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import requests
from bs4 import BeautifulSoup
import pandas as pd
import gradio as gr
import time
import os
import json
import PyPDF2
import io
import asyncio
import aiohttp
import aiofiles
import re
from datetime import datetime
import base64
import zipfile

# πŸ§™β€β™‚οΈ Magical Utility Functions πŸ§™β€β™‚οΈ

def safe_filename(title):
    """Convert a string to a safe filename. No more 'file not found' nightmares! πŸ™…β€β™‚οΈπŸ“"""
    return re.sub(r'[^\w\-_\. ]', '_', title)

def create_timestamp_directory():
    """Create a directory named with the current date and time. It's like a time capsule for your downloads! πŸ—“οΈπŸ“¦"""
    date_str = datetime.now().strftime("%m-%d-%Y-%H-%M")
    os.makedirs(date_str, exist_ok=True)
    return date_str

def get_base64_download_link(file_path, filename):
    """Create a base64 download link for a binary file. It's like teleportation for your files! πŸŒŸπŸ“²"""
    with open(file_path, "rb") as f:
        content = f.read()
    b64 = base64.b64encode(content).decode()
    return f'<a href="data:application/zip;base64,{b64}" download="{filename}">Download {filename}</a>'

# 🎬 Animated Banner Messages 🎬
def animated_banner(message, emoji):
    """Create an animated banner message. It's like a tiny parade for your console! πŸŽ‰πŸš©"""
    frames = [
        f"╔════ {emoji} ════╗\nβ•‘ {message:^16} β•‘\nβ•šβ•β•β•β•β•β•β•β•β•β•β•β•β•",
        f"╔════ {emoji} ════╗\nβ•‘ {message:^16} β•‘\nβ•šβ•β•β•β•β•β•β•β•β•β•β•β•β•",
        f"╔════{emoji}════╗\nβ•‘ {message:^14} β•‘\nβ•šβ•β•β•β•β•β•β•β•β•β•β•",
        f"╔═══{emoji}═══╗\nβ•‘ {message:^12} β•‘\nβ•šβ•β•β•β•β•β•β•β•β•",
        f"╔══{emoji}══╗\nβ•‘ {message:^10} β•‘\nβ•šβ•β•β•β•β•β•β•",
        f"╔═{emoji}═╗\nβ•‘ {message:^8} β•‘\nβ•šβ•β•β•β•β•",
        f"β•”{emoji}β•—\nβ•‘ {message:^6} β•‘\nβ•šβ•β•β•",
    ]
    return frames

# πŸ•΅οΈβ€β™‚οΈ Data Fetching and Caching Shenanigans πŸ•΅οΈβ€β™‚οΈ

def get_rank_papers(url, progress=gr.Progress(track_tqdm=True)):
    """Fetch papers from the interwebs. It's like fishing, but for knowledge! πŸŽ£πŸ“š"""
    base_url = "https://paperswithcode.com"
    session = requests.Session()
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3',
        'Cache-Control': 'no-cache'
    }
    print("Time run at : ", time.ctime())
    offset = 0
    data_list = {}
    break_duplicate = 10
    
    while True:
        response = session.get(url, headers=headers, params={'page': offset})
        if response.status_code != 200:
            print('Failed to retrieve data')
            break
        soup = BeautifulSoup(response.text, 'html.parser')
        paper_info = soup.find_all('div', class_='row infinite-item item paper-card')
        if not paper_info:
            print("No paper information found.")
            break
        for ppr in paper_info:
            title = ppr.find('h1').text.strip()
            
            if "paper" in ppr.find('a')['href']:
                link = base_url + ppr.find('a')['href']
            else:
                link = ppr.find('a')['href'] 
            
            Github_Star = ppr.find('span', class_='badge badge-secondary').text.strip().replace(',', '') if ppr.find('span', class_='badge badge-secondary') else "0"
            
            pdf_link = ''
            try:
                response_link = session.get(link, headers=headers)
                soup_link = BeautifulSoup(response_link.text, 'html.parser')
                paper_info_link = soup_link.find_all('div', class_='paper-abstract')
                pdf_link = paper_info_link[0].find('div', class_='col-md-12').find('a')['href']
            except Exception as e:
                print(f"Failed to retrieve PDF link for {title}: {e}")
            
            print(f"Title: {title}, Link: {link}, Github Star: {Github_Star}, PDF Link: {pdf_link}")
            
