使用Python编写一个自动化办公小助手

import os

def batch_rename_files(directory, prefix):
    """批量重命名指定目录下的所有文件，添加前缀"""
    for filename in os.listdir(directory):
        new_name = f"{prefix}_{filename}"
        os.rename(os.path.join(directory, filename), os.path.join(directory, new_name))
    print("文件重命名完成")

# 示例：批量重命名文件
batch_rename_files('path/to/your/directory', 'new_prefix')

import smtplib
from email.mime.text import MIMEText

def send_email(to_email, subject, body):
    """发送邮件"""
    sender = "your_email@example.com"
    password = "your_password"

    msg = MIMEText(body)
    msg['Subject'] = subject
    msg['From'] = sender
    msg['To'] = to_email

    with smtplib.SMTP('smtp.example.com', 587) as server:
        server.starttls()
        server.login(sender, password)
        server.sendmail(sender, to_email, msg.as_string())
    print("邮件发送成功")

# 示例：发送邮件
send_email('recipient@example.com', 'Subject', 'Email body')

import pandas as pd

def generate_excel_report(data, output_file):
    """生成 Excel 报表"""
    df = pd.DataFrame(data)
    df.to_excel(output_file, index=False)
    print("报表生成完成")

# 示例：生成 Excel 报表
data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}
generate_excel_report(data, 'report.xlsx')

import pandas as pd
import os

def batch_process_excel_files(directory, output_file):
    """批量处理 Excel 文件，合并到一个文件中"""
    all_data = []
    for filename in os.listdir(directory):
        if filename.endswith('.xlsx'):
            file_path = os.path.join(directory, filename)
            df = pd.read_excel(file_path)
            all_data.append(df)
    combined_df = pd.concat(all_data, ignore_index=True)
    combined_df.to_excel(output_file, index=False)
    print("文件处理完成")

# 示例：批量处理 Excel 文件
batch_process_excel_files('path/to/your/directory', 'combined_output.xlsx')

from apscheduler.schedulers.blocking import BlockingScheduler
import datetime

def my_job():
    print("任务执行时间：", datetime.datetime.now())

# 示例：设置定时任务
scheduler = BlockingScheduler()
scheduler.add_job(my_job, 'interval', seconds=10)
scheduler.start()

import os
import smtplib
from email.mime.text import MIMEText
import pandas as pd
from apscheduler.schedulers.blocking import BlockingScheduler
import datetime

# 批量重命名文件
def batch_rename_files(directory, prefix):
    for filename in os.listdir(directory):
        new_name = f"{prefix}_{filename}"
        os.rename(os.path.join(directory, filename), os.path.join(directory, new_name))
    print("文件重命名完成")

# 发送邮件
def send_email(to_email, subject, body):
    sender = "your_email@example.com"
    password = "your_password"

    msg = MIMEText(body)
    msg['Subject'] = subject
    msg['From'] = sender
    msg['To'] = to_email

    with smtplib.SMTP('smtp.example.com', 587) as server:
        server.starttls()
        server.login(sender, password)
        server.sendmail(sender, to_email, msg.as_string())
    print("邮件发送成功")

# 生成 Excel 报表
def generate_excel_report(data, output_file):
    df = pd.DataFrame(data)
    df.to_excel(output_file, index=False)
    print("报表生成完成")

# 批量处理 Excel 文件
def batch_process_excel_files(directory, output_file):
    all_data = []
    for filename in os.listdir(directory):
        if filename.endswith('.xlsx'):
            file_path = os.path.join(directory, filename)
            df = pd.read_excel(file_path)
            all_data.append(df)
    combined_df = pd.concat(all_data, ignore_index=True)
    combined_df.to_excel(output_file, index=False)
    print("文件处理完成")

# 定时任务
def my_job():
    print("任务执行时间：", datetime.datetime.now())

# 主函数
def main():
    # 批量重命名文件
    batch_rename_files('path/to/your/directory', 'new_prefix')

    # 发送邮件
    send_email('recipient@example.com', 'Subject', 'Email body')

    # 生成 Excel 报表
    data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}
    generate_excel_report(data, 'report.xlsx')

    # 批量处理 Excel 文件
    batch_process_excel_files('path/to/your/directory', 'combined_output.xlsx')

    # 设置定时任务
    scheduler = BlockingScheduler()
    scheduler.add_job(my_job, 'interval', seconds=10)
    scheduler.start()

if __name__ == "__main__":
    main()