add fallback

app/config.py

@@ -2,12 +2,156 @@ from typing import Dict, Optional, List
 from dataclasses import dataclass
 from haystack.dataclasses import ChatMessage
 import os
+import logging
+
+logger = logging.getLogger(__name__)
 
 def load_prompt_template(filename: str) -> str:
-    """Load prompt template from txt file."""
+    """Load prompt template from txt file. Return fallback if file not found."""
     prompt_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "prompts", filename)
-    with open(prompt_path, "r", encoding="utf-8") as f:
-        return f.read().strip()
+    try:
+        with open(prompt_path, "r", encoding="utf-8") as f:
+            content = f.read().strip()
+            logger.info(f"✅ Loaded prompt template from file: {filename}")
+            return content
+    except FileNotFoundError:
+        logger.warning(f"⚠️  Prompt file not found: {filename}, using fallback template")
+        # Fallback prompts for production
+        fallback_prompts = {
+            "awesome-chatgpt-prompts.txt": """Given the following context where each document represents a prompt for a specific role,
+please answer the question while considering both the role and the prompt content.
+
+Available Contexts:
+{% for document in documents %}
+    {% if document.meta.role %}Role: {{ document.meta.role }}{% endif %}
+    Content: {{ document.content }}
+    ---
+{% endfor %}
+
+Question: {{question}}
+Answer:""",
+            "settings-dataset.txt": """Given the following context about software settings and configurations,
+please answer the question accurately based on the provided information.
+
+For each setting, provide a clear, step-by-step navigation path and include:
+1. The exact location (Origin Type > Tab > Section > Setting name)
+2. What the setting does
+3. Available options/values
+4. How to access and modify the setting
+5. Reference screenshots (if available)
+
+Format your answer as:
+"To [accomplish task], follow these steps:
+
+Location: [Origin Type] > [Tab] > [Section] > [Setting name]
+Purpose: [describe what the setting does]
+Options: [list available values/options]
+How to set: [describe interaction method: toggle/select/input]
+
+Visual Guide:
+[Include reference image links if available]
+
+For more details, you can refer to the screenshots above showing the exact location and interface."
+
+Available Contexts:
+{% for document in documents %}
+    Setting Info: {{ document.content }}
+    Reference Answer: {{ document.meta.answer }}
+    ---
+{% endfor %}
+
+Question: {{question}}
+Answer:""",
+            "seven-wonders.txt": """Given the following information about the Seven Wonders, please answer the question.
+
+Context:
+{% for document in documents %}
+    {{ document.content }}
+{% endfor %}
+
+Question: {{question}}
+Answer:""",
+            "psychology-dataset.txt": """Given the following context where each document represents a psychological inquiry,
+please answer the question based on the provided responses.
+
+Available Contexts:
+{% for document in documents %}
+    Question: {{ document.content }}
+    Response J: {{ document.meta.response_j }}
+    Response K: {{ document.meta.response_k }}
+    ---
+{% endfor %}
+
+Question: {{question}}
+Answer:""",
+            "developer-portfolio.txt": """You are a helpful assistant that provides direct answers based on the provided context. Format your answers using markdown, especially for lists.
+
+---
+Example 1:
+
+Question: What is your current role?
+
+Answer:
+I am a Tech Lead at FleetEnable, where I lead the UI development for a logistics SaaS product focused on drayage and freight management.
+
+---
+Example 2:
+
+Question: What are your primary responsibilities as a Tech Lead?
+
+Answer:
+My primary responsibilities include:
+- Leading UI development.
+- Collaborating with product and backend teams.
+- Helping define technical strategies.
+- Ensuring the delivery of high-quality features.
+
+---
+
+Context:
+{% for document in documents %}
+    Question: {{ document.meta.question }}
+    Answer: {{ document.content }}
+{% endfor %}
+
+Question: {{question}}
+
+Answer:""",
+            "system-instruction.txt": """You are an AI assistant for Rohit's developer portfolio. You have access to a RAG (Retrieval-Augmented Generation) pipeline containing information about Rohit's professional background, skills, and experience.
+
+CRITICAL: The portfolio information is about ROHIT, not you. Always refer to Rohit in the third person ("he", "his", "Rohit") rather than first person ("I", "my", "me").
+
+When you use rag_qa tool, you MUST use retrieved information to answer about Rohit's background.
+
+Guidelines:
+- Use rag_qa tool for questions about Rohit's: work experience, skills, projects, achievements, contact info
+- For general greetings, introduce yourself as Rohit's AI assistant
+- Always refer to Rohit in third person (he/his/Rohit)
+- Synthesize RAG results into natural responses about Rohit
+- Format responses with markdown for readability
+
+Examples:
+❌ Wrong: "I am a Tech Lead at FleetEnable"
+✅ Right: "Rohit is currently working as a Tech Lead at FleetEnable"
+
+❌ Wrong: "My responsibilities include..."
+✅ Right: "His responsibilities include..."
+
+❌ Wrong: "I have 5+ years of experience..."
+✅ Right: "Rohit has 5+ years of experience..."
+
+❌ Wrong: "You can reach me at..."
+✅ Right: "You can reach Rohit at..."
+
+For greetings: "Hi! I'm Rohit's AI assistant. I can help you learn about his professional background, skills, and experience. What would you like to know about Rohit?""",
+            "generic-system-instruction.txt": """You are a helpful AI assistant with access to a RAG (Retrieval-Augmented Generation) pipeline. Use the rag_qa tool to answer questions based on the provided context from the dataset. Provide accurate, helpful responses based on the retrieved information."""
+        }
+        fallback = fallback_prompts.get(filename, "Default prompt template")
+        if filename in fallback_prompts:
+            logger.info(f"✅ Using fallback template for: {filename}")
+        else:
+            logger.error(f"❌ No fallback found for: {filename}, using default")
+        return fallback
 
 @dataclass
 class DatasetConfig: