# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from nvflare.edge.web.models.base_model import BaseModel, EdgeProtoKey
from nvflare.edge.web.models.capabilities import Capabilities
from nvflare.edge.web.models.device_info import DeviceInfo
from nvflare.edge.web.models.user_info import UserInfo
[docs]
class JobRequest(BaseModel):
def __init__(
self,
job_name: str,
device_info: DeviceInfo,
user_info: UserInfo,
capabilities: Capabilities = None,
**kwargs,
):
super().__init__()
self.job_name = job_name
self.device_info = device_info
self.user_info = user_info
self.capabilities = capabilities
if kwargs:
self.update(kwargs)
[docs]
@classmethod
def validate(cls, d: dict) -> str:
return cls.check_keys(d, [EdgeProtoKey.CAPABILITIES, EdgeProtoKey.DEVICE_INFO, EdgeProtoKey.JOB_NAME])
[docs]
@classmethod
def from_dict(cls, d: dict):
error = cls.validate(d)
if error:
return error, None
job_name = d.pop(EdgeProtoKey.JOB_NAME, None)
error, device_info = DeviceInfo.extract_from_dict(d)
if error:
return error, None
_, user_info = UserInfo.extract_from_dict(d)
error, caps = Capabilities.extract_from_dict(d)
if error:
return error, None
job_req = JobRequest(job_name, device_info, user_info, caps, **d)
return "", job_req