A python tool for synchronizing the messages from different threads, processes, or hosts.

Overview

Sync-stream

This project is designed for providing the synchoronization of the stdout / stderr among different threads, processes, devices or hosts. The package could be used for the following cases:

  1. Use syncstream.LineBuffer: Multiple threads are created. The messages (stdout) from different threads are required to be collected.
  2. Use syncstream.LineProcBuffer in the main process, and syncstream.LineProcMirror in the sub-processes: Multiple sub-processes are created on the same device. The stdout / stderr of each process is redirected to a LineProcMirror, and the results are collected by LineProcBuffer.
  3. Use syncstream.LineFileBuffer: Multiple processes are created. These processes may be deployed on different devices (even with different platforms), but all devices could get accessed to the same shared disk. In this case, the message could be shared by locked files. Each process would hold an independent LineFileBuffer pointing to the same log files.
  4. Use syncstream.LineHostBuffer on the server side, and syncstream.LineHostMirror on the client side: Multiple processes are deployed on different devices, and they could not share the same disk. In this case, the message are synchronized by the web service. Each process would hold a LineHostMirror, and the results would be collected by LineHostBuffer.

The basic package would not contain the file and host modules. To install the package, please use the following options:

pip install syncstream[option1,option2...]
Option Supports
file Install dependencies for the file module. The module provides syncstream.LineFileBuffer.
host Install dependencies for the host module. The module provides syncstream.LineHostBuffer, and syncstream.LineHostMirror.

Documentation

View the documentation here: 📘 https://cainmagi.github.io/sync-stream/

Update reports

0.3.3 @ 6/29/2021

  1. Fix small typos.
  2. Bump the dependencies to the newest versions.

0.3.2 @ 6/14/2021

  1. Fix a bug caused by stopping the mirrors.
  2. Format the meta-data defined in setup.py.
  3. Add the documentation. Currently only the tutorial is finished.

0.3.0 @ 6/4/2021

  1. Support the stop signal for mproc and host modules.
  2. Fix some bugs in the testing script.
  3. Fix typos.

0.2.2 @ 5/25/2021

  1. Add clear() methods for all buffers and mirrors.
  2. Fix typos in the package setup and info file.
  3. Fix a bug caused by writing data to the host in the testing scripts for Linux.

0.2.1 @ 5/24/2021

  1. Add the PyPI publish workflow.

0.2.0 @ 5/24/2021

  1. Finish the synchronization based on the file lock package fasteners.
  2. Finish the synchronization based on the web service packages flask, flask-restful and urllib3.
  3. Fix the compatibility of the testing scripts for py36, py37.

0.1.0 @ 5/22/2021

  1. Finish the synchronization based on the stdlib.
  2. Create this project.
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Releases(0.3.3)
  • 0.3.3(Jun 29, 2021)

    Introduction

    Sync-stream is a pure python tool for synchronizing the messages (including stdout, stderr, and raised exceptions or warnings) among threads, processes, devices, and hosts. This powerful tool is useful for capturing the updating logs from the sub-processes in some projects.

    Updating reports

    0.3.3 @ 6/29/2021

    1. Fix small typos.
    2. Bump the dependencies to the newest versions.
    Source code(tar.gz)
    Source code(zip)
  • 0.3.2(Jun 14, 2021)

    Introduction

    Sync-stream is a pure python tool for synchronizing the messages (including stdout, stderr, and raised exceptions or warnings) among threads, processes, devices, and hosts. This powerful tool is useful for capturing the updating logs from the sub-processes in some projects.

    Updating reports

    0.3.2 @ 6/14/2021

    1. Fix a bug caused by stopping the mirrors.
    2. Format the meta-data defined in setup.py.
    3. Add the documentation. Currently, only the tutorial is finished.
    Source code(tar.gz)
    Source code(zip)
  • 0.3.0(Jun 4, 2021)

    Introduction

    Sync-stream is a pure python tool for synchronizing the messages (including stdout, stderr, and raised exceptions or warnings) among threads, processes, devices, and hosts. This powerful tool is useful for capturing the updating logs from the sub-processes in some projects.

    Updating reports

    0.3.0 @ 6/4/2021

    1. Support the stop signal for mproc and host modules.
    2. Fix some bugs in the testing script.
    3. Fix typos.
    Source code(tar.gz)
    Source code(zip)
  • 0.2.2(May 25, 2021)

    Introduction

    Sync-stream is a pure python tool for synchronizing the messages (including stdout, stderr, and raised exceptions or warnings) among threads, processes, devices, and hosts. This powerful tool is useful for capturing the updating logs from the sub-processes in some projects.

    Updating reports

    0.2.2 @ 5/25/2021

    1. Add clear() methods for all buffers and mirrors.
    2. Fix typos in the package setup and info file.
    3. Fix a bug caused by writing data to the host in the testing scripts for Linux.
    Source code(tar.gz)
    Source code(zip)
  • 0.2.1(May 24, 2021)

    Introduction

    This is the first release of this project. Sync-stream is a pure python tool for synchronizing the messages (including stdout, stderr, and raised exceptions or warnings) among threads, processes, devices, and hosts. This powerful tool is useful for capturing the updating logs from the sub-processes in some projects.

    Updating reports

    0.2.1 @ 5/24/2021

    1. Add the PyPI publish workflow.

    0.2.0 @ 5/24/2021

    1. Finish the synchronization based on the file lock package fasteners.
    2. Finish the synchronization based on the web service packages flask, flask-restful and urllib3.
    3. Fix the compatibility of the testing scripts for py36, py37.

    0.1.0 @ 5/22/2021

    1. Finish the synchronization based on the stdlib.
    2. Create this project.
    Source code(tar.gz)
    Source code(zip)
Owner
Yuchen Jin
A Ph.D student in University of Houston (UH). Interested area includes: machine learning, programming and religion.
Yuchen Jin
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