thousandeyes-sdk-python/thousandeyes-sdk-dashboards/src/thousandeyes_sdk/dashboards/models/api_graphlet_point.py
2024-06-25 13:07:19 +00:00

91 lines
2.7 KiB
Python

# coding: utf-8
"""
Dashboards API
Manage ThousandEyes Dashboards.
The version of the OpenAPI document: 7.0.8
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, StrictFloat, StrictInt
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self
class ApiGraphletPoint(BaseModel):
"""
A data point on a graphlet.
""" # noqa: E501
x: Optional[StrictInt] = Field(default=None, description="Timestamp of the data point.")
y: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Value of the data point.")
__properties: ClassVar[List[str]] = ["x", "y"]
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 ApiGraphletPoint 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 ApiGraphletPoint from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"x": obj.get("x"),
"y": obj.get("y")
})
return _obj