app2.py

"""
Advanced URL & Text Processing Suite - Professional Edition
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Enterprise-grade application with advanced features, real-time analytics,
parallel processing, and sophisticated UI components.
"""

import gradio as gr
import logging
import json
import os
import sys
import threading
import queue
import time
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Optional, Union, Any, Tuple
from dataclasses import dataclass, asdict
import numpy as np
import pandas as pd
# Configure advanced logging with rotation
from logging.handlers import RotatingFileHandler
log_handler = RotatingFileHandler(
    'urld_pro.log',
    maxBytes=10*1024*1024,  # 10MB
    backupCount=5
)
log_handler.setFormatter(
    logging.Formatter('%(asctime)s.%(msecs)03d [%(levelname)s] %(name)s - %(message)s')
)
logger = logging.getLogger(__name__)
logger.addHandler(log_handler)
logger.setLevel(logging.INFO)

# Advanced Theme Configuration
THEME = gr.themes.Soft(
    primary_hue=gr.themes.colors.indigo,
    secondary_hue=gr.themes.colors.blue,
    neutral_hue=gr.themes.colors.slate,
    spacing_size=gr.themes.sizes.spacing_lg,
    radius_size=gr.themes.sizes.radius_lg,
    text_size=gr.themes.sizes.text_lg,
).set(
    body_background_fill="*background_fill_secondary",
    button_primary_background_fill="*primary_500",
    button_primary_background_fill_hover="*primary_600",
    button_primary_text_color="white",
    button_primary_border_color="*primary_500",
    button_secondary_background_fill="*secondary_500",
    button_secondary_background_fill_hover="*secondary_600",
    button_secondary_text_color="white",
    button_secondary_border_color="*secondary_500",
)

# Enhanced CSS with advanced animations and modern design
CUSTOM_CSS = """
@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap');

:root {
    --primary-color: #4f46e5;
    --secondary-color: #2563eb;
    --success-color: #059669;
    --error-color: #dc2626;
    --warning-color: #d97706;
    --info-color: #2563eb;
}

body {
    font-family: 'Inter', sans-serif;
}

.container {
    max-width: 1400px !important;
    margin: auto !important;
    padding: 2rem !important;
}

.pro-header {
    text-align: center;
    margin-bottom: 2rem;
    padding: 2rem;
    background: linear-gradient(135deg, var(--primary-color) 0%, var(--secondary-color) 100%);
    border-radius: 1rem;
    color: white;
    box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1);
}

.pro-header h1 {
    font-size: 2.5rem;
    font-weight: 700;
    margin-bottom: 1rem;
}

.pro-header p {
    font-size: 1.25rem;
    opacity: 0.9;
}

.dashboard {
    display: grid;
    grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
    gap: 1rem;
    margin-bottom: 2rem;
}

.stat-card {
    background: white;
    padding: 1.5rem;
    border-radius: 1rem;
    box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1);
    transition: transform 0.2s ease;
}

.stat-card:hover {
    transform: translateY(-2px);
}

.chart-container {
    background: white;
    padding: 1rem;
    border-radius: 1rem;
    box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1);
    margin-bottom: 1rem;
}

.pro-tab {
    transition: all 0.3s ease;
}

.pro-tab:hover {
    transform: translateY(-1px);
}

.pro-button {
    transition: all 0.2s ease;
}

.pro-button:hover {
    transform: translateY(-1px);
    box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1);
}

.pro-button:active {
    transform: translateY(0);
}

.status-message {
    padding: 1rem;
    border-radius: 0.5rem;
    margin: 1rem 0;
    animation: slideIn 0.3s ease;
}

.status-message.success {
    background: #ecfdf5;
    border: 1px solid var(--success-color);
    color: var(--success-color);
}

.status-message.error {
    background: #fef2f2;
    border: 1px solid var(--error-color);
    color: var(--error-color);
}

.status-message.warning {
    background: #fffbeb;
    border: 1px solid var(--warning-color);
    color: var(--warning-color);
}

@keyframes slideIn {
    from {
        opacity: 0;
        transform: translateY(-10px);
    }
    to {
        opacity: 1;
        transform: translateY(0);
    }
}

.loading {
    position: relative;
}

.loading::after {
    content: '';
    position: absolute;
    top: 0;
    left: 0;
    width: 100%;
    height: 100%;
    background: linear-gradient(
        90deg,
        rgba(255,255,255,0) 0%,
        rgba(255,255,255,0.2) 50%,
        rgba(255,255,255,0) 100%
    );
    animation: shimmer 1.5s infinite;
}

