"""
Caffeine缓存管理模块测试 - TDD Red阶段

测试基于Caffeine的本地缓存管理功能。
"""

import pytest
import allure
import time
from typing import Any, Optional


@allure.epic("核心框架")
@allure.feature("Caffeine缓存管理 - TDD Red阶段")
class TestCaffeineCache:
    """Caffeine缓存管理测试类 - TDD Red阶段（期望失败）"""

    @allure.title("测试缓存基本操作 - TDD Red阶段")
    @allure.description("验证缓存的基本CRUD操作 - 期望失败(Red)")
    @allure.severity(allure.severity_level.CRITICAL)
    @pytest.mark.smoke
    def test_cache_basic_operations(self) -> None:
        """
        TDD Red阶段: 测试缓存基本操作
        
        预期结果:
            - 可以put数据到缓存
            - 可以从缓存get数据
            - 可以delete缓存数据
            - 可以检查key是否存在
        """
        from core.caffeine_cache import CaffeineCache
        
        with allure.step("Step 1: 创建缓存实例"):
            cache = CaffeineCache()
            allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)

        with allure.step("Step 2: 测试put操作"):
            cache.put("key1", "value1")
            allure.attach("✅ put操作成功", "步骤2", allure.attachment_type.TEXT)

        with allure.step("Step 3: 测试get操作"):
            value = cache.get("key1")
            allure.attach(f"获取值: {value}", "步骤3", allure.attachment_type.TEXT)
            assert value == "value1", f"缓存值不匹配，期望: value1, 实际: {value}"

        with allure.step("Step 4: 测试exists操作"):
            exists = cache.exists("key1")
            allure.attach(f"key1存在: {exists}", "步骤4", allure.attachment_type.TEXT)
            assert exists is True, "key1应该存在"

        with allure.step("Step 5: 测试delete操作"):
            cache.delete("key1")
            value = cache.get("key1")
            allure.attach(f"删除后获取值: {value}", "步骤5", allure.attachment_type.TEXT)
            assert value is None, "删除后应该返回None"

    @allure.title("测试缓存过期时间 - TDD Red阶段")
    @allure.description("验证缓存数据在指定时间后过期 - 期望失败(Red)")
    @allure.severity(allure.severity_level.CRITICAL)
    @pytest.mark.smoke
    def test_cache_expiration(self) -> None:
        """
        TDD Red阶段: 测试缓存过期时间
        
        预期结果:
            - 设置过期时间的缓存数据在过期后自动失效
            - 未过期的数据仍然有效
        """
        from core.caffeine_cache import CaffeineCache
        
        with allure.step("Step 1: 创建缓存实例"):
            cache = CaffeineCache()
            allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)

        with allure.step("Step 2: 设置带过期时间的缓存"):
            cache.put("temp_key", "temp_value", expire_seconds=1)
            allure.attach("✅ 设置1秒过期时间的缓存", "步骤2", allure.attachment_type.TEXT)

        with allure.step("Step 3: 验证缓存立即生效"):
            value = cache.get("temp_key")
            assert value == "temp_value", f"缓存值不匹配，期望: temp_value, 实际: {value}"
            allure.attach("✅ 缓存立即生效", "步骤3", allure.attachment_type.TEXT)

        with allure.step("Step 4: 等待缓存过期"):
            time.sleep(1.5)  # 等待1.5秒，确保过期
            allure.attach("⏱️ 等待1.5秒", "步骤4", allure.attachment_type.TEXT)

        with allure.step("Step 5: 验证缓存已过期"):
            value = cache.get("temp_key")
            allure.attach(f"过期后获取值: {value}", "步骤5", allure.attachment_type.TEXT)
            assert value is None, "过期后应该返回None"

    @allure.title("测试缓存容量限制 - TDD Red阶段")
    @allure.description("验证缓存在达到容量限制时的行为 - 期望失败(Red)")
    @allure.severity(allure.severity_level.CRITICAL)
    @pytest.mark.smoke
    def test_cache_capacity_limit(self) -> None:
        """
        TDD Red阶段: 测试缓存容量限制
        
