78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
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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 re
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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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def extract_questions_from_content(content):
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"""从面试题内容中提取问题和答案"""
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questions = []
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# 找到所有问题和答案对
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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 match in matches[:5]: # 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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questions.append({
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"id": f"q{q_num}",
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"question": question_text,
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"answer": answer_text
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})
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return questions
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def generate_js_code():
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"""生成可以直接使用的JS代码"""
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visual_data = load_visual_design_data()
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# 生成一个映射对象
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questions_map = {}
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for item in visual_data:
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position_name = item.get('岗位名称', '')
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interview_content = item.get('面试题内容', '')
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if position_name and interview_content:
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questions = extract_questions_from_content(interview_content)
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if questions:
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questions_map[position_name] = questions
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# 生成JS代码
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js_code = "// 视觉设计产业岗位面试题数据\nconst visualDesignQuestions = {\n"
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for position_name, questions in questions_map.items():
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js_code += f' "{position_name}": [\n'
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for q in questions:
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# 对特殊字符进行转义
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question_escaped = q['question'].replace('\\', '\\\\').replace('"', '\\"').replace('\n', '\\n')
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answer_escaped = q['answer'].replace('\\', '\\\\').replace('"', '\\"').replace('\n', '\\n')
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js_code += f''' {{
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id: "{q['id']}",
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question: "{question_escaped}",
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answer: "{answer_escaped}"
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}},\n'''
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js_code = js_code.rstrip(',\n') + '\n ],\n'
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js_code = js_code.rstrip(',\n') + '\n};\n\nexport default visualDesignQuestions;'
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# 保存到文件
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with open('visualDesignQuestions.js', 'w', encoding='utf-8') as f:
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f.write(js_code)
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print("已生成visualDesignQuestions.js文件")
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print(f"包含{len(questions_map)}个岗位的面试题数据")
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if __name__ == '__main__':
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generate_js_code()
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