Achievement Qztc

SkillDB 作者 alukardo v1.0.0

课程目标达成情况分析表生成工具。根据Excel学生数据替换Word模板中的课程目标达成情况,生成新的分析表。

源码 ↗

安装 / 下载方式

TotalClaw CLI推荐
totalclaw install skilldb:alukardo~achievement-qztc
cURL直接下载,无需登录
curl -fsSL https://skills.taituai.com/api/skills/skilldb%3Aalukardo~achievement-qztc/file -o achievement-qztc.md
Git 仓库获取源码
git clone https://github.com/openclaw/skills/commit/8d66c893350a064137bf8ca350286ed4fe7afdee
# 课程目标达成情况分析表生成工具(QZTC版)

根据Excel学生数据替换Word模板中的课程目标达成情况,生成新的分析表。

## 适用场景

- 根据Excel学生名单生成课程目标达成情况分析表
- 自动计算各课程目标的达成值(随机生成成绩,百分比表示)

---

## 文件路径

- **模板文件**: `/Volumes/qztcm09/Desktop/temp/课程目标达成情况分析表-数据可视化-模版.docx`
- **Excel数据**: `/Volumes/qztcm09/Desktop/temp/数据可视化技术23级计算机.xls`

---

## 使用步骤

### 步骤1:读取Excel数据

```python
import pandas as pd
import shutil
import random
from docx import Document
from datetime import datetime

# 读取Excel
df = pd.read_excel('/Users/qztcm09/Desktop/temp/数据可视化技术23级计算机.xls')

# 排除旷考学生
df = df[df['备注'] != '旷考'].reset_index(drop=True)

# 自动判断当前学年和学期
now = datetime.now()
year = now.year
month = now.month
day= now.day

if 1 <= month <= 6:
    # 1-6月:第一学期(上学年)
    academic_year = f"{year-1} - {year}"
    semester = "一"
else:
    # 7-12月:第二学期(上学年)
    academic_year = f"{year-1} - {year}"
    semester = "二"

print(f"当前学年: {academic_year}, 学期: {semester}学期")

# 从"班级"字段提取年级、班级、专业信息
# 专业名称提取支持两种情况:
#   情况1: "23级计算机" → 年级=23, 专业=计算机
#   情况2: "23级软工2班" → 年级=23, 专业=软工
import re
class_name = df['班级'].iloc[0] if '班级' in df.columns else ''
match = re.search(r'(\d+)级', str(class_name))
grade = match.group(1) if match else ''  # 如 "23"
# 提取专业:匹配 "XX级" 后面到 "XX班" 或结尾的部分
match = re.search(r'\d+级(.+?)(?:\d+班)?$', str(class_name))
major = match.group(1).strip() if match else ''  # 如 "计算机" 或 "软工"


# 获取学生信息
students = df[['学号', '姓名']].copy()
print(f"学生人数: {len(students)}")
```

### 步骤2:复制模板并打开

```python
template_path = '/Users/qztcm09/Desktop/temp/课程目标达成情况分析表-数据可视化-模版.docx'
output_path = '/Users/qztcm09/Desktop/temp/课程目标达成情况分析表-数据可视化-23级计算机.docx'

shutil.copy(template_path, output_path)
doc = Document(output_path)
```

### 步骤3:通用文本替换

**⚠️ 重要:Word占位符可能被拆分成多个run,且表格单元格中可能有换行,需要特殊处理,保留原格式**

```python
def replace_text_preserve_format(para, replacements):
    """替换段落文本但保留格式"""
    # 先收集所有run的文本
    full_text = ''.join(run.text for run in para.runs if run.text)
    
    # 检查是否有占位符
    has_placeholder = any(old in full_text for old, _ in replacements)
    if not has_placeholder:
        return
    
    # 执行替换
    for old, new in replacements:
        full_text = full_text.replace(old, new)
    
    # 获取第一个run的格式作为基准
    if para.runs:
        first_run = para.runs[0]
        font_name = first_run.font.name
        font_size = first_run.font.size
        font_bold = first_run.font.bold
        font_italic = first_run.font.italic
    else:
        font_name, font_size, font_bold, font_italic = None, None, None, None
    
    # 清空并用新文本创建单一run,保留格式
    para.clear()
    run = para.add_run(full_text)
    if font_name:
        run.font.name = font_name
    if font_size:
        run.font.size = font_size
    if font_bold is not None:
        run.font.bold = font_bold
    if font_italic is not None:
        run.font.italic = font_italic
    
    return para

def replace_text_in_table_cell(cell, replacements):
    """替换表格单元格中的文本(处理单元格内换行的情况)"""
    # 遍历单元格中的所有段落
    for para in cell.paragraphs:
        full_text = ''.join(run.text for run in para.runs if run.text)
        has_placeholder = any(old in full_text for old, _ in replacements)
        
        if has_placeholder:
            # 获取格式
            if para.runs:
                first_run = para.runs[0]
                font_name = first_run.font.name
                font_size = first_run.font.size
                font_bold = first_run.font.bold
                font_italic = first_run.font.italic
            else:
                font_name, font_size, font_bold, font_italic = None, None, None, None
            
            # 执行替换
            for old, new in replacements:
                full_text = full_text.replace(old, new)
            
            # 清空并重新设置
            para.clear()
            run = para.add_run(full_text)
            if font_name:
                run.font.name = font_name
            if font_size:
                run.font.size = font_size
            if font_bold is not None:
                run.font.bold = font_bold
            if font_italic is not None:
                run.font.italic = font_italic
    
    return cell

# 替换配置
replacements = [
    ('$acyear$', academic_year),
    ('$semester$', semester),
    ('$g$', grade),
    ('$major$', major),
    ('$total$', f'{len(students)}人'),
    ('$year$', str(year)),
    ('$month$', str(month)),
    ('$day$', str(day)),
]

# 替换表格中的文本
for table in doc.tables:
    for row in table.rows:
        for cell in row.cells:
            replace_text_in_cell(cell, replacements)

# 替换段落中的文本(处理被拆分的情况,保留格式)
for para in doc.paragraphs:
    replace_text_preserve_format(para, replacements)
```

