bucket_backend.py

# coding: utf-8

"""
    STACKIT CDN API

    API used to create and manage your CDN distributions.

    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 json
import pprint
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from pydantic_core import to_jsonable_python
from typing_extensions import Self


class BucketBackend(BaseModel):
    """
    BucketBackend
    """  # noqa: E501

    bucket_url: StrictStr = Field(
        description="The fully qualified URL of your cloud storage bucket (for example, `https://s3.eu-central-1.amazonaws.com/my-bucket`).",
        alias="bucketUrl",
    )
    region: StrictStr = Field(
        description="The cloud provider region where your storage bucket is located (for example, `us-west-1` for AWS or `eu01` for STACKIT)."
    )
    type: StrictStr = Field(
        description="Defines the type of content origin. For this schema, it must be set to `bucket`."
    )
    __properties: ClassVar[List[str]] = ["bucketUrl", "region", "type"]

    @field_validator("type")
    def type_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(["bucket"]):
            raise ValueError("must be one of enum values ('bucket')")
        return value

    model_config = ConfigDict(
        validate_by_name=True,
        validate_by_alias=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"""
        return json.dumps(to_jsonable_python(self.to_dict()))

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of BucketBackend 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 BucketBackend from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {"bucketUrl": obj.get("bucketUrl"), "region": obj.get("region"), "type": obj.get("type")}
        )
        return _obj