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https://github.com/thousandeyes/thousandeyes-sdk-python.git
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95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
# coding: utf-8
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"""
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Test Snapshots API
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Creates a new test snapshot in ThousandEyes.
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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 datetime import datetime
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from pydantic import BaseModel, ConfigDict, Field, StrictBool, 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 SnapshotRequest(BaseModel):
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"""
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SnapshotRequest
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""" # noqa: E501
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display_name: StrictStr = Field(description="Snapshot title.", alias="displayName")
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start_date: datetime = Field(description="The start date for the snapshot in UTC time, formatted in ISO date-time.", alias="startDate")
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end_date: datetime = Field(description="The end date for the snapshot in UTC time, formatted in ISO date-time.", alias="endDate")
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is_public: Optional[StrictBool] = Field(default=None, description="Set to `true` for saved events and `false` for share links. Its default value is `false`.", alias="isPublic")
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__properties: ClassVar[List[str]] = ["displayName", "startDate", "endDate", "isPublic"]
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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 SnapshotRequest 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 SnapshotRequest 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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"displayName": obj.get("displayName"),
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"startDate": obj.get("startDate"),
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"endDate": obj.get("endDate"),
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"isPublic": obj.get("isPublic")
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})
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return _obj
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