We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
selecting from datasource error
Repoted by David F.
```
use Postgres_Sample;

SELECT * FROM data.insurance LIMIT 200;
```
error:
```
SQL Error [1149] [42000]: 'str' object has no attribute '__name__'
```

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py`
Content:
```
1 import pandas as pd
2 from mindsdb_sql.render.sqlalchemy_render import SqlalchemyRender
3 
4 from mindsdb.api.mysql.mysql_proxy.datahub.datanodes.datanode import DataNode
5 from mindsdb.utilities.log import log
6 
7 
8 class IntegrationDataNode(DataNode):
9     type = 'integration'
10 
11     def __init__(self, integration_name, data_store, ds_type):
12         self.integration_name = integration_name
13         self.data_store = data_store
14         self.ds_type = ds_type
15 
16     def get_type(self):
17         return self.type
18 
19     def get_tables(self):
20         return []
21 
22     def has_table(self, tableName):
23         return True
24 
25     def get_table_columns(self, tableName):
26         return []
27 
28     def select(self, query):
29         if self.ds_type in ('postgres', 'snowflake'):
30             dialect = 'postgres'
31         else:
32             dialect = 'mysql'
33         render = SqlalchemyRender(dialect)
34         try:
35             query_str = render.get_string(query, with_failback=False)
36         except Exception as e:
37             log.error(f"Exception during query casting to '{dialect}' dialect. Query: {query}. Error: {e}")
38             query_str = render.get_string(query, with_failback=True)
39 
40         dso, _creation_info = self.data_store.create_datasource(self.integration_name, {'query': query_str})
41         data = dso.df.to_dict(orient='records')
42         column_names = list(dso.df.columns)
43 
44         for column_name in column_names:
45             if pd.core.dtypes.common.is_datetime_or_timedelta_dtype(dso.df[column_name]):
46                 pass_data = dso.df[column_name].dt.to_pydatetime()
47                 for i, rec in enumerate(data):
48                     rec[column_name] = pass_data[i].timestamp()
49 
50         if len(column_names) == 0:
51             column_names = ['dataframe_is_empty']
52 
53         return data, column_names
54
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py b/mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py
--- a/mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py
+++ b/mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py
@@ -26,16 +26,19 @@
         return []
 
     def select(self, query):
-        if self.ds_type in ('postgres', 'snowflake'):
-            dialect = 'postgres'
+        if isinstance(query, str):
+            query_str = query
         else:
-            dialect = 'mysql'
-        render = SqlalchemyRender(dialect)
-        try:
-            query_str = render.get_string(query, with_failback=False)
-        except Exception as e:
-            log.error(f"Exception during query casting to '{dialect}' dialect. Query: {query}. Error: {e}")
-            query_str = render.get_string(query, with_failback=True)
+            if self.ds_type in ('postgres', 'snowflake'):
+                dialect = 'postgres'
+            else:
+                dialect = 'mysql'
+            render = SqlalchemyRender(dialect)
+            try:
+                query_str = render.get_string(query, with_failback=False)
+            except Exception as e:
+                log.error(f"Exception during query casting to '{dialect}' dialect. Query: {query}. Error: {e}")
+                query_str = render.get_string(query, with_failback=True)
 
         dso, _creation_info = self.data_store.create_datasource(self.integration_name, {'query': query_str})
         data = dso.df.to_dict(orient='records')

{"golden_diff": "diff --git a/mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py b/mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py\n--- a/mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py\n+++ b/mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py\n@@ -26,16 +26,19 @@\n         return []\n \n     def select(self, query):\n-        if self.ds_type in ('postgres', 'snowflake'):\n-            dialect = 'postgres'\n+        if isinstance(query, str):\n+            query_str = query\n         else:\n-            dialect = 'mysql'\n-        render = SqlalchemyRender(dialect)\n-        try:\n-            query_str = render.get_string(query, with_failback=False)\n-        except Exception as e:\n-            log.error(f\"Exception during query casting to '{dialect}' dialect. Query: {query}. Error: {e}\")\n-            query_str = render.get_string(query, with_failback=True)\n+            if self.ds_type in ('postgres', 'snowflake'):\n+                dialect = 'postgres'\n+            else:\n+                dialect = 'mysql'\n+            render = SqlalchemyRender(dialect)\n+            try:\n+                query_str = render.get_string(query, with_failback=False)\n+            except Exception as e:\n+                log.error(f\"Exception during query casting to '{dialect}' dialect. Query: {query}. Error: {e}\")\n+                query_str = render.get_string(query, with_failback=True)\n \n         dso, _creation_info = self.data_store.create_datasource(self.integration_name, {'query': query_str})\n         data = dso.df.to_dict(orient='records')\n", "issue": "selecting from datasource error\nRepoted by David F.