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online_sys/frontend_智能制造/fix_incomplete_options.py
KQL a7242f0c69 Initial commit: 教务系统在线平台
- 包含4个产业方向的前端项目:智能开发、智能制造、大健康、财经商贸
- 已清理node_modules、.yoyo等大文件,项目大小从2.6GB优化至631MB
- 配置完善的.gitignore文件

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Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-12 18:16:55 +08:00

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
修复不完整的选项格式答案
根据问题类型智能选择正确答案
"""
import re
from datetime import datetime
print("=== 修复不完整的选项格式答案 ===\n")
# 1. 读取当前mock文件
print("1. 读取当前mock文件...")
with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
content = f.read()
# 2. 备份
backup_time = datetime.now().strftime('%Y%m%d_%H%M%S')
backup_file = f'src/mocks/resumeInterviewMock.js.backup_fix_options_{backup_time}'
print(f"2. 创建备份: {backup_file}")
with open(backup_file, 'w', encoding='utf-8') as f:
f.write(content)
# 3. 定义问题和正确答案的映射
print("\n3. 分析并修复不完整的选项...")
# 需要手动处理的特殊问题和答案
manual_fixes = {
"示教器操作时,必须佩戴": "使能开关", # C
"机器人运行时,人员应": "站在安全围栏外", # B
"搬运玻璃工件时,优先选用哪种夹具?": "真空吸盘", # B
'机器人报"过载错误",首先应': "检查是否卡住或超重", # B
"下列哪种情况可忽略?": "机器人外壳轻微灰尘", # C
"机器人固定至地面通常使用": "膨胀螺栓", # B (假设)
"更换减速器需断开": "电源", # A (假设)
"气动夹爪的工作压力通常为": "0.4-0.7 MPa", # B (假设)
}
# 通用的智能选择规则
def smart_select_answer(question, answer_text):
"""根据问题智能选择最合理的答案"""
# 提取选项
options = {}
# 处理缺少A.的情况
if not answer_text.startswith('A.') and 'B.' in answer_text:
# 第一个选项前面没有A.
parts = answer_text.split('B.')
if parts[0].strip():
options['A'] = parts[0].strip()
remaining = 'B.' + 'B.'.join(parts[1:])
# 继续提取其他选项
for match in re.finditer(r'([B-D])\.\s*([^A-D]+?)(?=\s*[B-D]\.|$)', remaining):
options[match.group(1)] = match.group(2).strip()
else:
# 正常格式
for match in re.finditer(r'([A-D])\.\s*([^A-D]+?)(?=\s*[A-D]\.|$)', answer_text):
options[match.group(1)] = match.group(2).strip()
# 如果在手动映射中,直接返回答案
for key, value in manual_fixes.items():
if key in question:
return value
# 智能选择规则
if "必须" in question or "应该" in question:
# 安全相关问题,选择最安全的选项
for opt, text in options.items():
if "安全" in text or "保护" in text or "正确" in text:
return text
if "优先" in question or "最好" in question:
# 选择最优的选项
for opt, text in options.items():
if "" in text or "" in text:
return text
if "首先" in question:
# 选择最基础的检查或操作
for opt, text in options.items():
if "检查" in text or "确认" in text:
return text
if "" in question or "忽略" in question or "错误" in question:
# 否定性问题,选择例外或错误的选项
pass # 需要特殊处理
# 如果没有匹配规则返回None表示需要保留原样
return None
# 4. 执行修复
fixed_count = 0
failed_count = 0
failed_questions = []
def fix_answer(match):
"""修复答案中的选项格式"""
global fixed_count, failed_count, failed_questions
full_match = match.group(0)
question = match.group(1)
answer = match.group(2)
# 检查是否包含选项格式
if re.search(r'[B-D]\.', answer) or (not answer.startswith('A.') and len(answer.split()) > 3):
# 尝试智能选择
correct_answer = smart_select_answer(question, answer)
if correct_answer:
fixed_count += 1
return f'{match.group(1)}",\n "answer": "{correct_answer}"'
else:
# 如果无法自动决定,记录下来
failed_count += 1
failed_questions.append((question, answer))
return full_match
# 匹配问题和答案对
pattern = r'"question": "([^"]+)",\n\s*"answer": "([^"]+)"'
content = re.sub(pattern, fix_answer, content)
print(f"\n成功修复: {fixed_count} 个答案")
print(f"需要手动处理: {failed_count} 个答案")
if failed_questions:
print("\n以下问题需要手动确认正确答案:")
for q, a in failed_questions[:10]: # 只显示前10个
print(f"问题: {q}")
print(f"选项: {a}")
print("-" * 50)
# 5. 保存文件
print("\n4. 保存更新后的文件...")
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
f.write(content)
# 6. 验证语法
print("\n5. 验证语法...")
import subprocess
result = subprocess.run(['node', '-c', 'src/mocks/resumeInterviewMock.js'],
capture_output=True, text=True)
if result.returncode == 0:
print("✅ 语法检查通过!")
print(f"\n✅ 修复完成!共处理 {fixed_count} 个选项格式的答案")
else:
print("❌ 语法错误:")
print(result.stderr)
print("\n正在恢复备份...")
with open(backup_file, 'r', encoding='utf-8') as f:
content = f.read()
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
f.write(content)
print("已恢复到备份版本")