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110 lines
3.9 KiB
Python
110 lines
3.9 KiB
Python
# coding: utf-8
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"""
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Test Results API
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Get test result metrics for Cloud and Enterprise Agent tests.
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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, StrictInt, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional
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from typing import Optional, Set
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from typing_extensions import Self
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class PathTrace(BaseModel):
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"""
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PathTrace
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""" # noqa: E501
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ip_address: Optional[StrictStr] = Field(default=None, description="IP address of the hop", alias="ipAddress")
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mss: Optional[StrictInt] = Field(default=None, description="Maximum segment size in bytes")
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number_of_hops: Optional[StrictInt] = Field(default=None, description="Number of hops for path trace to destination", alias="numberOfHops")
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path_id: Optional[StrictStr] = Field(default=None, description="Unique ID of path trace", alias="pathId")
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path_mtu: Optional[StrictInt] = Field(default=None, description="MTU sizes on network from agents to the target", alias="pathMtu")
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response_time: Optional[StrictInt] = Field(default=None, description="RTT of the path trace to the destination in milliseconds", alias="responseTime")
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__properties: ClassVar[List[str]] = ["ipAddress", "mss", "numberOfHops", "pathId", "pathMtu", "responseTime"]
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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 PathTrace 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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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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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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"ip_address",
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"mss",
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"number_of_hops",
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"path_id",
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"path_mtu",
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"response_time",
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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 PathTrace 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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"ipAddress": obj.get("ipAddress"),
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"mss": obj.get("mss"),
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"numberOfHops": obj.get("numberOfHops"),
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"pathId": obj.get("pathId"),
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"pathMtu": obj.get("pathMtu"),
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"responseTime": obj.get("responseTime")
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})
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return _obj
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