@keyframes shimmer {
    0% {
        transform: translateX(-100%);
    }
    100% {
        transform: translateX(100%);
    }
}

.pro-footer {
    text-align: center;
    margin-top: 3rem;
    padding: 2rem;
    background: #f8fafc;
    border-radius: 1rem;
    box-shadow: 0 -1px 3px 0 rgb(0 0 0 / 0.1);
}
"""

@dataclass
class ProcessingStats:
    """Data class for tracking processing statistics"""
    total_urls: int = 0
    successful_urls: int = 0
    failed_urls: int = 0
    total_files: int = 0
    successful_files: int = 0
    failed_files: int = 0
    total_qr_codes: int = 0
    successful_qr_codes: int = 0
    failed_qr_codes: int = 0
    processing_time: float = 0.0
    last_updated: str = datetime.now().isoformat()

class AdvancedProInterface:
    """Professional interface with advanced features and real-time analytics"""
    
    def __init__(self):
        """Initialize the professional interface with advanced components"""
        self.url_processor = URLProcessor()
        self.file_processor = FileProcessor()
        self.qr_processor = QRProcessor()
        self.stats = ProcessingStats()
        self.processing_queue = queue.Queue()
        self.thread_pool = ThreadPoolExecutor(max_workers=10)
        self.process_pool = ProcessPoolExecutor(max_workers=4)
        self.processing_history: List[Dict] = []
        
        # Initialize real-time monitoring
        self._start_monitoring()
    
    def _start_monitoring(self):
        """Start background monitoring thread"""
        def monitor():
            while True:
                try:
                    # Update statistics
                    self.stats.last_updated = datetime.now().isoformat()
                    
                    # Process queued items
                    while not self.processing_queue.empty():
                        item = self.processing_queue.get_nowait()
                        self._process_queued_item(item)
                    
                    time.sleep(1)
                except Exception as e:
                    logger.error(f"Monitoring error: {e}")
        
        threading.Thread(target=monitor, daemon=True).start()
    
    def _process_queued_item(self, item: Dict):
        """Process queued items with advanced error handling"""
        try:
            item_type = item.get('type')
            if item_type == 'url':
                self._process_url_item(item)
            elif item_type == 'file':
                self._process_file_item(item)
            elif item_type == 'qr':
                self._process_qr_item(item)
        except Exception as e:
            logger.error(f"Queue processing error: {e}")
    
    def _process_url_item(self, item: Dict):
        """Process URL items with advanced features"""
        try:
            start_time = time.time()
            results = self.url_processor.process_urls([item['url']], mode=item['mode'])
            processing_time = time.time() - start_time
            
            self.stats.total_urls += 1
            if any('error' in r for r in results):
                self.stats.failed_urls += 1
            else:
                self.stats.successful_urls += 1
            
            self.stats.processing_time += processing_time
            
            # Update history
            self.processing_history.append({
                'timestamp': datetime.now().isoformat(),
                'type': 'url',
                'url': item['url'],
                'results': results,
                'processing_time': processing_time
            })
        except Exception as e:
            logger.error(f"URL processing error: {e}")
            self.stats.failed_urls += 1
    
    async def process_urls_parallel(self, urls: str, mode: str) -> Tuple[str, str, str, Dict]:
        """Process URLs in parallel with advanced features"""
        try:
            url_list = [url.strip() for url in urls.split('\n') if url.strip()]
            
            if not url_list:
                return "", "⚠️ No valid URLs provided", "", {}
            
            start_time = time.time()
            
            # Process URLs in parallel
            futures = []
            for url in url_list:
                future = self.thread_pool.submit(
                    self.url_processor.process_urls,
                    [url],
                    mode=mode
                )
                futures.append(future)
            
            # Collect results
            results = []
            for future in futures:
                try:
                    result = future.result(timeout=30)
                    results.extend(result)
                except Exception as e:
                    logger.error(f"URL processing error: {e}")
                    results.append({
                        'error': str(e),
                        'timestamp': datetime.now().isoformat()
                    })
            
            processing_time = time.time() - start_time
            
            # Update statistics
            self.stats.total_urls += len(url_list)
            self.stats.successful_urls += len([r for r in results if 'error' not in r])
            self.stats.failed_urls += len([r for r in results if 'error' in r])
            self.stats.processing_time += processing_time
            
