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Easily store, index, and modify Python dicts in Redis (with flexible searching)

Project description

Easily store, index, and modify Python dicts in Redis (with flexible searching).


% pip install redis-helper


% pip install git+git://

Modify the ~/.config/redis-helper/settings.ini file.


>>> import redis_helper as rh
>>> collection = rh.RedThing(..., index_fields='field1,field3')
>>> hash_id = collection.add(field1='', field2='', field3='', ...)
>>> collection.add(...)
>>> collection.add(...)
>>> collection.update(hash_id, field1='', field4='', ...)
>>> change_history = collection.old_data_for_hash_id(hash_id)
>>> data = collection.get(hash_id)
>>> some_data = collection.get(hash_id, 'field1,field3')
>>> results = collection.find(...)
>>> results2 = collection.find('field1:val,field3:val', ...)
>>> results3 = collection.find(..., get_fields='field2,field4')
>>> counts = collection.find(count=True, ...)
>>> top_indexed = collection.index_field_info()
>>> collection.delete(hash_id, ...)

Note: this is only a small usage sample. Several ``RedThing``
methods have many parameters.

Test running

% git clone
% cd redis_helper
% python3 test

Note: requires setuptools (i.e.
``sudo apt-get install python3-setuptools``)

Dev setup

% git clone
% cd redis_helper
% ./dev-setup.bash

Create a virtual environment with extra dependencies (ipython,
pdbpp, pytest).


A Python dictionary is a very useful container for grouping facts about some particular entity. Dictionaries have keys that map to values (so if we want to retrieve a particular value stored in a dictionary, we can access it through its key). The dictionary itself is accessed by its variable name.

Redis is a data structure server (among other things). It is great for storing various types of objects that can be accessed between different programs and processes. When your program stops running, objects that you have stored in Redis will remain. To retreive an object from Redis, you must access it through its key name (kind of like a Python variable name).

A Redis hash is most similar to a Python dictionary. A “key” in a Python dictionary is analogous to a “field” in a Redis hash (since “key” means something different in Redis). The redis-py library provides the StrictRedis class, which contain methods that correspond to all of the Redis server commands.

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