cd2e307402
主要内容： - 包含12个产业的完整教务系统前端代码 - 智能启动脚本 (start-industry.sh) - 可视化产业导航页面 (index.html) - 项目文档 (README.md) 优化内容： - 删除所有node_modules和.yoyo文件夹，从7.5GB减少到2.7GB - 添加.gitignore文件避免上传不必要的文件 - 自动依赖管理和智能启动系统 产业列表： 1. 文旅产业 (5150) 2. 智能制造 (5151) 3. 智能开发 (5152) 4. 财经商贸 (5153) 5. 视觉设计 (5154) 6. 交通物流 (5155) 7. 大健康 (5156) 8. 土木水利 (5157) 9. 食品产业 (5158) 10. 化工产业 (5159) 11. 能源产业 (5160) 12. 环保产业 (5161) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
360 lines
12 KiB
Python
360 lines
12 KiB
Python
import json
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import re
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import os
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# 读取环保岗位简历数据
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with open('网页未导入数据/环保产业/环保岗位简历.json', 'r', encoding='utf-8') as f:
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env_data = json.load(f)
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# 读取面试题数据
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with open('网页未导入数据/岗位群面试题（全产业）.json', 'r', encoding='utf-8') as f:
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interview_data = json.load(f)
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# 读取修改版简历
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modified_resumes = {}
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modified_resume_dir = '网页未导入数据/环保产业/环保修改版简历'
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if os.path.exists(modified_resume_dir):
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for filename in os.listdir(modified_resume_dir):
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if filename.endswith('.md'):
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# 获取文件名（不含扩展名）
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file_position_name = filename.replace('.md', '')
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# 处理特殊的岗位名称映射
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if file_position_name == '环评工程师（环境影响评价工程师）':
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# 同时存储两种形式，以确保能匹配
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with open(os.path.join(modified_resume_dir, filename), 'r', encoding='utf-8') as f:
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content = f.read()
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modified_resumes['环评工程师'] = content
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modified_resumes['环评工程师（环境影响评价工程师）'] = content
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else:
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with open(os.path.join(modified_resume_dir, filename), 'r', encoding='utf-8') as f:
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modified_resumes[file_position_name] = f.read()
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print(f"已加载{len(modified_resumes)}个修改版简历：{list(modified_resumes.keys())}")
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# 按岗位群组织数据
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position_groups = {
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"环境规划": [],
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"节能与碳管理": [],
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"设备运维与支持": [],
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"生态修复": [],
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"污染治理": [],
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"资源回收与再生": [],
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"报告输出与管理": [],
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"环境监测": [],
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"环境体系咨询": [],
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"实验室检测": []
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}
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# 组织简历数据
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for item in env_data:
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group = item.get("简历岗位群", "")
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if group in position_groups:
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position_groups[group].append(item)
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# 获取环保产业的面试题
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env_interview_questions = {}
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for item in interview_data:
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if item.get("所属就业管家") == "环保":
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group = item.get("简历岗位群", "")
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if group not in env_interview_questions:
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env_interview_questions[group] = item.get("面试题内容", "")
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# 生成JavaScript格式的数据结构
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js_output = """// 岗位群列表
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const industries = [
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"""
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# 生成所有岗位群的数据
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industry_configs = [
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("environment_planning", "环境规划"),
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("energy_carbon", "节能与碳管理"),
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("equipment_maintenance", "设备运维与支持"),
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("ecological_restoration", "生态修复"),
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("pollution_control", "污染治理"),
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("resource_recycling", "资源回收与再生"),
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("report_management", "报告输出与管理"),
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("environment_monitoring", "环境监测"),
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("environment_consulting", "环境体系咨询"),
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("laboratory_testing", "实验室检测")
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]
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for idx, (industry_id, industry_name) in enumerate(industry_configs):
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js_output += f""" {{
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id: "{industry_id}",
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name: "{industry_name}",
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positions: [
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"""
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# 获取该岗位群的岗位列表
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positions = position_groups.get(industry_name, [])
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for pos_idx, pos in enumerate(positions):
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position_name = pos.get("岗位名称", "")
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level = pos.get("岗位等级标签", "普通岗")
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avatar = pos.get("简历头像url", "")
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js_output += f""" {{
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id: "{industry_id}_{pos_idx + 1}",
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title: "{position_name}",
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level: "{level}",
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avatar: "{avatar}",
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department: "{industry_name}",
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type: "全职",
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experience: "1-3年",
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education: "大专",
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salary: "6-10K",
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location: "苏州",
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updateTime: "2024-01-20",
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description: "{position_name}职位描述",
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requirements: [
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"熟悉{industry_name}相关工作",
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"具有良好的沟通能力",
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"有相关工作经验优先"
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]