        预期结果:
            - 当缓存达到容量限制时，最久未使用的数据被移除
            - 最近使用的数据仍然保留
        """
        from core.caffeine_cache import CaffeineCache
        
        with allure.step("Step 1: 创建容量为3的缓存"):
            cache = CaffeineCache(max_size=3)
            allure.attach("✅ 创建容量为3的缓存", "步骤1", allure.attachment_type.TEXT)

        with allure.step("Step 2: 添加3个缓存项"):
            cache.put("key1", "value1")
            cache.put("key2", "value2")
            cache.put("key3", "value3")
            allure.attach("✅ 添加3个缓存项", "步骤2", allure.attachment_type.TEXT)

        with allure.step("Step 3: 访问key1使其最近使用"):
            value = cache.get("key1")
            assert value == "value1"
            allure.attach("✅ 访问key1", "步骤3", allure.attachment_type.TEXT)

        with allure.step("Step 4: 添加第4个缓存项"):
            cache.put("key4", "value4")
            allure.attach("✅ 添加第4个缓存项key4", "步骤4", allure.attachment_type.TEXT)

        with allure.step("Step 5: 验证key2被移除（最久未使用）"):
            value2 = cache.get("key2")
            value1 = cache.get("key1")
            allure.attach(f"key2值: {value2}", "步骤5", allure.attachment_type.TEXT)
            allure.attach(f"key1值: {value1}", "步骤5", allure.attachment_type.TEXT)
            assert value2 is None, "key2应该被移除"
            assert value1 == "value1", "key1应该仍然存在"

    @allure.title("测试缓存统计信息 - TDD Red阶段")
    @allure.description("验证缓存统计信息正确收集 - 期望失败(Red)")
    @allure.severity(allure.severity_level.NORMAL)
    @pytest.mark.regression
    def test_cache_statistics(self) -> None:
        """
        TDD Red阶段: 测试缓存统计信息
        
        预期结果:
            - 缓存命中率统计正确
            - 缓存大小统计正确
            - 加载次数统计正确
        """
        from core.caffeine_cache import CaffeineCache
        
        with allure.step("Step 1: 创建启用统计的缓存"):
            cache = CaffeineCache(record_stats=True)
            allure.attach("✅ 创建启用统计的缓存", "步骤1", allure.attachment_type.TEXT)

        with allure.step("Step 2: 执行缓存操作"):
            cache.put("key1", "value1")
            cache.get("key1")  # 命中
            cache.get("key1")  # 命中
            cache.get("key2")  # 未命中
            allure.attach("✅ 执行缓存操作", "步骤2", allure.attachment_type.TEXT)

        with allure.step("Step 3: 获取统计信息"):
            stats = cache.get_stats()
            allure.attach(f"统计信息: {stats}", "步骤3", allure.attachment_type.TEXT)

        with allure.step("Step 4: 验证统计信息"):
            assert "hit_count" in stats, "统计信息应包含hit_count"
            assert "miss_count" in stats, "统计信息应包含miss_count"
            assert "hit_rate" in stats, "统计信息应包含hit_rate"
            assert stats["hit_count"] == 2, "命中次数应为2"
            assert stats["miss_count"] == 1, "未命中次数应为1"

    @allure.title("测试缓存刷新机制 - TDD Red阶段")
    @allure.description("验证缓存自动刷新机制 - 期望失败(Red)")
    @allure.severity(allure.severity_level.NORMAL)
    @pytest.mark.regression
    def test_cache_refresh(self) -> None:
        """
        TDD Red阶段: 测试缓存刷新机制
        
        预期结果:
            - 缓存支持手动刷新
            - 刷新后数据更新
        """
        from core.caffeine_cache import CaffeineCache
        
        with allure.step("Step 1: 创建缓存实例"):
            cache = CaffeineCache()
            allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)

        with allure.step("Step 2: 添加初始数据"):
            cache.put("refresh_key", "initial_value")
            allure.attach("✅ 添加初始数据", "步骤2", allure.attachment_type.TEXT)

        with allure.step("Step 3: 更新数据"):
            cache.put("refresh_key", "updated_value")
            allure.attach("✅ 更新数据", "步骤3", allure.attachment_type.TEXT)

        with allure.step("Step 4: 验证数据已更新"):
            value = cache.get("refresh_key")
            allure.attach(f"更新后的值: {value}", "步骤4", allure.attachment_type.TEXT)
            assert value == "updated_value", f"缓存值未更新，期望: updated_value, 实际: {value}"

    @allure.title("测试缓存批量操作 - TDD Red阶段")
    @allure.description("验证缓存批量操作功能 - 期望失败(Red)")
    @allure.severity(allure.severity_level.NORMAL)
    @pytest.mark.regression
    def test_cache_batch_operations(self) -> None:
        """
        TDD Red阶段: 测试缓存批量操作
        
