Source code for openapi_client.models.wlm_config_response

# coding: utf-8

"""
    Amorphic Data Platform

    Amorphic Data Platform - API Definition documentation

    The version of the OpenAPI document: 0.3.0
    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
from typing import Any, ClassVar, Dict, List, Optional
from openapi_client.models.wlm_queue_config import WLMQueueConfig
from typing import Optional, Set
from typing_extensions import Self

[docs] class WLMConfigResponse(BaseModel): """ WLMConfigResponse """ # noqa: E501 wlm_configuration: Optional[List[WLMQueueConfig]] = Field(default=None, alias="WLMConfiguration") __properties: ClassVar[List[str]] = ["WLMConfiguration"] model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), )
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.model_dump(by_alias=True))
[docs] 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 json.dumps(self.to_dict())
[docs] @classmethod def from_json(cls, json_str: str) -> Optional[Self]: """Create an instance of WLMConfigResponse from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] 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 each item in wlm_configuration (list) _items = [] if self.wlm_configuration: for _item_wlm_configuration in self.wlm_configuration: if _item_wlm_configuration: _items.append(_item_wlm_configuration.to_dict()) _dict['WLMConfiguration'] = _items return _dict
[docs] @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of WLMConfigResponse from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "WLMConfiguration": [WLMQueueConfig.from_dict(_item) for _item in obj["WLMConfiguration"]] if obj.get("WLMConfiguration") is not None else None }) return _obj