Workflow Response Dto

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

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

    _obj = cls.model_validate(
        {
            "createdAt": obj.get("createdAt"),
            "description": obj.get("description"),
            "enabled": obj.get("enabled"),
            "id": obj.get("id"),
            "logging": obj.get("logging"),
            "name": obj.get("name"),
            "steps": [WorkflowStepDto.from_dict(_item) for _item in obj["steps"]]
            if obj.get("steps") is not None
            else None,
            "trigger": obj.get("trigger"),
            "updatedAt": obj.get("updatedAt"),
        }
    )
    return _obj

@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
    """Create an instance of WorkflowResponseDto from a JSON string"""
    return cls.from_dict(json.loads(json_str))

@field_validator("id", mode="before")
def id_validate_regular_expression(cls, value):
    """Validates the regular expression"""
    if isinstance(value, str) and not re.match(
        r"^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-4[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12})$",
        value,
    ):
        raise ValueError(
            r"must validate the regular expression /^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-4[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12})$/"
        )
    return value

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 each item in steps (list)
    _items = []
    if self.steps:
        for _item_steps in self.steps:
            _items.append(
                _item_steps.to_dict() if _item_steps is not None else None
            )
        _dict["steps"] = _items
    # set to None if description (nullable) is None
    # and model_fields_set contains the field
    if self.description is None and "description" in self.model_fields_set:
        _dict["description"] = None

    # set to None if name (nullable) is None
    # and model_fields_set contains the field
    if self.name is None and "name" in self.model_fields_set:
        _dict["name"] = None

    return _dict

def to_json(self) -> str:
    """Returns the JSON representation of the model using alias"""
    return json.dumps(to_jsonable_python(self.to_dict()))

def to_str(self) -> str:
    """Returns the string representation of the model using alias"""
    return pprint.pformat(self.model_dump(by_alias=True))