def main(self): start_response = self.get_response(url=self.start_url) self.parse_start_url(response=start_response) [pool.submit(self.parse_book_info, self.queue.get()) for i in range(self.queue.qsize())]

这是一个主函数`main()`的代码片段。在这个函数中，首先调用`get_response()`方法获取起始页面的响应，并将响应保存在`start_response`变量中。然后，调用`parse_start_url()`方法对起始页面的响应进行解析。

接下来，使用列表推导式并发地提交任务到线程池中。使用`self.queue.get()`从队列中获取待处理的任务，并调用`parse_book_info()`方法对任务进行解析。`range(self.queue.qsize())`指定了循环的次数，确保每个任务都被处理。

这段代码的目的是通过多线程并发地解析图书信息。通过使用线程池和队列来管理任务，可以提高解析的效率。

请注意，这只是代码片段的一部分，缺少了前面的方法定义和可能的变量声明。完整的代码可能包含更多的逻辑和功能。

相关问题

import requestsfrom html.parser import HTMLParserimport argparsefrom concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor, as_completedimport multiprocessingprefix = "save/"readed_path = multiprocessing.Manager().Queue()cur_path = multiprocessing.Manager().Queue()new_path = multiprocessing.Manager().Queue()lock = multiprocessing.Lock()class MyHttpParser(HTMLParser): def __init__(self): super().__init__() self.tag = [] self.href = "" self.txt = "" def handle_starttag(self, tag, attrs): self.tag.append(tag) if tag == "a": for att in attrs: if att[0] == 'href': self.href = att[1] def handle_endtag(self, tag): if tag == "a" and len(self.tag) > 2 and self.tag[-2] == "div": print("in div, link txt is %s ." % self.txt) print("in div, link url is %s ." % self.href) if not self.href in readed_path.queue: readed_path.put(self.href) new_path.put(self.href) self.tag.pop(-1) def handle_data(self, data): if len(self.tag) >= 1 and self.tag[-1] == "a": self.txt = datadef LoadHtml(path, file_path): if len(file_path) == 0: file_path = "/" url = f"http://{path}{file_path}" try: response = requests.get(url) print(response.status_code, response.reason, response.raw.version) data = response.content.decode("utf-8") if response.status_code == 301: data = response.headers["Location"] if not data in readed_path.queue: new_path.put(data) data = "" return data except Exception as e: print(e.args)def ParseArgs(): parser = argparse.ArgumentParser() parser.add_argument("-p", "--path", help="domain name") parser.add_argument("-d", "--deep", type=int, help="recursion depth") args = parser.parse_args() return argsdef formatPath(path): path = path.removeprefix("https://") path = path.removeprefix("http://") path = path.removeprefix("//") return pathdef doWork(path): path = formatPath(path) m = path.find("/") if m == -1: m = len(path) data = LoadHtml(path[:m], path[m:]) with open(prefix + path[:m] + ".html", "w+", encoding="utf-8") as f: f.write(data) parse.feed(data)def work(maxdeep): args = ParseArgs() cur_path.put(formatPath(args.path)) readed_path.put(formatPath(args.path)) parse = MyHttpParser() with ProcessPoolExecutor(max_workers=4) as executor: for i in range(args.deep): size = cur_path.qsize() futures = [executor.submit(doWork, cur_path.get()) for _ in range(size)] for future in as_completed(futures): try: future.result() except Exception as e: print(e) cur_path.queue.clear() while not new_path.empty(): cur_path.put(new_path.get()) print(i)if __name__ == '__main__': work(5)此代码出现Unresolved reference 'parse'

这是因为您在 `doWork` 函数中使用了 `parse` 变量，但是该变量未在 `doWork` 函数中定义或传递。您需要将 `parse` 变量作为参数传递给 `doWork` 函数，或者将其定义为全局变量，以便在 `doWork` 函数中使用它。如果您决定使用全局变量，请确保在使用它之前已经对其进行了定义。

import http.client from html.parser import HTMLParser import argparse from concurrent.futures import ThreadPoolExecutor import multiprocessing.pool prefix = "save/" readed_path = multiprocessing.Manager().list() cur_path = multiprocessing.Manager().list() new_path = multiprocessing.Manager().list() lock = multiprocessing.Lock() class MyHttpParser(HTMLParser): def __init__(self): HTMLParser.__init__(self) self.tag = [] self.href = "" self.txt = "" def handle_starttag(self, tag, attrs): self.tag.append(tag) # print("start tag in list :" + str(self.tag)) if tag == "a": for att in attrs: if att[0] == 'href': self.href = att[1] def handle_endtag(self, tag): if tag == "a" and len(self.tag) > 2 and self.tag[-2] == "div": print("in div, link txt is %s ." % self.txt) print("in div, link url is %s ." % self.href) lock.acquire() if not self.href in readed_path: readed_path.append(self.href) new_path.append(self.href) # print("end tag in list :" + str(self.tag)) lock.release() self.tag.pop(-1) def handle_data(self, data): if len(self.tag) >= 1 and self.tag[-1] == "a": self.txt = data def LoadHtml(path, file_path): if len(file_path) == 0: file_path = "/" conn = http.client.HTTPConnection(path) try: conn.request("GET", file_path) response = conn.getresponse() print(response.status, response.reason, response.version) data = response.read().decode("utf-8") if response.status == 301: data = response.getheader("Location") lock.acquire() new_path.append(data) lock.release() data = "" #print(data) conn.close() return data except Exception as e: print(e.args) def ParseArgs(): # 初始化解析器 parser = argparse.ArgumentParser() # 定义参数 parser.add_argument("-p", "--path", help="域名") parser.add_argument("-d", "--deep", type=int, help="递归深度") # 解析 args = parser.parse_args() return args def formatPath(path): path = path.removeprefix("https://") path = path.removeprefix("http://") path = path.removeprefix("//") return path def doWork(path): path = formatPath(path) m = path.find("/") if m == -1: m = len(path) data = LoadHtml(path[:m], path[m:]) with open(prefix + path[:m] + ".html", "w+", encoding="utf-8") as f: f.write(data) parse.feed(data) def work(deep,maxdeep): if deep > maxdeep: return args = ParseArgs() cur_path.append(formatPath(args.path)) readed_path.append(formatPath(args.path)) parse = MyHttpParser() e = multiprocessing.Pool(4) for i in range(args.deep): size = len(cur_path) e.map(doWork,cur_path) cur_path[:]=[] for p in new_path: cur_path.append(p) new_path[:]=[] print(i)优化此代码能在windows下运行

