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list_workload_model

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.

ListWorkloadModel

Bases: BaseModel

ListWorkloadModel

Source code in client/src/openapi_client/models/list_workload_model.py 
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class ListWorkloadModel(BaseModel):
    """
    ListWorkloadModel
    """  # noqa: E501

    name: StrictStr
    id: WorkloadIdentifier
    metadata: WorkloadMetadata | None = None
    __properties: ClassVar[list[str]] = ["name", "id", "metadata"]

    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 ListWorkloadModel 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,
        )
        # override the default output from pydantic by calling `to_dict()` of id
        if self.id:
            _dict["id"] = self.id.to_dict()
        # override the default output from pydantic by calling `to_dict()` of metadata
        if self.metadata:
            _dict["metadata"] = self.metadata.to_dict()
        # set to None if metadata (nullable) is None
        # and model_fields_set contains the field
        if self.metadata is None and "metadata" in self.model_fields_set:
            _dict["metadata"] = None

        return _dict

    @classmethod
    def from_dict(cls, obj: dict[str, Any] | None) -> Self | None:
        """Create an instance of ListWorkloadModel from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "name": obj.get("name"),
            "id": WorkloadIdentifier.from_dict(obj["id"])
            if obj.get("id") is not None
            else None,
            "metadata": WorkloadMetadata.from_dict(obj["metadata"])
            if obj.get("metadata") is not None
            else None,
        })
        return _obj

to_str 

to_str() -> str

Returns the string representation of the model using alias

Source code in client/src/openapi_client/models/list_workload_model.py 
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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 

to_json() -> str

Returns the JSON representation of the model using alias

Source code in client/src/openapi_client/models/list_workload_model.py 
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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 ListWorkloadModel from a JSON string

Source code in client/src/openapi_client/models/list_workload_model.py 
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@classmethod
def from_json(cls, json_str: str) -> Self | None:
    """Create an instance of ListWorkloadModel 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/list_workload_model.py 
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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,
    )
    # override the default output from pydantic by calling `to_dict()` of id
    if self.id:
        _dict["id"] = self.id.to_dict()
    # override the default output from pydantic by calling `to_dict()` of metadata
    if self.metadata:
        _dict["metadata"] = self.metadata.to_dict()
    # set to None if metadata (nullable) is None
    # and model_fields_set contains the field
    if self.metadata is None and "metadata" in self.model_fields_set:
        _dict["metadata"] = None

    return _dict

from_dict classmethod 

from_dict(obj: dict[str, Any] | None) -> Self | None

Create an instance of ListWorkloadModel from a dict

Source code in client/src/openapi_client/models/list_workload_model.py 
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@classmethod
def from_dict(cls, obj: dict[str, Any] | None) -> Self | None:
    """Create an instance of ListWorkloadModel from a dict"""
    if obj is None:
        return None

    if not isinstance(obj, dict):
        return cls.model_validate(obj)

    _obj = cls.model_validate({
        "name": obj.get("name"),
        "id": WorkloadIdentifier.from_dict(obj["id"])
        if obj.get("id") is not None
        else None,
        "metadata": WorkloadMetadata.from_dict(obj["metadata"])
        if obj.get("metadata") is not None
        else None,
    })
    return _obj