A lightweight and efficient Redis storage manager for Python applications. Provides simple CRUD (Create, Read, Update, Delete) operations with JSON serialization and hash-based data organization.
- Simple CRUD Operations: Easy-to-use methods for Create, Read, Update, and Delete operations
- JSON Serialization: Automatic serialization and deserialization of Python objects
- Hash-based Storage: Organized data storage using Redis hashes with unique keys
- TTL Support: Configurable expiration time for stored data
- Thread-safe: Built on Redis-py, suitable for multi-threaded applications
- Flexible Data Structure: Store multiple key-value pairs under a single unique identifier
pip install smart-redis-storage- Python 3.6+
- Redis server
- redis-py library
from smart_redis_storage.redis_storage import RedisStorageManager
# Initialize with default Redis connection (localhost:6379)
redis_storage = RedisStorageManager()
# Store user data
user_id = 123
redis_storage.set_data(
uniq_key=user_id,
key='profile',
value={'name': 'John', 'age': 30, 'email': 'john@example.com'}
)
# Retrieve user data
profile = redis_storage.get_data(uniq_key=user_id, key='profile')
print(profile) # {'name': 'John', 'age': 30, 'email': 'john@example.com'}
# Store with expiration (30 seconds)
redis_storage.set_data(
uniq_key=user_id,
key='session_data',
value={'token': 'abc123', 'last_login': '2024-01-01'},
expiration=30
)# Connect to custom Redis instance
redis_storage = RedisStorageManager(
host='redis-server.com',
port=6379,
db=1
)# Store multiple pieces of data under same unique key
user_id = 456
redis_storage.set_data(user_id, 'preferences', {'theme': 'dark', 'language': 'en'})
redis_storage.set_data(user_id, 'cart', {'items': [1, 2, 3], 'total': 150.0})
# Get all data for a user
all_user_data = redis_storage.get_all_data(user_id)
print(all_user_data)
# {'preferences': {'theme': 'dark', 'language': 'en'}, 'cart': {'items': [1, 2, 3], 'total': 150.0}}
# Update specific data
redis_storage.update_data(user_id, 'preferences', {'theme': 'light', 'language': 'en'})
# Pop data (read and remove)
cart_data = redis_storage.pop_data(user_id, 'cart')
print(cart_data) # {'items': [1, 2, 3], 'total': 150.0}
# Check remaining TTL
ttl = redis_storage.get_ttl(user_id)
print(f"TTL: {ttl} seconds")# Delete specific key
redis_storage.delete_key(user_id, 'preferences')
# Delete all data for a unique key
redis_storage.delete_all_hash(user_id)
# Check if data exists
data = redis_storage.get_data(user_id, 'nonexistent_key')
print(data) # NoneRedisStorageManager(host='localhost', port=6379, db=0)-
set_data(uniq_key, key, value, expiration=None)
Store data with optional expiration (in seconds) -
get_data(uniq_key, key, pop=False)
Retrieve data. Setpop=Trueto remove after reading -
get_all_data(uniq_key)
Retrieve all key-value pairs for a unique identifier -
update_data(uniq_key, key, value, expiration=None)
Update existing data (alias for set_data) -
pop_data(uniq_key, key)
Retrieve and remove data -
delete_key(uniq_key, key)
Remove specific key -
delete_all_hash(uniq_key)
Remove all data for a unique identifier -
get_ttl(uniq_key)
Get remaining time-to-live in seconds
# Store user session
def store_user_session(user_id, session_data):
redis_storage.set_data(
uniq_key=user_id,
key='session',
value=session_data,
expiration=3600 # 1 hour
)
# Retrieve and validate session
def get_valid_session(user_id):
session = redis_storage.get_data(user_id, 'session')
if session and session.get('valid_until') > time.time():
return session
return None# Cache expensive computation results
def get_cached_data(user_id, data_key, compute_function):
cached = redis_storage.get_data(user_id, data_key)
if cached is not None:
return cached
# Compute and cache if not found
result = compute_function()
redis_storage.set_data(user_id, data_key, result, expiration=300)
return result# Different tenants can use the same storage with different unique keys
tenant_a_data = redis_storage.get_all_data('tenant_a')
tenant_b_data = redis_storage.get_all_data('tenant_b')The library uses Redis hashes with the following pattern:
- Key format:
uniq:{unique_identifier} - Field: Your specified key
- Value: JSON-serialized data
Example:
uniq:123 (Hash)
├── profile → '{"name": "John", "age": 30}'
├── session → '{"token": "abc123", "last_login": "2024-01-01"}'
└── preferences → '{"theme": "dark", "language": "en"}'
The library handles Redis connection errors and JSON serialization/deserialization automatically. In case of connection issues, Redis-py will raise appropriate exceptions that you can catch in your application.
try:
redis_storage.set_data(user_id, 'key', {'data': 'value'})
except redis.ConnectionError as e:
print(f"Redis connection error: {e}")
except Exception as e:
print(f"Unexpected error: {e}")- Uses Redis hashes for efficient storage of multiple related data
- JSON serialization adds overhead but provides flexibility
- Consider data size and expiration policies for optimal performance
- Batch operations can be implemented by storing multiple keys under same unique identifier
This project is licensed under the BSD 3-Clause License - see the LICENSE file for details.
Alexander Suvorov
- GitHub: @smartlegionlab
- Package: PyPI
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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Licensed under the terms of the BSD 3-Clause License
(see LICENSE for details).
Copyright © 2018-2025, Alexander Suvorov
All rights reserved.
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