Source code for openapi_client.models.datalab_details_additional_metadata
# 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, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from openapi_client.models.datalab_create_input_additional_metadata_studio_advanced_config import DatalabCreateInputAdditionalMetadataStudioAdvancedConfig
from openapi_client.models.file_add_delete_file_level_tags_inner import FileAddDeleteFileLevelTagsInner
from typing import Optional, Set
from typing_extensions import Self
[docs]
class DatalabDetailsAdditionalMetadata(BaseModel):
"""
DatalabDetailsAdditionalMetadata
""" # noqa: E501
keywords: Optional[List[StrictStr]] = Field(default=None, alias="Keywords")
active_time: Optional[StrictStr] = Field(default=None, alias="ActiveTime")
remaining_time: Optional[StrictStr] = Field(default=None, alias="RemainingTime")
notebook_type: Optional[StrictStr] = Field(default=None, alias="NotebookType")
lifecycle_configuration: Optional[StrictStr] = Field(default=None, alias="LifecycleConfiguration")
lifecycle_id: Optional[StrictStr] = Field(default=None, alias="LifecycleId")
domain_id: Optional[StrictStr] = Field(default=None, alias="DomainId")
r_studio_access_status: Optional[StrictStr] = Field(default=None, alias="RStudioAccessStatus")
sagemaker_image_arn: Optional[StrictStr] = Field(default=None, alias="SagemakerImageArn")
studio_advanced_config: Optional[DatalabCreateInputAdditionalMetadataStudioAdvancedConfig] = Field(default=None, alias="StudioAdvancedConfig")
auto_termination_time: Optional[StrictStr] = Field(default=None, alias="AutoTerminationTime")
cost_tags: Optional[List[FileAddDeleteFileLevelTagsInner]] = Field(default=None, alias="CostTags")
notebook_lab_url: Optional[StrictStr] = Field(default=None, alias="NotebookLabURL")
is_auto_terminate_enabled: Optional[StrictBool] = Field(default=None, alias="IsAutoTerminateEnabled")
user_profile_name: Optional[StrictStr] = Field(default=None, alias="UserProfileName")
user_profile_status: Optional[StrictStr] = Field(default=None, alias="UserProfileStatus")
__properties: ClassVar[List[str]] = ["Keywords", "ActiveTime", "RemainingTime", "NotebookType", "LifecycleConfiguration", "LifecycleId", "DomainId", "RStudioAccessStatus", "SagemakerImageArn", "StudioAdvancedConfig", "AutoTerminationTime", "CostTags", "NotebookLabURL", "IsAutoTerminateEnabled", "UserProfileName", "UserProfileStatus"]
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 DatalabDetailsAdditionalMetadata 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 studio_advanced_config
if self.studio_advanced_config:
_dict['StudioAdvancedConfig'] = self.studio_advanced_config.to_dict()
# override the default output from pydantic by calling `to_dict()` of each item in cost_tags (list)
_items = []
if self.cost_tags:
for _item_cost_tags in self.cost_tags:
if _item_cost_tags:
_items.append(_item_cost_tags.to_dict())
_dict['CostTags'] = _items
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of DatalabDetailsAdditionalMetadata from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"Keywords": obj.get("Keywords"),
"ActiveTime": obj.get("ActiveTime"),
"RemainingTime": obj.get("RemainingTime"),
"NotebookType": obj.get("NotebookType"),
"LifecycleConfiguration": obj.get("LifecycleConfiguration"),
"LifecycleId": obj.get("LifecycleId"),
"DomainId": obj.get("DomainId"),
"RStudioAccessStatus": obj.get("RStudioAccessStatus"),
"SagemakerImageArn": obj.get("SagemakerImageArn"),
"StudioAdvancedConfig": DatalabCreateInputAdditionalMetadataStudioAdvancedConfig.from_dict(obj["StudioAdvancedConfig"]) if obj.get("StudioAdvancedConfig") is not None else None,
"AutoTerminationTime": obj.get("AutoTerminationTime"),
"CostTags": [FileAddDeleteFileLevelTagsInner.from_dict(_item) for _item in obj["CostTags"]] if obj.get("CostTags") is not None else None,
"NotebookLabURL": obj.get("NotebookLabURL"),
"IsAutoTerminateEnabled": obj.get("IsAutoTerminateEnabled"),
"UserProfileName": obj.get("UserProfileName"),
"UserProfileStatus": obj.get("UserProfileStatus")
})
return _obj