Add stress test tool with crash test mode
- stress_test.py: async HTTP stress tester with aiohttp - Features: concurrency control, realtime display, find-limit mode, crash-test mode - crash-test: finds critical, warning, and crash concurrency points - USAGE.md: detailed usage documentation - Sample reports and URL list examples
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# Website Stress Testing Tool - 使用说明
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基于 Python 异步框架的网站压力测试工具，用于评估网站在高并发下的承载能力。
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---
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## 目录
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1. [环境要求](#1-环境要求)
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2. [安装](#2-安装)
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3. [快速开始](#3-快速开始)
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4. [参数详解](#4-参数详解)
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5. [使用场景](#5-使用场景)
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6. [输出说明](#6-输出说明)
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7. [最佳实践](#7-最佳实践)
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8. [常见问题](#8-常见问题)
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---
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## 1. 环境要求
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- Python >= 3.8
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- 依赖：aiohttp >= 3.9.0
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---
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## 2. 安装
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```bash
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# 进入工具目录
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cd d:\work\work-KD\tools
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# 安装依赖
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pip install -r requirements.txt
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# 或直接安装
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pip install aiohttp
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```
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验证安装：
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```bash
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python stress_test.py --help
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```
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---
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## 3. 快速开始
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### 最简单的用法
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```bash
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# 对 example.com 发送 100 个请求，并发数 10
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python stress_test.py -u https://example.com -n 100
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# 持续压测 30 秒
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python stress_test.py -u https://example.com -d 30
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```
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### 提高并发
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```bash
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# 100 并发，1000 请求
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python stress_test.py -u https://example.com -c 100 -n 1000
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```
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### 查看帮助
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```bash
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python stress_test.py --help
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```
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---
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## 4. 参数详解
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### 4.1 目标参数（必选，二选一）
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| 参数 | 说明 | 示例 |
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|------|------|------|
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| `-u, --url` | 目标 URL，可多次指定 | `-u https://a.com -u https://b.com` |
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| `-f, --file` | URL 列表文件路径 | `-f urls.txt` |
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**URL 文件格式：**
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```
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# 这是注释行
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https://example.com
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https://example.com/api
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https://example.com/about
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```
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- 每行一个 URL
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- `#` 开头为注释
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- 空行自动忽略
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- 可省略 `https://` 前缀（自动补全）
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### 4.2 测试模式（必选，二选一）
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| 参数 | 说明 | 示例 |
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|------|------|------|
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| `-n, --num-requests` | 总请求数，达到后停止 | `-n 1000` |
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| `-d, --duration` | 持续时间（秒），到期后停止 | `-d 60` |
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### 4.3 并发控制
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| 参数 | 默认值 | 说明 |
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|------|--------|------|
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| `-c, --concurrency` | 10 | 并发 worker 数量 |
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| `-r, --ramp-up` | 0 | 渐进加压时间（秒），从 1 并发逐步增加到目标并发 |
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**渐进加压示例：**
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```bash
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# 100 并发，但用 30 秒逐步加压（避免瞬间打垮服务器）
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python stress_test.py -u https://example.com -c 100 -d 120 -r 30
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```
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### 4.4 HTTP 请求配置
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| 参数 | 默认值 | 说明 |
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|------|--------|------|
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| `-m, --method` | GET | HTTP 方法：GET / POST / PUT / DELETE / PATCH / HEAD |
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| `-H, --header` | 无 | 自定义请求头，格式：`-H "Key: Value"`，可多次使用 |
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| `--cookie` | 无 | Cookie，格式：`k1=v1;k2=v2` |
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| `--data` | 无 | 请求体（字符串） |
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| `--json` | 无 | 请求体（JSON 格式） |
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### 4.5 网络参数
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| 参数 | 默认值 | 说明 |
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|------|--------|------|
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| `-t, --timeout` | 30 | 单次请求超时时间（秒） |
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| `--no-verify-ssl` | false | 跳过 SSL 证书验证 |
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| `--no-keep-alive` | false | 禁用 HTTP Keep-Alive |
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### 4.6 输出控制
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| 参数 | 说明 |
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|------|------|
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| `--report FILE` | 将 JSON 格式报告保存到指定文件 |
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| `--no-display` | 禁用实时统计面板（适合日志采集或 CI 环境） |
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---
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## 5. 使用场景
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### 场景一：基础网站可用性测试
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```bash
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python stress_test.py -u https://your-site.com -c 50 -n 500
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```
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评估网站在 50 并发下的基本响应能力。
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### 场景二：API 接口压力测试
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```bash
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python stress_test.py \
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-u https://api.example.com/v1/users \
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-m GET \
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-H "Authorization: Bearer YOUR_TOKEN" \
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-H "Accept: application/json" \
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-c 100 \
