255 lines
9.7 KiB
Python
255 lines
9.7 KiB
Python
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#!/usr/bin/env python3
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import json
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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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def extract_questions_from_position(position_name):
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"""从指定岗位提取面试题"""
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for position in positions_data:
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if position.get("岗位名称") == position_name:
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interview_content = position.get("面试题内容", "")
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if not interview_content:
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return []
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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 or '：' 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) > 500:
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# 找到合适的截断点
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cut_point = 500
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for sep in ['。', '；', '. ', '，']:
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pos = answer[:500].rfind(sep)
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if pos > 300:
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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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current_question = None
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if '问题：' in line_stripped:
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parts = line_stripped.split('问题：', 1)
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current_question = parts[1].strip() if len(parts) > 1 else None
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elif '问题:' in line_stripped:
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parts = line_stripped.split('问题:', 1)
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current_question = parts[1].strip() if len(parts) > 1 else None
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elif '. ' in line_stripped:
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parts = line_stripped.split('. ', 1)
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current_question = parts[1].strip() if len(parts) > 1 else None
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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：', '回答：']):
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collecting_answer = True
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for marker in ['参考回答：', '参考答案：', '答案：', '回答：']:
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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.startswith('#') or (line_stripped and line_stripped[0].isdigit() and '问题' in line_stripped):
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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) > 500:
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cut_point = 500
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for sep in ['。', '；', '. ', '，']:
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pos = answer[:500].rfind(sep)
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if pos > 300:
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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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# 限制为最多16个问题
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return questions[:16]
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return []
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def update_industry_questions(industry_name, position_name, q_prefix, group_id):
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"""更新指定产业的面试题"""
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print(f"\n处理 {industry_name}...")
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# 提取面试题
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questions = extract_questions_from_position(position_name)
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if not questions:
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print(f" ✗ 未找到 {position_name} 的面试题")
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return False
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print(f" 找到 {len(questions)} 个面试题")
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# 读取文件
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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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# 构建新的subQuestions
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sub_questions = []
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for i, qa in enumerate(questions, 1):
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sub_questions.append({
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"id": f"{q_prefix}_{i}",
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"question": qa['question'].replace('"', '\\"').replace('\n', ' '),
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"answer": qa['answer'].replace('"', '\\"').replace('\n', ' ')
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})
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# 构建新的questions对象
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new_questions = {
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"id": group_id,
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"question": f"# {industry_name}面试题",
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"subQuestions": sub_questions
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}
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# 生成JSON字符串
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questions_json = json.dumps([new_questions], ensure_ascii=False, indent=6)
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# 查找并替换
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# 先找到产业名称的位置
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industry_pos = content.find(f'"name": "{industry_name}"')
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if industry_pos == -1:
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print(f" ✗ 未找到产业 {industry_name}")
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return False
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# 找到这个产业的questions字段
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questions_start = content.find('"questions":', industry_pos)
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if questions_start == -1 or questions_start > industry_pos + 2000: # 限制搜索范围
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print(f" ✗ 未找到 {industry_name} 的questions字段")
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return False
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# 找到questions数组的开始和结束
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array_start = content.find('[', questions_start)
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if array_start == -1:
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print(f" ✗ 未找到questions数组开始")
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return False
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# 找到对应的结束括号
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bracket_count = 1
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pos = array_start + 1
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while bracket_count > 0 and pos < len(content):
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if content[pos] == '[':
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bracket_count += 1
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elif content[pos] == ']':
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bracket_count -= 1
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pos += 1
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if bracket_count != 0:
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print(f" ✗ 未能正确解析questions数组")
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return False
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# 替换内容
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# 调整缩进
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lines = questions_json.split('\n')
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formatted_lines = []
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for line in lines:
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if line.strip():
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formatted_lines.append(' ' + line)
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else:
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formatted_lines.append('')
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questions_json = '\n'.join(formatted_lines).strip()
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new_content = content[:array_start] + questions_json + content[pos-1:]
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# 写入文件
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with open(mock_file, 'w', encoding='utf-8') as f:
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f.write(new_content)
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# 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，回滚")
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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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return False
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print(f" ✓ 成功更新 {industry_name}")
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return True
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# 创建备份
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backup_file = f"{mock_file}.backup_each_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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with open(mock_file, 'r', encoding='utf-8') as f:
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original_content = f.read()
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with open(backup_file, 'w', encoding='utf-8') as f:
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f.write(original_content)
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print(f"已创建备份：{backup_file}")
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# 要更新的产业列表
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industries_to_update = [
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("包装设计", "包装设计师", "q2", "group_q2"),
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("插画设计", "插画师", "q3", "group_q3"),
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("灯光", "影视灯光", "q4", "group_q4"),
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("动画设计", "角色原画师", "q5", "group_q5"),
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("后期特效", "特效设计师", "q6", "group_q6"),
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("剪辑", "剪辑师", "q7", "group_q7"),
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("品牌设计", "品牌视觉内容策划", "q8", "group_q8"),
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("平面设计", "平面设计师", "q9", "group_q9"),
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("三维设计", "3D建模师", "q10", "group_q10"),
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("摄影/摄像", "影视摄像", "q11", "group_q11"),
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("室内设计", "室内设计师", "q12", "group_q12"),
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("调色", "调色师", "q13", "group_q13"),
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("新媒体运营", "自媒体运营专员", "q14", "group_q14"),
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("音频处理", "音效设计师", "q15", "group_q15"),
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("影视节目策划", "导演", "q16", "group_q16"),
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("直播", "直播运营", "q17", "group_q17")
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]
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# 逐个更新
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success_count = 0
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failed_list = []
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for industry_name, position_name, q_prefix, group_id in industries_to_update:
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if update_industry_questions(industry_name, position_name, q_prefix, group_id):
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success_count += 1
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else:
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failed_list.append(industry_name)
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# 输出结果
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print("\n" + "="*50)
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print(f"更新完成！成功：{success_count} 个，失败：{len(failed_list)} 个")
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if failed_list:
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print(f"失败的产业：{', '.join(failed_list)}")
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# 最终验证
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print("\n最终语法验证...")
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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"❌ 文件有语法错误")
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print(result[:500])
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else:
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print("✓ 所有语法验证通过")
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print("所有视觉设计产业的面试题更新完成！")
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