            if title not in data_list:
                data_list[title] = {'link': link, 'Github Star': int(Github_Star), 'pdf_link': pdf_link.strip()}
            else:
                break_duplicate -= 1
                if break_duplicate == 0:
                    return data_list
        offset += 1 
        progress.update(offset)
    print('Data retrieval complete')   
    return data_list

def load_cached_data(cache_file):
    """Load cached data. It's like finding money in your old jeans! πŸ’°πŸ§΅"""
    if os.path.exists(cache_file):
        with open(cache_file, 'r') as f:
            return json.load(f)
    return None

def save_cached_data(data, cache_file):
    """Save data to cache. Future you will thank present you! πŸ¦Έβ€β™‚οΈπŸ•°οΈ"""
    with open(cache_file, 'w') as f:
        json.dump(data, f)

def load_and_cache_data(url, cache_file):
    """Load data from cache or fetch new data. It's like a time machine for your data! β°πŸ”„"""
    cached_data = load_cached_data(cache_file)
    
    if cached_data:
        print(f"Loading cached data from {cache_file}")
        return cached_data
    
    print(f"Fetching new data from {url}")
    new_data = get_rank_papers(url)
    save_cached_data(new_data, cache_file)
    return new_data

# πŸ“Š Data Processing and Display Magic πŸ“Š

def format_dataframe(data):
    """Format data into a pretty DataFrame. It's like giving your data a makeover! πŸ’…πŸ“ˆ"""
    if not data:
        print("No data found to format.")
        return pd.DataFrame()
    
    df = pd.DataFrame(data).T
    df['title'] = df.index
    
    # Check if required columns are present
    if 'Github Star' in df.columns and 'link' in df.columns and 'pdf_link' in df.columns:
        df = df[['title', 'Github Star', 'link', 'pdf_link']]
        df = df.sort_values(by='Github Star', ascending=False)
        df['link'] = df['link'].apply(lambda x: f'<a href="{x}" target="_blank">Link</a>')
        df['pdf_link'] = df['pdf_link'].apply(lambda x: f'<a href="{x}" target="_blank">{x}</a>')
    else:
        print("Required columns are missing in the dataframe.")
        print(f"Columns available: {df.columns}")
    
    return df

def update_display(category):
    """Update the display for a category. Freshen up your data like it's spring cleaning! 🧹🌸"""
    cache_file = f"{category}_papers_cache.json"
    url = f"https://paperswithcode.com/{category}" if category != "top" else "https://paperswithcode.com/"
    
    data = load_and_cache_data(url, cache_file)
    df = format_dataframe(data)
    
    return len(df), df.to_html(escape=False, index=False)

def load_all_data():
    """Load data for all categories. It's like a buffet for your brain! 🧠🍽️"""
    top_count, top_html = update_display("top")
    new_count, new_html = update_display("latest")
    greatest_count, greatest_html = update_display("greatest")
    return top_count, top_html, new_count, new_html, greatest_count, greatest_html

# πŸš€ Asynchronous Paper Downloading and Zipping πŸš€

async def download_pdf(session, title, paper_info, directory):
    """Download a PDF file. It's like collecting treasures from the internet! πŸ’ŽπŸ“„"""
    pdf_url = paper_info['pdf_link']
    if not pdf_url:
        return f"🚫 No PDF link for: {title}. It's playing hide and seek! πŸ™ˆ", None
    
    try:
        timeout = aiohttp.ClientTimeout(total=60)  # 60 seconds timeout
        async with session.get(pdf_url, timeout=timeout) as response:
            if response.status != 200:
                return f"🚨 Failed to grab PDF for {title}: HTTP {response.status}. The internet gremlins strike again! πŸ‘Ή", None
            pdf_content = await response.read()

        file_length = len(pdf_content)
        if file_length < 5000:  # Check if the PDF is less than 5KB
            return f"🐜 PDF for {title} is tiny ({file_length} bytes). It's like a paper for ants! πŸœπŸ“„", None

