import asyncio import ctypes import json import re import httpx import websockets from loguru import logger from configs import configs _default_port = configs['browser']['port'] _executable = configs['browser']['executable'] _args = configs['browser']['args'] class Browser(object): @classmethod def connect(cls): return cls(_default_port) @classmethod def launch(cls): ctypes.windll.shell32.ShellExecuteW( None, 'runas', _executable, ' '.join([f'--remote-debugging-port={_default_port}', *_args]), None, 1 ) return cls(_default_port) def __init__(self, dev_port): self.port = dev_port async def wait_for_book(self): # 等待「教材学习」页面 async with httpx.AsyncClient() as client: while True: logger.info('等待「教材学习」页面...') try: pages = (await client.get(f'http://127.0.0.1:{self.port}/json')).json() for page in pages: if re.match(r'.*me.ismartlearning.cn/center/student/course/bookLearn\.html.*', page['url']): return Page(page['url'], page['webSocketDebuggerUrl']) except httpx.ConnectError: pass await asyncio.sleep(2) async def any_http_page(self): # 等待任意 http 页面 async with httpx.AsyncClient() as client: while True: logger.info('等待可用页面...') try: pages = (await client.get(f'http://127.0.0.1:{self.port}/json')).json() for page in pages: if re.match(r'https?://.*', page['url']): return Page(page['url'], page['webSocketDebuggerUrl']) except httpx.ConnectError: pass await asyncio.sleep(2) class Page(object): def __init__(self, url, dev_url): self.id = 0 self.url, self.dev_url = url, dev_url async def send(self, command, params): async with websockets.connect(self.dev_url) as devtools: await devtools.send(json.dumps({ 'id': self.id, 'method': command, 'params': params })) self.id += 1 return json.loads(await devtools.recv()) async def eval(self, script): result = await self.send( 'Runtime.evaluate', { 'expression': script, 'awaitPromise': True } ) return result['result'] async def submit(self, book_id, chapter_id, task_id, score, seconds, percent, user_id): model = 'NetBrowser.submitTask("%s", "%s", "%s", 0, "%d", %d, %d, "%s");' result = f'%7B%22studentid%22:{user_id},%22testInfo%22:%7B%22answerdata%22:%22%22,%22markdatao%22:%22%22%7D%7D' return await self.eval( model % (book_id, chapter_id, task_id, score, seconds, percent, result) )