feat(admin): 添加用户管理相关文件
添加用户管理视图、API和状态管理文件
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张翔
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"""
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Caffeine缓存管理模块测试 - TDD Red阶段
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测试基于Caffeine的本地缓存管理功能。
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"""
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import pytest
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import allure
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import time
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from typing import Any, Optional
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@allure.epic("核心框架")
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@allure.feature("Caffeine缓存管理 - TDD Red阶段")
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class TestCaffeineCache:
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"""Caffeine缓存管理测试类 - TDD Red阶段（期望失败）"""
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@allure.title("测试缓存基本操作 - TDD Red阶段")
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@allure.description("验证缓存的基本CRUD操作 - 期望失败(Red)")
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@allure.severity(allure.severity_level.CRITICAL)
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@pytest.mark.smoke
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def test_cache_basic_operations(self) -> None:
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"""
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TDD Red阶段: 测试缓存基本操作
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预期结果:
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- 可以put数据到缓存
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- 可以从缓存get数据
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- 可以delete缓存数据
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- 可以检查key是否存在
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"""
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from core.caffeine_cache import CaffeineCache
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with allure.step("Step 1: 创建缓存实例"):
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cache = CaffeineCache()
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allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 测试put操作"):
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cache.put("key1", "value1")
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allure.attach("✅ put操作成功", "步骤2", allure.attachment_type.TEXT)
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with allure.step("Step 3: 测试get操作"):
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value = cache.get("key1")
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allure.attach(f"获取值: {value}", "步骤3", allure.attachment_type.TEXT)
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assert value == "value1", f"缓存值不匹配，期望: value1, 实际: {value}"
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with allure.step("Step 4: 测试exists操作"):
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exists = cache.exists("key1")
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allure.attach(f"key1存在: {exists}", "步骤4", allure.attachment_type.TEXT)
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assert exists is True, "key1应该存在"
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with allure.step("Step 5: 测试delete操作"):
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cache.delete("key1")
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value = cache.get("key1")
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allure.attach(f"删除后获取值: {value}", "步骤5", allure.attachment_type.TEXT)
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assert value is None, "删除后应该返回None"
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@allure.title("测试缓存过期时间 - TDD Red阶段")
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@allure.description("验证缓存数据在指定时间后过期 - 期望失败(Red)")
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@allure.severity(allure.severity_level.CRITICAL)
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@pytest.mark.smoke
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def test_cache_expiration(self) -> None:
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"""
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TDD Red阶段: 测试缓存过期时间
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预期结果:
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- 设置过期时间的缓存数据在过期后自动失效
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- 未过期的数据仍然有效
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"""
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from core.caffeine_cache import CaffeineCache
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with allure.step("Step 1: 创建缓存实例"):
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cache = CaffeineCache()
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allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 设置带过期时间的缓存"):
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cache.put("temp_key", "temp_value", expire_seconds=1)
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allure.attach("✅ 设置1秒过期时间的缓存", "步骤2", allure.attachment_type.TEXT)
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with allure.step("Step 3: 验证缓存立即生效"):
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value = cache.get("temp_key")
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assert value == "temp_value", f"缓存值不匹配，期望: temp_value, 实际: {value}"
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allure.attach("✅ 缓存立即生效", "步骤3", allure.attachment_type.TEXT)
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with allure.step("Step 4: 等待缓存过期"):
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time.sleep(1.5) # 等待1.5秒，确保过期
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allure.attach("⏱️ 等待1.5秒", "步骤4", allure.attachment_type.TEXT)
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with allure.step("Step 5: 验证缓存已过期"):
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value = cache.get("temp_key")
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allure.attach(f"过期后获取值: {value}", "步骤5", allure.attachment_type.TEXT)
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assert value is None, "过期后应该返回None"
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@allure.title("测试缓存容量限制 - TDD Red阶段")
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@allure.description("验证缓存在达到容量限制时的行为 - 期望失败(Red)")
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@allure.severity(allure.severity_level.CRITICAL)
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@pytest.mark.smoke
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def test_cache_capacity_limit(self) -> None:
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"""
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TDD Red阶段: 测试缓存容量限制
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预期结果:
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- 当缓存达到容量限制时，最久未使用的数据被移除
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- 最近使用的数据仍然保留
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"""
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from core.caffeine_cache import CaffeineCache
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with allure.step("Step 1: 创建容量为3的缓存"):
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cache = CaffeineCache(max_size=3)
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allure.attach("✅ 创建容量为3的缓存", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 添加3个缓存项"):
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cache.put("key1", "value1")
