"""
GlycoAI - AI-Powered Glucose Insights
Main Gradio application with both demo users AND real Dexcom OAuth
"""

import gradio as gr
import plotly.graph_objects as go
import plotly.express as px
from datetime import datetime, timedelta
import pandas as pd
from typing import Optional, Tuple, List
import logging
import os
import webbrowser
import urllib.parse

# Load environment variables from .env file
from dotenv import load_dotenv
load_dotenv()

# Import the Mistral chat class and unified data manager
from mistral_chat import GlucoBuddyMistralChat, validate_environment
from unified_data_manager import UnifiedDataManager

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Import our custom functions
from apifunctions import (
    DexcomAPI,
    GlucoseAnalyzer,
    DEMO_USERS,
    format_glucose_data_for_display
)

# Import real Dexcom OAuth (now working!)
try:
    from dexcom_real_auth_system import DexcomRealAPI
    REAL_OAUTH_AVAILABLE = True
    logger.info("✅ Real Dexcom OAuth available")
except ImportError as e:
    REAL_OAUTH_AVAILABLE = False
    logger.warning(f"⚠️ Real Dexcom OAuth not available: {e}")

class GlucoBuddyApp:
    """Main application class for GlucoBuddy with demo users AND real OAuth"""

    def __init__(self):
        # Validate environment before initializing
        if not validate_environment():
            raise ValueError("Environment validation failed - check your .env file or environment variables")
        
        # Single data manager for consistency
        self.data_manager = UnifiedDataManager()
        
        # Chat interface (will use data manager's context)
        self.mistral_chat = GlucoBuddyMistralChat()
        
        # Real OAuth API (if available)
        self.real_api = DexcomRealAPI(environment="sandbox") if REAL_OAUTH_AVAILABLE else None
        
        # UI state
        self.chat_history = []
        self.current_user_type = None  # "demo" or "real"

    def select_demo_user(self, user_key: str) -> Tuple[str, str]:
        """Handle demo user selection and load data consistently"""
        if user_key not in DEMO_USERS:
            return "❌ Invalid user selection", gr.update(visible=False)

        try:
            # Load data through unified manager
            load_result = self.data_manager.load_user_data(user_key)
            
            if not load_result['success']:
                return f"❌ {load_result['message']}", gr.update(visible=False)
            
            user = self.data_manager.current_user
            self.current_user_type = "demo"
            
            # Update Mistral chat with the same context
            self._sync_chat_with_data_manager()
            
            # Clear chat history when switching users
            self.chat_history = []
            self.mistral_chat.clear_conversation()

            return (
                f"Connected: {user.name} ({user.device_type}) - DEMO DATA - Click 'Load Data' to begin", 
                gr.update(visible=True)
            )

        except Exception as e:
            logger.error(f"Demo user selection failed: {str(e)}")
            return f"❌ Connection failed: {str(e)}", gr.update(visible=False)

    def start_real_oauth(self) -> str:
        """Start real Dexcom OAuth process"""
        if not REAL_OAUTH_AVAILABLE:
            return """
❌ **Real Dexcom OAuth Not Available**

The real authentication module is not properly configured.
Please ensure:
1. dexcom_real_auth_system.py exists and imports correctly
2. You have valid Dexcom developer credentials
3. All dependencies are installed

For now, please use the demo users above for instant access to realistic glucose data.
            """
        
        try:
            # Start OAuth flow
            success = self.real_api.start_oauth_flow()
            
            if success:
                return f"""
🚀 **Real Dexcom OAuth Started**

**SIMPLIFIED PROCESS FOR PORT 7860:**

1. ✅ Browser should have opened to Dexcom login page
2. 📝 Log in with your **real Dexcom account credentials**
   - For sandbox testing: `sandboxuser1@dexcom.com` / `Dexcom123!`
3. ✅ Authorize GlycoAI to access your data  
4. ❌ **You will get a 404 error - THIS IS EXPECTED!**
5. 📋 **Copy ONLY the authorization code** from the URL

**Example callback URL:**
`http://localhost:7860/callback?code=ABC123XYZ&state=...`

**Copy just this part:** `ABC123XYZ`

**Why simpler?** Your token generator script works perfectly with just the code, so we're using the same approach!
                """
            else:
                return "❌ Failed to start OAuth process. Check console for details."
                
        except Exception as e:
            logger.error(f"OAuth start error: {e}")
            return f"❌ OAuth error: {str(e)}"

    def complete_real_oauth(self, auth_code_input: str) -> Tuple[str, str]:
        """Complete real OAuth with authorization code (like the working script)"""
        if not REAL_OAUTH_AVAILABLE:
            return "❌ Real OAuth not available", gr.update(visible=False)
        
        if not auth_code_input or not auth_code_input.strip():
            return "❌ Please paste the authorization code", gr.update(visible=False)
        
        try:
            # Clean up the input - handle both full URLs and just codes
            auth_code = self._extract_auth_code(auth_code_input.strip())
            
            if not auth_code:
                return "❌ No authorization code found in input", gr.update(visible=False)
            
            logger.info(f"Processing authorization code: {auth_code[:20]}...")
            
