"""
性能测试 - Locust文件

测试内容:
- 并发用户测试
- 接口响应时间
- 吞吐量测试
- 负载测试
- 压力测试
"""

from locust import HttpUser, task, between, events
from locust.runners import MasterRunner
import time
import random


# 测试数据
TEST_USERS = [
    {"username": "admin", "password": "Admin123"},
    {"username": "user1", "password": "Test123"},
    {"username": "user2", "password": "Test123"},
]

ASSET_NAMES = ["联想台式机", "戴尔笔记本", "惠普打印机", "苹果显示器", "罗技鼠标"]
DEVICE_TYPES = [1, 2, 3, 4, 5]
ORGANIZATIONS = [1, 2, 3, 4, 5]


class AssetManagementUser(HttpUser):
    """
    资产管理系统用户模拟

    模拟真实用户的行为模式
    """

    # 等待时间: 用户操作之间间隔1-3秒
    wait_time = between(1, 3)

    def on_start(self):
        """用户登录时执行"""
        self.login()
        self.token = None
        self.headers = {}

    def login(self):
        """登录获取token"""
        user = random.choice(TEST_USERS)

        # 先获取验证码
        captcha_resp = self.client.get("/api/v1/auth/captcha")
        if captcha_resp.status_code == 200:
            captcha_data = captcha_resp.json()
            captcha_key = captcha_data["data"]["captcha_key"]

            # 登录
            login_resp = self.client.post(
                "/api/v1/auth/login",
                json={
                    "username": user["username"],
                    "password": user["password"],
                    "captcha": "1234",  # 测试环境固定验证码
                    "captcha_key": captcha_key
                }
            )

            if login_resp.status_code == 200:
                self.token = login_resp.json()["data"]["access_token"]
                self.headers = {
                    "Authorization": f"Bearer {self.token}",
                    "Content-Type": "application/json"
                }

    @task(10)
    def view_asset_list(self):
        """查看资产列表 (高频操作)"""
        self.client.get(
            "/api/v1/assets",
            headers=self.headers,
            params={
                "page": random.randint(1, 5),
                "page_size": 20
            }
        )

    @task(5)
    def search_assets(self):
        """搜索资产 (中频操作)"""
        keywords = ["联想", "戴尔", "台式机", "笔记本", "打印机"]
        keyword = random.choice(keywords)

        self.client.get(
            "/api/v1/assets",
            headers=self.headers,
            params={"keyword": keyword}
        )

    @task(3)
    def view_asset_detail(self):
        """查看资产详情 (中频操作)"""
        asset_id = random.randint(1, 100)
        self.client.get(
            f"/api/v1/assets/{asset_id}",
            headers=self.headers
        )

    @task(2)
    def view_statistics(self):
        """查看统计数据 (低频操作)"""
        self.client.get(
            "/api/v1/statistics/overview",
            headers=self.headers
        )

    @task(1)
    def create_asset(self):
        """创建资产 (低频操作)"""
        asset_data = {
            "asset_name": f"{random.choice(ASSET_NAMES)}-{int(time.time())}",
            "device_type_id": random.choice(DEVICE_TYPES),
            "organization_id": random.choice(ORGANIZATIONS),
            "model": f"测试型号-{int(time.time())}",
            "serial_number": f"SN-{int(time.time())}",
            "location": f"测试位置-{random.randint(1, 10)}"
        }

        self.client.post(
            "/api/v1/assets",
            headers=self.headers,
            json=asset_data
        )

    @task(1)
    def filter_assets(self):
        """筛选资产 (低频操作)"""
        statuses = ["in_stock", "in_use", "maintenance", "scrapped"]
        status = random.choice(statuses)

        self.client.get(
            "/api/v1/assets",
            headers=self.headers,
            params={"status": status}
        )


class AssetManagementUserRead(AssetManagementUser):
    """
    只读用户
    只执行查询操作,不执行写操作
    """

    @task(10)
    def view_asset_list(self):
        """查看资产列表"""
        self.client.get(
            "/api/v1/assets",
            headers=self.headers,
            params={"page": random.randint(1, 10), "page_size": 20}
        )

    @task(5)
    def view_asset_detail(self):
        """查看资产详情"""
        asset_id = random.randint(1, 100)
        self.client.get(
            f"/api/v1/assets/{asset_id}",
            headers=self.headers
        )

    @task(3)
    def search_assets(self):
        """搜索资产"""
        keywords = ["联想", "戴尔", "惠普"]
        self.client.get(
            "/api/v1/assets",
            headers=self.headers,
            params={"keyword": random.choice(keywords)}
        )

    @task(2)
    def view_statistics(self):
        """查看统计数据"""
        self.client.get(
            "/api/v1/statistics/overview",
            headers=self.headers
        )


