Fix string parsing errors #29

Author: pramitchoudhary

sidekick/prompter.py

@@ -470,6 +470,8 @@ def query_api(
                         res, alt_res = sql_g.generate_sql(
                             table_names, question, model_name=model_name, _dialect=db_dialect
                         )
+                        res = res.replace("“", '"').replace("”", '"')
+                        [res := res.replace(s, '"') for s in "‘`’'" if s in res]
                         logger.info(f"Input query: {question}")
                         logger.info(f"Generated response:\n\n{res}")
 
@@ -495,7 +497,8 @@ def query_api(
 
                     # Before executing, check if known vulnerabilities exist in the generated SQL code.
                     _val = _val.replace("“", '"').replace("”", '"')
-                    [_val := _val.replace(s, "'") for s in "‘`" if s in _val]
+                    [_val := _val.replace(s, '"') for s in "‘`’'" if s in _val]
+
                     r, m = check_vulnerability(_val)
                     if not r:
                         q_res, err = db_obj.execute_query_db(query=_val)

sidekick/query.py

@@ -323,16 +323,19 @@ def generate_sql(
             else:
                 # TODO Update needed for multiple tables
                 columns_w_type = (
-                    self.context_builder.full_context_dict[table_name].split(":")[2].split("and")[0].strip()
+                    self.context_builder.full_context_dict[table_name]
+                    .split(":")[2]
+                    .split(" and foreign keys")[0]
+                    .strip()
                 )
 
                 data_samples_list = self.load_column_samples(table_names)
 
                 _context = {
                     "if patterns like 'current time' or 'now' occurs in question": "always use NOW() - INTERVAL",
                     "if patterns like 'total number', or 'List' occurs in question": "always use DISTINCT",
-                    "detailed summary": "include min, avg, max",
-                    "summary": "include min, avg, max",
+                    "detailed summary": "include min, avg, max for numeric columns",
+                    "summary": "include min, avg, max for numeric columns",
                 }
 
                 m_path = f"{self.path}/models/sentence_transformers/"
@@ -408,7 +411,7 @@ def generate_sql(
                         ]
                         data_samples_list = contextual_data_samples
 
-                relevant_columns = context_columns if len(context_columns) > 0 else clmn_names
+                relevant_columns = context_columns if len(context_columns) > 0 else [columns_w_type]
                 _column_info = ", ".join(relevant_columns)
 
                 logger.debug(f"Relevant sample column values: {data_samples_list}")