added example

queryHelperManager.py

@@ -77,7 +77,18 @@ class QueryHelper:
   def getSystemPromptForQueryGeneration(self, prospectTablesData, gptSampleRows):
     schemaName = self.schemaName
     platform = self.platform
-    prompt = f"""Given an input text, generate the corresponding SQL query for given details. Schema Name is {schemaName}. And sql platform is {platform}.\n following is sample data"""
+     = """
+    SELECT a.customer_id, COUNT(a.product_id) as chandelier_count
+FROM lpdatamart.tbl_f_sales a
+JOIN lpdatamart.tbl_d_product b ON a.product_id = b.product_id
+JOIN lpdatamart.tbl_d_calendar c ON a.date_id = c.date_id
+WHERE UPPER(b.product_name) LIKE '%CHANDELIER%' AND c.calendar_month = 'NOVEMBER' AND c.year = 2023
+GROUP BY a.customer_id
+ORDER BY chandelier_count DESC
+    """
+    question = "top 5 customers who bought most chandeliers in nov 2023"
+    prompt = f"""Given an input text, generate the corresponding SQL query for given details. Schema Name is {schemaName}. And sql platform is {platform}.\n following is sample data. Also 
+    There is example user input and desired generated sql query. Follow similar patterns as example. eg case insensitive, explicit variable declaration etc. user input : {question}, query : {exampleQuery} """
     for idx, tableName in enumerate(prospectTablesData.keys(), start=1):
         prompt += f"table name is {tableName}, table data is {prospectTablesData[tableName].head(gptSampleRows)}"
     prompt += "XXXX"