124 lines
4.1 KiB
Python
124 lines
4.1 KiB
Python
# AI帮你面试 - 核心应用程序
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from flask import Flask, render_template, request, jsonify
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import os
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from dotenv import load_dotenv
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# 加载环境变量
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load_dotenv()
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# 创建Flask应用实例
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app = Flask(__name__)
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# 配置API密钥
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API_KEY = os.getenv('AI_API_KEY', '') # 从环境变量获取API密钥
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# 定义面试流程数据
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interview_process = [
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{"id": 1, "title": "自我介绍", "description": "请简要介绍您自己，包括教育背景和工作经验", "duration": "3分钟"},
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{"id": 2, "title": "技术能力评估", "description": "回答技术相关问题，展示专业知识", "duration": "15分钟"},
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{"id": 3, "title": "项目经验分享", "description": "分享您参与的重要项目和成果", "duration": "10分钟"},
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{"id": 4, "title": "问题与解答", "description": "您可以向面试官提问", "duration": "7分钟"}
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]
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# API密钥验证装饰器
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def require_api_key(func):
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def wrapper(*args, **kwargs):
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# 从请求头获取API密钥
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api_key = request.headers.get('X-API-Key')
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# 调试信息（实际生产环境应移除）
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print(f"[DEBUG] Received API Key: '{api_key}'")
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print(f"[DEBUG] Received API Key Length: {len(api_key) if api_key else 0}")
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print(f"[DEBUG] Expected API Key: '{API_KEY}'")
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print(f"[DEBUG] Expected API Key Length: {len(API_KEY)}")
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print(f"[DEBUG] Match: {api_key == API_KEY}")
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# 检查是否有不可见字符
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if api_key:
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print(f"[DEBUG] Received API Key Hex: {[hex(ord(c)) for c in api_key]}")
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print(f"[DEBUG] Expected API Key Hex: {[hex(ord(c)) for c in API_KEY]}")
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# 验证API密钥
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if not api_key or api_key != API_KEY:
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return jsonify({
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'success': False,
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'error': 'Unauthorized: Invalid API Key'
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}), 401
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return func(*args, **kwargs)
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# 保留原函数的元数据
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wrapper.__name__ = func.__name__
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wrapper.__doc__ = func.__doc__
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return wrapper
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@app.route('/')
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def home():
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"""首页路由，显示应用主界面"""
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return render_template('index.html', app_name='AI帮你面试')
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@app.route('/start_interview')
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def start_interview():
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"""开始面试路由，显示面试流程"""
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return render_template('interview.html', process=interview_process)
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@app.route('/analyze_answer', methods=['POST'])
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@require_api_key # 添加API密钥验证
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def analyze_answer():
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"""AI分析回答的路由"""
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data = request.get_json()
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answer = data.get('answer', '')
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question_id = data.get('question_id', 1)
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# 模拟AI分析过程
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analysis = {
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'question_id': question_id,
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'content_analysis': {
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'completeness': 85,
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'relevance': 90,
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'depth': 75
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},
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'sentiment_analysis': {
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'confidence': 92,
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'sentiment': 'positive'
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},
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'suggestions': [
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'可以提供更多具体的项目成果数据',
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'注意控制回答时间，保持简洁明了',
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'可以结合实例说明技术能力'
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],
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'overall_score': 85
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}
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return jsonify(analysis)
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@app.route('/get_results')
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@require_api_key # 添加API密钥验证
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def get_results():
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"""获取面试结果的路由"""
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results = {
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'overall_score': 88,
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'category_scores': {
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'professional_knowledge': 90,
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'communication_skills': 85,
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'problem_solving': 87,
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'experience_relevance': 92
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},
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'strengths': [
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'技术知识扎实',
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'项目经验丰富',
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'表达清晰流畅'
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],
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'improvement_areas': [
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'可以更详细地描述团队协作经历',
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'需要加强行业趋势了解',
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'回答可以更加结构化'
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],
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'final_recommendation': '推荐进入下一轮面试'
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}
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return jsonify(results)
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if __name__ == '__main__':
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"""应用程序入口点"""
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app.run(debug=True, host='0.0.0.0', port=5000) |