软件测试培训机构的学员就业案例可信吗_千锋教育

import requests
from bs4 import BeautifulSoup

def search_company_info(company_name):
    """
    搜索公司信息，验证是否存在
    """
    url = f"https://www.baidu.com/s?wd={company_name}"
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
    }
    response = requests.get(url, headers=headers)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    # 提取搜索结果中的公司信息
    results = soup.find_all('div', class_='result')
    for result in results:
        title = result.find('h3').text
        if '招聘' in title or '官网' in title:
            return True
    return False

# 验证机构案例中的公司
company_name = "某知名公司"  # 替换为实际公司名
is_verified = search_company_info(company_name)
print(f"公司 '{company_name}' 存在验证结果: {is_verified}")

import requests
import json

def get_salary_data(job_title, city):
    """
    从招聘网站获取某岗位的真实薪资数据
    """
    url = f"https://api.zhipin.com/wapi/zpgeek/search/joblist.json"
    params = {
        'query': job_title,
        'city': city,
        'page': 1,
        'pageSize': 20
    }
    headers = {
        'User-Agent': 'Mozilla/5.0',
        'Cookie': 'your_cookie_here'  # 需要登录后获取
    }
    response = requests.get(url, params=params, headers=headers)
    data = response.json()
    
    salaries = []
    for job in data['zpData']['jobList']:
        salary_min = job['salaryMin']
        salary_max = job['salaryMax']
        salaries.append((salary_min + salary_max) / 2)
    
    # 计算平均薪资
    avg_salary = sum(salaries) / len(salaries) if salaries else 0
    return avg_salary

# 验证机构案例中的薪资
job_title = "软件测试工程师"
city = "北京"
avg_salary = get_salary_data(job_title, city)
print(f"{city}的{job_title}岗位平均薪资: {avg_salary}元/月")

import re

def analyze_student_background(student_info):
    """
    分析学员背景，判断是否真的零基础
    """
    # 提取关键信息
    education = re.findall(r'(本科|硕士|大专|高中)', student_info)
    major = re.findall(r'(计算机|软件|信息|电子|通信)', student_info)
    experience = re.findall(r'(工作|实习|项目|经验)', student_info)
    
    background_score = 0
    if education:
        background_score += 1  # 有学历背景
    if major:
        background_score += 2  # 有相关专业背景
    if experience:
        background_score += 3  # 有工作经验
    
    return background_score

# 验证机构案例中的学员
student_info = "张三，本科学历，非计算机专业，有2年销售经验"
score = analyze_student_background(student_info)
print(f"学员背景得分: {score}/6")

def check_teacher_background(teacher_name):
    """
    验证讲师背景
    """
    # 搜索讲师信息
    url = f"https://www.linkedin.com/search/results/people/?keywords={teacher_name}"
    headers = {
        'User-Agent': 'Mozilla/5.0'
    }
    response = requests.get(url, headers=headers)
    
    # 提取关键信息
    if '5年以上' in response.text:
        experience = True
    else:
        experience = False
    
    return experience

teacher_name = "李四"  # 替换为实际讲师名
is_qualified = check_teacher_background(teacher_name)
print(f"讲师 '{teacher_name}' 背景验证结果: {'合格' if is_qualified else '不合格'}")

import requests
import json

def test_api():
    """
    实战：测试一个真实API
    """
    url = "https://api.example.com/login"
    data = {
        "username": "test_user",
        "password": "test_pass"
    }
    headers = {
        "Content-Type": "application/json"
    }
    
    response = requests.post(url, data=json.dumps(data), headers=headers)
    
    if response.status_code == 200:
        print("API测试通过")
    else:
        print(f"API测试失败，状态码: {response.status_code}")

test_api()