Update app.py

app.py

@@ -8,17 +8,15 @@ import pandas as pd
 import subprocess
 import plotly.express as px
 def on_confirm(dataset_radio, num_parts_dropdown, token_counts_radio, line_counts_radio, cyclomatic_complexity_radio, problem_type_radio):
-    # 根据用户选择的参数构建文件路径
+   
     num_parts = num_parts_dropdown
     token_counts_split = token_counts_radio
     line_counts_split = line_counts_radio
     cyclomatic_complexity_split = cyclomatic_complexity_radio
 
-
-    # 读取数据
     dataframes = []
     if token_counts_split=="Equal Frequency Partitioning":
-        token_counts_df = pd.read_csv(f"E:/python-testn/pythonProject3/hh_1/dividing_into_different_subsets/{num_parts}/QS/token_counts_QS.csv")
+        token_counts_df = pd.read_csv(f"home/user/app/dividing_into_different_subsets/{num_parts}/QS/token_counts_QS.csv")
         dataframes.append(token_counts_df)
 
     if line_counts_split=="Equal Frequency Partitioning":
@@ -28,12 +26,7 @@ def on_confirm(dataset_radio, num_parts_dropdown, token_counts_radio, line_count
     if cyclomatic_complexity_split=="Equal Frequency Partitioning":
         cyclomatic_complexity_df = pd.read_csv(f"E:/python-testn/pythonProject3/hh_1/dividing_into_different_subsets/{num_parts}/QS/CC_QS.csv")
         dataframes.append(cyclomatic_complexity_df)
-    #以下改为直接从一个划分文件中读取即可
-    # if problem_type_radio:
-    #     problem_type_df = pd.read_csv(f"{num_parts}/problem_type_{problem_type_split}.csv")
-    #     dataframes.append(problem_type_df)
-
-    # 如果所有三个radio都有value，将三个文件中的所有行拼接
+  
     if len(dataframes) > 0:
         combined_df = dataframes[0]
         for df in dataframes[1:]:
@@ -45,7 +38,7 @@ def on_confirm(dataset_radio, num_parts_dropdown, token_counts_radio, line_count
 
 
 
-#用于更新数据文件的部分
+
 def execute_specified_python_files(directory_list, file_list):
     for directory in directory_list:
         for py_file in file_list:
@@ -67,33 +60,31 @@ def execute_specified_python_files(directory_list, file_list):
 def generate_file(file_obj, user_string, user_number,dataset_choice):
     tmpdir = 'tmpdir'
 
-    print('临时文件夹地址：{}'.format(tmpdir))
+    
     FilePath = file_obj.name
-    print('上传文件的地址：{}'.format(file_obj.name))  # 输出上传后的文件在gradio中保存的绝对地址
+    print('上传文件的地址：{}'.format(file_obj.name))  
 
-    # 将文件复制到临时目录中
+    
     shutil.copy(file_obj.name, tmpdir)
 
-    # 获取上传Gradio的文件名称
+  
     FileName = os.path.basename(file_obj.name)
 
     print(FilePath)
-    # 获取拷贝在临时目录的新的文件地址
-
-    # 打开复制到新路径后的文件
+   
     with open(FilePath, 'r', encoding="utf-8") as file_obj:
-        # 在本地电脑打开一个新的文件，并且将上传文件内容写入到新文件
+       
         outputPath = os.path.join('F:/Desktop/test', FileName)
         data = json.load(file_obj)
         print("data:", data)
 
-        # 将数据写入新的 JSON 文件
+        
         with open(outputPath, 'w', encoding="utf-8") as w:
             json.dump(data, w, ensure_ascii=False, indent=4)
 
-        # 读取文件内容并上传到服务器
-        file_content = json.dumps(data)  # 将数据转换为 JSON 字符串
-        url = "http://localhost:6222/submit"  # 替换为你的后端服务器地址
+       
+        file_content = json.dumps(data)  
+        url = "http://localhost:6222/submit" 
         files = {'file': (FileName, file_content, 'application/json')}
         payload = {
             'user_string': user_string,
@@ -103,12 +94,12 @@ def generate_file(file_obj, user_string, user_number,dataset_choice):
 
         response = requests.post(url, files=files, data=payload)
         print(response)
-        #返回服务器处理后的文件
+        
         if response.status_code == 200:
-            # 获取服务器返回的 JSON 数据
+            
             output_data = response.json()
 
-            # 保存 JSON 数据到本地
+            
             output_file_path = os.path.join('E:/python-testn/pythonProject3/hh_1/evaluate_result', 'new-model.json')
             with open(output_file_path, 'w', encoding="utf-8") as f:
                 json.dump(output_data, f, ensure_ascii=False, indent=4)
@@ -116,8 +107,8 @@ def generate_file(file_obj, user_string, user_number,dataset_choice):
             print(f"File saved at: {output_file_path}")
 
             # 调用更新数据文件的函数
-            directory_list = ['/path/to/directory1', '/path/to/directory2']  # 替换为你的目录路径列表
-            file_list = ['file1.py', 'file2.py', 'file3.py']  # 替换为你想要执行的Python文件列表
+            directory_list = ['/path/to/directory1', '/path/to/directory2'] 
+            file_list = ['file1.py', 'file2.py', 'file3.py'] 
 
             execute_specified_python_files(directory_list, file_list)
 
@@ -142,8 +133,6 @@ def update_radio_options(token_counts, line_counts, cyclomatic_complexity, probl
     return gr.update(choices=options)
 
 def plot_csv(radio,num):
-    # 读取本地的CSV文件
-    #token_counts_df = pd.read_csv(f"{num_parts}/QS/token_counts_QS.csv")
     if radio=="Line Counts in Prompt":
         radio_choice="line_counts"
         file_path = f'E:/python-testn/pythonProject3/hh_1/dividing_into_different_subsets/{num}/QS/{radio_choice}_QS.csv'
@@ -156,30 +145,22 @@ def plot_csv(radio,num):
     elif radio=="Problem Type":
         radio_choice="problem_type"
         file_path = f'E:/python-testn/pythonProject3/hh_1/dividing_into_different_subsets/cata_result.csv'
-    print("test!")
-
-    # file_path="E:/python-testn/pythonProject3/hh_1/dividing_into_different_subsets/3/QS/CC_QS.csv"
+    
     df = pd.read_csv(file_path)
-    # 将第一列作为索引
+   
     df.set_index('Model', inplace=True)
 
-    # 转置数据框，使得模型作为列，横轴作为行
     df_transposed = df.T
 
-    # 使用plotly绘制折线图
     fig = px.line(df_transposed, x=df_transposed.index, y=df_transposed.columns,
                   title='Model Evaluation Results',
                   labels={'value': 'Evaluation Score', 'index': 'Evaluation Metric'},
                   color_discrete_sequence=px.colors.qualitative.Plotly)
 
-    # 设置悬停效果
     fig.update_traces(hovertemplate='%{y}')
 
     return fig
 
-
-
-    # 创建 Gradio 界面
 with gr.Blocks() as iface:
     gr.HTML("""
                <style>
@@ -199,7 +180,7 @@ with gr.Blocks() as iface:
            """)
 
     with gr.Tabs() as tabs:
-        with gr.TabItem("evaluation_result"):
+        with gr.TabItem("Evaluation Result"):
             with gr.Row():
                 with gr.Column(scale=2):
                     with gr.Row():
@@ -271,7 +252,7 @@ with gr.Blocks() as iface:
                     select_radio.change(fn=plot_csv, inputs=[select_radio, num_parts_dropdown],
                                         outputs=gr.Plot(label="Line Plot "))
 
-        with gr.TabItem("upload"):
+        with gr.TabItem("Upload"):
             gr.Markdown("Upload a JSON file")
             with gr.Row():
                 with gr.Column():
@@ -288,7 +269,7 @@ with gr.Blocks() as iface:
                                 outputs=json_output)
 
 
-    # 定义事件处理函数
+
     def toggle_radio(checkbox, radio):
         return gr.update(visible=checkbox)
 
@@ -296,11 +277,11 @@ with gr.Blocks() as iface:
 
     css = """  
         #scale1 {  
-    border: 1px solid rgba(0, 0, 0, 0.2); /* 使用浅色边框，并带有透明度 */  
-    padding: 10px; /* 添加内边距 */  
-    border-radius: 8px; /* 更圆滑的圆角 */  
-    background-color: #f9f9f9; /* 背景颜色 */  
-    box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); /* 添加阴影效果 */  
+    border: 1px solid rgba(0, 0, 0, 0.2); 
+    padding: 10px;  
+    border-radius: 8px;   
+    background-color: #f9f9f9;  
+    box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);  
 }  
         }  
         """
@@ -309,5 +290,5 @@ with gr.Blocks() as iface:
 
 
 
-# 启动界面
+
 iface.launch()