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Redis client library for kiarina namespace

Project description

kiarina-lib-redis

English | 日本語

A Python client library for Redis with configuration management and connection pooling.

Purpose

This library provides a thin wrapper around the Redis Python client with:

  • Configuration management using pydantic-settings-manager
  • Automatic connection caching and pooling
  • Built-in retry mechanism for connection failures
  • Support for both synchronous and asynchronous operations

Installation

pip install kiarina-lib-redis

Quick Start

Synchronous Usage

from kiarina.lib.redis import get_redis

# Get a Redis client
redis = get_redis(decode_responses=True)

# Basic operations
redis.set("key", "value")
value = redis.get("key")
print(value)  # 'value'

Asynchronous Usage

from kiarina.lib.redis.asyncio import get_redis

async def main():
    redis = get_redis(decode_responses=True)

    await redis.set("key", "value")
    value = await redis.get("key")
    print(value)  # 'value'

API Reference

get_redis()

Get a Redis client with configuration management.

def get_redis(
    settings_key: str | None = None,
    *,
    cache_key: str | None = None,
    use_retry: bool | None = None,
    url: str | None = None,
    **kwargs: Any,
) -> redis.Redis:

Parameters:

  • settings_key: Configuration key to use (for multi-configuration setups)
  • cache_key: Cache key for connection pooling (defaults to URL)
  • use_retry: Enable automatic retry on connection errors
  • url: Redis connection URL (overrides configuration)
  • **kwargs: Additional parameters passed to redis.Redis.from_url()

Returns:

  • redis.Redis: Redis client instance (cached)

RedisSettings

Configuration model for Redis connection.

Fields:

  • url: SecretStr - Redis connection URL (default: "redis://localhost:6379")
  • use_retry: bool - Enable automatic retries (default: False)
  • socket_timeout: float - Socket timeout in seconds (default: 6.0)
  • socket_connect_timeout: float - Connection timeout in seconds (default: 3.0)
  • health_check_interval: int - Health check interval in seconds (default: 60)
  • retry_attempts: int - Number of retry attempts (default: 3)
  • retry_delay: float - Delay between retries in seconds (default: 1.0)
  • initialize_params: dict[str, Any] - Additional Redis client parameters

settings_manager

Global settings manager instance for Redis configuration.

from kiarina.lib.redis import settings_manager

# Configure multiple environments
settings_manager.user_config = {
    "development": {"url": "redis://localhost:6379"},
    "production": {"url": "redis://prod:6379", "use_retry": True}
}

# Switch configuration
settings_manager.active_key = "production"

Configuration

Configuration can be provided via YAML files using pydantic-settings-manager.

YAML Configuration

# config.yaml
kiarina.lib.redis:
  development:
    url: "redis://localhost:6379"
    use_retry: false

  production:
    url: "redis://prod-server:6379"
    use_retry: true
    socket_timeout: 10.0
    retry_attempts: 5
    retry_delay: 2.0

Load configuration:

import yaml
from kiarina.lib.redis import settings_manager

with open("config.yaml") as f:
    config = yaml.safe_load(f)
    settings_manager.user_config = config["kiarina.lib.redis"]

# For multi-config
settings_manager.active_key = "production"

Environment Variables

All settings can be overridden using environment variables with the KIARINA_LIB_REDIS_ prefix:

export KIARINA_LIB_REDIS_URL="redis://localhost:6379"
export KIARINA_LIB_REDIS_USE_RETRY="true"
export KIARINA_LIB_REDIS_SOCKET_TIMEOUT="10.0"

URL Formats

  • redis://localhost:6379 - Basic connection
  • redis://username:password@localhost:6379 - With authentication
  • rediss://localhost:6379 - SSL/TLS connection
  • redis://localhost:6379/0 - Specify database number
  • unix:///path/to/socket.sock - Unix socket connection

Testing

# Start Redis for testing
docker compose up -d redis

# Run tests
mise run package:test kiarina-lib-redis

# With coverage
mise run package:test kiarina-lib-redis --coverage

Dependencies

License

This project is licensed under the MIT License - see the LICENSE file for details.

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