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Co-authored-by: API Team <api-team@thousandeyes.com>
102 lines
3.9 KiB
Python
102 lines
3.9 KiB
Python
# coding: utf-8
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"""
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Emulation API
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**Note:** All Emulation APIs are not available for ThousandEyes for Government instance. The Emulation API facilitates the retrieval of user-agent strings for HTTP, pageload, and transaction tests. It also enables the retrieval and addition of emulated devices for pageload and transaction tests. To access Emulation API operations, the following permissions are required: * `Settings Tests Read` for read operations. * `Settings Tests Update` for write operations.
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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
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from typing import Any, ClassVar, Dict, List, Optional
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from thousandeyes_sdk.emulation.models.emulated_device_response import EmulatedDeviceResponse
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from thousandeyes_sdk.emulation.models.self_links import SelfLinks
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from typing import Optional, Set
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from typing_extensions import Self
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class EmulatedDeviceResponses(BaseModel):
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"""
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EmulatedDeviceResponses
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""" # noqa: E501
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emulated_devices: Optional[List[EmulatedDeviceResponse]] = Field(default=None, alias="emulatedDevices")
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links: Optional[SelfLinks] = Field(default=None, alias="_links")
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__properties: ClassVar[List[str]] = ["emulatedDevices", "_links"]
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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 EmulatedDeviceResponses 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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# override the default output from pydantic by calling `to_dict()` of each item in emulated_devices (list)
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_items = []
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if self.emulated_devices:
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for _item in self.emulated_devices:
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if _item:
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_items.append(_item.to_dict())
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_dict['emulatedDevices'] = _items
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# override the default output from pydantic by calling `to_dict()` of links
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if self.links:
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_dict['_links'] = self.links.to_dict()
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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 EmulatedDeviceResponses 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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"emulatedDevices": [EmulatedDeviceResponse.from_dict(_item) for _item in obj["emulatedDevices"]] if obj.get("emulatedDevices") is not None else None,
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"_links": SelfLinks.from_dict(obj["_links"]) if obj.get("_links") is not None else None
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})
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return _obj
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