version="v1"))
# self._add_service(database_service.DatabaseService(version="v1"))
# self._add_service(alarm_service.AlarmService(version="v2"))
# self._add_service(bare_metal_service.BareMetalService(version="v1"))
# self._add_service(key_manager_service.KeyManagerService(version="v1"))
# self._add_service(
# object_store_service.ObjectStoreService(version="v1"))
self._add_service(rds_service.RDSService(version="v1"))
self._add_service(cdn_service.CDNService(version='v1'))
# self._add_service(rds_os_service.RDSService(version="v1"))
# self._add_service(telemetry_service.TelemetryService(version="v2"))
# self._add_service(workflow_service.WorkflowService(version="v2"))
if plugins:
for plugin in plugins:
self._load_plugin(plugin)
self.service_keys = sorted(self._services.keys())
class DataSource(resource.Resource):
resource_key = "data_source"
resources_key = "data_sources"
base_path = "/data-sources"
service = map_reduce_service.MapReduceService()
# capabilities
allow_create = True
allow_update = True
allow_list = True
allow_get = True
allow_delete = True
_query_mapping = resource.QueryParameters("sort_by")
#: Properties
#: Data Source name
name = resource.Body("name")
#: Data Source Type, supports: ``hdfs``, ``obs``, ``swift``
type = resource.Body("type")
#: Data Source url, if type is HDFS, url should like */data-source-path*,
#: if type is obs, url should like *s3a://data-source-path*
url = resource.Body("url")
#: Data source description
description = resource.Body("description")
#: Reserved attribute, is data-source protected
is_protected = resource.Body("is_protected", type=bool)
#: Reserved attribute, is data-source public
is_public = resource.Body("is_public", type=bool)
#: UTC date and time of the data-source created time
created_at = resource.Body("created_at")
#: UTC date and time of the data-source last updated time
updated_at = resource.Body("updated_at")
#: The tenant this data-source belongs to
tenant_id = resource.Body("tenant_id")
class JobBinary(resource.Resource):
resource_key = "job_binary"
resources_key = "binaries"
base_path = "/job-binaries"
service = map_reduce_service.MapReduceService()
# capabilities
allow_create = True
allow_update = True
allow_list = True
allow_get = True
allow_delete = True
_query_mapping = resource.QueryParameters("sort_by")
#: Properties
#: Job Binary name
name = resource.Body("name")
#: Job Binary url
url = resource.Body("url")
#: Job Binary description
description = resource.Body("description")
#: Reserved attribute, is job binary protected
is_protected = resource.Body("is_protected", type=bool)
#: Reserved attribute, is job binary public
is_public = resource.Body("is_public", type=bool)
#: UTC date and time of the job-binary created time
created_at = resource.Body("created_at")
#: UTC date and time of the job-binary last updated time
updated_at = resource.Body("updated_at")
#: The tenant this job-binary belongs to
tenant_id = resource.Body("tenant_id")
def test_service(self):
sot = map_reduce_service.MapReduceService()
self.assertEqual('map-reduce', sot.service_type)
self.assertEqual('public', sot.interface)
self.assertIsNone(sot.region)
self.assertIsNone(sot.service_name)
self.assertEqual(1, len(sot.valid_versions))
self.assertEqual('v1', sot.valid_versions[0].module)
self.assertEqual('v1', sot.valid_versions[0].path)
class Version(resource.Resource):
resource_key = 'version'
resources_key = 'versions'
base_path = '/'
service = map_reduce_service.MapReduceService(
version=map_reduce_service.MapReduceService.UNVERSIONED)
# capabilities
allow_list = True
# Properties
links = resource.Body('links')
status = resource.Body('status')
class Job(resource.Resource):
resource_key = "job"
resources_key = "jobs"
base_path = "/jobs"
service = map_reduce_service.MapReduceService()
# capabilities
allow_create = True
allow_update = True
patch_update = True
allow_list = True
allow_get = True
