autocomplete-redis 是一个基于 redis 的类似 quora 的自动完成功能 .zip

autocomplete-redis ============ autocomplete-redis is a quora like automatic autocompletion based on redis. Installation --------- * install pip (if you haven't yet) `easy_install pip` * install pymmseg (support for Chinese Characters)： `pip install pymmseg` * install autocomplete-redis： `pip install -e git+https://github.com/fengli/autocomplete-redis.git#egg=autocomplete-dev` Quick start ---------- * Assume you have few items to index. ```python items=[{"uid":'1', "score":9, "term": u"hello world, that's great"}, {"uid":'2', "score":10, "term": u"what the hell or yell"}, {"uid":'3', "score":8.5, "term":u"World is like a box of chocolate"}, ] ``` The code for build the index and search is simple: ```python from autocomplete import Autocomplete #build index au = Autocomplete ("scope") for item in items: au.add_item (item) #search restuls = au.search_query (u'hel') print results [{'term': 'what the hell or yell', 'score': 10, 'uid': '2'}, {'term': "hello world, that's great", 'score': 9, 'uid': '1'}] ``` API --------------- * Convention: the item you pass to `autocomplete` should have at least `"uid"` and `"term"`, `"score"` is optional, but it's important if you want to return based on ranking. And you could have other fields as you like. ```python {"uid":'1', "score":9, "term": u"hello world, that's great", 'meta':"1992"} ``` * `uid`: the unique identifier for your item * `score`: the returned items sorted by this value. * `term`: the string to be indexed. * `def __init__ (self, scope, redisaddr="localhost", limits=5, cached=True)` * scope: Scope allows you to index multiple independent indexes. * redisaddr: your redis address * limits: How many results you want to get. * cached: Cache multiple keys combination? * `def del_index (self)` Delete all the indexes. Warning: all data will be deleted. * `def add_item (self,item)` Add item to index. * `def del_item (self,item)` Delete item from index. * `def update_item (self, item)` Update item indexed with item['uid'] with the new version. * `def search_query (self,prefix)` Search in database for all items that `item['term']` included `PREFIX` Bring to you by: ---------------- * http://readpi.com