            # Use the same method as the working script - direct token exchange
            success = self.real_api.exchange_code_for_tokens(auth_code)
            
            if success:
                logger.info("✅ Token exchange successful")
                
                # Load real data into data manager
                real_data_result = self._load_real_dexcom_data()
                
                if real_data_result['success']:
                    self.current_user_type = "real"
                    
                    # Update chat context
                    self._sync_chat_with_data_manager()
                    
                    # Clear chat history for new user
                    self.chat_history = []
                    self.mistral_chat.clear_conversation()
                    
                    return (
                        f"✅ Connected: Real Dexcom User - LIVE DATA - Click 'Load Data' to begin",
                        gr.update(visible=True)
                    )
                else:
                    return f"❌ Data loading failed: {real_data_result['message']}", gr.update(visible=False)
            else:
                return "❌ Token exchange failed - check the authorization code", gr.update(visible=False)
                
        except Exception as e:
            logger.error(f"OAuth completion error: {e}")
            return f"❌ OAuth completion failed: {str(e)}", gr.update(visible=False)
    
    def _extract_auth_code(self, input_text: str) -> str:
        """Extract authorization code from various input formats"""
        try:
            # If it's a full URL, parse it
            if input_text.startswith('http'):
                parsed_url = urllib.parse.urlparse(input_text)
                query_params = urllib.parse.parse_qs(parsed_url.query)
                
                if 'code' in query_params:
                    return query_params['code'][0]
                else:
                    logger.warning(f"No 'code' parameter found in URL: {input_text}")
                    return ""
            else:
                # Assume it's just the authorization code
                # Remove any "code=" prefix if present
                if input_text.startswith('code='):
                    return input_text[5:]
                else:
                    return input_text
                    
        except Exception as e:
            logger.error(f"Error extracting auth code: {e}")
            return ""

    def _load_real_dexcom_data(self) -> dict:
        """Load real Dexcom data through the unified data manager"""
        try:
            # Get data range
            data_range = self.real_api.get_data_range()
            
            # Get glucose data (last 14 days)
            end_time = datetime.now()
            start_time = end_time - timedelta(days=14)
            
            egv_data = self.real_api.get_egv_data(
                start_date=start_time.isoformat(),
                end_date=end_time.isoformat()
            )
            
            # Get events data
            events_data = self.real_api.get_events_data(
                start_date=start_time.isoformat(),
                end_date=end_time.isoformat()
            )
            
            # Create a real user profile
            from dataclasses import dataclass
            
            @dataclass
            class RealDexcomUser:
                name: str = "Real Dexcom User"
                age: int = 0
                device_type: str = "Real Dexcom Device"
                username: str = "authenticated_user"
                password: str = "oauth_token"
                description: str = "Authenticated real Dexcom user with live data"
                diabetes_type: str = "Real Patient"
                years_with_diabetes: int = 0
                typical_glucose_pattern: str = "real_data"
            
            real_user = RealDexcomUser()
            
            # Process the real data through unified data manager
            # Convert to format expected by data manager
            formatted_data = {
                "data_range": data_range,
                "egv_data": egv_data,
                "events_data": events_data,
                "source": "real_dexcom_api"
            }
            
            # Load into data manager
            self.data_manager.current_user = real_user
            self.data_manager.processed_glucose_data = pd.DataFrame(egv_data) if egv_data else pd.DataFrame()
            
            if not self.data_manager.processed_glucose_data.empty:
                # Process timestamps
                self.data_manager.processed_glucose_data['systemTime'] = pd.to_datetime(
                    self.data_manager.processed_glucose_data['systemTime']
                )
                self.data_manager.processed_glucose_data['displayTime'] = pd.to_datetime(
                    self.data_manager.processed_glucose_data['displayTime']
                )
                self.data_manager.processed_glucose_data['value'] = pd.to_numeric(
                    self.data_manager.processed_glucose_data['value'], errors='coerce'
                )
                