在Windows下，`multiprocessing` 库不支持在交互式（interactive）窗口下运行，需要将其放在一个独立的脚本中运行。另外，如果要使用 `multiprocessing.Manager().list()` 实现进程间共享数据，需要使用 `multiprocessing.Manager()` 返回的对象来创建进程池（`multiprocessing.Pool()`）。

以下是对代码的优化：

1. 将 `multiprocessing.Manager().list()` 替换为 `multiprocessing.Manager().Queue()`，因为 Queue 更适合用于进程间通信。

2. 将 `multiprocessing.Pool()` 替换为 `concurrent.futures.ProcessPoolExecutor()`，因为后者可以更好地处理进程池中的异常。

3. 将 `work()` 函数改为使用 `concurrent.futures.ProcessPoolExecutor()` 来执行任务。

4. 将 `MyHttpParser` 类的属性（`tag`、`href`、`txt`）改为实例属性，因为多个进程可能同时访问这些属性。

5. 在 `doWork()` 函数中，改为使用 `requests` 库来发送 HTTP 请求，因为它比 `http.client` 更易用。

以下是优化后的代码：

import requests
from html.parser import HTMLParser
import argparse
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor, as_completed
import multiprocessing

prefix = "save/"
readed_path = multiprocessing.Manager().Queue()
cur_path = multiprocessing.Manager().Queue()
new_path = multiprocessing.Manager().Queue()
lock = multiprocessing.Lock()

class MyHttpParser(HTMLParser):
    def __init__(self):
        super().__init__()
        self.tag = []
        self.href = ""
        self.txt = ""

    def handle_starttag(self, tag, attrs):
        self.tag.append(tag)
        if tag == "a":
            for att in attrs:
                if att[0] == 'href':
                    self.href = att[1]

    def handle_endtag(self, tag):
        if tag == "a" and len(self.tag) > 2 and self.tag[-2] == "div":
            print("in div, link txt  is %s ." % self.txt)
            print("in div, link url  is %s ." % self.href)
            if not self.href in readed_path.queue:
                readed_path.put(self.href)
                new_path.put(self.href)
            self.tag.pop(-1)

    def handle_data(self, data):
        if len(self.tag) >= 1 and self.tag[-1] == "a":
            self.txt = data

def LoadHtml(path, file_path):
    if len(file_path) == 0:
        file_path = "/"
    url = f"http://{path}{file_path}"
    try:
        response = requests.get(url)
        print(response.status_code, response.reason, response.raw.version)
        data = response.content.decode("utf-8")
        if response.status_code == 301:
            data = response.headers["Location"]
            if not data in readed_path.queue:
                new_path.put(data)
            data = ""
        return data
    except Exception as e:
        print(e.args)

def ParseArgs():
    parser = argparse.ArgumentParser()
    parser.add_argument("-p", "--path", help="domain name")
    parser.add_argument("-d", "--deep", type=int, help="recursion depth")
    args = parser.parse_args()
    return args

def formatPath(path):
    path = path.removeprefix("https://")
    path = path.removeprefix("http://")
    path = path.removeprefix("//")
    return path

def doWork(path):
    path = formatPath(path)
    m = path.find("/")
    if m == -1:
        m = len(path)
    data = LoadHtml(path[:m], path[m:])
    with open(prefix + path[:m] + ".html", "w+", encoding="utf-8") as f:
        f.write(data)
    parse.feed(data)

def work(maxdeep):
    args = ParseArgs()
    cur_path.put(formatPath(args.path))
    readed_path.put(formatPath(args.path))
    parse = MyHttpParser()
    with ProcessPoolExecutor(max_workers=4) as executor:
        for i in range(args.deep):
            size = cur_path.qsize()
            futures = [executor.submit(doWork, cur_path.get()) for _ in range(size)]
            for future in as_completed(futures):
                try:
                    future.result()
                except Exception as e:
                    print(e)
            cur_path.queue.clear()
            while not new_path.empty():
                cur_path.put(new_path.get())
            print(i)

if __name__ == '__main__':
    work(5)