可视化展示——模型融合

模型融合

1.将队友写好的模型代码放入django文件夹中：（如下），并在view文件中进行调用

界面的调整

1.可选择只输入年份/会议来获得详情和分析结果：

详情（展示的是满足条件的论文名，一行一个）：

分析：（这里由于模型还有一点问题，训练速度慢，所以暂时用一些数据代替）

2.同理完善下面的选项：

出现的错误

1.路径不对：（需要将队友的所有文件的路径进行修改使之满足django运行）

修改如下：（举例）

2.运行速度慢，很久都不能显示结果，经过在本地运行模型，发现出现结果也很慢，所以需要队友进行改进。

代码：

（此处只列举一个，其他类似）

def paper_detail(request, paper_id):  # 显示一篇论文的详细内容(存到数据库中的)
    paper = Paper.objects.get(articals=paper_id)
    context = {
        'articals': paper.articals,
        'authors ': paper.authors,
        'abstracts': paper.abstracts,
        'affiliations': paper.affiliations,
        'IndexTerms ': paper.IndexTerms,
        'keywords': paper.keywords,
        'nodes': paper.nodes,
        'inlinks': paper.inlinks,
        'outlinks': paper.outlinks,
        'GeneralTerms': paper.GeneralTerms,

    }
    return render(request, 'choose_paper/paper_example.html', context)


def function(request):  # 根据会议和年份筛选数据集合
    if request.POST:
        if 'paper_set' in request.POST:
            year = request.POST['datetimepicker']
            venue = request.POST['venue']
            articals = []
            with open("choose_paper/data/id_year_venue.txt", 'r', encoding='utf-8') as f:
                lines = f.readlines()
                i = 0
                while i < len(lines)-3:
                    a = lines[i].strip()
                    b = lines[i+1].strip()
                    c = lines[i+2].strip()
                    if year == "":
                        if(c == venue):
                            articals.append(a)
                        i += 4
                    elif venue == "":
                        if(b == year):
                            articals.append(a)
                        i += 4

                    else:
                        if(b == year and c == venue):
                            articals.append(a)
                        i += 4
            
            name=[]
            #找论文名称
            with open('choose_paper/data/nodes2.txt', 'r', encoding='utf-8') as f:
                lines = f.readlines()
                for i in range(len(articals)):
                    for j in range(len(lines)):
                       line=lines[j].split()
                       if(line[0]==articals[i]):
                           s=""
                           for m in range(1,len(line)):
                               s=s+line[m]
                               s=s+" "
                           name.append(s)
                           break

              
           
            context = {
                'nodes': name  # 获取满足年份，会议的论文id
            }

            return render(request, 'choose_paper/yv_paper.html', context)

        else:
            year = request.POST['datetimepicker']
            venue = request.POST['venue']
            articals = []
            with open("choose_paper/data/id_year_venue.txt", 'r', encoding='utf-8') as f:
                lines = f.readlines()
                i = 0
                while i < len(lines)-3:
                    a = lines[i].strip()
                    b = lines[i+1].strip()
                    c = lines[i+2].strip()
                    if year == "":
                        if(c == venue):
                            articals.append(a)
                        i += 4
                    elif venue == "":
                        if(b == year):
                            articals.append(a)
                        i += 4
                    else:
                        if(b == year and c == venue):
                            articals.append(a)
                        i += 4
            SubSpace0_dict = np.load(
                'choose_paper/PaperCompare/data_process_result/SubSpace0_dict.npy').item()
            SubSpace1_dict = np.load(
                'choose_paper/PaperCompare/data_process_result/SubSpace1_dict.npy').item()
            SubSpace2_dict = np.load(
                'choose_paper/PaperCompare/data_process_result/SubSpace2_dict.npy').item()
            SubSpace3_dict = np.load(
                'choose_paper/PaperCompare/data_process_result/SubSpace3_dict.npy').item()
            SubSpace4_dict = np.load(
                'choose_paper/PaperCompare/data_process_result/SubSpace4_dict.npy').item()
            hh = [102, 114, 156, 157, 164, 171, 172, 173, 174, 175, 177,
                  190, 191, 192, 193, 195, 205, 206, 207, 230, 262, 263]
            # finalresult = predmodel(
            #     "choose_paper/PaperCompare/model/model0.h5", hh, SubSpace0_dict)
            context = {
                '研究背景': hh,  # 获取满足年份，会议的论文id
                '研究问题': hh,
                '贡献': hh,
                '方法': hh,
                '实验': hh

            }
            return render(request, 'choose_paper/setpaper.html', context)

上述内容详见：

https://blog.csdn.net/qq_41798302/article/details/106912062