Email Parsing and Date Difference Analysis

This function takes two arguments: email content and email subject. It first parses the keywords from the email subject, then extracts the date from the email content, calculates the difference in days from the current date, and finally converts the result to JSON format.

Technology Stack : random, json, math, os, sys, datetime, re, email, EmailMessage

Code Type : Function

Code Difficulty : Intermediate

                
                    
import random
import json
import math
import os
import sys
import datetime
import re
import email
from email.message import EmailMessage

def parse_email_subject(subject):
    """
    解析电子邮件主题，提取关键词。
    """
    # 使用正则表达式提取主题中的关键词
    keywords = re.findall(r'\b\w+\b', subject)
    return keywords

def xxx(arg1, arg2):
    # 模拟一个简单的邮件解析功能
    email_content = arg1  # 假设arg1是包含邮件内容的字符串
    email_subject = arg2  # 假设arg2是邮件主题的字符串

    # 解析邮件主题
    subject_keywords = parse_email_subject(email_subject)

    # 假设邮件内容包含日期，使用datetime模块提取日期
    from datetime import datetime
    email_date = datetime.strptime(re.search(r'\d{4}-\d{2}-\d{2}', email_content).group(), '%Y-%m-%d')

    # 使用math模块计算日期与当前日期的差值
    days_diff = (datetime.now() - email_date).days

    # 使用json模块将结果转换为JSON格式
    result = {
        "subject_keywords": subject_keywords,
        "email_date": email_date.strftime('%Y-%m-%d'),
        "days_diff": days_diff
    }
    json_result = json.dumps(result)

    return json_result

# 测试函数
email_content = "Hello, this is a test email. It was sent on 2023-03-15."
email_subject = "Test Email with Keywords"
print(xxx(email_content, email_subject))