😸 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)
:
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/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))
|