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immich-to-cloud-exporter/generated/immich/openapi_client/models/crop_parameters.py
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2.9 KiB
Python

# coding: utf-8
"""
Immich
Immich API
The version of the OpenAPI document: 3.0.1
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field
from typing import Any, ClassVar, Dict, List
from typing_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self
class CropParameters(BaseModel):
"""
CropParameters
""" # noqa: E501
height: Annotated[int, Field(le=9007199254740991, strict=True, ge=1)] = Field(description="Height of the crop")
width: Annotated[int, Field(le=9007199254740991, strict=True, ge=1)] = Field(description="Width of the crop")
x: Annotated[int, Field(le=9007199254740991, strict=True, ge=0)] = Field(description="Top-Left X coordinate of crop")
y: Annotated[int, Field(le=9007199254740991, strict=True, ge=0)] = Field(description="Top-Left Y coordinate of crop")
__properties: ClassVar[List[str]] = ["height", "width", "x", "y"]
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) -> Optional[Self]:
"""Create an instance of CropParameters 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,
)
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of CropParameters from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"height": obj.get("height"),
"width": obj.get("width"),
"x": obj.get("x"),
"y": obj.get("y")
})
return _obj