Files
DB-GPT/dbgpt/client/datasource.py
2024-03-28 09:04:28 +08:00

120 lines
3.6 KiB
Python

"""this module contains the datasource client functions."""
from typing import List
from dbgpt.core.schema.api import Result
from .client import Client, ClientException
from .schema import DatasourceModel
async def create_datasource(
client: Client, datasource: DatasourceModel
) -> DatasourceModel:
"""Create a new datasource.
Args:
client (Client): The dbgpt client.
datasource (DatasourceModel): The datasource model.
"""
try:
res = await client.get("/datasources", datasource.dict())
result: Result = res.json()
if result["success"]:
return DatasourceModel(**result["data"])
else:
raise ClientException(status=result["err_code"], reason=result)
except Exception as e:
raise ClientException(f"Failed to create datasource: {e}")
async def update_datasource(
client: Client, datasource: DatasourceModel
) -> DatasourceModel:
"""Update a datasource.
Args:
client (Client): The dbgpt client.
datasource (DatasourceModel): The datasource model.
Returns:
DatasourceModel: The datasource model.
Raises:
ClientException: If the request failed.
"""
try:
res = await client.put("/datasources", datasource.dict())
result: Result = res.json()
if result["success"]:
return DatasourceModel(**result["data"])
else:
raise ClientException(status=result["err_code"], reason=result)
except Exception as e:
raise ClientException(f"Failed to update datasource: {e}")
async def delete_datasource(client: Client, datasource_id: str) -> DatasourceModel:
"""
Delete a datasource.
Args:
client (Client): The dbgpt client.
datasource_id (str): The datasource id.
Returns:
DatasourceModel: The datasource model.
Raises:
ClientException: If the request failed.
"""
try:
res = await client.delete("/datasources/" + datasource_id)
result: Result = res.json()
if result["success"]:
return DatasourceModel(**result["data"])
else:
raise ClientException(status=result["err_code"], reason=result)
except Exception as e:
raise ClientException(f"Failed to delete datasource: {e}")
async def get_datasource(client: Client, datasource_id: str) -> DatasourceModel:
"""
Get a datasource.
Args:
client (Client): The dbgpt client.
datasource_id (str): The datasource id.
Returns:
DatasourceModel: The datasource model.
Raises:
ClientException: If the request failed.
"""
try:
res = await client.get("/datasources/" + datasource_id)
result: Result = res.json()
if result["success"]:
return DatasourceModel(**result["data"])
else:
raise ClientException(status=result["err_code"], reason=result)
except Exception as e:
raise ClientException(f"Failed to get datasource: {e}")
async def list_datasource(client: Client) -> List[DatasourceModel]:
"""
List datasources.
Args:
client (Client): The dbgpt client.
Returns:
List[DatasourceModel]: The list of datasource models.
Raises:
ClientException: If the request failed.
"""
try:
res = await client.get("/datasources")
result: Result = res.json()
if result["success"]:
return [DatasourceModel(**datasource) for datasource in result["data"]]
else:
raise ClientException(status=result["err_code"], reason=result)
except Exception as e:
raise ClientException(f"Failed to list datasource: {e}")