115 lines
3.7 KiB
Python
115 lines
3.7 KiB
Python
# coding: utf-8
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"""
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MTR testing API
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API for managing MTR tests and additional nodes. It is part of spirent-service.
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The version of the OpenAPI document: 1.0.0
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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, StrictFloat, StrictInt, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional, Union
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try:
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from typing import Self
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except ImportError:
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from typing_extensions import Self
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class TestResult(BaseModel):
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"""
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TestResult
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""" # noqa: E501
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#from_tas: StrictStr
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to_server: StrictStr
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test_parameters_id: Optional[StrictInt] = None
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to_server_hostname: Optional[StrictStr] = None
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ttl: Optional[StrictInt] = None
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host: Optional[List[StrictStr]] = None
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loos: Optional[StrictInt] = None
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sent: Optional[StrictInt] = None
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average_time: Optional[Union[StrictFloat, StrictInt]] = None
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best_time: Optional[Union[StrictFloat, StrictInt]] = None
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worst_time: Optional[Union[StrictFloat, StrictInt]] = None
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standard_deviation: Optional[Union[StrictFloat, StrictInt]] = None
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worst_jitter: Optional[Union[StrictFloat, StrictInt]] = None
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__properties: ClassVar[List[str]] = ["from_tas", "to_server", "test_parameters_id", "to_server_hostname", "ttl", "host", "loos", "sent", "average_time", "best_time", "worst_time", "standard_deviation", "worst_jitter"]
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model_config = {
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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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}
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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 json.dumps(self.to_dict())
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@classmethod
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def from_json(cls, json_str: str) -> Self:
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"""Create an instance of TestResult 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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_dict = self.model_dump(
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by_alias=True,
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exclude={
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},
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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: Dict) -> Self:
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"""Create an instance of TestResult 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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"from_tas": obj.get("from_tas"),
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"to_server": obj.get("to_server"),
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"test_parameters_id": obj.get("test_parameters_id"),
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"to_server_hostname": obj.get("to_server_hostname"),
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"ttl": obj.get("ttl"),
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"host": obj.get("host"),
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"loos": obj.get("loos"),
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"sent": obj.get("sent"),
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"average_time": obj.get("average_time"),
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"best_time": obj.get("best_time"),
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"worst_time": obj.get("worst_time"),
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"standard_deviation": obj.get("standard_deviation"),
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"worst_jitter": obj.get("worst_jitter")
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})
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return _obj
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