结合了前面两篇我们终于可以成功地读取出用户数据、处理，再接着可以找相近的用户。

Python Redis

查询用户事件总数

 import redis
 r = redis.StrictRedis(host='localhost', port=6379, db=0)
 pipe = pipe = r.pipeline()
 pipe.zscore('osrc:user',"gmszone")
 pipe.execute()

系统返回了227.0,试试别人。

>>> pipe.zscore('osrc:user',"dfm")
<redis.client.StrictPipeline object at 0x104fa7f50>
>>> pipe.execute()
[425.0]
>>>

看看主要是在哪一天提交的

>>> pipe.hgetall('osrc:user:gmszone:day')
<redis.client.StrictPipeline object at 0x104fa7f50>
>>> pipe.execute()
[{'1': '51', '0': '41', '3': '17', '2': '34', '5': '28', '4': '22', '6': '34'}]

结果大致如下图所示:

看看主要的事件是？

>>> pipe.zrevrange("osrc:user:gmszone:event".format("gmszone"), 0, -1,withscores=True)
<redis.client.StrictPipeline object at 0x104fa7f50>
>>> pipe.execute()
[[('PushEvent', 154.0), ('CreateEvent', 41.0), ('WatchEvent', 18.0), ('GollumEvent', 8.0), ('MemberEvent', 3.0), ('ForkEvent', 2.0), ('ReleaseEvent', 1.0)]]
>>>

蓝色的就是push事件，黄色的是create等等。

到这里我们算是知道了OSRC的数据库部分是如何工作的。

Python redis 查询

主要代码如下所示

def get_vector(user, pipe=None):

    r = redis.StrictRedis(host='localhost', port=6379, db=0)
    no_pipe = False
    if pipe is None:
        pipe = pipe = r.pipeline()
        no_pipe = True

    user = user.lower()
    pipe.zscore(get_format("user"), user)
    pipe.hgetall(get_format("user:{0}:day".format(user)))
    pipe.zrevrange(get_format("user:{0}:event".format(user)), 0, -1,
                   withscores=True)
    pipe.zcard(get_format("user:{0}:contribution".format(user)))
    pipe.zcard(get_format("user:{0}:connection".format(user)))
    pipe.zcard(get_format("user:{0}:repo".format(user)))
    pipe.zcard(get_format("user:{0}:lang".format(user)))
    pipe.zrevrange(get_format("user:{0}:lang".format(user)), 0, -1,
                   withscores=True)

    if no_pipe:
        return pipe.execute()

结果在上一篇中显示出来了，也就是

  [227.0, {'1': '51', '0': '41', '3': '17', '2': '34', '5': '28', '4': '22', '6': '34'}, [('PushEvent', 154.0), ('CreateEvent', 41.0), ('WatchEvent', 18.0), ('GollumEvent', 8.0), ('MemberEvent', 3.0), ('ForkEvent', 2.0), ('ReleaseEvent', 1.0)], 0, 0, 0, 11, [('CSS', 74.0), ('JavaScript', 60.0), ('Ruby', 12.0), ('TeX', 6.0), ('Python', 6.0), ('Java', 5.0), ('C++', 5.0), ('Assembly', 5.0), ('C', 3.0), ('Emacs Lisp', 2.0), ('Arduino', 2.0)]]

有意思的是在这里生成了和自己相近的人

 ['alesdokshanin', 'hjiawei', 'andrewreedy', 'christj6', '1995eaton']