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import json
import os
import re
import time
import logging
import mimetypes
import concurrent.futures
import string
import zipfile
import tempfile
from datetime import datetime
from typing import List, Dict, Optional, Union
from pathlib import Path
from urllib.parse import urlparse
import requests
import validators
import gradio as gr
from diskcache import Cache
from bs4 import BeautifulSoup
from fake_useragent import UserAgent
from ratelimit import limits, sleep_and_retry
from cleantext import clean
# Setup logging with detailed configuration
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - [%(filename)s:%(lineno)d] - %(message)s',
handlers=[
logging.StreamHandler(),
logging.FileHandler('app.log', encoding='utf-8')
]
)
logger = logging.getLogger(__name__)
class URLProcessor:
def __init__(self):
self.session = requests.Session()
self.timeout = 10 # seconds
self.session.headers.update({
'User-Agent': UserAgent().random,
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'Accept-Language': 'en-US,en;q=0.5',
'Accept-Encoding': 'gzip, deflate, br',
'Connection': 'keep-alive',
'Upgrade-Insecure-Requests': '1'
})
def advanced_text_cleaning(self, text: str) -> str:
"""Robust text cleaning with version compatibility"""
try:
cleaned_text = clean(
text,
fix_unicode=True,
to_ascii=True,
lower=True,
no_line_breaks=True,
no_urls=True,
no_emails=True,
no_phone_numbers=True,
no_numbers=False,
no_digits=False,
no_currency_symbols=True,
no_punct=False
).strip()
return cleaned_text
except Exception as e:
logger.warning(f"Text cleaning error: {e}. Using fallback method.")
text = re.sub(r'[\x00-\x1F\x7F-\x9F]', '', text) # Remove control characters
text = text.encode('ascii', 'ignore').decode('ascii') # Remove non-ASCII characters
text = re.sub(r'\s+', ' ', text) # Normalize whitespace
return text.strip()
def validate_url(self, url: str) -> Dict:
"""Validate URL format and accessibility"""
try:
if not validators.url(url):
return {'is_valid': False, 'message': 'Invalid URL format'}
response = self.session.head(url, timeout=self.timeout)
response.raise_for_status()
return {'is_valid': True, 'message': 'URL is valid and accessible'}
except Exception as e:
return {'is_valid': False, 'message': f'URL validation failed: {str(e)}'}
def fetch_content(self, url: str) -> Optional[Dict]:
"""Universal content fetcher with special case handling"""
try:
# Google Drive document handling
if 'drive.google.com' in url:
return self._handle_google_drive(url)
# Google Calendar ICS handling
if 'calendar.google.com' in url and 'ical' in url:
return self._handle_google_calendar(url)
# Standard HTML processing
return self._fetch_html_content(url)
except Exception as e:
logger.error(f"Content fetch failed: {e}")
return None
def _handle_google_drive(self, url: str) -> Optional[Dict]:
"""Process Google Drive file links"""
try:
file_id = re.search(r'/file/d/([a-zA-Z0-9_-]+)', url)
if not file_id:
logger.error(f"Invalid Google Drive URL: {url}")
return None
direct_url = f"https://drive.google.com/uc?export=download&id={file_id.group(1)}"
response = self.session.get(direct_url, timeout=self.timeout)
response.raise_for_status()
return {
'content': response.text,
'content_type': response.headers.get('Content-Type', ''),
'timestamp': datetime.now().isoformat()
}
except Exception as e:
logger.error(f"Google Drive processing failed: {e}")
return None
def _handle_google_calendar(self, url: str) -> Optional[Dict]:
"""Process Google Calendar ICS feeds"""
try:
response = self.session.get(url, timeout=self.timeout)
response.raise_for_status()
return {
'content': response.text,
'content_type': 'text/calendar',
'timestamp': datetime.now().isoformat()
}
except Exception as e:
logger.error(f"Calendar fetch failed: {e}")
return None
def _fetch_html_content(self, url: str) -> Optional[Dict]:
"""Standard HTML content processing"""
try:
response = self.session.get(url, timeout=self.timeout)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# Remove unwanted elements
for element in soup(['script', 'style', 'nav', 'footer', 'header', 'meta', 'link']):
element.decompose()
# Extract main content
main_content = soup.find('main') or soup.find('article') or soup.body
# Clean and structure content
text_content = main_content.get_text(separator='\n', strip=True)
cleaned_content = self.advanced_text_cleaning(text_content)
return {
'content': cleaned_content,
'content_type': response.headers.get('Content-Type', ''),
'timestamp': datetime.now().isoformat()
}
except Exception as e:
logger.error(f"HTML processing failed: {e}")
return None
class FileProcessor:
"""Class to handle file processing"""
def __init__(self, max_file_size: int = 10 * 1024 * 1024): # 10MB default
self.max_file_size = max_file_size
self.supported_text_extensions = {'.txt', '.md', '.csv', '.json', '.xml'}
def is_text_file(self, filepath: str) -> bool:
"""Check if file is a text file"""
try:
mime_type, _ = mimetypes.guess_type(filepath)
return (mime_type and mime_type.startswith('text/')) or \
