2018-10-03 21:09:40 +00:00
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.. _intro:
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Introduction
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============
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+-----------------------------------+-----------------------------------+
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| Version: | 0.1.4 |
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+-----------------------------------+-----------------------------------+
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2018-11-22 09:00:12 +00:00
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| GPGME Version: | 1.12.1 |
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2018-10-03 21:09:40 +00:00
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+-----------------------------------+-----------------------------------+
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| Author: | `Ben |
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| | McGinnes <https://gnupg.org/peopl |
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| | e/index.html#sec-1-5>`__ |
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| | <ben@gnupg.org> |
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+-----------------------------------+-----------------------------------+
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| Author GPG Key: | DB4724E6FA4286C92B4E55C4321E4E237 |
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| | 3590E5D |
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+-----------------------------------+-----------------------------------+
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| Language: | Australian English, British |
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| | English |
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+-----------------------------------+-----------------------------------+
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2018-11-22 09:00:12 +00:00
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| Language codes: | en-AU, en-GB, en |
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2018-10-03 21:09:40 +00:00
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+-----------------------------------+-----------------------------------+
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This document provides basic instruction in how to use the GPGME Python
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bindings to programmatically leverage the GPGME library.
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.. _py2-vs-py3:
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Python 2 versus Python 3
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------------------------
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Though the GPGME Python bindings themselves provide support for both
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Python 2 and 3, the focus is unequivocally on Python 3 and specifically
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from Python 3.4 and above. As a consequence all the examples and
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instructions in this guide use Python 3 code.
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Much of it will work with Python 2, but much of it also deals with
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Python 3 byte literals, particularly when reading and writing data.
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Developers concentrating on Python 2.7, and possibly even 2.6, will need
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to make the appropriate modifications to support the older string and
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unicode types as opposed to bytes.
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There are multiple reasons for concentrating on Python 3; some of which
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relate to the immediate integration of these bindings, some of which
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relate to longer term plans for both GPGME and the python bindings and
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some of which relate to the impending EOL period for Python 2.7.
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Essentially, though, there is little value in tying the bindings to a
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version of the language which is a dead end and the advantages offered
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by Python 3 over Python 2 make handling the data types with which GPGME
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deals considerably easier.
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.. _howto-python3-examples:
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Examples
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--------
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All of the examples found in this document can be found as Python 3
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scripts in the ``lang/python/examples/howto`` directory.
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Unofficial Drafts
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-----------------
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In addition to shipping with each release of GPGME, there is a section
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on locations to read or download `draft editions <#draft-editions>`__ of
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this document from at the end of it. These are unofficial versions
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produced in between major releases.
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.. _new-stuff:
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What\'s New
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-----------
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2018-11-06 05:22:50 +00:00
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Full details of what is new are now available in the `What\'s
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New <what-is-new.org>`__ file and archives of the preceding *What\'s
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New* sections are available in the `What Was New <what-was-new>`__ file.
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.. _new-stuff-1-13-0:
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New in GPGME 1·13·0
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~~~~~~~~~~~~~~~~~~~
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See the `What\'s New <what-is-new#new-stuff-1-13-0>`__ document for what
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is new in version 1.13.0.
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2018-10-03 21:09:40 +00:00
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.. _new-stuff-1-12-0:
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New in GPGME 1·12·0
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~~~~~~~~~~~~~~~~~~~
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2018-11-06 05:22:50 +00:00
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See the `What Was New <what-was-new#new-stuff-1-12-0>`__ document for
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what was new in version 1.12.0.
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2018-10-03 21:09:40 +00:00
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GPGME Concepts
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==============
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.. _gpgme-c-api:
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A C API
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-------
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Unlike many modern APIs with which programmers will be more familiar
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with these days, the GPGME API is a C API. The API is intended for use
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by C coders who would be able to access its features by including the
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``gpgme.h`` header file with their own C source code and then access its
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functions just as they would any other C headers.
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This is a very effective method of gaining complete access to the API
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and in the most efficient manner possible. It does, however, have the
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drawback that it cannot be directly used by other languages without some
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means of providing an interface to those languages. This is where the
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need for bindings in various languages stems.
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.. _gpgme-python-bindings:
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Python bindings
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---------------
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The Python bindings for GPGME provide a higher level means of accessing
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the complete feature set of GPGME itself. It also provides a more
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pythonic means of calling these API functions.
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The bindings are generated dynamically with SWIG and the copy of
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``gpgme.h`` generated when GPGME is compiled.
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This means that a version of the Python bindings is fundamentally tied
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to the exact same version of GPGME used to generate that copy of
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``gpgme.h``.
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.. _gpgme-python-bindings-diffs:
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Difference between the Python bindings and other GnuPG Python packages
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----------------------------------------------------------------------
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There have been numerous attempts to add GnuPG support to Python over
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the years. Some of the most well known are listed here, along with what
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differentiates them.
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.. _diffs-python-gnupg:
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The python-gnupg package maintained by Vinay Sajip
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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This is arguably the most popular means of integrating GPG with Python.
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The package utilises the ``subprocess`` module to implement wrappers for
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the ``gpg`` and ``gpg2`` executables normally invoked on the command
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line (``gpg.exe`` and ``gpg2.exe`` on Windows).
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The popularity of this package stemmed from its ease of use and
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capability in providing the most commonly required features.
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Unfortunately it has been beset by a number of security issues in the
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past; most of which stemmed from using unsafe methods of accessing the
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command line via the ``subprocess`` calls. While some effort has been
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made over the last two to three years (as of 2018) to mitigate this,
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particularly by no longer providing shell access through those
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subprocess calls, the wrapper is still somewhat limited in the scope of
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its GnuPG features coverage.
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The python-gnupg package is available under the MIT license.
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.. _diffs-isis-gnupg:
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The gnupg package created and maintained by Isis Lovecruft
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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In 2015 Isis Lovecruft from the Tor Project forked and then
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re-implemented the python-gnupg package as just gnupg. This new package
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also relied on subprocess to call the ``gpg`` or ``gpg2`` binaries, but
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did so somewhat more securely.
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The naming and version numbering selected for this package, however,
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resulted in conflicts with the original python-gnupg and since its
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functions were called in a different manner to python-gnupg, the release
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of this package also resulted in a great deal of consternation when
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people installed what they thought was an upgrade that subsequently
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broke the code relying on it.
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The gnupg package is available under the GNU General Public License
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version 3.0 (or any later version).
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.. _diffs-pyme:
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The PyME package maintained by Martin Albrecht
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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This package is the origin of these bindings, though they are somewhat
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different now. For details of when and how the PyME package was folded
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2018-10-04 16:30:20 +00:00
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back into GPGME itself see the `Short History <short-history.org>`__
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document. [1]_
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2018-10-03 21:09:40 +00:00
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The PyME package was first released in 2002 and was also the first
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attempt to implement a low level binding to GPGME. In doing so it
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provided access to considerably more functionality than either the
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``python-gnupg`` or ``gnupg`` packages.
