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# coding: utf-8
"""
STACKIT Telemetry Router API
This API provides endpoints for managing Telemetry Routers.
The version of the OpenAPI document: 1.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
import pprint
from typing import Any, ClassVar, Dict, List, Optional, Set
from pydantic import BaseModel, ConfigDict, Field
from pydantic_core import to_jsonable_python
from typing_extensions import Self
from stackit.telemetryrouter.models.config_filter import ConfigFilter
from stackit.telemetryrouter.models.destination_config_open_telemetry import (
DestinationConfigOpenTelemetry,
)
from stackit.telemetryrouter.models.destination_config_s3 import DestinationConfigS3
from stackit.telemetryrouter.models.destination_config_type import DestinationConfigType
class DestinationConfig(BaseModel):
"""
DestinationConfig
""" # noqa: E501
config_type: DestinationConfigType = Field(alias="configType")
filter: Optional[ConfigFilter] = None
open_telemetry: Optional[DestinationConfigOpenTelemetry] = Field(default=None, alias="openTelemetry")
s3: Optional[DestinationConfigS3] = None
__properties: ClassVar[List[str]] = ["configType", "filter", "openTelemetry", "s3"]
model_config = ConfigDict(
validate_by_name=True,
validate_by_alias=True,
validate_assignment=True,
protected_namespaces=(),
)
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"""
return json.dumps(to_jsonable_python(self.to_dict()))
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of DestinationConfig 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,
)
# override the default output from pydantic by calling `to_dict()` of filter
if self.filter:
_dict["filter"] = self.filter.to_dict()
# override the default output from pydantic by calling `to_dict()` of open_telemetry
if self.open_telemetry:
_dict["openTelemetry"] = self.open_telemetry.to_dict()
# override the default output from pydantic by calling `to_dict()` of s3
if self.s3:
_dict["s3"] = self.s3.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of DestinationConfig from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"configType": obj.get("configType"),
"filter": ConfigFilter.from_dict(obj["filter"]) if obj.get("filter") is not None else None,
"openTelemetry": (
DestinationConfigOpenTelemetry.from_dict(obj["openTelemetry"])
if obj.get("openTelemetry") is not None
else None
),
"s3": DestinationConfigS3.from_dict(obj["s3"]) if obj.get("s3") is not None else None,
}
)
return _obj