                # Calculate stats
                from apifunctions import GlucoseAnalyzer
                self.data_manager.calculated_stats = GlucoseAnalyzer.calculate_basic_stats(
                    self.data_manager.processed_glucose_data
                )
                self.data_manager.identified_patterns = GlucoseAnalyzer.identify_patterns(
                    self.data_manager.processed_glucose_data
                )
            
            logger.info(f"Loaded real Dexcom data: {len(egv_data)} glucose readings")
            
            return {
                'success': True,
                'message': f'Loaded {len(egv_data)} real glucose readings'
            }
            
        except Exception as e:
            logger.error(f"Failed to load real Dexcom data: {e}")
            return {
                'success': False,
                'message': f'Failed to load real data: {str(e)}'
            }

    def load_glucose_data(self) -> Tuple[str, go.Figure]:
        """Load and display glucose data using unified manager"""
        if not self.data_manager.current_user:
            return "Please select a user first (demo or real Dexcom)", None

        try:
            # For real users, we already loaded the data during OAuth
            if self.current_user_type == "real":
                if self.data_manager.processed_glucose_data.empty:
                    return "No real glucose data available", None
            else:
                # For demo users, force reload data to ensure freshness
                load_result = self.data_manager.load_user_data(
                    self._get_current_user_key(), 
                    force_reload=True
                )
                
                if not load_result['success']:
                    return load_result['message'], None
            
            # Get unified stats
            stats = self.data_manager.get_stats_for_ui()
            chart_data = self.data_manager.get_chart_data()
            
            # Sync chat with fresh data
            self._sync_chat_with_data_manager()
            
            if chart_data is None or chart_data.empty:
                return "No glucose data available", None

            # Build data summary with CONSISTENT metrics
            user = self.data_manager.current_user
            data_points = stats.get('total_readings', 0)
            avg_glucose = stats.get('average_glucose', 0)
            std_glucose = stats.get('std_glucose', 0)
            min_glucose = stats.get('min_glucose', 0)
            max_glucose = stats.get('max_glucose', 0)
            
            time_in_range = stats.get('time_in_range_70_180', 0)
            time_below_range = stats.get('time_below_70', 0)
            time_above_range = stats.get('time_above_180', 0)
            
            gmi = stats.get('gmi', 0)
            cv = stats.get('cv', 0)
            
            # Calculate date range
            end_date = datetime.now()
            start_date = end_date - timedelta(days=14)
            
            # Determine data source
            data_source = "REAL DEXCOM DATA" if self.current_user_type == "real" else "DEMO DATA"
            
            data_summary = f"""
## 📊 Data Summary for {user.name}

### Basic Information
• **Data Type:** {data_source}
• **Analysis Period:** {start_date.strftime('%B %d, %Y')} to {end_date.strftime('%B %d, %Y')} (14 days)
• **Total Readings:** {data_points:,} glucose measurements
• **Device:** {user.device_type}
• **Data Source:** {stats.get('data_source', 'unknown').upper()}

### Glucose Statistics
• **Average Glucose:** {avg_glucose:.1f} mg/dL
• **Standard Deviation:** {std_glucose:.1f} mg/dL
• **Coefficient of Variation:** {cv:.1f}%
• **Glucose Range:** {min_glucose:.0f} - {max_glucose:.0f} mg/dL
• **GMI (Glucose Management Indicator):** {gmi:.1f}%

### Time in Range Analysis
• **Time in Range (70-180 mg/dL):** {time_in_range:.1f}%
• **Time Below Range (<70 mg/dL):** {time_below_range:.1f}%
• **Time Above Range (>180 mg/dL):** {time_above_range:.1f}%

### Clinical Targets
• **Target Time in Range:** >70% (Current: {time_in_range:.1f}%)
• **Target Time Below Range:** <4% (Current: {time_below_range:.1f}%)
• **Target CV:** <36% (Current: {cv:.1f}%)

### Data Validation
• **In Range Count:** {stats.get('in_range_count', 0)} readings
• **Below Range Count:** {stats.get('below_range_count', 0)} readings
• **Above Range Count:** {stats.get('above_range_count', 0)} readings
• **Total Verified:** {stats.get('in_range_count', 0) + stats.get('below_range_count', 0) + stats.get('above_range_count', 0)} readings

### 14-Day Analysis Benefits
• **Enhanced Pattern Recognition:** Captures full weekly cycles and variations
• **Improved Trend Analysis:** Identifies consistent patterns vs. one-time events
• **Better Clinical Insights:** More reliable data for healthcare decisions
• **AI Consistency:** Same data used for chat analysis and UI display