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-n 2000
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```
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测试需要认证的 API 接口。
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### 场景三：POST 提交测试
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```bash
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python stress_test.py \
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-u https://api.example.com/login \
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-m POST \
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-H "Content-Type: application/json" \
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--data '{"username":"testuser","password":"testpass"}' \
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-c 50 \
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-n 500
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```
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### 场景四：表单提交测试
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```bash
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python stress_test.py \
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-u https://example.com/contact \
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-m POST \
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-H "Content-Type: application/x-www-form-urlencoded" \
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--data "name=test&email=test@example.com&message=hello" \
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-c 30 \
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-n 300
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```
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### 场景五：多页面轮询测试
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```bash
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# 从文件加载多个 URL，模拟真实用户访问不同页面
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python stress_test.py -f urls.txt -c 50 -d 120
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```
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`urls.txt` 内容：
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```
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https://example.com/
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https://example.com/products
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https://example.com/about
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https://example.com/contact
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https://example.com/api/search?q=test
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```
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### 场景六：渐进加压测试
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```bash
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# 用 60 秒从 0 加压到 200 并发，持续测试 5 分钟
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python stress_test.py -u https://example.com -c 200 -d 300 -r 60
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```
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逐步增加负载，观察系统在哪一级开始出现问题。
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### 场景七：带 Cookie 的登录态测试
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```bash
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python stress_test.py \
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-u https://example.com/dashboard \
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--cookie "session_id=abc123;user_id=42" \
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-c 50 \
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-d 60
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```
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### 场景八：跳过 SSL 验证（自签名证书）
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```bash
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python stress_test.py -u https://internal.dev.local -c 20 -n 100 --no-verify-ssl
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```
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### 场景九：CI/CD 自动化测试
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```bash
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# 静默模式 + JSON 报告，适合集成到自动化流程
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python stress_test.py \
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-u https://staging.example.com \
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-c 50 \
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-n 1000 \
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--no-display \
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--report stress_result.json
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```
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### 场景十：多站点对比测试
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```bash
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# 同时测试多个站点（轮询模式）
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python stress_test.py \
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-u https://server-a.example.com \
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-u https://server-b.example.com \
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-c 50 \
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-n 500
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```
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---
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## 6. 输出说明
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### 6.1 实时统计面板
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测试运行时，终端每 0.5 秒刷新一次：
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```
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============================================================
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| Stress Test Running
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------------------------------------------------------------
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进度: [###############...................] 50.0% (500/1000)
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QPS: 152.3 req/s
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并发数: 100
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总请求: 500
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耗时: 0:00:03
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平均延迟: 45.2 ms
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P50: 38.1 ms
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P90: 72.5 ms
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P99: 156.3 ms
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成功率: 99.80% (成功: 499 失败: 1)
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吞吐量: 1.2 MB/s
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============================================================
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```
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| 指标 | 说明 |
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|------|------|
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| QPS | 每秒完成的请求数 |
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| P50 | 50% 的请求在此延迟内完成（中位数） |
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| P90 | 90% 的请求在此延迟内完成 |
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| P99 | 99% 的请求在此延迟内完成 |
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| 成功率 | HTTP 2xx/3xx 响应占比 |
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### 6.2 最终报告
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测试完成后自动输出完整报告：
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```
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================================================================
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[*] 压力测试报告
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2026-05-28 15:40:13
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================================================================
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> 测试配置
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目标 URL: https://example.com
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HTTP 方法: GET
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并发数: 100
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总耗时: 6.52s
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> 请求统计
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总请求数: 1000
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成功: 998
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失败: 2
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成功率: 99.80%
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平均 QPS: 153.4 req/s
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> 延迟分布 (ms)
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P50 38.1 ms ##......................
