updated prompt text

backend/app/api/endpoints.py

@@ -86,6 +86,7 @@ async def process_email_directory():
                     sub_request_type=email_result["sub_request_type"],
                     confidence_score=email_result["confidence_score"],
                     duplicate_flag=email_result["duplicate_flag"],
+                    all_extracted_numbers=email_result["extracted_numbers_list"]
                 )
                 results.append(email_resp)
         except Exception as e:

backend/app/services/gemeni_classification.py

@@ -100,16 +100,23 @@ def analyze_intent(text):
         print(f"Gemini API error (Intent): {e}")
         return ""
 
-def classify_email_gemeni(subject, body):
+def classify_email_gemeni(subject, body, considerationsrules: Optional[dict] = None):
     """Classifies an email based on request type and sub-request type."""
     results = []
     categories_string = str(classification_categories)
+
+    key_considerations = considerationsrules.get("priority_rules", {}).get("classification_key_considerations", [])
+    keys_str = ", ".join(key_considerations)
+
     PROMPT = f"""
     Analyze the following email and classify it into the most appropriate Request Type and Sub Request Type based on its primary intent.
 
     Classification Categories:
     {categories_string}
 
+    Key Considerations for Classification:
+    {keys_str} 
+
     Email Subject: {subject}
     Email Content: {body}
 

backend/app/services/retrieve_email_process.py

@@ -59,12 +59,12 @@ async def process_single_email(file_content: bytes, filename: str) -> Optional[d
             else:
                 classification_source = email_body_text  # default fallback
             
-            primary_result = classify_email_gemeni(email_data["subject"], classification_source)
+            primary_result = classify_email_gemeni(email_data["subject"], classification_source, rules)
 
             # special condition to check if priority is email content and email has multi thread then we 
             # have to compare confidence score with primary confidence score 
             if "email_content" in identification_order:
-                email_chain_result = classify_email_gemeni(email_data["subject"], email_chain_text) if email_chain_text else ("Unknown", "Unknown", "0")
+                email_chain_result = classify_email_gemeni(email_data["subject"], email_chain_text, rules) if email_chain_text else ("Unknown", "Unknown", "0")
                 email_chain_confidence = float(email_chain_result[2])
                 primary_email_confidence = float(primary_result[2])
                 if email_chain_confidence > primary_email_confidence and email_chain_confidence:
@@ -72,9 +72,9 @@ async def process_single_email(file_content: bytes, filename: str) -> Optional[d
 
         else:
             # 1. Separate Classification:
-            document_result = classify_email_gemeni(email_data["subject"], attachment_text) if attachment_text else ("Unknown", "Unknown", "0")
-            email_chain_result = classify_email_gemeni(email_data["subject"], email_chain_text) if email_chain_text else ("Unknown", "Unknown", "0")
-            primary_email_result = classify_email_gemeni(email_data["subject"], email_body_text)
+            document_result = classify_email_gemeni(email_data["subject"], attachment_text, rules) if attachment_text else ("Unknown", "Unknown", "0")
+            email_chain_result = classify_email_gemeni(email_data["subject"], email_chain_text, rules) if email_chain_text else ("Unknown", "Unknown", "0")
+            primary_email_result = classify_email_gemeni(email_data["subject"], email_body_text, rules)
 
             # 2. Confidence Score Comparison:
             document_confidence = float(document_result[2])

backend/main.py

@@ -13,7 +13,7 @@ origins = [
 #router = APIRouter()
 app.add_middleware(
     CORSMiddleware,
-    allow_origins=origins,  # Replace "*" with your frontend domain in production
+    allow_origins=["*"],  # Replace "*" with your frontend domain in production
     allow_credentials=True,
     allow_methods=["*"],
     allow_headers=["*"],