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104 lines
4.0 KiB
Python
104 lines
4.0 KiB
Python
# coding: utf-8
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"""
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Agents API
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## Overview Manage all agents available to your account in ThousandEyes, including both Cloud and Enterprise Agents.
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The version of the OpenAPI document: 7.0.11
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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.agents.models.alert_integration_type import AlertIntegrationType
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from typing import Optional, Set
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from typing_extensions import Self
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class AlertIntegrationBase(BaseModel):
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"""
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AlertIntegrationBase
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""" # noqa: E501
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integration_id: Optional[StrictStr] = Field(default=None, description="Unique ID of the integration.", alias="integrationId")
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integration_name: Optional[StrictStr] = Field(default=None, description="Name of the integration.", alias="integrationName")
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integration_type: Optional[AlertIntegrationType] = Field(default=None, alias="integrationType")
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target: Optional[StrictStr] = Field(default=None, description="Target URL of the integration.")
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auth_method: Optional[StrictStr] = Field(default=None, description="(PagerDuty only) Authentication method.", alias="authMethod")
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auth_user: Optional[StrictStr] = Field(default=None, description="(PagerDuty only) Authentication user.", alias="authUser")
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auth_token: Optional[StrictStr] = Field(default=None, description="(PagerDuty only) Authentication token.", alias="authToken")
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channel: Optional[StrictStr] = Field(default=None, description="(Slack only) Slack `#channel` or `@user`.")
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__properties: ClassVar[List[str]] = ["integrationId", "integrationName", "integrationType", "target", "authMethod", "authUser", "authToken", "channel"]
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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 AlertIntegrationBase 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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"""
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excluded_fields: Set[str] = set([
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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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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 AlertIntegrationBase 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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"integrationId": obj.get("integrationId"),
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"integrationName": obj.get("integrationName"),
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"integrationType": obj.get("integrationType"),
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"target": obj.get("target"),
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"authMethod": obj.get("authMethod"),
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"authUser": obj.get("authUser"),
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"authToken": obj.get("authToken"),
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"channel": obj.get("channel")
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})
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return _obj
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