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The PyME package is only available for Python 2.6 and 2.7.
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Porting the PyME package to Python 3.4 in 2015 is what resulted in it
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being folded into the GPGME project and the current bindings are the end
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result of that effort.
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The PyME package is available under the same dual licensing as GPGME
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itself: the GNU General Public License version 2.0 (or any later
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version) and the GNU Lesser General Public License version 2.1 (or any
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later version).
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.. _gpgme-python-install:
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GPGME Python bindings installation
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==================================
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.. _do-not-use-pypi:
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No PyPI
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-------
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Most third-party Python packages and modules are available and
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distributed through the Python Package Installer, known as PyPI.
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Due to the nature of what these bindings are and how they work, it is
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infeasible to install the GPGME Python bindings in the same way.
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This is because the bindings use SWIG to dynamically generate C bindings
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against ``gpgme.h`` and ``gpgme.h`` is generated from ``gpgme.h.in`` at
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compile time when GPGME is built from source. Thus to include a package
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in PyPI which actually built correctly would require either statically
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built libraries for every architecture bundled with it or a full
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implementation of C for each architecture.
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See the additional notes regarding `CFFI and SWIG <#snafu-cffi>`__ at
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the end of this section for further details.
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.. _gpgme-python-requirements:
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Requirements
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------------
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The GPGME Python bindings only have three requirements:
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#. A suitable version of Python 2 or Python 3. With Python 2 that means
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CPython 2.7 and with Python 3 that means CPython 3.4 or higher.
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#. `SWIG <https://www.swig.org>`__.
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#. GPGME itself. Which also means that all of GPGME\'s dependencies must
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be installed too.
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.. _gpgme-python-recommendations:
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Recommended Additions
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~~~~~~~~~~~~~~~~~~~~~
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Though none of the following are absolute requirements, they are all
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recommended for use with the Python bindings. In some cases these
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recommendations refer to which version(s) of CPython to use the bindings
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with, while others refer to third party modules which provide a
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significant advantage in some way.
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#. If possible, use Python 3 instead of 2.
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#. Favour a more recent version of Python since even 3.4 is due to reach
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EOL soon. In production systems and services, Python 3.6 should be
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robust enough to be relied on.
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#. If possible add the following Python modules which are not part of
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the standard library:
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`Requests <http://docs.python-requests.org/en/latest/index.html>`__,
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2018-11-26 02:19:34 +00:00
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`Cython <https://cython.org/>`__,
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`Pendulum <https://pendulum.eustace.io/>`__ and
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`hkp4py <https://github.com/Selfnet/hkp4py>`__.
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2018-10-03 21:09:40 +00:00
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2018-11-26 02:19:34 +00:00
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Chances are quite high that at least the first one and maybe two of
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those will already be installed.
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Note that, as with Cython, some of advanced use case scenarios will
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bring with them additional requirements. Most of these will be fairly
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well known and commonly installed ones, however, which are in many cases
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likely to have already been installed on many systems or be familiar to
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Python programmers.
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2018-10-03 21:09:40 +00:00
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Installation
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------------
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Installing the Python bindings is effectively achieved by compiling and
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installing GPGME itself.
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Once SWIG is installed with Python and all the dependencies for GPGME
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are installed you only need to confirm that the version(s) of Python you
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want the bindings installed for are in your ``$PATH``.
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By default GPGME will attempt to install the bindings for the most
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recent or highest version number of Python 2 and Python 3 it detects in
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``$PATH``. It specifically checks for the ``python`` and ``python3``
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executables first and then checks for specific version numbers.
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For Python 2 it checks for these executables in this order: ``python``,
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``python2`` and ``python2.7``.
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For Python 3 it checks for these executables in this order: ``python3``,
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2018-10-04 16:30:20 +00:00
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``python3.7``, ``python3.6``, ``python3.5`` and ``python3.4``. [2]_
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2018-10-03 21:09:40 +00:00
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On systems where ``python`` is actually ``python3`` and not ``python2``
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it may be possible that ``python2`` may be overlooked, but there have
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been no reports of that actually occurring as yet.
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In the three months or so since the release of Python 3.7.0 there has
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been extensive testing and work with these bindings with no issues
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specifically relating to the new version of Python or any of the new
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features of either the language or the bindings. This has also been the
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case with Python 3.7.1rc1. With that in mind and given the release of
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Python 3.7.1 is scheduled for around the same time as GPGME 1.12.0, the
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order of preferred Python versions has been changed to move Python 3.7
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ahead of Python 3.6.
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.. _install-gpgme:
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Installing GPGME
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~~~~~~~~~~~~~~~~
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See the GPGME ``README`` file for details of how to install GPGME from
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source.
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.. _snafu:
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Known Issues
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------------
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There are a few known issues with the current build process and the
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Python bindings. For the most part these are easily addressed should
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they be encountered.
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.. _snafu-a-swig-of-this-builds-character:
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Breaking Builds
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~~~~~~~~~~~~~~~
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Occasionally when installing GPGME with the Python bindings included it
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may be observed that the ``make`` portion of that process induces a
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large very number of warnings and, eventually errors which end that part
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of the build process. Yet following that with ``make check`` and
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``make install`` appears to work seamlessly.
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The cause of this is related to the way SWIG needs to be called to
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dynamically generate the C bindings for GPGME in the first place. So the
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entire process will always produce ``lang/python/python2-gpg/`` and
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``lang/python/python3-gpg/`` directories. These should contain the build
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output generated during compilation, including the complete bindings and
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module installed into ``site-packages``.
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Occasionally the errors in the early part or some other conflict (e.g.
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not installing as **root** or **su**) may result in nothing being
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installed to the relevant ``site-packages`` directory and the build
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directory missing a lot of expected files. Even when this occurs, the
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solution is actually quite simple and will always work.
