Update app.py

app.py

@@ -13,13 +13,6 @@ CRITICAL FIXES APPLIED:
 - Rate limiting
 - Comprehensive input validation
 - Circuit breakers for agent resilience
-
-ENHANCEMENTS FOR FIRST-TIME USERS:
-- First-time user detection and welcome experience
-- Enhanced empty states with guidance
-- Progressive disclosure of advanced features
-- Improved demo scenario discovery
-- Real-time slider feedback with threshold indicators
 """
 
 import os
@@ -41,7 +34,6 @@ from concurrent.futures import ProcessPoolExecutor
 from queue import Queue
 from circuitbreaker import circuit
 import atomicwrites
-from pathlib import Path
 
 # Import our modules
 from models import (
@@ -59,27 +51,6 @@ logger = logging.getLogger(__name__)
 
 
 
-# === First-Time User Detection ===
-FIRST_TIME_FILE = Path(".arf_first_time_user.json")
-
-def is_first_time_user():
-    """Check if this is the user's first visit"""
-    if not FIRST_TIME_FILE.exists():
-        return True
-    try:
-        with open(FIRST_TIME_FILE, 'r') as f:
-            data = json.load(f)
-            return data.get('first_time', True)
-    except:
-        return True
-
-def mark_user_visited():
-    """Mark that user has visited (call after first interaction)"""
-    data = {'first_time': False, 'first_visit_date': str(datetime.datetime.now())}
-    with open(FIRST_TIME_FILE, 'w') as f:
-        json.dump(data, f)
-
-
 # === CONSTANTS (FIXED: Extracted all magic numbers) ===
 class Constants:
     """Centralized constants to eliminate magic numbers"""
@@ -580,6 +551,10 @@ try:
     from sentence_transformers import SentenceTransformer
     import faiss
     
+# REMOVED:     logger.info("Loading SentenceTransformer model...")
+# REMOVED:     model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
+# REMOVED:     logger.info("SentenceTransformer model loaded successfully")
+    
     if os.path.exists(config.INDEX_FILE):
         logger.info(f"Loading existing FAISS index from {config.INDEX_FILE}")
         index = faiss.read_index(config.INDEX_FILE)
@@ -1839,7 +1814,6 @@ def create_enhanced_ui():
     FIXED: Rate limiting on all endpoints
     NEW: Demo scenarios for killer presentations
     NEW: ROI Dashboard with real-time business metrics
-    ENHANCED: First-time user experience with guided onboarding
     """
     
     with gr.Blocks(title="🧠 Agentic Reliability Framework", theme="soft") as demo:
@@ -1853,27 +1827,6 @@ def create_enhanced_ui():
         
         # === ROI DASHBOARD ===
         with gr.Accordion("💰 Business Impact Dashboard", open=True):
-            # Check if first-time user
-            first_time = is_first_time_user()
-            
-            # Welcome banner for first-time users
-            if first_time:
-                gr.Markdown("""
-                <div style='background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); 
-                            padding: 20px; border-radius: 10px; color: white; margin-bottom: 20px;'>
-                <h3 style='margin-top: 0;'>🚀 Welcome to ARF! Your First Analysis Awaits</h3>
-                <p><strong>Get started in 30 seconds:</strong></p>
-                <ol style='margin-bottom: 0;'>
-                    <li>Select a <strong>Demo Scenario</strong> below (try "🛍️ Black Friday Crisis")</li>
-                    <li>Click <strong>🚀 Submit Telemetry Event</strong></li>
-                    <li>Watch AI agents diagnose the issue in real-time</li>
-                </ol>
-                <p style='margin-top: 10px; font-size: 0.9em; opacity: 0.9;'>
-                ⭐ <em>82% of users discover critical issues in their first demo</em>
-                </p>
-                </div>
-                """)
-            
             gr.Markdown("""
             ### Real-Time ROI Metrics
             Track cumulative business value delivered by ARF across all analyzed incidents.
@@ -1884,23 +1837,20 @@ def create_enhanced_ui():
                     total_incidents_display = gr.Number(
                         label="📊 Total Incidents Analyzed",
                         value=0,
-                        interactive=False,
-                        info="Submit your first telemetry to see analysis" if first_time else None
+                        interactive=False
                     )
                 with gr.Column(scale=1):
                     incidents_healed_display = gr.Number(
                         label="🔧 Incidents Auto-Healed",
                         value=0,
-                        interactive=False,
-                        info="AI-powered healing triggers after analysis" if first_time else None
+                        interactive=False
                     )
                 with gr.Column(scale=1):
                     auto_heal_rate_display = gr.Number(
                         label="⚡ Auto-Heal Rate (%)",
                         value=0,
                         interactive=False,
-                        precision=1,
-                        info="Percentage of incidents resolved automatically" if first_time else None
+                        precision=1
                     )
             
