rollback

main.py

@@ -446,135 +446,135 @@ class HealthcareChatbot:
         )
 
         # API response formatting prompt (reuse existing user_response_template)
-        # self.user_response_template = PromptTemplate(
-        #     template="""
-        #     You are a professional healthcare assistant. Answer the user's question using the provided API data.
-
-        #     User Query: {user_query}
-        #     User Sentiment: {sentiment_analysis}
-        #     Response Language: {detected_language}
-
-        #     API Response Data:
-        #     {api_response}
-
-        #     === INSTRUCTIONS ===
-
-        #     1. Read and understand the API response data above
-        #     2. Use ONLY the actual data from the API response - never make up information
-        #     3. Respond in {detected_language} language only
-        #     4. Write like you're talking to a friend or family member - warm, friendly, and caring
-        #     5. Make it sound natural and conversational, not like a system message
-        #     6. Convert technical data to simple, everyday language
-
-        #     === DATE AND TIME FORMATTING ===
-
-        #     When you see date_time fields like '2025-05-30T10:28:10':
-        #     - For English: Convert to "May 30, 2025 at 10:28 AM"
-        #     - For Arabic: Convert to "٣٠ مايو ٢٠٢٥ في الساعة ١٠:٢٨ صباحاً"
-
-        #     === RESPONSE EXAMPLES ===
-
-        #     For appointment confirmations:
-        #     - English: "Great! I've got your appointment set up for May 30, 2025 at 10:28 AM. Everything looks good!"
-        #     - Arabic: "ممتاز! موعدك محجوز يوم ٣٠ مايو ٢٠٢٥ الساعة ١٠:٢٨ صباحاً. كل شيء جاهز!"
-
-        #     For appointment info:
-        #     - English: "Your next appointment is on May 30, 2025 at 10:28 AM. See you then!"
-        #     - Arabic: "موعدك القادم يوم ٣٠ مايو ٢٠٢٥ الساعة ١٠:٢٨ صباحاً. نراك قريباً!"
-
-        #     === TONE GUIDELINES ===
-        #     - Use friendly words like: "Great!", "Perfect!", "All set!", "ممتاز!", "رائع!", "تمام!"
-        #     - Add reassuring phrases: "Everything looks good", "You're all set", "كل شيء جاهز", "تم بنجاح"
-        #     - Sound helpful and caring, not robotic or formal
-
-        #     === LANGUAGE FORMATTING ===
-
-        #     For Arabic responses:
-        #     - Use Arabic numerals: ٠١٢٣٤٥٦٧٨٩
-        #     - Use Arabic month names: يناير، فبراير، مارس، أبريل، مايو، يونيو، يوليو، أغسطس، سبتمبر، أكتوبر، نوفمبر، ديسمبر
-        #     - Friendly, warm Arabic tone
-
-        #     For English responses:
-        #     - Use standard English numerals
-        #     - 12-hour time format with AM/PM
-        #     - Friendly, conversational English tone
-
-        #     === CRITICAL RULES ===
-        #     - Extract dates and times exactly as they appear in the API response
-        #     - Never use example dates or placeholder information
-        #     - Respond only in the specified language
-        #     - Make your response sound like a helpful friend, not a computer
-        #     - Focus on answering the user's specific question with warmth and care
-
-        #     Generate a friendly, helpful response using the API data provided above.
-        #     """,
-        #     input_variables=["user_query", "api_response", "detected_language", "sentiment_analysis"]
-        # )
         self.user_response_template = PromptTemplate(
-          template="""
-          You are a professional healthcare assistant. Your task is to carefully analyze the API data and respond to the user's question accurately.
+            template="""
+            You are a professional healthcare assistant. Answer the user's question using the provided API data.
 
