Update main.py

main.py

@@ -138,6 +138,7 @@ def receipt_radar_prompt(raw_text:str)->str:
       "description": "Provide the discount details (amount/percentage), minimum purchase, eligible products, retailer, any terms or restrictions, usage limit (single-use/multi-use), and where the coupon applies (in-store/online)."
       }
     """
+    #7. metadata : For coupon receipts extract these data points as a JSON object exactly""" + coupon_data_points + 
     system_prompt = f"""Extract information from the following receipt OCR text,Strictly first analyse if the text actually is actually related to a purchase , insurance receipt , travel receipt , hotel receipt or a text having some coupon codes , If it is not a purchase or contains a coupon code then just return null strictly  , and return a JSON object with these exact keys: brand, total_cost, location, purchase_category, brand_category, Date, currency, filename, payment_method, metadata.
     Rules:
     1. For total_cost, use the highest monetary value in the text.
@@ -146,9 +147,8 @@ def receipt_radar_prompt(raw_text:str)->str:
     4. Check if the text includes the purchaser's name, receipt or transaction ID, relevant dates, amount paid, service details (insurance, travel, or hotel), and issuer information to verify if it's a valid insurance, travel, or hotel receipt. If you find that its just a promotion email ,don't assum its a travel , insurance or hotel receipt.
     4. metadata: For insurance receipts extract the data points given in the JSON and return the JSON with structure: \n """ + insurance_response_structure + """
     5.metadata : For travel receipts(flight ,bus,train) extract these data points as a JSON object exactly""" + travel_response_structure + """
-    6. metadata : For hotel receipts extract these data points as a JSON object exactly""" + hotel_data_points + f"""
-    7. metadata : For coupon receipts extract these data points as a JSON object exactly""" + coupon_data_points + f"""
-    For non-insurance and non-travel , non-hotel , non-coupon receipts, return metadata as null.Also if you don't find a valid coupon code,then return metadata as null directly strictly follow this rule.
+    6. metadata : For hotel receipts extract these data points as a JSON object exactly""" + hotel_data_points +f"""
+    For non-insurance and non-travel , non-hotel , non-coupon receipts, return metadata as null.
     8. Use currency codes (e.g., USD, EUR) instead of symbols.
     9. Generate filename as 'PURCHASE_TYPE_BRAND_DATE' (e.g., 'clothing_gucci_20230715').
     10. If a value is not found, return null.