feat: 初始化考培练系统项目
- 从服务器拉取完整代码 - 按框架规范整理项目结构 - 配置 Drone CI 测试环境部署 - 包含后端(FastAPI)、前端(Vue3)、管理端 技术栈: Vue3 + TypeScript + FastAPI + MySQL
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tests/test_exam_api.py
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199
tests/test_exam_api.py
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#!/usr/bin/env python3
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"""
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测试考试API接口
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"""
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import requests
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import json
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import time
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# API配置
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BASE_URL = "http://localhost:8000/api/v1"
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# 使用有效的token（需要先登录获取）
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TOKEN = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOjEsImV4cCI6MTc0MTQxOTQ5Mn0.0ZoiGJaIpV0WvVdH-M2tq03RMfRd9OKUJvDIgJtJoXk"
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headers = {
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"Authorization": f"Bearer {TOKEN}",
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"Content-Type": "application/json"
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}
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def test_generate_exam():
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"""测试生成考试试题"""
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print("\n" + "="*50)
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print("测试1: 生成考试试题")
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print("="*50)
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url = f"{BASE_URL}/exams/generate"
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data = {
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"course_id": 1,
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"single_choice_count": 2,
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"multiple_choice_count": 1,
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"true_false_count": 1,
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"fill_blank_count": 1,
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"essay_count": 0,
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"difficulty_level": 3,
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"mistake_records": "[]"
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}
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print(f"请求URL: {url}")
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print(f"请求数据: {json.dumps(data, indent=2, ensure_ascii=False)}")
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print("\n正在调用Dify工作流生成试题，请稍候...")
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try:
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response = requests.post(url, json=data, headers=headers, timeout=300)
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print(f"\n响应状态码: {response.status_code}")
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if response.status_code == 200:
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result = response.json()
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print(f"响应数据: {json.dumps(result, indent=2, ensure_ascii=False)[:500]}...")
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# 解析result字段中的试题
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if "data" in result and "result" in result["data"]:
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questions_str = result["data"]["result"]
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questions = json.loads(questions_str)
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print(f"\n✅ 成功生成 {len(questions)} 道试题")
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print(f"第一题预览: {json.dumps(questions[0], indent=2, ensure_ascii=False)[:300]}...")
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return questions
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else:
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print("❌ 响应格式不正确")
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else:
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print(f"❌ 请求失败: {response.text}")
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except requests.exceptions.Timeout:
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print("❌ 请求超时（可能Dify工作流执行时间较长）")
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except Exception as e:
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print(f"❌ 请求异常: {str(e)}")
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return None
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def test_judge_answer():
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"""测试判断主观题答案"""
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print("\n" + "="*50)
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print("测试2: 判断主观题答案")
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print("="*50)
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url = f"{BASE_URL}/exams/judge-answer"
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data = {
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"question": "肉毒素注射后____小时内不能平躺",
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"correct_answer": "4",
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"user_answer": "4"
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}
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print(f"请求URL: {url}")
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print(f"请求数据: {json.dumps(data, indent=2, ensure_ascii=False)}")
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print("\n正在调用Dify答案判断工作流...")
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try:
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response = requests.post(url, json=data, headers=headers, timeout=60)
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print(f"\n响应状态码: {response.status_code}")
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if response.status_code == 200:
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result = response.json()
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print(f"响应数据: {json.dumps(result, indent=2, ensure_ascii=False)}")
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if "data" in result:
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is_correct = result["data"].get("is_correct")
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print(f"\n✅ 判断结果: {'正确' if is_correct else '错误'}")
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return result
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else:
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print(f"❌ 请求失败: {response.text}")
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except Exception as e:
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print(f"❌ 请求异常: {str(e)}")
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return None
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def test_record_mistake():
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"""测试记录错题"""
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print("\n" + "="*50)
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print("测试3: 记录错题")
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print("="*50)
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url = f"{BASE_URL}/exams/record-mistake"
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data = {
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"exam_id": 1,
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"question_id": None,
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"knowledge_point_id": 199,
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"question_content": "以下哪一项最能准确描述艾维岚（Avilan）在医美注射材料中的独特作用机制？",
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"correct_answer": "B：它是唯一可以做减法的注射材料，实现收紧而不增容。",
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"user_answer": "A：它是一款主要用于增容塑形的支撑型材料。"
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}
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print(f"请求URL: {url}")
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print(f"请求数据: {json.dumps(data, indent=2, ensure_ascii=False)}")
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try:
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response = requests.post(url, json=data, headers=headers, timeout=30)
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print(f"\n响应状态码: {response.status_code}")
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if response.status_code == 200:
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result = response.json()
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print(f"响应数据: {json.dumps(result, indent=2, ensure_ascii=False)}")
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if "data" in result:
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print(f"\n✅ 成功记录错题，ID: {result['data'].get('id')}")
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return result
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else:
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print(f"❌ 请求失败: {response.text}")
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except Exception as e:
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print(f"❌ 请求异常: {str(e)}")
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return None
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def test_get_mistakes():
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"""测试获取错题记录"""
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print("\n" + "="*50)
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print("测试4: 获取错题记录")
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print("="*50)
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exam_id = 1
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url = f"{BASE_URL}/exams/mistakes?exam_id={exam_id}"
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print(f"请求URL: {url}")
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try:
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response = requests.get(url, headers=headers, timeout=30)
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print(f"\n响应状态码: {response.status_code}")
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if response.status_code == 200:
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result = response.json()
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print(f"响应数据: {json.dumps(result, indent=2, ensure_ascii=False)[:500]}...")
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if "data" in result and "mistakes" in result["data"]:
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mistakes = result["data"]["mistakes"]
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print(f"\n✅ 成功获取 {len(mistakes)} 条错题记录")
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return result
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else:
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print(f"❌ 请求失败: {response.text}")
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except Exception as e:
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print(f"❌ 请求异常: {str(e)}")
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return None
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def main():
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"""主测试流程"""
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print("\n" + "="*60)
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print("开始测试考试API接口")
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print("="*60)
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# 测试1: 生成考试试题（调用Dify工作流）
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# 注意：这个测试可能需要较长时间，因为要调用Dify工作流
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# questions = test_generate_exam()
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# 测试2: 判断答案（调用Dify工作流）
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test_judge_answer()
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# 测试3: 记录错题
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test_record_mistake()
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# 测试4: 获取错题记录
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test_get_mistakes()
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print("\n" + "="*60)
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print("测试完成")
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print("="*60)
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print("\n注意: 试题生成测试已注释，因为需要较长时间调用Dify工作流")
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print("如需测试，请取消注释 test_generate_exam() 行")
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if __name__ == "__main__":
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main()
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