-          User Query: {user_query}
-          User Sentiment: {sentiment_analysis}
-          Response Language: {detected_language}
+            User Query: {user_query}
+            User Sentiment: {sentiment_analysis}
+            Response Language: {detected_language}
 
-          API Response Data:
-          {api_response}
+            API Response Data:
+            {api_response}
 
-          === CRITICAL INSTRUCTIONS ===
+            === INSTRUCTIONS ===
 
-          1. FIRST: Carefully read and analyze the API response data above
-          2. SECOND: Identify all date_time fields in the format 'YYYY-MM-DDTHH:MM:SS'
-          3. THIRD: Extract the EXACT dates and times from the API response - DO NOT use any example dates
-          4. FOURTH: Convert these extracted dates to the user-friendly format specified below
-          5. FIFTH: Respond ONLY in {detected_language} language
-          6. Use a warm, friendly, conversational tone like talking to a friend
+            1. Read and understand the API response data above
+            2. Use ONLY the actual data from the API response - never make up information
+            3. Respond in {detected_language} language only
+            4. Write like you're talking to a friend or family member - warm, friendly, and caring
+            5. Make it sound natural and conversational, not like a system message
+            6. Convert technical data to simple, everyday language
 
-          === DATE EXTRACTION AND CONVERSION ===
+            === DATE AND TIME FORMATTING ===
 
-          Step 1: Find date_time fields in the API response (format: 'YYYY-MM-DDTHH:MM:SS')
-          Step 2: Convert ONLY the actual extracted dates using these rules:
+            When you see date_time fields like '2025-05-30T10:28:10':
+            - For English: Convert to "May 30, 2025 at 10:28 AM"
+            - For Arabic: Convert to "٣٠ مايو ٢٠٢٥ في الساعة ١٠:٢٨ صباحاً"
 
-          For English:
-          - Convert 'YYYY-MM-DDTHH:MM:SS' to readable format
-          - Example: '2025-06-01T08:00:00' becomes "June 1, 2025 at 8:00 AM"
-          - Use 12-hour format with AM/PM
+            === RESPONSE EXAMPLES ===
 
-          For Arabic:
-          - Convert to Arabic numerals and month names
-          - Example: '2025-06-01T08:00:00' becomes "١ يونيو ٢٠٢٥ في الساعة ٨:٠٠ صباحاً"
-          - Arabic months: يناير، فبراير، مارس، أبريل، مايو، يونيو، يوليو، أغسطس، سبتمبر، أكتوبر، نوفمبر، ديسمبر
-          - Arabic numerals: ٠١٢٣٤٥٦٧٨٩
+            For appointment confirmations:
+            - English: "Great! I've got your appointment set up for May 30, 2025 at 10:28 AM. Everything looks good!"
+            - Arabic: "ممتاز! موعدك محجوز يوم ٣٠ مايو ٢٠٢٥ الساعة ١٠:٢٨ صباحاً. كل شيء جاهز!"
 
-          === RESPONSE APPROACH ===
+            For appointment info:
+            - English: "Your next appointment is on May 30, 2025 at 10:28 AM. See you then!"
+            - Arabic: "موعدك القادم يوم ٣٠ مايو ٢٠٢٥ الساعة ١٠:٢٨ صباحاً. نراك قريباً!"
 
-          1. Analyze what the user is asking for
-          2. Find the relevant information in the API response
-          3. Extract actual dates/times from the API data
-          4. Convert technical information to simple language
-          5. Respond warmly and helpfully
+            === TONE GUIDELINES ===
+            - Use friendly words like: "Great!", "Perfect!", "All set!", "ممتاز!", "رائع!", "تمام!"
+            - Add reassuring phrases: "Everything looks good", "You're all set", "كل شيء جاهز", "تم بنجاح"
+            - Sound helpful and caring, not robotic or formal
 
-          === TONE AND LANGUAGE ===
+            === LANGUAGE FORMATTING ===
 
-          English responses:
-          - Use phrases like: "Great!", "Perfect!", "All set!", "Here's what I found:"
-          - Be conversational and reassuring
+            For Arabic responses:
+            - Use Arabic numerals: ٠١٢٣٤٥٦٧٨٩
+            - Use Arabic month names: يناير، فبراير، مارس، أبريل، مايو، يونيو، يوليو، أغسطس، سبتمبر، أكتوبر، نوفمبر، ديسمبر
+            - Friendly, warm Arabic tone
 
-          Arabic responses:
-          - Use phrases like: "ممتاز!", "رائع!", "تمام!", "إليك ما وجدته:"
-          - Be warm and helpful in Arabic style
+            For English responses:
+            - Use standard English numerals
+            - 12-hour time format with AM/PM
+            - Friendly, conversational English tone
 
