支持中文的基于词为基本粒度的前缀树（prefix trie）python实现

Trie树，也叫字典树、前缀树。可用于”predictive text”和”autocompletion”。亦可用于统计词频（边插入Trie树边更新或加入词频）。

在计算机科学中。trie，又称前缀树或字典树。是一种有序树，用于保存关联数组，当中的键一般是字符串。与二叉查找树不同。键不是直接保存在节点中，而是由节点在树中的位置决定。一个节点的全部子孙都有同样的前缀，也就是这个节点相应的字符串，而根节点相应空字符串。

普通情况下，不是全部的节点都有相应的值，仅仅有叶子节点和部分内部节点所相应的键才有相关的值。

參考资料：http://zh.wikipedia.org/wiki/Trie

#!/usr/bin/python
# -*- coding:utf-8 -*-
# * trie, prefix tree, can be used as a dict
# * author: yangxudongsuda@gmail.com
import sys
reload(sys)
sys.setdefaultencoding("utf-8")

# Singleton sentinel - works with pickling
class NULL(object):
  pass

class Node:
  def __init__(self, value = NULL):
    self.value = value
    self.children = {}

class Trie(object):
  def __init__(self):
    self.root = Node()

  def insert(self, key, value = None, sep = ' '):  # key is a word sequence separated by 'sep'
    elements = key if isinstance(key, list) else key.split(sep)
    node = self.root
    for e in elements:
      if not e: continue
      if e not in node.children:
        child = Node()
        node.children[e] = child
        node = child
      else:
        node = node.children[e]
    node.value = value

  def get(self, key, default = None, sep = ' '):
    elements = key if isinstance(key, list) else key.split(sep)
    node = self.root
    for e in elements:
      if e not in node.children:
        return default
      node = node.children[e]
    return default if node.value is NULL else node.value

  def delete(self, key, sep = ' '):
    elements = key if isinstance(key, list) else key.split(sep)
    return self.__delete(elements)

  def __delete(self, elements, node = None, i = 0):
    node = node if node else self.root
    e = elements[i]
    if e in node.children:
      child_node = node.children[e]
      if len(elements) == (i+1):
        if child_node.value is NULL: return False # not in dict
        if len(child_node.children) == 0:
          node.children.pop(e)
        else:
          child_node.value = NULL
        return True
      elif self.__delete(elements, child_node, i+1):
        if len(child_node.children) == 0:
          return node.children.pop(e)
        return True
    return False

  def shortest_prefix(self, key, default = NULL, sep = ' '):
    elements = key if isinstance(key, list) else key.split(sep)
    results = []
    node = self.root
    value = node.value
    for e in elements:
      if e in node.children:
        results.append(e)
        node = node.children[e]
        value = node.value
        if value is not NULL:
          return sep.join(results)
      else:
        break
    if value is NULL:
      if default is not NULL:
        return default
      else:
        raise Exception("no item matches any prefix of the given key!")
    return sep.join(results)

  def longest_prefix(self, key, default = NULL, sep = ' '):
    elements = key if isinstance(key, list) else key.split(sep)
    results = []
    node = self.root
    value = node.value
    for e in elements:
      if e not in node.children:
        if value is not NULL:
          return sep.join(results)
        elif default is not NULL:
          return default
        else:
          raise Exception("no item matches any prefix of the given key!")
      results.append(e)
      node = node.children[e]
      value = node.value
    if value is NULL:
      if default is not NULL:
        return default
      else:
        raise Exception("no item matches any prefix of the given key!")
    return sep.join(results)

  def longest_prefix_value(self, key, default = NULL, sep = ' '):
    elements = key if isinstance(key, list) else key.split(sep)
    node = self.root
    value = node.value
    for e in elements:
      if e not in node.children:
        if value is not NULL:
          return value
        elif default is not NULL:
          return default
        else:
          raise Exception("no item matches any prefix of the given key!")
      node = node.children[e]
      value = node.value
    if value is not NULL:
      return value
    if default is not NULL:
      return default
    raise Exception("no item matches any prefix of the given key!")

  def longest_prefix_item(self, key, default = NULL, sep = ' '):
    elements = key if isinstance(key, list) else key.split(sep)
    node = self.root
    value = node.value
    results = []
    for e in elements:
      if e not in node.children:
        if value is not NULL:
          return (sep.join(results), value)
        elif default is not NULL:
          return default
        else:
          raise Exception("no item matches any prefix of the given key!")
      results.append(e)
      node = node.children[e]
      value = node.value
    if value is not NULL:
      return (sep.join(results), value)
    if default is not NULL:
      return (sep.join(results), default)
    raise Exception("no item matches any prefix of the given key!")

