thousandeyes-sdk-python/thousandeyes-sdk-endpoint-labels/src/thousandeyes_sdk/endpoint_labels/models/label.py
Shahid Hussain Khan 745e74afc4
CP-2189 Update SDK names for admin and monitors modules (#9)
* CP-2189 Update SDK names for admin and monitors modules

* CP-2189 Move client to core

* CP-2189 Change client to core
2024-06-04 16:09:40 +01:00

108 lines
3.7 KiB
Python

# coding: utf-8
"""
Endpoint Agent Labels API
Manage labels applied to endpoint agents using this API.
The version of the OpenAPI document: 7.0.6
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.endpoint_labels.models.filter import Filter
from thousandeyes_sdk.endpoint_labels.models.match_type import MatchType
from typing import Optional, Set
from typing_extensions import Self
class Label(BaseModel):
"""
A label definition.
""" # noqa: E501
id: Optional[StrictStr] = Field(default=None, description="Label identifier.")
name: Optional[StrictStr] = Field(default=None, description="The label name.")
color: Optional[StrictStr] = Field(default=None, description="UI color")
match_type: Optional[MatchType] = Field(default=None, alias="matchType")
filters: Optional[List[Filter]] = Field(default=None, description="The filters combined using the matchType to determine the label's match.")
__properties: ClassVar[List[str]] = ["id", "name", "color", "matchType", "filters"]
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 Label 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([
"id",
])
_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 filters (list)
_items = []
if self.filters:
for _item in self.filters:
if _item:
_items.append(_item.to_dict())
_dict['filters'] = _items
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of Label from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"id": obj.get("id"),
"name": obj.get("name"),
"color": obj.get("color"),
"matchType": obj.get("matchType"),
"filters": [Filter.from_dict(_item) for _item in obj["filters"]] if obj.get("filters") is not None else None
})
return _obj