# coding: utf-8

"""
    Teambition Open API

    Teambition Open API

    The version of the OpenAPI document: 1.0.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501



from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class CreateUploadTokenV3ResponseResultUploadFormData(BaseModel):
    """
    以表单方式上传文件所需的参数
    """ # noqa: E501
    policy: Optional[StrictStr] = Field(default=None, description="上传的限制策略，如签名有效期（1个小时）、文件大小，返回base64编码后的结果")
    signature: Optional[StrictStr] = Field(default=None, description="POST签名")
    access_key_id: Optional[StrictStr] = Field(default=None, description="ACL策略中的Access Key ID", alias="accessKeyId")
    host: Optional[StrictStr] = Field(default=None, description="上传地址")
    x_amz_algorithm: Optional[StrictStr] = Field(default=None, description="AWS S3专用，请求签名的哈希算法", alias="X-Amz-Algorithm")
    x_amz_credential: Optional[StrictStr] = Field(default=None, description="AWS S3专用，用于身份验证", alias="X-Amz-Credential")
    x_amz_date: Optional[StrictStr] = Field(default=None, description="AWS S3专用，创建签名的日期", alias="X-Amz-Date")
    __properties: ClassVar[List[str]] = ["policy", "signature", "accessKeyId", "host", "X-Amz-Algorithm", "X-Amz-Credential", "X-Amz-Date"]

    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) -> Optional[Self]:
        """Create an instance of CreateUploadTokenV3ResponseResultUploadFormData 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: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of CreateUploadTokenV3ResponseResultUploadFormData from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "policy": obj.get("policy"),
            "signature": obj.get("signature"),
            "accessKeyId": obj.get("accessKeyId"),
            "host": obj.get("host"),
            "X-Amz-Algorithm": obj.get("X-Amz-Algorithm"),
            "X-Amz-Credential": obj.get("X-Amz-Credential"),
            "X-Amz-Date": obj.get("X-Amz-Date")
        })
        return _obj