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That solution is simply to run the following commands as either the
|
2018-10-04 16:30:20 +00:00
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**root** user or prepended with ``sudo -H``\ [3]_ in the
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2018-10-03 21:09:40 +00:00
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``lang/python/`` directory:
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.. code:: shell
|
|
|
|
|
|
|
|
/path/to/pythonX.Y setup.py build
|
|
|
|
/path/to/pythonX.Y setup.py build
|
|
|
|
/path/to/pythonX.Y setup.py install
|
|
|
|
|
|
|
|
Yes, the build command does need to be run twice. Yes, you still need to
|
|
|
|
run the potentially failing or incomplete steps during the
|
|
|
|
``configure``, ``make`` and ``make install`` steps with installing
|
|
|
|
GPGME. This is because those steps generate a lot of essential files
|
|
|
|
needed, both by and in order to create, the bindings (including both the
|
|
|
|
``setup.py`` and ``gpgme.h`` files).
|
|
|
|
|
|
|
|
#. IMPORTANT Note
|
|
|
|
|
|
|
|
If specifying a selected number of languages to create bindings for,
|
|
|
|
try to leave Python last. Currently the majority of the other
|
|
|
|
language bindings are also preceding Python of either version when
|
|
|
|
listed alphabetically and so that just happens by default currently.
|
|
|
|
|
|
|
|
If Python is set to precede one of the other languages then it is
|
|
|
|
possible that the errors described here may interrupt the build
|
|
|
|
process before generating bindings for those other languages. In
|
|
|
|
these cases it may be preferable to configure all preferred language
|
|
|
|
bindings separately with alternative ``configure`` steps for GPGME
|
|
|
|
using the ``--enable-languages=$LANGUAGE`` option.
|
|
|
|
|
|
|
|
.. _snafu-lessons-for-the-lazy:
|
|
|
|
|
|
|
|
Reinstalling Responsibly
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Regardless of whether you\'re installing for one version of Python or
|
|
|
|
several, there will come a point where reinstallation is required. With
|
|
|
|
most Python module installations, the installed files go into the
|
|
|
|
relevant site-packages directory and are then forgotten about. Then the
|
|
|
|
module is upgraded, the new files are copied over the old and that\'s
|
|
|
|
the end of the matter.
|
|
|
|
|
|
|
|
While the same is true of these bindings, there have been intermittent
|
|
|
|
issues observed on some platforms which have benefited significantly
|
|
|
|
from removing all the previous installations of the bindings before
|
|
|
|
installing the updated versions.
|
|
|
|
|
|
|
|
Removing the previous version(s) is simply a matter of changing to the
|
|
|
|
relevant ``site-packages`` directory for the version of Python in
|
|
|
|
question and removing the ``gpg/`` directory and any accompanying
|
|
|
|
egg-info files for that module.
|
|
|
|
|
|
|
|
In most cases this will require root or administration privileges on the
|
|
|
|
system, but the same is true of installing the module in the first
|
|
|
|
place.
|
|
|
|
|
|
|
|
.. _snafu-the-full-monty:
|
|
|
|
|
|
|
|
Multiple installations
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
2018-11-06 05:22:50 +00:00
|
|
|
For a variety of reasons it may be either necessary or just preferable
|
2018-10-03 21:09:40 +00:00
|
|
|
to install the bindings to alternative installed Python versions which
|
|
|
|
meet the requirements of these bindings.
|
|
|
|
|
|
|
|
On POSIX systems this will generally be most simply achieved by running
|
|
|
|
the manual installation commands (build, build, install) as described in
|
|
|
|
the previous section for each Python installation the bindings need to
|
|
|
|
be installed to.
|
|
|
|
|
|
|
|
As per the SWIG documentation: the compilers, libraries and runtime used
|
|
|
|
to build GPGME and the Python Bindings **must** match those used to
|
|
|
|
compile Python itself, including the version number(s) (at least going
|
|
|
|
by major version numbers and probably minor numbers too).
|
|
|
|
|
|
|
|
On most POSIX systems, including OS X, this will very likely be the case
|
|
|
|
in most, if not all, cases.
|
|
|
|
|
2018-11-06 05:22:50 +00:00
|
|
|
Note that from GPGME
|
|
|
|
`1.12.1 <https://dev.gnupg.org/rMff6ff616aea6f59b7f2ce1176492850ecdf3851e>`__
|
|
|
|
the default installation installs to each version of Python it can find
|
|
|
|
first. That is that it will currently install for the first copies of
|
|
|
|
Python versions 2.7, 3.4, 3.5, 3.6, 3.7 and 3.8 (dev branch) that it
|
|
|
|
finds. Usually this will be in the same prefix as GPGME itself, but is
|
|
|
|
dictated by the ``$PATH`` when the installation is performed. The above
|
|
|
|
instructions can still be performed on other python installations which
|
|
|
|
the installer does not find, including alternative prefixes.
|
|
|
|
|
2018-10-03 21:09:40 +00:00
|
|
|
.. _snafu-runtime-not-funtime:
|
|
|
|
|
|
|
|
Won\'t Work With Windows
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
There are semi-regular reports of Windows users having considerable
|
|
|
|
difficulty in installing and using the Python bindings at all. Very
|
|
|
|
often, possibly even always, these reports come from Cygwin users and/or
|
|
|
|
MinGW users and/or Msys2 users. Though not all of them have been
|
|
|
|
confirmed, it appears that these reports have also come from people who
|
|
|
|
installed Python using the Windows installer files from the `Python
|
|
|
|
website <https://python.org>`__ (i.e. mostly MSI installers, sometimes
|
|
|
|
self-extracting ``.exe`` files).
|
|
|
|
|
|
|
|
The Windows versions of Python are not built using Cygwin, MinGW or
|
|
|
|
Msys2; they\'re built using Microsoft Visual Studio. Furthermore the
|
|
|
|
version used is *considerably* more advanced than the version which
|
|
|
|
MinGW obtained a small number of files from many years ago in order to
|
|
|
|
be able to compile anything at all. Not only that, but there are changes
|
|
|
|
to the version of Visual Studio between some micro releases, though that
|
|
|
|
is is particularly the case with Python 2.7, since it has been kept
|
|
|
|
around far longer than it should have been.
|
|
|
|
|
|
|
|
There are two theoretical solutions to this issue:
|
|
|
|
|
|
|
|
#. Compile and install the GnuPG stack, including GPGME and the Python
|
|
|
|
bibdings using the same version of Microsoft Visual Studio used by
|
|
|
|
the Python Foundation to compile the version of Python installed.
|
|
|
|
|
|
|
|
If there are multiple versions of Python then this will need to be
|
|
|
|
done with each different version of Visual Studio used.
|
|
|
|
|
|
|
|
#. Compile and install Python using the same tools used by choice, such
|
|
|
|
as MinGW or Msys2.
|
|
|
|
|
|
|
|
Do **not** use the official Windows installer for Python unless
|
|
|
|
following the first method.
|
|
|
|
|
|
|
|
In this type of situation it may even be for the best to accept that
|
|
|
|
there are less limitations on permissive software than free software and
|
|
|
|
simply opt to use a recent version of the Community Edition of Microsoft
|
|
|
|
Visual Studio to compile and build all of it, no matter what.
|
|
|
|
|
|
|
|
Investigations into the extent or the limitations of this issue are
|
|
|
|
ongoing.