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P75 55.2 ms ####..................
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P90 72.5 ms #####.................
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P95 102.8 ms ########..............
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P99 156.3 ms ############..........
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P99.9 312.1 ms ####################..
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最小: 12.3 ms
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最大: 312.1 ms
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平均: 45.2 ms
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标准差: 28.7 ms
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> 吞吐量
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总传输: 2.4 MB
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吞吐量: 378.5 KB/s
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> 状态码分布
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HTTP 200 998 ####################
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HTTP 502 2 #...................
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> 综合评价
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[Good] 良好 - 网站表现正常
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================================================================
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```
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### 6.3 JSON 报告（--report）
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```json
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{
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"timestamp": "2026-05-28T15:40:13.123456",
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"config": {
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"urls": ["https://example.com"],
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"method": "GET",
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"concurrency": 100,
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"total_requests": 1000,
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"duration": null
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},
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"results": {
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"total_requests": 1000,
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"success": 998,
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"errors": 2,
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"success_rate": 99.8,
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"elapsed_seconds": 6.52,
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"avg_qps": 153.4,
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"avg_latency_ms": 45.23,
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"p50_ms": 38.1,
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"p90_ms": 72.5,
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"p95_ms": 102.8,
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"p99_ms": 156.3,
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"total_bytes": 2516480,
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"throughput_bytes_sec": 386729.1,
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"status_codes": {
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"200": 998,
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"502": 2
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},
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"errors_detail": {
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"Timeout": 1,
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"ClientConnectorError": 1
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}
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}
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}
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```
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可用于：
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- 存档记录
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- 自动化流水线中的质量门禁
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- 与 Grafana/Prometheus 等监控系统集成
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- Python/JS 脚本二次分析
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### 6.4 综合评价标准
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| 等级 | 条件 | 含义 |
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|------|------|------|
