# coding: utf-8

"""
    Alerts API

    You can manage the following alert functionalities on the ThousandEyes platform using the Alerts API:  * **Alerts**: Retrieve alert details. Alerts are assigned to tests through alert rules.  * **Alert Rules**: Conditions that you configure in order to highlight or be notified of events of interest in your ThousandEyes tests. When an alert rule’s conditions are met, the associated alert is triggered and the alert becomes active. It remains active until the alert is cleared. Alert rules are reusable across multiple tests..  * **Alert Suppression Windows**: Suppress alerts for tests during periods such as planned maintenance. Windows can be one-time events or recurring events to handle periodic occurrences such as monthly downtime for maintenance.  For more information about the alerts, see [Alerts](https://docs.thousandeyes.com/product-documentation/alerts). 

    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, Field, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.alerts.models.alert_test_type import AlertTestType
from thousandeyes_sdk.alerts.models.test_interval import TestInterval
from thousandeyes_sdk.alerts.models.test_links import TestLinks
from typing import Optional, Set
from typing_extensions import Self

class AlertSimpleTest(BaseModel):
    """
    Each test includes additional fields depending on its `type`. Refer `/tests/{type}` endpoint to know the set of fields returned by a given `type`.
    """ # noqa: E501
    interval: Optional[TestInterval] = None
    alerts_enabled: Optional[StrictBool] = Field(default=None, description="Indicates if alerts are enabled.", alias="alertsEnabled")
    enabled: Optional[StrictBool] = Field(default=True, description="Test is enabled.")
    created_by: Optional[StrictStr] = Field(default=None, description="User that created the test.", alias="createdBy")
    created_date: Optional[datetime] = Field(default=None, description="UTC created date (ISO date-time format).", alias="createdDate")
    description: Optional[StrictStr] = Field(default=None, description="A description of the test.")
    live_share: Optional[StrictBool] = Field(default=None, description="Indicates if the test is shared with the account group.", alias="liveShare")
    modified_by: Optional[StrictStr] = Field(default=None, description="User that modified the test.", alias="modifiedBy")
    modified_date: Optional[datetime] = Field(default=None, description="UTC last modification date (ISO date-time format).", alias="modifiedDate")
    saved_event: Optional[StrictBool] = Field(default=None, description="Indicates if the test is a saved event. **Note**: **Saved Events** are now called **Private Snapshots** in the user interface. This change does not affect API.", alias="savedEvent")
    test_id: Optional[StrictStr] = Field(default=None, description="Each test is assigned an unique ID; this is used to access test information and results from other endpoints.", alias="testId")
    test_name: Optional[StrictStr] = Field(default=None, description="The name of the test. Test name must be unique.", alias="testName")
    type: Optional[AlertTestType] = None
    links: Optional[TestLinks] = Field(default=None, alias="_links")
    additional_properties: Dict[str, Any] = {}
    __properties: ClassVar[List[str]] = ["interval", "alertsEnabled", "enabled", "createdBy", "createdDate", "description", "liveShare", "modifiedBy", "modifiedDate", "savedEvent", "testId", "testName", "type", "_links"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
        extra="allow",
    )


    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 self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of AlertSimpleTest 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.
        * OpenAPI `readOnly` fields are excluded.
        * Fields in `self.additional_properties` are added to the output dict.
        """
        excluded_fields: Set[str] = set([
            "created_by",
            "created_date",
            "live_share",
            "modified_by",
            "modified_date",
            "saved_event",
            "test_id",
            "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 links
        if self.links:
            _dict['_links'] = self.links.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 AlertSimpleTest from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "interval": obj.get("interval"),
            "alertsEnabled": obj.get("alertsEnabled"),
            "enabled": obj.get("enabled") if obj.get("enabled") is not None else True,
            "createdBy": obj.get("createdBy"),
            "createdDate": obj.get("createdDate"),
            "description": obj.get("description"),
            "liveShare": obj.get("liveShare"),
            "modifiedBy": obj.get("modifiedBy"),
            "modifiedDate": obj.get("modifiedDate"),
            "savedEvent": obj.get("savedEvent"),
            "testId": obj.get("testId"),
            "testName": obj.get("testName"),
            "type": obj.get("type"),
            "_links": TestLinks.from_dict(obj["_links"]) if obj.get("_links") 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