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validation_error

😸 Cheshire-Cat API

Production ready AI assistant framework

The version of the OpenAPI document: 1.3.1 Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.

ValidationError

Bases: BaseModel

ValidationError

Source code in cheshire_cat_api/models/validation_error.py 
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class ValidationError(BaseModel):
    """
    ValidationError
    """ # noqa: E501
    loc: List[LocationInner]
    msg: StrictStr
    type: StrictStr
    __properties: ClassVar[List[str]] = ["loc", "msg", "type"]

    model_config = {
        "populate_by_name": True,
        "validate_assignment": True
    }


    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:
        """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.
        """
        _dict = self.model_dump(
            by_alias=True,
            exclude={
            },
            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 in self.loc:
                if _item:
                    _items.append(_item.to_dict())
            _dict['loc'] = _items
        return _dict

    @classmethod
    def from_dict(cls, obj: Dict) -> Self:
        """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": [LocationInner.from_dict(_item) for _item in obj.get("loc")] if obj.get("loc") is not None else None,
            "msg": obj.get("msg"),
            "type": obj.get("type")
        })
        return _obj

from_dict(obj) classmethod

Create an instance of ValidationError from a dict

Source code in cheshire_cat_api/models/validation_error.py 
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@classmethod
def from_dict(cls, obj: Dict) -> Self:
    """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": [LocationInner.from_dict(_item) for _item in obj.get("loc")] if obj.get("loc") is not None else None,
        "msg": obj.get("msg"),
        "type": obj.get("type")
    })
    return _obj

from_json(json_str) classmethod

Create an instance of ValidationError from a JSON string

Source code in cheshire_cat_api/models/validation_error.py 
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@classmethod
def from_json(cls, json_str: str) -> Self:
    """Create an instance of ValidationError from a JSON string"""
    return cls.from_dict(json.loads(json_str))

to_dict()

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 cheshire_cat_api/models/validation_error.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.
    """
    _dict = self.model_dump(
        by_alias=True,
        exclude={
        },
        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 in self.loc:
            if _item:
                _items.append(_item.to_dict())
        _dict['loc'] = _items
    return _dict

to_json()

Returns the JSON representation of the model using alias

Source code in cheshire_cat_api/models/validation_error.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())

to_str()

Returns the string representation of the model using alias

Source code in cheshire_cat_api/models/validation_error.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))