YunNanProject/Test/test_education_interfaces.py

import requests
import json
import time

# API基础URL
BASE_URL = "http://localhost:8100/RuYuanZaiYuan"
EDUCATION_DATA_BASE_URL = "http://localhost:8100/EducationData"

# 支持的教育阶段
test_education_stages = [
    ("preschool", "学前"),
    ("primary", "小学"),
    ("junior", "初中"),
    ("senior", "高中")
]

# 测试年份
test_years = [2023, 2022, 2024]


def test_school_chart_interface():
    """测试获取教育阶段图表数据接口"""
    print("\n===== 测试 /school/chart 接口 =====")
    
    for stage_code, stage_name in test_education_stages:
        url = f"{BASE_URL}/school/chart?education_stage={stage_code}"
        print(f"\n测试 {stage_name}({stage_code}) 数据:")
        
        try:
            response = requests.get(url)
            response.raise_for_status()  # 如果状态码不是200，抛出异常
            
            data = response.json()
            print(f"响应状态码: {response.status_code}")
            print(f"响应数据: {json.dumps(data, ensure_ascii=False, indent=2)}")
            
            # 验证返回数据的基本结构
            assert "xAxis_data" in data, "返回数据缺少xAxis_data字段"
            assert "series_data_0" in data, "返回数据缺少series_data_0字段(城区数据)"
            assert "series_data_1" in data, "返回数据缺少series_data_1字段(镇区数据)"
            assert "series_data_2" in data, "返回数据缺少series_data_2字段(乡村数据)"
            assert "series_data_3" in data, "返回数据缺少series_data_3字段(总人数数据)"
            assert "series_data_4" in data, "返回数据缺少series_data_4字段(2022年基数数据)"
            assert "education_stage" in data, "返回数据缺少education_stage字段"
            assert data["education_stage"] == stage_name, f"教育阶段名称不匹配，期望: {stage_name}，实际: {data['education_stage']}"
            
            print(f"✅ {stage_name} 数据验证通过")
            
        except requests.exceptions.RequestException as e:
            print(f"❌ 请求失败: {e}")
        except AssertionError as e:
            print(f"❌ 数据验证失败: {e}")
        
        # 添加短暂延迟，避免请求过于频繁
        time.sleep(0.5)


# @router.get("/school/inschool/chart")
# async def get_in_school_chart_config(
#     education_stage: str = Query(default="preschool", pattern="^(preschool|primary|junior|senior)$",
#                               description="教育阶段: preschool(学前), primary(小学), junior(初中), senior(高中)")
# ):
#     return RuYuanZaiYuanModel.generate_in_school_education_config(education_stage)
#


def test_education_data_by_year():
    """测试获取指定年份教育数据接口"""
    print("\n===== 测试 /EducationData/byYear 接口 =====")
    
    # 测试不同年份的数据
    for year in test_years:
        url = f"{EDUCATION_DATA_BASE_URL}/byYear?year={year}"
        print(f"\n测试 {year} 年数据:")
        
        try:
            response = requests.get(url)
            response.raise_for_status()  # 如果状态码不是200，抛出异常
            
            data = response.json()
            print(f"响应状态码: {response.status_code}")
            print(f"响应数据: {json.dumps(data, ensure_ascii=False, indent=2)}")
            
            # 验证返回数据的基本结构
            assert "code" in data, "返回数据缺少code字段"
            assert "message" in data, "返回数据缺少message字段"
            assert "data" in data, "返回数据缺少data字段"
            assert data["code"] == 200, f"状态码不匹配，期望: 200，实际: {data['code']}"
            assert isinstance(data["data"], list), "data字段应为列表类型"
            
            # 验证数据内容
            if data["data"]:
                # 检查每个数据项的结构
                for item in data["data"]:
                    assert "education_stage" in item, "数据项缺少education_stage字段"
                    assert "school_count" in item, "数据项缺少school_count字段"
                    assert "teacher_count_10k" in item, "数据项缺少teacher_count_10k字段"
                    assert "enrollment_count_10k" in item, "数据项缺少enrollment_count_10k字段"
                    assert "admission_count_10k" in item, "数据项缺少admission_count_10k字段"
                    
                    # 检查数值类型
                    assert isinstance(item["school_count"], (int, float)), "school_count应为数值类型"
                    assert isinstance(item["teacher_count_10k"], (int, float)), "teacher_count_10k应为数值类型"
                    assert isinstance(item["enrollment_count_10k"], (int, float)), "enrollment_count_10k应为数值类型"
                    assert isinstance(item["admission_count_10k"], (int, float)), "admission_count_10k应为数值类型"
                
                print(f"✅ {year} 年数据验证通过，共包含 {len(data['data'])} 个教育阶段的数据")
            else:
                print(f"⚠️ {year} 年未返回数据")
                
        except requests.exceptions.RequestException as e:
            print(f"❌ 请求失败: {e}")
        except AssertionError as e:
            print(f"❌ 数据验证失败: {e}")
        
        # 添加短暂延迟，避免请求过于频繁
        time.sleep(0.5)

    # 测试边界值
    print("\n===== 测试边界值 =====")
    
    # 测试最小值年份
    min_year = 2015
    url = f"{EDUCATION_DATA_BASE_URL}/byYear?year={min_year}"
    print(f"\n测试最小值年份 {min_year}:")
    try:
        response = requests.get(url)
        response.raise_for_status()
        print(f"响应状态码: {response.status_code}")
        print(f"✅ 最小值年份测试通过")
    except requests.exceptions.RequestException as e:
        print(f"❌ 请求失败: {e}")
    
    # 测试最大值年份
    max_year = 2028
    url = f"{EDUCATION_DATA_BASE_URL}/byYear?year={max_year}"
    print(f"\n测试最大值年份 {max_year}:")
    try:
        response = requests.get(url)
        response.raise_for_status()
        print(f"响应状态码: {response.status_code}")
        print(f"✅ 最大值年份测试通过")
    except requests.exceptions.RequestException as e:
        print(f"❌ 请求失败: {e}")
    
    # 测试超出范围的年份
    invalid_year = 2030
    url = f"{EDUCATION_DATA_BASE_URL}/byYear?year={invalid_year}"
    print(f"\n测试超出范围的年份 {invalid_year}:")
    try:
        response = requests.get(url)
        if response.status_code == 422:  # FastAPI的验证错误状态码
            print(f"响应状态码: {response.status_code}")
            print(f"✅ 超出范围年份正确返回验证错误")
        else:
            print(f"❌ 期望状态码422，实际: {response.status_code}")
    except requests.exceptions.RequestException as e:
        print(f"❌ 请求失败: {e}")


if __name__ == "__main__":
    # 测试原有接口
    # test_school_chart_interface()
    
    # 测试新添加的教育数据接口
    test_education_data_by_year()