nvflare.apis.job_def module

class Job(job_id: str, resource_spec: Dict[str, Dict], deploy_map: Dict[str, List[str]], meta, min_sites: int = 1, required_sites: List[str] | None = None)

Bases: object

Job object containing the job metadata.

Parameters:

• job_id – Job ID

• resource_spec – Resource specification with information on the resources of each client

• deploy_map – Deploy map specifying each app and the sites that it should be deployed to

• meta – full contents of the persisted metadata for the job for persistent storage

• min_sites (int) – minimum number of sites

• required_sites – A list of required site names

get_application(app_name, fl_ctx: FLContext) → bytes

Get the application content in bytes for the specified participant.

get_application_name(participant)

Get the application name for the specified participant.

get_deployment() → Dict[str, List[str]]

Returns the deployment configuration.

"deploy_map": {
    "hello-numpy-sag-server": [
      "server"
    ],
    "hello-numpy-sag-client": [
      "client1",
      "client2"
    ],
    "hello-numpy-sag-client3": [
      "client3"
    ]
  },

Returns:

Contents of deploy_map as a dictionary of strings of app names with their corresponding sites

get_resource_requirements()

Returns app resource requirements.

Returns:

resource}

Return type:

A dict of {site_name

class JobDataKey(value)

Bases: str, Enum

An enumeration.

DATA = 'data'

JOB_DATA = 'job_data_'

META = 'meta'

WORKSPACE_DATA = 'workspace_data_'

class JobMetaKey(value)

Bases: str, Enum

An enumeration.

APPROVALS = 'approvals'

CLONED_FROM = 'cloned_from'

CONTENT_LOCATION = 'content_location'

CUSTOM_PROPS = 'custom_props'

DATA_STORAGE_FORMAT = 'data_storage_format'

DEPLOY_MAP = 'deploy_map'

DURATION = 'duration'

FROM_HUB_SITE = 'from_hub_site'

JOB_DEPLOY_DETAIL = 'job_deploy_detail'

JOB_FOLDER_NAME = 'job_folder_name'

JOB_ID = 'job_id'

JOB_NAME = 'name'

LAST_SCHEDULE_TIME = 'last_schedule_time'

MANDATORY_CLIENTS = 'mandatory_clients'

MIN_CLIENTS = 'min_clients'

RESOURCE_SPEC = 'resource_spec'

RESULT_LOCATION = 'result_location'

SCHEDULE_COUNT = 'schedule_count'

SCHEDULE_HISTORY = 'schedule_history'

SCOPE = 'scope'

START_TIME = 'start_time'

STATS_POOL_CONFIG = 'stats_pool_config'

STATUS = 'status'

SUBMITTER_NAME = 'submitter_name'

SUBMITTER_ORG = 'submitter_org'

SUBMITTER_ROLE = 'submitter_role'

SUBMIT_TIME = 'submit_time'

SUBMIT_TIME_ISO = 'submit_time_iso'

class RunStatus(value)

Bases: str, Enum

An enumeration.

ABANDONED = 'FINISHED:ABANDONED'

APPROVED = 'APPROVED'

DISPATCHED = 'DISPATCHED'

FAILED_TO_RUN = 'FINISHED:FAILED_TO_RUN'

FINISHED_ABNORMAL = 'FINISHED:ABNORMAL'

FINISHED_ABORTED = 'FINISHED:ABORTED'

FINISHED_CANT_SCHEDULE = 'FINISHED:CAN_NOT_SCHEDULE'

FINISHED_COMPLETED = 'FINISHED:COMPLETED'

FINISHED_EXECUTION_EXCEPTION = 'FINISHED:EXECUTION_EXCEPTION'

RUNNING = 'RUNNING'

SUBMITTED = 'SUBMITTED'

class TopDir

Bases: object

JOB = 'job'

WORKSPACE = 'workspace'

get_custom_prop(meta: dict, prop_key: str, default=None)

get_custom_props(meta: dict, default=None)

is_valid_job_id(jid: str) → bool

job_from_meta(meta: dict) → Job

Converts information in meta into a Job object.

Parameters:

meta – dict of meta information

Returns:

A Job object.

new_job_id() → str