209 lines
8.3 KiB
Python
209 lines
8.3 KiB
Python
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#!/usr/bin/env python3
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import json
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import re
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import os
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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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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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# 创建岗位名称到面试题的映射
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interview_questions_map = {}
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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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# 解析markdown格式的面试题
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questions = []
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lines = interview_content.split('\n')
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current_section = ""
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current_question = None
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for line in lines:
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line = line.strip()
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if line.startswith('# '):
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# 新的大分类
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current_section = line[2:].strip()
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elif line and line[0].isdigit() and '. 问题' in line:
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# 保存上一个问题
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if current_question:
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questions.append(current_question)
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# 提取问题文本
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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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question_text = line
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current_question = {
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"question": question_text,
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"answer": "",
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"section": current_section
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}
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elif line.startswith('答案：') or line.startswith('答案:'):
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if current_question:
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answer = line.replace('答案：', '').replace('答案:', '').strip()
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current_question["answer"] = answer
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elif current_question and line and not line.startswith('#') and not (line[0].isdigit() and '. 问题' in line):
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# 继续添加到答案中（多行答案）
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if current_question["answer"] and not line.startswith('---'):
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current_question["answer"] += " " + line
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# 添加最后一个问题
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if current_question:
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questions.append(current_question)
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interview_questions_map[position_name] = questions
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if questions:
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print(f"解析 {position_name} 的面试题，共 {len(questions)} 个问题")
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print(f"\n总共找到 {len(interview_questions_map)} 个岗位的面试题")
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# 读取resumeInterviewMock.js文件
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print("\n正在读取 resumeInterviewMock.js...")
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with open(mock_file, 'r', encoding='utf-8') as f:
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content = f.read()
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# 创建备份
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backup_file = f"{mock_file}.backup_complete_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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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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print(f"已创建备份文件: {backup_file}")
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# 为每个产业创建面试题数据
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def create_industry_questions(position_name, questions):
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"""为特定岗位创建面试题数组"""
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# 按section分组
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sections = {}
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for q in questions:
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section = q.get('section', '通用问题')
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if section not in sections:
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sections[section] = []
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sections[section].append(q)
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# 创建questions数组
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result = []
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for section_name, section_questions in sections.items():
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if section_questions:
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# 创建分组
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group = {
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"id": f"group_q{len(result)+1}",
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"question": f"# {section_name}" if section_name else "# 面试题",
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"subQuestions": []
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}
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for idx, q in enumerate(section_questions):
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sub_q = {
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"id": f"q{len(result)+1}_{idx+1}",
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"question": q["question"],
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"answer": q["answer"] if q["answer"] else "请根据实际情况回答。"
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}
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group["subQuestions"].append(sub_q)
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if group["subQuestions"]: # 只添加有内容的分组
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result.append(group)
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return result
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# 定义产业和岗位的映射关系
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industry_positions_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", "角色原画师", "分镜设计师"],
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"后期特效": ["特效设计师", "3D特效师", "特效合成师", "CG总监助理"],
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"剪辑": ["剪辑师", "影视剪辑", "短视频剪辑师"],
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"品牌设计": ["品牌视觉内容策划", "LOGO设计师", "品牌视觉传播策划管培生"],
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"平面设计": ["平面设计师", "AIGC设计师", "AI绘画师"],
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"三维设计": ["3D建模师", "渲染合成师", "材质灯光师", "游戏场景地编", "游戏场景生态设计师助理", "潮玩设计师"],
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"摄影/摄像": ["摄影师", "影视摄像", "摄影美术指导助理"],
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"室内设计": ["室内设计师", "美术总监助理"],
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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", "自媒体运营专员"],
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"音频处理": ["音效设计师", "音频编辑师", "混音师", "录音师"],
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"影视节目策划": ["导演", "文案策划"],
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"直播": ["社群运营", "直播助理", "直播运营", "直播专员"]
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}
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# 更新industries中的questions字段
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print("\n开始更新面试题数据...")
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update_count = 0
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failed_industries = []
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for industry_name, position_names in industry_positions_map.items():
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# 获取该产业下第一个岗位的面试题作为产业面试题
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for position_name in position_names:
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if position_name in interview_questions_map:
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questions = interview_questions_map[position_name]
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if not questions:
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continue
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questions_data = create_industry_questions(position_name, questions)
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if not questions_data:
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continue
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questions_str = json.dumps(questions_data, ensure_ascii=False, indent=6)
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# 转义特殊字符
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escaped_name = re.escape(industry_name)
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# 查找并替换该产业的questions字段
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# 使用更精确的正则表达式
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pattern = r'("name":\s*"' + escaped_name + r'"[^}]*?"questions":\s*)\[[^\]]*?\]'
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match = re.search(pattern, content, re.DOTALL)
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if match:
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# 保留后续的逗号或大括号
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full_pattern = r'("name":\s*"' + escaped_name + r'"[^}]*?"questions":\s*)\[[^\]]*?\](\s*[,}])'
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full_match = re.search(full_pattern, content, re.DOTALL)
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if full_match:
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replacement = full_match.group(1) + questions_str + full_match.group(2)
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content = re.sub(full_pattern, replacement, content, count=1, flags=re.DOTALL)
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update_count += 1
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print(f"✓ 已更新 {industry_name} 产业的面试题（{len(questions)} 个问题）")
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else:
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failed_industries.append(industry_name)
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print(f"✗ 未找到 {industry_name} 产业的完整questions字段")
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else:
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failed_industries.append(industry_name)
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print(f"✗ 未找到 {industry_name} 产业的questions字段")
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break # 只使用第一个找到的岗位面试题
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# 写回文件
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print(f"\n正在写入更新后的内容...")
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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(f"\n更新完成!")
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print(f"成功更新: {update_count} 个产业的面试题")
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if failed_industries:
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print(f"失败的产业: {', '.join(failed_industries)}")
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# 验证语法
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print("\n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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print("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(mock_file, 'w', encoding='utf-8') as f:
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f.write(content)
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print("已恢复备份文件")
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else:
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print("✓ 语法验证通过")
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print("\n面试题更新成功！现在每个产业都有完整的面试题数据。")
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