thousandeyes-sdk-python/thousandeyes-sdk-tests/src/thousandeyes_sdk/tests/models/dns_sec_properties.py
Shahid Hussain Khan 9f18f0f6f2
[GitHub Bot] Generated python SDK (#42)
Co-authored-by: API Team <api-team@thousandeyes.com>
2024-08-11 09:57:09 +01:00

95 lines
3.0 KiB
Python

# coding: utf-8
"""
Tests API
This API supports listing, creating, editing, and deleting Cloud and Enterprise Agent (CEA) based 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 thousandeyes_sdk.tests.models.dns_query_class import DnsQueryClass
from typing import Optional, Set
from typing_extensions import Self
class DnsSecProperties(BaseModel):
"""
DnsSecProperties
""" # noqa: E501
domain: StrictStr = Field(description="The target record for the test, with the record type suffixed. If no record type is specified, the test defaults to an ANY record.")
dns_query_class: Optional[DnsQueryClass] = Field(default=None, alias="dnsQueryClass")
type: Optional[StrictStr] = None
__properties: ClassVar[List[str]] = ["domain", "dnsQueryClass", "type"]
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 DnsSecProperties 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([
"type",
])
_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 DnsSecProperties from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"domain": obj.get("domain"),
"dnsQueryClass": obj.get("dnsQueryClass"),
"type": obj.get("type")
})
return _obj