Update README and project cleanup

check_excel.py

@@ -0,0 +1,69 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+import openpyxl
+
+wb = openpyxl.load_workbook('家庭教育档案-天数.xlsx')
+ws = wb.active
+
+print('✓ 所有表头列表')
+print('=' * 80)
+for i in range(1, ws.max_column + 1):
+    cell = ws.cell(1, i)
+    col_letter = chr(64 + i) if i <= 26 else chr(64 + i // 26) + chr(64 + i % 26)
+    print(f'{i:2d} ({col_letter:2s}): {cell.value}')
+
+print('\n' + '=' * 80)
+print('✓ C列（家庭角色）全部唯一值')
+print('=' * 80)
+c_values = {}
+for row in range(2, ws.max_row + 1):
+    val = str(ws[f'C{row}'].value).strip() if ws[f'C{row}'].value else ''
+    if val:
+        c_values[val] = c_values.get(val, 0) + 1
+for val, count in sorted(c_values.items()):
+    print(f'  {val:15s} (出现 {count:3d} 次)')
+
+print('\n' + '=' * 80)
+print('✓ D列（文化程度）全部唯一值')
+print('=' * 80)
+d_values = {}
+for row in range(2, ws.max_row + 1):
+    val = str(ws[f'D{row}'].value).strip() if ws[f'D{row}'].value else ''
+    if val:
+        d_values[val] = d_values.get(val, 0) + 1
+for val, count in sorted(d_values.items()):
+    print(f'  {val:20s} (出现 {count:3d} 次)')
+
+print('\n' + '=' * 80)
+print('✓ U列（孩子学习成绩）全部唯一值')
+print('=' * 80)
+u_values = {}
+for row in range(2, ws.max_row + 1):
+    val = str(ws[f'U{row}'].value).strip() if ws[f'U{row}'].value else ''
+    if val:
+        u_values[val] = u_values.get(val, 0) + 1
+for val, count in sorted(u_values.items()):
+    print(f'  {val:15s} (出现 {count:3d} 次)')
+
+print('\n' + '=' * 80)
+print('✓ 寻找性格/特征相关列...')
+print('=' * 80)
+found = False
+for i in range(1, ws.max_column + 1):
+    header = str(ws.cell(1, i).value).lower() if ws.cell(1, i).value else ''
+    if '性格' in header or '特征' in header or '个性' in header or '性质' in header:
+        col_letter = chr(64 + i) if i <= 26 else chr(64 + i // 26) + chr(64 + i % 26)
+        print(f'✓ 找到！Column {i} ({col_letter}): {ws.cell(1, i).value}')
+        # 取样
+        values = {}
+        for row in range(2, min(100, ws.max_row + 1)):
+            val = str(ws[f'{col_letter}{row}'].value).strip() if ws[f'{col_letter}{row}'].value else ''
+            if val:
+                values[val] = values.get(val, 0) + 1
+        for val, count in sorted(values.items()):
+            print(f'    {val:30s} (出现 {count:3d} 次)')
+        found = True
+
+if not found:
+    print('✗ 未找到明确的性格/特征列')
+    print('请检查以下可能的列...')