adding some log statements to demographic table.

utils/db_utils.py

@@ -108,9 +108,9 @@ def query_demographics():
     entries = ts.find_entries(["manual/demographic_survey"])
     df = pd.json_normalize(list(entries))
     if not df.empty:
-        for col in constants.BINARY_DEMOGRAPHICS_COLS:
-            if col in df.columns:
-                df[col] = df[col].apply(str) 
+        for col in df.columns:
+            if df[col].dtype == 'object':
+                df[col] = df[col].apply(str)
         columns_to_drop = [col for col in df.columns if col.startswith("metadata")]
         df.drop(columns= columns_to_drop, inplace=True) 
         modified_columns = perm_utils.get_demographic_columns(df.columns)  
@@ -119,6 +119,9 @@ def query_demographics():
         for col in constants.EXCLUDED_DEMOGRAPHICS_COLS:
             if col in df.columns:
                 df.drop(columns= [col], inplace=True) 
+    logging.debug("After modifying, df columns are %s" % df.columns)
+    logging.debug("The data in column is %s" %df.head(5))
+    logging.debug("The data in column is %s" %df["Which_one_below_describe_you_b"])
     return df