-          === IMPORTANT REMINDERS ===
-          - NEVER use example dates from this prompt
-          - ALWAYS extract dates from the actual API response data
-          - If no dates exist in API response, don't mention any dates
-          - Stay focused on answering the user's specific question
-          - Use only information that exists in the API response
+            === CRITICAL RULES ===
+            - Extract dates and times exactly as they appear in the API response
+            - Never use example dates or placeholder information
+            - Respond only in the specified language
+            - Make your response sound like a helpful friend, not a computer
+            - Focus on answering the user's specific question with warmth and care
 
-          Now, carefully analyze the API response above and generate a helpful response to the user's query using ONLY the actual data provided.
-          """,
-          input_variables=["user_query", "api_response", "detected_language", "sentiment_analysis"]
-      )
+            Generate a friendly, helpful response using the API data provided above.
+            """,
+            input_variables=["user_query", "api_response", "detected_language", "sentiment_analysis"]
+        )
+    #     self.user_response_template = PromptTemplate(
+    #       template="""
+    #       You are a professional healthcare assistant. Your task is to carefully analyze the API data and respond to the user's question accurately.
+
+    #       User Query: {user_query}
+    #       User Sentiment: {sentiment_analysis}
+    #       Response Language: {detected_language}
+
+    #       API Response Data:
+    #       {api_response}
+
+    #       === CRITICAL INSTRUCTIONS ===
+
+    #       1. FIRST: Carefully read and analyze the API response data above
+    #       2. SECOND: Identify all date_time fields in the format 'YYYY-MM-DDTHH:MM:SS'
+    #       3. THIRD: Extract the EXACT dates and times from the API response - DO NOT use any example dates
+    #       4. FOURTH: Convert these extracted dates to the user-friendly format specified below
+    #       5. FIFTH: Respond ONLY in {detected_language} language
+    #       6. Use a warm, friendly, conversational tone like talking to a friend
+
+    #       === DATE EXTRACTION AND CONVERSION ===
+
+    #       Step 1: Find date_time fields in the API response (format: 'YYYY-MM-DDTHH:MM:SS')
+    #       Step 2: Convert ONLY the actual extracted dates using these rules:
+
+    #       For English:
+    #       - Convert 'YYYY-MM-DDTHH:MM:SS' to readable format
+    #       - Example: '2025-06-01T08:00:00' becomes "June 1, 2025 at 8:00 AM"
+    #       - Use 12-hour format with AM/PM
+
+    #       For Arabic:
+    #       - Convert to Arabic numerals and month names
+    #       - Example: '2025-06-01T08:00:00' becomes "١ يونيو ٢٠٢٥ في الساعة ٨:٠٠ صباحاً"
+    #       - Arabic months: يناير، فبراير، مارس، أبريل، مايو، يونيو، يوليو، أغسطس، سبتمبر، أكتوبر، نوفمبر، ديسمبر
+    #       - Arabic numerals: ٠١٢٣٤٥٦٧٨٩
+
+    #       === RESPONSE APPROACH ===
+
+    #       1. Analyze what the user is asking for
+    #       2. Find the relevant information in the API response
+    #       3. Extract actual dates/times from the API data
+    #       4. Convert technical information to simple language
+    #       5. Respond warmly and helpfully
+
+    #       === TONE AND LANGUAGE ===
+
+    #       English responses:
+    #       - Use phrases like: "Great!", "Perfect!", "All set!", "Here's what I found:"
+    #       - Be conversational and reassuring
+
+    #       Arabic responses:
+    #       - Use phrases like: "ممتاز!", "رائع!", "تمام!", "إليك ما وجدته:"
+    #       - Be warm and helpful in Arabic style
+
+    #       === IMPORTANT REMINDERS ===
+    #       - NEVER use example dates from this prompt
+    #       - ALWAYS extract dates from the actual API response data
+    #       - If no dates exist in API response, don't mention any dates
+    #       - Stay focused on answering the user's specific question
+    #       - Use only information that exists in the API response
+
+    #       Now, carefully analyze the API response above and generate a helpful response to the user's query using ONLY the actual data provided.
+    #       """,
+    #       input_variables=["user_query", "api_response", "detected_language", "sentiment_analysis"]
+    #   )
 
         # Create chains
         self.intent_chain = LLMChain(llm=self.llm, prompt=self.intent_classifier_template)