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| Excellent | 成功率 >= 99.9% 且 P99 < 500ms | 优秀，可放心上线 |
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| Good | 成功率 >= 99% 且 P99 < 1000ms | 良好，表现正常 |
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| Fair | 成功率 >= 95% | 一般，建议优化 |
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| Poor | 成功率 >= 80% | 较差，需要关注 |
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| Bad | 成功率 < 80% | 很差，无法承受负载 |
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---
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## 7. 最终实践
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### 7.1 测试前准备
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1. **确认权限** - 只对你拥有或获得授权的网站进行压测
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2. **选择低峰期** - 避免影响正常用户
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3. **从小到大** - 先用小并发验证脚本正确，再逐步加压
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4. **通知相关方** - 提前告知运维/开发团队
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### 7.2 推荐测试流程
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```
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第 1 轮：验证脚本
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python stress_test.py -u http://118.89.55.254 -c 5 -n 20
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第 2 轮：基准测试
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python stress_test.py -u http://118.89.55.254 -c 10 -n 100
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第 3 轮：负载测试
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python stress_test.py -u http://118.89.55.254 -c 50 -n 1000
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第 4 轮：压力测试
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python stress_test.py -u http://118.89.55.254 -c 100 -d 300 -r 30
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第 5 轮：极限测试
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python stress_test.py -u http://118.89.55.254 -c 500 -d 300 -r 60
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```
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### 7.3 并发数建议
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| 场景 | 建议并发数 | 说明 |
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|------|-----------|------|
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| 个人博客/小型站点 | 10 - 50 | 通常单机部署 |
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| 企业官网 | 50 - 200 | 可能有 CDN |
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| 中型 API 服务 | 100 - 500 | 取决于后端架构 |
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| 大型平台 | 500 - 2000 | 建议使用分布式工具 |
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> 注意：单机压测受限于本机 CPU/内存/带宽，并发数过高时瓶颈可能在测试端而非目标服务器。
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### 7.4 如何解读结果
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- **QPS 随并发增加而趋于平稳** -> 系统已达到瓶颈
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- **P99 延迟突增** -> 存在长尾请求，可能有慢查询或资源竞争
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- **成功率下降** -> 服务器开始拒绝请求或超时
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- **HTTP 502/503 增多** -> 后端服务过载或网关超时
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- **Timeout 增多** -> 服务器处理不过来，请求排队
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---
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## 8. 常见问题
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### Q: 提示 "需要安装 aiohttp"
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```bash
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pip install aiohttp
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```
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### Q: 中文显示乱码
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Windows 默认终端使用 GBK 编码。解决方法：
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```bash
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# 方法 1：使用 Windows Terminal（推荐）
|
||||
# 方法 2：切换终端编码
|
||||
chcp 65001
|
||||
# 方法 3：使用 --no-display 导出 JSON 报告
|
||||
python stress_test.py -u https://site.com -n 100 --no-display --report result.json
|
||||
```
|
||||
|
||||
### Q: 出现 "Event loop is closed" 警告
|
||||
|
||||
这是 Python 3.8 在 Windows 上的已知无害警告，不影响测试结果。升级到 Python 3.9+ 可消除。
|
||||
|
||||
### Q: 测试端成为瓶颈怎么办
|
||||
|
||||
- 减少并发数
|
||||
- 在多台机器上分别运行（各自测试不同 URL 子集）
|
||||
- 使用更专业的分布式工具（如 Locust、k6）
|
||||
|
||||
### Q: 如何测试 WebSocket
|
||||
|
||||
当前版本仅支持 HTTP/HTTPS。如需 WebSocket 测试，建议使用专业工具。
|
||||
|
||||
### Q: 如何测试需要登录的页面
|
||||
|
||||
```bash
|
||||
# 方法 1：通过 Cookie
|
||||
python stress_test.py -u https://site.com/dashboard \
|
||||
--cookie "session=abc123" -c 20 -n 100
