# coding: utf-8

"""
    Mixpeek API

    This is the Mixpeek API, providing access to various endpoints for data processing and retrieval.

    The version of the OpenAPI document: 1.3.0
    Contact: info@mixpeek.com
    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_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self

class ConfigureCORSRequest(BaseModel):
    """
    Request model for configuring CORS on object storage.  This allows administrators to configure CORS policies on the object storage bucket to enable browser-based uploads using presigned URLs.
    """ # noqa: E501
    allowed_origins: Annotated[List[StrictStr], Field(min_length=1)] = Field(description="List of allowed origins for CORS. These are the frontend URLs that will be allowed to upload directly to object storage. REQUIRED. Must be valid HTTP/HTTPS URLs. Examples: ['http://localhost:8080', 'https://app.example.com']")
    allowed_methods: Optional[List[StrictStr]] = Field(default=None, description="HTTP methods to allow for CORS requests. OPTIONAL - defaults to ['GET', 'PUT', 'POST', 'HEAD', 'DELETE'] if not provided. Common methods: GET (download), PUT (upload), POST (multipart upload), HEAD (metadata check)")
    allowed_headers: Optional[List[StrictStr]] = Field(default=None, description="Headers that are allowed in CORS requests. OPTIONAL - defaults to ['*'] (allow all headers) if not provided. Use ['*'] for maximum compatibility or specify specific headers.")
    expose_headers: Optional[List[StrictStr]] = Field(default=None, description="Headers that browsers are allowed to access in responses. OPTIONAL - defaults to ['ETag', 'x-amz-request-id'] if not provided. 'ETag' is particularly important for upload confirmation.")
    max_age_seconds: Optional[Annotated[int, Field(le=86400, strict=True, ge=0)]] = Field(default=None, description="How long (in seconds) browsers should cache preflight request results. OPTIONAL - defaults to 3000 seconds (50 minutes) if not provided. Higher values reduce preflight requests but may delay policy updates.")
    __properties: ClassVar[List[str]] = ["allowed_origins", "allowed_methods", "allowed_headers", "expose_headers", "max_age_seconds"]

    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 ConfigureCORSRequest 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 ConfigureCORSRequest from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "allowed_origins": obj.get("allowed_origins"),
            "allowed_methods": obj.get("allowed_methods"),
            "allowed_headers": obj.get("allowed_headers"),
            "expose_headers": obj.get("expose_headers"),
            "max_age_seconds": obj.get("max_age_seconds")
        })
        return _obj


