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import streamlit as st
# Must be the first Streamlit command
st.set_page_config(page_title="Advanced File Downloader", layout="wide")
import os
import subprocess
from playwright.async_api import async_playwright, TimeoutError as PlaywrightTimeoutError
import asyncio
import logging
from urllib.parse import urlparse
import re
from pathlib import Path
from io import BytesIO
import random
from bs4 import BeautifulSoup
from PyPDF2 import PdfReader
import zipfile
import tempfile
import mimetypes
import requests
# -------------------- spaCy Model Setup --------------------
import spacy
import spacy.cli
from spacy.language import Language
@Language.factory("spacy-curated-transformers_RobertaTransformer_v1")
def dummy_roberta_transformer(nlp, name):
def dummy(doc):
return doc
return dummy
@st.cache_resource
def load_nlp_model():
try:
nlp_model = spacy.load("en_core_web_sm")
except OSError:
st.write("Model en_core_web_sm not found. Downloading it now...")
spacy.cli.download("en_core_web_sm")
nlp_model = spacy.load("en_core_web_sm")
return nlp_model
nlp_model = load_nlp_model()
# Also load SentenceTransformer for semantic re-ranking.
from sentence_transformers import SentenceTransformer, util
@st.cache_resource
def load_semantic_model():
return SentenceTransformer('all-MiniLM-L6-v2')
semantic_model = load_semantic_model()
# -------------------- Transformers Summarization Setup --------------------
from transformers import pipeline
@st.cache_resource
def load_summarizer():
return pipeline("summarization")
summarizer = load_summarizer()
def summarize_pdf_url(pdf_url):
try:
with st.spinner("Downloading and processing PDF..."):
response = requests.get(pdf_url, stream=True)
temp_pdf = tempfile.NamedTemporaryFile(delete=False, suffix=".pdf")
with open(temp_pdf.name, "wb") as f:
f.write(response.content)
reader = PdfReader(temp_pdf.name)
text = " ".join([page.extract_text() or "" for page in reader.pages])
os.remove(temp_pdf.name)
limited_text = text[:3000]
summary = summarizer(limited_text, max_length=200, min_length=50, do_sample=False)
return summary[0]["summary_text"]
except Exception as e:
return f"Error summarizing PDF: {e}"
# -------------------- Google API Setup --------------------
GOOGLE_OAUTH_CONFIG = {
"web": {
"client_id": "your_client_id",
"project_id": "your_project_id",
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://oauth2.googleapis.com/token",
"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
"client_secret": "your_client_secret",
"redirect_uris": ["your_redirect_uri"]
}
}
import google_auth_oauthlib.flow
import googleapiclient.discovery
import google.auth.transport.requests
def get_google_auth_url():
client_config = GOOGLE_OAUTH_CONFIG["web"]
flow = google_auth_oauthlib.flow.Flow.from_client_config(
{"web": client_config},
scopes=["https://www.googleapis.com/auth/drive.file"]
)
flow.redirect_uri = client_config["redirect_uris"][0]
authorization_url, _ = flow.authorization_url(
access_type="offline",
include_granted_scopes="true",
prompt="consent"
)
return authorization_url
def exchange_code_for_credentials(auth_code):
if not auth_code.strip():
return None, "No code provided."
try:
client_config = GOOGLE_OAUTH_CONFIG["web"]
flow = google_auth_oauthlib.flow.Flow.from_client_config(
{"web": client_config},
scopes=["https://www.googleapis.com/auth/drive.file"]
)
flow.redirect_uri = client_config["redirect_uris"][0]
flow.fetch_token(code=auth_code.strip())
creds = flow.credentials
if not creds or not creds.valid:
return None, "Could not validate credentials. Check code and try again."
return creds, "Google Sign-In successful!"
