# 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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self
[docs]
class MLModelsRunStatusesModelrunsInner(BaseModel):
"""
MLModelsRunStatusesModelrunsInner
""" # noqa: E501
run_status: Optional[StrictStr] = Field(default=None, alias="RunStatus")
last_modified_time: Optional[StrictStr] = Field(default=None, alias="LastModifiedTime")
dataset_id: Optional[StrictStr] = Field(default=None, alias="DatasetId")
last_modified_by: Optional[StrictStr] = Field(default=None, alias="LastModifiedBy")
error_message: Optional[StrictStr] = Field(default=None, alias="ErrorMessage")
model_run_id: Optional[StrictStr] = Field(default=None, alias="ModelRunId")
model_id: Optional[StrictStr] = Field(default=None, alias="ModelId")
current_state: Optional[StrictStr] = Field(default=None, alias="CurrentState")
target_dataset_id: Optional[StrictStr] = Field(default=None, alias="TargetDatasetId")
file_name: Optional[StrictStr] = Field(default=None, alias="FileName")
__properties: ClassVar[List[str]] = ["RunStatus", "LastModifiedTime", "DatasetId", "LastModifiedBy", "ErrorMessage", "ModelRunId", "ModelId", "CurrentState", "TargetDatasetId", "FileName"]
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 MLModelsRunStatusesModelrunsInner 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,
)
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of MLModelsRunStatusesModelrunsInner from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"RunStatus": obj.get("RunStatus"),
"LastModifiedTime": obj.get("LastModifiedTime"),
"DatasetId": obj.get("DatasetId"),
"LastModifiedBy": obj.get("LastModifiedBy"),
"ErrorMessage": obj.get("ErrorMessage"),
"ModelRunId": obj.get("ModelRunId"),
"ModelId": obj.get("ModelId"),
"CurrentState": obj.get("CurrentState"),
"TargetDatasetId": obj.get("TargetDatasetId"),
"FileName": obj.get("FileName")
})
return _obj