#!/usr/bin/python
    # coding:utf-8
    # Copyright 2013--2015.
    # Licensed under the Apache License, Version 1
    # http://www.apache.org/licenses/LICENSE-2.0
     
    # Word_Searching Script
    # Author: fish
    # Email: fsh267@gmail.com
    # http://www.love67.net
    # usage1: 'python **.py word' to find the word's explination or
    # usage2: 'python **.py word -detail' to list the phrase of the word
    from bs4 import BeautifulSoup
    import sys
    import urllib2
    # 判断用户输入的是英文还是中文
    # decode 是将其他字符编码转换成unicode
    # 中文的unicode字符区是 'u4e00' 到 '\u9fa5'
    def is_Chinese(uchar):
        uchar = uchar.decode('utf8')
        return uchar >= u'\u4e00' and uchar <= u'\u9fa5'
    # 格式输入错误的提示
    def input_error():
        print "usage1: 'python **.py word' or "
        print "usage2: 'python **.py word -detail (For English Only)"
    def main():
        length = len(sys.argv)
        # 读入命令行
        if length < 2:
            input_error()
            sys.exit()
        else:
            word = sys.argv[1]
        # url是有道翻译的对应网页
        url = 'http://dict.youdao.com/search?le=en&q=%s&keyfrom=dict.index' % word
        # urlopen函数调用
        # print url
        data = urllib2.urlopen(url).read()
        # print data
        # 将data网页源代码放到soup中，便于匹配
        soup = BeautifulSoup(data)
        # soup.find() 可以放入标签和class名称
        word_div = soup.find('div', 'trans-container')
        if not word_div:
            print 'word does not exists'
            sys.exit()
        # word_div存了一个标签，每个单词意思，存在每个<li>**</li>中,格式化输出，不带'<li></li>'
        if is_Chinese(word):
            for word_explination in word_div.find_all('a', 'search-js'):
                print word_explination.string
        else:
            for word_explination in word_div.find_all('li'):
                print str(word_explination)[4: -5]
        # 第二种输入，还得显示出单词组成的短语
        # BeautifulSoup提供的find函数可以查找'p', 'a','span'等html标志语言模块
        if length == 3:
            if sys.argv[2] != '-detail':
                input_error()
            else:
                raw_explination = ''
                span = soup.find_all('p', 'wordGroup')
                # 最后一组词组有问题，删去了
                for element in span[: -1]:
                    link = element.find('a')
     
                    # 转化成字符串，用于定位到解释那里
                    raw_explination += str(element)
                    location = raw_explination.find('</span>')
                    # 格式化单词解释，</span>长度为7, </p>长度为4, 只采用第一个意思
                    explination = raw_explination[location + 7: -4].split()[0]
                    # python 自带的输出对齐, ljust(num), rjust(num)
                    print link.string.ljust(25), explination
                    raw_explination = ''
    if __name__ == '__main__':
        main()