电子邮件发送时间优化

要优化电子邮件发送时间，可以采取以下解决方法：

1. 批量发送邮件：将要发送的邮件进行批量处理，而不是逐个发送。这样可以减少连接服务器的次数，提高发送效率。

import smtplib
from email.mime.text import MIMEText

def send_batch_email(recipients, subject, message):
    smtp_server = 'smtp.example.com'
    smtp_port = 587
    sender = 'sender@example.com'
    password = 'password'

    msg = MIMEText(message)
    msg['Subject'] = subject
    msg['From'] = sender

    with smtplib.SMTP(smtp_server, smtp_port) as server:
        server.starttls()
        server.login(sender, password)
        server.sendmail(sender, recipients, msg.as_string())

recipients = ['recipient1@example.com', 'recipient2@example.com', 'recipient3@example.com']
subject = '优化发送时间测试'
message = '这是一封测试邮件。'

send_batch_email(recipients, subject, message)

2. 异步发送邮件：使用多线程或异步任务队列来发送邮件，可以减少发送时间并提高系统的响应速度。

import smtplib
from email.mime.text import MIMEText
from concurrent.futures import ThreadPoolExecutor

def send_email(recipient, subject, message):
    smtp_server = 'smtp.example.com'
    smtp_port = 587
    sender = 'sender@example.com'
    password = 'password'

    msg = MIMEText(message)
    msg['Subject'] = subject
    msg['From'] = sender

    with smtplib.SMTP(smtp_server, smtp_port) as server:
        server.starttls()
        server.login(sender, password)
        server.sendmail(sender, [recipient], msg.as_string())

def send_async_email(recipients, subject, message):
    with ThreadPoolExecutor() as executor:
        for recipient in recipients:
            executor.submit(send_email, recipient, subject, message)

recipients = ['recipient1@example.com', 'recipient2@example.com', 'recipient3@example.com']
subject = '优化发送时间测试'
message = '这是一封测试邮件。'

send_async_email(recipients, subject, message)

以上是两种优化电子邮件发送时间的解决方法，分别是批量发送邮件和异步发送邮件。根据实际需求选择适合的方法来提高发送效率。