# coding: utf-8

"""
    Cyberwave API

    Cyberwave platform REST API. Use 'Bearer YOUR_TOKEN' for authentication.

    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 pprint
import re  # noqa: F401
import json

from datetime import datetime
from pydantic import BaseModel, ConfigDict, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class AlertSchema(BaseModel):
    """
    Schema for Alert response.
    """ # noqa: E501
    uuid: StrictStr
    name: StrictStr
    description: StrictStr
    alert_type: StrictStr
    severity: StrictStr
    status: StrictStr
    source_type: StrictStr
    twin_uuid: Optional[StrictStr] = None
    environment_uuid: Optional[StrictStr] = None
    workflow_uuid: Optional[StrictStr] = None
    workspace_uuid: StrictStr
    created_by_uuid: Optional[StrictStr] = None
    created_at: datetime
    updated_at: datetime
    resolved_at: Optional[datetime] = None
    __properties: ClassVar[List[str]] = ["uuid", "name", "description", "alert_type", "severity", "status", "source_type", "twin_uuid", "environment_uuid", "workflow_uuid", "workspace_uuid", "created_by_uuid", "created_at", "updated_at", "resolved_at"]

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

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

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

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "uuid": obj.get("uuid"),
            "name": obj.get("name"),
            "description": obj.get("description"),
            "alert_type": obj.get("alert_type"),
            "severity": obj.get("severity"),
            "status": obj.get("status"),
            "source_type": obj.get("source_type"),
            "twin_uuid": obj.get("twin_uuid"),
            "environment_uuid": obj.get("environment_uuid"),
            "workflow_uuid": obj.get("workflow_uuid"),
            "workspace_uuid": obj.get("workspace_uuid"),
            "created_by_uuid": obj.get("created_by_uuid"),
            "created_at": obj.get("created_at"),
            "updated_at": obj.get("updated_at"),
            "resolved_at": obj.get("resolved_at")
        })
        return _obj


