# 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 openapi_client.models.datasource_get_details_datasource_config import DatasourceGetDetailsDatasourceConfig
from typing import Optional, Set
from typing_extensions import Self
[docs]
class DatasourceGetDetails(BaseModel):
"""
DatasourceGetDetails
""" # noqa: E501
datasource_type: Optional[StrictStr] = Field(default=None, alias="DatasourceType")
last_modified_by: Optional[StrictStr] = Field(default=None, alias="LastModifiedBy")
description: Optional[StrictStr] = Field(default=None, alias="Description")
last_modified_time: Optional[StrictStr] = Field(default=None, alias="LastModifiedTime")
datasource_id: Optional[StrictStr] = Field(default=None, alias="DatasourceId")
created_by: Optional[StrictStr] = Field(default=None, alias="CreatedBy")
datasource_version: Optional[StrictStr] = Field(default=None, alias="DatasourceVersion")
ingestion_type: Optional[StrictStr] = Field(default=None, alias="IngestionType")
creation_time: Optional[StrictStr] = Field(default=None, alias="CreationTime")
datasource_role_arn: Optional[StrictStr] = Field(default=None, alias="DatasourceRoleArn")
access_type: Optional[StrictStr] = Field(default=None, alias="AccessType")
datasource_name: Optional[StrictStr] = Field(default=None, alias="DatasourceName")
keywords: Optional[List[StrictStr]] = Field(default=None, alias="Keywords")
estimated_cost: Optional[StrictStr] = Field(default=None, alias="EstimatedCost")
datasource_config: Optional[DatasourceGetDetailsDatasourceConfig] = Field(default=None, alias="DatasourceConfig")
__properties: ClassVar[List[str]] = ["DatasourceType", "LastModifiedBy", "Description", "LastModifiedTime", "DatasourceId", "CreatedBy", "DatasourceVersion", "IngestionType", "CreationTime", "DatasourceRoleArn", "AccessType", "DatasourceName", "Keywords", "EstimatedCost", "DatasourceConfig"]
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 DatasourceGetDetails 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 datasource_config
if self.datasource_config:
_dict['DatasourceConfig'] = self.datasource_config.to_dict()
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of DatasourceGetDetails from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"DatasourceType": obj.get("DatasourceType"),
"LastModifiedBy": obj.get("LastModifiedBy"),
"Description": obj.get("Description"),
"LastModifiedTime": obj.get("LastModifiedTime"),
"DatasourceId": obj.get("DatasourceId"),
"CreatedBy": obj.get("CreatedBy"),
"DatasourceVersion": obj.get("DatasourceVersion"),
"IngestionType": obj.get("IngestionType"),
"CreationTime": obj.get("CreationTime"),
"DatasourceRoleArn": obj.get("DatasourceRoleArn"),
"AccessType": obj.get("AccessType"),
"DatasourceName": obj.get("DatasourceName"),
"Keywords": obj.get("Keywords"),
"EstimatedCost": obj.get("EstimatedCost"),
"DatasourceConfig": DatasourceGetDetailsDatasourceConfig.from_dict(obj["DatasourceConfig"]) if obj.get("DatasourceConfig") is not None else None
})
return _obj