作为对语言编译的复习、练手,最近实现了一个类似SQL的小语言FQL,用SQL的语法完成对文件的查询。用python实现的,用到了PLY解析器。FQL当前版本是0.1.0,支持的feature有限:
1)文件属性:
- name:文件名
- ctime:文件创建时间
- mtime:上次修改时间
- atime:上次访问时间
- size:文件大小
2)聚集函数:
- count
- sum
- max
- min
3)用法:
- 交互式命令行解析器:
python fql.py
每一行作为一条命令执行
- 一次执行一条命令
python fql.py "select * from . where name like '%.py$'"
4)例子:
- 列出当前文件夹以及子文件夹中的文件
> python fql.py 'select * from .'
> -----------------------------------------------------------------------------------------------------
| name | ctime | mtime | atime | size |
-----------------------------------------------------------------------------------------------------
| accu_func.py | 2015-01-22 16:05:07 | 2015-01-22 16:05:07 | 2015-01-23 19:53:00 | 2.21K |
-----------------------------------------------------------------------------------------------------
| accu_func.pyc | 2015-01-23 19:53:00 | 2015-01-23 19:53:00 | 2015-01-23 19:53:00 | 5.87K |
-----------------------------------------------------------------------------------------------------
| fql.py | 2015-01-23 19:24:58 | 2015-01-23 19:24:58 | 2015-01-23 19:53:00 | 1.44K |
-----------------------------------------------------------------------------------------------------
- 列出所有python文件的文件名及其大小
> python fql.py 'select name, size from name like "%.py$"'
> -----------------------------------
| name | size |
-----------------------------------
| accu_func.py | 2.21K |
-----------------------------------
| fql.py | 1.44K |
-----------------------------------
- 列出在“2015-01-23 19:50:00”之后创建的python文件
> python fql.py 'select * from name like "%.py$" and ctime > 2015-01-23 19:50:00'
> -----------------------------------------------------------------------------------------------------
| name | ctime | mtime | atime | size |
-----------------------------------------------------------------------------------------------------
| fql.py | 2015-01-23 19:54:50 | 2015-01-23 19:54:49 | 2015-01-23 20:01:31 | 1.41K |
-----------------------------------------------------------------------------------------------------
| parsetab.py | 2015-01-23 19:53:00 | 2015-01-23 19:53:00 | 2015-01-23 19:54:00 | 17.87K |
-----------------------------------------------------------------------------------------------------
- 列出在“2015-01-23 19:50:00”之后创建的python文件,以及名为“README.md”的文件
> python fql.py 'select * from (name like "%.py$" and ctime > 2015-01-23) or name = "README.md"'
| name | ctime | mtime | atime | size | ----------------------------------------------------------------------------------------------------- | fql.py | 2015-01-23 19:54:50 | 2015-01-23 19:54:49 | 2015-01-23 19:57:25 | 1.41K | ----------------------------------------------------------------------------------------------------- | parsetab.py | 2015-01-23 19:53:00 | 2015-01-23 19:53:00 | 2015-01-23 19:54:00 | 17.87K | -----------------------------------------------------------------------------------------------------> -----------------------------------------------------------------------------------------------------
| README.md | 2015-01-23 20:00:53 | 2015-01-23 20:00:53 | 2015-01-23 20:00:53 | 3.94K | -----------------------------------------------------------------------------------------------------
- 计算所有python文件的总大小
> python fql.py 'select sum(size) from . where name like "%.py$"'
> -----------------------------------------
| sum(st_size) | 38.54K |
-----------------------------------------
- 列出最近创建的文件的创建时间
> python fql.py 'select max(ctime) from .'
> ------------------------------------------
| max(st_ctime) | 2015-01-23 20:07:49 |
------------------------------------------
5)安装与执行
依赖于ply,直接通过easy_install安装即可
easy_install ply
然后,执行python fql.py即可