|
|
|
|
|
|
|
|
.. _snafu-cffi:
|
|
|
|
|
|
|
|
CFFI is the Best™ and GPGME should use it instead of SWIG
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
There are many reasons for favouring
|
|
|
|
`CFFI <https://cffi.readthedocs.io/en/latest/overview.html>`__ and
|
|
|
|
proponents of it are quite happy to repeat these things as if all it
|
|
|
|
would take to switch from SWIG to CFFI is repeating that list as if it
|
|
|
|
were a new concept.
|
|
|
|
|
|
|
|
The fact is that there are things which Python\'s CFFI implementation
|
|
|
|
cannot handle in the GPGME C code. Beyond that there are features of
|
|
|
|
SWIG which are simply not available with CFFI at all. SWIG generates the
|
|
|
|
bindings to Python using the ``gpgme.h`` file, but that file is not a
|
|
|
|
single version shipped with each release, it too is generated when GPGME
|
|
|
|
is compiled.
|
|
|
|
|
|
|
|
CFFI is currently unable to adapt to such a potentially mutable
|
|
|
|
codebase. If there were some means of applying SWIG\'s dynamic code
|
|
|
|
generation to produce the Python/CFFI API modes of accessing the GPGME
|
|
|
|
libraries (or the source source code directly), but such a thing does
|
|
|
|
not exist yet either and it currently appears that work is needed in at
|
|
|
|
least one of CFFI\'s dependencies before any of this can be addressed.
|
|
|
|
|
|
|
|
So if you\'re a massive fan of CFFI; that\'s great, but if you want this
|
|
|
|
project to switch to CFFI then rather than just insisting that it
|
|
|
|
should, I\'d suggest you volunteer to bring CFFI up to the level this
|
|
|
|
project needs.
|
|
|
|
|
|
|
|
If you\'re actually seriously considering doing so, then I\'d suggest
|
|
|
|
taking the ``gpgme-tool.c`` file in the GPGME ``src/`` directory and
|
|
|
|
getting that to work with any of the CFFI API methods (not the ABI
|
|
|
|
methods, they\'ll work with pretty much anything). When you start
|
|
|
|
running into trouble with \"ifdefs\" then you\'ll know what sort of
|
|
|
|
things are lacking. That doesn\'t even take into account the amount of
|
|
|
|
work saved via SWIG\'s code generation techniques either.
|
|
|
|
|
|
|
|
.. _snafu-venv:
|
|
|
|
|
|
|
|
Virtualised Environments
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
It is fairly common practice amongst Python developers to, as much as
|
|
|
|
possible, use packages like virtualenv to keep various things that are
|
|
|
|
to be installed from interfering with each other. Given how much of the
|
|
|
|
GPGME bindings is often at odds with the usual pythonic way of doing
|
|
|
|
things, it stands to reason that this would be called into question too.
|
|
|
|
|
|
|
|
As it happens the answer as to whether or not the bindings can be used
|
|
|
|
with virtualenv, the answer is both yes and no.
|
|
|
|
|
|
|
|
In general we recommend installing to the relevant path and matching
|
|
|
|
prefix of GPGME itself. Which means that when GPGME, and ideally the
|
|
|
|
rest of the GnuPG stack, is installed to a prefix like ``/usr/local`` or
|
|
|
|
``/opt/local`` then the bindings would need to be installed to the main
|
|
|
|
Python installation and not a virtualised abstraction. Attempts to
|
|
|
|
separate the two in the past have been known to cause weird and
|
|
|
|
intermittent errors ranging from minor annoyances to complete failures
|
|
|
|
in the build process.
|
|
|
|
|
|
|
|
As a consequence we only recommend building with and installing to the
|
|
|
|
main Python installations within the same prefix as GPGME is installed
|
|
|
|
to or which are found by GPGME\'s configuration stage immediately prior
|
|
|
|
to running the make commands. Which is exactly what the compiling and
|
|
|
|
installing process of GPGME does by default.
|
|
|
|
|
2018-11-06 05:22:50 +00:00
|
|
|
Once that is done, however, it appears that a copy of the compiled
|
|
|
|
module may be installed into a virtualenv of the same major and minor
|
|
|
|
version matching the build. Alternatively it is possible to utilise a
|
|
|
|
``sites.pth`` file in the ``site-packages/`` directory of a virtualenv
|
2018-10-03 21:09:40 +00:00
|
|
|
installation, which links back to the system installations corresponding
|
|
|
|
directory in order to import anything installed system wide. This may or
|
|
|
|
may not be appropriate on a case by case basis.
|
|
|
|
|
|
|
|
Though extensive testing of either of these options is not yet complete,
|
|
|
|
preliminary testing of them indicates that both are viable as long as
|
|
|
|
the main installation is complete. Which means that certain other
|
|
|
|
options normally restricted to virtual environments are also available,
|
|
|
|
including integration with pythonic test suites (e.g.
|
|
|
|
`pytest <https://docs.pytest.org/en/latest/index.html>`__) and other
|
|
|
|
large projects.
|
|
|
|
|
|
|
|
That said, it is worth reiterating the warning regarding non-standard
|
|
|
|
installations. If one were to attempt to install the bindings only to a
|
|
|
|
virtual environment without somehow also including the full GnuPG stack
|
|
|
|
(or enough of it as to include GPGME) then it is highly likely that
|
|
|
|
errors would be encountered at some point and more than a little likely
|
|
|
|
that the build process itself would break.
|
|
|
|
|
|
|
|
If a degree of separation from the main operating system is still
|
|
|
|
required in spite of these warnings, then consider other forms of
|
|
|
|
virtualisation. Either a virtual machine (e.g.
|
|
|
|
`VirtualBox <https://www.virtualbox.org/>`__), a hardware emulation
|
|
|
|
layer (e.g. `QEMU <https://www.qemu.org/>`__) or an application
|
|
|
|
container (e.g. `Docker <https://www.docker.com/why-docker>`__).
|
|
|
|
|
|
|
|
Finally it should be noted that the limited tests conducted thus far
|
|
|
|
have been using the ``virtualenv`` command in a new directory to create
|
|
|
|
the virtual python environment. As opposed to the standard ``python3
|
|
|
|
-m venv`` and it is possible that this will make a difference depending
|
|
|
|
on the system and version of Python in use. Another option is to run the
|
|
|
|
command ``python3 -m virtualenv /path/to/install/virtual/thingy``
|
|
|
|
instead.
|
|
|
|
|
|
|
|
.. _howto-fund-a-mental:
|
|
|
|
|
|
|
|
Fundamentals
|
|
|
|
============
|
|
|
|
|
|
|
|
Before we can get to the fun stuff, there are a few matters regarding
|
|
|
|
GPGME\'s design which hold true whether you\'re dealing with the C code
|
|
|
|
directly or these Python bindings.
