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import os | |
os.system("playwright install") | |
import os | |
import re | |
import urllib.parse | |
import asyncio | |
from typing import Dict | |
import gradio as gr | |
from bs4 import BeautifulSoup, NavigableString | |
from playwright.async_api import async_playwright | |
# --- 1. GLOBAL RESOURCES & CONFIGURATION --- | |
# This dictionary will hold the long-lived Playwright and Browser objects. | |
# It starts empty and browsers are added on-demand. | |
PLAYWRIGHT_STATE: Dict = {} | |
# A comprehensive list of search engines | |
SEARCH_ENGINES = { | |
"DuckDuckGo": "https://duckduckgo.com/html/?q={query}", "Google": "https://www.google.com/search?q={query}", | |
"Bing": "https://www.bing.com/search?q={query}", "Brave": "https://search.brave.com/search?q={query}", | |
"Ecosia": "https://www.ecosia.org/search?q={query}", "Yahoo": "https://search.yahoo.com/search?p={query}", | |
"Startpage": "https://www.startpage.com/sp/search?q={query}", "Qwant": "https://www.qwant.com/?q={query}", | |
"Swisscows": "https://swisscows.com/web?query={query}", "You.com": "https://you.com/search?q={query}", | |
"SearXNG": "https://searx.be/search?q={query}", "MetaGer": "https://metager.org/meta/meta.ger-en?eingabe={query}", | |
"Yandex": "https://yandex.com/search/?text={query}", "Baidu": "https://www.baidu.com/s?wd={query}", | |
"Perplexity": "https://www.perplexity.ai/search?q={query}" | |
} | |
# --- 2. ADVANCED HTML-TO-MARKDOWN CONVERTER (Unchanged) --- | |
class HTML_TO_MARKDOWN_CONVERTER: | |
# ... [The class code is identical and correct] ... | |
def __init__(self, soup: BeautifulSoup, base_url: str): | |
self.soup = soup | |
self.base_url = base_url | |
def _cleanup_html(self): | |
selectors_to_remove = [ | |
'nav', 'footer', 'header', 'aside', 'form', 'script', 'style', 'svg', 'button', 'input', 'textarea', | |
'[role="navigation"]', '[role="search"]', '[id*="comment"]', '[class*="comment-"]', | |
'[id*="sidebar"]', '[class*="sidebar"]', '[id*="related"]', '[class*="related"]', | |
'[id*="share"]', '[class*="share"]', '[id*="social"]', '[class*="social"]', | |
'[id*="cookie"]', '[class*="cookie"]' | |
] | |
for selector in selectors_to_remove: | |
for element in self.soup.select(selector): | |
element.decompose() | |
def convert(self): | |
self._cleanup_html() | |
content_node = self.soup.find('main') or self.soup.find('article') or self.soup.find('body') | |
if not content_node: | |
return "Could not find main content." | |
md = self._process_node(content_node) | |
return re.sub(r'\n{3,}', '\n\n', md).strip() | |
def _process_node(self, element): | |
if isinstance(element, NavigableString): return re.sub(r'\s+', ' ', element.strip()) | |
if element.name is None or not element.name: return '' | |
inner_md = " ".join(self._process_node(child) for child in element.children).strip() | |
if element.name in ['p', 'div', 'section']: return f"\n\n{inner_md}\n\n" | |
if element.name == 'h1': return f"\n\n# {inner_md}\n\n" | |
if element.name == 'h2': return f"\n\n## {inner_md}\n\n" | |
if element.name == 'h3': return f"\n\n### {inner_md}\n\n" | |
if element.name in ['h4', 'h5', 'h6']: return f"\n\n#### {inner_md}\n\n" | |
if element.name == 'li': return f"* {inner_md}\n" | |
if element.name in ['ul', 'ol']: return f"\n{inner_md}\n" | |
if element.name == 'blockquote': return f"> {inner_md.replace(chr(10), chr(10) + '> ')}\n\n" | |
if element.name == 'hr': return "\n\n---\n\n" | |
if element.name == 'table': | |
header = " | ".join(f"**{th.get_text(strip=True)}**" for th in element.select('thead th, tr th')) | |
separator = " | ".join(['---'] * len(header.split('|'))) | |
rows = [" | ".join(td.get_text(strip=True) for td in tr.find_all('td')) for tr in element.select('tbody tr')] | |
return f"\n\n{header}\n{separator}\n" + "\n".join(rows) + "\n\n" | |
if element.name == 'pre': return f"\n```\n{element.get_text(strip=True)}\n```\n\n" | |
if element.name == 'code': return f"`{inner_md}`" | |
if element.name in ['strong', 'b']: return f"**{inner_md}**" | |
if element.name in ['em', 'i']: return f"*{inner_md}*" | |
if element.name == 'a': | |
href = element.get('href', '') | |
full_href = urllib.parse.urljoin(self.base_url, href) | |
return f"[{inner_md}]({full_href})" | |
if element.name == 'img': | |
src = element.get('src', '') | |
alt = element.get('alt', 'Image').strip() | |