             with gr.Row():
@@ -1909,24 +1859,21 @@ def create_enhanced_ui():
                         label="💰 Revenue Saved (\$)",
                         value=0,
                         interactive=False,
-                        precision=2,
-                        info="Potential cost savings from faster resolution" if first_time else None
+                        precision=2
                     )
                 with gr.Column(scale=1):
                     avg_detection_display = gr.Number(
                         label="⏱️ Avg Detection Time (min)",
                         value=2.3,
                         interactive=False,
-                        precision=1,
-                        info="Average time to detect incidents" if first_time else None
+                        precision=1
                     )
                 with gr.Column(scale=1):
                     time_improvement_display = gr.Number(
                         label="🚀 Time Improvement vs Industry (%)",
                         value=83.6,
                         interactive=False,
-                        precision=1,
-                        info="How much faster than industry average" if first_time else None
+                        precision=1
                     )
             
             with gr.Row():
@@ -1946,39 +1893,21 @@ def create_enhanced_ui():
             with gr.Column(scale=1):
                 gr.Markdown("### 📊 Telemetry Input")
                 
-                # Enhanced Demo Scenarios Section
-                gr.Markdown("### 🎬 Quick Start Demo Scenarios")
-                first_time = is_first_time_user()
-                
+                # Demo Scenarios Dropdown
                 with gr.Row():
                     scenario_dropdown = gr.Dropdown(
-                        choices=["Select a scenario..."] + list(DEMO_SCENARIOS.keys()),
-                        value="Select a scenario..." if first_time else "Manual Entry",
-                        label="Demo Scenario Selector",
-                        info="🎯 **Recommended for first-time users:** Try '🛍️ Black Friday Crisis'"
+                        choices=["Manual Entry"] + list(DEMO_SCENARIOS.keys()),
+                        value="Manual Entry",
+                        label="🎬 Demo Scenario (Quick Start)",
+                        info="Select a pre-configured scenario or enter manually"
                     )
                 
-                # Scenario descriptions that appear when selected
+                # Scenario Story Display
                 scenario_story = gr.Markdown(
-                    value="" if first_time else "💡 *Select a scenario above to pre-fill realistic telemetry values*",
+                    value="*Select a demo scenario above for a pre-configured incident, or enter values manually below.*",
                     visible=True
                 )
                 
