# coding: utf-8

"""
    Daytona

    Daytona AI platform API Docs

    The version of the OpenAPI document: 1.0
    Contact: support@daytona.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
from typing import Any, ClassVar, Dict, List, Optional
from daytona_api_client.models.rate_limit_entry import RateLimitEntry
from pydantic import TypeAdapter
from typing import Optional, Set
from typing_extensions import Self

_JSON_ADAPTER = TypeAdapter(Dict[str, Any])

class RateLimitConfig(BaseModel):
    """
    RateLimitConfig
    """ # noqa: E501
    failed_auth: Optional[RateLimitEntry] = Field(default=None, description="Failed authentication rate limit", serialization_alias="failedAuth")
    authenticated: Optional[RateLimitEntry] = Field(default=None, description="Authenticated rate limit")
    sandbox_create: Optional[RateLimitEntry] = Field(default=None, description="Sandbox create rate limit", serialization_alias="sandboxCreate")
    sandbox_lifecycle: Optional[RateLimitEntry] = Field(default=None, description="Sandbox lifecycle rate limit", serialization_alias="sandboxLifecycle")
    additional_properties: Dict[str, Any] = {}
    __properties: ClassVar[List[str]] = ["failedAuth", "authenticated", "sandboxCreate", "sandboxLifecycle"]

    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"""
        return _JSON_ADAPTER.dump_json(self.to_dict()).decode()

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of RateLimitConfig 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.
        * Fields in `self.additional_properties` are added to the output dict.
        """
        excluded_fields: Set[str] = set([
            "additional_properties",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of failed_auth
        if self.failed_auth:
            _dict['failedAuth'] = self.failed_auth.to_dict()
        # override the default output from pydantic by calling `to_dict()` of authenticated
        if self.authenticated:
            _dict['authenticated'] = self.authenticated.to_dict()
        # override the default output from pydantic by calling `to_dict()` of sandbox_create
        if self.sandbox_create:
            _dict['sandboxCreate'] = self.sandbox_create.to_dict()
        # override the default output from pydantic by calling `to_dict()` of sandbox_lifecycle
        if self.sandbox_lifecycle:
            _dict['sandboxLifecycle'] = self.sandbox_lifecycle.to_dict()
        # puts key-value pairs in additional_properties in the top level
        if self.additional_properties is not None:
            for _key, _value in self.additional_properties.items():
                _dict[_key] = _value

        return _dict

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

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

        _obj = cls.model_validate({
            "failed_auth": RateLimitEntry.from_dict(obj["failedAuth"]) if obj.get("failedAuth") is not None else None,
            "authenticated": RateLimitEntry.from_dict(obj["authenticated"]) if obj.get("authenticated") is not None else None,
            "sandbox_create": RateLimitEntry.from_dict(obj["sandboxCreate"]) if obj.get("sandboxCreate") is not None else None,
            "sandbox_lifecycle": RateLimitEntry.from_dict(obj["sandboxLifecycle"]) if obj.get("sandboxLifecycle") is not None else None
        })
        # store additional fields in additional_properties
        for _key in obj.keys():
            if _key not in cls.__properties:
                _obj.additional_properties[_key] = obj.get(_key)

        return _obj