protobuf/python
2017-07-19 13:55:58 -07:00
..
compatibility_tests/v2.5.0 Merge from Google internal for 3.4 release 2017-07-18 15:38:30 -07:00
google Use itmes() instead of itervalues() to be python3 compatbile. 2017-07-19 13:55:58 -07:00
release/wheel Add scripts to build python wheel for linux. (#2693) 2017-06-28 15:22:19 -07:00
MANIFEST.in Noramlize 'setup.py' to fit conventions: 2015-05-06 17:02:57 -04:00
mox.py typo fixes - https://github.com/vlajos/misspell_fixer 2014-11-08 22:59:34 +00:00
README.md Fix Markdown formatting in README. 2017-05-23 10:39:40 -04:00
release.sh Merge from Google internal for 3.4 release 2017-07-18 15:38:30 -07:00
setup.cfg add setup.cfg for building wheels 2016-07-29 14:02:07 -07:00
setup.py Prefer the term "3-Clause BSD License" over "New BSD License" 2017-02-28 09:58:24 +01:00
stubout.py Initial checkin. 2008-07-10 02:12:20 +00:00
tox.ini Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION for pure python comformance test 2017-07-17 14:34:54 -07:00

Protocol Buffers - Google's data interchange format

Build Status

Copyright 2008 Google Inc.

This directory contains the Python Protocol Buffers runtime library.

Normally, this directory comes as part of the protobuf package, available from:

https://developers.google.com/protocol-buffers/

The complete package includes the C++ source code, which includes the Protocol Compiler (protoc). If you downloaded this package from PyPI or some other Python-specific source, you may have received only the Python part of the code. In this case, you will need to obtain the Protocol Compiler from some other source before you can use this package.

Development Warning

The Python implementation of Protocol Buffers is not as mature as the C++ and Java implementations. It may be more buggy, and it is known to be pretty slow at this time. If you would like to help fix these issues, join the Protocol Buffers discussion list and let us know!

Installation

  1. Make sure you have Python 2.6 or newer. If in doubt, run:

    $ python -V
    
  2. If you do not have setuptools installed, note that it will be downloaded and installed automatically as soon as you run setup.py. If you would rather install it manually, you may do so by following the instructions on this page.

  3. Build the C++ code, or install a binary distribution of protoc. If you install a binary distribution, make sure that it is the same version as this package. If in doubt, run:

    $ protoc --version
    
  4. Build and run the tests:

    $ python setup.py build
    $ python setup.py test
    

    To build, test, and use the C++ implementation, you must first compile libprotobuf.so:

    $ (cd .. && make)
    

    On OS X:

    If you are running a Homebrew-provided Python, you must make sure another version of protobuf is not already installed, as Homebrew's Python will search /usr/local/lib for libprotobuf.so before it searches ../src/.libs.

    You can either unlink Homebrew's protobuf or install the libprotobuf you built earlier:

    $ brew unlink protobuf
    

    or

    $ (cd .. && make install)
    

    On other *nix:

    You must make libprotobuf.so dynamically available. You can either install libprotobuf you built earlier, or set LD_LIBRARY_PATH:

    $ export LD_LIBRARY_PATH=../src/.libs
    

    or

    $ (cd .. && make install)
    

    To build the C++ implementation run:

    $ python setup.py build --cpp_implementation
    

    Then run the tests like so:

    $ python setup.py test --cpp_implementation
    

    If some tests fail, this library may not work correctly on your system. Continue at your own risk.

    Please note that there is a known problem with some versions of Python on Cygwin which causes the tests to fail after printing the error: sem_init: Resource temporarily unavailable. This appears to be a bug either in Cygwin or in Python.

    We do not know if or when it might be fixed. We also do not know how likely it is that this bug will affect users in practice.

  5. Install:

    $ python setup.py install
    

    or:

    $ (cd .. && make install)
    $ python setup.py install --cpp_implementation
    

    This step may require superuser privileges. NOTE: To use C++ implementation, you need to export an environment variable before running your program. See the "C++ Implementation" section below for more details.

Usage

The complete documentation for Protocol Buffers is available via the web at:

https://developers.google.com/protocol-buffers/

C++ Implementation

The C++ implementation for Python messages is built as a Python extension to improve the overall protobuf Python performance.

To use the C++ implementation, you need to install the C++ protobuf runtime library, please see instructions in the parent directory.