(os.path.splitext(filepath)[1].lower() in self.supported_text_extensions)
except Exception:
return False
def process_file(self, file) -> List[Dict]:
"""Process uploaded file with enhanced error handling"""
if not file:
return []
dataset = []
try:
file_size = os.path.getsize(file.name)
if file_size > self.max_file_size:
logger.warning(f"File size ({file_size} bytes) exceeds maximum allowed size")
return []
with tempfile.TemporaryDirectory() as temp_dir:
if zipfile.is_zipfile(file.name):
dataset.extend(self._process_zip_file(file.name, temp_dir))
else:
dataset.extend(self._process_single_file(file))
except Exception as e:
logger.error(f"Error processing file: {str(e)}")
return []
return dataset
def _process_zip_file(self, zip_path: str, temp_dir: str) -> List[Dict]:
"""Process ZIP file contents"""
results = []
with zipfile.ZipFile(zip_path, 'r') as zip_ref:
zip_ref.extractall(temp_dir)
for root, _, files in os.walk(temp_dir):
for filename in files:
filepath = os.path.join(root, filename)
if self.is_text_file(filepath):
try:
with open(filepath, 'r', encoding='utf-8', errors='ignore') as f:
content = f.read()
if content.strip():
results.append({
"source": "file",
"filename": filename,
"content": content,
"timestamp": datetime.now().isoformat()
})
except Exception as e:
logger.error(f"Error reading file {filename}: {str(e)}")
return results
def _process_single_file(self, file) -> List[Dict]:
try:
file_stat = os.stat(file.name)
with open(file.name, 'r', encoding='utf-8', errors='ignore') as f:
content = f.read()
return [{
'source': 'file',
'filename': os.path.basename(file.name),
'file_size': file_stat.st_size,
'mime_type': mimetypes.guess_type(file.name)[0],
'created': datetime.fromtimestamp(file_stat.st_ctime).isoformat(),
'modified': datetime.fromtimestamp(file_stat.st_mtime).isoformat(),
'content': content,
'timestamp': datetime.now().isoformat()
}]
except Exception as e:
logger.error(f"File processing error: {e}")
return []
def create_interface():
"""Create a comprehensive Gradio interface with advanced features"""
css = """
.container { max-width: 1200px; margin: auto; }
.warning { background-color: #fff3cd; color: #856404; }
.error { background-color: #f8d7da; color: #721c24; }
"""
with gr.Blocks(css=css, title="Advanced Text & URL Processor") as interface:
gr.Markdown("# 🌐 Advanced URL & Text Processing Toolkit")
with gr.Tab("URL Processing"):
url_input = gr.Textbox(
label="Enter URLs (comma or newline separated)",
lines=5,
placeholder="https://example1.com\nhttps://example2.com"
)
with gr.Tab("File Input"):
file_input = gr.File(
label="Upload text file or ZIP archive",
file_types=[".txt", ".zip", ".md", ".csv", ".json", ".xml"]
)
with gr.Tab("Text Input"):
text_input = gr.Textbox(
label="Raw Text Input",
lines=5,
placeholder="Paste your text here..."
)
process_btn = gr.Button("Process Input", variant="primary")
output_text = gr.Textbox(label="Processing Results", interactive=False)
output_file = gr.File(label="Processed Output")
def process_all_inputs(urls, file, text):
"""Process all input types with progress tracking"""
try:
processor = URLProcessor()
file_processor = FileProcessor()
results = []
# Process URLs
if urls:
url_list = re.split(r'[,\n]', urls)
url_list = [url.strip() for url in url_list if url.strip()]
for url in url_list:
validation = processor.validate_url(url)
if validation.get('is_valid'):
content = processor.fetch_content(url)
if content:
results.append({
'source': 'url',
'url': url,
'content': content,
'timestamp': datetime.now().isoformat()
})
# Process files
if file:
results.extend(file_processor.process_file(file))
# Process text input
if text:
cleaned_text = processor.advanced_text_cleaning(text)
results.append({
'source': 'direct_input',
'content': cleaned_text,
'timestamp': datetime.now().isoformat()
})
# Generate output
if results:
output_dir = Path('output') / datetime.now().strftime('%Y-%m-%d')
output_dir.mkdir(parents=True, exist_ok=True)
output_path = output_dir / f'processed_{int(time.time())}.json'
with open(output_path, 'w', encoding='utf-8') as f:
json.dump(results, f, ensure_ascii=False, indent=2)
summary = f"Processed {len(results)} items successfully!"
# Convert Path object to string here
return str(output_path), summary
else:
return None, "No valid content to process."
except Exception as e:
logger.error(f"Processing error: {e}")
return None, f"Error: {str(e)}"
process_btn.click(
process_all_inputs,
inputs=[url_input, file_input, text_input],
outputs=[output_file, output_text]
)
gr.Markdown("""
### Usage Guidelines
- **URL Processing**: Enter valid HTTP/HTTPS URLs
- **File Input**: Upload text files or ZIP archives
- **Text Input**: Direct text processing
- Advanced cleaning and validation included
""")
return interface
def main():
# Configure system settings
mimetypes.init()
# Create and launch interface
interface = create_interface()
# Launch with proper configuration
interface.launch(
server_name="0.0.0.0",
server_port=7860,
show_error=True,
share=False,
inbrowser=True,
debug=True
)
if __name__ == "__main__":
main()