# 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, StrictBool, StrictInt, StrictStr
from typing_extensions import Self

from okta.models.log_user_behavior import LogUserBehavior


class LogSecurityContext(BaseModel):
    """
    The `securityContext` object provides security information that is directly related to the evaluation of the event's IP
    reputation. IP reputation is a trustworthiness rating that evaluates how likely a sender is to be malicious and is based
    on the sender's IP address. As the name implies, the `securityContext` object is useful for security
    applications-flagging and inspecting suspicious events.
    """  # noqa: E501

    as_number: Optional[StrictInt] = Field(
        default=None,
        description="The [Autonomous system](https://docs.telemetry.mozilla.org/datasets/other/asn_aggregates/reference) "
        "number that's associated with the autonomous system the event request was sourced to",
        alias="asNumber",
    )
    as_org: Optional[StrictStr] = Field(
        default=None,
        description="The organization that is associated with the autonomous system that the event request is sourced to",
        alias="asOrg",
    )
    domain: Optional[StrictStr] = Field(
        default=None,
        description="The domain name that's associated with the IP address of the inbound event request",
    )
    isp: Optional[StrictStr] = Field(
        default=None,
        description="The Internet service provider that's used to send the event's request",
    )
    is_proxy: Optional[StrictBool] = Field(
        default=None,
        description="Specifies whether an event's request is from a known proxy",
        alias="isProxy",
    )
    user_behaviors: Optional[List[LogUserBehavior]] = Field(
        default=None,
        description="The result of the user behavior detection models associated with the event",
        alias="userBehaviors",
    )
    __properties: ClassVar[List[str]] = [
        "asNumber",
        "asOrg",
        "domain",
        "isp",
        "isProxy",
        "userBehaviors",
    ]

    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 LogSecurityContext 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.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        """
        excluded_fields: Set[str] = set(
            [
                "as_number",
                "as_org",
                "domain",
                "isp",
                "is_proxy",
                "user_behaviors",
            ]
        )

        _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 user_behaviors (list)
        _items = []
        if self.user_behaviors:
            for _item in self.user_behaviors:
                if _item:
                    _items.append(_item.to_dict())
            _dict["userBehaviors"] = _items
        # set to None if as_number (nullable) is None
        # and model_fields_set contains the field
        if self.as_number is None and "as_number" in self.model_fields_set:
            _dict["asNumber"] = None

        # set to None if as_org (nullable) is None
        # and model_fields_set contains the field
        if self.as_org is None and "as_org" in self.model_fields_set:
            _dict["asOrg"] = None

        # set to None if domain (nullable) is None
        # and model_fields_set contains the field
        if self.domain is None and "domain" in self.model_fields_set:
            _dict["domain"] = None

        # set to None if isp (nullable) is None
        # and model_fields_set contains the field
        if self.isp is None and "isp" in self.model_fields_set:
            _dict["isp"] = None

        # set to None if is_proxy (nullable) is None
        # and model_fields_set contains the field
        if self.is_proxy is None and "is_proxy" in self.model_fields_set:
            _dict["isProxy"] = None

        return _dict

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

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

        _obj = cls.model_validate(
            {
                "asNumber": obj.get("asNumber"),
                "asOrg": obj.get("asOrg"),
                "domain": obj.get("domain"),
                "isp": obj.get("isp"),
                "isProxy": obj.get("isProxy"),
                "userBehaviors": (
                    [LogUserBehavior.from_dict(_item) for _item in obj["userBehaviors"]]
                    if obj.get("userBehaviors") is not None
                    else None
                ),
            }
        )
        return _obj
