vedis 0.1.6


Python bindings for the Vedis embedded NoSQL database. Vedis is a fun, fast, embedded database modeled after Redis.

[View the vedis-python documentation](http://vedis-python.readthedocs.org/).

Vedis does lots of little things.

[vedis homepage](http://vedis.symisc.net/) and [license](http://vedis.symisc.net/licensing.html).

Installation
------------

You can install vedis using `pip`.

pip install vedis

Basic usage
-----------

First you instantiate a `Vedis` object, passing in either the path to the database
file or the special string `':mem:'` for an in-memory database.

Below is a sample interactive console session designed to show some of the basic features and functionality of the vedis-python library. Also check out the [full API documentation](http://vedis-python.readthedocs.org/en/latest/api.html) as well as the [vedis command documentation](http://vedis.symisc.net/commands.html).

### Key/value features

You can use Vedis like a dictionary for simple key/value lookups:

```python

>>> from vedis import Vedis
>>> db = Vedis(':mem:') # Create an in-memory database. Alternatively you could supply a filename for an on-disk database.
>>> db['k1'] = 'v1'
>>> db['k1']
'v1'

>>> db.append('k1', 'more data') # Returns length of value after appending new data.
11
>>> db['k1']
'v1more data'

>>> del db['k1']
>>> 'k1' in db
False
>>> db['k1']
None
```

You can set and get multiple items at a time:

```python

>>> db.mset(k1='v1', k2='v2', k3='v3')
True

>>> db.mget('k1', 'k2', 'missing key', 'k3')
<generator object iter_vedis_array at 0x7f37dd58be10>

>>> list(db.mget('k1', 'k2', 'missing key', 'k3'))
['v1', 'v2', None, 'v3']
```

In addition to storing string keys/values, you can also implement counters:

```python

>>> db.incr('counter')
1
>>> db.incr('counter')
2

>>> db.incr_by('counter', 10)
12
>>> db.decr('counter')
11
```

### Hashes

Vedis supports nested key/value lookups which have the additional benefit of supporting operations to retrieve all keys, values, the number of items in the hash, and so on.

```python

>>> h = db.Hash('some key')
>>> h['k1'] = 'v1'
>>> h.update(k2='v2', k3='v3')

>>> h
<Hash: {'k3': 'v3', 'k2': 'v2', 'k1': 'v1'}>

>>> h.to_dict()
{'k3': 'v3', 'k2': 'v2', 'k1': 'v1'}

>>> h.items()
[('k1', 'v1'), ('k3', 'v3'), ('k2', 'v2')]

>>> list(h.keys())
['k1', 'k3', 'k2']

>>> del h['k2']

>>> len(h)
2

>>> 'k1' in h
True

>>> [key for key in h]
['k1', 'k3']
```

### Sets

Vedis supports a set data-type which stores a unique collection of items.

```python

>>> s = db.Set('some set')
>>> s.add('v1', 'v2', 'v3')
3

>>> len(s)
3

>>> 'v1' in s, 'v4' in s
(True, False)

>>> s.top()
'v1'

>>> s.peek()
'v3'

>>> s.remove('v2')
1

>>> s.add('v4', 'v5')
2

>>> s.pop()
'v5'

>>> [item for item in s]
['v1', 'v3', 'v4']

>>> s.to_set()
set(['v1', 'v3', 'v4'])

>>> s2 = db.Set('another set')
>>> s2.add('v1', 'v4', 'v5', 'v6')
4

>>> s2 & s # Intersection.
set(['v1', 'v4'])

>>> s2 - s # Difference.
set(['v5', 'v6'])
```

### Lists

Vedis also supports a list data type.

```python

>>> l = db.List('my list')
>>> l.append('v1', 'v2', 'v3', 'v1')
4

>>> len(l)
4

>>> l[1]
'v2'

>>> db.llen('my_list')
2

>>> l.pop(), l.pop()
('v1', 'v2')

>>> len(l)
2
```

### Misc

Vedis has a somewhat quirky collection of other miscellaneous commands. Below is a sampling:

```python

>>> db.base64('encode me')
'ZW5jb2RlIG1l'

>>> db.base64_decode('ZW5jb2RlIG1l')
'encode me'

>>> db.random_string(10)
'raurquvsnx'

>>> db.rand(1, 6)
4

>>> list(db.str_split('abcdefghijklmnop', 5))
['abcde', 'fghij', 'klmno', 'p']

>>> db['data'] = 'abcdefghijklmnop'
>>> db.strlen('data')
16

>>> db.strip_tags('<p>This <span>is</span> a <a href="#">test</a>.</p>')
'This is a test.'
```

### Writing your own Vedis commands

It is easy to write your own Vedis commands:

```python

db = Vedis()

@db.register('CONCAT')
def concat(context, glue, *params):
return glue.join(params)

@db.register('TITLE')
def title(context, *params):
return [param.title() for param in params]
```

Here is how you might call the custom commands:

```python

>>> print db.execute('CONCAT | foo bar baz', result=True)
foo|bar|baz

>>> print db.execute('TITLE "testing" "this is a test" "another"', result=True)
['Testing', 'This Is A Test', 'Another']

>>> print db.TITLE('testing', 'this is a test', 'another')
['Testing', 'This Is A Test', 'Another']
```