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.
ValidationError
Bases: BaseModel
ValidationError
Source code in client/src/openapi_client/models/validation_error.py
| class ValidationError(BaseModel):
"""
ValidationError
""" # noqa: E501
loc: list[ValidationErrorLocInner]
msg: StrictStr
type: StrictStr
__properties: ClassVar[list[str]] = ["loc", "msg", "type"]
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 ValidationError 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 each item in loc (list)
_items = []
if self.loc:
for _item_loc in self.loc:
if _item_loc:
_items.append(_item_loc.to_dict())
_dict["loc"] = _items
return _dict
@classmethod
def from_dict(cls, obj: dict[str, Any] | None) -> Self | None:
"""Create an instance of ValidationError from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"loc": [ValidationErrorLocInner.from_dict(_item) for _item in obj["loc"]]
if obj.get("loc") is not None
else None,
"msg": obj.get("msg"),
"type": obj.get("type"),
})
return _obj
|
to_str
Returns the string representation of the model using alias
Source code in client/src/openapi_client/models/validation_error.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/validation_error.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 ValidationError from a JSON string
Source code in client/src/openapi_client/models/validation_error.py
| @classmethod
def from_json(cls, json_str: str) -> Self | None:
"""Create an instance of ValidationError 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/validation_error.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,
)
# override the default output from pydantic by calling `to_dict()` of each item in loc (list)
_items = []
if self.loc:
for _item_loc in self.loc:
if _item_loc:
_items.append(_item_loc.to_dict())
_dict["loc"] = _items
return _dict
|
from_dict
classmethod
from_dict(obj: dict[str, Any] | None) -> Self | None
Create an instance of ValidationError from a dict
Source code in client/src/openapi_client/models/validation_error.py
| @classmethod
def from_dict(cls, obj: dict[str, Any] | None) -> Self | None:
"""Create an instance of ValidationError from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"loc": [ValidationErrorLocInner.from_dict(_item) for _item in obj["loc"]]
if obj.get("loc") is not None
else None,
"msg": obj.get("msg"),
"type": obj.get("type"),
})
return _obj
|