thousandeyes-sdk-python/thousandeyes-sdk-agents/src/thousandeyes_sdk/agents/models/error.py
Jack Browne 320f0ad6da chore: regenerate Python SDK from oas-ci pipeline
Regenerated using the new OpenAPI build toolchain (openapi-format).
No semantic API changes - differences are cosmetic (whitespace,
number formatting, property ordering) and intentional removals
(features hidden by prod overlays).

Made-with: Cursor
2026-03-31 20:50:35 +01:00

96 lines
3.3 KiB
Python

# coding: utf-8
"""
Agents API
## Overview Manage Cloud and Enterprise Agents available to your account in ThousandEyes.
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self
class Error(BaseModel):
"""
Error
""" # noqa: E501
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\".")
title: Optional[StrictStr] = Field(default=None, description="A short, human-readable summary of the problem type.")
status: Optional[StrictInt] = Field(default=None, description="The HTTP status code generated by the origin server for this occurrence of the problem.")
detail: Optional[StrictStr] = Field(default=None, description="A human-readable explanation specific to this occurrence of the problem.")
instance: Optional[StrictStr] = Field(default=None, description="A URI reference that identifies the specific occurrence of the problem.")
__properties: ClassVar[List[str]] = ["type", "title", "status", "detail", "instance"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of Error from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of Error from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"type": obj.get("type"),
"title": obj.get("title"),
"status": obj.get("status"),
"detail": obj.get("detail"),
"instance": obj.get("instance")
})
return _obj