que opinas de este codigo y calidad?
import asyncio
import aiohttp
from bs4 import BeautifulSoup
import json
from typing import List, Dict, Optional
import ssl
import logging
from datetime import datetime
import colorlog

# Configure logging
handler = colorlog.StreamHandler()
handler.setFormatter(colorlog.ColoredFormatter(
    '%(log_color)s%(asctime)s [%(levelname)s] %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S',
    log_colors={
        'DEBUG':    'light_cyan',
        'INFO':     'light_green',
        'WARNING':  'light_yellow',
        'ERROR':    'light_red',
        'CRITICAL': 'light_red,bg_white',
    }
))

logger = colorlog.getLogger(__name__)
logger.addHandler(handler)
logger.setLevel(logging.INFO)

# Remove any existing handlers to avoid duplicate logs
for hdlr in logger.handlers[:-1]:
    logger.removeHandler(hdlr)

# Configuration settings
CONFIG = {
    'base_url': 'https://10.0.0.2',
    'username': 'misael_campos',
    'password': 'd337O8AetR3p4',
    'output_json': 'aggregated_pon_onu_data.json',
    'post_endpoint': '/action/pononuopticalinfo.html',
    'who': 100,
    'onuid': 0,
    'pon_range': range(1, 17),
    'onu_group_range': range(0, 2),
    'request_timeout': aiohttp.ClientTimeout(
        total=240,      # Total operation timeout
        connect=120,   # Connection timeout
        sock_read=120  # Socket read timeout
    ),
    'max_concurrent_requests': 8,  # Reduced to prevent server overload
    'max_retries': 3,              # Maximum number of retry attempts
    'retry_delay': 1,              # Delay between retries in seconds
    'batch_size': 8                # Number of concurrent requests per batch
}

class AsyncScraper:
    def __init__(self, base_url: str):
        self.base_url = base_url.rstrip('/')
        self.ssl_context = ssl.create_default_context()
        self.ssl_context.check_hostname = False
        self.ssl_context.verify_mode = ssl.CERT_NONE
        self.session = None
        self.sem = asyncio.Semaphore(CONFIG['max_concurrent_requests'])

    async def __aenter__(self):
        timeout = CONFIG['request_timeout']
        self.session = aiohttp.ClientSession(
            connector=aiohttp.TCPConnector(
                ssl=self.ssl_context,
                limit=CONFIG['max_concurrent_requests']
            ),
            timeout=timeout,
            headers={'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'}
        )
        return self

    async def __aexit__(self, exc_type, exc_val, exc_tb):
        if self.session:
            await self.session.close()

    async def login(self, username: str, password: str) -> bool:
        login_url = f"{self.base_url}/action/main.html"
        login_data = {
            'user': username,
            'pass': password,
            'button': 'Login',
            'who': '100',
        }
        
        for attempt in range(CONFIG['max_retries']):
            try:
                async with self.session.post(login_url, data=login_data) as response:
                    text = await response.text()
                    if "Sorry, you do not have access" in text:
                        logger.error("Login failed: Access denied")
                        return False
                    elif "Error" in text or "Incorrect password" in text:
                        logger.error("Login failed: Incorrect credentials")
                        return False
                    logger.info("Login successful!")
                    return True
            except Exception as e:
                logger.error(f"Login attempt {attempt + 1} failed: {e}")
                if attempt < CONFIG['max_retries'] - 1:
                    await asyncio.sleep(CONFIG['retry_delay'])
                else:
                    return False

    async def fetch_pon_onu_optical_info(self, pon: int, onu_group: int) -> Optional[str]:
        async with self.sem:
            post_url = f"{self.base_url}{CONFIG['post_endpoint']}"
            payload = {
                'pon': pon,
                'onu_group': onu_group,
                'who': CONFIG['who'],
                'onuid': CONFIG['onuid']
            }
            