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}}"""
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if pos_idx < len(positions) - 1:
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js_output += ","
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js_output += "\n"
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js_output += """ ],
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questions: [
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{
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"""
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# 添加面试题内容
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interview_content = env_interview_questions.get(industry_name, "")
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if interview_content:
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# 解析面试题内容，提取问答对
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questions = []
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lines = interview_content.split('\n')
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current_q = ""
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current_a = ""
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in_answer = False
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for i, line in enumerate(lines):
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# 匹配题目行：数字开头，可能包含"问题："
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if line.strip() and line.strip()[0].isdigit() and '.' in line:
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if current_q and current_a:
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questions.append((current_q, current_a))
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# 移除题号和"问题："前缀
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current_q = re.sub(r'^\d+\.\s*', '', line.strip())
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current_q = re.sub(r'^问题：\s*', '', current_q)
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current_a = ""
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in_answer = False
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# 匹配答案标记行
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elif '答案' in line or '参考' in line or '回答' in line or '回复' in line:
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in_answer = True
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# 如果答案在同一行（冒号后）
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if '：' in line or ':' in line:
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parts = re.split('[：:]', line, 1)
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if len(parts) > 1 and parts[1].strip():
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current_a = parts[1].strip()
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# 收集答案内容
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elif in_answer and line.strip():
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if not current_a:
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current_a = line.strip()
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else:
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current_a += " " + line.strip()
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# 空行可能表示答案结束
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elif in_answer and not line.strip() and current_a:
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in_answer = False
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if current_q and current_a:
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questions.append((current_q, current_a))
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# 不限制问题数量，显示所有题目
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# questions = questions[:6]
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js_output += f""" id: "{industry_id}_q1",
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question: "{industry_name}岗位群面试题",
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subQuestions: [
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"""
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for q_idx, (question, answer) in enumerate(questions):
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# 清理问题和答案文本
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question = question.replace('"', '\\"').replace('\n', ' ')
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answer = answer.replace('"', '\\"').replace('\n', ' ')
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js_output += f""" {{
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id: "q{q_idx + 1}",
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question: "{question}",
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answer: `{answer}`
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}}"""
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if q_idx < len(questions) - 1:
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js_output += ","
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js_output += "\n"
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js_output += """ ]
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}
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]
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"""
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js_output += " }"
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if idx < len(industry_configs) - 1:
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js_output += ","
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js_output += "\n"
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js_output += """];
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// 简历模板数据
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const resumeTemplates = {
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"""
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# 生成简历模板数据
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for idx, (industry_id, industry_name) in enumerate(industry_configs):
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js_output += f' "{industry_name}": [\n'
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positions = position_groups.get(industry_name, [])
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for pos_idx, pos in enumerate(positions):
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position_name = pos.get("岗位名称", "")
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level = pos.get("岗位等级标签", "普通岗")
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resume_content = pos.get("简历内容", "")
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project_name = pos.get("对应项目案例名称", "")
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avatar = pos.get("简历头像url", "")
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# 解析简历内容
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project_desc = ""
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core_skills = []
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compound_skills = []
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personal_summary = ""
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if resume_content:
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# 提取项目职责
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match = re.search(r'###\s*\(五\)\s*岗位职责[：:](.*?)(?=\n#|$)', resume_content, re.DOTALL)
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if match:
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project_desc = match.group(1).strip()
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# 提取垂直能力
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match = re.search(r'###\s*\(一\)\s*垂直能力(.*?)(?=###|\n#|$)', resume_content, re.DOTALL)
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if match:
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skills_text = match.group(1)
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core_skills = [s.strip() for s in re.findall(r'\d+\.\s*(.*?)(?=\n\d+\.|$)', skills_text, re.DOTALL)][:5]
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# 提取复合能力
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match = re.search(r'###\s*\(二\)\s*复合能力(.*?)(?=\n#|$)', resume_content, re.DOTALL)
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if match:
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skills_text = match.group(1)
