Source code for annofabapi.pydantic_models.count_result
"""
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, StrictInt, StrictStr
from typing_extensions import Self
[docs]
class CountResult(BaseModel):
"""
CountResult
"""
type: StrictStr = Field(description="`CountResult` [詳しくはこちら](#section/API-Convention/API-_type) ", alias="_type")
name: StrictStr = Field(
description="複数の集約を区別するための名前です。 `(フィールド名)_(集約内容)` のように命名されます。例えば `account_id` フィールドを `count` する場合、`account_id_count` となります。 "
)
var_field: StrictStr = Field(
description="集約に使われたリソースのフィールド名です。 リソースの属性のさらに属性を参照するときは、`foo.bar.buz` のようにドット区切りになります。 ",
alias="field",
)
doc_count: StrictInt | None = Field(default=None, description="集約の件数です。 ")
items: List[Count] = Field(description="集約結果の値です。 ")
__properties: ClassVar[List[str]] = ["_type", "name", "field", "doc_count", "items"]
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 CountResult 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 items (list)
_items = []
if self.items:
for _item_items in self.items:
if _item_items:
_items.append(_item_items.to_dict())
_dict["items"] = _items
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Dict[str, Any] | None) -> Self | None:
"""Create an instance of CountResult from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"_type": obj.get("_type"),
"name": obj.get("name"),
"field": obj.get("field"),
"doc_count": obj.get("doc_count"),
"items": [Count.from_dict(_item) for _item in obj["items"]] if obj.get("items") is not None else None,
}
)
return _obj
from annofabapi.pydantic_models.count import Count
# TODO: Rewrite to not use raise_errors
CountResult.model_rebuild(raise_errors=False)