😸 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.
  
            BodyUploadUrl
    
            
              Bases: BaseModel
        BodyUploadUrl
              
                Source code in cheshire_cat_api/models/body_upload_url.py
                |  | class BodyUploadUrl(BaseModel):
    """
    BodyUploadUrl
    """ # noqa: E501
    url: StrictStr = Field(description="URL of the website to which you want to save the content")
    chunk_size: Optional[StrictInt] = Field(default=400, description="Maximum length of each chunk after the document is split (in characters)")
    chunk_overlap: Optional[StrictInt] = Field(default=100, description="Chunk overlap (in characters)")
    __properties: ClassVar[List[str]] = ["url", "chunk_size", "chunk_overlap"]
    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 BodyUploadUrl 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,
        )
        return _dict
    @classmethod
    def from_dict(cls, obj: Dict) -> Self:
        """Create an instance of BodyUploadUrl from a dict"""
        if obj is None:
            return None
        if not isinstance(obj, dict):
            return cls.model_validate(obj)
        _obj = cls.model_validate({
            "url": obj.get("url"),
            "chunk_size": obj.get("chunk_size") if obj.get("chunk_size") is not None else 400,
            "chunk_overlap": obj.get("chunk_overlap") if obj.get("chunk_overlap") is not None else 100
        })
        return _obj
 | 
 
  
            from_dict(obj)
  
      classmethod
  
    
        Create an instance of BodyUploadUrl from a dict
            
              Source code in cheshire_cat_api/models/body_upload_url.py
              |  | @classmethod
def from_dict(cls, obj: Dict) -> Self:
    """Create an instance of BodyUploadUrl from a dict"""
    if obj is None:
        return None
    if not isinstance(obj, dict):
        return cls.model_validate(obj)
    _obj = cls.model_validate({
        "url": obj.get("url"),
        "chunk_size": obj.get("chunk_size") if obj.get("chunk_size") is not None else 400,
        "chunk_overlap": obj.get("chunk_overlap") if obj.get("chunk_overlap") is not None else 100
    })
    return _obj
 | 
 
     
 
            from_json(json_str)
  
      classmethod
  
    
        Create an instance of BodyUploadUrl from a JSON string
            
              Source code in cheshire_cat_api/models/body_upload_url.py
              |  | @classmethod
def from_json(cls, json_str: str) -> Self:
    """Create an instance of BodyUploadUrl 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):
- Noneis only added to the output dict for nullable fields that
  were set at model initialization. Other fields with value- Noneare ignored.
              Source code in cheshire_cat_api/models/body_upload_url.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.
    """
    _dict = self.model_dump(
        by_alias=True,
        exclude={
        },
        exclude_none=True,
    )
    return _dict
 | 
 
     
 
            to_json()
    
        Returns the JSON representation of the model using alias
            
              Source code in cheshire_cat_api/models/body_upload_url.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())
 | 
 
     
 
            to_str()
    
        Returns the string representation of the model using alias
            
              Source code in cheshire_cat_api/models/body_upload_url.py
              |  | def to_str(self) -> str:
    """Returns the string representation of the model using alias"""
    return pprint.pformat(self.model_dump(by_alias=True))
 |