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107 lines
3.6 KiB
Python
107 lines
3.6 KiB
Python
# coding: utf-8
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"""
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Endpoint Agent Labels API
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Manage labels applied to endpoint agents using this API.
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional
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from thousandeyes_sdk.endpoint_labels.models.filter import Filter
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from thousandeyes_sdk.endpoint_labels.models.match_type import MatchType
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from typing import Optional, Set
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from typing_extensions import Self
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class Label(BaseModel):
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"""
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A label definition.
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""" # noqa: E501
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id: Optional[StrictStr] = Field(default=None, description="Label identifier.")
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name: Optional[StrictStr] = Field(default=None, description="The label name.")
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color: Optional[StrictStr] = Field(default=None, description="UI color")
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match_type: Optional[MatchType] = Field(default=None, alias="matchType")
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filters: Optional[List[Filter]] = Field(default=None, description="The filters combined using the matchType to determine the label's match.")
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__properties: ClassVar[List[str]] = ["id", "name", "color", "matchType", "filters"]
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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extra="allow",
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of Label from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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* OpenAPI `readOnly` fields are excluded.
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"""
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excluded_fields: Set[str] = set([
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"id",
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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# override the default output from pydantic by calling `to_dict()` of each item in filters (list)
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_items = []
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if self.filters:
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for _item in self.filters:
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if _item:
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_items.append(_item.to_dict())
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_dict['filters'] = _items
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of Label from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"id": obj.get("id"),
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"name": obj.get("name"),
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"color": obj.get("color"),
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"matchType": obj.get("matchType"),
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"filters": [Filter.from_dict(_item) for _item in obj["filters"]] if obj.get("filters") is not None else None
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})
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return _obj
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