|
|
|
|
|
|
|
|
.. _no-rest-for-the-wicked:
|
|
|
|
|
|
|
|
No REST
|
|
|
|
-------
|
|
|
|
|
|
|
|
The first part of which is or will be fairly blatantly obvious upon
|
|
|
|
viewing the first example, but it\'s worth reiterating anyway. That
|
|
|
|
being that this API is **not** a REST API. Nor indeed could it ever be
|
|
|
|
one.
|
|
|
|
|
|
|
|
Most, if not all, Python programmers (and not just Python programmers)
|
|
|
|
know how easy it is to work with a RESTful API. In fact they\'ve become
|
|
|
|
so popular that many other APIs attempt to emulate REST-like behaviour
|
|
|
|
as much as they are able. Right down to the use of JSON formatted output
|
|
|
|
to facilitate the use of their API without having to retrain developers.
|
|
|
|
|
|
|
|
This API does not do that. It would not be able to do that and also
|
|
|
|
provide access to the entire C API on which it\'s built. It does,
|
|
|
|
however, provide a very pythonic interface on top of the direct bindings
|
|
|
|
and it\'s this pythonic layer that this HOWTO deals with.
|
|
|
|
|
|
|
|
.. _howto-get-context:
|
|
|
|
|
|
|
|
Context
|
|
|
|
-------
|
|
|
|
|
|
|
|
One of the reasons which prevents this API from being RESTful is that
|
|
|
|
most operations require more than one instruction to the API to perform
|
|
|
|
the task. Sure, there are certain functions which can be performed
|
|
|
|
simultaneously, particularly if the result known or strongly anticipated
|
|
|
|
(e.g. selecting and encrypting to a key known to be in the public
|
|
|
|
keybox).
|
|
|
|
|
|
|
|
There are many more, however, which cannot be manipulated so readily:
|
|
|
|
they must be performed in a specific sequence and the result of one
|
|
|
|
operation has a direct bearing on the outcome of subsequent operations.
|
|
|
|
Not merely by generating an error either.
|
|
|
|
|
|
|
|
When dealing with this type of persistent state on the web, full of both
|
|
|
|
the RESTful and REST-like, it\'s most commonly referred to as a session.
|
|
|
|
In GPGME, however, it is called a context and every operation type has
|
|
|
|
one.
|
|
|
|
|
|
|
|
.. _howto-keys:
|
|
|
|
|
|
|
|
Working with keys
|
|
|
|
=================
|
|
|
|
|
|
|
|
.. _howto-keys-selection:
|
|
|
|
|
|
|
|
Key selection
|
|
|
|
-------------
|
|
|
|
|
|
|
|
Selecting keys to encrypt to or to sign with will be a common occurrence
|
|
|
|
when working with GPGMe and the means available for doing so are quite
|
|
|
|
simple.
|
|
|
|
|
|
|
|
They do depend on utilising a Context; however once the data is recorded
|
|
|
|
in another variable, that Context does not need to be the same one which
|
|
|
|
subsequent operations are performed.
|
|
|
|
|
|
|
|
The easiest way to select a specific key is by searching for that key\'s
|
|
|
|
key ID or fingerprint, preferably the full fingerprint without any
|
|
|
|
spaces in it. A long key ID will probably be okay, but is not advised
|
|
|
|
and short key IDs are already a problem with some being generated to
|
|
|
|
match specific patterns. It does not matter whether the pattern is upper
|
|
|
|
or lower case.
|
|
|
|
|
|
|
|
So this is the best method:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
k = gpg.Context().keylist(pattern="258E88DCBD3CD44D8E7AB43F6ECB6AF0DEADBEEF")
|
|
|
|
keys = list(k)
|
|
|
|
|
|
|
|
This is passable and very likely to be common:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
k = gpg.Context().keylist(pattern="0x6ECB6AF0DEADBEEF")
|
|
|
|
keys = list(k)
|
|
|
|
|
|
|
|
And this is a really bad idea:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
k = gpg.Context().keylist(pattern="0xDEADBEEF")
|
|
|
|
keys = list(k)
|
|
|
|
|
|
|
|
Alternatively it may be that the intention is to create a list of keys
|
|
|
|
which all match a particular search string. For instance all the
|
|
|
|
addresses at a particular domain, like this:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
ncsc = gpg.Context().keylist(pattern="ncsc.mil")
|
|
|
|
nsa = list(ncsc)
|
|
|
|
|
|
|
|
.. _howto-keys-counting:
|
|
|
|
|
|
|
|
Counting keys
|
|
|
|
~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Counting the number of keys in your public keybox (``pubring.kbx``), the
|
|
|
|
format which has superseded the old keyring format (``pubring.gpg`` and
|
|
|
|
``secring.gpg``), or the number of secret keys is a very simple task.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
seckeys = c.keylist(pattern=None, secret=True)
|
|
|
|
pubkeys = c.keylist(pattern=None, secret=False)
|
|
|
|
|
|
|
|
seclist = list(seckeys)
|
|
|
|
secnum = len(seclist)
|
|
|
|
|
|
|
|
publist = list(pubkeys)
|
|
|
|
pubnum = len(publist)
|
|
|
|
|
|
|
|
print("""
|
|
|
|
Number of secret keys: {0}
|
|
|
|
Number of public keys: {1}
|
|
|
|
""".format(secnum, pubnum))
|
|
|
|
|
|
|
|
NOTE: The `Cython <#cython>`__ introduction in the `Advanced and
|
|
|
|
Experimental <#advanced-use>`__ section uses this same key counting code
|
|
|
|
with Cython to demonstrate some areas where Cython can improve
|
|
|
|
performance even with the bindings. Users with large public keyrings or
|
|
|
|
keyboxes, for instance, should consider these options if they are
|
|
|
|
comfortable with using Cython.
|
|
|
|
|
|
|
|
.. _howto-get-key:
|
|
|
|
|
|
|
|
Get key
|
|
|
|
-------
|
|
|
|
|
|
|
|
An alternative method of getting a single key via its fingerprint is
|
|
|
|
available directly within a Context with ``Context().get_key``. This is
|
|
|
|
the preferred method of selecting a key in order to modify it, sign or
|
|
|
|
certify it and for obtaining relevant data about a single key as a part
|
|
|
|
of other functions; when verifying a signature made by that key, for
|
|
|
|
instance.
|
|
|
|
|
|
|
|
By default this method will select public keys, but it can select secret
|
|
|
|
keys as well.