allow_delete = True
_query_mapping = resource.QueryParameters("sort_by")
#: Properties
#: Job name
name = resource.Body("name")
#: Job type, supports: ``MapReduce``, ``Spark``, ``Hive``, ``hql``,
#: ``DistCp``, ``SparkScript``, ``SparkSql``
type = resource.Body("type")
#: A list of programs to be executed by the job
mains = resource.Body("mains", type=list)
#: A list of job-binaries required by the job
libs = resource.Body("libs", type=list)
#: Reserved attribute, user customer interfaces
interface = resource.Body("interface", type=list)
#: Job description
description = resource.Body("description")
#: Reserved attribute, is job protected
is_protected = resource.Body("is_protected", type=bool)
#: Reserved attribute, is job public
is_public = resource.Body("is_public", type=bool)
#: UTC date and time of the job created time
created_at = resource.Body("created_at")
#: UTC date and time of the job last updated time
updated_at = resource.Body("updated_at")
#: The tenant this job belongs to
tenant_id = resource.Body("tenant_id")
class Cluster(resource.Resource):
"""Cluster Resource"""
resource_key = "cluster"
resources_key = "cluster"
base_path = "/clusters"
service = map_reduce_service.MapReduceService()
# capabilities
allow_create = True
allow_get = True
allow_delete = True
_query_mapping = resource.QueryParameters("sort_by", marker="limit")
#: Properties
#: Cluster ID
id = resource.Body("cluster_id")
#: Cluster name
name = resource.Body("cluster_name")
#: Version of the clusters, Currently, MRS 1.2 and MRS 1.3.0 are supported.
#: The latest version(MRS 1.3.0 for now) of MRS is used by default.
version = resource.Body("cluster_version")
#: Cluster type, ``0`` indicate for analysis and ``1`` for streaming.
#: 0 is used by default.
type = resource.Body("cluster_type")
#: Cluster billing type, The value is 12, indicating on-demand payment.
billing_type = resource.Body("billing_type", type=int, default=12)
#: Number of Master nodes, set to 2
master_node_num = resource.Body("master_node_num", type=int, default=2)
#: The Flavor of Master Node, Best match based on several years of
#: commissioning experience. MRS supports nine specifications of hosts,
#: and host specifications are determined by CPUs, memory, and disks.
#: Master nodes support:
#: - c2.4xlarge.linux.mrs,
#: - s1.4xlarge.linux.mrs and
#: - s1.8xlarge.linux.mrs.
#: Core nodes of a streaming cluster support:
#: - s1.xlarge.linux.mrs,
#: - c2.2xlarge.linux.mrs,
#: - c2.4xlarge.linux.mrs,
#: - s1.4xlarge.linux.mrs,
#: - s1.8xlarge.linux.mrs,
#: - d1.8xlarge.linux.mrs
#: Core nodes of an analysis cluster support all specifications above.
master_node_size = resource.Body("master_node_size")
#: Number of Core nodes, Value range: 3 to 100
core_node_num = resource.Body("core_node_num", type=int)
#: Instance specification of a Core node Configuration method of this
#: parameter is identical to that of master_node_size.
core_node_size = resource.Body("core_node_size")
#: Cluster region information, Obtain the value from
#: https://docs.otc.t-systems.com/en-us/endpoint/index.html
data_center = resource.Body("data_center")
#: ID of an available zone. Obtain the value from
#: https://docs.otc.t-systems.com/en-us/endpoint/index.html
availability_zone_id = resource.Body("available_zone_id")
#: VPC reference of cluster nodes networking
vpc_id = resource.Body("vpc_id")
#: Name of the VPC
vpc_name = resource.Body("vpc")
#: Subnet reference of cluster nodes networking
subnet_id = resource.Body("subnet_id")
#: Name of the subnet
subnet_name = resource.Body("subnet_name")
#: Type of volume, ``SATA``, ``SAS`` and ``SSD`` are supported.
#: - SATA: common I/O
#: - SAS: high-speed I/O
#: - SSD: super high-speed I/O
volume_type = resource.Body("volume_type")
#: Data volume size of a Core node, Value range: 100 GB to 32000 GB.
#: Users can add disks to expand storage capacity when creating a cluster.