### Authentication Status
• **User Type:** {self.current_user_type.upper() if self.current_user_type else 'Unknown'}
• **OAuth Status:** {'✅ Authenticated with real Dexcom account' if self.current_user_type == 'real' else '🎭 Using demo data for testing'}
            """

            chart = self.create_glucose_chart()
            
            return data_summary, chart

        except Exception as e:
            logger.error(f"Failed to load glucose data: {str(e)}")
            return f"Failed to load glucose data: {str(e)}", None

    def _sync_chat_with_data_manager(self):
        """Ensure chat uses the same data as the UI"""
        try:
            # Get context from unified data manager
            context = self.data_manager.get_context_for_agent()
            
            # Update chat's internal data to match
            if not context.get("error"):
                self.mistral_chat.current_user = self.data_manager.current_user
                self.mistral_chat.current_glucose_data = self.data_manager.processed_glucose_data
                self.mistral_chat.current_stats = self.data_manager.calculated_stats
                self.mistral_chat.current_patterns = self.data_manager.identified_patterns
                
                logger.info(f"Synced chat with data manager - TIR: {self.data_manager.calculated_stats.get('time_in_range_70_180', 0):.1f}%")
            
        except Exception as e:
            logger.error(f"Failed to sync chat with data manager: {e}")

    def _get_current_user_key(self) -> str:
        """Get the current user key"""
        if not self.data_manager.current_user:
            return ""
        
        # Find the key for current user
        for key, user in DEMO_USERS.items():
            if user == self.data_manager.current_user:
                return key
        return ""

    def get_template_prompts(self) -> List[str]:
        """Get template prompts based on current user data"""
        if not self.data_manager.current_user or not self.data_manager.calculated_stats:
            return [
                "What should I know about managing my diabetes?",
                "How can I improve my glucose control?"
            ]

        stats = self.data_manager.calculated_stats
        time_in_range = stats.get('time_in_range_70_180', 0)
        time_below_70 = stats.get('time_below_70', 0)

        templates = []

        if time_in_range < 70:
            templates.append(f"My time in range is {time_in_range:.1f}% which is below the 70% target. What specific strategies can help me improve it?")
        else:
            templates.append(f"My time in range is {time_in_range:.1f}% which meets the target. How can I maintain this level of control?")

        if time_below_70 > 4:
            templates.append(f"I'm experiencing {time_below_70:.1f}% time below 70 mg/dL. What can I do to prevent these low episodes?")
        else:
            templates.append("What are the best practices for preventing hypoglycemia in my situation?")

        # Add data source specific template
        if self.current_user_type == "real":
            templates.append("This is my real Dexcom data. What insights can you provide about my actual glucose patterns?")
        else:
            templates.append("Based on this demo data, what would you recommend for someone with similar patterns?")

        return templates

    def chat_with_mistral(self, message: str, history: List) -> Tuple[str, List]:
        """Handle chat interaction with Mistral using unified data"""
        if not message.strip():
            return "", history

        if not self.data_manager.current_user:
            response = "Please select a user first (demo or real Dexcom) to get personalized insights about glucose data."
            history.append([message, response])
            return "", history

        try:
            # Ensure chat is synced with latest data
            self._sync_chat_with_data_manager()
            
            # Send message to Mistral chat
            result = self.mistral_chat.chat_with_mistral(message)
            
            if result['success']:
                response = result['response']
                
                # Add data consistency note
                validation = self.data_manager.validate_data_consistency()
                if validation.get('valid'):
                    data_age = validation.get('data_age_minutes', 0)
                    if data_age > 10:  # Warn if data is old
                        response += f"\n\n📊 *Note: Analysis based on data from {data_age} minutes ago. Reload data for most current insights.*"
                
                # Add data source context
                data_type = "real Dexcom data" if self.current_user_type == "real" else "demo data"
                if self.current_user_type == "real":
                    response += f"\n\n🔐 *This analysis is based on your real Dexcom data from your authenticated account.*"
                else:
                    response += f"\n\n🎭 *This analysis is based on demo data for testing purposes.*"
                
                # Add context note if no user data was included
                if not result.get('context_included', True):
                    response += f"\n\n💡 *For more personalized advice, make sure your glucose data is loaded.*"
            else:
                response = f"I apologize, but I encountered an error: {result.get('error', 'Unknown error')}. Please try again or rephrase your question."

