Fix the prompts

main.py

@@ -68,9 +68,9 @@ class HealthcareChatbot:
         self.endpoints_documentation = endpoints_documentation
         self.ollama_base_url = "http://localhost:11434"
         self.model_name = "gemma3"
-        self.BASE_URL = 'https://2ab0-197-54-60-164.ngrok-free.app'
+        self.BASE_URL = 'https://0bb3-197-54-60-164.ngrok-free.app'
         self.headers = {'Content-type': 'application/json'}
-        self.user_id = '98d485d1-2691-4aee-ad60-977825c1f794'
+        self.user_id = '8881d156-8bc4-4090-a79d-35f8c03db7a2'
         self.max_retries = 3
         self.retry_delay = 2
         
@@ -155,56 +155,102 @@ class HealthcareChatbot:
         self.json_parser = JsonOutputParser(pydantic_object=RouterResponse)
 
         # UNIFIED ROUTER CHAIN - Handles both intent classification AND API routing
+        # self.router_prompt_template = PromptTemplate(
+        #     template="""
+        #     You are a routing system. Analyze user intent and handle dates precisely.
+
+        #     CONTEXT:
+        #     Query: "{user_query}"
+        #     Language: {detected_language}
+        #     Current: {current_datetime} ({current_day_name})
+        #     Timezone: {timezone}
+
+        #     ENDPOINTS:
+        #     {endpoints_documentation}
+
+        #     ANALYSIS STEPS:
+        #     1. **Intent**: What does the user want? (translate Arabic to English first)
+        #     2. **Date/Time**: Calculate precisely using current datetime as base
+        #     3. **Match**: Find endpoint that can fulfill the request
+        #     4. **Decision**: Matching endpoint = API_ACTION, else CONVERSATION
+
+        #     DATE CALCULATIONS (use {current_datetime} as base):
+        #     • Today/اليوم = current date
+        #     • Tomorrow/غدا = +1 day
+        #     • Next week/الأسبوع القادم = +7 days
+        #     • Next [weekday]/يوم [weekday] القادم: Calculate days to target weekday
+        #     - Weekdays: الأحد=0, الاثنين=1, الثلاثاء=2, الأربعاء=3, الخميس=4, الجمعة=5, السبت=6
+        #     - Formula: If target > current: target-current, else: 7-(current-target)
+        #     • Times: صباحًا=09:00, مساءً=18:00, ظهرًا=12:00
+        #     • Format: YYYY-MM-DDTHH:MM:SS
+
+        #     OUTPUT FORMAT:
+        #     {{
+        #         "intent": "CONVERSATION|API_ACTION",
+        #         "confidence": 0.8,
+        #         "reasoning": "User wants: [need]. Date calc: [show work]. Endpoint: [path/reason]",
+        #         "endpoint": "/exact/path" or null,
+        #         "method": "GET|POST|PUT|DELETE" or null,
+        #         "params": {{
+        #             // ALL VALUES IN ENGLISH - translate Arabic names/terms
+        #         }},
+        #         "missing_required": [],
+        #         "calculated_datetime": "YYYY-MM-DDTHH:MM:SS" or null
+        #     }}
+
+        #     CRITICAL RULES:
+        #     • Use {current_datetime} for ALL date calculations
+        #     • Show calculation work in reasoning
+        #     • Translate ALL Arabic parameters to English
+        #     • Match endpoints by functionality, not keywords
+
+        #     Analyze and respond with JSON:""",
+        #     input_variables=["user_query", "detected_language", "extracted_keywords", 
+        #                     "sentiment_analysis", "endpoints_documentation", "current_datetime", 
+        #                     "timezone", "current_day_name"]
+        # )
         self.router_prompt_template = PromptTemplate(
             template="""
-            You are a routing system. Analyze user intent and handle dates precisely.
-
-            CONTEXT:
-            Query: "{user_query}"
-            Language: {detected_language}