|
||||
|
||||
# 方法 2：通过 Header（Token 认证）
|
||||
python stress_test.py -u https://api.site.com/data \
|
||||
-H "Authorization: Bearer eyJhbG..." -c 20 -n 100
|
||||
```
|
||||
|
||||
### Q: 支持 HTTP/2 吗
|
||||
|
||||
当前使用 aiohttp，默认 HTTP/1.1。如需 HTTP/2 支持，可考虑替换为 httpx。
|
||||
|
||||
---
|
||||
|
||||
## 完整参数速查表
|
||||
|
||||
```
|
||||
用法: python stress_test.py [目标] [模式] [选项]
|
||||
|
||||
目标（必选，二选一）:
|
||||
-u URL 目标 URL（可多次指定）
|
||||
-f FILE URL 列表文件
|
||||
|
||||
模式（必选，二选一）:
|
||||
-n NUM 总请求数
|
||||
-d SECONDS 持续时间（秒）
|
||||
|
||||
并发:
|
||||
-c NUM 并发数（默认: 10）
|
||||
-r SECONDS 渐进加压时间（默认: 0）
|
||||
|
||||
HTTP:
|
||||
-m METHOD GET/POST/PUT/DELETE/PATCH/HEAD（默认: GET）
|
||||
-H "K: V" 自定义请求头（可多次使用）
|
||||
--cookie "K=V" Cookie
|
||||
--data STRING 请求体（字符串）
|
||||
--json '{}' 请求体（JSON）
|
||||
|
||||
网络:
|
||||
-t SECONDS 超时时间（默认: 30）
|
||||
--no-verify-ssl 跳过 SSL 验证
|
||||
--no-keep-alive 禁用 Keep-Alive
|
||||
|
||||
输出:
|
||||
--report FILE 保存 JSON 报告
|
||||
--no-display 禁用实时显示
|
||||
```
|
||||
|
|
@ -0,0 +1,34 @@
|
|||
{
|
||||
"timestamp": "2026-05-29T08:52:03.256740",
|
||||
"config": {
|
||||
"urls": [
|
||||
"http://118.89.55.254"
|
||||
],
|
||||
"method": "GET",
|
||||
"concurrency": 100,
|
||||
"total_requests": null,
|
||||
"duration": 30
|
||||
},
|
||||
"results": {
|
||||
"total_requests": 2732,
|
||||
"success": 2721,
|
||||
"errors": 11,
|
||||
"success_rate": 99.6,
|
||||
"elapsed_seconds": 38.23,
|
||||
"avg_qps": 71.5,
|
||||
"avg_latency_ms": 1132.38,
|
||||
"p50_ms": 433.26,
|
||||
"p90_ms": 2242.57,
|
||||
"p95_ms": 4382.01,
|
||||
"p99_ms": 13778.92,
|
||||
"total_bytes": 38417799,
|
||||
"throughput_bytes_sec": 1004842.8,
|
||||
"status_codes": {
|
||||
"200": 2721,
|
||||
"0": 11
|
||||
},
|
||||
"errors_detail": {
|
||||
"Timeout": 11
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,34 @@
|
|||
{
|
||||
"timestamp": "2026-05-29T08:53:19.265742",
|
||||
"config": {
|
||||
"urls": [
|
||||
"http://118.89.55.254"
|
||||
],
|
||||
"method": "GET",
|
||||
"concurrency": 200,
|
||||
"total_requests": null,
|
||||
"duration": 30
|
||||
},
|
||||
"results": {
|
||||
"total_requests": 2998,
|
||||
"success": 2902,
|
||||
"errors": 96,
|
||||
"success_rate": 96.8,
|
||||
"elapsed_seconds": 45.14,
|
||||
"avg_qps": 66.4,
|
||||
"avg_latency_ms": 2058.16,
|
||||
"p50_ms": 562.24,
|
||||
"p90_ms": 2626.2,
|
||||
"p95_ms": 8781.4,
|
||||
"p99_ms": 30109.4,
|
||||
"total_bytes": 40973338,
|
||||
"throughput_bytes_sec": 907561.0,
|
||||
"status_codes": {
|
||||
"200": 2902,
|
||||
"0": 96
|
||||
},
|
||||
"errors_detail": {
|
||||
"Timeout": 96
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,34 @@
|
|||
{
|
||||
"timestamp": "2026-05-29T08:55:03.464684",
|
||||
"config": {
|
||||
"urls": [
|
||||
"http://118.89.55.254"
|
||||
],
|
||||
"method": "GET",
|
||||
"concurrency": 500,
|
||||
"total_requests": null,
|
||||
"duration": 30
|
||||
},
|
||||
"results": {
|
||||
"total_requests": 3127,
|
||||
"success": 2833,
|
||||
"errors": 294,
|
||||
"success_rate": 90.6,
|
||||
"elapsed_seconds": 50.54,
|
||||
"avg_qps": 61.9,
|
||||
"avg_latency_ms": 5131.72,
|
||||
"p50_ms": 1099.29,
|
||||
"p90_ms": 27384.13,
|
||||
"p95_ms": 30285.08,
|
||||
"p99_ms": 30483.01,
|
||||
"total_bytes": 39999127,
|
||||
"throughput_bytes_sec": 791378.9,
|
||||
"status_codes": {
|
||||
"200": 2833,
|
||||
"0": 294
|
||||
},
|
||||
"errors_detail": {
|
||||
"Timeout": 294
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1 @@
|
|||
aiohttp>=3.9.0
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -0,0 +1,31 @@
|
|||
{
|
||||
"timestamp": "2026-05-29T08:21:25.325564",
|
||||
"config": {
|
||||
"urls": [
|
||||
"http://118.89.55.254"
|
||||
],
|
||||
"method": "GET",
|
||||
"concurrency": 20,
|
||||
"total_requests": 100,
|
||||
"duration": null
|
||||
},
|
||||
"results": {
|
||||
"total_requests": 124,
|
||||
"success": 124,
|
||||
"errors": 0,
|
||||
"success_rate": 100.0,
|
||||
"elapsed_seconds": 1.39,
|
||||
"avg_qps": 88.9,
|
||||
"avg_latency_ms": 167.43,
|
||||
"p50_ms": 75.7,
|
||||
"p90_ms": 375.06,
|
||||
"p95_ms": 1055.75,
|
||||
"p99_ms": 1100.21,
|
||||
"total_bytes": 1750756,
|
||||
"throughput_bytes_sec": 1255476.5,
|
||||
"status_codes": {
|
||||
"200": 124
|
||||
},
|
||||
"errors_detail": {}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,6 @@
|
|||
# 示例 URL 列表文件
|
||||
# 每行一个 URL，# 开头的行为注释
|
||||
|
||||
https://example.com
|
||||
https://example.com/api
|
||||
https://example.com/about
|
||||
Loading…
Reference in New Issue