改进代码import requests with open('PRRSV.txt','r') as f: file_names = f.readlines() for file_name in file_names: file_name = file_name.strip() url = f"ftp://ftp.ncbi.nlm.nih.gov/genomes/genbank/all/{file_name}/{file_name}_genomic.gbff.gz" response = requests.get(url) with open(f'{file_name}.gbff.gz', 'wb') as f: f.write(response.content)

你的代码似乎是从NCBI下载一些基因组数据文件，然后保存到本地。如果你想改进代码，可以考虑以下几点： 1. 引入异常处理机制，以应对可能出现的网络连接异常、文件读写异常等情况。 2. 使用多线程或异步IO等技术，以提高下载的效率。 3. 将文件的下载和保存分开，以便于维护和修改。 4. 添加一些日志记录，以便于排查问题和追踪程序的执行情况。 下面是一个可能的改进版本的代码示例，供你参考： ```python import os import logging import requests import concurrent.futures # 设置日志记录器 logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') sh = logging.StreamHandler() sh.setLevel(logging.DEBUG) sh.setFormatter(formatter) logger.addHandler(sh) # 设置下载目录和线程数 DOWNLOAD_DIR = 'genomes' THREADS = 4 # 下载文件的函数 def download_file(url, file_path): try: logger.debug(f"downloading {url}") response = requests.get(url, stream=True) response.raise_for_status() with open(file_path, 'wb') as f: for chunk in response.iter_content(chunk_size=1024): f.write(chunk) logger.debug(f"downloaded {file_path}") except Exception as e: logger.error(f"failed to download {url}: {e}") # 下载文件列表中的所有文件 def download_files(file_list): with concurrent.futures.ThreadPoolExecutor(max_workers=THREADS) as executor: futures = [] for file_name in file_list: file_name = file_name.strip() url = f"ftp://ftp.ncbi.nlm.nih.gov/genomes/genbank/all/{file_name}/{file_name}_genomic.gbff.gz" file_path = os.path.join(DOWNLOAD_DIR, f"{file_name}.gbff.gz") os.makedirs(os.path.dirname(file_path), exist_ok=True) futures.append(executor.submit(download_file, url, file_path)) for future in concurrent.futures.as_completed(futures): future.result() # 主函数 def main(): with open('PRRSV.txt', 'r') as f: file_names = f.readlines() download_files(file_names) if __name__ == '__main__': main() ```