-            Current: {current_datetime} ({current_day_name})
-            Timezone: {timezone}
-
-            ENDPOINTS:
-            {endpoints_documentation}
-
-            ANALYSIS STEPS:
-            1. **Intent**: What does the user want? (translate Arabic to English first)
-            2. **Date/Time**: Calculate precisely using current datetime as base
-            3. **Match**: Find endpoint that can fulfill the request
-            4. **Decision**: Matching endpoint = API_ACTION, else CONVERSATION
-
-            DATE CALCULATIONS (use {current_datetime} as base):
-            • Today/اليوم = current date
-            • Tomorrow/غدا = +1 day
-            • Next week/الأسبوع القادم = +7 days
-            • Next [weekday]/يوم [weekday] القادم: Calculate days to target weekday
-            - Weekdays: الأحد=0, الاثنين=1, الثلاثاء=2, الأربعاء=3, الخميس=4, الجمعة=5, السبت=6
-            - Formula: If target > current: target-current, else: 7-(current-target)
-            • Times: صباحًا=09:00, مساءً=18:00, ظهرًا=12:00
-            • Format: YYYY-MM-DDTHH:MM:SS
-
-            OUTPUT FORMAT:
-            {{
-                "intent": "CONVERSATION|API_ACTION",
-                "confidence": 0.8,
-                "reasoning": "User wants: [need]. Date calc: [show work]. Endpoint: [path/reason]",
-                "endpoint": "/exact/path" or null,
-                "method": "GET|POST|PUT|DELETE" or null,
-                "params": {{
-                    // ALL VALUES IN ENGLISH - translate Arabic names/terms
-                }},
-                "missing_required": [],
-                "calculated_datetime": "YYYY-MM-DDTHH:MM:SS" or null
-            }}
-
-            CRITICAL RULES:
-            • Use {current_datetime} for ALL date calculations
-            • Show calculation work in reasoning
-            • Translate ALL Arabic parameters to English
-            • Match endpoints by functionality, not keywords
-
-            Analyze and respond with JSON:""",
+        You are a medical appointment router. Determine if user needs API call or conversation.
+
+        CONTEXT: Query: "{user_query}" | Language: {detected_language} | Current: {current_datetime}
+
+        ENDPOINTS: {endpoints_documentation}
+
+        DECISION RULES:
+        API_ACTION only for these medical requests:
+        - View appointments/reservations (my/all)
+        - Book/cancel/reschedule appointments  
+        - Show doctors/hospitals/patients
+        - Get doctor details
+
+        CONVERSATION for everything else:
+        - Greetings: "hello", "hi", "مرحبا"
+        - General questions, help requests, small talk
+        - Unclear/non-medical requests
+
+        DATE PARSING (if needed):
+        - Today/اليوم = current date
+        - Tomorrow/غدا = +1 day
+        - Times: صباحًا=09:00, مساءً=18:00, ظهرًا=12:00
+        - Format: YYYY-MM-DDTHH:MM:SS
+
+        OUTPUT JSON:
+        {{
+            "intent": "CONVERSATION|API_ACTION",
+            "confidence": 0.9,
+            "reasoning": "Brief explanation of decision",
+            "endpoint": "/path" or null,
+            "method": "GET|POST|PUT" or null,
+            "params": {{
+             // ALL VALUES IN ENGLISH - translate Arabic names/terms
+            }},
+            "calculated_datetime": "YYYY-MM-DDTHH:MM:SS" or null
+        }}
+
+        RULE: When uncertain, choose CONVERSATION. Translate Arabic terms to English in params.
+
+        Analyze:""",
             input_variables=["user_query", "detected_language", "extracted_keywords", 
                             "sentiment_analysis", "endpoints_documentation", "current_datetime", 
                             "timezone", "current_day_name"]
@@ -317,42 +363,73 @@ class HealthcareChatbot:
 
