171 lines
6.2 KiB
Python
171 lines
6.2 KiB
Python
|
#!/usr/bin/env python3
|
|||
|
|
# -*- coding: utf-8 -*-
|
|||
|
|
|
|||
|
|
import json
|
|||
|
|
import re
|
|||
|
|
from datetime import datetime
|
|||
|
|
|
|||
|
|
def load_visual_design_data():
|
|||
|
|
"""加载视觉设计岗位简历数据"""
|
|||
|
|
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:
|
|||
|
|
return json.load(f)
|
|||
|
|
|
|||
|
|
def extract_questions_with_structure(content, industry_name):
|
|||
|
|
"""从面试题内容中提取问题和答案（保持subQuestions结构）"""
|
|||
|
|
questions = []
|
|||
|
|
|
|||
|
|
# 提取所有问题
|
|||
|
|
pattern = r'(\d+)\.\s*问题[：:]?\s*(.*?)(?:\n\s*)?(?:参考回答[：:]?)(.*?)(?=\d+\.\s*问题|$)'
|
|||
|
|
matches = re.findall(pattern, content, re.DOTALL)
|
|||
|
|
|
|||
|
|
# 创建子问题数组
|
|||
|
|
sub_questions = []
|
|||
|
|
for i, match in enumerate(matches[:10], 1): # 限制为前10个问题
|
|||
|
|
q_num = match[0]
|
|||
|
|
question_text = match[1].strip()
|
|||
|
|
answer_text = match[2].strip()
|
|||
|
|
|
|||
|
|
sub_questions.append({
|
|||
|
|
"id": f"q1_{i}",
|
|||
|
|
"question": question_text,
|
|||
|
|
"answer": answer_text
|
|||
|
|
})
|
|||
|
|
|
|||
|
|
# 如果找到了问题，创建带有subQuestions的结构
|
|||
|
|
if sub_questions:
|
|||
|
|
questions.append({
|
|||
|
|
"id": "group_q1",
|
|||
|
|
"question": f"# {industry_name}面试题",
|
|||
|
|
"subQuestions": sub_questions
|
|||
|
|
})
|
|||
|
|
|
|||
|
|
return questions
|
|||
|
|
|
|||
|
|
def main():
|
|||
|
|
print("=== 精确替换面试题数据 ===\n")
|
|||
|
|
|
|||
|
|
# 创建备份
|
|||
|
|
timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
|
|||
|
|
backup_name = f'src/mocks/resumeInterviewMock.js.backup_{timestamp}_accurate'
|
|||
|
|
|
|||
|
|
with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
|
|||
|
|
mock_content = f.read()
|
|||
|
|
|
|||
|
|
with open(backup_name, 'w', encoding='utf-8') as f:
|
|||
|
|
f.write(mock_content)
|
|||
|
|
print(f"✓ 已创建备份: {backup_name}\n")
|
|||
|
|
|
|||
|
|
# 加载视觉设计数据
|
|||
|
|
visual_data = load_visual_design_data()
|
|||
|
|
|
|||
|
|
# 创建岗位群到岗位名称的精确映射
|
|||
|
|
# 基于实际数据分析结果
|
|||
|
|
industry_position_map = {
|
|||
|
|
'UI设计': 'UI设计师',
|
|||
|
|
'包装设计': '包装设计师', # 有多个，选择包装设计师
|
|||
|
|
'插画设计': '插画师', # 有多个，选择插画师
|
|||
|
|
'灯光': '影视灯光', # 有多个，选择影视灯光
|
|||
|
|
'动画设计': '动画师', # 有多个，选择动画师
|
|||
|
|
'后期特效': '特效设计师', # 有多个，选择特效设计师
|
|||
|
|
'剪辑': '剪辑师', # 有多个，选择剪辑师
|
|||
|
|
'品牌设计': '品牌视觉内容策划', # 有多个，选择品牌视觉内容策划
|
|||
|
|
'平面设计': '平面设计师',
|
|||
|
|
'三维设计': 'CG总监助理', # 有多个，选择CG总监助理
|
|||
|
|
'摄影/摄像': '摄影师', # 有多个，选择摄影师
|
|||
|
|
'室内设计': '室内设计师',
|
|||
|
|
'调色': '调色师',
|
|||
|
|
'新媒体运营': '新媒体运营专员',
|
|||
|
|
'音频处理': '录音师',
|
|||
|
|
'影视节目策划': '文案策划',
|
|||
|
|
'直播': '直播专员' # 有多个，选择直播专员
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
updated_count = 0
|
|||
|
|
failed_list = []
|
|||
|
|
|
|||
|
|
for industry_name, position_name in industry_position_map.items():
|
|||
|
|
print(f"处理 {industry_name}...")