except Exception as e:
return None, f"Error during token exchange: {e}"
# -------------------- Playwright Setup --------------------
def install_playwright_dependencies():
os.environ['PLAYWRIGHT_BROWSERS_PATH'] = os.path.expanduser("~/.cache/ms-playwright")
os.environ['LD_LIBRARY_PATH'] = '/usr/lib/playwright:/usr/lib/x86_64-linux-gnu'
try:
subprocess.run(['python3', '-m', 'playwright', 'install', 'chromium'], check=True)
except Exception as e:
st.error(f"Error installing Playwright: {e}")
# Initialize Playwright dependencies
install_playwright_dependencies()
# -------------------- Logging Setup --------------------
logging.basicConfig(
filename='advanced_download_log.txt',
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger()
# -------------------- Shared Utils --------------------
USER_AGENTS = [
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 12_6_3) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.4 Safari/605.1.15',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:115.0) Gecko/20100101 Firefox/115.0',
]
def get_random_user_agent():
return random.choice(USER_AGENTS)
def sizeof_fmt(num, suffix='B'):
for unit in ['', 'K', 'M', 'G', 'T', 'P', 'E', 'Z']:
if abs(num) < 1024.0:
return f"{num:3.1f}{unit}{suffix}"
num /= 1024.0
return f"{num:.1f}Y{suffix}"
# ---------- Human-like Interactions -------------
async def human_like_scroll(page):
scroll_height = await page.evaluate('document.body.scrollHeight')
viewport_height = await page.evaluate('window.innerHeight')
current_scroll = 0
while current_scroll < scroll_height:
await page.evaluate(f'window.scrollTo(0, {current_scroll})')
await asyncio.sleep(random.uniform(0.5, 1.5))
current_scroll += viewport_height * random.uniform(0.5, 1.5)
scroll_height = await page.evaluate('document.body.scrollHeight')
async def human_like_interactions(page):
await page.mouse.move(random.randint(0, 1000), random.randint(0, 1000))
await asyncio.sleep(random.uniform(0.5, 1.5))
await page.mouse.click(random.randint(0, 1000), random.randint(0, 1000))
await asyncio.sleep(random.uniform(0.5, 1.5))
await page.evaluate("window.scrollBy(0, window.innerHeight / 2)")
await asyncio.sleep(random.uniform(0.5, 1.5))
# ---------- NLP Helpers -------------
def nlp_preprocess(query: str) -> str:
doc = nlp_model(query)
tokens = [token.lemma_.lower() for token in doc if not token.is_stop and token.is_alpha]
processed = " ".join(tokens)
return processed if processed.strip() else query
def nlp_extract_entities(text: str):
doc = nlp_model(text)
return [(ent.text, ent.label_) for ent in doc.ents]
# ---------- AI-enhanced Query Preprocessing -------------
def ai_preprocess_query(query: str) -> str:
return query
class DownloadManager:
def __init__(self, use_proxy=False, proxy=None, query=None, num_results=5):
self.use_proxy = use_proxy
self.proxy = proxy
self.query = query
self.num_results = num_results
self.playwright = None
self.browser = None
self.context = None
self.page = None
async def __aenter__(self):
self.playwright = await async_playwright().start()
opts = {"headless": True}
if self.use_proxy and self.proxy:
opts["proxy"] = {"server": self.proxy}
self.browser = await self.playwright.chromium.launch(**opts)
self.context = await self.browser.new_context(user_agent=get_random_user_agent())
self.page = await self.context.new_page()
await self.page.set_extra_http_headers({
'Accept-Language': 'en-US,en;q=0.9',
'Accept-Encoding': 'gzip, deflate, br',
'Referer': 'https://www.bing.com/'
})
return self
async def __aexit__(self, exc_type, exc_val, exc_tb):
if self.browser:
await self.browser.close()
if self.playwright:
await self.playwright.stop()
async def get_file_size(self, url):
try:
async with self.context.new_page() as page:
response = await page.request.head(url, timeout=15000)
length = response.headers.get('Content-Length', None)
if length:
return sizeof_fmt(int(length))
else:
return "Unknown Size"
except Exception:
return "Unknown Size"
async def get_pdf_metadata(self, url):
try:
async with self.context.new_page() as page:
resp = await page.request.get(url, timeout=15000)
if resp.ok:
content = await resp.body()
pdf = BytesIO(content)
reader = PdfReader(pdf)
return {
'Title': reader.metadata.get('/Title', 'N/A') if reader.metadata else 'N/A',
'Author': reader.metadata.get('/Author', 'N/A') if reader.metadata else 'N/A',
'Pages': len(reader.pages),
}
else:
return {}
except Exception:
return {}
async def extract_real_download_url(self, url):
try:
async with self.context.new_page() as page:
response = await page.goto(url, wait_until='networkidle', timeout=30000)
# Check if the response is a redirect
if response and response.headers.get('location'):
return response.headers['location']
# Check if response is a file
content_type = response.headers.get('content-type', '')
if 'text/html' not in content_type.lower():
return url
