Skip to main content

A Bytewax connector for Rerun

Project description

Actions Status PyPI Bytewax User Guide

Bytewax

Bytewax Rerun

Modules to make rerun integration easy.

This modules offers a single Sink: RerunSink. This makes it easy to log messages to Rerun from bytewax, properly handling multiple workers. You can instantiate as many sinks as you need, and you have to pass a RerunMessage to them:

op.output("rerun-time-sink", messages_stream, RerunSink("app_id", "recording_id"))

RerunMessage is a helper class that defines an entity that can be logged into Rerun with all the properties needed:

message = RerunMessage(
    entity_path=f"metrics/{name}",
    entity=rr.Scalar(value),
    timeline="metrics",
    time=seconds_since_start,
)

The sink supports all Rerun's operating modes: spawn, connect, save and serve. So you can use the sink to record metrics to a file for each worker, and later use the Rerun viewer to replay all the recordings togheter.

The sink also offers a RerunSink.rerun_log decorator. If you decorate any of your functions with this, Bytewax will log the moment the function was called, and how long it took to run the function into a separate timeline in Rerun. The metrics are divided by worker, so you can see when each one is activated and for how long. You can optionally log the arguments used in each function, so you can see your items flowing through the dataflow.

Setting up the project for development

Install just

We use just as a command runner for actions / recipes related to developing Bytewax. Please follow the installation instructions. There's probably a package for your OS already.

Install pyenv and Python 3.12

I suggest using pyenv to manage python versions. the installation instructions.

You can also use your OS's package manager to get access to different Python versions.

Ensure that you have Python 3.12 installed and available as a "global shim" so that it can be run anywhere. The following will make plain python run your OS-wide interpreter, but will make 3.12 available via python3.12.

$ pyenv global system 3.12

Install uv

We use uv as a virtual environment creator, package installer, and dependency pin-er. There are a few different ways to install it, but I recommend installing it through either brew on macOS or pipx.

Install just

We use just as a command runner for actions / recipes related to developing Bytewax. Please follow the installation instructions. There's probably a package for your OS already.

Development

We have a just recipe that will:

  1. Set up a venv in venvs/dev/.

  2. Install all dependencies into it in a reproducible way.

Start by adding any dependencies that are needed into pyproject.toml or into requirements/dev.in if they are needed for development.

Next, generate the pinned set of dependencies with

> just venv-compile-all

Create and activate a virtual environment

Once you have compiled your dependencies, run the following:

> just get-started

Activate your development environment and run the development task:

> . venvs/dev/bin/activate
> just develop

License

bytewax-rerun is commercially licensed with publicly available source code. You are welcome to prototype using this module for free, but any use on business data requires a paid license. See https://modules.bytewax.io/ for a license. Please see the full details in LICENSE.

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

bytewax_rerun-0.1-py3-none-any.whl (21.1 kB view details)

Uploaded Python 3

File details

Details for the file bytewax_rerun-0.1-py3-none-any.whl.

File metadata

  • Download URL: bytewax_rerun-0.1-py3-none-any.whl
  • Upload date:
  • Size: 21.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for bytewax_rerun-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8aff928061683ef88f33443ce0ce1e784e35b98c611339fae5b2c460cbab545f
MD5 805aa4799b139aaf4416e6975d1ff1ea
BLAKE2b-256 f3ec0cfe71e78a4bdc43215d14011919b447db9f5cd85da930584c6212e7af0d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page