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compound_skills = [s.strip() for s in re.findall(r'\d+\.\s*(.*?)(?=\n\d+\.|$)', skills_text, re.DOTALL)][:5]
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# 提取个人评价
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match = re.search(r'#\s*三、\s*个人评价(.*?)$', resume_content, re.DOTALL)
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if match:
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personal_summary = match.group(1).strip()
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# 清理文本
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def clean_text(text):
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return text.replace('\\n', '\\\\n').replace('"', '\\"').replace('\n', '\\n')
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# 获取修改版简历（如果存在）
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modified_content = modified_resumes.get(position_name)
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if not modified_content:
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# 尝试不同的岗位名称格式
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if '（' in position_name:
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# 尝试去掉括号部分
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short_name = position_name.split('（')[0]
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modified_content = modified_resumes.get(short_name)
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elif position_name == '环评工程师':
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# 特殊处理环评工程师
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modified_content = modified_resumes.get('环评工程师（环境影响评价工程师）')
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# 如果没有修改版，使用原始版本
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if not modified_content:
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modified_content = resume_content
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js_output += f""" {{
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position: "{position_name}",
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level: "{level}",
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avatar: "{avatar}",
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content: {{
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original: `{clean_text(resume_content)}`,
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modified: `{clean_text(modified_content)}`
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}},
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studentInfo: {{
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project_experience: {{
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project_name: "{project_name}",
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position: "{position_name}",
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time_period: "XXXXXX",
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company: "XXXXXX",
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description: `{clean_text(project_desc)}`
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}},
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core_skills: [
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"""
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for skill_idx, skill in enumerate(core_skills):
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js_output += f' "{clean_text(skill)}"'
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if skill_idx < len(core_skills) - 1:
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js_output += ","
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js_output += "\n"
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js_output += """ ],
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compound_skills: [
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"""
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for skill_idx, skill in enumerate(compound_skills):
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js_output += f' "{clean_text(skill)}"'
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if skill_idx < len(compound_skills) - 1:
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js_output += ","
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js_output += "\n"
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js_output += f""" ],
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personal_summary: "{clean_text(personal_summary)}"
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}}
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}}"""
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if pos_idx < len(positions) - 1:
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js_output += ","
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js_output += "\n"
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js_output += " ]"
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if idx < len(industry_configs) - 1:
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js_output += ","
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js_output += "\n"
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js_output += """};
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// 我的简历数据
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const myResume = {
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personalInfo: {
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name: "邓沐",
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phone: "138****8888",
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email: "dengmu@example.com",
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age: 22,
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education: "苏州农业职业技术学院 生态环境修复技术 2021.9-2024.6",
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experience: "1年",
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location: "苏州"
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},
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workExperience: [
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{
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company: "某环保科技公司",
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position: "环境监测实习生",
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duration: "2023.06-2024.01",
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description: "负责环境监测数据采集、分析和报告编制工作"
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}
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],
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skills: ["环境监测", "数据分析", "报告编制", "AutoCAD", "GIS"],
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projects: [
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{
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name: "某工业园区环境影响评价项目",
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role: "环评助理",
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duration: "2023.09-2024.01",
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description: "协助完成环境影响评价报告的编制和现场踏勘工作"
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}
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]
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};
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// 获取页面mock数据的函数
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export function getMockPageData() {
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return resumeInterviewMockData;
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}
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// 导出合并的数据
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export const resumeInterviewMockData = {
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industries,
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resumeTemplates,
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myResume
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};
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"""
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# 写入文件
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with open('src/mocks/resumeInterviewMock_env.js', 'w', encoding='utf-8') as f:
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f.write(js_output)
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print("转换完成！已生成 src/mocks/resumeInterviewMock_env.js") |