feat 新增日志记录和提交者汇总

Easy-QFNU-Tools/Excel2md/AddNewData.py

@@ -69,7 +69,11 @@ def process_data(excel_file, markdown_dir):
     df.columns = ["course", "teacher", "district", "year", "description", "submitter"]
 
     rows_to_delete = []
-    unmatched_rows = set()  # 使用集合来存储未匹配的行
+    unmatched_rows = set()
+
+    # 新增：用于记录更新日志和提交者
+    update_log = []
+    submitters = set()
 
     # 遍历markdown文件
     for filename in os.listdir(markdown_dir):
@@ -113,11 +117,17 @@ def process_data(excel_file, markdown_dir):
 
                         # 标记要删除的行
                         rows_to_delete.append(index)
-                        # 如果之前被标记为未匹配，现在移除
                         unmatched_rows.discard(index)
                         content_modified = True
+
+                        # 新增：记录更新日志和提交者
+                        update_log.append(
+                            f"【{course}】-【{district}】-【{teacher}】-【{row['year']}】"
+                        )
+                        submitters.add(row["submitter"])
+
                         print(
-                            f"✅ 成功添加: {course} - {district} - {teacher} - {row['submitter']}"
+                            f"✅ 成功添加: 【{course}】-【{district}】-【{teacher}】-【{row['submitter']}】"
                         )
                 else:
                     # 只有当这行数据还没有被成功处理时，才标记为未匹配
@@ -147,6 +157,18 @@ def process_data(excel_file, markdown_dir):
         print(f"- 未能匹配：{len(unmatched_rows)} 条数据")
         print(f"- 总数据量：{len(df) + len(rows_to_delete)} 条数据")
 
+    # 新增：生成更新日志文件
+    if update_log:
+        with open("update_log.txt", "a", encoding="utf-8") as f:
+            f.write("\n".join(update_log) + "\n")
+
+        with open("submitters.txt", "a", encoding="utf-8") as f:
+            f.write(", ".join(sorted(submitters)) + "\n")
+
+        print("\n📝 更新日志已生成")
+        print(f"- 更新条目：{len(update_log)} 条")
+        print(f"- 提交人数：{len(submitters)} 人")
+
 
 # 使用示例
 process_data("data.xlsx", "example")