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from fabric import Connection

def deploy(host_string, user, password, project_path, remote_dir):
    c = Connection(host=host_string, user=user, connect_kwargs={"password": password})

    with c.cd(remote_dir):
        c.run('git pull origin master')  # 更新代码
        c.run('pip install -r requirements.txt')  # 安装依赖
        c.run('python manage.py migrate')  # 执行数据库迁移
        c.run('python manage.py collectstatic --noinput')  # 静态文件收集

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from locust import HttpUser, task, between

class WebsiteUser(HttpUser):
    wait_time = between(5, 15)  # 定义用户操作之间的等待时间

    @task
    def load_test_api(self):
        response = self.client.get("/api/data")
        assert response.status_code == 200  # 验证返回状态码为200

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import pandas as pd
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart

def generate_report(source, to_addr, subject):
    # 假设这里是从数据库或文件中获取数据并生成报告内容
    report_content = pd.DataFrame({"Data": [1, 2, 3], "Info": ["A", "B", "C"]}).to_html()

    msg = MIMEMultipart()

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import imaplib
import email
from email.header import decode_header
import os

def download_attachments(email_addr, password, imap_server, folder='INBOX'):
    mail = imaplib.IMAP4_SSL(imap_server)
    mail.login(email_addr, password)

    mail.select(folder)

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import matplotlib.pyplot as plt
import pandas as pd

def visualize_data(data_file):
    df = pd.read_csv(data_file)
    
    # 示例：绘制柱状图
    df.plot(kind='bar', x='category', y='value')
    plt.title('数据分布')
    plt.xlabel('类别')

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def analyze_log(log_file):
    with open(log_file, 'r') as f:
        lines = f.readlines()

    error_count = 0
    for line in lines:
        if "ERROR" in line:
            error_count += 1

    print(f"日志文件中包含 {error_count} 条错误记录。")

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import fileinput

def search_replace_in_files(dir_path, search_text, replace_text):
    for line in fileinput.input([f"{dir_path}/*"], inplace=True):
        print(line.replace(search_text, replace_text), end='')

# 使用示例：
search_replace_in_files('/path/to/files', 'old_text', 'new_text')

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from PIL import Image
import os

def compress_images(dir_path, quality=90):
    for filename in os.listdir(dir_path):
        if filename.endswith(".jpg") or filename.endswith(".png"):
            img = Image.open(os.path.join(dir_path, filename))
            img.save(os.path.join(dir_path, f'compressed_{filename}'), optimize=True, quality=quality)

# 使用示例：

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import pandas as pd

def clean_data(file_path):
    df = pd.read_csv(file_path)
    
    # 示例：处理缺失值
    df.fillna('N/A', inplace=True)

    # 示例：去除重复行
    df.drop_duplicates(inplace=True)

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import requests
from bs4 import BeautifulSoup

def fetch_web_content(url):
    response = requests.get(url)
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        # 示例提取页面标题
        title = soup.find('title').text
        return title