the jobq cluster workflow management tool backend
Backend service for the appliedAI infrastructure product
The version of the OpenAPI document: 0.1.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
WorkloadSpec
Bases: BaseModel
WorkloadSpec
Source code in client/src/openapi_client/models/workload_spec.py
| class WorkloadSpec(BaseModel):
"""
WorkloadSpec
""" # noqa: E501
pod_sets: list[Any] = Field(alias="podSets")
queue_name: StrictStr = Field(alias="queueName")
active: StrictBool
priority_class_name: StrictStr | None = Field(
default=None, alias="priorityClassName"
)
priority: StrictInt | None = None
priority_class_source: StrictStr | None = Field(
default=None, alias="priorityClassSource"
)
__properties: ClassVar[list[str]] = [
"podSets",
"queueName",
"active",
"priorityClassName",
"priority",
"priorityClassSource",
]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
@classmethod
def from_json(cls, json_str: str) -> Self | None:
"""Create an instance of WorkloadSpec from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: set[str] = set()
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# set to None if priority_class_name (nullable) is None
# and model_fields_set contains the field
if (
self.priority_class_name is None
and "priority_class_name" in self.model_fields_set
):
_dict["priorityClassName"] = None
# set to None if priority (nullable) is None
# and model_fields_set contains the field
if self.priority is None and "priority" in self.model_fields_set:
_dict["priority"] = None
# set to None if priority_class_source (nullable) is None
# and model_fields_set contains the field
if (
self.priority_class_source is None
and "priority_class_source" in self.model_fields_set
):
_dict["priorityClassSource"] = None
return _dict
@classmethod
def from_dict(cls, obj: dict[str, Any] | None) -> Self | None:
"""Create an instance of WorkloadSpec from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"podSets": obj.get("podSets"),
"queueName": obj.get("queueName"),
"active": obj.get("active"),
"priorityClassName": obj.get("priorityClassName"),
"priority": obj.get("priority"),
"priorityClassSource": obj.get("priorityClassSource"),
})
return _obj
|
to_str
Returns the string representation of the model using alias
Source code in client/src/openapi_client/models/workload_spec.py
| def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
|
to_json
Returns the JSON representation of the model using alias
Source code in client/src/openapi_client/models/workload_spec.py
| def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
|
from_json
classmethod
from_json(json_str: str) -> Self | None
Create an instance of WorkloadSpec from a JSON string
Source code in client/src/openapi_client/models/workload_spec.py
| @classmethod
def from_json(cls, json_str: str) -> Self | None:
"""Create an instance of WorkloadSpec from a JSON string"""
return cls.from_dict(json.loads(json_str))
|
to_dict
to_dict() -> dict[str, Any]
Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
self.model_dump(by_alias=True)
:
None
is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value None
are ignored.
Source code in client/src/openapi_client/models/workload_spec.py
| def to_dict(self) -> dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: set[str] = set()
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# set to None if priority_class_name (nullable) is None
# and model_fields_set contains the field
if (
self.priority_class_name is None
and "priority_class_name" in self.model_fields_set
):
_dict["priorityClassName"] = None
# set to None if priority (nullable) is None
# and model_fields_set contains the field
if self.priority is None and "priority" in self.model_fields_set:
_dict["priority"] = None
# set to None if priority_class_source (nullable) is None
# and model_fields_set contains the field
if (
self.priority_class_source is None
and "priority_class_source" in self.model_fields_set
):
_dict["priorityClassSource"] = None
return _dict
|
from_dict
classmethod
from_dict(obj: dict[str, Any] | None) -> Self | None
Create an instance of WorkloadSpec from a dict
Source code in client/src/openapi_client/models/workload_spec.py
| @classmethod
def from_dict(cls, obj: dict[str, Any] | None) -> Self | None:
"""Create an instance of WorkloadSpec from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"podSets": obj.get("podSets"),
"queueName": obj.get("queueName"),
"active": obj.get("active"),
"priorityClassName": obj.get("priorityClassName"),
"priority": obj.get("priority"),
"priorityClassSource": obj.get("priorityClassSource"),
})
return _obj
|