         self.api_response_template = PromptTemplate(
             template="""
-            You are a friendly healthcare assistant. Answer using the API data provided.
-
-            CONTEXT:
-            Query: {user_query}
-            Language: {detected_language}
-            API Data: {api_response}
-
-            INSTRUCTIONS:
-            • Use ONLY actual API data - never make up information
-            • Respond in {detected_language} only
-            • Sound warm and conversational, like talking to a friend
-            • Convert technical data to simple language
-
-            DATE/TIME FORMAT:
-            '2025-05-30T10:28:10' →
-            • English: "May 30, 2025 at 10:28 AM"
-            • Arabic: "٣٠ مايو ٢٠٢٥ في الساعة ١٠:٢٨ صباحاً"
-
-            TONE:
-            • Friendly starters: "Great!", "Perfect!", "ممتاز!", "رائع!"
-            • Reassuring: "Everything looks good", "كل شيء جاهز"
-            • Natural conversation, not robotic
-
-            LANGUAGE SPECIFICS:
-            Arabic: Use Arabic numerals (٠١٢٣٤٥٦٧٨٩) and month names
-            English: 12-hour format with AM/PM
-
-            EXAMPLES:
-            Appointment confirmed:
-            • English: "Great! Your appointment is set for May 30, 2025 at 10:28 AM!"
-            • Arabic: "ممتاز! موعدك محجوز يوم ٣٠ مايو ٢٠٢٥ الساعة ١٠:٢٨ صباحاً!"
-
-            Generate a friendly response using the API data:""",
+        You are a friendly healthcare assistant. Answer using API data in {detected_language}.
+
+        CONTEXT:
+        Query: {user_query}
+        API Data: {api_response}
+
+        DATE/TIME PARSING:
+        Extract from API format "YYYY-MM-DDTHH:MM:SS":
+        - Parse: Year(0-3), Month(5-6), Day(8-9), Hour(11-12), Minute(14-15)
+        - Months: 01=Jan/يناير, 02=Feb/فبراير, 03=Mar/مارس, 04=Apr/أبريل, 05=May/مايو, 06=Jun/يونيو, 07=Jul/يوليو, 08=Aug/أغسطس, 09=Sep/سبتمبر, 10=Oct/أكتوبر, 11=Nov/نوفمبر, 12=Dec/ديسمبر
+        - Time: 00-11=AM/صباحاً, 12=12PM/١٢ظهراً, 13-23=subtract 12+PM/مساءً
+
+        STEP-BY-STEP PROCESS:
+        1. Find date field in API data
+        2. Extract the datetime string (YYYY-MM-DDTHH:MM:SS format)
+        3. Parse each component using the rules above
+        4. Format according to language requirements
+
+        RULES:
+        - CRITICAL: Read date field from API data, ignore any example dates
+        - Parse the ACTUAL datetime string from the API response
+        - Use ONLY API data, never make up information
+        - Friendly tone with starters
+
+        Generate response:""",
             input_variables=["user_query", "api_response", "detected_language", "sentiment_analysis"]
         )
+        # last one 
+        # self.api_response_template = PromptTemplate(
+        #     template="""
+        #     You are a friendly healthcare assistant. Answer using the API data provided.
+
+        #     CONTEXT:
+        #     Query: {user_query}
+        #     Language: {detected_language}
+        #     API Data: {api_response}
+
+        #     INSTRUCTIONS:
+        #     • Use ONLY actual API data - never make up information
+        #     • Respond in {detected_language} only
+        #     • Sound warm and conversational, like talking to a friend
+        #     • Convert technical data to simple language
+
+        #     DATE/TIME FORMAT:
+        #     '2025-05-30T10:28:10' →
+        #     • English: "May 30, 2025 at 10:28 AM"
+        #     • Arabic: "٣٠ مايو ٢٠٢٥ في الساعة ١٠:٢٨ صباحاً"
+
+        #     TONE:
+        #     • Friendly starters: "Great!", "Perfect!", "ممتاز!", "رائع!"
+        #     • Reassuring: "Everything looks good", "كل شيء جاهز"
+        #     • Natural conversation, not robotic
+
+        #     LANGUAGE SPECIFICS:
+        #     Arabic: Use Arabic numerals (٠١٢٣٤٥٦٧٨٩) and month names
+        #     English: 12-hour format with AM/PM
+
+        #     EXAMPLES:
+        #     Appointment confirmed:
+        #     • English: "Great! Your appointment is set for May 30, 2025 at 10:28 AM!"
+        #     • Arabic: "ممتاز! موعدك محجوز يوم ٣٠ مايو ٢٠٢٥ الساعة ١٠:٢٨ صباحاً!"
+
+        #     Generate a friendly response using the API data:""",
+        #     input_variables=["user_query", "api_response", "detected_language", "sentiment_analysis"]
+        # )
 
+        # first one to be removed 
         # self.api_response_template = PromptTemplate(
         #       template="""
         #   You are a professional healthcare assistant. Generate a natural language response to the user's query using ONLY the provided API data.
@@ -686,6 +763,7 @@ class HealthcareChatbot:
             else:
                 router_data['params']['patient_id'] = self.user_id
             
+            
             print(f"🔍 Final API call data: {router_data}")
 
             # Make backend API call
@@ -776,7 +854,7 @@ class HealthcareChatbot:
             print(f"🎯 Router Decision: {router_data}")
             
             # Step 3: Handle based on intent
-            if router_data["intent"] == "CONVERSATION" and router_data['endpoint'] == '':
+            if router_data["intent"] == "CONVERSATION":
                 print(f"\n💬 Handling as CONVERSATION")
                 response_text = self.handle_conversation(user_message, detected_language, sentiment_result)