250 lines
9.2 KiB
Python
250 lines
9.2 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文件获取所有面试题
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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("正在读取所有产业的面试题和答案...")
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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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# 创建产业到面试题的映射
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industry_questions = {}
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# 产业名称映射
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industry_map = {
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"UI设计师": "UI设计",
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"包装设计师": "包装设计",
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"插画师": "插画设计",
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"影视灯光": "灯光",
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"角色原画师": "动画设计",
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"场景原画师": "动画设计",
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"二维动画师": "动画设计",
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"三维动画师": "动画设计",
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"三维动作师": "动画设计",
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"分镜绘制": "动画设计",
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"特效设计师": "后期特效",
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"后期合成": "后期特效",
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"剪辑师": "剪辑",
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"剪辑助理": "剪辑",
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"导演助理": "剪辑",
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"品牌视觉内容策划": "品牌设计",
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"品牌设计师": "品牌设计",
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"标志设计师": "品牌设计",
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"平面设计师": "平面设计",
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"书籍装帧设计师": "平面设计",
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"广告设计师": "平面设计",
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"3D建模师": "三维设计",
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"三维模型师": "三维设计",
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"三维材质师": "三维设计",
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"三维灯光师": "三维设计",
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"三维绑定师": "三维设计",
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"三维渲染师": "三维设计",
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"影视摄像": "摄影/摄像",
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"影视摄影": "摄影/摄像",
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"室内设计师": "室内设计",
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"调色师": "调色",
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"自媒体运营专员": "新媒体运营",
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"新媒体内容策划": "新媒体运营",
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"社交媒体运营": "新媒体运营",
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"音效设计师": "音频处理",
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"音频编辑师": "音频处理",
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"配音配乐师": "音频处理",
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"导演": "影视节目策划",
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"编剧": "影视节目策划",
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"直播运营": "直播",
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"直播策划": "直播",
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"主持人": "直播"
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}
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# 提取每个岗位的面试题
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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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if position_name in industry_map:
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industry = industry_map[position_name]
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# 提取面试题
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interview_content = position.get("面试题内容", "")
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if interview_content and industry not in industry_questions:
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questions = []
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lines = interview_content.split('\n')
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current_question = None
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current_answer = ''
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collecting_answer = False
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for line in lines:
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line_stripped = line.strip()
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# 检测问题行
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if line_stripped and line_stripped[0].isdigit() and '. 问题' in line_stripped:
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# 保存上一个问题
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if current_question:
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answer = current_answer.strip()
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if len(answer) > 400:
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cut_point = 400
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for sep in ['。', '；', '. ']:
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pos = answer[:400].rfind(sep)
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if pos > 200:
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cut_point = pos + 1
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break
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answer = answer[:cut_point]
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questions.append({
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'question': current_question,
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'answer': answer if answer else "请根据您的实际经验和项目情况进行回答。"
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})
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# 提取新问题
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parts = line_stripped.split('问题：', 1)
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if len(parts) > 1:
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current_question = parts[1].strip()
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else:
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parts = line_stripped.split('问题:', 1)
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if len(parts) > 1:
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current_question = parts[1].strip()
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else:
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# 尝试其他格式
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parts = line_stripped.split('. ', 1)
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if len(parts) > 1:
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current_question = parts[1].strip()
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current_answer = ''
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collecting_answer = False
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# 检测答案开始
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elif any(marker in line for marker in ['参考回答：', '参考答案：', '答案：']):
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collecting_answer = True
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for marker in ['参考回答：', '参考答案：', '答案：']:
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if marker in line:
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answer_part = line.split(marker, 1)[1].strip()
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if answer_part:
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current_answer = answer_part
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break
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# 收集答案内容
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elif collecting_answer and line.strip():
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if (line_stripped and line_stripped[0].isdigit() and '. 问题' in line_stripped) or line_stripped.startswith('#'):
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collecting_answer = False
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else:
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if current_answer:
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current_answer += ' '
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current_answer += line.strip()
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# 保存最后一个问题
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if current_question:
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answer = current_answer.strip()
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if len(answer) > 400:
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cut_point = 400
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for sep in ['。', '；', '. ']:
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pos = answer[:400].rfind(sep)
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if pos > 200:
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cut_point = pos + 1
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break
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answer = answer[:cut_point]
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questions.append({
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'question': current_question,
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'answer': answer if answer else "请根据您的实际经验和项目情况进行回答。"
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})
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if questions:
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industry_questions[industry] = questions
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print(f"提取了 {industry} 的 {len(questions)} 个问题")
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# 读取现有文件
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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_all_industries_{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"\n已创建备份：{backup_file}")
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# 更新每个产业的questions字段
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print("\n开始更新所有产业的面试题...")
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updated_count = 0
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for industry, questions in industry_questions.items():
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if industry == "UI设计":
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# UI设计已经更新过了
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continue
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# 构建新的questions数组
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sub_questions = []
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for i, qa in enumerate(questions, 1):
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question_text = qa['question'].replace('"', '\\"')
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answer_text = qa['answer'].replace('"', '\\"').replace('\n', ' ')
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sub_questions.append({
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"id": f"q{updated_count+2}_{i}",
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"question": question_text,
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"answer": answer_text
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})
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# 查找产业位置
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pattern = rf'"name":\s*"{re.escape(industry)}".*?"questions":\s*\['
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match = re.search(pattern, content, re.DOTALL)
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if match:
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# 找到questions数组的结束位置
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start_pos = match.end()
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bracket_count = 1
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end_pos = start_pos
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while bracket_count > 0 and end_pos < len(content):
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if content[end_pos] == '[':
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bracket_count += 1
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elif content[end_pos] == ']':
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bracket_count -= 1
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end_pos += 1
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if bracket_count == 0:
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# 构建新的questions内容
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new_questions = [{
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"id": f"group_q{updated_count+2}",
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"question": f"# {industry}面试题",
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"subQuestions": sub_questions
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}]
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# 转换为JSON字符串
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questions_str = json.dumps(new_questions, ensure_ascii=False, indent=6)
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# 调整缩进
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questions_str = '\n'.join([' ' + line if line.strip() else line
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for line in questions_str.split('\n')])
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# 替换内容
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content = content[:match.end()-1] + questions_str + content[end_pos-1:]
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updated_count += 1
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print(f"✓ 更新了 {industry} 的 {len(sub_questions)} 个问题")
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else:
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print(f"✗ 未能正确解析 {industry} 的questions数组")
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else:
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print(f"✗ 未找到产业：{industry}")
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# 写入文件
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if updated_count > 0:
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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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# 验证语法
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print(f"\n验证语法...")
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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 {updated_count} 个产业的面试题！")
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print("所有视觉设计产业的面试题已更新为完整版本。")
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else:
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print("\n未能更新任何产业")
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