更新README.md并添加测试文件
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####
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|姓名|学号|主要贡献 (具体分工)|
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|----|----|------------------|
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|陆程杰|2411020124|(组长) 核心逻辑开发、Prompt 编写|
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|陆程杰|2411020124|核心逻辑开发、Prompt 编写|
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|蒲俊霖|2411020125| 文档撰写、测试与 Bug 修复|
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|陈一佳|2411020121| 前端界面设计、PPT 制作|
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#### AI面试官项目开发心得
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60
test_api.py
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test_api.py
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import logging
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from services.deepseek_service import deepseek_service
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# 设置日志
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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def test_feedback_generation():
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logger.info("开始测试反馈生成功能")
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# 准备测试数据
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conversation_history = [
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{"role": "assistant", "content": "你好！我是面试官，现在开始针对前端开发岗位的面试。请做一下自我介绍。"},
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{"role": "user", "content": "你好，我叫张三，有3年前端开发经验，熟悉React、Vue等框架。"},
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{"role": "assistant", "content": "请介绍一下你最印象深刻的项目。"},
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{"role": "user", "content": "我在之前的公司负责开发了一个电商网站，使用React框架，优化了页面加载速度，提升了用户体验。"}
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]
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system_prompt = """作为一位专业的面试评估专家，请对整场面试进行全面评估。
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请提供：
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1. 整体表现评分（0-100分）和评级（优秀/良好/一般/需改进）
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2. 各轮回答的详细分析（针对每个问题和回答给出具体评价）
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3. strengths（优势）- 列出至少3点
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4. areas_for_improvement（需要改进的方面）- 列出至少3点
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5. 具体的准备建议（针对改进点给出可操作的建议）
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请用中文回复，格式清晰、结构化，避免过于笼统的描述。"""
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user_prompt = f"请分析以下针对前端开发岗位的面试对话并给出综合反馈：\n\n" + "\n\n".join([
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f"{'面试官' if msg['role'] == 'assistant' else '候选人'}：{msg['content']}"
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for msg in conversation_history
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])
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messages = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": user_prompt}
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]
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try:
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logger.info("准备调用DeepSeek API")
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response = deepseek_service._call_api(messages)
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logger.info("API调用成功")
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logger.debug(f"API响应：{response}")
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feedback = response["choices"][0]["message"]["content"]
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logger.info("生成的反馈内容：")
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logger.info(feedback)
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return True
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except Exception as e:
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logger.error(f"API调用失败：{str(e)}", exc_info=True)
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return False
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if __name__ == "__main__":
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success = test_feedback_generation()
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if success:
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logger.info("测试成功")
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else:
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logger.info("测试失败")
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68
test_feedback_feature.py
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test_feedback_feature.py
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import requests
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import json
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# 测试服务器地址
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BASE_URL = "http://127.0.0.1:5000"
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def test_feedback_feature():
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print("=== 测试请求反馈功能 ===")
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# 1. 开始面试
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print("\n1. 开始面试...")
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start_data = {
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"job_position": "前端开发工程师",
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"difficulty": "intermediate"
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}
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start_response = requests.post(f"{BASE_URL}/api/interview/start", json=start_data)
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if start_response.status_code != 200:
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print(f"开始面试失败：{start_response.json().get('error')}")
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return False
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start_result = start_response.json()
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interview_id = start_result.get("interview_id")
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first_question = start_result.get("question")
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print(f"面试ID: {interview_id}")
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print(f"第一个问题: {first_question}")
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# 2. 回答问题并请求反馈
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print("\n2. 回答问题并请求反馈...")