#: There are the following scenarios:
#: - Separation of data storage and computing: Data is stored in the
#: OBS system. Costs of clusters are relatively low but computing
#: performance is poor. The clusters can be deleted at any time. It is
#: recommended when data computing is not frequently performed.
#: - Integration of data storage and computing: Data is stored in the HDFS
#: system. Costs of clusters are relatively high but computing performance
#: is good. The clusters cannot be deleted in a short term.
#: It is recommended when data computing is frequently performed.
volume_size = resource.Body("volume_size")
#: Name of a key pair used to login to the Master node in the cluster.
keypair = resource.Body("node_public_cert_name")
#: MRS cluster running mode, ``0`` indicate for ``Common Mode`` and ``1``
#: for ``Safe Mode``.
#: - 0 common mode: The value indicates that the Kerberos authentication
# is disabled. Users can use all functions provided by the cluster.
#: - 1: safe mode; The value indicates that the Kerberos authentication is
#: enabled. Common users cannot use the file management or job; management
#: functions of an MRS cluster and cannot view cluster resource usage or
# the job records of Hadoop and Spark. To use these functions, the users
#: must obtain the relevant permissions from the MRS Manager administrator
safe_mode = resource.Body("safe_mode")
#: Indicates the password of the MRS Manager administrator.
cluster_admin_secret = resource.Body("cluster_admin_secret")
#: Service component list to be used by the cluster.
#: Component IDs supported by 1.3.0 include:
#: - MRS 1.3.0_001: Hadoop
#: - MRS 1.3.0_002: Spark
#: - MRS 1.3.0_003: HBase
#: - MRS 1.3.0_004: Hive
#: - MRS 1.3.0_005: Hue
#: - MRS 1.3.0_006: Kafka
#: - MRS 1.3.0_007: Storm
# Component IDs supported by MRS 1.2 include:
#: - MRS 1.2_001: Hadoop
#: - MRS 1.2_002: Spark
#: - MRS 1.2_003: HBase
#: - MRS 1.2_004: Hive
#: - MRS 1.2_005: Hue
component_list = resource.Body("component_list", type=list)
#: job to be executed after cluster is ready
jobs = resource.Body("add_jobs", type=list)
class ClusterDetail(resource.Resource):
"""Cluster Detail Resource"""
resource_key = "cluster"
resources_key = "cluster"
base_path = "/cluster_infos"
service = map_reduce_service.MapReduceService()
# capabilities
allow_get = True
#: Properties
#: Cluster ID
id = resource.Body("clusterId")
#: Cluster name
name = resource.Body("clusterName")
#: Version of the clusters, Currently, MRS 1.2 and MRS 1.3.0 are supported.
#: The latest version(MRS 1.3.0 for now) of MRS is used by default.
version = resource.Body("clusterVersion")
#: Cluster type, ``0`` indicate for analysis and ``1`` for streaming.
#: 0 is used by default.
type = resource.Body("clusterType")
state = resource.Body("clusterState")
#: Cluster billing type, The value is 12, indicating on-demand payment.
billing_type = resource.Body("billingType", default=12)
#: Number of Master nodes, set to 2
master_node_num = resource.Body("masterNodeNum", type=int, default=2)
#: The Flavor of Master Node, Best match based on several years of
#: commissioning experience. MRS supports nine specifications of hosts,
#: and host specifications are determined by CPUs, memory, and disks.
#: Master nodes support:
#: - c2.4xlarge.linux.mrs,
#: - s1.4xlarge.linux.mrs and
#: - s1.8xlarge.linux.mrs.