            history.append([message, response])
            return "", history

        except Exception as e:
            logger.error(f"Chat error: {str(e)}")
            error_response = f"I apologize, but I encountered an error while processing your question: {str(e)}. Please try rephrasing your question."
            history.append([message, error_response])
            return "", history

    def use_template_prompt(self, template_text: str) -> str:
        """Use a template prompt in the chat"""
        return template_text

    def clear_chat_history(self) -> List:
        """Clear chat history"""
        self.chat_history = []
        self.mistral_chat.clear_conversation()
        return []

    def create_glucose_chart(self) -> Optional[go.Figure]:
        """Create an interactive glucose chart using unified data"""
        chart_data = self.data_manager.get_chart_data()
        
        if chart_data is None or chart_data.empty:
            return None

        fig = go.Figure()

        # Color code based on glucose ranges
        colors = []
        for value in chart_data['value']:
            if value < 70:
                colors.append('#E74C3C')  # Red for low
            elif value > 180:
                colors.append('#F39C12')  # Orange for high
            else:
                colors.append('#27AE60')  # Green for in range

        fig.add_trace(go.Scatter(
            x=chart_data['systemTime'],
            y=chart_data['value'],
            mode='lines+markers',
            name='Glucose',
            line=dict(color='#2E86AB', width=2),
            marker=dict(size=4, color=colors),
            hovertemplate='<b>%{y} mg/dL</b><br>%{x}<extra></extra>'
        ))

        # Add target range shading
        fig.add_hrect(
            y0=70, y1=180,
            fillcolor="rgba(39, 174, 96, 0.1)",
            layer="below",
            line_width=0,
            annotation_text="Target Range",
            annotation_position="top left"
        )

        # Add reference lines
        fig.add_hline(y=70, line_dash="dash", line_color="#E67E22",
                     annotation_text="Low (70 mg/dL)", annotation_position="right")
        fig.add_hline(y=180, line_dash="dash", line_color="#E67E22",
                     annotation_text="High (180 mg/dL)", annotation_position="right")
        fig.add_hline(y=54, line_dash="dot", line_color="#E74C3C",
                     annotation_text="Severe Low (54 mg/dL)", annotation_position="right")
        fig.add_hline(y=250, line_dash="dot", line_color="#E74C3C",
                     annotation_text="Severe High (250 mg/dL)", annotation_position="right")

        # Get current stats for title
        stats = self.data_manager.get_stats_for_ui()
        tir = stats.get('time_in_range_70_180', 0)
        data_type = "REAL" if self.current_user_type == "real" else "DEMO"
        
        fig.update_layout(
            title={
                'text': f"14-Day Glucose Trends - {self.data_manager.current_user.name} ({data_type} DATA - TIR: {tir:.1f}%)",
                'x': 0.5,
                'xanchor': 'center'
            },
            xaxis_title="Time",
            yaxis_title="Glucose (mg/dL)",
            hovermode='x unified',
            height=500,
            showlegend=False,
            plot_bgcolor='rgba(0,0,0,0)',
            paper_bgcolor='rgba(0,0,0,0)',
            font=dict(size=12),
            margin=dict(l=60, r=60, t=80, b=60)
        )

        fig.update_xaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.2)')
        fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='rgba(128,128,128,0.2)')

        return fig


def create_interface():
    """Create the Gradio interface with demo users AND real OAuth"""
    app = GlucoBuddyApp()

    custom_css = """
    .main-header {
        text-align: center;
        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
        color: white;
        padding: 2rem;
        border-radius: 10px;
        margin-bottom: 2rem;
    }
    .load-data-section {
        background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%);
        border-radius: 15px;
        padding: 2rem;
        margin: 1.5rem 0;
        box-shadow: 0 8px 32px rgba(31, 38, 135, 0.37);
        backdrop-filter: blur(4px);
        border: 1px solid rgba(255, 255, 255, 0.18);
    }
    .prominent-button {
        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
        border: none !important;
        border-radius: 15px !important;
        padding: 1.5rem 3rem !important;
        font-size: 1.2rem !important;
        font-weight: bold !important;
        color: white !important;
        box-shadow: 0 8px 32px rgba(102, 126, 234, 0.4) !important;
        transition: all 0.3s ease !important;
        min-height: 80px !important;
        text-align: center !important;
    }
    .prominent-button:hover {
        transform: translateY(-2px) !important;
        box-shadow: 0 12px 40px rgba(102, 126, 234, 0.6) !important;
    }
    .real-oauth-button {
        background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%) !important;
        color: white !important;
        border: none !important;
        font-weight: bold !important;
    }
    """

    with gr.Blocks(
        title="GlycoAI - AI Glucose Insights",
        theme=gr.themes.Soft(),
        css=custom_css
    ) as interface:

