更新12个教务系统并优化项目大小
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>
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KQL
@@ -1,182 +1,160 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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import os
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import re
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from datetime import datetime
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# 读取视觉设计岗位简历.json文件
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json_file = '网页未导入数据/视觉设计产业/视觉设计岗位简历.json'
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mock_file = 'src/mocks/resumeInterviewMock.js'
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def load_visual_design_data():
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"""加载视觉设计岗位简历数据"""
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with open('网页未导入数据/视觉设计产业/视觉设计岗位简历.json', 'r', encoding='utf-8') as f:
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return json.load(f)
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print("正在读取完整的面试题数据...")
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with open(json_file, 'r', encoding='utf-8') as f:
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positions_data = json.load(f)
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def extract_questions_simple(content):
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"""从面试题内容中提取问题和答案（简单格式）"""
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questions = []
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# 解析所有岗位的面试题
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all_questions = {}
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for position in positions_data:
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position_name = position.get("岗位名称", "")
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interview_content = position.get("面试题内容", "")
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if position_name and interview_content:
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questions = []
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lines = interview_content.split('\n')
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current_section = "专业能力类" # 默认分类
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# 提取所有问题
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pattern = r'(\d+)\.\s*问题[：:]?\s*(.*?)(?:\n\s*)?(?:参考回答[：:]?)(.*?)(?=\d+\.\s*问题|$)'
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matches = re.findall(pattern, content, re.DOTALL)
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for line in lines:
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line = line.strip()
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# 识别大分类
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if line.startswith('# '):
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section_text = line[2:].strip()
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if '专业' in section_text or '能力' in section_text:
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current_section = "专业能力类"
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elif '行为' in section_text or '经历' in section_text:
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current_section = "行为经历类"
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elif '情景' in section_text or '应变' in section_text:
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current_section = "情景应变类"
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else:
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current_section = section_text
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for i, match in enumerate(matches[:5], 1): # 限制为前5个问题
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q_num = match[0]
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question_text = match[1].strip()
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answer_text = match[2].strip()
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# 识别问题
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elif line and line[0].isdigit() and '. 问题' in line:
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parts = line.split('问题：', 1)
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if len(parts) > 1:
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question_text = parts[1].strip()
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else:
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parts = line.split('问题:', 1)
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if len(parts) > 1:
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question_text = parts[1].strip()
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else:
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continue
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questions.append({
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"id": f"q{i}",
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"question": question_text,
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"answer": answer_text
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})
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questions.append({
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"question": question_text,
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"section": current_section
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})
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return questions
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all_questions[position_name] = questions
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if questions:
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print(f"解析 {position_name}：{len(questions)} 个问题")
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def read_mock_file():
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"""读取并解析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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return content
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# 创建备份
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backup_file = f"{mock_file}.backup_direct_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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with open(mock_file, 'r', encoding='utf-8') as f:
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original_content = f.read()
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with open(backup_file, 'w', encoding='utf-8') as f:
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f.write(original_content)
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print(f"\n已创建备份：{backup_file}")
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def update_industry_questions(mock_content, industry_name, questions):
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"""更新指定岗位群的面试题"""
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# 定义产业和岗位的映射
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industry_map = {
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"UI设计": "UI设计师",
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"包装设计": "包装设计师",
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"插画设计": "插画师",
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"灯光": "影视灯光",
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"动画设计": "动画师",
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"后期特效": "特效设计师",
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"剪辑": "剪辑师",
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"品牌设计": "品牌视觉内容策划",
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"平面设计": "平面设计师",
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"三维设计": "3D建模师",
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"摄影/摄像": "摄影师",
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"室内设计": "室内设计师",
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"调色": "调色师",
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"新媒体运营": "新媒体运营专员",
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"音频处理": "音效设计师",
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"影视节目策划": "导演",
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"直播": "直播助理"
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}
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# 构建questions数组的JSON字符串
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questions_str = json.dumps(questions, ensure_ascii=False, indent=6)
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# 更新面试题
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print("\n开始更新面试题...")
