104 lines
3.6 KiB
Python
104 lines
3.6 KiB
Python
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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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