full_src = urllib.parse.urljoin(self.base_url, src) | |
return f"\n\n\n\n" | |
return inner_md | |
# --- 3. CORE API FUNCTION (WITH LAZY LOADING) --- | |
async def perform_web_browse(query: str, browser_name: str, search_engine: str): | |
""" | |
A stateless function that takes a query, browser, and search engine, | |
then returns the parsed content of the resulting page. | |
It launches and caches browsers on-demand. | |
""" | |
# Step 1: Initialize Playwright process itself if not already running. | |
if "playwright" not in PLAYWRIGHT_STATE: | |
print("π First request received, starting Playwright process...") | |
PLAYWRIGHT_STATE["playwright"] = await async_playwright().start() | |
print("β Playwright process is running.") | |
# Step 2: Check if the *specific browser requested* has been launched. | |
browser_key = browser_name.lower() | |
if browser_key not in PLAYWRIGHT_STATE: | |
print(f"π Launching '{browser_key}' for the first time...") | |
try: | |
p = PLAYWRIGHT_STATE["playwright"] | |
if browser_key == 'firefox': | |
browser_instance = await p.firefox.launch(headless=True) | |
elif browser_key == 'chromium': | |
browser_instance = await p.chromium.launch(headless=True) | |
elif browser_key == 'webkit': | |
browser_instance = await p.webkit.launch(headless=True) | |
else: | |
raise ValueError(f"Invalid browser name: {browser_name}") | |
PLAYWRIGHT_STATE[browser_key] = browser_instance | |
print(f"β '{browser_key}' is now running and cached.") | |
except Exception as e: | |
error_message = str(e).splitlines()[0] | |
print(f"β Failed to launch '{browser_key}': {error_message}") | |
return {"status": "error", "query": query, "error_message": f"Failed to launch browser '{browser_key}'. Your system might be missing dependencies. Error: {error_message}"} | |
browser_instance = PLAYWRIGHT_STATE[browser_key] | |
# Step 3: Determine URL | |
is_url = urllib.parse.urlparse(query).scheme in ['http', 'https'] | |
if is_url: | |
url = query | |
else: | |
search_url_template = SEARCH_ENGINES.get(search_engine) | |
if not search_url_template: | |
return {"error": f"Invalid search engine: '{search_engine}'."} | |
url = search_url_template.format(query=urllib.parse.quote_plus(query)) | |
# Step 4: Create isolated context and browse | |
context = await browser_instance.new_context(user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36') | |
page = await context.new_page() | |
try: | |
print(f"Navigating to: {url} using {browser_name}...") | |
await page.goto(url, wait_until='domcontentloaded', timeout=30000) | |
final_url, title = page.url, await page.title() or "No Title" | |
print(f"Arrived at: {final_url}") | |
soup = BeautifulSoup(await page.content(), 'lxml') | |
converter = HTML_TO_MARKDOWN_CONVERTER(soup, base_url=final_url) | |
markdown_text = converter.convert() | |
print("Content parsed successfully.") | |
return {"status": "success", "query": query, "final_url": final_url, "page_title": title, "markdown_content": markdown_text} | |
except Exception as e: | |
error_message = str(e).splitlines()[0] | |
print(f"An error occurred: {error_message}") | |
return {"status": "error", "query": query, "error_message": error_message} | |
finally: | |
if page: await page.close() | |
if context: await context.close() | |
print("Session context closed.") | |
# --- 4. GRADIO INTERFACE & API LAUNCH (Unchanged) --- | |
with gr.Blocks(title="Web Browse API", theme=gr.themes.Soft()) as demo: | |
# ... UI definition is identical ... | |
gr.Markdown("# Web Browse API") | |
gr.Markdown("This interface exposes a stateless API endpoint (`/api/web_browse`) to fetch and parse web content.") | |
query_input = gr.Textbox(label="URL or Search Query", placeholder="e.g., https://openai.com or 'history of artificial intelligence'") | |
with gr.Row(): | |
browser_input = gr.Dropdown(label="Browser", choices=["firefox", "chromium", "webkit"], value="firefox", scale=1) | |
search_engine_input = gr.Dropdown(label="Search Engine (for non-URL queries)", choices=sorted(list(SEARCH_ENGINES.keys())), value="DuckDuckGo", scale=2) | |
submit_button = gr.Button("Browse", variant="primary") | |
output_json = gr.JSON(label="API Result") | |
submit_button.click(fn=perform_web_browse, inputs=[query_input, browser_input, search_engine_input], outputs=output_json, api_name="web_browse") | |
if __name__ == "__main__": | |
demo.launch() |