            for attempt in range(CONFIG['max_retries']):
                try:
                    async with self.session.post(post_url, data=payload) as response:
                        if response.status == 200:
                            content = await response.text()
                            logger.info(f"Successfully fetched data for PON {pon}, ONU Group {onu_group} (Attempt {attempt + 1})")
                            return content
                        else:
                            logger.warning(f"Error {response.status} for PON {pon}, ONU Group {onu_group} (Attempt {attempt + 1})")
                except asyncio.TimeoutError:
                    logger.warning(f"Timeout fetching PON {pon}, ONU Group {onu_group} (Attempt {attempt + 1})")
                except Exception as e:
                    logger.warning(f"Error fetching PON {pon}, ONU Group {onu_group} (Attempt {attempt + 1}): {e}")
                
                if attempt < CONFIG['max_retries'] - 1:
                    await asyncio.sleep(CONFIG['retry_delay'])
                    logger.info(f"Retrying PON {pon}, ONU Group {onu_group}...")
                else:
                    logger.error(f"All attempts failed for PON {pon}, ONU Group {onu_group}")
            
            return None

def parse_html_table(html_content: str) -> List[Dict[str, Optional[str]]]:
    if not html_content:
        return []
        
    soup = BeautifulSoup(html_content, 'html.parser')
    table = soup.find('table', border="1", cellpadding="4", cellspacing="0")
    
    if not table:
        logger.warning("No table found in the HTML content.")
        return []

    headers = []
    header_row = table.find('tr')
    if not header_row:
        logger.warning("No header row found in the table.")
        return []

    for th in header_row.find_all(['td', 'th']):
        header_text = th.get_text(strip=True)
        headers.append(header_text if header_text else f"Column_{len(headers)+1}")

    data = []
    for row in table.find_all('tr')[1:]:
        cells = row.find_all('td')
        if len(cells) != len(headers):
            logger.warning("Row does not match header length. Skipping row.")
            continue

        row_data = {
            header: cell.get_text(strip=True) or None
            for header, cell in zip(headers, cells)
        }
        data.append(row_data)

    return data

async def fetch_and_parse(scraper: AsyncScraper, pon: int, onu_group: int) -> Dict[int, Dict[int, List[Dict[str, Optional[str]]]]]:
    html_content = await scraper.fetch_pon_onu_optical_info(pon, onu_group)
    parsed_data = parse_html_table(html_content) if html_content else []
    if not parsed_data:
        logger.warning(f"No data parsed for PON {pon}, ONU Group {onu_group}.")
    return {pon: {onu_group: parsed_data}}

async def process_batch(scraper: AsyncScraper, batch: List[tuple]) -> List[Dict]:
    tasks = [fetch_and_parse(scraper, pon, onu_group) for pon, onu_group in batch]
    return await asyncio.gather(*tasks, return_exceptions=True)

async def main():
    start_time = datetime.now()
    logger.info(f"Starting data collection at {start_time}")

    async with AsyncScraper(CONFIG['base_url']) as scraper:
        if not await scraper.login(CONFIG['username'], CONFIG['password']):
            return

        # Create all combinations of PON and ONU groups
        all_combinations = [
            (pon, onu_group)
            for pon in CONFIG['pon_range']
            for onu_group in CONFIG['onu_group_range']
        ]

        # Process in batches
        aggregated_data: Dict[int, Dict[int, List[Dict[str, Optional[str]]]]] = {}
        for i in range(0, len(all_combinations), CONFIG['batch_size']):
            batch = all_combinations[i:i + CONFIG['batch_size']]
            logger.info(f"Processing batch {i//CONFIG['batch_size'] + 1}")
            
            results = await process_batch(scraper, batch)
            
            for result in results:
                if isinstance(result, Exception):
                    logger.error(f"Batch task failed with exception: {result}")
                    continue
                    
                for pon, onu_data in result.items():
                    if pon not in aggregated_data:
                        aggregated_data[pon] = {}
                    aggregated_data[pon].update(onu_data)

        # Save results
        with open(CONFIG['output_json'], 'w', encoding='utf-8') as f:
            json.dump(aggregated_data, f, indent=4)
        
        end_time = datetime.now()
        duration = end_time - start_time
        logger.info(f"\nData fetching complete. Duration: {duration}")

if __name__ == "__main__":
    asyncio.run(main())