fix: 转换导入数据列名为字符串以避免UI层问题

[seer-by-sentry]

Fixes SECRANDOM-AS. The issue was that: DataFrame column names are integers, but code attempts access using string representations from UI, causing KeyError.

• 将所有导入数据的列名转换为字符串类型。
• 避免因整数列名与UI层期望字符串不匹配而导致的问题。

This fix was generated by Seer in Sentry, triggered by wsxyt. 👁️ Run ID: 1259156

Not quite right? Click here to continue debugging with Seer.

[Copilot]

Pull request overview

This PR addresses a UI/data mismatch where imported pandas DataFrame column names can be integers, but the UI layer provides/uses string column keys, leading to KeyError during row access.

Changes:

• Convert all imported DataFrame column names to strings immediately after loading (Excel/CSV) to align with UI expectations.
• Minor formatting/line-ending-only change near a logging statement.

Comments suppressed due to low confidence (1)

app/view/another_window/student/import_student_name.py:945

• This line appears to have been modified only due to line-ending/whitespace differences (the content is otherwise identical). Please avoid introducing whitespace-only changes here (e.g., normalize the file’s EOLs consistently and revert this hunk if no functional change is intended) to reduce diff noise and prevent mixed line endings.

                f"已覆盖班级 '{class_name}' 的数据，共 {len(all_students)} 名学生"
            )
        else:
            logger.info(f"已保存 {len(all_students)} 名学生到新班级 '{class_name}'")

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.