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| import gradio as gr | |
| import requests | |
| from bs4 import BeautifulSoup | |
| from urllib.parse import urljoin, urlparse | |
| from fpdf import FPDF | |
| import tempfile | |
| import re | |
| import logging | |
| import asyncio | |
| import aiohttp | |
| from aiolimiter import AsyncLimiter | |
| import sqlite3 | |
| from contextlib import contextmanager | |
| from threading import local | |
| import concurrent.futures | |
| logging.basicConfig(level=logging.INFO) | |
| logger = logging.getLogger(__name__) | |
| # Thread-local storage for database connections | |
| thread_local = local() | |
| # Rate limiter: 10 requests per second | |
| rate_limiter = AsyncLimiter(10, 1) | |
| def get_db_connection(): | |
| if not hasattr(thread_local, "connection"): | |
| thread_local.connection = sqlite3.connect('crawl_cache.db') | |
| try: | |
| yield thread_local.connection | |
| finally: | |
| pass # We'll keep the connection open for reuse | |
| def init_db(): | |
| with get_db_connection() as conn: | |
| c = conn.cursor() | |
| c.execute('''CREATE TABLE IF NOT EXISTS pages | |
| (url TEXT PRIMARY KEY, content TEXT, depth INTEGER)''') | |
| c.execute('''CREATE INDEX IF NOT EXISTS idx_url ON pages(url)''') | |
| conn.commit() | |
| init_db() | |
| def clean_text(text): | |
| text = ''.join(char for char in text if char.isprintable()) | |
| text = re.sub(r'[^\x00-\x7F]+', ' ', text) | |
| return text | |
| async def get_page_content(session, url): | |
| try: | |
| async with rate_limiter: | |
| async with session.get(url, timeout=30) as response: | |
| if response.status == 200: | |
| text = await response.text() | |
| soup = BeautifulSoup(text, 'html.parser') | |
| content = [] | |
| main_content = soup.find('article') or soup.find('main') or soup | |
| if main_content: | |
| for tag in ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li']: | |
| for element in main_content.find_all(tag): | |
| text = clean_text(element.get_text(strip=True)) | |
| if text: | |
| content.append(text) | |
| logger.info(f"Found {len(content)} content items for {url}") | |
| return content | |
| else: | |
| logger.error(f"Error fetching {url}: HTTP {response.status}") | |
| return [f"Error fetching {url}: HTTP {response.status}"] | |
| except Exception as e: | |
| logger.error(f"Error processing {url}: {str(e)}") | |
| return [f"Error processing {url}: {str(e)}"] | |
| async def get_links(session, url, base_url): | |
| try: | |
| async with rate_limiter: | |
| async with session.get(url, timeout=30) as response: | |
| if response.status == 200: | |
| text = await response.text() | |
| soup = BeautifulSoup(text, 'html.parser') | |
| links = soup.find_all('a', href=True) | |
| valid_links = [] | |
| for link in links: | |
| full_url = urljoin(url, link['href']) | |
| if full_url.startswith(base_url) and full_url != url: | |
| valid_links.append(full_url) | |
| return valid_links | |
| else: | |
| logger.error(f"Error fetching links from {url}: HTTP {response.status}") | |
| return [] | |
| except Exception as e: | |
| logger.error(f"Error getting links from {url}: {str(e)}") | |
| return [] | |
| async def crawl_pages(base_url, max_depth): | |
| visited = set() | |
| to_visit = [(base_url, 0)] | |
| all_pages = [] | |
| async with aiohttp.ClientSession() as session: | |
| while to_visit: | |
| current_url, depth = to_visit.pop(0) | |
| if current_url in visited or depth > max_depth: | |
| continue | |
| visited.add(current_url) | |
| start_time = time.time() | |
| with get_db_connection() as conn: | |
| c = conn.cursor() | |
| c.execute("SELECT content FROM pages WHERE url = ?", (current_url,)) | |
| result = c.fetchone() | |
| if result: | |
| content = eval(result[0]) # Convert string back to list | |
| else: | |
| content = await get_page_content(session, current_url) | |
| with get_db_connection() as conn: | |
| c = conn.cursor() | |
| c.execute("INSERT INTO pages VALUES (?, ?, ?)", (current_url, str(content), depth)) | |
| conn.commit() | |
| all_pages.append((current_url, content)) | |
| logger.info(f"Processed page: {current_url} at depth {depth} in {time.time() - start_time:.2f} seconds") | |
| if depth < max_depth: | |
| links = await get_links(session, current_url, base_url) | |
| for link in links: | |
| if link not in visited: | |
| to_visit.append((link, depth + 1)) | |
| return all_pages | |
| def website_to_pdf(all_pages): | |
| logger.info(f"Starting PDF generation for {len(all_pages)} pages") | |
| pdf = FPDF() | |
| pdf.set_auto_page_break(auto=True, margin=15) | |
| pdf.add_page() | |
| pdf.set_font("Arial", size=12) | |
| for page_url, content in all_pages: | |
| pdf.cell(0, 10, txt=page_url, ln=True) | |
| pdf.ln(5) | |
| for text in content: | |
| try: | |
| pdf.multi_cell(0, 10, txt=text[:200]) # Limit text length to avoid issues | |
| except Exception as e: | |
| logger.error(f"Error writing text to PDF: {str(e)}") | |
| if pdf.get_y() > 250: # Add a new page if the current page is almost full | |
| pdf.add_page() | |
| with tempfile.NamedTemporaryFile(delete=False, suffix='.pdf') as tmp: | |
| pdf_path = tmp.name | |
| pdf.output(pdf_path) | |
| logger.info(f"PDF saved to: {pdf_path}") | |
| return pdf_path | |
| async def process_url(url, depth): | |
| try: | |
| all_pages = await crawl_pages(url, depth) | |
| pdf_file = website_to_pdf(all_pages) | |
| return pdf_file | |
| except Exception as e: | |
| logger.error(f"Error in process_url: {str(e)}") | |
| return f"An error occurred: {str(e)}" | |
| def run_async(url, depth): | |
| return asyncio.run(process_url(url, depth)) | |
| iface = gr.Interface( | |
| fn=run_async, | |
| inputs=[ | |
| gr.Textbox(label="Enter website URL (e.g., https://www.gradio.app/docs)"), | |
| gr.Slider(minimum=1, maximum=10, value=3, step=1, label="Crawl Depth") | |
| ], | |
| outputs=gr.File(label="Download PDF"), | |
| title="Website to PDF Converter", | |
| description="Enter docs URL and crawl depth to convert documentation pages into a PDF. Be responsible for sites you have permission to do this" | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch() |