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Co-authored-by: API Team <api-team@thousandeyes.com>
96 lines
3.5 KiB
Python
96 lines
3.5 KiB
Python
# coding: utf-8
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"""
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Tests API
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**Note:** The Page Load Tests, API Tests, and Web Transaction Tests APIs are not available for ThousandEyes for Government instance. This API allows you to list, create, edit, and delete Network and Application Synthetics 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 Error(BaseModel):
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"""
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Error
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""" # noqa: E501
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type: Optional[StrictStr] = Field(default=None, description="A URI reference that identifies the problem type. When this member is not present, its value is assumed to be \"about:blank\".")
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title: Optional[StrictStr] = Field(default=None, description="A short, human-readable summary of the problem type.")
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status: Optional[StrictInt] = Field(default=None, description="The HTTP status code generated by the origin server for this occurrence of the problem.")
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detail: Optional[StrictStr] = Field(default=None, description="A human-readable explanation specific to this occurrence of the problem.")
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instance: Optional[StrictStr] = Field(default=None, description="A URI reference that identifies the specific occurrence of the problem.")
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__properties: ClassVar[List[str]] = ["type", "title", "status", "detail", "instance"]
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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 Error 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 Error 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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"type": obj.get("type"),
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"title": obj.get("title"),
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"status": obj.get("status"),
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"detail": obj.get("detail"),
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"instance": obj.get("instance")
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})
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return _obj
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