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content = original_content
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update_count = 0
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for industry_name, position_name in industry_map.items():
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if position_name not in all_questions:
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print(f"✗ 未找到 {position_name} 的面试题数据")
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continue
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questions = all_questions[position_name]
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if not questions:
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continue
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# 按分类组织问题
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sections = {}
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for q in questions:
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section = q['section']
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if section not in sections:
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sections[section] = []
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sections[section].append(q['question'])
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# 构建新的questions数组
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new_questions = []
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group_id = 1
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for section_name, section_questions in sections.items():
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if section_questions:
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group = {
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"id": f"group_q{group_id}",
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"question": f"# {section_name}",
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"subQuestions": []
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}
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for idx, q_text in enumerate(section_questions, 1):
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group["subQuestions"].append({
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"id": f"q{group_id}_{idx}",
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"question": q_text,
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"answer": "请根据您的实际经验和项目情况，结合专业知识进行回答。"
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})
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new_questions.append(group)
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group_id += 1
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# 生成JSON字符串
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questions_json = json.dumps(new_questions, ensure_ascii=False, indent=6)
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# 调整缩进（每行前面加4个空格）
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lines = questions_str.split('\n')
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adjusted_lines = []
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for line in lines:
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if line.strip():
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adjusted_lines.append(' ' + line)
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else:
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adjusted_lines.append(line)
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questions_str = '\n'.join(adjusted_lines)
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# 查找并替换
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# 搜索产业名称
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search_str = f'"name": "{industry_name}"'
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if search_str in content:
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# 找到产业位置
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start_idx = content.find(search_str)
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# 模式：找到industry name，然后找到其questions数组
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pattern = rf'("name":\s*"{re.escape(industry_name)}".*?"questions":\s*\[)[^]]*?(\])'
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# 找到对应的questions字段
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questions_start = content.find('"questions":', start_idx)
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if questions_start > 0 and questions_start < start_idx + 2000: # 确保在同一产业内
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# 找到questions数组的开始 [
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array_start = content.find('[', questions_start)
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if array_start > 0:
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# 找到对应的结束 ]
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bracket_count = 1
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idx = array_start + 1
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while idx < len(content) and bracket_count > 0:
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if content[idx] == '[':
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bracket_count += 1
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elif content[idx] == ']':
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bracket_count -= 1
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idx += 1
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def replace_func(match):
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prefix = match.group(1)
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suffix = match.group(2)
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return prefix + '\n' + questions_str.strip() + '\n ' + suffix
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if bracket_count == 0:
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# 替换questions内容
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content = content[:array_start] + questions_json + content[idx-1:]
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update_count += 1
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print(f"✓ 已更新 {industry_name} ({len(questions)} 个问题)")
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new_content = re.sub(pattern, replace_func, mock_content, count=1, flags=re.DOTALL)
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# 写回文件
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if update_count > 0:
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print(f"\n正在写入文件...")
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.write(content)
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return new_content != mock_content, new_content
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def main():
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"""主函数"""
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print("=== 直接更新面试题数据 ===\n")
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# 创建备份
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timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
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backup_name = f'src/mocks/resumeInterviewMock.js.backup_{timestamp}_direct'
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mock_content = read_mock_file()
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with open(backup_name, 'w', encoding='utf-8') as f:
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f.write(mock_content)
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print(f"✓ 已创建备份: {backup_name}\n")
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# 加载视觉设计数据
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visual_data = load_visual_design_data()
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# 岗位群映射
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industry_map = {
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"UI设计": ["UI设计师"],
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"包装设计": ["包装设计师", "包装设计师助理"],
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"插画设计": ["插画师"],
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"灯光": ["影视灯光", "摄影美术指导助理"],
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"动画设计": ["动画师"],
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"平面设计": ["平面设计师"],
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"品牌设计": ["品牌视觉内容策划"],
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"三维设计": ["CG总监助理", "3D建模师"],
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"后期特效": ["特效设计师", "特效合成师"],
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"剪辑": ["剪辑师", "剪辑助理"],
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"调色": ["调色师"],
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"音频处理": ["录音师", "音效设计师"],
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"直播": ["直播专员", "直播助理"],
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"新媒体运营": ["新媒体运营专员"],
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"影视节目策划": ["文案策划"],
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"室内设计": ["室内设计师"],
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"摄影/摄像": ["摄影师", "影视摄像"]
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}
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updated_count = 0
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for industry_name, position_names in industry_map.items():
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# 查找面试题内容
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questions = None
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used_position = None
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for position_name in position_names:
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for item in visual_data:
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if item.get('岗位名称') == position_name and item.get('面试题内容'):
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questions = extract_questions_simple(item.get('面试题内容', ''))
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used_position = position_name
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break
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if questions:
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break
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if not questions:
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print(f"⚠️ 未找到面试题：{industry_name}")
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continue
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# 更新mock文件
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success, mock_content = update_industry_questions(mock_content, industry_name, questions)
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if success:
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updated_count += 1
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print(f"✓ 已更新岗位群：{industry_name} (使用岗位：{used_position}，共{len(questions)}个问题)")
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else:
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print(f"✗ 未能更新岗位群：{industry_name}")
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# 保存文件
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(mock_content)
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print(f"\n✅ 更新完成！共更新{updated_count}个岗位群")
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# 验证语法
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print("验证文件语法...")
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result = os.popen(f'node -c {mock_file} 2>&1').read()
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if result:
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print(f"❌ 语法错误：{result}")
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# 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(mock_file, 'w', encoding='utf-8') as f:
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f.write(content)
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print("已恢复备份")
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else:
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print("✓ 语法验证通过")
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print(f"\n成功更新 {update_count} 个产业的面试题！")
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else:
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print("\n未更新任何产业")
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import subprocess
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try:
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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("✅ 文件语法验证通过")
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else:
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print(f"❌ 文件语法验证失败:\n{result.stderr}")
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print(f"\n恢复备份: {backup_name}")
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with open(backup_name, 'r', encoding='utf-8') as f:
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backup_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(backup_content)
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print("已恢复备份")
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except Exception as e:
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print(f"⚠️ 无法验证语法: {str(e)}")
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if __name__ == '__main__':
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main()
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