flanker，一个实用的 Python 库！

pip install flanker

from flanker.addresslib import address

# 验证电子邮件地址
email = "example@example.com"
if address.validate_address(email):
    print("This is a valid email address.")
else:
    print("Invalid email address.")

from flanker import mime

# 解析MIME消息
msg = mime.from_string(raw_mime_string)
print("Subject:", msg.subject)
print("Body:", msg.body)

from flanker import mime

# 从字符串中解析MIME消息
raw_email = """MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="frontier"

--frontier
Content-Type: text/plain

This is the body of the message.
--frontier
Content-Type: application/octet-stream
Content-Disposition: attachment; filename="example.png"

PNG data here
--frontier--"""

message = mime.from_string(raw_email)

# 遍历消息的各个部分
for part in message.parts:
    print("Type:", part.content_type)
    if part.is_attachment():
        print("Attachment:", part.detected_file_name)
    else:
        print("Content:", part.body)

from flanker.addresslib import address

# 定义自定义验证器
def custom_validator(addr):
    if not "@" in addr:
        return False
    user_part, domain_part = addr.split("@")
    if not "." in domain_part:
        return False
    if domain_part.endswith(".forbidden"):
        return False
    return True

# 使用自定义验证器
email = "username@example.forbidden"
if custom_validator(email):
    print("Valid email.")
else:
    print("Invalid email.")

from flanker.mime.message.headers import parsing, MimeHeaders

# 示例邮件头
raw_headers = "Subject: Test Email\nX-Custom-Header: Custom Value"

# 解析邮件头
headers = MimeHeaders.from_string(raw_headers)

# 修改邮件头
headers['X-Custom-Header'] = "New Custom Value"
print("Modified Headers:", headers.items())

# 假设邮件内容使用不同编码
raw_email = b"Subject: =?utf-8?B?5pel5pys6Kqe44Gu5Lqk5piO56S+5ZCI?=\\n\\nHello, world!"

# 解析邮件
message = mime.from_string(raw_email)
print("Subject:", message.subject)

from flanker.addresslib import address

# 定义一个批量验证电子邮件地址的函数
def validate_email_list(email_list):
    valid_emails = []
    for email in email_list:
        if address.validate_address(email):
            valid_emails.append(email)
        else:
            print(f"Invalid email found: {email}")
    return valid_emails

# 示例电子邮件列表
emails = ["test@example.com", "invalid-email.com", "user@domain.co"]
valid_emails = validate_email_list(emails)
print("Valid emails:", valid_emails)

from flanker import mime

def categorize_email(raw_email):
    message = mime.from_string(raw_email)
    subject = message.subject.lower()
    if "invoice" in subject:
        return "Finance Department"
    elif "support" in subject or "help" in subject:
        return "Customer Support"
    else:
        return "General"

# 示例邮件内容
email_content = "Subject: Request for Invoice\n\nPlease send the invoice for last transaction."
department = categorize_email(email_content)
print("This email should be handled by:", department)

def auto_reply(email_content):
    message = mime.from_string(email_content)
    if "thank you" in message.body.lower():
        return "You're welcome! If you have other questions, feel free to contact us."
    else:
        return "Thank you for your email. We will process your request shortly."

# 示例邮件内容
received_email = "Thank you for resolving my issue quickly."
reply = auto_reply(received_email)
print("Auto-generated reply:", reply)

def extract_data_from_email(raw_email):
    message = mime.from_string(raw_email)
    # 假设邮件内容中包含一些结构化数据
    lines = message.body.split("\n")
    data = [line.split(":")[1].strip() for line in lines if ":" in line]
    return data

# 示例邮件内容
email_data = "Name: John Doe\nPurchase: $39.99\nProduct: Book"
extracted_data = extract_data_from_email(email_data)
print("Extracted data:", extracted_data)