  def __collect_items(self, node, path, results, sep):
    if node.value is not NULL:
      results.append((sep.join(path), node.value))
    for k, v in node.children.iteritems():
      path.append(k)
      self.__collect_items(v, path, results, sep)
      path.pop()
    return results  

  def items(self, prefix, sep = ' '):
    elements = prefix if isinstance(prefix, list) else prefix.split(sep)
    node = self.root
    for e in elements:
      if e not in node.children:
        return []
      node = node.children[e]
    results = []
    path = [prefix]
    self.__collect_items(node, path, results, sep)
    return results

  def keys(self, prefix, sep = ' '):
    items = self.items(prefix, sep)
    return [key for key,value in items]

if __name__ == '__main__':
  trie = Trie()
  trie.insert('happy 站台', 1)
  trie.insert('happy 站台 xx', 10)
  trie.insert('happy 站台 xx yy', 11)
  trie.insert('happy 站台 美食 购物 广场', 2)
  trie.insert('sm')
  trie.insert('sm 国际', 22)
  trie.insert('sm 国际 广场', 2)
  trie.insert('sm 城市广场', 3)
  trie.insert('sm 广场', 4)
  trie.insert('sm 新生活 广场', 5)
  trie.insert('sm 购物 广场', 6)
  trie.insert('soho 尚都', 3)

  print trie.get('sm')
  print trie.longest_prefix([], default="empty list")
  print trie.longest_prefix('sm')
  print trie.shortest_prefix('happy 站台')
  print trie.shortest_prefix('happy 站台 xx')
  print trie.shortest_prefix('sm')
  print trie.longest_prefix('sm xx', sep = '&', default = None)
  print 'sm 广场 --> ', trie.get('sm 广场')
  print trie.get('sm 广场'.split(' '))
  print trie.get('神马')
  print trie.get('happy 站台')
  print trie.get('happy 站台 美食 购物 广场')
  print trie.longest_prefix('soho 广场', 'default')
  print trie.longest_prefix('soho 尚都 广场')
  print trie.longest_prefix_value('soho 尚都 广场')
  print trie.longest_prefix_value('xx 尚都 广场', 90)
  print trie.longest_prefix_value('xx 尚都 广场', 'no prefix')
  print trie.longest_prefix_item('soho 尚都 广场')

  print '============== keys ================='
  print 'prefix "sm": ', ' | '.join(trie.keys('sm'))
  print '============== items ================='
  print 'prefix "sm": ', trie.items('sm')

  print '================= delete ====================='
  print trie.delete('sm 广场')
  print trie.get('sm 广场')
  print trie.delete('sm 国际')
  print trie.get('sm 国际')
  print trie.delete('sm xx')
  print trie.delete('xx')

  print '====== no item matches any prefix of given key ========'
  print trie.longest_prefix_value('happy')
  print trie.longest_prefix_value('soho xx')

执行结果：

None
empty list
sm
happy 站台
happy 站台
sm
None
sm 广场 -->  4
4
None
1
2
default
soho 尚都
3
90
no prefix
('soho xe5xb0x9axe9x83xbd', 3)
============== keys =================
prefix "sm":  sm | sm 新生活 广场 | sm 城市广场 | sm 广场 | sm 购物 广场 | sm 国际 | sm 国际 广场
============== items =================
prefix "sm":  [('sm', None), ('sm xe6x96xb0xe7x94x9fxe6xb4xbb xe5xb9xbfxe5x9cxba', 5), ('sm xe5x9fx8exe5xb8x82xe5xb9xbfxe5x9cxba', 3), ('sm xe5xb9xbfxe5x9cxba', 4), ('sm xe8xb4xadxe7x89xa9 xe5xb9xbfxe5x9cxba', 6), ('sm xe5x9bxbdxe9x99x85', 22), ('sm xe5x9bxbdxe9x99x85 xe5xb9xbfxe5x9cxba', 2)]
================= delete =====================
True
None
True
None
False
False
====== no item matches any prefix of given key ========
Traceback (most recent call last):
  File "./word_based_trie.py", line 225, in <module>
    print trie.longest_prefix_value('happy')
  File "./word_based_trie.py", line 128, in longest_prefix_value
    raise Exception("no item matches any prefix of the given key!")
Exception: no item matches any prefix of the given key!