#: Core nodes of a streaming cluster support:
#: - s1.xlarge.linux.mrs,
#: - c2.2xlarge.linux.mrs,
#: - c2.4xlarge.linux.mrs,
#: - s1.4xlarge.linux.mrs,
#: - s1.8xlarge.linux.mrs,
#: - d1.8xlarge.linux.mrs
#: Core nodes of an analysis cluster support all specifications above.
master_node_size = resource.Body("masterNodeSize")
#: Number of Core nodes, Value range: 3 to 100
core_node_num = resource.Body("coreNodeNum", type=int)
#: Instance specification of a Core node Configuration method of this
#: parameter is identical to that of master_node_size.
core_node_size = resource.Body("coreNodeSize")
#: Cluster region information, Obtain the value from
#: https://docs.otc.t-systems.com/en-us/endpoint/index.html
data_center = resource.Body("dataCenter")
#: ID of an available zone. Obtain the value from
#: https://docs.otc.t-systems.com/en-us/endpoint/index.html
availability_zone_id = resource.Body("azId")
availability_zone = resource.Body("azName")
#: Name of the VPC
vpc_name = resource.Body("vpc")
#: Name of the subnet
subnet_name = resource.Body("subnetName")
#: Type of volume, ``SATA``, ``SAS`` and ``SSD`` are supported.
#: - SATA: common I/O
#: - SAS: high-speed I/O
#: - SSD: super high-speed I/O
volume_type = resource.Body("volumeType")
#: Data volume size of a Core node, Value range: 100 GB to 32000 GB.
#: Users can add disks to expand storage capacity when creating a cluster.
#: There are the following scenarios:
#: - Separation of data storage and computing: Data is stored in the
#: OBS system. Costs of clusters are relatively low but computing
#: performance is poor. The clusters can be deleted at any time. It is
#: recommended when data computing is not frequently performed.
#: - Integration of data storage and computing: Data is stored in the HDFS
#: system. Costs of clusters are relatively high but computing performance
#: is good. The clusters cannot be deleted in a short term.
#: It is recommended when data computing is frequently performed.
volume_size = resource.Body("volumeSize")
#: Name of a key pair used to login to the Master node in the cluster.
keypair = resource.Body("nodePublicCertName")
#: MRS cluster running mode, ``0`` indicate for ``Common Mode`` and ``1``
#: for ``Safe Mode``.
#: - 0 common mode: The value indicates that the Kerberos authentication
# is disabled. Users can use all functions provided by the cluster.
#: - 1: safe mode; The value indicates that the Kerberos authentication is
#: enabled. Common users cannot use the file management or job; management
#: functions of an MRS cluster and cannot view cluster resource usage or
# the job records of Hadoop and Spark. To use these functions, the users
#: must obtain the relevant permissions from the MRS Manager administrator
safe_mode = resource.Body("safeMode")
#: Service component list to be used by the cluster.
#: Component IDs supported by 1.3.0 include:
#: - MRS 1.3.0_001: Hadoop
#: - MRS 1.3.0_002: Spark
#: - MRS 1.3.0_003: HBase
#: - MRS 1.3.0_004: Hive
#: - MRS 1.3.0_005: Hue
#: - MRS 1.3.0_006: Kafka
#: - MRS 1.3.0_007: Storm
# Component IDs supported by MRS 1.2 include:
#: - MRS 1.2_001: Hadoop
#: - MRS 1.2_002: Spark
#: - MRS 1.2_003: HBase
#: - MRS 1.2_004: Hive
#: - MRS 1.2_005: Hue
component_list = resource.Body("componentList", type=list)
safe_mode = resource.Body("safeMode")
create_at = resource.Body("createAt")
update_at = resource.Body("updateAt")
duration = resource.Body("duration")
fee = resource.Body("fee")
hadoop_version = resource.Body("hadoopVersion")
external_ip = resource.Body("externalIp")
external_alternate_ip = resource.Body("externalAlternateIp")
internal_ip = resource.Body("internalIp")
deployment_id = resource.Body("deploymentId")
remark = resource.Body("remark")
order_id = resource.Body("orderId")
master_node_product_id = resource.Body("masterNodeProductId")
master_node_spec_id = resource.Body("masterNodeSpecId")
core_node_product_id = resource.Body("coreNodeProductId")
core_node_spec_id = resource.Body("coreNodeSpecId")
instance_id = resource.Body("instanceId")
vnc = resource.Body("vnc")
tenant_id = resource.Body("tenantId")
security_groups_id = resource.Body("securityGroupsId")
slave_security_groups_id = resource.Body("slaveSecurityGroupsId")
master_node_ip = resource.Body("masterNodeIp")
private_ip_first = resource.Body("privateIpFirst")
error_info = resource.Body("errorInfo")
charging_start_time = resource.Body("chargingStartTime")
class JobExecution(resource.Resource):
