38350dca36
主要更新： - 更新所有12个产业的教务系统数据和功能 - 删除所有 node_modules 文件夹（节省3.7GB） - 删除所有 .yoyo 缓存文件夹（节省1.2GB） - 删除所有 dist 构建文件（节省55MB） 项目优化： - 项目大小从 8.1GB 减少到 3.2GB（节省60%空间） - 保留完整的源代码和配置文件 - .gitignore 已配置，防止再次提交大文件 启动脚本： - start-industry.sh/bat/ps1 脚本会自动检测并安装依赖 - 首次启动时自动运行 npm install - 支持单个或批量启动产业系统 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
158 lines
5.3 KiB
Python
158 lines
5.3 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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修复不完整的选项格式答案
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根据问题类型智能选择正确答案
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"""
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import re
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from datetime import datetime
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print("=== 修复不完整的选项格式答案 ===\n")
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# 1. 读取当前mock文件
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print("1. 读取当前mock文件...")
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with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
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content = f.read()
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# 2. 备份
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backup_time = datetime.now().strftime('%Y%m%d_%H%M%S')
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backup_file = f'src/mocks/resumeInterviewMock.js.backup_fix_options_{backup_time}'
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print(f"2. 创建备份: {backup_file}")
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with open(backup_file, 'w', encoding='utf-8') as f:
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f.write(content)
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# 3. 定义问题和正确答案的映射
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print("\n3. 分析并修复不完整的选项...")
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# 需要手动处理的特殊问题和答案
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manual_fixes = {
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"示教器操作时，必须佩戴": "使能开关", # C
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"机器人运行时，人员应": "站在安全围栏外", # B
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"搬运玻璃工件时，优先选用哪种夹具？": "真空吸盘", # B
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'机器人报"过载错误"，首先应': "检查是否卡住或超重", # B
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"下列哪种情况可忽略？": "机器人外壳轻微灰尘", # C
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"机器人固定至地面通常使用": "膨胀螺栓", # B (假设)
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"更换减速器需断开": "电源", # A (假设)
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"气动夹爪的工作压力通常为": "0.4-0.7 MPa", # B (假设)
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}
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# 通用的智能选择规则
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def smart_select_answer(question, answer_text):
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"""根据问题智能选择最合理的答案"""
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# 提取选项
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options = {}
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# 处理缺少A.的情况
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if not answer_text.startswith('A.') and 'B.' in answer_text:
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# 第一个选项前面没有A.
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parts = answer_text.split('B.')
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if parts[0].strip():
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options['A'] = parts[0].strip()
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remaining = 'B.' + 'B.'.join(parts[1:])
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# 继续提取其他选项
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for match in re.finditer(r'([B-D])\.\s*([^A-D]+?)(?=\s*[B-D]\.|$)', remaining):
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options[match.group(1)] = match.group(2).strip()
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else:
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# 正常格式
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for match in re.finditer(r'([A-D])\.\s*([^A-D]+?)(?=\s*[A-D]\.|$)', answer_text):
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options[match.group(1)] = match.group(2).strip()
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# 如果在手动映射中，直接返回答案
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for key, value in manual_fixes.items():
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if key in question:
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return value
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# 智能选择规则
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if "必须" in question or "应该" in question:
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# 安全相关问题，选择最安全的选项
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for opt, text in options.items():
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if "安全" in text or "保护" in text or "正确" in text:
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return text
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if "优先" in question or "最好" in question:
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# 选择最优的选项
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for opt, text in options.items():
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if "最" in text or "优" in text:
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return text
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if "首先" in question:
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# 选择最基础的检查或操作
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for opt, text in options.items():
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if "检查" in text or "确认" in text:
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return text
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if "不" in question or "忽略" in question or "错误" in question:
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# 否定性问题，选择例外或错误的选项
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pass # 需要特殊处理
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# 如果没有匹配规则，返回None表示需要保留原样
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return None
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# 4. 执行修复
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fixed_count = 0
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failed_count = 0
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failed_questions = []
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def fix_answer(match):
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"""修复答案中的选项格式"""
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global fixed_count, failed_count, failed_questions
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full_match = match.group(0)
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question = match.group(1)
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answer = match.group(2)
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# 检查是否包含选项格式
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if re.search(r'[B-D]\.', answer) or (not answer.startswith('A.') and len(answer.split()) > 3):
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# 尝试智能选择
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correct_answer = smart_select_answer(question, answer)
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if correct_answer:
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fixed_count += 1
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return f'{match.group(1)}",\n "answer": "{correct_answer}"'
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else:
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# 如果无法自动决定，记录下来
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failed_count += 1
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failed_questions.append((question, answer))
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return full_match
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# 匹配问题和答案对
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pattern = r'"question": "([^"]+)",\n\s*"answer": "([^"]+)"'
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content = re.sub(pattern, fix_answer, content)
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print(f"\n成功修复: {fixed_count} 个答案")
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print(f"需要手动处理: {failed_count} 个答案")
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if failed_questions:
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print("\n以下问题需要手动确认正确答案：")
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for q, a in failed_questions[:10]: # 只显示前10个
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print(f"问题: {q}")
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print(f"选项: {a}")
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print("-" * 50)
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# 5. 保存文件
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print("\n4. 保存更新后的文件...")
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(content)
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# 6. 验证语法
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print("\n5. 验证语法...")
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import subprocess
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result = subprocess.run(['node', '-c', 'src/mocks/resumeInterviewMock.js'],
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capture_output=True, text=True)
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if result.returncode == 0:
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print("✅ 语法检查通过！")
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print(f"\n✅ 修复完成！共处理 {fixed_count} 个选项格式的答案")
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else:
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print("❌ 语法错误：")
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print(result.stderr)
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print("\n正在恢复备份...")
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with open(backup_file, 'r', encoding='utf-8') as f:
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content = f.read()
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(content)
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print("已恢复到备份版本") |