redis-simplify 1.1.1

Wrapper de conveniência para Redis - conexão, JSON helpers e reconexão automática

redis-simplify

A lightweight synchronous convenience wrapper for Redis built on top of redis-py.

redis-simplify was created to reduce repetitive Redis boilerplate in Python applications by providing a simple and consistent interface with automatic reconnection, JSON helpers, centralized logging, and defensive error handling.

This package is not a Redis client replacement. It is a convenience layer built on top of redis-py to simplify common Redis operations.

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Features

• Explicit Redis configuration (host, port, password, db)

• Does not automatically read .env files

• Automatic reconnection when Redis becomes unavailable

• Centralized logging and error handling

• JSON helpers for storing Python dictionaries

• Safe fallback values on failures

• Fully tested with pytest

• Lightweight implementation

• Synchronous API

• Support for the most commonly used Redis operations:

  • Strings
  • Sets
  • Hashes
  • Lists
  • Pipelines
  • SCAN iteration

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Installation

Basic Installation

pip install redis-simplify

With Test Dependencies (Contributors)

pip install redis-simplify[test]

Full Development Setup

git clone https://github.com/Paulouuul/redis-simplify
cd redis-simplify

pip install -e .[dev]

pytest tests/ -v

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Requirements

• Python >= 3.8
• redis-py >= 4.0.0

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Quick Start

from redis_simplify import RedisClient

client = RedisClient(
    host="localhost",
    port=6379
)

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Configuration

All configuration is explicit via constructor parameters:

from redis_simplify import RedisClient

client = RedisClient(
    host="localhost",   # Required
    port=6379,          # Default: 6379
    password=None,      # Optional
    db=0,               # Default: 0
    log_level="INFO"    # Default: INFO
)

The package does not automatically read .env files.

Configuration is intentionally explicit to keep behavior predictable and framework-agnostic.

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Basic Usage

Strings

from redis_simplify import RedisClient

client = RedisClient(host="localhost", port=6379)

client.set("chave", "valor")

print(client.get("chave"))

Output:

valor

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JSON Helpers

Store Python dictionaries directly in Redis.

client.set_json(
    "usuario:1",
    {
        "nome": "João",
        "idade": 30
    }
)

print(client.get_json("usuario:1"))

Output:

{
    "nome": "João",
    "idade": 30
}

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Sets

client.sadd("tags", "python", "redis")

print(client.smembers("tags"))

Possible output:

{"python", "redis"}

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Connection Check

if client.ping():
    print("Redis online")
else:
    print("Redis unavailable")

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Automatic Reconnection

Before executing operations, the client verifies the connection status.

If Redis becomes unavailable, the wrapper automatically attempts to reconnect before executing the requested command.

This behavior is transparent to application code and helps reduce connection-management boilerplate.

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Automatic Reconnection Example

from redis_simplify import RedisClient

# Redis is running
client = RedisClient(host="localhost")

client.set("key", "value")

# Redis goes down...
# server restart, network interruption, etc.

# When Redis becomes available again,
# the next operation automatically attempts reconnection

value = client.get("key")

print(value)

No manual reconnection logic is required.

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Error Handling

All operations include consistent exception handling and logging.

Instead of propagating Redis exceptions, the wrapper logs errors and returns safe fallback values whenever possible.

Fallback Values

When Redis operations fail, the wrapper returns safe defaults instead of raising exceptions:

Return Type	Fallback
str / object	None
bool	False
int	0
list	[]
dict	{}
set	set()

This approach helps keep application code clean and reduces repetitive try/except blocks.

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Logging

The client uses Python's built-in logging module. Default log level is INFO.

Configuring Log Level

# Set during initialization
client = RedisClient(host="localhost", log_level="DEBUG")

# Or change after creation
client.set_log_level("WARNING")

Log

Level	Shows
DEBUG	All operations (set, get, delete, etc.)
INFO	Connections and errors (default)
WARNING	Warnings and errors only
ERROR	Errors only

Example Output with DEBUG

INFO:redis_simplify.client:RedisClient connected: localhost:6379
DEBUG:redis_simplify.client:Set test = hello world...
DEBUG:redis_simplify.client:Get test: hello world...

Available Methods

Strings

Method	Description
set(key, value, expire_seconds=None)	Set a value
get(key)	Retrieve a value
delete(*keys)	Delete one or more keys
exists(key)	Check if a key exists
expire(key, seconds)	Set expiration time
incr(key)	Increment a value
decr(key)	Decrement a value

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JSON

Method	Description
set_json(key, data, expire_seconds=None)	Store a dictionary as JSON
get_json(key)	Retrieve and deserialize JSON

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Sets

Method	Description
sadd(key, *values)	Add members
srem(key, *values)	Remove members
smembers(key)	Retrieve all members
sismember(key, value)	Check membership
scard(key)	Count members

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Hashes

Method	Description
hset(key, field, value)	Set a hash field
hget(key, field)	Retrieve a field
hgetall(key)	Retrieve all fields

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Lists

Method	Description
lpush(key, *values)	Push values to the beginning
rpush(key, *values)	Push values to the end
lrange(key, start, end)	Retrieve a range of values

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Utilities

Method	Description
ping()	Verify connectivity
pipeline()	Create a Redis pipeline
scan(cursor=0, match=None, count=None)	Iterate keys using SCAN
flush_all()	Remove all Redis databases
close()	Close the connection
set_log_level(level)	Change log level at runtime

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Pipeline Example

pipe = client.pipeline()

pipe.set("user:1", "John")
pipe.set("user:2", "Jane")

pipe.execute()

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SCAN Example

cursor = 0

while True:
    cursor, keys = client.scan(
        cursor=cursor,
        match="user:*",
        count=100
    )

    print(keys)

    if cursor == 0:
        break

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Shared Instance Pattern

redis-simplify does not enforce a Singleton pattern.

However, many applications create a single shared instance and reuse it throughout the project:

from redis_simplify import RedisClient

redis_client = RedisClient(
    host="localhost",
    port=6379
)

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Why redis-simplify?

Many projects repeatedly implement:

• Redis connection setup
• Health checks
• Reconnection logic
• JSON serialization and deserialization
• Logging
• Defensive exception handling

redis-simplify centralizes these concerns into a small reusable wrapper while preserving the familiar Redis workflow provided by redis-py.

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Differences from redis-py

Feature	redis-py	redis-simplify
Exception handling	Raises exceptions	Logs and returns fallback values
Reconnection	Manual handling	Automatic
JSON helpers	No built-in helpers	set_json() / get_json()
Configuration	Highly flexible	Explicit constructor configuration
Logging control	Basic	Configurable log levels
Convenience wrapper	No	Yes
Safe defaults	No	Yes

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Running Tests

The project includes automated tests built with pytest.

pytest

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Contributing

Contributions are welcome.

To contribute:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add or update tests when applicable
5. Open a Pull Request

Bug reports, improvements, and feature suggestions are appreciated.

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Documentation

Useful resources:

• Redis Commands: https://redis.io/commands
• redis-py Documentation: https://redis-py.readthedocs.io/
• redis-simplify GitHub: https://github.com/Paulouuul/redis-simplify

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License

This project is licensed under the MIT License.

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Author

Paulo Ricardo Tebet Lyrio

GitHub: https://github.com/Paulouuul/redis-simplify