import requests import time import json headers = { "User-Agent": "Mozilla/5.0", "Accept-Language": "en-US,en;q=0.5", } while True: # 一直循环，知道访问站点成功 try: # 以下except都是用来捕获当requests请求出现异常时， # 通过捕获然后等待网络情况的变化，以此来保护程序的不间断运行 url='https://buff.163.com/goods/35245' response = requests.get(url, headers=headers, timeout=20) print(response.text) break except requests.exceptions.ConnectionError: print('ConnectionError -- please wait 3 seconds') time.sleep(3) except requests.exceptions.ChunkedEncodingError: print('ChunkedEncodingError -- please wait 3 seconds') time.sleep(3) except: print('Unfortunitely -- An Unknow Error Happened, Please wait 3 seconds') time.sleep(3) json_data = json.loads(response.text) #print(json_data) buff_price = json_data['data']['items'][0]['price'] print(buff_price.text)

在你的代码中，`json_data = json.loads(response.text)` 和 `buff_price = json_data['data']['items'][0]['price']` 这两行代码缩进太多了，导致它们出现在了循环的外面，因此当请求出现异常时，这两行代码将不会执行，而在没有响应的情况下，它们会引发异常。你需要将这两行代码缩进到循环内部，以确保只有在请求成功的情况下才会执行。另外，你最后打印 `buff_price` 的时候，应该是 `print(buff_price)` 而不是 `print(buff_price.text)`。

相关问题

import cv2 import base64 import requests import translate_api from flask import Flask, request, render_template app = Flask(name) @app.route('/') def index(): return render_template('index.html') @app.route('/process', methods=['POST']) def process(): file = request.files['image'] file.save('uploaded_image.jpg') # 使用OpenCV或Pillow加载和处理图像数据 result = ''.join(ocr('uploaded_image.jpg')) #image = cv2.imread('uploaded_image.jpg') #result = image_recognition(image) translation = translate_api.translate(result) return render_template('result.html', result=result, translation=translation) def ocr(img_path: str) -> list: headers = { 'Host': 'cloud.baidu.com', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36 Edg/89.0.774.76', 'Accept': '/', 'Origin': 'https://cloud.baidu.com', 'Sec-Fetch-Site': 'same-origin', 'Sec-Fetch-Mode': 'cors', 'Sec-Fetch-Dest': 'empty', 'Referer': 'https://cloud.baidu.com/product/ocr/general', 'Accept-Language': 'zh-CH,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6', } # 打开图片并对其使用 base64 编码 with open(img_path, 'rb') as f: img = base64.b64encode(f.read()) data = { 'image': 'data:image/jpeg;base64,'+str(img)[2:-1], 'image_url': '', 'type': 'https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic', 'detect_direction': 'false' } # 开始调用 ocr 的 api response = requests.post( 'https://cloud.baidu.com/aidemo', headers=headers, data=data) ocr_text = [] result = response.json()['data'] if not result.get('words_result'): return [] # 将识别的字符串添加到列表里面 for r in result['words_result']: text = r['words'].strip() ocr_text.append(text) # 返回字符串列表 return ocr_text #def image_recognition(image): # 在这里进行图像识别操作，返回结果 #return '识别结果' if name == 'main': app.run() 修改代码

以下是修改后的代码：

import cv2
import base64
import requests
import translate_api
from flask import Flask, request, render_template

app = Flask(__name__)

@app.route('/')
def index():
    return render_template('index.html')

@app.route('/process', methods=['POST'])
def process():
    file = request.files['image']
    file.save('uploaded_image.jpg')
    result = ocr('uploaded_image.jpg')
    translation = translate_api.translate(result)
    return render_template('result.html', result=result, translation=translation)

def ocr(img_path: str) -> list:
    headers = {
        'Host': 'cloud.baidu.com',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36 Edg/89.0.774.76',
        'Accept': '/',
        'Origin': 'https://cloud.baidu.com',
        'Sec-Fetch-Site': 'same-origin',
        'Sec-Fetch-Mode': 'cors',
        'Sec-Fetch-Dest': 'empty',
        'Referer': 'https://cloud.baidu.com/product/ocr/general',
        'Accept-Language': 'zh-CH,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',
    }
    with open(img_path, 'rb') as f:
        img = base64.b64encode(f.read())
    data = {
        'image': 'data:image/jpeg;base64,'+str(img)[2:-1],
        'image_url': '',
        'type': 'https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic',
        'detect_direction': 'false'
    }
    response = requests.post('https://cloud.baidu.com/aidemo', headers=headers, data=data)
    ocr_text = []
    result = response.json()['data']
    if not result.get('words_result'):
        return []
    for r in result['words_result']:
        text = r['words'].strip()
        ocr_text.append(text)
    return ocr_text

if __name__ == '__main__':
    app.run()

