# The Okta software accompanied by this notice is provided pursuant to the following terms:
# Copyright © 2025-Present, Okta, Inc.
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the
# License.
# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.
# Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS
# IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and limitations under the License.
# coding: utf-8

"""
Okta Admin Management

Allows customers to easily access the Okta Management APIs

The version of the OpenAPI document: 5.1.0
Contact: devex-public@okta.com
Generated by OpenAPI Generator (https://openapi-generator.tech)

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

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List
from typing import Optional, Set

from pydantic import BaseModel, ConfigDict, Field
from typing_extensions import Self

from okta.models.log_ip_address import LogIpAddress


class LogRequest(BaseModel):
    """
    The `Request` object describes details that are related to the HTTP request that triggers this event, if available. When
    the event isn't sourced to an HTTP request, such as an automatic update on the Okta servers, the `Request` object still
    exists, but the `ipChain` field is empty.
    """  # noqa: E501

    ip_chain: Optional[List[LogIpAddress]] = Field(
        default=None,
        description="If the incoming request passes through any proxies, the IP addresses of those proxies are stored here "
        "in the format of clientIp, proxy1, proxy2, and so on. This field is useful when working with trusted "
        "proxies.",
        alias="ipChain",
    )
    __properties: ClassVar[List[str]] = ["ipChain"]

    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 LogRequest 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.
        * OpenAPI `readOnly` fields are excluded.
        """
        excluded_fields: Set[str] = set(
            [
                "ip_chain",
            ]
        )

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of each item in ip_chain (list)
        _items = []
        if self.ip_chain:
            for _item in self.ip_chain:
                if _item:
                    _items.append(_item.to_dict())
            _dict["ipChain"] = _items
        return _dict

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

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

        _obj = cls.model_validate(
            {
                "ipChain": (
                    [LogIpAddress.from_dict(_item) for _item in obj["ipChain"]]
                    if obj.get("ipChain") is not None
                    else None
                )
            }
        )
        return _obj
