# 用Python抓取社区热门内容，自动生成每日简报
import requests
from bs4 import BeautifulSoup
import schedule
import time

def fetch_community_hot():
    # 抓取Ministry of Testing热门帖子
    url = "https://www.ministryoftesting.com/community"
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    hot_posts = soup.find_all('div', class_='post-card')
    daily_brief = []
    
    for post in hot_posts[:5]:
        title = post.find('h3').text.strip()
        link = post.find('a')['href']
        daily_brief.append(f"- {title}: {link}")
    
    return daily_brief

# 每天早上8点生成简报
def generate_daily_brief():
    brief = fetch_community_hot()
    with open('daily_brief.md', 'w') as f:
        f.write("# 今日测试社区热点\n")
        for item in brief:
            f.write(item + "\n")
    print("每日简报已生成")

schedule.every().day.at("08:00").do(generate_daily_brief)

while True:
    schedule.run_pending()
    time.sleep(60)

# 从社区获取的docker-compose配置，解决测试环境隔离问题
version: '3.8'
services:
  test-db:
    image: postgres:14
    environment:
      POSTGRES_DB: test_db
      POSTGRES_USER: test_user
      POSTGRES_PASSWORD: test_pass
    ports:
      - "5432:5432"
    tmpfs: /var/lib/postgresql/data
  
  test-api:
    build: ./api
    depends_on:
      - test-db
    environment:
      DB_HOST: test-db
      DB_PORT: 5432
  
  test-runner:
    image: maven:3.8-openjdk-11
    volumes:
      - ./tests:/tests
    command: mvn test -Dtest.suite=regression
    depends_on:
      - test-api
    environment:
      API_BASE_URL: http://test-api:8080

# 社区获取的BDD用例模板
Feature: 用户登录
  Scenario: 成功登录
    Given 用户打开登录页面
    When 输入正确的用户名和密码
    Then 跳转到首页
    
  Scenario: 失败登录
    Given 用户打开登录页面
    When 输入错误的密码
    Then 显示错误提示

今日社区帖子评分：
1. Playwright vs Cypress 2024性能对比 (95分) → 收藏，下周分享
2. 如何写测试用例 (40分) → 跳过，太基础
3. AI测试工具最新进展 (70分) → 记录，下月调研
4. 测试经理面试题库 (85分) → 收藏，团队晋升用

<!-- 社区提供的pom.xml配置 -->
<plugin>
    <groupId>io.qameta.allure</groupId>
    <artifactId>allure-maven</artifactId>
    <version>2.12</version>
    <configuration>
        <resultsDirectory>${project.build.directory}/allure-results</resultsDirectory>
    </configuration>
</plugin>

# 自动获取社区调研数据
import json
import requests

def fetch_community_survey(keyword):
    # 调用社区API获取调研数据
    api_url = f"https://api.ministryoftesting.com/surveys?keyword={keyword}"
    headers = {'Authorization': 'Bearer your_token'}
    
    response = requests.get(api_url, headers=headers)
    data = response.json()
    
    # 提取关键数据
    summary = {
        'title': data['title'],
        'sample_size': data['sample_size'],
        'key_findings': data['findings'][:5]
    }
    
    return summary

# 使用示例
result = fetch_community_survey('test automation coverage')
print(f"样本量：{result['sample_size']}个项目")
for finding in result['key_findings']:
    print(f"- {finding}")

# 社区分享模板

## 问题背景
我们的测试团队遇到[具体问题]

## 我们的方案
采用[技术方案]，解决[具体痛点]

## 关键代码

## 效果数据
- 执行时间：从X降到Y
- Bug检出率：从A升到B
- 团队效率：提升C%

## 踩坑记录
1. 坑1：[描述] → [解决方案]
2. 坑2：[描述] → [解决方案]

# 社区人才发现工具
def find_talent_in_community(tech_stack, min_reputation):
    # 搜索社区中技术栈匹配的高活跃用户
    users = []
    for platform in ['stackoverflow', 'github', 'ministryoftesting']:
        platform_users = search_platform(platform, tech_stack)
        for user in platform_users:
            if user['reputation'] >= min_reputation:
                users.append(user)
    return users

# 使用示例
talent_pool = find_talent_in_community(['selenium', 'playwright', 'python'], 1000)
for talent in talent_pool:
    print(f"候选人：{talent['name']}")
    print(f"技术栈：{talent['skills']}")
    print(f"社区贡献：{talent['contributions']}")