Merge branch 'main' of https://github.com/dataease/SQLBot

README.md

@@ -33,7 +33,10 @@ curl -o docker-compose.yaml https://raw.githubusercontent.com/dataease/SQLBot/ma
 docker compose up -d
 ```
 
-你也可以通过 [1Panel 应用商店](https://apps.fit2cloud.com/1panel) 快速部署 SQLBot；
+你也可以通过 [1Panel 应用商店](https://apps.fit2cloud.com/1panel) 快速部署 SQLBot。
+
+如果是内网环境，你可以通过 [离线安装包方式](https://community.fit2cloud.com/#/products/sqlbot/downloads) 部署 SQLBot。
+
 
 ### 访问方式
 

backend/apps/datasource/api/datasource.py

@@ -10,6 +10,7 @@ import orjson
 import pandas as pd
 from fastapi import APIRouter, File, UploadFile, HTTPException
 
+from apps.db.db import get_schema
 from apps.db.engine import get_engine_conn
 from common.core.config import settings
 from common.core.deps import SessionDep, CurrentUser, Trans
@@ -20,7 +21,6 @@ from ..crud.datasource import get_datasource_list, check_status, create_ds, upda
 from ..crud.field import get_fields_by_table_id
 from ..crud.table import get_tables_by_ds_id
 from ..models.datasource import CoreDatasource, CreateDatasource, TableObj, CoreTable, CoreField
-from apps.db.db import get_schema
 
 router = APIRouter(tags=["datasource"], prefix="/datasource")
 path = settings.EXCEL_PATH
@@ -301,6 +301,11 @@ async def upload_excel(session: SessionDep, file: UploadFile = File(...)):
 
 
 def insert_pg(df, tableName, engine):
+    # fix field type
+    for i in range(len(df.dtypes)):
+        if str(df.dtypes[i]) == 'uint64':
+            df[str(df.columns[i])] = df[str(df.columns[i])].astype('string')
+
     conn = engine.raw_connection()
     cursor = conn.cursor()
     try:
@@ -322,7 +327,8 @@ def insert_pg(df, tableName, engine):
         )
         conn.commit()
     except Exception as e:
-        pass
+        traceback.print_exc()
+        raise HTTPException(400, str(e))
     finally:
         cursor.close()
         conn.close()

backend/apps/db/db.py

@@ -155,8 +155,19 @@ def check_connection(trans: Trans, ds: CoreDatasource, is_raise: bool = False):
                     return False
 
 
-def get_version(ds: CoreDatasource):
-    conf = DatasourceConf(**json.loads(aes_decrypt(ds.configuration))) if ds.type != "excel" else get_engine_config()
+def get_version(ds: CoreDatasource | AssistantOutDsSchema):
+    conf = None
+    if isinstance(ds, CoreDatasource):
+        conf = DatasourceConf(**json.loads(aes_decrypt(ds.configuration))) if ds.type != "excel" else get_engine_config()
+    if isinstance(ds, AssistantOutDsSchema):
+        conf = DatasourceConf()
+        conf.host = ds.host
+        conf.port = ds.port
+        conf.username = ds.user
+        conf.password = ds.password
+        conf.database = ds.dataBase
+        conf.dbSchema = ds.db_schema
+        conf.timeout = 10
     db = DB.get_db(ds.type)
     sql = get_version_sql(ds, conf)
     try:

backend/apps/system/models/system_model.py

@@ -14,8 +14,8 @@ class AiModelBase:
 
 class AiModelDetail(SnowflakeBase, AiModelBase, table=True):
    __tablename__ = "ai_model"
-   api_key: str | None = Field(max_length=255, nullable=True)
-   api_domain: str = Field(max_length=255, nullable=False)
+   api_key: str | None = Field(nullable=True)
+   api_domain: str = Field(nullable=False)
    protocol: int = Field(nullable=False, default = 1)
    config: str = Field(sa_type = Text())
    status: int = Field(nullable=False, default = 1)