Source code for annofabapi.pydantic_models.project_account_statistics_history
"""
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 ProjectAccountStatisticsHistory(BaseModel):
"""
ProjectAccountStatisticsHistory
"""
var_date: str = Field(alias="date")
tasks_completed: StrictInt = Field(
description="教師付フェーズのタスクを提出した回数、または検査/受入フェーズのタスクを合格/差戻にした回数。 たとえば、あるタスクのタスク履歴が下表の状態だった場合、2020-04-01の`tasks_completed`は以下の通りになります。 * Alice: 1 * Bob: 1 * Chris: 2 <table> <tr> <th>担当者</th> <th>フェーズ</th> <th>作業内容</th> <th>完了日時</th> </tr> <tr> <td>Alice</td> <td>教師付</td> <td>提出する</td> <td>2020-04-01 09:00</td> </tr> <tr> <td>Chris</td> <td>受入</td> <td>差し戻す</td> <td>2020-04-01 10:00</td> </tr> <tr> <td>Bob</td> <td>教師付</td> <td>提出する</td> <td>2020-04-01 11:00</td> </tr> <tr> <td>Chris</td> <td>受入</td> <td>合格にする</td> <td>2020-04-01 12:00</td> </tr> </table> "
)
tasks_rejected: StrictInt = Field(
description="教師付フェーズを担当したタスクが差し戻された回数、または受入フェーズを担当したタスクが受入完了を取り消された回数。 たとえば、あるタスクのタスク履歴が下表の状態だった場合、2020-04-01の`tasks_rejected`は以下の通りになります。 * Alice: 1 * Bob: 1 * Chris: 1 <table> <tr> <th>担当者</th> <th>フェーズ</th> <th>作業内容</th> <th>完了日時</th> </tr> <tr> <td>Alice</td> <td>教師付</td> <td>提出する</td> <td>2020-04-01 09:00</td> </tr> <tr> <td>Chris</td> <td>受入</td> <td>差し戻す</td> <td>2020-04-01 10:00</td> </tr> <tr> <td>Bob</td> <td>教師付</td> <td>提出する</td> <td>2020-04-01 11:00</td> </tr> <tr> <td>Chris</td> <td>受入</td> <td>差し戻す</td> <td>2020-04-01 12:00</td> </tr> <tr> <td>Bob</td> <td>教師付</td> <td>提出する</td> <td>2020-04-01 13:00</td> </tr> <tr> <td>Chris</td> <td>受入</td> <td>合格にする</td> <td>2020-04-01 14:00</td> </tr> <tr> <td>Dave</td> <td>受入</td> <td>受入完了状態を取り消して、再度合格にする</td> <td>2020-04-01 15:00</td> </tr> </table> "
)
worktime: StrictStr = Field(description="作業時間(ISO 8601 duration)")
__properties: ClassVar[List[str]] = ["date", "tasks_completed", "tasks_rejected", "worktime"]
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 ProjectAccountStatisticsHistory 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,
)
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Dict[str, Any] | None) -> Self | None:
"""Create an instance of ProjectAccountStatisticsHistory from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"date": obj.get("date"),
"tasks_completed": obj.get("tasks_completed"),
"tasks_rejected": obj.get("tasks_rejected"),
"worktime": obj.get("worktime"),
}
)
return _obj