        # Header
        with gr.Row():
            with gr.Column():
                gr.HTML("""
                <div class="main-header">
                    <div style="display: flex; align-items: center; justify-content: center; gap: 1rem;">
                        <div style="width: 60px; height: 60px; background: white; border-radius: 50%; display: flex; align-items: center; justify-content: center;">
                            <span style="color: #667eea; font-size: 24px; font-weight: bold;">🩺</span>
                        </div>
                        <div>
                            <h1 style="margin: 0; font-size: 2.5rem; color: white;">GlycoAI</h1>
                            <p style="margin: 0; font-size: 1.2rem; color: white; opacity: 0.9;">AI-Powered Glucose Chatbot</p>
                        </div>
                    </div>
                    <p style="margin-top: 1rem; font-size: 1rem; color: white; opacity: 0.8;">
                        Connect your Dexcom CGM data OR try demo users and chat with AI for personalized glucose insights
                    </p>
                </div>
                """)

        # User Selection Section
        with gr.Row():
            with gr.Column():
                gr.Markdown("### 👥 Choose Your Data Source")
                gr.Markdown("Select demo users for instant testing OR authenticate with your real Dexcom account")

                # Demo Users Section
                with gr.Group():
                    gr.Markdown("#### 🎭 Demo Users (Instant Access)")
                    gr.Markdown("*Realistic demo data for testing GlycoAI's capabilities*")

                    with gr.Row():
                        sarah_btn = gr.Button(
                            "Sarah Thompson\n(G7 Mobile - Stable Control)",
                            variant="secondary",
                            size="lg"
                        )
                        marcus_btn = gr.Button(
                            "Marcus Rodriguez\n(ONE+ Mobile - Type 2)",
                            variant="secondary",
                            size="lg"
                        )
                        jennifer_btn = gr.Button(
                            "Jennifer Chen\n(G6 Mobile - Athletic)",
                            variant="secondary",
                            size="lg"
                        )
                        robert_btn = gr.Button(
                            "Robert Williams\n(G6 Receiver - Experienced)",
                            variant="secondary",
                            size="lg"
                        )

                # Real OAuth Section (if available)
                if REAL_OAUTH_AVAILABLE:
                    with gr.Group():
                        gr.Markdown("#### 🔐 Real Dexcom Authentication")
                        gr.Markdown("*Connect your actual Dexcom account for live glucose data analysis*")
                        
                        with gr.Row():
                            real_oauth_btn = gr.Button(
                                "🚀 Connect Real Dexcom Account\n(OAuth Authentication)",
                                variant="primary",
                                size="lg",
                                elem_classes=["real-oauth-button"]
                            )
                        
                        oauth_instructions = gr.Markdown(
                            "Click above to start real Dexcom authentication",
                            visible=True
                        )
                        
                        with gr.Row():
                            auth_code_input = gr.Textbox(
                                label="Authorization Code (from callback URL after 404 error)",
                                placeholder="ABC123XYZ... (just the code part, not the full URL)",
                                lines=2,
                                visible=False
                            )
                            complete_oauth_btn = gr.Button(
                                "✅ Complete OAuth",
                                variant="primary",
                                visible=False
                            )
                else:
                    with gr.Group():
                        gr.Markdown("#### 🔒 Real Dexcom Authentication (Unavailable)")
                        gr.Markdown("*Real OAuth is not configured. Please check your setup.*")
                        
                        gr.Button(
                            "🔒 Real OAuth Not Available\n(Check Configuration)",
                            variant="secondary",
                            size="lg",
                            interactive=False
                        )
                        
                        # Create dummy variables for consistency
                        oauth_instructions = gr.Markdown("Real OAuth not available")
                        auth_code_input = gr.Textbox(visible=False)
                        complete_oauth_btn = gr.Button(visible=False)

        # Connection Status
        with gr.Row():
            connection_status = gr.Textbox(
                label="Current User",
                value="No user selected",
                interactive=False,
                container=True
            )

        # Section Divider
        gr.HTML('<div style="height: 2px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border-radius: 1px; margin: 2rem 0;"></div>')

        # PROMINENT CENTRALIZED DATA LOADING SECTION
        with gr.Group(visible=False) as main_interface:
            # PROMINENT LOAD BUTTON - Centered and Large
            with gr.Row():
                with gr.Column(scale=1):
                    pass  # Left spacer
                with gr.Column(scale=2):
                    load_data_btn = gr.Button(
                        "🚀 LOAD 14-DAY GLUCOSE DATA\n📈 Start Analysis & Enable AI Chat",
                        elem_classes=["prominent-button"],
                        size="lg"
                    )
                with gr.Column(scale=1):
                    pass  # Right spacer

            # Section Divider
            gr.HTML('<div style="height: 2px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border-radius: 1px; margin: 2rem 0;"></div>')

