fix[output_format]: accept dataframe dict as output and secure sql qu…

pandasai/connectors/sql.py

@@ -441,7 +441,7 @@ def execute_direct_sql_query(self, sql_query):
         if not self._is_sql_query_safe(sql_query):
             raise MaliciousQueryError("Malicious query is generated in code")
 
-        return pd.read_sql(sql_query, self._connection)
+        return pd.read_sql(text(sql_query), self._connection)
 
     @property
     def cs_table_name(self):

pandasai/helpers/output_validator.py

@@ -56,7 +56,7 @@
         elif expected_type == "string":
             return isinstance(self, str)
         elif expected_type == "dataframe":
-            return isinstance(self, (pd.DataFrame, pd.Series))
+            return isinstance(self, (pd.DataFrame, pd.Series, dict))
         elif expected_type == "plot":
             if not isinstance(self, (str, dict)):
                 return False
@@ -82,7 +82,7 @@
         elif result["type"] == "string":
             return isinstance(result["value"], str)
         elif result["type"] == "dataframe":
-            return isinstance(result["value"], (pd.DataFrame, pd.Series))
+            return isinstance(result["value"], (pd.DataFrame, pd.Series, dict))
         elif result["type"] == "plot":
             if "plotly" in repr(type(result["value"])):
                 return True

pandasai/responses/response_parser.py

@@ -1,6 +1,7 @@
 from abc import ABC, abstractmethod
 from typing import Any
 
+import pandas as pd
 from PIL import Image
 
 from pandasai.exceptions import MethodNotImplementedError
@@ -51,9 +52,20 @@
 
         if result["type"] == "plot":
             return self.format_plot(result)
+        elif result["type"] == "dataframe":
+            return self.format_dataframe(result)
         else:
             return result["value"]
 
+    def format_dataframe(self, result: dict) -> Any:
+        if isinstance(result["value"], dict):
+            print("Df conversiont")
+            df = pd.Dataframe(result["value"])
+            print("Df conversiont Done")
+            result["value"] = df
+
+        return result["value"]
+
     def format_plot(self, result: dict) -> Any:
         """
         Display matplotlib plot against a user query.