# 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, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from openapi_client.models.datalab_sessions_response_sessions_inner_command import DatalabSessionsResponseSessionsInnerCommand
from typing import Optional, Set
from typing_extensions import Self
[docs]
class DatalabSessionsResponseSessionsInner(BaseModel):
"""
DatalabSessionsResponseSessionsInner
""" # noqa: E501
id: Optional[StrictStr] = Field(default=None, alias="Id")
created_on: Optional[StrictStr] = Field(default=None, alias="CreatedOn")
status: Optional[StrictStr] = Field(default=None, alias="Status")
role: Optional[StrictStr] = Field(default=None, alias="Role")
command: Optional[DatalabSessionsResponseSessionsInnerCommand] = Field(default=None, alias="Command")
progress: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, alias="Progress")
glue_version: Optional[StrictStr] = Field(default=None, alias="GlueVersion")
worker_type: Optional[StrictStr] = Field(default=None, alias="WorkerType")
number_of_workers: Optional[StrictInt] = Field(default=None, alias="NumberOfWorkers")
completed_on: Optional[StrictStr] = Field(default=None, alias="CompletedOn")
execution_time: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, alias="ExecutionTime")
dpu_seconds: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, alias="DPUSeconds")
__properties: ClassVar[List[str]] = ["Id", "CreatedOn", "Status", "Role", "Command", "Progress", "GlueVersion", "WorkerType", "NumberOfWorkers", "CompletedOn", "ExecutionTime", "DPUSeconds"]
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 DatalabSessionsResponseSessionsInner 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 command
if self.command:
_dict['Command'] = self.command.to_dict()
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of DatalabSessionsResponseSessionsInner from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"Id": obj.get("Id"),
"CreatedOn": obj.get("CreatedOn"),
"Status": obj.get("Status"),
"Role": obj.get("Role"),
"Command": DatalabSessionsResponseSessionsInnerCommand.from_dict(obj["Command"]) if obj.get("Command") is not None else None,
"Progress": obj.get("Progress"),
"GlueVersion": obj.get("GlueVersion"),
"WorkerType": obj.get("WorkerType"),
"NumberOfWorkers": obj.get("NumberOfWorkers"),
"CompletedOn": obj.get("CompletedOn"),
"ExecutionTime": obj.get("ExecutionTime"),
"DPUSeconds": obj.get("DPUSeconds")
})
return _obj