124 lines
5.6 KiB
Python
124 lines
5.6 KiB
Python
import requests
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import json
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import time
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# API基础URL
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EDUCATION_DATA_BASE_URL = "http://localhost:8100/EducationData"
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# 测试年份
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test_years = [2023, 2022, 2024]
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def test_population_data_by_year():
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"""测试获取指定年份人口数据接口"""
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print("\n===== 测试 /EducationData/populationByYear 接口 =====")
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# 测试不同年份的数据
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for year in test_years:
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url = f"{EDUCATION_DATA_BASE_URL}/populationByYear?year={year}"
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print(f"\n测试 {year} 年人口数据:")
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try:
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response = requests.get(url)
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response.raise_for_status() # 如果状态码不是200，抛出异常
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data = response.json()
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print(f"响应状态码: {response.status_code}")
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print(f"响应数据: {json.dumps(data, ensure_ascii=False, indent=2)}")
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# 验证返回数据的基本结构
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assert "code" in data, "返回数据缺少code字段"
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assert "message" in data, "返回数据缺少message字段"
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assert "data" in data, "返回数据缺少data字段"
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assert data["code"] == 200, f"状态码不匹配，期望: 200，实际: {data['code']}"
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# 验证数据内容
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if data["data"]:
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# 检查数据项的结构
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population_data = data["data"]
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assert "year" in population_data, "数据缺少year字段"
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assert "total_population" in population_data, "数据缺少total_population字段"
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assert "birth_population" in population_data, "数据缺少birth_population字段"
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assert "urban_population" in population_data, "数据缺少urban_population字段"
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assert "rural_population" in population_data, "数据缺少rural_population字段"
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assert "urbanization_rate" in population_data, "数据缺少urbanization_rate字段"
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# 检查数值类型
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assert isinstance(population_data["year"], int), "year应为整数类型"
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assert isinstance(population_data["total_population"], (int, float)), "total_population应为数值类型"
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assert isinstance(population_data["birth_population"], (int, float)), "birth_population应为数值类型"
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assert isinstance(population_data["urban_population"], (int, float)), "urban_population应为数值类型"
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assert isinstance(population_data["rural_population"], (int, float)), "rural_population应为数值类型"
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assert isinstance(population_data["urbanization_rate"], (int, float)), "urbanization_rate应为数值类型"
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# 检查年份是否匹配
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assert population_data["year"] == year, f"年份不匹配，期望: {year}，实际: {population_data['year']}"
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print(f"✅ {year} 年人口数据验证通过")
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else:
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print(f"⚠️ {year} 年未返回人口数据")
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except requests.exceptions.RequestException as e:
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print(f"❌ 请求失败: {e}")
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except AssertionError as e:
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print(f"❌ 数据验证失败: {e}")
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# 添加短暂延迟，避免请求过于频繁
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time.sleep(0.5)
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# 测试边界值
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print("\n===== 测试边界值 =====")
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# 测试最小值年份
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min_year = 2015
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url = f"{EDUCATION_DATA_BASE_URL}/populationByYear?year={min_year}"
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print(f"\n测试最小值年份 {min_year}:")
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try:
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response = requests.get(url)
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response.raise_for_status()
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data = response.json()
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print(f"响应状态码: {response.status_code}")
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if data["code"] == 200 or data["code"] == 404:
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print(f"✅ 最小值年份测试通过")
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else:
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print(f"❌ 状态码异常: {data['code']}")
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except requests.exceptions.RequestException as e:
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print(f"❌ 请求失败: {e}")
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# 测试最大值年份
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max_year = 2028
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url = f"{EDUCATION_DATA_BASE_URL}/populationByYear?year={max_year}"
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print(f"\n测试最大值年份 {max_year}:")
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try:
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response = requests.get(url)
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response.raise_for_status()
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data = response.json()
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print(f"响应状态码: {response.status_code}")
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if data["code"] == 200 or data["code"] == 404:
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print(f"✅ 最大值年份测试通过")
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else:
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print(f"❌ 状态码异常: {data['code']}")
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except requests.exceptions.RequestException as e:
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print(f"❌ 请求失败: {e}")
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# 测试超出范围的年份
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invalid_year = 2030
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url = f"{EDUCATION_DATA_BASE_URL}/populationByYear?year={invalid_year}"
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print(f"\n测试超出范围的年份 {invalid_year}:")
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try:
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response = requests.get(url)
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if response.status_code == 422: # FastAPI的验证错误状态码
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print(f"响应状态码: {response.status_code}")
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print(f"✅ 超出范围年份正确返回验证错误")
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else:
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data = response.json()
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print(f"响应状态码: {response.status_code}")
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print(f"响应数据: {json.dumps(data, ensure_ascii=False, indent=2)}")
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print(f"❌ 期望状态码422，实际: {response.status_code}")
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except requests.exceptions.RequestException as e:
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print(f"❌ 请求失败: {e}")
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if __name__ == "__main__":
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# 测试新添加的人口数据接口
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test_population_data_by_year() |