# Look for meta refresh
content = await page.content()
soup = BeautifulSoup(content, 'html.parser')
meta_refresh = soup.find('meta', {'http-equiv': 'refresh'})
if meta_refresh:
content = meta_refresh.get('content', '')
if 'url=' in content.lower():
return content.split('url=')[-1].strip()
return page.url
except Exception as e:
logger.error(f"Error extracting real download URL: {e}")
return url
async def extract_downloadable_files(self, url, custom_ext_list):
found_files = []
try:
# First try to load the page
response = await self.page.goto(url, timeout=30000, wait_until='networkidle')
if not response:
return []
final_url = self.page.url
# Handle redirects and download scripts
if '.php' in final_url or 'download' in final_url or 'get' in final_url:
real_url = await self.extract_real_download_url(final_url)
if real_url != final_url:
content_type = (await self.page.request.head(real_url)).headers.get('content-type', '')
if content_type and 'text/html' not in content_type.lower():
found_files.append({
'url': real_url,
'filename': os.path.basename(urlparse(real_url).path) or 'downloaded_file',
'size': await self.get_file_size(real_url),
'metadata': {}
})
return found_files
await self.page.wait_for_load_state('networkidle', timeout=30000)
await human_like_interactions(self.page)
content = await self.page.content()
soup = BeautifulSoup(content, 'html.parser')
# Define extensions to look for
default_exts = ['.pdf', '.docx', '.doc', '.zip', '.rar', '.mp3', '.mp4', '.avi', '.mkv',
'.png', '.jpg', '.jpeg', '.gif', '.xlsx', '.xls', '.ppt', '.pptx', '.txt']
all_exts = set(default_exts + [ext.strip().lower() for ext in custom_ext_list if ext.strip()])
# Parse base URL for relative links
parsed_base = urlparse(final_url)
base_url = f"{parsed_base.scheme}://{parsed_base.netloc}"
# Find all links
for a in soup.find_all('a', href=True):
href = a['href'].strip()
# Skip empty or javascript links
if not href or href.startswith('javascript:') or href == '#':
continue
# Handle special cases (PHP scripts, download handlers)
if '.php' in href.lower() or 'download' in href.lower() or 'get' in href.lower():
full_url = href if href.startswith('http') else urljoin(base_url, href)
real_url = await self.extract_real_download_url(full_url)
if real_url and real_url != full_url:
size_str = await self.get_file_size(real_url)
found_files.append({
'url': real_url,
'filename': os.path.basename(urlparse(real_url).path) or 'downloaded_file',
'size': size_str,
'metadata': {}
})
continue
# Handle direct file links
if any(href.lower().endswith(ext) for ext in all_exts):
file_url = href if href.startswith('http') else urljoin(base_url, href)
size_str = await self.get_file_size(file_url)
meta = {}
if file_url.lower().endswith('.pdf'):
meta = await self.get_pdf_metadata(file_url)
found_files.append({
'url': file_url,
'filename': os.path.basename(urlparse(file_url).path),
'size': size_str,
'metadata': meta
})
# Handle Google Drive links
elif any(x in href for x in ['drive.google.com', 'docs.google.com']):
file_id = None
for pattern in [r'/file/d/([^/]+)', r'id=([^&]+)', r'open\?id=([^&]+)']:
match = re.search(pattern, href)
if match:
file_id = match.group(1)
break
if file_id:
direct_url = f"https://drive.google.com/uc?export=download&id={file_id}"
async with self.context.new_page() as page:
try:
response = await page.request.head(direct_url, timeout=15000)
filename = file_id
content_disposition = response.headers.get('content-disposition', '')
if content_disposition:
filename_match = re.findall('filename="(.+?)"', content_disposition)
if filename_match:
filename = filename_match[0]
found_files.append({
'url': direct_url,
'filename': filename,
'size': await self.get_file_size(direct_url),
'metadata': {}
})
except Exception as e:
logger.error(f"Error processing Google Drive link: {e}")
# Make list unique based on URLs
seen_urls = set()
unique_files = []
for f in found_files:
if f['url'] not in seen_urls:
seen_urls.add(f['url'])
unique_files.append(f)
return unique_files
except Exception as e:
logger.error(f"Error extracting files from {url}: {e}")
return []
async def download_file(self, file_info, save_dir, referer):
file_url = file_info['url']
fname = file_info['filename']
path = os.path.join(save_dir, fname)
# Handle duplicate filenames
base, ext = os.path.splitext(fname)
counter = 1
while os.path.exists(path):
path = os.path.join(save_dir, f"{base}_{counter}{ext}")
counter += 1
os.makedirs(save_dir, exist_ok=True)
try:
# Special handling for Google Drive
if 'drive.google.com' in file_url:
import gdown
try:
st.write(f"Downloading from Google Drive: {fname}")
output = gdown.download(file_url, path, quiet=False)
if output:
return path
return None
except Exception as e:
logger.error(f"Google Drive download error: {e}")
return None
# Handle normal downloads
async with self.context.new_page() as page:
