Source code for annofabapi.pydantic_models.task_generate_rule_by_input_data_csv

"""


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




class TaskGenerateRuleByInputDataCsv(BaseModel):
    """
    各タスクへの入力データへの割当を記入したCSVへのS3上のパスを指定してタスクを生成します。 1つのタスクに対する入力データの個数は最大200です。200を超えるタスクが1つでもある場合にはタスク生成に失敗します。
    """

    csv_data_path: StrictStr = Field(description="各タスクへの入力データへの割り当てを記入したCSVへのS3上のパス。 ")
    type: StrictStr | None = Field(default=None, description="`ByInputDataCsv` [詳しくはこちら](#section/API-Convention/API-_type) ", alias="_type")
    __properties: ClassVar[List[str]] = ["csv_data_path", "_type"]

    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) -> Self | None:
        """Create an instance of TaskGenerateRuleByInputDataCsv 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: Dict[str, Any] | None) -> Self | None:
        """Create an instance of TaskGenerateRuleByInputDataCsv from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({"csv_data_path": obj.get("csv_data_path"), "_type": obj.get("_type")})
        return _obj