Source code for annofabapi.pydantic_models.worktime_statistics

"""


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.account_worktime_statistics import AccountWorktimeStatistics
from annofabapi.pydantic_models.worktime_statistics_item import WorktimeStatisticsItem


[docs] class WorktimeStatistics(BaseModel): """ WorktimeStatistics """ project_id: StrictStr = Field(description="プロジェクトID。[値の制約についてはこちら。](#section/API-Convention/APIID) ") var_date: str = Field(alias="date") by_tasks: List[WorktimeStatisticsItem] = Field( description="タスクごとに計算した「画像1枚あたりの作業時間平均」の統計(動画プロジェクトの場合は空リスト)" ) by_inputs: List[WorktimeStatisticsItem] = Field(description="画像1個当たりの作業時間情報(動画プロジェクトの場合は空リスト)") by_minutes: List[WorktimeStatisticsItem] = Field(description="動画1分当たりの作業時間情報(画像プロジェクトの場合は空リスト)") accounts: List[AccountWorktimeStatistics] = Field(description="ユーザーごとの作業時間情報") __properties: ClassVar[List[str]] = ["project_id", "date", "by_tasks", "by_inputs", "by_minutes", "accounts"] 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 WorktimeStatistics 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 by_tasks (list) _items = [] if self.by_tasks: for _item_by_tasks in self.by_tasks: if _item_by_tasks: _items.append(_item_by_tasks.to_dict()) _dict["by_tasks"] = _items # override the default output from pydantic by calling `to_dict()` of each item in by_inputs (list) _items = [] if self.by_inputs: for _item_by_inputs in self.by_inputs: if _item_by_inputs: _items.append(_item_by_inputs.to_dict()) _dict["by_inputs"] = _items # override the default output from pydantic by calling `to_dict()` of each item in by_minutes (list) _items = [] if self.by_minutes: for _item_by_minutes in self.by_minutes: if _item_by_minutes: _items.append(_item_by_minutes.to_dict()) _dict["by_minutes"] = _items # override the default output from pydantic by calling `to_dict()` of each item in accounts (list) _items = [] if self.accounts: for _item_accounts in self.accounts: if _item_accounts: _items.append(_item_accounts.to_dict()) _dict["accounts"] = _items return _dict
[docs] @classmethod def from_dict(cls, obj: Dict[str, Any] | None) -> Self | None: """Create an instance of WorktimeStatistics from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate( { "project_id": obj.get("project_id"), "date": obj.get("date"), "by_tasks": [WorktimeStatisticsItem.from_dict(_item) for _item in obj["by_tasks"]] if obj.get("by_tasks") is not None else None, "by_inputs": [WorktimeStatisticsItem.from_dict(_item) for _item in obj["by_inputs"]] if obj.get("by_inputs") is not None else None, "by_minutes": [WorktimeStatisticsItem.from_dict(_item) for _item in obj["by_minutes"]] if obj.get("by_minutes") is not None else None, "accounts": [AccountWorktimeStatistics.from_dict(_item) for _item in obj["accounts"]] if obj.get("accounts") is not None else None, } ) return _obj