|
|
|
|
|
|
|
|
This first example demonstrates selecting the current key of Werner
|
|
|
|
Koch, which is due to expire at the end of 2018:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
fingerprint = "80615870F5BAD690333686D0F2AD85AC1E42B367"
|
|
|
|
key = gpg.Context().get_key(fingerprint)
|
|
|
|
|
|
|
|
Whereas this example demonstrates selecting the author\'s current key
|
|
|
|
with the ``secret`` key word argument set to ``True``:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
fingerprint = "DB4724E6FA4286C92B4E55C4321E4E2373590E5D"
|
|
|
|
key = gpg.Context().get_key(fingerprint, secret=True)
|
|
|
|
|
|
|
|
It is, of course, quite possible to select expired, disabled and revoked
|
|
|
|
keys with this function, but only to effectively display information
|
|
|
|
about those keys.
|
|
|
|
|
|
|
|
It is also possible to use both unicode or string literals and byte
|
|
|
|
literals with the fingerprint when getting a key in this way.
|
|
|
|
|
|
|
|
.. _howto-import-key:
|
|
|
|
|
|
|
|
Importing keys
|
|
|
|
--------------
|
|
|
|
|
|
|
|
Importing keys is possible with the ``key_import()`` method and takes
|
|
|
|
one argument which is a bytes literal object containing either the
|
|
|
|
binary or ASCII armoured key data for one or more keys.
|
|
|
|
|
|
|
|
The following example retrieves one or more keys from the SKS keyservers
|
|
|
|
via the web using the requests module. Since requests returns the
|
|
|
|
content as a bytes literal object, we can then use that directly to
|
|
|
|
import the resulting data into our keybox.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import os.path
|
|
|
|
import requests
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
url = "https://sks-keyservers.net/pks/lookup"
|
|
|
|
pattern = input("Enter the pattern to search for key or user IDs: ")
|
|
|
|
payload = {"op": "get", "search": pattern}
|
|
|
|
|
|
|
|
r = requests.get(url, verify=True, params=payload)
|
|
|
|
result = c.key_import(r.content)
|
|
|
|
|
|
|
|
if result is not None and hasattr(result, "considered") is False:
|
|
|
|
print(result)
|
|
|
|
elif result is not None and hasattr(result, "considered") is True:
|
|
|
|
num_keys = len(result.imports)
|
|
|
|
new_revs = result.new_revocations
|
|
|
|
new_sigs = result.new_signatures
|
|
|
|
new_subs = result.new_sub_keys
|
|
|
|
new_uids = result.new_user_ids
|
|
|
|
new_scrt = result.secret_imported
|
|
|
|
nochange = result.unchanged
|
|
|
|
print("""
|
|
|
|
The total number of keys considered for import was: {0}
|
|
|
|
|
|
|
|
Number of keys revoked: {1}
|
|
|
|
Number of new signatures: {2}
|
|
|
|
Number of new subkeys: {3}
|
|
|
|
Number of new user IDs: {4}
|
|
|
|
Number of new secret keys: {5}
|
|
|
|
Number of unchanged keys: {6}
|
|
|
|
|
|
|
|
The key IDs for all considered keys were:
|
|
|
|
""".format(num_keys, new_revs, new_sigs, new_subs, new_uids, new_scrt,
|
|
|
|
nochange))
|
|
|
|
for i in range(num_keys):
|
|
|
|
print("{0}\n".format(result.imports[i].fpr))
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
NOTE: When searching for a key ID of any length or a fingerprint
|
|
|
|
(without spaces), the SKS servers require the the leading ``0x``
|
|
|
|
indicative of hexadecimal be included. Also note that the old short key
|
|
|
|
IDs (e.g. ``0xDEADBEEF``) should no longer be used due to the relative
|
|
|
|
ease by which such key IDs can be reproduced, as demonstrated by the
|
|
|
|
Evil32 Project in 2014 (which was subsequently exploited in 2016).
|
|
|
|
|
|
|
|
.. _import-protonmail:
|
|
|
|
|
|
|
|
Working with ProtonMail
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Here is a variation on the example above which checks the constrained
|
|
|
|
ProtonMail keyserver for ProtonMail public keys.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import requests
|
|
|
|
import sys
|
|
|
|
|
|
|
|
print("""
|
|
|
|
This script searches the ProtonMail key server for the specified key and
|
|
|
|
imports it.
|
|
|
|
""")
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
url = "https://api.protonmail.ch/pks/lookup"
|
|
|
|
ksearch = []
|
|
|
|
|
|
|
|
if len(sys.argv) >= 2:
|
|
|
|
keyterm = sys.argv[1]
|
|
|
|
else:
|
|
|
|
keyterm = input("Enter the key ID, UID or search string: ")
|
|
|
|
|
|
|
|
if keyterm.count("@") == 2 and keyterm.startswith("@") is True:
|
|
|
|
ksearch.append(keyterm[1:])
|
|
|
|
ksearch.append(keyterm[1:])
|
|
|
|
ksearch.append(keyterm[1:])
|
|
|
|
elif keyterm.count("@") == 1 and keyterm.startswith("@") is True:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(keyterm[1:]))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(keyterm[1:]))
|
|
|
|
ksearch.append("{0}@pm.me".format(keyterm[1:]))
|
|
|
|
elif keyterm.count("@") == 0:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(keyterm))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(keyterm))
|
|
|
|
ksearch.append("{0}@pm.me".format(keyterm))
|
|
|
|
elif keyterm.count("@") == 2 and keyterm.startswith("@") is False:
|
|
|
|
uidlist = keyterm.split("@")
|
|
|
|
for uid in uidlist:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(uid))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(uid))
|
|
|
|
ksearch.append("{0}@pm.me".format(uid))
|
|
|
|
elif keyterm.count("@") > 2:
|
|
|
|
uidlist = keyterm.split("@")
|
|
|
|
for uid in uidlist:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(uid))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(uid))
|
|
|
|
ksearch.append("{0}@pm.me".format(uid))
|
|
|
|
else:
|
|
|
|
ksearch.append(keyterm)
|
|
|
|
|
|
|
|
for k in ksearch:
|
|
|
|
payload = {"op": "get", "search": k}
|
|
|
|
try:
|
|
|
|
r = requests.get(url, verify=True, params=payload)
|
|
|
|
if r.ok is True:
|
|
|
|
result = c.key_import(r.content)
|
|
|
|
elif r.ok is False:
|
|
|
|
result = r.content
|
|
|
|
except Exception as e:
|
|
|
|
result = None
|
|
|
|
|
|
|
|
if result is not None and hasattr(result, "considered") is False:
|
|
|
|
print("{0} for {1}".format(result.decode(), k))
|
|
|
|
elif result is not None and hasattr(result, "considered") is True:
|
|
|
|
num_keys = len(result.imports)
|
|
|
|
new_revs = result.new_revocations
|
|
|
|
new_sigs = result.new_signatures
|
|
|
|
new_subs = result.new_sub_keys
|
|
|
|
new_uids = result.new_user_ids
|
|
|
|
new_scrt = result.secret_imported
|
|
|
|
nochange = result.unchanged
|
|
|
|
print("""
|
|
|
|
The total number of keys considered for import was: {0}
|
|
|
|
|
|
|
|
With UIDs wholely or partially matching the following string:
|
|
|
|
|
|
|
|
{1}
|
|
|
|
|
|
|
|
Number of keys revoked: {2}
|
|
|
|
Number of new signatures: {3}
|
|
|
|
Number of new subkeys: {4}
|
|
|
|
Number of new user IDs: {5}
|
|
|
|
Number of new secret keys: {6}
|
|
|
|
Number of unchanged keys: {7}
|
|
|
|
|
|
|
|
The key IDs for all considered keys were:
|
|
|
|
""".format(num_keys, k, new_revs, new_sigs, new_subs, new_uids, new_scrt,
|
|
|
|
nochange))
|
|
|
|
for i in range(num_keys):
|
|
|
|
print(result.imports[i].fpr)
|
|
|
|
print("")
|
|
|
|
elif result is None:
|
|
|
|
print(e)
|
|
|
|
|
|
|
|
Both the above example,
|
|
|
|
`pmkey-import.py <../examples/howto/pmkey-import.py>`__, and a version
|
|
|
|
which prompts for an alternative GnuPG home directory,
|
|
|
|
`pmkey-import-alt.py <../examples/howto/pmkey-import-alt.py>`__, are
|
|
|
|
available with the other examples and are executable scripts.
