# coding: utf-8

"""
    Tests API

    **Note:** The Page Load Tests, API Tests, and Web Transaction Tests APIs are not available for ThousandEyes for Government instance.  This API allows you to list, create, edit, and delete Network and Application Synthetics tests. 

    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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class BaseRequest(BaseModel):
    """
    BaseRequest
    """ # noqa: E501
    labels: Optional[List[StrictStr]] = Field(default=None, description="Contains list of test label IDs (get `labelId` from `/labels` endpoint)")
    tags: Optional[List[StrictStr]] = Field(default=None, description="Contains list of test tag IDs (get `id` from `/tags` endpoint).")
    shared_with_accounts: Optional[List[StrictStr]] = Field(default=None, description="Contains list of account group IDs. Test is shared with the listed account groups (get `aid` from `/account-groups` endpoint)", alias="sharedWithAccounts")
    alert_rules: Optional[List[StrictStr]] = Field(default=None, description="List of alert rules IDs to apply to the test (get `ruleId` from `/alerts/rules` endpoint. If `alertsEnabled` is set to `true` and `alertRules` is not included on test creation or update, applicable user default alert rules will be used)", alias="alertRules")
    __properties: ClassVar[List[str]] = ["labels", "tags", "sharedWithAccounts", "alertRules"]

    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 BaseRequest 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,
        )
        return _dict

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

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

        _obj = cls.model_validate({
            "labels": obj.get("labels"),
            "tags": obj.get("tags"),
            "sharedWithAccounts": obj.get("sharedWithAccounts"),
            "alertRules": obj.get("alertRules")
        })
        return _obj


