funcs/f_50.py

import re

def is_spam(message):
    # Check for common spam phrases and patterns
    spam_phrases = [
        "적중", "광고", "수익", "최대할인", "할인율", "이월상품", "우대", "적립",
        "월요일부터", "코드", "무료거부", "확인해주세요", "관찰해보시면", "빠르고 신속하게", "적립금",
        "참가하기", "입장하시여", "상한가", "바랍니다", "비밀번호", "월요일", "관전", "최신 종목 추천",
        "zxc.com", "명-가", "관전o", "https://me2.kr", "이번주"
    ]

    # Check for URLs, phone numbers, and other common spam elements
    url_pattern = re.compile(r'https?:\/\/\S+|bit\.ly\/\S+|www\.[-a-zA-Z0-9@:%._\+~#=]{2,256}\.[a-z]{2,6}\b([-a-zA-Z0-9@:%_\+.~#?&//=]*)|상승2019.com')
    phone_pattern = re.compile(r'\d{2,4}\-\d{2,4}\-\d{2,4}|\d{10,13}')

    # Detect if the message has any spam elements
    for phrase in spam_phrases:
        if phrase in message:
            return True
    if url_pattern.search(message) or phone_pattern.search(message):
        return True

    # If none of the spam elements are present, the message is not spam
    return False