        预期结果:
            - 支持批量put
            - 支持批量get
            - 支持批量delete
        """
        from core.caffeine_cache import CaffeineCache
        
        with allure.step("Step 1: 创建缓存实例"):
            cache = CaffeineCache()
            allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)

        with allure.step("Step 2: 批量添加数据"):
            data = {
                "batch_key1": "batch_value1",
                "batch_key2": "batch_value2",
                "batch_key3": "batch_value3",
            }
            cache.put_all(data)
            allure.attach(f"批量添加: {data}", "步骤2", allure.attachment_type.TEXT)

        with allure.step("Step 3: 批量获取数据"):
            keys = ["batch_key1", "batch_key2", "batch_key3"]
            values = cache.get_all(keys)
            allure.attach(f"批量获取: {values}", "步骤3", allure.attachment_type.TEXT)
            assert len(values) == 3, f"批量获取结果数量错误，期望: 3, 实际: {len(values)}"

        with allure.step("Step 4: 批量删除数据"):
            cache.delete_all(keys)
            allure.attach("✅ 批量删除完成", "步骤4", allure.attachment_type.TEXT)

        with allure.step("Step 5: 验证数据已删除"):
            values = cache.get_all(keys)
            allure.attach(f"删除后批量获取: {values}", "步骤5", allure.attachment_type.TEXT)
            assert all(v is None for v in values.values()), "所有值应该为None"

    @allure.title("测试缓存清空 - TDD Red阶段")
    @allure.description("验证缓存清空功能 - 期望失败(Red)")
    @allure.severity(allure.severity_level.NORMAL)
    @pytest.mark.regression
    def test_cache_clear(self) -> None:
        """
        TDD Red阶段: 测试缓存清空
        
        预期结果:
            - 清空后所有数据被移除
            - 缓存大小归零
        """
        from core.caffeine_cache import CaffeineCache
        
        with allure.step("Step 1: 创建缓存实例并添加数据"):
            cache = CaffeineCache()
            cache.put("key1", "value1")
            cache.put("key2", "value2")
            cache.put("key3", "value3")
            allure.attach("✅ 添加3个缓存项", "步骤1", allure.attachment_type.TEXT)

        with allure.step("Step 2: 清空缓存"):
            cache.clear()
            allure.attach("✅ 缓存已清空", "步骤2", allure.attachment_type.TEXT)

        with allure.step("Step 3: 验证缓存为空"):
            value1 = cache.get("key1")
            value2 = cache.get("key2")
            value3 = cache.get("key3")
            allure.attach(f"key1: {value1}, key2: {value2}, key3: {value3}", "步骤3", allure.attachment_type.TEXT)
            assert value1 is None, "key1应该为None"
            assert value2 is None, "key2应该为None"
            assert value3 is None, "key3应该为None"

    @allure.title("测试缓存线程安全 - TDD Red阶段")
    @allure.description("验证缓存在多线程环境下的安全性 - 期望失败(Red)")
    @allure.severity(allure.severity_level.CRITICAL)
    @pytest.mark.smoke
    def test_cache_thread_safety(self) -> None:
        """
        TDD Red阶段: 测试缓存线程安全
        
        预期结果:
            - 多线程并发操作不会导致数据不一致
            - 不会出现竞态条件
        """
        from core.caffeine_cache import CaffeineCache
        import threading
        
        with allure.step("Step 1: 创建缓存实例"):
            cache = CaffeineCache()
            allure.attach("✅ 缓存实例创建成功", "步骤1", allure.attachment_type.TEXT)

        with allure.step("Step 2: 多线程并发写入"):
            errors = []
            
            def write_data(thread_id: int):
                try:
                    for i in range(10):
                        cache.put(f"thread_{thread_id}_key_{i}", f"value_{i}")
                except Exception as e:
                    errors.append(str(e))
            
            threads = []
            for i in range(5):
                t = threading.Thread(target=write_data, args=(i,))
                threads.append(t)
                t.start()
            
            for t in threads:
                t.join()
            
            allure.attach(f"线程数: 5, 每线程写入: 10条", "步骤2", allure.attachment_type.TEXT)
            assert len(errors) == 0, f"并发写入出现错误: {errors}"

        with allure.step("Step 3: 验证数据完整性"):
            total_keys = 5 * 10  # 5个线程，每线程10条
            count = 0
            for thread_id in range(5):
                for i in range(10):
                    value = cache.get(f"thread_{thread_id}_key_{i}")
                    if value is not None:
                        count += 1
            
            allure.attach(f"成功写入: {count}/{total_keys} 条", "步骤3", allure.attachment_type.TEXT)
            assert count == total_keys, f"数据不完整，期望: {total_keys}, 实际: {count}"