|
|
|
|
|
|
|
|
Note that while the ProtonMail servers are based on the SKS servers,
|
|
|
|
their server is related more to their API and is not feature complete by
|
|
|
|
comparison to the servers in the SKS pool. One notable difference being
|
|
|
|
that the ProtonMail server does not permit non ProtonMail users to
|
|
|
|
update their own keys, which could be a vector for attacking ProtonMail
|
|
|
|
users who may not receive a key\'s revocation if it had been
|
|
|
|
compromised.
|
|
|
|
|
|
|
|
.. _import-hkp4py:
|
|
|
|
|
|
|
|
Importing with HKP for Python
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Performing the same tasks with the `hkp4py
|
|
|
|
module <https://github.com/Selfnet/hkp4py>`__ (available via PyPI) is
|
|
|
|
not too much different, but does provide a number of options of benefit
|
|
|
|
to end users. Not least of which being the ability to perform some
|
|
|
|
checks on a key before importing it or not. For instance it may be the
|
|
|
|
policy of a site or project to only import keys which have not been
|
|
|
|
revoked. The hkp4py module permits such checks prior to the importing of
|
|
|
|
the keys found.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import hkp4py
|
|
|
|
import sys
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
server = hkp4py.KeyServer("hkps://hkps.pool.sks-keyservers.net")
|
|
|
|
results = []
|
|
|
|
|
|
|
|
if len(sys.argv) > 2:
|
|
|
|
pattern = " ".join(sys.argv[1:])
|
|
|
|
elif len(sys.argv) == 2:
|
|
|
|
pattern = sys.argv[1]
|
|
|
|
else:
|
|
|
|
pattern = input("Enter the pattern to search for keys or user IDs: ")
|
|
|
|
|
|
|
|
try:
|
|
|
|
keys = server.search(pattern)
|
|
|
|
print("Found {0} key(s).".format(len(keys)))
|
|
|
|
except Exception as e:
|
|
|
|
keys = []
|
|
|
|
for logrus in pattern.split():
|
|
|
|
if logrus.startswith("0x") is True:
|
|
|
|
key = server.search(logrus)
|
|
|
|
else:
|
|
|
|
key = server.search("0x{0}".format(logrus))
|
|
|
|
keys.append(key[0])
|
|
|
|
print("Found {0} key(s).".format(len(keys)))
|
|
|
|
|
|
|
|
for key in keys:
|
|
|
|
import_result = c.key_import(key.key_blob)
|
|
|
|
results.append(import_result)
|
|
|
|
|
|
|
|
for result in results:
|
|
|
|
if result is not None and hasattr(result, "considered") is False:
|
|
|
|
print(result)
|
|
|
|
elif result is not None and hasattr(result, "considered") is True:
|
|
|
|
num_keys = len(result.imports)
|
|
|
|
new_revs = result.new_revocations
|
|
|
|
new_sigs = result.new_signatures
|
|
|
|
new_subs = result.new_sub_keys
|
|
|
|
new_uids = result.new_user_ids
|
|
|
|
new_scrt = result.secret_imported
|
|
|
|
nochange = result.unchanged
|
|
|
|
print("""
|
|
|
|
The total number of keys considered for import was: {0}
|
|
|
|
|
|
|
|
Number of keys revoked: {1}
|
|
|
|
Number of new signatures: {2}
|
|
|
|
Number of new subkeys: {3}
|
|
|
|
Number of new user IDs: {4}
|
|
|
|
Number of new secret keys: {5}
|
|
|
|
Number of unchanged keys: {6}
|
|
|
|
|
|
|
|
The key IDs for all considered keys were:
|
|
|
|
""".format(num_keys, new_revs, new_sigs, new_subs, new_uids, new_scrt,
|
|
|
|
nochange))
|
|
|
|
for i in range(num_keys):
|
|
|
|
print(result.imports[i].fpr)
|
|
|
|
print("")
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
Since the hkp4py module handles multiple keys just as effectively as one
|
|
|
|
(``keys`` is a list of responses per matching key), the example above is
|
|
|
|
able to do a little bit more with the returned data before anything is
|
|
|
|
actually imported.
|
|
|
|
|
|
|
|
.. _import-protonmail-hkp4py:
|
|
|
|
|
|
|
|
Importing from ProtonMail with HKP for Python
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Though this can provide certain benefits even when working with
|
|
|
|
ProtonMail, the scope is somewhat constrained there due to the
|
|
|
|
limitations of the ProtonMail keyserver.
|
|
|
|
|
|
|
|
For instance, searching the SKS keyserver pool for the term \"gnupg\"
|
|
|
|
produces hundreds of results from any time the word appears in any part
|
|
|
|
of a user ID. Performing the same search on the ProtonMail keyserver
|
|
|
|
returns zero results, even though there are at least two test accounts
|
|
|
|
which include it as part of the username.
|
|
|
|
|
|
|
|
The cause of this discrepancy is the deliberate configuration of that
|
|
|
|
server by ProtonMail to require an exact match of the full email address
|
|
|
|
of the ProtonMail user whose key is being requested. Presumably this is
|
|
|
|
intended to reduce breaches of privacy of their users as an email
|
|
|
|
address must already be known before a key for that address can be
|
|
|
|
obtained.
