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Co-authored-by: API Team <api-team@thousandeyes.com>
158 lines
6.5 KiB
Python
158 lines
6.5 KiB
Python
# coding: utf-8
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"""
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Agents API
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## Overview Manage Cloud and Enterprise Agents available to your account in ThousandEyes.
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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 json
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import pprint
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from pydantic import BaseModel, ConfigDict, Field, StrictStr, ValidationError, field_validator
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from typing import Any, List, Optional
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from thousandeyes_sdk.agents.models.cloud_agent_detail import CloudAgentDetail
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from thousandeyes_sdk.agents.models.enterprise_agent_cluster_detail import EnterpriseAgentClusterDetail
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from thousandeyes_sdk.agents.models.enterprise_agent_detail import EnterpriseAgentDetail
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from pydantic import StrictStr, Field, model_serializer
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from typing import Union, List, Set, Optional, Dict
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from typing_extensions import Literal, Self
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AGENTDETAILS_ONE_OF_SCHEMAS = ["CloudAgentDetail", "EnterpriseAgentClusterDetail", "EnterpriseAgentDetail"]
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class AgentDetails(BaseModel):
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"""
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AgentDetails
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"""
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# data type: CloudAgentDetail
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oneof_schema_1_validator: Optional[CloudAgentDetail] = None
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# data type: EnterpriseAgentDetail
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oneof_schema_2_validator: Optional[EnterpriseAgentDetail] = None
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# data type: EnterpriseAgentClusterDetail
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oneof_schema_3_validator: Optional[EnterpriseAgentClusterDetail] = None
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actual_instance: Optional[Union[CloudAgentDetail, EnterpriseAgentClusterDetail, EnterpriseAgentDetail]] = None
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one_of_schemas: Set[str] = { "CloudAgentDetail", "EnterpriseAgentClusterDetail", "EnterpriseAgentDetail" }
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model_config = ConfigDict(
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validate_assignment=True,
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protected_namespaces=(),
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)
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discriminator_value_class_map: Dict[str, str] = {
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}
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def __init__(self, *args, **kwargs) -> None:
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if args:
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if len(args) > 1:
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raise ValueError("If a position argument is used, only 1 is allowed to set `actual_instance`")
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if kwargs:
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raise ValueError("If a position argument is used, keyword arguments cannot be used.")
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super().__init__(actual_instance=args[0])
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else:
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super().__init__(**kwargs)
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@field_validator('actual_instance')
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def actual_instance_must_validate_oneof(cls, v):
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instance = AgentDetails.model_construct()
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error_messages = []
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match = 0
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# validate data type: CloudAgentDetail
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if not isinstance(v, CloudAgentDetail):
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error_messages.append(f"Error! Input type `{type(v)}` is not `CloudAgentDetail`")
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else:
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match += 1
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# validate data type: EnterpriseAgentDetail
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if not isinstance(v, EnterpriseAgentDetail):
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error_messages.append(f"Error! Input type `{type(v)}` is not `EnterpriseAgentDetail`")
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else:
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match += 1
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# validate data type: EnterpriseAgentClusterDetail
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if not isinstance(v, EnterpriseAgentClusterDetail):
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error_messages.append(f"Error! Input type `{type(v)}` is not `EnterpriseAgentClusterDetail`")
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else:
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match += 1
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if match > 1:
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# more than 1 match
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raise ValueError("Multiple matches found when setting `actual_instance` in AgentDetails with oneOf schemas: CloudAgentDetail, EnterpriseAgentClusterDetail, EnterpriseAgentDetail. Details: " + ", ".join(error_messages))
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elif match == 0:
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# no match
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raise ValueError("No match found when setting `actual_instance` in AgentDetails with oneOf schemas: CloudAgentDetail, EnterpriseAgentClusterDetail, EnterpriseAgentDetail. Details: " + ", ".join(error_messages))
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else:
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return v
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@classmethod
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def from_dict(cls, obj: Union[str, Dict[str, Any]]) -> Self:
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return cls.from_json(json.dumps(obj))
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@classmethod
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def from_json(cls, json_str: str) -> Self:
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"""Returns the object represented by the json string"""
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instance = cls.model_construct()
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error_messages = []
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match = 0
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# deserialize data into CloudAgentDetail
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try:
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instance.actual_instance = CloudAgentDetail.from_json(json_str)
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match += 1
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except (ValidationError, ValueError) as e:
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error_messages.append(str(e))
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# deserialize data into EnterpriseAgentDetail
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try:
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instance.actual_instance = EnterpriseAgentDetail.from_json(json_str)
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match += 1
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except (ValidationError, ValueError) as e:
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error_messages.append(str(e))
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# deserialize data into EnterpriseAgentClusterDetail
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try:
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instance.actual_instance = EnterpriseAgentClusterDetail.from_json(json_str)
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match += 1
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except (ValidationError, ValueError) as e:
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error_messages.append(str(e))
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if match > 1:
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# more than 1 match
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raise ValueError("Multiple matches found when deserializing the JSON string into AgentDetails with oneOf schemas: CloudAgentDetail, EnterpriseAgentClusterDetail, EnterpriseAgentDetail. Details: " + ", ".join(error_messages))
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elif match == 0:
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# no match
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raise ValueError("No match found when deserializing the JSON string into AgentDetails with oneOf schemas: CloudAgentDetail, EnterpriseAgentClusterDetail, EnterpriseAgentDetail. Details: " + ", ".join(error_messages))
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else:
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return instance
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@model_serializer(when_used="json")
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def serialize_model(self):
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return json.loads(self.to_json())
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def to_json(self) -> str:
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"""Returns the JSON representation of the actual instance"""
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if self.actual_instance is None:
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return "null"
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if hasattr(self.actual_instance, "to_json") and callable(self.actual_instance.to_json):
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return self.actual_instance.to_json()
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else:
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return json.dumps(self.actual_instance)
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def to_dict(self) -> Optional[Union[Dict[str, Any], CloudAgentDetail, EnterpriseAgentClusterDetail, EnterpriseAgentDetail]]:
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"""Returns the dict representation of the actual instance"""
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if self.actual_instance is None:
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return None
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if hasattr(self.actual_instance, "to_dict") and callable(self.actual_instance.to_dict):
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return self.actual_instance.to_dict()
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else:
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# primitive type
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return self.actual_instance
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def to_str(self) -> str:
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"""Returns the string representation of the actual instance"""
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return pprint.pformat(self.model_dump())
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