# 自定义事件处理器
@events.request.add_listener
def on_request(request_type, name, response_time, response_length, **kwargs):
    """
    请求事件监听器
    记录慢请求
    """
    if response_time > 1000:  # 响应时间超过1秒
        print(f"慢请求警告: {name} 耗时 {response_time}ms")


@events.test_stop.add_listener
def on_test_stop(environment, **kwargs):
    """
    测试结束事件
    输出测试统计
    """
    if not isinstance(environment.runner, MasterRunner):
        print("\n" + "="*50)
        print("性能测试完成")
        print("="*50)

        stats = environment.stats
        print(f"\n总请求数: {stats.total.num_requests}")
        print(f"失败请求数: {stats.total.num_failures}")
        print(f"平均响应时间: {stats.total.avg_response_time}ms")
        print(f"中位数响应时间: {stats.total.median_response_time}ms")
        print(f"95%请求响应时间: {stats.total.get_response_time_percentile(0.95)}ms")
        print(f"99%请求响应时间: {stats.total.get_response_time_percentile(0.99)}ms")
        print(f"请求/秒 (RPS): {stats.total.total_rps}")
        print(f"失败率: {stats.total.fail_ratio * 100:.2f}%")

        # 性能指标评估
        print("\n性能评估:")
        avg_response = stats.total.avg_response_time
        if avg_response < 200:
            print("✓ 响应时间: 优秀 (< 200ms)")
        elif avg_response < 500:
            print("✓ 响应时间: 良好 (< 500ms)")
        elif avg_response < 1000:
            print("⚠ 响应时间: 一般 (< 1000ms)")
        else:
            print("✗ 响应时间: 差 (> 1000ms)")

        rps = stats.total.total_rps
        if rps > 100:
            print("✓ 吞吐量: 优秀 (> 100 RPS)")
        elif rps > 50:
            print("✓ 吞吐量: 良好 (> 50 RPS)")
        elif rps > 20:
            print("⚠ 吞吐量: 一般 (> 20 RPS)")
        else:
            print("✗ 吞吐量: 差 (< 20 RPS)")

        fail_ratio = stats.total.fail_ratio * 100
        if fail_ratio < 1:
            print("✓ 失败率: 优秀 (< 1%)")
        elif fail_ratio < 5:
            print("✓ 失败率: 良好 (< 5%)")
        else:
            print("✗ 失败率: 差 (> 5%)")

        print("="*50 + "\n")


# 性能测试目标
PERFORMANCE_TARGETS = {
    "avg_response_time": 500,  # 平均响应时间 < 500ms
    "p95_response_time": 1000,  # 95%响应时间 < 1000ms
    "rps": 50,  # 吞吐量 > 50 RPS
    "fail_ratio": 0.01  # 失败率 < 1%
}


class PerformanceTestRunner:
    """
    性能测试运行器
    提供不同场景的性能测试
    """

    def __init__(self):
        self.scenarios = {
            "smoke": self.smoke_test,
            "normal": self.normal_load_test,
            "stress": self.stress_test,
            "spike": self.spike_test,
            "endurance": self.endurance_test
        }

    def smoke_test(self):
        """
        冒烟测试
        少量用户,验证系统基本功能
        """
        return {
            "num_users": 10,
            "spawn_rate": 2,
            "run_time": "1m"
        }

    def normal_load_test(self):
        """
        正常负载测试
        模拟日常使用情况
        """
        return {
            "num_users": 50,
            "spawn_rate": 5,
            "run_time": "5m"
        }

    def stress_test(self):
        """
        压力测试
        逐步增加用户直到系统达到极限
        """
        return {
            "num_users": 200,
            "spawn_rate": 10,
            "run_time": "10m"
        }

    def spike_test(self):
        """
        尖峰测试
        突然大量用户访问
        """
        return {
            "num_users": 500,
            "spawn_rate": 50,
            "run_time": "2m"
        }

    def endurance_test(self):
        """
        耐力测试
        长时间稳定负载
        """
        return {
            "num_users": 100,
            "spawn_rate": 10,
            "run_time": "30m"
        }


# 使用说明
"""
运行性能测试:

1. 冒烟测试 (10用户, 1分钟):
   locust -f locustfile.py --headless -u 10 -r 2 -t 1m

2. 正常负载测试 (50用户, 5分钟):
   locust -f locustfile.py --headless -u 50 -r 5 -t 5m

3. 压力测试 (200用户, 10分钟):
   locust -f locustfile.py --headless -u 200 -r 10 -t 10m

4. 尖峰测试 (500用户, 2分钟):
   locust -f locustfile.py --headless -u 500 -r 50 -t 2m

5. Web界面模式:
   locust -f locustfile.py --host=http://localhost:8000
   然后访问 http://localhost:8089

6. 分布式测试 (Master):
   locust -f locustfile.py --master --expect-workers=4

7. 分布式测试 (Worker):
   locust -f locustfile.py --worker --master-host=<master-ip>
"""