Source code for annofabapi.pydantic_models.inspection_data_polyline
"""
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
The version of the OpenAPI document: 1.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
"""
from __future__ import annotations
import json
import pprint
import re # noqa: F401
from typing import Any, ClassVar, Dict, List, Set
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing_extensions import Self
from annofabapi.pydantic_models.inspection_data_polyline_coordinates_inner import InspectionDataPolylineCoordinatesInner
[docs]
class InspectionDataPolyline(BaseModel):
"""
問題のある部分を示すポリライン
"""
coordinates: List[InspectionDataPolylineCoordinatesInner] = Field(description="ポリラインを構成する頂点の配列 ")
type: StrictStr | None = Field(default=None, description="`Polyline` [詳しくはこちら](#section/API-Convention/API-_type) ", alias="_type")
__properties: ClassVar[List[str]] = ["coordinates", "_type"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
[docs]
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
[docs]
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())
[docs]
@classmethod
def from_json(cls, json_str: str) -> Self | None:
"""Create an instance of InspectionDataPolyline from a JSON string"""
return cls.from_dict(json.loads(json_str))
[docs]
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 coordinates (list)
_items = []
if self.coordinates:
for _item_coordinates in self.coordinates:
if _item_coordinates:
_items.append(_item_coordinates.to_dict())
_dict["coordinates"] = _items
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Dict[str, Any] | None) -> Self | None:
"""Create an instance of InspectionDataPolyline from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"coordinates": [InspectionDataPolylineCoordinatesInner.from_dict(_item) for _item in obj["coordinates"]]
if obj.get("coordinates") is not None
else None,
"_type": obj.get("_type"),
}
)
return _obj