171 lines
6.2 KiB
Python
171 lines
6.2 KiB
Python
|
#!/usr/bin/env python3
|
|||
|
|
# -*- coding: utf-8 -*-
|
|||
|
|
"""
|
|||
|
|
重新组织面试题数据 - 只修改数据，不修改代码结构
|
|||
|
|
将各个position的questions合并到对应industry的questions字段
|
|||
|
|
"""
|
|||
|
|
|
|||
|
|
import json
|
|||
|
|
import re
|
|||
|
|
from datetime import datetime
|
|||
|
|
|
|||
|
|
def load_health_resume_data():
|
|||
|
|
"""加载大健康岗位简历数据"""
|
|||
|
|
try:
|
|||
|
|
with open('网页未导入数据/大健康产业/大健康岗位简历.json', 'r', encoding='utf-8') as f:
|
|||
|
|
return json.load(f)
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"Error loading health resume data: {e}")
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
def parse_interview_content_to_flat_array(content):
|
|||
|
|
"""解析面试题内容，转换为扁平的问答数组"""
|
|||
|
|
if not content:
|
|||
|
|
return []
|
|||
|
|
|
|||
|
|
questions = []
|
|||
|
|
|
|||
|
|
# 按大标题分割（# 一、二、三等）
|
|||
|
|
if content.startswith('# '):
|
|||
|
|
content = '\n' + content
|
|||
|
|
sections = re.split(r'\n# ([一二三四五六七八九十]+、[^#\n]+)', content)
|
|||
|
|
|
|||
|
|
if len(sections) < 2:
|
|||
|
|
return []
|
|||
|
|
|
|||
|
|
question_counter = 1
|
|||
|
|
for i in range(1, len(sections), 2):
|
|||
|
|
if i + 1 < len(sections):
|
|||
|
|
section_title = sections[i].strip()
|
|||
|
|
section_content = sections[i + 1].strip()
|
|||
|
|
|
|||
|
|
# 按问题编号分割 (1. 2. 3. 等)
|
|||
|
|
question_parts = re.split(r'\n\s*(\d+\.)?\s*', section_content)
|
|||
|
|
|
|||
|
|
for j in range(1, len(question_parts)):
|
|||
|
|
if j >= len(question_parts) or question_parts[j] is None:
|
|||
|
|
continue
|
|||
|
|
question_block = str(question_parts[j]).strip()
|
|||
|
|
if not question_block or question_block.endswith('.'):
|
|||
|
|
continue
|
|||
|
|
|
|||
|
|
# 提取问题和答案
|
|||
|
|
lines = question_block.split('\n')
|
|||
|
|
question_text = ""
|
|||
|
|
answer_text = ""
|
|||
|
|
in_answer = False
|
|||
|
|
|
|||
|
|
for line in lines:
|
|||
|
|
line = line.strip()
|
|||
|
|
if line.startswith('示例答案：'):
|
|||
|
|
in_answer = True
|
|||
|
|
continue
|
|||
|
|
|
|||
|
|
if not in_answer and line and not line.startswith('示例答案：'):
|
|||
|
|
if question_text:
|
|||
|
|
question_text += " "
|
|||
|
|
question_text += line
|
|||
|
|
elif in_answer and line:
|
|||
|
|
if answer_text:
|
|||
|
|
answer_text += " "
|
|||
|
|
answer_text += line
|
|||
|
|
|
|||
|
|
if question_text:
|
|||
|
|
questions.append({
|
|||
|
|
"id": f"q{question_counter}",
|
|||
|
|
"question": question_text,
|
|||
|
|
"answer": answer_text
|
|||
|
|
})
|
|||
|
|
question_counter += 1
|
|||
|
|
|
|||
|
|
return questions
|
|||
|
|
|
|||
|
|
def reorganize_questions_by_industry():
|
|||
|
|
"""重新组织面试题数据"""
|
|||
|
|
try:
|
|||
|
|
# 加载大健康数据
|
|||
|
|
health_data = load_health_resume_data()
|
|||
|
|
if not health_data:
|
|||
|
|
print("Failed to load health resume data")