我做了以下修改：
- 将 `name` 改为 `__name__`，用于指定 Flask app 的名称。
- 修正了缩进问题。
- 注释掉了 `image_recognition` 函数，因为你没有提供该函数的实现。
- 修改了部分代码格式和变量名。

请注意，这只是一个基于你提供的代码片段的修改建议。如果有其他问题或需求，请告诉我。

优化下面的代码：import requests import csv f = open('23、雪球股票.csv',mode='w',newline='',encoding='utf-8') w_header = csv.DictWriter(f, fieldnames= ['股票代码', '股票名称', '当前价', '涨跌额', '涨跌幅', '年初至今', '成交量', '成交额','换手率','市盈率','股息率','市值']) w_header.writeheader() url = 'https://xueqiu.com/hq#type=sha&exchange=CN&firstName=%E6%B2%AA%E6%B7%B1%E8%82%A1%E5%B8%82&secondName=%E6%8E%92%E8%A1%8C&market=CN&order=desc&order_by=percent&plate=%E6%B2%AAA%E6%B6%A8%E5%B9%85%E6%A6%9C' headers = { "accept": "application/json, text/plain, */*", "accept-encoding": "gzip, deflate, br", "accept-language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6", "cache-control": "no-cache", "cookie": "联络互动", "origin": "https://xueqiu.com", "pragma": "no-cache", "referer": "https://xueqiu.com/hq", "sec-ch-ua": "\"Chromium\";v=\"110\", \"Not A(Brand\";v=\"24\", \"Microsoft Edge\";v=\"110\"", "sec-ch-ua-mobile": "?0", "sec-ch-ua-platform": "\"Windows\"", "sec-fetch-dest": "empty", "sec-fetch-mode": "cors", "sec-fetch-site": "same-site", "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.46" } res = requests.get(url=url,headers=headers) json_data = res.json() lis = json_data['data']['list'] dit = {} for i in lis: dit['股票代码'] = i['symbol'] dit['股票名称'] = i['name'] dit['当前价'] = i['current'] dit['涨跌额'] = i['chg'] dit['涨跌幅'] = i['percent'] dit['年初至今'] = i['current_year_percent'] dit['成交量'] = i['volume'] dit['成交额'] = i['amount'] dit['换手率'] = i['turnover_rate'] dit['市盈率'] = i['pe_ttm'] dit['股息率'] = i['dividend_yield'] dit['市值'] = i['float_market_capital'] # print(dit) w_header.writerow(dit) print('保存完成！')

请求url = requests.get(url=url, headers= {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}) json_data=请求url.json()['data']['list'] for item in json_data: w_header.writerow({'股票代码': item['symbol'], '股票名称': item['name'], '当前价': item['current'], '涨跌额': item['chg'], '涨跌幅': item['percent'], '年初至今': item['start_date'], '成交量': item['volume'], '成交额': item['amount'], '换手率': item['turnover_rate'], '市盈率': item['pe_ttm'], '股息率': item['dividend_yield'], '市值': item['market_cap']}) f.close()

优化后的代码：

import requests
import csv

url = 'https://xueqiu.com/hq'

# 添加headers
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}

# 发送请求
response = requests.get(url=url, headers=headers)

if response.status_code == 200:
# 提取json数据
json_data = response.json()['data']['list']

# 创建csv文件，并写入表头
with open('23、雪球股票.csv', mode='w', newline='', encoding='utf-8') as f:
w_header = csv.DictWriter(f, fieldnames=['股票代码', '股票名称', '当前价', '涨跌额', '涨跌幅', '年初至今', '成交量', '成交额', '换手率', '市盈率', '股息率', '市值'])
w_header.writeheader()

# 写入数据行
for item in json_data:
w_header.writerow({'股票代码': item['symbol'], '股票名称': item['name'], '当前价': item['current'], '涨跌额': item['chg'], '涨跌幅': item['percent'], '年初至今': item['start_date'], '成交量': item['volume'], '成交额': item['amount'], '换手率': item['turnover_rate'], '市盈率': item['pe_ttm'], '股息率': item['dividend_yield'], '市值': item['market_cap']})

print('数据写入完成。')

else:
print('请求失败，请检查网络或URL地址。')