import gradio as gr
import pandas as pd
from scrape.trendyol_scraper import scrape_reviews
from scripts.review_summarizer import ReviewAnalyzer
import plotly.express as px
import plotly.graph_objects as go
import os
import subprocess
import logging

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

def setup_chrome():
    """Chrome ve ChromeDriver kurulumu"""
    try:
        # Chrome kurulumu komutları
        commands = [
            'apt-get update',
            'apt-get install -y wget unzip',
            'wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add -',
            'echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google-chrome.list',
            'apt-get update',
            'apt-get install -y google-chrome-stable'
        ]
        
        for cmd in commands:
            logger.info(f"Executing: {cmd}")
            result = os.system(cmd)
            if result != 0:
                logger.error(f"Command failed: {cmd}")
                raise Exception(f"Command failed: {cmd}")
        
        # ChromeDriver kurulumu
        chrome_version = subprocess.check_output(['google-chrome', '--version']).decode().strip().split()[2].split('.')[0]
        logger.info(f"Detected Chrome version: {chrome_version}")
        
        driver_commands = [
            f'wget -q "https://chromedriver.storage.googleapis.com/LATEST_RELEASE_{chrome_version}" -O chrome_version',
            f'wget -q "https://chromedriver.storage.googleapis.com/$(cat chrome_version)/chromedriver_linux64.zip"',
            'unzip chromedriver_linux64.zip',
            'mv chromedriver /usr/local/bin/',
            'chmod +x /usr/local/bin/chromedriver'
        ]
        
        for cmd in driver_commands:
            logger.info(f"Executing: {cmd}")
            result = os.system(cmd)
            if result != 0:
                logger.error(f"Command failed: {cmd}")
                raise Exception(f"Command failed: {cmd}")
        
        logger.info("Chrome ve ChromeDriver başarıyla kuruldu!")
        
    except Exception as e:
        logger.error(f"Chrome kurulumunda hata: {str(e)}")
        raise

class ReviewAnalysisApp:
    def __init__(self):
        try:
            setup_chrome()  # Uygulama başlatılırken Chrome'u kur
            self.analyzer = ReviewAnalyzer()
        except Exception as e:
            print(f"Uygulama başlatılırken hata: {str(e)}")
        
    def analyze_url(self, url):
        try:
            if not url or not url.startswith("https://www.trendyol.com/"):
                return "Lütfen geçerli bir Trendyol ürün yorumları URL'si girin.", None, None, None
            
            print("Yorumlar çekiliyor...")
            df = scrape_reviews(url)
            
            if df.empty:
                return "Yorumlar çekilemedi. Lütfen URL'yi kontrol edin.", None, None, None
            
            print("Sentiment analizi yapılıyor...")
            analyzed_df = self.analyzer.analyze_reviews(df)
            
            print("Özet oluşturuluyor...")
            summary = self.analyzer.generate_summary(analyzed_df)
            
            print("Grafikler oluşturuluyor...")
            fig1 = self.create_sentiment_distribution(analyzed_df)
            fig2 = self.create_rating_distribution(analyzed_df)
            fig3 = self.create_sentiment_by_rating(analyzed_df)
            
            return summary, fig1, fig2, fig3
            
        except Exception as e:
            error_msg = f"Analiz sırasında hata oluştu: {str(e)}"
            print(error_msg)
            return error_msg, None, None, None
    
    def create_sentiment_distribution(self, df):
        fig = px.pie(df, 
                    names='sentiment_label', 
                    title='Duygu Analizi Dağılımı')
        return fig
    
    def create_rating_distribution(self, df):
        fig = px.bar(df['Yıldız Sayısı'].value_counts().sort_index(), 
                    title='Yıldız Dağılımı')
        fig.update_layout(xaxis_title='Yıldız Sayısı', 
                         yaxis_title='Yorum Sayısı')
        return fig
    
    def create_sentiment_by_rating(self, df):
        avg_sentiment = df.groupby('Yıldız Sayısı')['sentiment_score'].mean()
        fig = px.line(avg_sentiment, 
                     title='Yıldız Sayısına Göre Ortalama Sentiment Skoru')
        fig.update_layout(xaxis_title='Yıldız Sayısı', 
                         yaxis_title='Ortalama Sentiment Skoru')
        return fig

def create_interface():
    app = ReviewAnalysisApp()
    
    with gr.Blocks(theme=gr.themes.Soft()) as interface:
        gr.Markdown("# Trendyol Yorum Analizi")
        
        with gr.Row():
            url_input = gr.Textbox(
                label="Trendyol Ürün Yorumları URL'si",
                placeholder="https://www.trendyol.com/..."
            )
        
        analyze_btn = gr.Button("Analiz Et")
        
        with gr.Row():
            with gr.Column(scale=1):
                summary_output = gr.Textbox(
                    label="Özet",
                    lines=10
                )
            
            with gr.Column(scale=2):
                with gr.Tab("Duygu Analizi"):
                    sentiment_dist = gr.Plot()
                with gr.Tab("Yıldız Dağılımı"):
                    rating_dist = gr.Plot()
                with gr.Tab("Sentiment-Yıldız İlişkisi"):
                    sentiment_rating = gr.Plot()
        
        analyze_btn.click(
            fn=app.analyze_url,
            inputs=[url_input],
            outputs=[summary_output, sentiment_dist, rating_dist, sentiment_rating]
        )
    
    return interface

if __name__ == "__main__":
    interface = create_interface()
    interface.launch()