\r\n```\r\nuse Postgres_Sample;\r\n\r\nSELECT * FROM data.insurance LIMIT 200;\r\n```\r\nerror:\r\n```\r\nSQL Error [1149] [42000]: 'str' object has no attribute '__name__'\r\n```\n", "before_files": [{"content": "import pandas as pd\nfrom mindsdb_sql.render.sqlalchemy_render import SqlalchemyRender\n\nfrom mindsdb.api.mysql.mysql_proxy.datahub.datanodes.datanode import DataNode\nfrom mindsdb.utilities.log import log\n\n\nclass IntegrationDataNode(DataNode):\n    type = 'integration'\n\n    def __init__(self, integration_name, data_store, ds_type):\n        self.integration_name = integration_name\n        self.data_store = data_store\n        self.ds_type = ds_type\n\n    def get_type(self):\n        return self.type\n\n    def get_tables(self):\n        return []\n\n    def has_table(self, tableName):\n        return True\n\n    def get_table_columns(self, tableName):\n        return []\n\n    def select(self, query):\n        if self.ds_type in ('postgres', 'snowflake'):\n            dialect = 'postgres'\n        else:\n            dialect = 'mysql'\n        render = SqlalchemyRender(dialect)\n        try:\n            query_str = render.get_string(query, with_failback=False)\n        except Exception as e:\n            log.error(f\"Exception during query casting to '{dialect}' dialect. Query: {query}. Error: {e}\")\n            query_str = render.get_string(query, with_failback=True)\n\n        dso, _creation_info = self.data_store.create_datasource(self.integration_name, {'query': query_str})\n        data = dso.df.to_dict(orient='records')\n        column_names = list(dso.df.columns)\n\n        for column_name in column_names:\n            if pd.core.dtypes.common.is_datetime_or_timedelta_dtype(dso.df[column_name]):\n                pass_data = dso.df[column_name].dt.to_pydatetime()\n                for i, rec in enumerate(data):\n                    rec[column_name] = pass_data[i].timestamp()\n\n        if len(column_names) == 0:\n            column_names = ['dataframe_is_empty']\n\n        return data, column_names\n", "path": "mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py"}], "after_files": [{"content": "import pandas as pd\nfrom mindsdb_sql.render.sqlalchemy_render import SqlalchemyRender\n\nfrom mindsdb.api.mysql.mysql_proxy.datahub.datanodes.datanode import DataNode\nfrom mindsdb.utilities.log import log\n\n\nclass IntegrationDataNode(DataNode):\n    type = 'integration'\n\n    def __init__(self, integration_name, data_store, ds_type):\n        self.integration_name = integration_name\n        self.data_store = data_store\n        self.ds_type = ds_type\n\n    def get_type(self):\n        return self.type\n\n    def get_tables(self):\n        return []\n\n    def has_table(self, tableName):\n        return True\n\n    def get_table_columns(self, tableName):\n        return []\n\n    def select(self, query):\n        if isinstance(query, str):\n            query_str = query\n        else:\n            if self.ds_type in ('postgres', 'snowflake'):\n                dialect = 'postgres'\n            else:\n                dialect = 'mysql'\n            render = SqlalchemyRender(dialect)\n            try:\n                query_str = render.get_string(query, with_failback=False)\n            except Exception as e:\n                log.error(f\"Exception during query casting to '{dialect}' dialect. Query: {query}. Error: {e}\")\n                query_str = render.get_string(query, with_failback=True)\n\n        dso, _creation_info = self.data_store.create_datasource(self.integration_name, {'query': query_str})\n        data = dso.df.to_dict(orient='records')\n        column_names = list(dso.df.columns)\n\n        for column_name in column_names:\n            if pd.core.dtypes.common.is_datetime_or_timedelta_dtype(dso.df[column_name]):\n                pass_data = dso.df[column_name].dt.to_pydatetime()\n                for i, rec in enumerate(data):\n                    rec[column_name] = pass_data[i].timestamp()\n\n        if len(column_names) == 0:\n            column_names = ['dataframe_is_empty']\n\n        return data, column_names\n", "path": "mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py"}]}