            # Generate analytics
            analytics = self._generate_analytics(results, processing_time)
            
            # Format output
            formatted_results = json.dumps(results, indent=2)
            summary = self._generate_summary(results)
            
            return (
                formatted_results,
                f"✅ Processed {len(url_list)} URLs in {processing_time:.2f}s",
                summary,
                analytics
            )
            
        except Exception as e:
            logger.error(f"Parallel processing error: {e}")
            return "", f"❌ Error: {str(e)}", "", {}
    
    def _generate_analytics(self, results: List[Dict], processing_time: float) -> Dict:
        """Generate detailed analytics from processing results"""
        analytics = {
            'processing_time': processing_time,
            'total_items': len(results),
            'success_rate': len([r for r in results if 'error' not in r]) / len(results) if results else 0,
            'error_rate': len([r for r in results if 'error' in r]) / len(results) if results else 0,
            'average_time_per_item': processing_time / len(results) if results else 0,
            'timestamp': datetime.now().isoformat()
        }
        
        # Add historical trends
        if self.processing_history:
            historical_success_rates = [
                len([r for r in h['results'] if 'error' not in r]) / len(h['results'])
                for h in self.processing_history[-10:]  # Last 10 operations
            ]
            analytics['historical_success_rate'] = sum(historical_success_rates) / len(historical_success_rates)
        
        return analytics
    
    def create_interface(self) -> gr.Blocks:
        """Create an advanced professional interface with real-time analytics"""
        
        with gr.Blocks(theme=THEME, css=CUSTOM_CSS) as interface:
            # Professional Header
            gr.Markdown(
                """
                <div class="pro-header">
                    <h1>🌐 Advanced URL & Text Processing Suite - Pro</h1>
                    <p>Enterprise-grade toolkit with advanced features and real-time analytics</p>
                </div>
                """
            )
            
            # Real-time Dashboard
            with gr.Row(elem_classes="dashboard"):
                with gr.Column(elem_classes="stat-card"):
                    url_stats = gr.JSON(
                        value={
                            "Total URLs": 0,
                            "Success Rate": "0%",
                            "Avg. Processing Time": "0ms"
                        },
                        label="URL Processing Stats"
                    )
                
                with gr.Column(elem_classes="stat-card"):
                    file_stats = gr.JSON(
                        value={
                            "Total Files": 0,
                            "Success Rate": "0%",
                            "Avg. Processing Time": "0ms"
                        },
                        label="File Processing Stats"
                    )
                
                with gr.Column(elem_classes="stat-card"):
                    qr_stats = gr.JSON(
                        value={
                            "Total QR Codes": 0,
                            "Success Rate": "0%",
                            "Avg. Processing Time": "0ms"
                        },
                        label="QR Code Stats"
                    )
            
            # Main Interface Tabs
            with gr.Tabs() as tabs:
                # Advanced URL Processing Tab
                with gr.Tab("🔗 URL Processing", elem_classes="pro-tab"):
                    with gr.Row():
                        with gr.Column(scale=2):
                            url_input = gr.Textbox(
                                label="URLs",
                                placeholder="Enter URLs (one per line)",
                                lines=5
                            )
                            
                            with gr.Row():
                                mode = gr.Radio(
                                    choices=["basic", "interactive", "deep"],
                                    value="basic",
                                    label="Processing Mode"
                                )
                                parallel = gr.Checkbox(
                                    label="Enable Parallel Processing",
                                    value=True
                                )
                            
                            with gr.Row():
                                process_btn = gr.Button(
                                    "🚀 Process URLs",
                                    elem_classes="pro-button"
                                )
                                clear_btn = gr.Button(
                                    "🗑️ Clear",
                                    elem_classes="pro-button"
                                )
                        
                        with gr.Column(scale=1):
                            gr.Markdown(
                                """
                                ### 📊 Processing Modes
                                
                                #### Basic Mode
                                - Fast content retrieval
                                - Basic metadata extraction
                                - Suitable for simple URLs
                                
                                #### Interactive Mode
                                - Handles JavaScript-rendered content
                                - Social media support
                                - Advanced rate limiting
                                
                                #### Deep Mode
                                - Full content analysis
                                - Link following
                                - Comprehensive metadata
                                """
                            )
                    
                    with gr.Row():
                        status_output = gr.Textbox(
                            label="Status",
                            interactive=False
                        )
                    
                    with gr.Tabs():
                        with gr.Tab("Results"):
                            json_output = gr.JSON(
                                label="Detailed Results"
                            )
                        
                        with gr.Tab("Summary"):
                            summary_output = gr.Textbox(
                                label="Processing Summary",
                                interactive=False,
                                lines=10
                            )
                        
                        with gr.Tab("Analytics"):
                            analytics_output = gr.Plot(
                                label="Processing Analytics"
                            )
                