st.write(f"Downloading: {fname}")
headers = {
'Accept': '*/*',
'Accept-Encoding': 'gzip, deflate, br',
'Referer': referer
}
response = await page.request.get(file_url, headers=headers, timeout=30000)
if response.status == 200:
content = await response.body()
with open(path, 'wb') as f:
f.write(content)
return path
else:
logger.error(f"Download failed with status {response.status}: {file_url}")
return None
except Exception as e:
logger.error(f"Error downloading {file_url}: {e}")
return None
async def search_bing(self):
if not self.query:
return [], []
search_query = self.query
if "filetype:pdf" not in search_query.lower():
search_query += " filetype:pdf"
search_url = f"https://www.bing.com/search?q={search_query}&count={self.num_results}"
try:
await self.page.goto(search_url, timeout=30000)
await self.page.wait_for_selector('li.b_algo', timeout=30000)
await human_like_scroll(self.page)
results = []
elements = await self.page.query_selector_all('li.b_algo')
for element in elements:
link = await element.query_selector('h2 a')
if link:
url = await link.get_attribute('href')
if url:
results.append(url)
return results[:self.num_results]
except Exception as e:
logger.error(f"Bing search error: {e}")
return []
async def get_sublinks(self, url, limit=100):
try:
await self.page.goto(url, timeout=30000)
content = await self.page.content()
soup = BeautifulSoup(content, 'html.parser')
parsed_base = urlparse(url)
base_url = f"{parsed_base.scheme}://{parsed_base.netloc}"
links = set()
for a in soup.find_all('a', href=True):
href = a['href'].strip()
if href.startswith('http'):
links.add(href)
elif href.startswith('/'):
links.add(f"{base_url}{href}")
return list(links)[:limit]
except Exception as e:
logger.error(f"Error getting sublinks: {e}")
return []
async def deep_search(self, url, custom_ext_list=None, sublink_limit=100):
if not custom_ext_list:
custom_ext_list = []
progress_text = st.empty()
progress_bar = st.progress(0)
try:
# Search main page
progress_text.text("Analyzing main page...")
main_files = await self.extract_downloadable_files(url, custom_ext_list)
# Get and search sublinks
progress_text.text("Getting sublinks...")
sublinks = await self.get_sublinks(url, sublink_limit)
if not sublinks:
progress_bar.progress(1.0)
return main_files
# Process sublinks
all_files = main_files
total_links = len(sublinks)
for i, sublink in enumerate(sublinks, 1):
progress_text.text(f"Processing sublink {i}/{total_links}: {sublink}")
progress_bar.progress(i/total_links)
sub_files = await self.extract_downloadable_files(sublink, custom_ext_list)
all_files.extend(sub_files)
# Make results unique
seen_urls = set()
unique_files = []
for f in all_files:
if f['url'] not in seen_urls:
seen_urls.add(f['url'])
unique_files.append(f)
progress_text.text(f"Found {len(unique_files)} unique files")
progress_bar.progress(1.0)
return unique_files
except Exception as e:
logger.error(f"Deep search error: {e}")
return []
# ---------- Main Streamlit UI Implementation -------------
def main():
if 'initialized' not in st.session_state:
st.session_state.initialized = True
st.session_state.discovered_files = []
st.session_state.current_url = None
st.session_state.google_creds = None
st.title("Advanced File Downloader")
# Sidebar for settings
with st.sidebar:
st.header("Settings")
mode = st.radio("Select Mode", ["Manual URL", "Bing Search", "PDF Summarizer"])
with st.expander("Advanced Options"):
custom_extensions = st.text_input(
"Custom File Extensions",
placeholder=".csv, .txt, .epub"
)
max_concurrency = st.slider(
"Max Concurrency",
min_value=1,
max_value=1000,
value=200
)
use_proxy = st.checkbox("Use Proxy")
proxy = st.text_input("Proxy URL", placeholder="http://proxy:port")
# Google OAuth Section
with st.expander("Google Drive Integration"):
if st.button("Start Google Sign-In"):
auth_url = get_google_auth_url()
st.markdown(f"[Click here to authorize]({auth_url})")
auth_code = st.text_input("Enter authorization code")
if st.button("Complete Sign-In") and auth_code:
creds, msg = exchange_code_for_credentials(auth_code)
st.session_state.google_creds = creds
st.write(msg)
# Main content area
if mode == "Manual URL":
st.header("Manual URL Mode")
url = st.text_input("Enter URL", placeholder="https://example.com")
col1, col2 = st.columns(2)
with col1:
if st.button("Deep Search", use_container_width=True):
if url:
async def run_deep_search():
async with DownloadManager(
use_proxy=use_proxy,
proxy=proxy
) as dm:
with st.spinner("Searching for files..."):
files = await dm.deep_search(
url=url,
custom_ext_list=custom_extensions.split(',') if custom_extensions else [],
max_concurrency=max_concurrency
)
st.session_state.discovered_files = files
st.session_state.current_url = url
return files
files = asyncio.run(run_deep_search())
if files:
st.success(f"Found {len(files)} files!")
