# 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_details_datasource_config import DatasourceDetailsDatasourceConfig
from openapi_client.models.datasource_schedule_config import DatasourceScheduleConfig
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 DatasourceDetails(BaseModel):
"""
DatasourceDetails
""" # noqa: E501
datasource_id: Optional[StrictStr] = Field(default=None, alias="DatasourceId")
datasource_name: Optional[StrictStr] = Field(default=None, alias="DatasourceName")
datasource_type: Optional[StrictStr] = Field(default=None, alias="DatasourceType")
ingestion_type: Optional[StrictStr] = Field(default=None, alias="IngestionType")
description: Optional[StrictStr] = Field(default=None, alias="Description")
datasource_version: Optional[StrictStr] = Field(default=None, alias="DatasourceVersion")
keywords: Optional[List[StrictStr]] = Field(default=None, alias="Keywords")
cost_tags: Optional[List[FileAddDeleteFileLevelTagsInner]] = Field(default=None, alias="CostTags")
datasource_config: Optional[DatasourceDetailsDatasourceConfig] = Field(default=None, alias="DatasourceConfig")
schedule_config: Optional[DatasourceScheduleConfig] = Field(default=None, alias="ScheduleConfig")
created_by: Optional[StrictStr] = Field(default=None, alias="CreatedBy")
creation_time: Optional[StrictStr] = Field(default=None, alias="CreationTime")
last_modified_by: Optional[StrictStr] = Field(default=None, alias="LastModifiedBy")
last_modified_time: Optional[StrictStr] = Field(default=None, alias="LastModifiedTime")
access_type: Optional[StrictStr] = Field(default=None, alias="AccessType")
__properties: ClassVar[List[str]] = ["DatasourceId", "DatasourceName", "DatasourceType", "IngestionType", "Description", "DatasourceVersion", "Keywords", "CostTags", "DatasourceConfig", "ScheduleConfig", "CreatedBy", "CreationTime", "LastModifiedBy", "LastModifiedTime", "AccessType"]
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 DatasourceDetails 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 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
# override the default output from pydantic by calling `to_dict()` of datasource_config
if self.datasource_config:
_dict['DatasourceConfig'] = self.datasource_config.to_dict()
# override the default output from pydantic by calling `to_dict()` of schedule_config
if self.schedule_config:
_dict['ScheduleConfig'] = self.schedule_config.to_dict()
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of DatasourceDetails from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"DatasourceId": obj.get("DatasourceId"),
"DatasourceName": obj.get("DatasourceName"),
"DatasourceType": obj.get("DatasourceType"),
"IngestionType": obj.get("IngestionType"),
"Description": obj.get("Description"),
"DatasourceVersion": obj.get("DatasourceVersion"),
"Keywords": obj.get("Keywords"),
"CostTags": [FileAddDeleteFileLevelTagsInner.from_dict(_item) for _item in obj["CostTags"]] if obj.get("CostTags") is not None else None,
"DatasourceConfig": DatasourceDetailsDatasourceConfig.from_dict(obj["DatasourceConfig"]) if obj.get("DatasourceConfig") is not None else None,
"ScheduleConfig": DatasourceScheduleConfig.from_dict(obj["ScheduleConfig"]) if obj.get("ScheduleConfig") is not None else None,
"CreatedBy": obj.get("CreatedBy"),
"CreationTime": obj.get("CreationTime"),
"LastModifiedBy": obj.get("LastModifiedBy"),
"LastModifiedTime": obj.get("LastModifiedTime"),
"AccessType": obj.get("AccessType")
})
return _obj