|
|||
|
|
|
|||
|
|
# 查找对应的面试题内容
|
|||
|
|
interview_content = None
|
|||
|
|
for item in visual_data:
|
|||
|
|
if item.get('岗位名称') == position_name and item.get('面试题内容'):
|
|||
|
|
interview_content = item.get('面试题内容')
|
|||
|
|
break
|
|||
|
|
|
|||
|
|
if not interview_content:
|
|||
|
|
print(f" ⚠️ 未找到 {position_name} 的面试题内容")
|
|||
|
|
failed_list.append(industry_name)
|
|||
|
|
continue
|
|||
|
|
|
|||
|
|
# 提取问题
|
|||
|
|
questions = extract_questions_with_structure(interview_content, industry_name)
|
|||
|
|
|
|||
|
|
if not questions:
|
|||
|
|
print(f" ⚠️ 未能从 {position_name} 提取面试题")
|
|||
|
|
failed_list.append(industry_name)
|
|||
|
|
continue
|
|||
|
|
|
|||
|
|
# 构建新的questions数组JSON
|
|||
|
|
questions_json = json.dumps(questions, ensure_ascii=False, indent=2)
|
|||
|
|
|
|||
|
|
# 调整缩进
|
|||
|
|
lines = questions_json.split('\n')
|
|||
|
|
adjusted_lines = []
|
|||
|
|
for line in lines:
|
|||
|
|
if line.strip():
|
|||
|
|
adjusted_lines.append(' ' + line)
|
|||
|
|
else:
|
|||
|
|
adjusted_lines.append('')
|
|||
|
|
questions_json = '\n'.join(adjusted_lines)
|
|||
|
|
|
|||
|
|
# 查找并替换
|
|||
|
|
# 使用更精确的模式：找到industry name后，找到其questions数组并替换
|
|||
|
|
pattern = rf'("name":\s*"{re.escape(industry_name)}"[^{{]*?"questions":\s*)\[[^\[]*?(?:\[[^\]]*?\][^\[]*?)*?\]'
|
|||
|
|
|
|||
|
|
def replace_func(match):
|
|||
|
|
prefix = match.group(1)
|
|||
|
|
return prefix + questions_json.strip()
|
|||
|
|
|
|||
|
|
new_mock_content = re.sub(pattern, replace_func, mock_content, count=1, flags=re.DOTALL)
|
|||
|
|
|
|||
|
|
if new_mock_content != mock_content:
|
|||
|
|
mock_content = new_mock_content
|
|||
|
|
updated_count += 1
|
|||
|
|
sub_count = len(questions[0].get('subQuestions', [])) if questions else 0
|
|||
|
|
print(f" ✓ 成功更新 (使用岗位: {position_name}, 共{sub_count}个问题)")
|
|||
|
|
else:
|
|||
|
|
print(f" ✗ 未能更新")
|
|||
|
|
failed_list.append(industry_name)
|
|||
|
|
|
|||
|
|
# 保存文件
|
|||
|
|
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
|
|||
|
|
f.write(mock_content)
|
|||
|
|
|
|||
|
|
print(f"\n✅ 更新完成！")
|
|||
|
|
print(f" 成功更新: {updated_count}个岗位群")
|
|||
|
|
if failed_list:
|
|||
|
|
print(f" 失败: {len(failed_list)}个")
|
|||
|
|
for name in failed_list:
|
|||
|
|
print(f" - {name}")
|
|||
|
|
|
|||
|
|
# 验证语法
|
|||
|
|
import subprocess
|
|||
|
|
try:
|
|||
|
|
result = subprocess.run(['node', '-c', 'src/mocks/resumeInterviewMock.js'],
|
|||
|
|
capture_output=True, text=True)
|
|||
|
|
if result.returncode == 0:
|
|||
|
|
print("\n✅ 文件语法验证通过")
|
|||
|
|
else:
|
|||
|
|
print(f"\n❌ 语法错误:\n{result.stderr}")
|
|||
|
|
print("\n恢复备份...")
|
|||
|
|
with open(backup_name, 'r', encoding='utf-8') as f:
|
|||
|
|
backup_content = f.read()
|
|||
|
|
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
|
|||
|
|
f.write(backup_content)
|
|||
|
|
print("已恢复备份")
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"⚠️ 无法验证语法: {str(e)}")
|
|||
|
|
|
|||
|
|
if __name__ == '__main__':
|
|||
|
|
main()
|