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cache.put("key2", "value2")
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cache.put("key3", "value3")
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allure.attach("✅ 添加3个缓存项", "步骤2", allure.attachment_type.TEXT)
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with allure.step("Step 3: 访问key1使其最近使用"):
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value = cache.get("key1")
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assert value == "value1"
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allure.attach("✅ 访问key1", "步骤3", allure.attachment_type.TEXT)
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with allure.step("Step 4: 添加第4个缓存项"):
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cache.put("key4", "value4")
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allure.attach("✅ 添加第4个缓存项key4", "步骤4", allure.attachment_type.TEXT)
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with allure.step("Step 5: 验证key2被移除（最久未使用）"):
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value2 = cache.get("key2")
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value1 = cache.get("key1")
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allure.attach(f"key2值: {value2}", "步骤5", allure.attachment_type.TEXT)
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allure.attach(f"key1值: {value1}", "步骤5", allure.attachment_type.TEXT)
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assert value2 is None, "key2应该被移除"
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assert value1 == "value1", "key1应该仍然存在"
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@allure.title("测试缓存统计信息 - TDD Red阶段")
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@allure.description("验证缓存统计信息正确收集 - 期望失败(Red)")
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@allure.severity(allure.severity_level.NORMAL)
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@pytest.mark.regression
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def test_cache_statistics(self) -> None:
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"""
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TDD Red阶段: 测试缓存统计信息
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预期结果:
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- 缓存命中率统计正确
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- 缓存大小统计正确
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- 加载次数统计正确
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"""
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from core.caffeine_cache import CaffeineCache
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with allure.step("Step 1: 创建启用统计的缓存"):
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cache = CaffeineCache(record_stats=True)
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allure.attach("✅ 创建启用统计的缓存", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 执行缓存操作"):
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cache.put("key1", "value1")
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cache.get("key1") # 命中
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cache.get("key1") # 命中
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cache.get("key2") # 未命中
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allure.attach("✅ 执行缓存操作", "步骤2", allure.attachment_type.TEXT)
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with allure.step("Step 3: 获取统计信息"):
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stats = cache.get_stats()
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allure.attach(f"统计信息: {stats}", "步骤3", allure.attachment_type.TEXT)
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with allure.step("Step 4: 验证统计信息"):
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assert "hit_count" in stats, "统计信息应包含hit_count"
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assert "miss_count" in stats, "统计信息应包含miss_count"
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assert "hit_rate" in stats, "统计信息应包含hit_rate"
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assert stats["hit_count"] == 2, "命中次数应为2"
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assert stats["miss_count"] == 1, "未命中次数应为1"
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@allure.title("测试缓存刷新机制 - TDD Red阶段")
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@allure.description("验证缓存自动刷新机制 - 期望失败(Red)")
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@allure.severity(allure.severity_level.NORMAL)
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@pytest.mark.regression
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def test_cache_refresh(self) -> None:
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"""
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TDD Red阶段: 测试缓存刷新机制
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预期结果:
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- 缓存支持手动刷新
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- 刷新后数据更新
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"""
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from core.caffeine_cache import CaffeineCache
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with allure.step("Step 1: 创建缓存实例"):
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cache = CaffeineCache()
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allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 添加初始数据"):
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cache.put("refresh_key", "initial_value")
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allure.attach("✅ 添加初始数据", "步骤2", allure.attachment_type.TEXT)
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with allure.step("Step 3: 更新数据"):
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cache.put("refresh_key", "updated_value")
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allure.attach("✅ 更新数据", "步骤3", allure.attachment_type.TEXT)
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with allure.step("Step 4: 验证数据已更新"):
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value = cache.get("refresh_key")
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allure.attach(f"更新后的值: {value}", "步骤4", allure.attachment_type.TEXT)
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assert value == "updated_value", f"缓存值未更新，期望: updated_value, 实际: {value}"
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@allure.title("测试缓存批量操作 - TDD Red阶段")
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@allure.description("验证缓存批量操作功能 - 期望失败(Red)")
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@allure.severity(allure.severity_level.NORMAL)
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@pytest.mark.regression
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def test_cache_batch_operations(self) -> None:
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"""
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TDD Red阶段: 测试缓存批量操作
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预期结果:
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- 支持批量put
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- 支持批量get
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- 支持批量delete
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"""
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from core.caffeine_cache import CaffeineCache
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with allure.step("Step 1: 创建缓存实例"):
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cache = CaffeineCache()
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allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 批量添加数据"):
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data = {
