Source code for openapi_client.models.optimizer_list_response

# coding: utf-8

"""
    Amorphic Data Platform

    Amorphic Data Platform - API Definition documentation

    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 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.optimizer_response import OptimizerResponse
from typing import Optional, Set
from typing_extensions import Self

[docs] class OptimizerListResponse(BaseModel): """ Response containing all optimizers for a dataset """ # noqa: E501 compaction: Optional[OptimizerResponse] = Field(default=None, alias="Compaction") retention: Optional[OptimizerResponse] = Field(default=None, alias="Retention") orphan_file_deletion: Optional[OptimizerResponse] = Field(default=None, alias="OrphanFileDeletion") __properties: ClassVar[List[str]] = ["Compaction", "Retention", "OrphanFileDeletion"] 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 OptimizerListResponse 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 compaction if self.compaction: _dict['Compaction'] = self.compaction.to_dict() # override the default output from pydantic by calling `to_dict()` of retention if self.retention: _dict['Retention'] = self.retention.to_dict() # override the default output from pydantic by calling `to_dict()` of orphan_file_deletion if self.orphan_file_deletion: _dict['OrphanFileDeletion'] = self.orphan_file_deletion.to_dict() return _dict
[docs] @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of OptimizerListResponse from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "Compaction": OptimizerResponse.from_dict(obj["Compaction"]) if obj.get("Compaction") is not None else None, "Retention": OptimizerResponse.from_dict(obj["Retention"]) if obj.get("Retention") is not None else None, "OrphanFileDeletion": OptimizerResponse.from_dict(obj["OrphanFileDeletion"]) if obj.get("OrphanFileDeletion") is not None else None }) return _obj