"""Map Reduce Job Execution Resource"""
resource_key = "job_execution"
resources_key = "job_executions"
base_path = "/job-executions"
service = map_reduce_service.MapReduceService()
# capabilities
allow_list = True
allow_get = True
allow_delete = True
_query_mapping = resource.QueryParameters("sort_by")
#: Properties
#: A dict contains job running information returned by Oozie
info = resource.Body("info", type=dict)
#: The cluster which executed the job
cluster_id = resource.Body("cluster_id")
#: The job reference been executed
job_id = resource.Body("job_id")
#: Workflow ID of Oozie
engine_job_id = resource.Body("engine_job_id")
#: Workflow ID returned by Oozie
oozie_job_id = resource.Body("oozie_job_id")
#: Response code of job execution
return_code = resource.Body("return_code")
#: Input data reference(ID) of the job execution
input_id = resource.Body("input_id")
#: Output data reference(ID) of the job execution
output_id = resource.Body("output_id")
#: Job execution configurations
job_configs = resource.Body("job_configs", type=dict)
#: Input Data source dict of the job execution, key is input id and value
#: is the input URL
data_source_urls = resource.Body("data_source_urls")
#: Reserved attribute, is job binary protected
is_protected = resource.Body("is_protected", type=bool)
#: Reserved attribute, is job binary public
is_public = resource.Body("is_public", type=bool)
#: UTC date and time of the job-execution start time
start_time = resource.Body("start_time")
#: UTC date and time of the job-execution end time
end_time = resource.Body("end_time")
#: UTC date and time of the job-execution created time
created_at = resource.Body("created_at")
#: UTC date and time of the job-execution last updated time
updated_at = resource.Body("updated_at")
#: The tenant this job-execution belongs to
tenant_id = resource.Body("tenant_id")
def cancel(self, session):
"""cancel self's execution
:param session: openstack session
:return:
"""
uri = utils.urljoin(self.base_path, self.id, 'cancel')
endpoint_override = self.service.get_endpoint_override()
response = session.get(uri,
endpoint_filter=self.service,
endpoint_override=endpoint_override)
self._translate_response(response)
return self
def create(self, session):
"""create a job execution and execute it
:param session: openstack session
:return:
"""
uri = utils.urljoin("/jobs", self.job_id, '/execute')
endpoint_override = self.service.get_endpoint_override()
body = self._body.dirty
response = session.post(uri,
headers={"Accept": "application/json"},
endpoint_filter=self.service,
endpoint_override=endpoint_override,
json=body)
self._translate_response(response)
return self
class JobExe(resource.Resource):
"""Map Reduce Job Exe Resource
JobExe is not the same as :class: `~openstack.map_reduce.v1.job_execution.
JobExecution`, It's an older version of job execution, we just implement
it for backward compatible
"""
resource_key = "job_execution"
resources_key = "job_executions"
base_path = "/job-exes"
query_marker_key = "current_page"
query_limit_key = "page_size"
service = map_reduce_service.MapReduceService()
# capabilities
allow_list = True
allow_get = True
allow_delete = True
_query_mapping = resource.QueryParameters("id", "cluster_id", "job_name",
"state", "page_size",
"current_page")
#: Properties
#: whether the job is generated by template
templated = resource.Body("templated", type=bool)
#: The cluster which executed the job
cluster_id = resource.Body("cluster_id")
#: The job id reference been executed
job_id = resource.Body("job_id")
#: The job name reference been executed
job_name = resource.Body("job_name")
#: The job type to be executed, valid values include:
#: - 1: MapReduce
#: - 2: Spark
#: - 3: Hive Script
#: - 4: HiveQL
#: - 5: DistCp
#: - 6: Spark Script
#: - 7: Spark SQL
job_type = resource.Body("job_type")
#: Input data URL of the job execution
input_id = resource.Body("input_id")
#: Output data URL of the job execution
output_id = resource.Body("output_id")
#: Input data URL of the job execution
input = resource.Body("input")
#: Output data URL of the job execution
output = resource.Body("output")
#: Execute return code
return_code = resource.Body("return_code")
#: Oozie workflow id
engine_job_id = resource.Body("engine_job_id")
#: The job execution group id
group_id = resource.Body("group_id")
#: The job execution group id
jar_path = resource.Body("jar_path")
#: The job log path
job_log = resource.Body("job_log")
#: File action: ``import`` , ``export`` ?
