page_json = response.json()解释这段代码

这段代码将上一步请求返回的Response对象解析为JSON格式的数据，并将其赋值给变量page_json。具体来说，json()方法是将Response对象中的JSON数据解析为Python对象的方法。如果响应中不包含JSON数据，该方法将会引发一个ValueError异常。如果成功解析为JSON数据，将返回一个Python字典或列表，可以像操作普通Python对象一样操作该数据。

相关问题

根据前端传过来的前端传递过来的开始时间和结束时间参数 筛选创建时间在开始时间和结束时间区间的数据 修改后端写法def get_bugs_data(): api_url = "https://api.tapd.cn/bugs" api_headers = {"Authorization": "#", "content-type": "application/json"}iterations_url = "https:/"count_url ="https://at" params_count = {"status": "closed","workspace_id": 41571821, } # 发送请求，获取缺陷总数 response = requests.get(count_url, params=params_count, headers=api_headers) if response.status_code == 200: total_bug = response.json()total_count = total_bug['data']['count'] print(total_count) else: print("Error: Failed to retrieve count. Status code: ", response.status_code) start_time = request.get('start_time') end_time = request.get('end_time') start_time =datetime.strptime(start_time, '%Y-%m-%d %H:%M:%S') end_time = datetime.strptime(end_time, '%Y-%m-%d %H:%M:%S') bug_list = [] for i in range(1,total_count//200): params = {"limit": 200, "status": "closed", "workspace_id": 41571821, "page": i } response = requests.get(api_url, params=params, headers=api_headers) if response.status_code == 200: res = response.json() for bug_item in res['data']: if bug_item['Bug']['fixer'] and bug_item['Bug']['fixer'] in white_name:bug_data_dict = {"bug_title": bug_item['Bug']['title'], "bug_created": bug_item['Bug']['created'], "bug_fixer": bug_item['Bug']['fixer'], "bug_resolved": bug_item['Bug']['resolved'], "bug_url": f"https://www.tapd.cn/41571821/bugtrace/bugs/view?bug_id={bug_item['Bug']['id']}" } params_iteration = {"limit": 200, "workspace_id": 41571821, "id": bug_item['Bug']['iteration_id'] }response =requests.get(iterations_url, params=params_iteration, headers=api_headers)if response.status_code == 200: iterations = response.json() iteration_name = iterations['data'][0]['Iteration']['name'] bug_data_dict['iteration_name'] = iteration_name bug_list.append(bug_data_dict) else: print("Error: Failed to retrieve iterations. Status code: ", response.status_code) return {"code": 200, "msg": "成功", "data": bug_list}

可以将代码中的bug数据筛选部分修改如下：

bug_list = []
for i in range(1, total_count//200 + 2):
    params = {"limit": 200, "status": "closed", "workspace_id": 41571821, "page": i}
    response = requests.get(api_url, params=params, headers=api_headers)
    if response.status_code == 200:
        res = response.json()
        for bug_item in res['data']:
            created_time = datetime.strptime(bug_item['Bug']['created'], '%Y-%m-%d %H:%M:%S')
            if start_time <= created_time <= end_time:
                if bug_item['Bug']['fixer'] and bug_item['Bug']['fixer'] in white_name:
                    bug_data_dict = {"bug_title": bug_item['Bug']['title'],
                                     "bug_created": bug_item['Bug']['created'],
                                     "bug_fixer": bug_item['Bug']['fixer'],
                                     "bug_resolved": bug_item['Bug']['resolved'],
                                     "bug_url": f"https://www.tapd.cn/41571821/bugtrace/bugs/view?bug_id={bug_item['Bug']['id']}"}
                    params_iteration = {"limit": 200, "workspace_id": 41571821, "id": bug_item['Bug']['iteration_id']}
                    response = requests.get(iterations_url, params=params_iteration, headers=api_headers)
                    if response.status_code == 200:
                        iterations = response.json()
                        iteration_name = iterations['data'][0]['Iteration']['name']
                        bug_data_dict['iteration_name'] = iteration_name
                        bug_list.append(bug_data_dict)
                    else:
                        print("Error: Failed to retrieve iterations. Status code: ", response.status_code)
    else:
        print("Error: Failed to retrieve bugs. Status code: ", response.status_code)
return {"code": 200, "msg": "成功", "data": bug_list}

在每个缺陷被处理时，将其创建时间转换为datetime对象，然后与开始时间和结束时间进行比较。如果创建时间在时间范围内，则将该缺陷加入到结果列表中。

def parse(self, response): global count html = response.text movies_name = re.findall(r'class="m-b-sm">(.*?)</h2>',html)[0] rating = re.findall(r'm-b-n-sm">\n *(.*?)</p>',html) plot_summary = re.findall(r'<p da

ta-qa="plot-summary" class="">(.*?)</p>',html)[0] # 爬取电影名称、评分、剧情简介 # 将获取的数据存储到字典中 movie_dict = {} movie_dict['name'] = movies_name movie_dict['rating'] = rating[0] if rating else None movie_dict['plot_summary'] = plot_summary # 将字典转换为JSON格式 movie_json = json.dumps(movie_dict) # 将JSON数据写入文件中 with open('movie.json', 'a', encoding='utf-8') as f: f.write(movie_json + '\n') # 计数器加一 count += 1 # 打印当前爬取的电影数量 print('已爬取{}部电影'.format(count)) # 获取下一页的链接 next_page_link = re.findall(r'<a class="next-page" href="(.*?)" >下一页</a>',html) if next_page_link: # 如果存在下一页，则继续爬取 yield scrapy.Request(url=next_page_link[0], callback=self.parse) 以上是一个简单的爬虫程序，能够爬取豆瓣电影中的电影名称、评分、剧情简介，并将爬取的数据存储到一个JSON文件中。程序通过正则表达式从HTML源代码中提取所需数据，并使用Scrapy框架进行网页爬取和数据存储。