二维码生成，热点推荐
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def qr_code_img(request): ‘‘‘办税指南二维码‘‘‘ face_id = request.session.get("userfaceid") print(face_id) user_to = request.POST.get(‘id‘) abs_url = request.build_absolute_uri() url_root = abs_url.split(‘/con‘)[0] qrcode_url = os.path.join(url_root, f‘media/answer/{id}.html‘) print(qrcode_url) img = qrcode.make(qrcode_url) buf = BytesIO() # 创建一个BytesIO临时保存生成图片数据 img.save(buf) # 将图片字节数据放到BytesIO临时保存 image_stream = buf.getvalue() # 在BytesIO临时保存拿出数据 response = HttpResponse(image_stream, content_type="image/jpg") # 将二维码数据返回到页面 return response
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def news(request): ‘‘‘ 税务资讯接口 ‘‘‘ if request.method == ‘POST‘: sql = "SELECT * FROM news" txt = pd.read_sql(sql, connection) txt["date0"] = pd.to_datetime(txt[‘date‘]).apply(lambda x: str(x)[:10]) txt = txt.sort_values(by="date0", ascending=False)[:6] news_id = txt["id"].tolist() # news_time = txt["date0"].tolist() news_title = txt["title"].tolist() news_content = txt["content"].tolist() news_img = txt["img_url"].tolist() news_data = zip(news_id, news_title, news_content, news_img) news_data = list(news_data) abs_url = request.build_absolute_uri() url_root = abs_url.split(‘/con‘)[0] img_root = os.path.join(url_root, ‘media/‘) result = {‘code‘: 200, ‘message‘: ‘热门搜索‘, ‘data‘: {‘news‘: []}} for new in news_data: if new[-1]: img_path = os.path.join(img_root, new[-1]) else: img_path = None result[‘data‘][‘news‘].append( {‘id‘: new[0], ‘title‘: new[1], ‘content‘: new[2], ‘img‘: img_path} ) return HttpResponse(json.dumps(result))
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def recommends(request): ‘‘‘ 返回热门关键字，热门搜索问答 ‘‘‘ # username = request.session.get("username") # userfaceid = request.session.get("userfaceid") # tourist_bool = False #流量+1 visit_time = datetime.now() visit_count = VisitCount.objects.all() if visit_count: print(‘not first‘) visit_count[0].visit_count += 1 visit_count[0].add_time = visit_time visit_count[0].save() else: print(‘first‘) VisitCount.objects.create(visit_count=1, add_time=visit_time) # add_one_sql = "UPDATE consult_visitcount SET visit_count=visit_count+1,add_time=‘%s‘"%visit_time # add_one_cursor = connection.cursor() # add_one_cursor.execute(add_one_sql) # hot search key start_time = time.time() select_sql = ‘select * from recommend_key‘ datas = pd.read_sql(select_sql, connection) # <pandas.core.frame.DataFrame‘> temp = datas.iloc[:, 1:-1] # 取出所有数据的 除了前两个字段 tp = temp.sum(axis=0) # 所有字段纵向相加 top_sorts = tp.sort_values(ascending=False) # 降序排序 top3 = top_sorts.index[:4] top_recommends = top3.values.tolist() result = {‘code‘: 200, ‘message‘: ‘热门搜索‘, ‘data‘: {‘hot‘: top_recommends}} # news # sql = "SELECT * FROM news" # txt = pd.read_sql(sql, connection) # txt["date0"] = pd.to_datetime(txt[‘date‘]).apply(lambda x: str(x)[:10]) # txt = txt.sort_values(by="date0", ascending=False) # news_id = txt["id"].tolist() # # news_time = txt["date0"].tolist() # news_title = txt["title"].tolist() # # news_content = txt["content"].tolist() # news_img = txt["img_url"].tolist() # news_data = zip(news_id, news_title, news_img) # news_data = list(news_data) # result[‘data‘].update({‘news‘: []}) # abs_url = request.build_absolute_uri() # url_root = abs_url.split(‘/con‘)[0] # img_root = os.path.join(url_root, ‘media/news/source/‘) # for new in news_data: # if new[-1]: # img_path = os.path.join(img_root, new[-1]) # else: # img_path = None # result[‘data‘][‘news‘].append( # {‘id‘: new[0], ‘title‘: new[1], ‘img‘: img_path} # ) # 热搜榜 hot_part = AsksAnswer.objects.values("id", "part", "class4", "answer", "clicked_num").order_by(‘-clicked_num‘)[:5] result[‘data‘].update({‘hot_part‘: []}) for hot in hot_part: # result[‘data‘][‘hot_part‘].append( # {‘id‘: hot[‘id‘], ‘part‘: hot[‘part‘], ‘title‘: hot[‘class4‘], ‘answer‘: hot[‘answer‘]} # ) result[‘data‘][‘hot_part‘].append( {‘title‘: hot[‘class4‘]} ) print(f‘end time: {time.time()-start_time}‘) return HttpResponse(json.dumps(result))
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