else:
st.warning("No files found.")
with col2:
if st.button("Preview Page", use_container_width=True):
if url:
async def preview():
async with DownloadManager(use_proxy=use_proxy, proxy=proxy) as dm:
with st.spinner("Loading preview..."):
return await dm.preview_page(url)
preview_html = asyncio.run(preview())
st.markdown(preview_html, unsafe_allow_html=True)
# File selection and download section
if st.session_state.discovered_files:
with st.expander("Download Options", expanded=True):
file_options = [f"{f['filename']} ({f['size']})" for f in st.session_state.discovered_files]
selected_indices = st.multiselect(
"Select files to download",
range(len(file_options)),
format_func=lambda x: file_options[x]
)
if selected_indices:
download_dir = st.text_input("Download Directory", value="./downloads")
delete_after = st.checkbox("Delete after creating ZIP?")
upload_drive = st.checkbox("Upload to Google Drive?")
if st.button("Download Selected"):
selected_files = [st.session_state.discovered_files[i] for i in selected_indices]
async def download_files():
async with DownloadManager(use_proxy=use_proxy, proxy=proxy) as dm:
paths = []
for file_info in selected_files:
with st.spinner(f"Downloading {file_info['filename']}..."):
path = await dm.download_file(
file_info,
download_dir,
st.session_state.current_url
)
if path:
paths.append(path)
return paths
downloaded_paths = asyncio.run(download_files())
if downloaded_paths:
st.success(f"Successfully downloaded {len(downloaded_paths)} files!")
# Create ZIP if needed
if len(downloaded_paths) > 1 or delete_after or upload_drive:
with tempfile.NamedTemporaryFile(delete=False, suffix='.zip') as tmp:
with zipfile.ZipFile(tmp.name, 'w') as zf:
for p in downloaded_paths:
zf.write(p, arcname=os.path.basename(p))
if upload_drive and st.session_state.google_creds:
file_id = google_drive_upload(tmp.name, st.session_state.google_creds)
if file_id and not isinstance(file_id, str):
st.success(f"Uploaded to Google Drive! File ID: {file_id}")
else:
st.error("Failed to upload to Google Drive")
if delete_after:
for p in downloaded_paths:
try:
os.remove(p)
except:
pass
elif mode == "Bing Search":
st.header("Bing Search Mode")
query = st.text_input("Enter search query")
num_results = st.slider("Number of results", 1, 50, 5)
if st.button("Search"):
if query:
async def run_search():
async with DownloadManager(
use_proxy=use_proxy,
proxy=proxy,
query=query,
num_results=num_results
) as dm:
with st.spinner("Searching..."):
return await dm.search_bing()
urls, info = asyncio.run(run_search())
if urls:
st.success(f"Found {len(urls)} results!")
for i, (url, info) in enumerate(zip(urls, info), 1):
with st.expander(f"Result {i}: {url}", expanded=i==1):
st.write(f"Snippet: {info['snippet']}")
if info['entities']:
st.write("Entities:", ', '.join(f"{e[0]} ({e[1]})" for e in info['entities']))
if st.button(f"Deep Search This Result {i}"):
st.session_state.current_url = url
async def search_result():
async with DownloadManager(use_proxy=use_proxy, proxy=proxy) as dm:
return await dm.deep_search(
url=url,
custom_ext_list=custom_extensions.split(',') if custom_extensions else [],
max_concurrency=max_concurrency
)
files = asyncio.run(search_result())
if files:
st.session_state.discovered_files = files
st.success(f"Found {len(files)} files!")
else:
st.warning("No files found.")
else:
st.warning("No results found.")
else: # PDF Summarizer mode
st.header("PDF Summarizer")
pdf_url = st.text_input("Enter PDF URL")
if st.button("Summarize"):
if pdf_url:
summary = summarize_pdf_url(pdf_url)
st.write("Summary:")
st.write(summary)
if __name__ == "__main__":
main() |