Metadata-Version: 2.1
Name: upstash-redis
Version: 0.14.5
Summary: Serverless Redis Sdk from Upstash
Author: Upstash
Author-email: support@upstash.com
Requires-Python: >=3.8,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: aiohttp (>=3.8.4,<4.0.0)
Requires-Dist: pytest (>=7.3.0,<8.0.0)
Requires-Dist: pytest-asyncio (>=0.21.0,<0.22.0)
Requires-Dist: requests (>=2.31.0,<3.0.0)
Requires-Dist: urllib3 (>=1.26.6,<2.0)
Description-Content-Type: text/markdown

# Upstash Redis - python edition

upstash-redis 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 [@upstash/redis](https://github.com/upstash/upstash-redis) and [redis-py](https://github.com/redis/redis-py),
the goal of this SDK is to provide a simple way to use Redis in HTTP-based environments.

The SDK is currently compatible with python 3.8 and above.

<!-- toc -->

- [Upstash Redis - python edition](#upstash-redis---python-edition)
- [Quick Start](#quick-start)
  - [Install](#install)
    - [PyPi](#pypi)
  - [Usage](#usage)
    - [BITFIELD and BITFIELD\_RO](#bitfield-and-bitfield_ro)
    - [Custom commands](#custom-commands)
- [Encoding](#encoding)
- [Retry mechanism](#retry-mechanism)
- [Formatting returns](#formatting-returns)
- [Contributing](#contributing)
  - [Preparing the environment](#preparing-the-environment)
  - [Running tests](#running-tests)

<!-- tocstop -->

# Quick Start

## Install

### PyPi
```bash
pip install upstash-redis
```


## Usage
To be able to use upstash-redis, you need to create a database on [Upstash](https://console.upstash.com/)
and grab `UPSTASH_REDIS_REST_URL` and `UPSTASH_REDIS_REST_TOKEN` from the console.

```python
# In this method, you can also give specific parameters for the Redis instance instance, such as rest_retries and so on

# for sync client
from upstash_redis import Redis
redis = Redis(url="UPSTASH_REDIS_REST_URL", token="UPSTASH_REDIS_REST_TOKEN")

# for async client
from upstash_redis.asyncio import Redis

redis = Redis(url="UPSTASH_REDIS_REST_URL", token="UPSTASH_REDIS_REST_TOKEN")
```

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

```python
# for sync use
from upstash_redis import Redis
redis = Redis.from_env()

# for async use
from upstash_redis.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:

```python
from upstash_redis import Redis
redis = Redis.from_env()

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

# or for async context:

from upstash_redis.asyncio import Redis
redis = Redis.from_env()

async def main():
  async with redis:
    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.

```python
    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 `run` function of your client instance
and pass the command as `list`

```python
redis.run(command=["XLEN", "test_stream"])
```

If you want to have more control over your session management or need to use multiple custom values, use
the [sync_execute](./upstash_redis/http/execute.py) function directly.



# Encoding
Although Redis can store invalid JSON data, there might be problems with the deserialization.
To avoid this, the Upstash 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 `False`.


# Retry mechanism
upstash-redis 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).


# Formatting returns
The SDK relies on the Upstash REST proxy, which returns the `RESP2` responses of the given commands.
By default, we apply formatting to some of them to provide a better developer experience.
If you want the commands to output the raw return, set `format_return` to `False`.

You can also opt out of individual commands:

```python
redis.format_return = False

print(redis.copy(source="source_string", destination="destination_string"))

redis.format_return = True
```


# Contributing

## Preparing the environment
This project uses [Poetry](https://python-poetry.org) 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 [Upstash](https://console.upstash.com/).

## Running tests
To run all the tests, make sure the poetry virtual environment activated with all 
the necessary dependencies. Set the `UPSTASH_REDIS_REST_URL` and `UPSTASH_REDIS_REST_TOKEN` environment variables and run:

```bash
poetry run pytest
```
