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https://github.com/thousandeyes/thousandeyes-sdk-python.git
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111 lines
5.0 KiB
Python
111 lines
5.0 KiB
Python
# coding: utf-8
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"""
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Usage API
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These usage endpoints define the following operations: * **Usage**: Retrieve usage data for the specified time period (default is one month). * Users must have the `View Billing` permission to access this endpoint. * This endpoint offers visibility across all account groups within the organization. * Users with `View Billing` permission in multiple organizations should query the endpoint with the `aid` query string parameter (see optional parameters) for each organization. * **Quotas**: Obtain organization and account usage quotas. Additionally, users with the appropriate permissions can create, update, or delete these quotas. * Users must have the necessary permissions to perform quota-related actions. Refer to the Usage API endpoints for detailed usage instructions and optional parameters.
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The version of the OpenAPI document: 7.0.4
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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 thousandeyes_sdk.usage.models.validation_error_item import ValidationErrorItem
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from typing import Optional, Set
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from typing_extensions import Self
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class ValidationError(BaseModel):
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"""
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ValidationError
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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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errors: Optional[List[ValidationErrorItem]] = Field(default=None, description="(Optional) When multiple errors occur, the details for each error are listed.")
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__properties: ClassVar[List[str]] = ["type", "title", "status", "detail", "instance", "errors"]
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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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)
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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) -> Optional[Self]:
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"""Create an instance of ValidationError 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 errors (list)
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_items = []
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if self.errors:
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for _item in self.errors:
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if _item:
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_items.append(_item.to_dict())
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_dict['errors'] = _items
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# set to None if errors (nullable) is None
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# and model_fields_set contains the field
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if self.errors is None and "errors" in self.model_fields_set:
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_dict['errors'] = None
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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 ValidationError 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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"errors": [ValidationErrorItem.from_dict(_item) for _item in obj["errors"]] if obj.get("errors") is not None else None
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})
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return _obj
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