        # Save the PDF to the directory
        safe_title = safe_filename(title)
        pdf_filename = f"{safe_title}.pdf"
        pdf_filepath = os.path.join(directory, pdf_filename)
        
        async with aiofiles.open(pdf_filepath, 'wb') as f:
            await f.write(pdf_content)

        return f"πŸŽ‰ Successfully downloaded: {pdf_filename} (File length: {file_length} bytes).", pdf_filepath
    except asyncio.TimeoutError:
        return f"⏳ Timeout for {title}. The PDF is playing hard to get! πŸ’ƒ", None
    except Exception as e:
        return f"πŸ’₯ Oops! Error downloading {title}: {str(e)}. Gremlins in the system! πŸ› οΈ", None

async def process_papers(data, directory, progress=gr.Progress()):
    """Process multiple papers asynchronously by downloading their PDFs. πŸ€Ήβ€β™‚οΈπŸ“š"""
    async with aiohttp.ClientSession() as session:
        tasks = []
        for title, paper_info in data.items():
            task = asyncio.ensure_future(download_pdf(session, title, paper_info, directory))
            tasks.append(task)
        
        results = []
        pdf_files = []
        for i, task in enumerate(asyncio.as_completed(tasks), start=1):
            result, pdf_filepath = await task
            results.append(result)
            if pdf_filepath:
                pdf_files.append(pdf_filepath)
            progress(i / len(tasks), f"πŸš€ Processed {i}/{len(tasks)} papers. Downloading...")
    
    return results, pdf_files

def zip_files(directory):
    """Zip all files in the given directory."""
    zip_filename = f"{directory}.zip"
    zip_filepath = os.path.join(directory, zip_filename)
    
    with zipfile.ZipFile(zip_filepath, 'w') as zipf:
        for root, _, files in os.walk(directory):
            for file in files:
                file_path = os.path.join(root, file)
                zipf.write(file_path, arcname=file)
    
    return zip_filepath

def download_all_papers(progress=gr.Progress()):
    """Download and zip all papers. It's like hosting a paper party, and everyone's invited! πŸŽ‰πŸ“š"""
    all_data = {}
    for category in ["top", "latest", "greatest"]:
        cache_file = f"{category}_papers_cache.json"
        data = load_cached_data(cache_file)
        if data:
            all_data.update(data)
    
    # Create timestamped directory
    date_directory = create_timestamp_directory()
    
    # Download papers
    results, pdf_files = asyncio.run(process_papers(all_data, date_directory, progress))
    
    # Zip the directory
    zip_filepath = zip_files(date_directory)
    
    # Create a download link
    download_link = get_base64_download_link(zip_filepath, f"{date_directory}.zip")
    
    summary = f"πŸ“Š Papers processed: {len(all_data)} (We're basically librarians now!)\n"
    summary += f"βœ… Successfully downloaded and zipped: {len(pdf_files)} (Take that, PDF gremlins!)\n"
    summary += f"❌ Errors: {len(results) - len(pdf_files)} (Even superheroes have off days)\n\n"
    summary += download_link
    
    return summary, "<br>".join(results)

# 🎭 Gradio Interface: Where the Magic Happens 🎭

with gr.Blocks() as demo:
    gr.Markdown("<h1><center>Papers Leaderboard</center></h1>")
    
    with gr.Tab("Top Trending Papers"):
        top_count = gr.Textbox(label="Number of Papers Fetched")
        top_html = gr.HTML()
        top_button = gr.Button("Refresh Leaderboard")
        top_button.click(fn=lambda: update_display("top"), inputs=None, outputs=[top_count, top_html])
    
    with gr.Tab("New Papers"):
        new_count = gr.Textbox(label="Number of Papers Fetched")
        new_html = gr.HTML()
        new_button = gr.Button("Refresh Leaderboard")
        new_button.click(fn=lambda: update_display("latest"), inputs=None, outputs=[new_count, new_html])
    
    with gr.Tab("Greatest Papers"):
        greatest_count = gr.Textbox(label="Number of Papers Fetched")
        greatest_html = gr.HTML()
        greatest_button = gr.Button("Refresh Leaderboard")
        greatest_button.click(fn=lambda: update_display("greatest"), inputs=None, outputs=[greatest_count, greatest_html])

    download_button = gr.Button("πŸ“š Download All Papers", variant="primary")
    download_output = gr.Textbox(label="Download Status")
    download_links = gr.HTML(label="Download Links")
    text_output = gr.Code(label="Paper Contents", language="python")
    download_button.click(fn=download_all_papers, inputs=None, outputs=[download_output, download_links, text_output])

    # Load initial data for all tabs
    demo.load(fn=load_all_data, outputs=[top_count, top_html, new_count, new_html, greatest_count, greatest_html])

# πŸš€ Launch the Gradio interface with a public link
print("🎭 Launching the Papers Leaderboard! Get ready for a wild ride through the land of academia! πŸŽ’πŸ“š")
demo.launch(share=True)