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"batch_key1": "batch_value1",
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"batch_key2": "batch_value2",
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"batch_key3": "batch_value3",
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}
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cache.put_all(data)
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allure.attach(f"批量添加: {data}", "步骤2", allure.attachment_type.TEXT)
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with allure.step("Step 3: 批量获取数据"):
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keys = ["batch_key1", "batch_key2", "batch_key3"]
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values = cache.get_all(keys)
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allure.attach(f"批量获取: {values}", "步骤3", allure.attachment_type.TEXT)
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assert len(values) == 3, f"批量获取结果数量错误，期望: 3, 实际: {len(values)}"
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with allure.step("Step 4: 批量删除数据"):
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cache.delete_all(keys)
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allure.attach("✅ 批量删除完成", "步骤4", allure.attachment_type.TEXT)
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with allure.step("Step 5: 验证数据已删除"):
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values = cache.get_all(keys)
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allure.attach(f"删除后批量获取: {values}", "步骤5", allure.attachment_type.TEXT)
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assert all(v is None for v in values.values()), "所有值应该为None"
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@allure.title("测试缓存清空 - TDD Red阶段")
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@allure.description("验证缓存清空功能 - 期望失败(Red)")
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@allure.severity(allure.severity_level.NORMAL)
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@pytest.mark.regression
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def test_cache_clear(self) -> None:
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"""
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TDD Red阶段: 测试缓存清空
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预期结果:
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- 清空后所有数据被移除
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- 缓存大小归零
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"""
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from core.caffeine_cache import CaffeineCache
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with allure.step("Step 1: 创建缓存实例并添加数据"):
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cache = CaffeineCache()
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cache.put("key1", "value1")
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cache.put("key2", "value2")
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cache.put("key3", "value3")
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allure.attach("✅ 添加3个缓存项", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 清空缓存"):
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cache.clear()
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allure.attach("✅ 缓存已清空", "步骤2", allure.attachment_type.TEXT)
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with allure.step("Step 3: 验证缓存为空"):
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value1 = cache.get("key1")
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value2 = cache.get("key2")
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value3 = cache.get("key3")
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allure.attach(f"key1: {value1}, key2: {value2}, key3: {value3}", "步骤3", allure.attachment_type.TEXT)
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assert value1 is None, "key1应该为None"
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assert value2 is None, "key2应该为None"
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assert value3 is None, "key3应该为None"
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@allure.title("测试缓存线程安全 - TDD Red阶段")
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@allure.description("验证缓存在多线程环境下的安全性 - 期望失败(Red)")
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@allure.severity(allure.severity_level.CRITICAL)
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@pytest.mark.smoke
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def test_cache_thread_safety(self) -> None:
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"""
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TDD Red阶段: 测试缓存线程安全
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预期结果:
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- 多线程并发操作不会导致数据不一致
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- 不会出现竞态条件
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"""
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from core.caffeine_cache import CaffeineCache
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import threading
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with allure.step("Step 1: 创建缓存实例"):
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cache = CaffeineCache()
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allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)
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with allure.step("Step 2: 多线程并发写入"):
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errors = []
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def write_data(thread_id: int):
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try:
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for i in range(10):
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cache.put(f"thread_{thread_id}_key_{i}", f"value_{i}")
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except Exception as e:
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errors.append(str(e))
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threads = []
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for i in range(5):
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t = threading.Thread(target=write_data, args=(i,))
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threads.append(t)
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t.start()
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for t in threads:
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t.join()
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allure.attach(f"线程数: 5, 每线程写入: 10条", "步骤2", allure.attachment_type.TEXT)
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assert len(errors) == 0, f"并发写入出现错误: {errors}"
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with allure.step("Step 3: 验证数据完整性"):
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total_keys = 5 * 10 # 5个线程，每线程10条
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count = 0
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for thread_id in range(5):
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for i in range(10):
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value = cache.get(f"thread_{thread_id}_key_{i}")
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if value is not None:
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count += 1
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allure.attach(f"成功写入: {count}/{total_keys} 条", "步骤3", allure.attachment_type.TEXT)
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assert count == total_keys, f"数据不完整，期望: {total_keys}, 实际: {count}"
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