### 步骤4:更新表8 - 课程目标个体达成情况明细

**重要**:
1. 先清理除表头(2行)和最后一行(平均值)外的所有学生数据
2. 根据Excel学生数动态调整表格行数
3. **在最后一行(平均值行)之前插入新行**
4. 所有达成值用**百分比**表示(如 66%)

**表格索引**: 8

**表头结构**(前2行):
- 行0: 序号 | 学号 | 姓名 | 课程目标1(25分) | 课程目标1 | 课程目标2(30分) | 课程目标2 | 课程目标3(26.5分) | 课程目标3 | 课程目标4(18.5分) | 课程目标4
- 行1: 序号 | 学号 | 姓名 | 得分 | 达成值 | 得分 | 达成值 | 得分 | 达成值 | 得分 | 达成值

**数据列对应关系**:
| 列索引 | 内容 |
|--------|------|
| 0 | 序号 |
| 1 | 学号 |
| 2 | 姓名 |
| 3 | 随机值 a (10-24),课程目标1得分 |
| 4 | a/25*100%,课程目标1达成值(百分比) |
| 5 | 随机值 b (20-28),课程目标2得分 |
| 6 | b/30*100%,课程目标2达成值(百分比) |
| 7 | 随机值 c (20-25),课程目标3得分 |
| 8 | c/26.5*100%,课程目标3达成值(百分比) |
| 9 | 随机值 d (15-18),课程目标4得分 |
| 10 | d/18.5*100%,课程目标4达成值(百分比) |

```python
# 步骤4.1: 动态调整表格行数(在平均值行之前插入)
table = doc.tables[8]
current_rows = len(table.rows)
# 当前模板可以容纳的学生数(去掉2行表头和1行平均值)
template_capacity = current_rows - 3

# 调整行数:在倒数第2行(平均值行之前)插入
if len(students) > template_capacity:
    # 需要插入行,在平均值行之前插入
    for i in range(len(students) - template_capacity):
        # 在倒数第2行之前插入(即平均值行之前)
        new_row = table.add_row()
        # 将新行移动到平均值行之前
        # 由于add_row()是添加到末尾,需要交换位置
        # 获取平均值行索引
        avg_idx = len(table.rows) - 1
        # 将新插入的行移到平均值行之前
        table._element.remove(new_row._element)
        table._element.insert(len(table.rows) - 2, new_row._element)
elif len(students) < template_capacity:
    # 需要删除多余行(从数据区域末尾开始删,保留平均值行)
    for i in range(template_capacity - len(students)):
        # 删除倒数第2行(最后一个数据行)
        delete_idx = 2 + len(students)
        if delete_idx < len(table.rows) - 1:
            table._element.remove(table.rows[delete_idx]._element)

# 步骤4.2: 清理数据行(保留前2行表头和最后1行平均值)
for row_idx in range(2, len(table.rows) - 1):
    for cell in table.rows[row_idx].cells:
        cell.text = ''

# 步骤4.3: 填入学生数据(达成值用百分比)
all_a, all_b, all_c, all_d = [], [], [], []
student_data = []

for i, (_, student) in enumerate(students.iterrows()):
    row_idx = i + 2
    if row_idx >= len(table.rows) - 1:
        break
    
    row = table.rows[row_idx]
    a = random.randint(10, 24)
    b = random.randint(20, 28)
    c = random.randint(20, 25)
    d = random.randint(15, 18)
    
    all_a.append(a)
    all_b.append(b)
    all_c.append(c)
    all_d.append(d)
    
    # 转为百分比
    v1, v2, v3, v4 = a/25*100, b/30*100, c/26.5*100, d/18.5*100
    student_data.append({'v1': v1, 'v2': v2, 'v3': v3, 'v4': v4})
    
    row.cells[0].text = str(i + 1)
    row.cells[1].text = str(student['学号'])
    row.cells[2].text = student['姓名']
    row.cells[3].text = f"{a:.2f}"
    row.cells[4].text = f"{v1:.0f}%"  # 百分比
    row.cells[5].text = f"{b:.2f}"
    row.cells[6].text = f"{v2:.0f}%"  # 百分比
    row.cells[7].text = f"{c:.2f}"
    row.cells[8].text = f"{v3:.0f}%"  # 百分比
    row.cells[9].text = f"{d:.2f}"
    row.cells[10].text = f"{v4:.0f}%"  # 百分比

n = len(student_data)

# 步骤4.4: 最后一行填写平均值(百分比)
avg_row = table.rows[-1]
avg_a = sum(all_a) / n
avg_b = sum(all_b) / n
avg_c = sum(all_c) / n
avg_d = sum(all_d) / n
avg_v1 = sum(s['v1'] for s in student_data) / n
avg_v2 = sum(s['v2'] for s in student_data) / n
avg_v3 = sum(s['v3'] for s in student_data) / n
avg_v4 = sum(s['v4'] for s in student_data) / n

avg_row.cells[0].text = "平均值"
avg_row.cells[3].text = f"{avg_a:.2f}"
avg_row.cells[4].text = f"{avg_v1:.0f}%"
avg_row.cells[5].text = f"{avg_b:.2f}"
avg_row.cells[6].text = f"{avg_v2:.0f}%"
avg_row.cells[7].text = f"{avg_c:.2f}"
avg_row.cells[8].text = f"{avg_v3:.0f}%"
avg_row