redis-sdk 1.0.0

Serverless Redis SDK from Khulnasoft

Khulnasoft Redis Python SDK

redis-sdk is a connectionless, HTTP-based Redis client for Python, designed to be used in serverless and serverful environments such as:

• AWS Lambda
• Vercel Serverless
• Google Cloud Functions
• and other environments where HTTP is preferred over TCP.

Inspired by other Redis clients like @khulnasoft/redis and redis-py, the goal of this SDK is to provide a simple way to use Redis over the Khulnasoft REST API.

The SDK is currently compatible with Python 3.8 and above.

• Khulnasoft Redis Python SDK
• Quick Start
  • Install
    • PyPI
  • Usage
    • BITFIELD and BITFIELD_RO
    • Custom commands
• Encoding
• Retry mechanism
• Contributing
  • Preparing the environment
  • Running tests

Quick Start

Install

PyPI

pip install redis-sdk

Usage

To be able to use redis-sdk, you need to create a database on Khulnasoft and grab REDIS_SDK_REST_URL and REDIS_SDK_REST_TOKEN from the console.

# for sync client
from redis_sdk import Redis

redis = Redis(url="REDIS_SDK_REST_URL", token="REDIS_SDK_REST_TOKEN")

# for async client
from redis_sdk.asyncio import Redis

redis = Redis(url="REDIS_SDK_REST_URL", token="REDIS_SDK_REST_TOKEN")

Or, if you want to automatically load the credentials from the environment:

# for sync use
from redis_sdk import Redis
redis = Redis.from_env()

# for async use
from redis_sdk.asyncio import Redis
redis = Redis.from_env()

If you are in a serverless environment that allows it, it's recommended to initialise the client outside the request handler to be reused while your function is still hot.

Running commands might look like this:

from redis_sdk import Redis

redis = Redis.from_env()

def main():
  redis.set("a", "b")
  print(redis.get("a"))

# or for async context:

from redis_sdk.asyncio import Redis

redis = Redis.from_env()

async def main():  
  await redis.set("a", "b")
  print(await redis.get("a"))

BITFIELD and BITFIELD_RO

One particular case is represented by these two chained commands, which are available as functions that return an instance of the BITFIELD and, respectively, BITFIELD_RO classes. Use the execute function to run the commands.

redis.bitfield("test_key") \
  .incrby(encoding="i8", offset=100, increment=100) \
  .overflow("SAT") \
  .incrby(encoding="i8", offset=100, increment=100) \
  .execute()

redis.bitfield_ro("test_key_2") \
  .get(encoding="u8", offset=0) \
  .get(encoding="u8", offset="#1") \
  .execute()

Custom commands

If you want to run a command that hasn't been implemented, you can use the execute function of your client instance and pass the command as a list.

redis.execute(command=["XLEN", "test_stream"])

Encoding

Although Redis can store invalid JSON data, there might be problems with the deserialization. To avoid this, the Khulnasoft REST proxy is capable of encoding the data as base64 on the server and then sending it to the client to be decoded.

For very large data, this can add a few milliseconds in latency. So, if you're sure that your data is valid JSON, you can set rest_encoding to None.

Retry mechanism

redis-sdk has a fallback mechanism in case of network or API issues. By default, if a request fails it'll retry once, 3 seconds after the error. If you want to customize that, set rest_retries and rest_retry_interval (in seconds).

Contributing

Preparing the environment

This project uses Poetry for packaging and dependency management. Make sure you are able to create the poetry shell with relevant dependencies.

You will also need a database on Khulnasoft.

Running tests

To run all the tests, make sure the poetry virtual environment activated with all the necessary dependencies. Set the REDIS_SDK_REST_URL and REDIS_SDK_REST_TOKEN environment variables and run:

poetry run pytest