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answer_data = {
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"interview_id": interview_id,
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"answer": "我有3年的前端开发经验，主要使用React框架，熟悉JavaScript、HTML、CSS等技术。",
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"request_feedback": True
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}
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print(f"发送的请求数据：{json.dumps(answer_data)}")
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answer_response = requests.post(f"{BASE_URL}/api/interview/answer", json=answer_data)
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if answer_response.status_code != 200:
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print(f"提交回答失败：{answer_response.json().get('error')}")
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return False
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answer_result = answer_response.json()
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print(f"反馈请求成功")
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print(f"是否结束: {answer_result.get('ended')}")
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if answer_result.get('feedback'):
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print(f"\n3. 收到反馈：")
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print(answer_result['feedback'])
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# 验证反馈是否包含改进建议
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if '改进建议' in answer_result['feedback'] or '建议' in answer_result['feedback']:
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print("\n✅ 反馈中包含改进建议")
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else:
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print("\n❌ 反馈中未包含明确的改进建议")
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return True
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else:
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print(f"\n❌ 未收到反馈")
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return False
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if __name__ == "__main__":
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success = test_feedback_feature()
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if success:
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print("\n=== 测试通过！请求反馈功能正常工作 ===")
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else:
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print("\n=== 测试失败！请求反馈功能存在问题 ===")
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103
test_interview_flow.py
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test_interview_flow.py
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#!/usr/bin/env python3
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import requests
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import json
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import time
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base_url = "http://127.0.0.1:5000"
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def test_interview_flow():
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print("=== 测试面试完整流程 ===")
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# 1. 开始面试
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print("\n1. 开始面试...")
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start_response = requests.post(
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f"{base_url}/api/interview/start",
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headers={"Content-Type": "application/json"},
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json={"job_position": "前端开发工程师", "difficulty": "medium"}
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)
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if start_response.status_code != 200:
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print(f"开始面试失败: {start_response.status_code}")
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print(start_response.text)
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return False
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start_data = start_response.json()
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interview_id = start_data.get("interview_id")
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print(f"面试ID: {interview_id}")
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print(f"第一个问题: {start_data.get('question')}")
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# 2. 回答第一个问题
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print("\n2. 回答第一个问题...")
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answer1 = "我有3年前端开发经验，熟悉React和Vue框架。"
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answer1_response = requests.post(
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f"{base_url}/api/interview/answer",
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headers={"Content-Type": "application/json"},
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json={"interview_id": interview_id, "answer": answer1, "request_feedback": False}
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)
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if answer1_response.status_code != 200:
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print(f"回答问题失败: {answer1_response.status_code}")
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print(answer1_response.text)
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return False
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answer1_data = answer1_response.json()
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print(f"第二个问题: {answer1_data.get('question')}")
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# 3. 回答第二个问题
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print("\n3. 回答第二个问题...")
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answer2 = "我在项目中使用过React Hooks，特别是useState、useEffect和useContext，能够有效管理组件状态和副作用。"
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answer2_response = requests.post(
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f"{base_url}/api/interview/answer",
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headers={"Content-Type": "application/json"},
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json={"interview_id": interview_id, "answer": answer2, "request_feedback": False}
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)
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if answer2_response.status_code != 200:
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print(f"回答问题失败: {answer2_response.status_code}")
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print(answer2_response.text)
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return False
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answer2_data = answer2_response.json()
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if answer2_data.get('ended'):
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print("面试结束")
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else:
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print(f"第三个问题: {answer2_data.get('question')}")
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# 4. 生成面试反馈
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print("\n4. 生成面试反馈...")
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# 构造对话历史
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conversation_history = [
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{"role": "assistant", "content": start_data.get('question')},
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{"role": "user", "content": answer1},
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{"role": "assistant", "content": answer1_data.get('question')},
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{"role": "user", "content": answer2}
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]
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if not answer2_data.get('ended') and answer2_data.get('question'):
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conversation_history.append({"role": "assistant", "content": answer2_data.get('question')})
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feedback_response = requests.post(
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f"{base_url}/api/interview/feedback",
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headers={"Content-Type": "application/json"},
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json={"interview_id": interview_id, "conversation_history": conversation_history}
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)
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if feedback_response.status_code != 200:
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print(f"生成反馈失败: {feedback_response.status_code}")
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print(feedback_response.text)
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return False
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feedback_data = feedback_response.json()
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print("\n=== 面试反馈 ===")
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print(feedback_data.get('feedback', ''))
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return True
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if __name__ == "__main__":
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success = test_interview_flow()
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if success:
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print("\n=== 测试成功！完整的面试流程正常工作 ===")
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else:
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print("\n=== 测试失败！请检查相关代码 ===")
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