            # Main Content Tabs
            with gr.Tabs():

                # Glucose Chart Tab
                with gr.TabItem("📈 Glucose Chart"):
                    with gr.Column():
                        gr.Markdown("### 📊 Interactive 14-Day Glucose Analysis")
                        gr.Markdown("*Load your data using the button above to see your comprehensive glucose trends*")
                        
                        glucose_chart = gr.Plot(
                            label="Interactive 14-Day Glucose Trends",
                            container=True
                        )

                # Chat Tab
                with gr.TabItem("💬 Chat with AI"):
                    with gr.Column():
                        gr.Markdown("### 🤖 Chat with GlycoAI about your glucose data")
                        gr.Markdown("*📊 Load your data using the button above to enable personalized AI insights*")
                        
                        # Template Prompts
                        with gr.Row():
                            with gr.Column():
                                gr.Markdown("**💡 Quick Start Templates:**")
                                with gr.Row():
                                    template1_btn = gr.Button(
                                        "🎯 Analyze My 14-Day Patterns",
                                        variant="secondary",
                                        size="sm"
                                    )
                                    template2_btn = gr.Button(
                                        "⚡ Improve My Control",
                                        variant="secondary",
                                        size="sm"
                                    )
                                    template3_btn = gr.Button(
                                        "🍽️ Meal Management Tips",
                                        variant="secondary",
                                        size="sm"
                                    )

                        # Chat Interface
                        chatbot = gr.Chatbot(
                            label="💬 Chat with GlycoAI (Demo + Real Data)",
                            height=500,
                            show_label=True,
                            container=True,
                            bubble_full_width=False,
                            avatar_images=(None, "🩺")
                        )

                        # Chat Input
                        with gr.Row():
                            chat_input = gr.Textbox(
                                placeholder="Ask me about your glucose patterns, trends, or management strategies...",
                                label="Your Question",
                                lines=2,
                                scale=4
                            )
                            send_btn = gr.Button(
                                "Send 💬",
                                variant="primary",
                                scale=1
                            )

                        # Chat Controls
                        with gr.Row():
                            clear_chat_btn = gr.Button(
                                "🗑️ Clear Chat",
                                variant="secondary",
                                size="sm"
                            )
                            gr.Markdown("*AI responses are for informational purposes only. Always consult your healthcare provider.*")

                # Data Overview Tab
                with gr.TabItem("📋 Data Overview"):
                    with gr.Column():
                        gr.Markdown("### 📋 Comprehensive Data Analysis")
                        gr.Markdown("*Load your data using the button above to see detailed glucose statistics*")
                        
                        data_display = gr.Markdown("Click 'Load 14-Day Glucose Data' above to see your comprehensive analysis", container=True)

        # Event Handlers
        def handle_demo_user_selection(user_key):
            status, interface_visibility = app.select_demo_user(user_key)
            return status, interface_visibility, []

        def handle_load_data():
            overview, chart = app.load_glucose_data()
            return overview, chart

        def get_template_prompt(template_type):
            templates = app.get_template_prompts()
            if template_type == 1:
                return templates[0] if templates else "Can you analyze my recent glucose patterns and give me insights?"
            elif template_type == 2:
                return templates[1] if len(templates) > 1 else "What can I do to improve my diabetes management based on my data?"
            else:
                return "What are some meal management strategies for better glucose control?"

        def handle_chat_submit(message, history):
            return app.chat_with_mistral(message, history)

        def handle_enter_key(message, history):
            if message.strip():
                return app.chat_with_mistral(message, history)
            return "", history

        # Connect Event Handlers for Demo Users
        sarah_btn.click(
            lambda: handle_demo_user_selection("sarah_g7"),
            outputs=[connection_status, main_interface, chatbot]
        )

        marcus_btn.click(
            lambda: handle_demo_user_selection("marcus_one"),
            outputs=[connection_status, main_interface, chatbot]
        )

        jennifer_btn.click(
            lambda: handle_demo_user_selection("jennifer_g6"),
            outputs=[connection_status, main_interface, chatbot]
        )

        robert_btn.click(
            lambda: handle_demo_user_selection("robert_receiver"),
            outputs=[connection_status, main_interface, chatbot]
        )

        # Connect Event Handlers for Real OAuth (if available)
        if REAL_OAUTH_AVAILABLE:
            real_oauth_btn.click(
                app.start_real_oauth,
                outputs=[oauth_instructions]
            ).then(
                lambda: (gr.update(visible=True), gr.update(visible=True)),
                outputs=[auth_code_input, complete_oauth_btn]
            )

            complete_oauth_btn.click(
                app.complete_real_oauth,
                inputs=[auth_code_input],
                outputs=[connection_status, main_interface]
            ).then(
                lambda: [],  # Clear chatbot
                outputs=[chatbot]
            )