|
|||
|
|
return False
|
|||
|
|
|
|||
|
|
# 按面试题类别分组
|
|||
|
|
category_questions = {}
|
|||
|
|
for item in health_data:
|
|||
|
|
category = item.get('面试题', '')
|
|||
|
|
interview_content = item.get('面试题内容', '')
|
|||
|
|
|
|||
|
|
if category and interview_content and category not in category_questions:
|
|||
|
|
questions = parse_interview_content_to_flat_array(interview_content)
|
|||
|
|
if questions:
|
|||
|
|
category_questions[category] = questions
|
|||
|
|
|
|||
|
|
print(f"解析了 {len(category_questions)} 个面试题类别")
|
|||
|
|
|
|||
|
|
# 读取现有文件
|
|||
|
|
with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
|
|||
|
|
content = f.read()
|
|||
|
|
|
|||
|
|
# 创建备份
|
|||
|
|
backup_filename = f'src/mocks/resumeInterviewMock.js.backup_{datetime.now().strftime("%Y%m%d_%H%M%S")}'
|
|||
|
|
with open(backup_filename, 'w', encoding='utf-8') as f:
|
|||
|
|
f.write(content)
|
|||
|
|
print(f"已创建备份文件: {backup_filename}")
|
|||
|
|
|
|||
|
|
updated_content = content
|
|||
|
|
|
|||
|
|
# 首先移除所有position级别的questions字段
|
|||
|
|
updated_content = re.sub(
|
|||
|
|
r',?\s*"questions": \[[^\]]*?\](?:\s*,\s*)?',
|
|||
|
|
'',
|
|||
|
|
updated_content,
|
|||
|
|
flags=re.DOTALL
|
|||
|
|
)
|
|||
|
|
|
|||
|
|
# 映射关系：行业名称 -> 面试题类别
|
|||
|
|
industry_category_mapping = {
|
|||
|
|
"健康管理": "健康管理类岗位面试题",
|
|||
|
|
"健康检查": "健康检查类岗位面试题",
|
|||
|
|
"康复治疗": "康复治疗类岗位面试题",
|
|||
|
|
"医疗美容": "医疗美容类岗位面试题",
|
|||
|
|
"运营管理": "运营类岗位面试题",
|
|||
|
|
"心理健康": "心理健康类岗位面试题",
|
|||
|
|
"供应链管理": "供应链类岗位面试题",
|
|||
|
|
"药品制造": "药品制造类岗位面试题",
|
|||
|
|
"检测分析": "检测分析类岗位面试题",
|
|||
|
|
"临床研究": "临床研究类岗位面试题"
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# 为每个行业添加对应的面试题
|
|||
|
|
for industry_name, category in industry_category_mapping.items():
|
|||
|
|
if category in category_questions:
|
|||
|
|
questions_data = category_questions[category]
|
|||
|
|
questions_json = json.dumps(questions_data, ensure_ascii=False, indent=6)
|
|||
|
|
|
|||
|
|
# 查找对应行业并添加questions字段
|
|||
|
|
pattern = rf'("name": "{re.escape(industry_name)}"[^}}]*?"positions": \[[^\]]*?\]\s*)'
|
|||
|
|
replacement = r'\1,\n "questions": ' + questions_json
|
|||
|
|
|
|||
|
|
updated_content = re.sub(
|
|||
|
|
pattern,
|
|||
|
|
replacement,
|
|||
|
|
updated_content,
|
|||
|
|
flags=re.DOTALL
|
|||
|
|
)
|
|||
|
|
print(f"✅ 为 {industry_name} 行业添加了面试题 ({len(questions_data)} 个问题)")
|
|||
|
|
|
|||
|
|
# 写回文件
|
|||
|
|
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
|
|||
|
|
f.write(updated_content)
|
|||
|
|
|
|||
|
|
print("面试题数据重组完成！")
|
|||
|
|
return True
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"重组失败: {e}")
|
|||
|
|
import traceback
|
|||
|
|
traceback.print_exc()
|
|||
|
|
return False
|
|||
|
|
|
|||
|
|
if __name__ == "__main__":
|
|||
|
|
reorganize_questions_by_industry()
|