-                # Quick scenario cards (visual alternative for first-time users)
-                if first_time:
-                    gr.Markdown("""
-                    <div style='display: flex; gap: 10px; margin-top: 15px;'>
-                        <div style='flex: 1; padding: 15px; background: #f0f7ff; border-radius: 8px; border-left: 4px solid #667eea; cursor: pointer;' onclick='document.querySelector("select[data-testid]").value = "🛍️ Black Friday Crisis"; document.querySelector("select[data-testid]").dispatchEvent(new Event("change"));'>
-                            <strong>🛍️ Black Friday Crisis</strong><br>
-                            <small>Payment failing during peak traffic</small>
-                        </div>
-                        <div style='flex: 1; padding: 15px; background: #fff0f0; border-radius: 8px; border-left: 4px solid #e53e3e; cursor: pointer;' onclick='document.querySelector("select[data-testid]").value = "🚨 Database Meltdown"; document.querySelector("select[data-testid]").dispatchEvent(new Event("change"));'>
-                            <strong>🚨 Database Meltdown</strong><br>
-                            <small>Cascading failures across services</small>
-                        </div>
-                    </div>
-                    """)
-                
                 component = gr.Dropdown(
                     choices=["api-service", "auth-service", "payment-service", "database", "cache-service"],
                     value="api-service",
@@ -1988,12 +1917,12 @@ def create_enhanced_ui():
                 latency = gr.Slider(
                     minimum=10, maximum=1000, value=100, step=1,
                     label="Latency P99 (ms)",
-                    info=f"Alert threshold: >{Constants.LATENCY_WARNING}ms (🟢 Normal: <150ms, 🟡 Warning: 150-300ms, 🔴 Critical: >300ms)"
+                    info=f"Alert threshold: >{Constants.LATENCY_WARNING}ms (adaptive)"
                 )
                 error_rate = gr.Slider(
                     minimum=0, maximum=0.5, value=0.02, step=0.001,
                     label="Error Rate",
-                    info=f"Alert threshold: >{Constants.ERROR_RATE_WARNING} (🟢 Normal: <5%, 🟡 Warning: 5-15%, 🔴 Critical: >15%)"
+                    info=f"Alert threshold: >{Constants.ERROR_RATE_WARNING}"
                 )
                 throughput = gr.Number(
                     value=1000,
@@ -2003,12 +1932,12 @@ def create_enhanced_ui():
                 cpu_util = gr.Slider(
                     minimum=0, maximum=1, value=0.4, step=0.01,
                     label="CPU Utilization",
-                    info="0.0 - 1.0 scale (🟢 Normal: <80%, 🟡 Warning: 80-90%, 🔴 Critical: >90%)"
+                    info="0.0 - 1.0 scale"
                 )
                 memory_util = gr.Slider(
                     minimum=0, maximum=1, value=0.3, step=0.01,
                     label="Memory Utilization",
-                    info="0.0 - 1.0 scale (🟢 Normal: <80%, 🟡 Warning: 80-90%, 🔴 Critical: >90%)"
+                    info="0.0 - 1.0 scale"
                 )
                 submit_btn = gr.Button("🚀 Submit Telemetry Event", variant="primary", size="lg")
                 
@@ -2082,9 +2011,9 @@ def create_enhanced_ui():
         # Scenario change handler
         def on_scenario_change(scenario_name):
             """Update input fields when demo scenario is selected"""
-            if scenario_name == "Select a scenario..." or scenario_name == "Manual Entry":
+            if scenario_name == "Manual Entry":
                 return {
-                    scenario_story: gr.update(value="*Enter values manually below, or select a demo scenario for a realistic example.*"),
+                    scenario_story: gr.update(value="*Enter values manually below.*"),
                     component: gr.update(value="api-service"),
                     latency: gr.update(value=100),
                     error_rate: gr.update(value=0.02),
@@ -2144,12 +2073,7 @@ def create_enhanced_ui():
             FIXED: Rate limiting added
             FIXED: Comprehensive error handling
             NEW: Updates ROI dashboard metrics
-            ENHANCED: First-time user tracking
             """
-            # Mark user as no longer first-time (if they are)
-            if is_first_time_user():
-                mark_user_visited()
-            
             try:
                 # Rate limiting check
                 allowed, rate_msg = rate_limiter.is_allowed()
@@ -2325,7 +2249,7 @@ def create_enhanced_ui():
     # === Main Entry Point ===
 if __name__ == "__main__":
     logger.info("=" * 80)
-    logger.info("Starting Enterprise Agentic Reliability Framework (ENHANCED FIRST-TIME UX)")
+    logger.info("Starting Enterprise Agentic Reliability Framework (DEMO READY VERSION)")
     logger.info("=" * 80)
     logger.info(f"Python version: {os.sys.version}")
     logger.info(f"Total events in history: {enhanced_engine.event_store.count()}")
@@ -2335,7 +2259,6 @@ if __name__ == "__main__":
     logger.info(f"Demo scenarios loaded: {len(DEMO_SCENARIOS)}")
     logger.info(f"Configuration: HF_TOKEN={'SET' if config.HF_TOKEN else 'NOT SET'}")
     logger.info(f"Rate limit: {Constants.MAX_REQUESTS_PER_MINUTE} requests/minute")
-    logger.info(f"First-time user: {is_first_time_user()}")
     logger.info("=" * 80)
     
     try: