Update app.py

app.py

@@ -2,39 +2,43 @@ import gradio as gr
 import pandas as pd
 import re
 
-# 第一個檢查
+# 第一個檢查：檢查$符號前後是否有空格
 def check_spacing_around_dollar(df):
     errors = []
     for i, row in df.iterrows():
         for col in df.columns:
             text = str(row[col])
-            for match in re.finditer(r'\$\S+|\S+\$', text):
-                if text[match.start() - 1] != ' ' or text[match.end()] != ' ':
+            matches = list(re.finditer(r'(\s?\$\S*?\s?|\s?\S*?\$)', text))
+            for match in matches:
+                if not (text[match.start() - 1] == ' ' and text[match.end()] == ' '):
                     errors.append(f"行 {i+1} 列 '{col}': '{text}'")
     return errors
 
-# 第二個檢查
+# 第二個檢查：檢查$符號之間是否有空格
 def check_spacing_between_dollars(df):
     errors = []
     for i, row in df.iterrows():
         for col in df.columns:
             text = str(row[col])
-            for match in re.finditer(r'\$\S+', text):
+            matches = list(re.finditer(r'\$\S+?(?=\$)', text))
+            for match in matches:
                 if text[match.end()] != ' ' and text[match.start() - 1] != ' ':
                     errors.append(f"行 {i+1} 列 '{col}': '{text}'")
     return errors
 
-# 第三個檢查
+# 第三個檢查：檢查數字前後是否有$
 def check_numbers_surrounded_by_dollar(df):
     errors = []
     for i, row in df.iterrows():
         for col in df.columns:
             text = str(row[col])
-            for match in re.finditer(r'\b\d+\b', text):
+            matches = list(re.finditer(r'\b\d+\b', text))
+            for match in matches:
                 if not (text[match.start() - 1] == '$' and text[match.end()] == '$'):
                     errors.append(f"行 {i+1} 列 '{col}': '{text}'")
     return errors
 
+# 處理檔案並執行檢查
 def process_file(file):
     if file.name.endswith('.csv'):
         df = pd.read_csv(file.name)