file_action = resource.Body("file_action")
#: Key parameter for program execution. The parameter is specified by the
#: function of the user's internal program. MRS is only responsible for
#: loading the parameter. This parameter can be empty.
arguments = resource.Body("arguments")
#: HiveQL statement
hql = resource.Body("hql")
#: Job status code, valid values include:
#: - -1: Terminated
#: - 1: Starting
#: - 2: Running
#: - 3: Completed
#: - 4: Abnormal
#: - 5: Error
job_state = resource.Body("job_state")
#: Job final status, valid values include:
#: - 0: unfinished
#: - 1: terminated due to an execution error
#: - 2: executed successfully
#: - 3: canceled
job_final_status = resource.Body("job_final_status")
#: Address of the Hive script
hive_script_path = resource.Body("hive_script_path")
#: User ID for creating jobs
create_by = resource.Body("create_by")
#: User ID for updating jobs
update_by = resource.Body("update_by")
#: Number of completed steps
finished_step = resource.Body("finished_step")
#: Main ID of a job
job_main_id = resource.Body("job_main_id")
#: Step ID of a job
job_step_id = resource.Body("job_step_id")
#: Delay time, which is a 13-bit timestamp.
postpone_at = resource.Body("postpone_at")
#: Step name of a job
step_name = resource.Body("step_name")
#: Number of steps
step_num = resource.Body("step_num")
#: Number of tasks
task_num = resource.Body("task_num")
#: Duration of job execution (unit: s)
spend_time = resource.Body("spend_time")
#: Step sequence of a job
step_seq = resource.Body("step_seq")
#: Job execution progress
progress = resource.Body("progress")
#: authentication token, not support for now
credentials = resource.Body("credentials")
#: create by
user_id = resource.Body("user_id")
#: Key-value pair set for saving job running configurations
job_configs = resource.Body("job_configs")
#: Authentication information
extra = resource.Body("extra")
#: Data source URL of a job
data_source_urls = resource.Body("data_source_urls")
#: Key-value pair set, containing job running information returned by Oozie
info = resource.Body("info")
#: UTC date and time of the job-execution start time
start_time = resource.Body("start_time")
#: UTC date and time of the job-execution end time
end_time = resource.Body("end_time")
#: UTC date and time of the job-execution created time
create_at = resource.Body("create_at")
#: UTC date and time of the job-execution last updated time
update_at = resource.Body("update_at")
#: UTC date and time of the job-execution created time
created_at = resource.Body("created_at")
#: UTC date and time of the job-execution last updated time
updated_at = resource.Body("updated_at")
#: The tenant this job-execution belongs to
tenant_id = resource.Body("tenant_id")
#: Reserved attribute, is job binary protected
is_protected = resource.Body("is_protected", type=bool)
#: Reserved attribute, is job binary public
is_public = resource.Body("is_public", type=bool)
@classmethod
def get_next_marker(cls, response_json, yielded, query_params):
page_size = query_params.get("page_size", 1)
if yielded < page_size:
return -1
current_page = int(query_params.get("current_page", 1))
return current_page + 1
def execute(self, session):
"""execute a job-exe
:param session: openstack session
:return:
"""
endpoint_override = self.service.get_endpoint_override()
body = self._body.dirty
response = session.post("/jobs/submit-job",
headers={},
endpoint_filter=self.service,
endpoint_override=endpoint_override,
json=body)
self._translate_response(response)
return self
