prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <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__'
  ```
  
  </issue>
  <code>
  [start of mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py]
  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 of mindsdb/api/mysql/mysql_proxy/datahub/datanodes/integration_datanode.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
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
  --- 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')
  
verification_info: {"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"}]}