                # Advanced File Processing Tab
                with gr.Tab("📁 File Processing", elem_classes="pro-tab"):
                    with gr.Row():
                        with gr.Column(scale=2):
                            file_input = gr.File(
                                label="Upload Files",
                                file_types=[
                                    ".txt", ".pdf", ".doc", ".docx",
                                    ".zip", ".tar.gz", ".jpg", ".png"
                                ],
                                multiple=True
                            )
                            
                            with gr.Row():
                                process_file_btn = gr.Button(
                                    "📥 Process Files",
                                    elem_classes="pro-button"
                                )
                                batch_size = gr.Slider(
                                    minimum=1,
                                    maximum=10,
                                    value=3,
                                    step=1,
                                    label="Batch Size"
                                )
                        
                        with gr.Column(scale=1):
                            gr.Markdown(
                                """
                                ### 📑 Supported Formats
                                
                                #### Documents
                                - PDF files (.pdf)
                                - Word documents (.doc, .docx)
                                - Text files (.txt)
                                
                                #### Archives
                                - ZIP archives (.zip)
                                - TAR archives (.tar.gz)
                                
                                #### Media
                                - Images (.jpg, .png)
                                - And more...
                                """
                            )
                    
                    with gr.Row():
                        file_status = gr.Textbox(
                            label="Status",
                            interactive=False
                        )
                    
                    with gr.Tabs():
                        with gr.Tab("Results"):
                            file_output = gr.File(
                                label="Processed Files"
                            )
                        
                        with gr.Tab("Details"):
                            file_json_output = gr.JSON(
                                label="Processing Details"
                            )
                        
                        with gr.Tab("Analytics"):
                            file_analytics = gr.Plot(
                                label="File Processing Analytics"
                            )
                
                # Advanced QR Code Tab
                with gr.Tab("📱 QR Code", elem_classes="pro-tab"):
                    with gr.Row():
                        with gr.Column(scale=2):
                            qr_input = gr.Textbox(
                                label="Data",
                                placeholder="Enter data to encode",
                                lines=3
                            )
                            
                            with gr.Row():
                                qr_size = gr.Slider(
                                    minimum=5,
                                    maximum=50,
                                    value=10,
                                    step=1,
                                    label="QR Code Size"
                                )
                                qr_correction = gr.Dropdown(
                                    choices=["L", "M", "Q", "H"],
                                    value="M",
                                    label="Error Correction"
                                )
                            
                            with gr.Row():
                                generate_qr_btn = gr.Button(
                                    "✨ Generate QR",
                                    elem_classes="pro-button"
                                )
                                customize_btn = gr.Button(
                                    "🎨 Customize",
                                    elem_classes="pro-button"
                                )
                        
                        with gr.Column(scale=1):
                            qr_output = gr.Image(
                                label="Generated QR Code"
                            )
                            qr_status = gr.Textbox(
                                label="Status",
                                interactive=False
                            )
            
            # Professional Footer
            gr.Markdown(
                """
                <div class="pro-footer">
                    <p>Advanced URL & Text Processing Suite - Professional Edition</p>
                    <p style="font-size: 0.9rem;">Version 1.0.0 Pro | © 2024 Advanced URL Processing Team</p>
                </div>
                """
            )
            
            # Event Handlers
            process_btn.click(
                fn=self.process_urls_parallel,
                inputs=[url_input, mode],
                outputs=[
                    json_output,
                    status_output,
                    summary_output,
                    analytics_output
                ]
            )
            
            clear_btn.click(
                fn=lambda: ("", "", "", None),
                inputs=[],
                outputs=[
                    url_input,
                    status_output,
                    summary_output,
                    analytics_output
                ]
            )
            
            process_file_btn.click(
                fn=self.process_file,
                inputs=[file_input],
                outputs=[
                    file_json_output,
                    file_status,
                    file_output
                ]
            )
            
            generate_qr_btn.click(
                fn=self.generate_qr,
                inputs=[qr_input, qr_size],
                outputs=[qr_output, qr_status]
            )
            
            # Update statistics periodically
            gr.Markdown.update(every=5)
        
        return interface

def main():
    """Main entry point with advanced error handling"""
    try:
        # Initialize interface
        app = AdvancedProInterface()
        interface = app.create_interface()
        
        # Launch with professional configuration
        interface.launch(
            server_name="0.0.0.0",
            server_port=8000,
            share=False,
            debug=True,
            enable_queue=True,
            max_threads=40,
            auth=None,  # Add authentication if needed
            ssl_keyfile=None,  # Add SSL if needed
            ssl_certfile=None
        )
    except Exception as e:
        logger.error(f"Application startup error: {e}", exc_info=True)
        sys.exit(1)

if __name__ == "__main__":
    main()