#!/usr/bin/env python3
"""
Script to fetch IANA root domain database and save as JSON files
"""

import re
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin
import time
import json
import os
from datetime import datetime

def fetch_domain_details(extension, url):
    """Fetch detailed information for a specific domain extension"""
    try:
        response = requests.get(url)
        response.raise_for_status()
        
        soup = BeautifulSoup(response.content, 'html.parser')
        
        details = {
            'name_servers': [],
            'whois_server': None,
            'rdap_server': None,
            'registration_url': None,
            'record_updated': None,
            'registration_date': None,
            'iana_reports': []
        }
        
        # Extract information from the Registry Information section
        content_text = soup.get_text()
        
        # Find WHOIS Server
        whois_match = re.search(r'WHOIS Server:\s*(\S+)', content_text)
        if whois_match:
            details['whois_server'] = whois_match.group(1)
        
        # Find RDAP Server
        rdap_match = re.search(r'RDAP Server:\s*(\S+)', content_text)
        if rdap_match:
            details['rdap_server'] = rdap_match.group(1)
        
        # Find registration URL
        reg_url_match = re.search(r'URL for registration services:\s*\[([^\]]+)\]', content_text)
        if reg_url_match:
            details['registration_url'] = reg_url_match.group(1)
        
        # Find dates
        updated_match = re.search(r'Record last updated\s+(\d{4}-\d{2}-\d{2})', content_text)
        if updated_match:
            details['record_updated'] = updated_match.group(1)
        
        reg_date_match = re.search(r'Registration date\s+(\d{4}-\d{2}-\d{2})', content_text)
        if reg_date_match:
            details['registration_date'] = reg_date_match.group(1)
        
        # Find IANA Reports
        report_links = soup.find_all('a', href=re.compile(r'/reports/'))
        for link in report_links:
            details['iana_reports'].append({
                'title': link.get_text().strip(),
                'url': urljoin(url, link['href'])
            })
        
        # Look for name servers in tables and other formats
        name_servers = []
        
        # First try to find name servers in tables
        tables = soup.find_all('table')
        for table in tables:
            rows = table.find_all('tr')
            for row in rows:
                cells = row.find_all(['td', 'th'])
                if len(cells) >= 1:
                    # Check if first cell looks like a name server
                    first_cell = cells[0].get_text().strip()
                    if '.' in first_cell and not first_cell.startswith('http'):
                        # This might be a name server
                        name_servers.append(first_cell)
        
        # If no tables found, try text patterns
        if not name_servers:
            # Look for name servers in text content
            ns_patterns = [
                r'([a-zA-Z0-9.-]+\.nic\.[a-zA-Z]{2,})',  # *.nic.tld pattern
                r'([a-zA-Z0-9.-]+\.[a-zA-Z]{2,}\s+[0-9.]+)',  # hostname + IP pattern
                r'(ns[0-9]*\.[a-zA-Z0-9.-]+\.[a-zA-Z]{2,})',  # ns*.domain.tld pattern
                r'([a-zA-Z0-9.-]+\.[a-zA-Z]{2,})\s+[0-9.]+\s+[0-9a-fA-F:]+'  # hostname + IPv4 + IPv6
            ]
            
            for pattern in ns_patterns:
                matches = re.findall(pattern, content_text, re.IGNORECASE)
                for match in matches:
                    if isinstance(match, tuple):
                        # If regex returns groups, take the first one
                        ns_name = match[0] if match[0] else match[1] if len(match) > 1 else ''
                    else:
                        ns_name = match
                    
                    if ns_name and '.' in ns_name and len(ns_name) > 5:
                        name_servers.append(ns_name.strip())
        
        # Also try to find name servers in pre/code blocks
        pre_blocks = soup.find_all(['pre', 'code'])
        for block in pre_blocks:
            block_text = block.get_text().strip()
            lines = block_text.split('\n')
            for line in lines:
                # Look for lines that contain server names
                if re.match(r'^[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}', line.strip()):
                    parts = line.strip().split('\t')
                    if parts:
                        name_servers.append(parts[0].strip())
        
        # Remove duplicates and clean up
        details['name_servers'] = list(set([ns for ns in name_servers if ns and len(ns) > 3]))
        
        print(f"  - WHOIS: {details['whois_server']}")
        print(f"  - RDAP: {details['rdap_server']}")
        print(f"  - Registration URL: {details['registration_url']}")
        print(f"  - Name Servers: {details['name_servers']}")
        
        return details
        
    except Exception as e:
        print(f"Error fetching details for {extension}: {e}")
        return {
            'name_servers': [],
            'whois_server': None,
            'rdap_server': None,
            'registration_url': None,
            'record_updated': None,
            'registration_date': None,
            'iana_reports': []
        }

def fetch_iana_domains():
    """Fetch all domain extensions from IANA root database"""
    base_url = "https://www.iana.org/domains/root/db"
    
    print("Fetching IANA root domain database...")
    response = requests.get(base_url)
    response.raise_for_status()
    
    soup = BeautifulSoup(response.content, 'html.parser')
    
    # Find the main table with domain information
    domains = []
    
    # Look for the first table that contains domain data
    tables = soup.find_all('table')
    main_table = None
    
    for table in tables:
        rows = table.find_all('tr')
        if len(rows) > 1:  # Check if table has data rows
            # Check if first row contains our expected headers
            first_row = rows[0]
            headers = [cell.get_text().strip() for cell in first_row.find_all(['th', 'td'])]
            if 'Domain' in headers and 'Type' in headers and 'TLD Manager' in headers:
                main_table = table
                break
    
    if not main_table:
        print("Could not find the main domain table!")
        return domains
    