        # PROMINENT DATA LOADING - Single button updates all views
        load_data_btn.click(
            handle_load_data,
            outputs=[data_display, glucose_chart]
        )

        # Chat Handlers
        send_btn.click(
            handle_chat_submit,
            inputs=[chat_input, chatbot],
            outputs=[chat_input, chatbot]
        )

        chat_input.submit(
            handle_enter_key,
            inputs=[chat_input, chatbot],
            outputs=[chat_input, chatbot]
        )

        # Template Button Handlers
        template1_btn.click(
            lambda: get_template_prompt(1),
            outputs=[chat_input]
        )

        template2_btn.click(
            lambda: get_template_prompt(2),
            outputs=[chat_input]
        )

        template3_btn.click(
            lambda: get_template_prompt(3),
            outputs=[chat_input]
        )

        # Clear Chat
        clear_chat_btn.click(
            app.clear_chat_history,
            outputs=[chatbot]
        )

        # Footer
        with gr.Row():
            gr.HTML(f"""
            <div style="text-align: center; padding: 2rem; margin-top: 2rem; border-top: 1px solid #dee2e6; color: #6c757d;">
                <p><strong>⚠️ Important Medical Disclaimer</strong></p>
                <p>GlycoAI is for informational and educational purposes only. Always consult your healthcare provider 
                before making any changes to your diabetes management plan. This tool does not replace professional medical advice.</p>
                <p style="margin-top: 1rem; font-size: 0.9rem;">
                    🔒 Your data is processed securely and not stored permanently. 
                    💡 Powered by Dexcom API integration and Mistral AI.<br>
                    {"🎭 Demo data available instantly • 🔐 Real OAuth: " + ("Available" if REAL_OAUTH_AVAILABLE else "Not configured")}
                </p>
            </div>
            """)

    return interface


def main():
    """Main function to launch the application"""
    print("🚀 Starting GlycoAI - AI-Powered Glucose Insights (Demo + Real OAuth)...")
    
    # Check OAuth availability
    oauth_status = "✅ Available" if REAL_OAUTH_AVAILABLE else "❌ Not configured"
    print(f"🔐 Real Dexcom OAuth: {oauth_status}")
    
    # Validate environment before starting
    print("🔍 Validating environment configuration...")
    if not validate_environment():
        print("❌ Environment validation failed!")
        print("Please check your .env file or environment variables.")
        return
    
    print("✅ Environment validation passed!")
    
    try:
        # Create and launch the interface
        demo = create_interface()
        
        print("🎯 GlycoAI is starting with enhanced features...")
        print("📊 Features: Demo users + Real OAuth, unified data management, consistent metrics")
        print("🎭 Demo users: 4 realistic profiles for instant testing")
        if REAL_OAUTH_AVAILABLE:
            print("🔐 Real OAuth: Available - connect your actual Dexcom account")
        else:
            print("🔒 Real OAuth: Not configured - demo users only")
        
        # Launch with custom settings
        demo.launch(
            server_name="0.0.0.0",  # Allow external access
            server_port=7860,       # Your port
            share=True,            # Set to True for public sharing (tunneling)
            debug=os.getenv("DEBUG", "false").lower() == "true",
            show_error=True,        # Show errors in the interface
            auth=None,              # No authentication required
            favicon_path=None,      # Use default favicon
            ssl_verify=False        # Disable SSL verification for development
        )
        
    except Exception as e:
        logger.error(f"Failed to launch GlycoAI application: {e}")
        print(f"❌ Error launching application: {e}")
        
        # Provide helpful error information
        if "environment" in str(e).lower():
            print("\n💡 Environment troubleshooting:")
            print("1. Check if .env file exists with MISTRAL_API_KEY")
            print("2. Verify your API key is valid")
            print("3. For Hugging Face Spaces, check Repository secrets")
        else:
            print("\n💡 Try checking:")
            print("1. All dependencies are installed: pip install -r requirements.txt")
            print("2. Port 7860 is available")
            print("3. Check the logs above for specific error details")
        
        raise


if __name__ == "__main__":
    # Setup logging configuration
    log_level = os.getenv("LOG_LEVEL", "INFO")
    logging.basicConfig(
        level=getattr(logging, log_level.upper()),
        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
        handlers=[
            logging.FileHandler('glycoai.log'),
            logging.StreamHandler()
        ]
    )
    
    # Run the main application
    main()