CRedisDict

Data structure to implement a dictionary whose keys and values can be complex data (dict, list...) and are stored in a Redis database. The dictionary is initiated by copying each single (key,value) rather than using hmset. It takes more time at initialisation but it is faster each time a key is accessed.

Prerequisites

• Python 3 with the following modules:
  • redis

Install

From Conda

[sudo] conda install -c brsynth credisdict

Use

First, redis has to be installed and started:

[sudo] conda install -c conda-forge redis
[sudo] redis-server --daemonize yes

Then, the following Python code can be executed:

from redis      import StrictRedis
from credisdict import CRedisDict, wait_for_redis

# Init the redis connection
redis = StrictRedis(host='localhost', port=6379, db=0, decode_responses=True)

# Wait for redis server
if not wait_for_redis(redis, 5):
    exit()

=======
```python
from credisdict import CRedisDict, wait_for_redis

redis = StrictRedis(host='localhost', port=6379, db=0, decode_responses=True)
if not wait_for_redis(redis, 10):
    exit()

d1 = CRedisDict('d1', redis)
d1['A'] = '1'
d1['B'] = 'b'
d1['C'] = {'a': 1, 'b': 2}

Tests

Test can be run with the following commands:

Natively

cd tests
pytest -v

CI/CD

For further tests and development tools, a CI toolkit is provided in ci folder (see ci/README.md).

Authors

• Joan Hérisson

Licence

CRedisDict is released under the MIT licence. See the LICENCE file for details.