    # Extract data from the main table
    rows = main_table.find_all('tr')[1:]  # Skip header row
    
    for row in rows:
        cells = row.find_all(['td', 'th'])
        if len(cells) >= 3:
            domain_text = cells[0].get_text().strip()
            domain_type = cells[1].get_text().strip()
            manager = cells[2].get_text().strip()
            
            # Remove leading dot from domain
            if domain_text.startswith('.'):
                domain_text = domain_text[1:]
            
            if domain_text and len(domain_text) > 0:
                url = urljoin(base_url, f"/domains/root/db/{domain_text}.html")
                
                domains.append({
                    'extension': domain_text,
                    'url': url,
                    'type': domain_type if domain_type else None,
                    'manager': manager if manager else None
                })
    
    print(f"Found {len(domains)} domain extensions from main table")
    return domains

def get_domain_type_and_manager(soup, extension, details):
    """Extract domain type and TLD manager from the individual domain page"""
    # Look for domain type in parentheses
    type_pattern = re.compile(r'\(([^)]*top-level domain[^)]*)\)')
    
    # Search in all text content
    content = soup.get_text()
    type_match = type_pattern.search(content)
    domain_type = type_match.group(1) if type_match else None
    
    # Extract TLD Manager from Sponsoring Organisation
    manager = None
    
    # Look for "Sponsoring Organisation" header and get the next bold text
    h2_tags = soup.find_all('h2')
    for h2 in h2_tags:
        if 'Sponsoring Organisation' in h2.get_text():
            # Get the next bold tag after this h2
            next_bold = h2.find_next('b')
            if next_bold:
                manager = next_bold.get_text().strip()
                break
    
    # If no manager found from sponsoring org, try registration URL
    if not manager and details.get('registration_url'):
        reg_url = details['registration_url']
        # Extract domain name as manager
        url_match = re.search(r'https?://(?:www\.)?([^/]+)', reg_url)
        if url_match:
            manager = url_match.group(1)
        else:
            # If it's just a URL without protocol, use as is
            manager = reg_url.replace('http://', '').replace('https://', '').replace('www.', '')
    
    # If still no manager found, try other patterns
    if not manager:
        registry_patterns = [
            r'Registry[:\s]+([^\n]+)',
            r'Sponsor[:\s]+([^\n]+)',
            r'Manager[:\s]+([^\n]+)',
            r'Organization[:\s]+([^\n]+)'
        ]
        
        for pattern in registry_patterns:
            match = re.search(pattern, content, re.IGNORECASE)
            if match:
                manager = match.group(1).strip()
                break
    
    return domain_type, manager

def main():
    # Create data directory if it doesn't exist
    data_dir = 'data'
    if not os.path.exists(data_dir):
        os.makedirs(data_dir)
        print(f"Created {data_dir} directory")
    
    try:
        # Fetch domain list from IANA
        domains = fetch_iana_domains()
        
        if not domains:
            print("No domains found. Exiting.")
            return
        
        total_domains = len(domains)
        processed_count = 0
        
        # Process each domain
        for i, domain in enumerate(domains, 1):
            extension = domain['extension']
            url = domain['url']
            
            print(f"\nProcessing {extension} ({i}/{total_domains})...")
            
            # Fetch detailed information (name servers, WHOIS, RDAP, etc.)
            details = fetch_domain_details(extension, url)
            
            # Use pre-extracted type and manager from main table
            domain_type = domain.get('type')
            manager = domain.get('manager')
            
            print(f"  - Domain Type: {domain_type}")
            print(f"  - TLD Manager: {manager}")
            
            # Create document for JSON
            document = {
                'extension': extension,
                'url': url,
                'type': domain_type,
                'manager': manager,
                'whois_server': details['whois_server'],
                'rdap_server': details['rdap_server'],
                'registration_url': details['registration_url'],
                'name_servers': details['name_servers'],
                'record_updated': details['record_updated'],
                'registration_date': details['registration_date'],
                'iana_reports': details['iana_reports'],
                'fetched_at': datetime.now().isoformat()
            }
            
            # Save as individual JSON file
            filename = os.path.join(data_dir, f"{extension}.json")
            with open(filename, 'w', encoding='utf-8') as f:
                json.dump(document, f, indent=2, ensure_ascii=False)
            
            processed_count += 1
            print(f"  ✓ Saved {extension}.json")
            
            # Add a 3-second delay to be respectful to the server
            time.sleep(3)
        
        # Create a summary JSON file with all domains
        summary_file = os.path.join(data_dir, 'all_domains.json')
        summary_data = {
            'total_domains': total_domains,
            'processed_domains': processed_count,
            'fetched_at': datetime.now().isoformat(),
            'domains': []
        }
        
        # Add basic info for all domains
        for domain in domains:
            summary_data['domains'].append({
                'extension': domain['extension'],
                'type': domain.get('type'),
                'manager': domain.get('manager'),
                'url': domain['url']
            })
        
        with open(summary_file, 'w', encoding='utf-8') as f:
            json.dump(summary_data, f, indent=2, ensure_ascii=False)
        
        print(f"\n✅ Total extensions processed: {processed_count}")
        print(f"✅ Individual JSON files saved in {data_dir}/")
        print(f"✅ Summary file saved as {summary_file}")
        
        # Show statistics by type
        type_stats = {}
        for domain in domains:
            dtype = domain.get('type')
            if dtype:
                type_stats[dtype] = type_stats.get(dtype, 0) + 1
        
        print(f"\nDomain types:")
        for dtype, count in sorted(type_stats.items(), key=lambda x: x[1], reverse=True):
            print(f"  {dtype}: {count}")
        
    except Exception as e:
        print(f"Error: {e}")

if __name__ == "__main__":
    main()