# 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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self
[docs]
class DatasourceFlowsUpdateDatasetDetailsInner(BaseModel):
"""
DatasourceFlowsUpdateDatasetDetailsInner
""" # noqa: E501
schema_name: Optional[StrictStr] = Field(default=None, alias="SchemaName")
size: Optional[StrictInt] = Field(default=None, alias="Size")
table_name: Optional[StrictStr] = Field(default=None, alias="TableName")
dataset_name: Optional[StrictStr] = Field(default=None, alias="DatasetName")
description: Optional[StrictStr] = Field(default=None, alias="Description")
domain: Optional[StrictStr] = Field(default=None, alias="Domain")
keywords: Optional[StrictStr] = Field(default=None, alias="Keywords")
dataset_id: Optional[StrictStr] = Field(default=None, alias="DatasetId")
target_dataset_id: Optional[StrictStr] = Field(default=None, alias="TargetDatasetId")
__properties: ClassVar[List[str]] = ["SchemaName", "Size", "TableName", "DatasetName", "Description", "Domain", "Keywords", "DatasetId", "TargetDatasetId"]
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 DatasourceFlowsUpdateDatasetDetailsInner 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 DatasourceFlowsUpdateDatasetDetailsInner from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"SchemaName": obj.get("SchemaName"),
"Size": obj.get("Size"),
"TableName": obj.get("TableName"),
"DatasetName": obj.get("DatasetName"),
"Description": obj.get("Description"),
"Domain": obj.get("Domain"),
"Keywords": obj.get("Keywords"),
"DatasetId": obj.get("DatasetId"),
"TargetDatasetId": obj.get("TargetDatasetId")
})
return _obj