|
|
|
|
|
|
|
|
#. Import from ProtonMail via HKP for Python Example no. 1
|
|
|
|
|
2018-11-08 05:34:27 +00:00
|
|
|
The following script is available with the rest of the examples under
|
2018-10-03 21:09:40 +00:00
|
|
|
the somewhat less than original name, ``pmkey-import-hkp.py``.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import hkp4py
|
|
|
|
import os.path
|
|
|
|
import sys
|
|
|
|
|
|
|
|
print("""
|
|
|
|
This script searches the ProtonMail key server for the specified key and
|
|
|
|
imports it.
|
|
|
|
|
|
|
|
Usage: pmkey-import-hkp.py [search strings]
|
|
|
|
""")
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
server = hkp4py.KeyServer("hkps://api.protonmail.ch")
|
|
|
|
keyterms = []
|
|
|
|
ksearch = []
|
|
|
|
allkeys = []
|
|
|
|
results = []
|
|
|
|
paradox = []
|
|
|
|
homeless = None
|
|
|
|
|
|
|
|
if len(sys.argv) > 2:
|
|
|
|
keyterms = sys.argv[1:]
|
|
|
|
elif len(sys.argv) == 2:
|
|
|
|
keyterm = sys.argv[1]
|
|
|
|
keyterms.append(keyterm)
|
|
|
|
else:
|
|
|
|
key_term = input("Enter the key ID, UID or search string: ")
|
|
|
|
keyterms = key_term.split()
|
|
|
|
|
|
|
|
for keyterm in keyterms:
|
|
|
|
if keyterm.count("@") == 2 and keyterm.startswith("@") is True:
|
|
|
|
ksearch.append(keyterm[1:])
|
|
|
|
ksearch.append(keyterm[1:])
|
|
|
|
ksearch.append(keyterm[1:])
|
|
|
|
elif keyterm.count("@") == 1 and keyterm.startswith("@") is True:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(keyterm[1:]))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(keyterm[1:]))
|
|
|
|
ksearch.append("{0}@pm.me".format(keyterm[1:]))
|
|
|
|
elif keyterm.count("@") == 0:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(keyterm))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(keyterm))
|
|
|
|
ksearch.append("{0}@pm.me".format(keyterm))
|
|
|
|
elif keyterm.count("@") == 2 and keyterm.startswith("@") is False:
|
|
|
|
uidlist = keyterm.split("@")
|
|
|
|
for uid in uidlist:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(uid))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(uid))
|
|
|
|
ksearch.append("{0}@pm.me".format(uid))
|
|
|
|
elif keyterm.count("@") > 2:
|
|
|
|
uidlist = keyterm.split("@")
|
|
|
|
for uid in uidlist:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(uid))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(uid))
|
|
|
|
ksearch.append("{0}@pm.me".format(uid))
|
|
|
|
else:
|
|
|
|
ksearch.append(keyterm)
|
|
|
|
|
|
|
|
for k in ksearch:
|
|
|
|
print("Checking for key for: {0}".format(k))
|
|
|
|
try:
|
|
|
|
keys = server.search(k)
|
|
|
|
if isinstance(keys, list) is True:
|
|
|
|
for key in keys:
|
|
|
|
allkeys.append(key)
|
|
|
|
try:
|
|
|
|
import_result = c.key_import(key.key_blob)
|
|
|
|
except Exception as e:
|
|
|
|
import_result = c.key_import(key.key)
|
|
|
|
else:
|
|
|
|
paradox.append(keys)
|
|
|
|
import_result = None
|
|
|
|
except Exception as e:
|
|
|
|
import_result = None
|
|
|
|
results.append(import_result)
|
|
|
|
|
|
|
|
for result in results:
|
|
|
|
if result is not None and hasattr(result, "considered") is False:
|
|
|
|
print("{0} for {1}".format(result.decode(), k))
|
|
|
|
elif result is not None and hasattr(result, "considered") is True:
|
|
|
|
num_keys = len(result.imports)
|
|
|
|
new_revs = result.new_revocations
|
|
|
|
new_sigs = result.new_signatures
|
|
|
|
new_subs = result.new_sub_keys
|
|
|
|
new_uids = result.new_user_ids
|
|
|
|
new_scrt = result.secret_imported
|
|
|
|
nochange = result.unchanged
|
|
|
|
print("""
|
|
|
|
The total number of keys considered for import was: {0}
|
|
|
|
|
|
|
|
With UIDs wholely or partially matching the following string:
|
|
|
|
|
|
|
|
{1}
|
|
|
|
|
|
|
|
Number of keys revoked: {2}
|
|
|
|
Number of new signatures: {3}
|
|
|
|
Number of new subkeys: {4}
|
|
|
|
Number of new user IDs: {5}
|
|
|
|
Number of new secret keys: {6}
|
|
|
|
Number of unchanged keys: {7}
|
|
|
|
|
|
|
|
The key IDs for all considered keys were:
|
|
|
|
""".format(num_keys, k, new_revs, new_sigs, new_subs, new_uids, new_scrt,
|
|
|
|
nochange))
|
|
|
|
for i in range(num_keys):
|
|
|
|
print(result.imports[i].fpr)
|
|
|
|
print("")
|
|
|
|
elif result is None:
|
|
|
|
pass
|
|
|
|
|
|
|
|
#. Import from ProtonMail via HKP for Python Example no. 2
|
|
|
|
|
|
|
|
Like its counterpart above, this script can also be found with the
|
|
|
|
rest of the examples, by the name pmkey-import-hkp-alt.py.
|
|
|
|
|
|
|
|
With this script a modicum of effort has been made to treat anything
|
|
|
|
passed as a ``homedir`` which either does not exist or which is not a
|
|
|
|
directory, as also being a pssible user ID to check for. It\'s not
|
|
|
|
guaranteed to pick up on all such cases, but it should cover most of
|
|
|
|
them.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import hkp4py
|
|
|
|
import os.path
|
|
|
|
import sys
|
|
|
|
|
|
|
|
print("""
|
|
|
|
This script searches the ProtonMail key server for the specified key and
|
|
|
|
imports it. Optionally enables specifying a different GnuPG home directory.
|
|
|
|
|
|
|
|
Usage: pmkey-import-hkp.py [homedir] [search string]
|
|
|
|
or: pmkey-import-hkp.py [search string]
|
|
|
|
""")
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
server = hkp4py.KeyServer("hkps://api.protonmail.ch")
|
|
|
|
keyterms = []
|
|
|
|
ksearch = []
|
|
|
|
allkeys = []
|
|
|
|
results = []
|
|
|
|
paradox = []
|
|
|
|
homeless = None
|
|
|
|
|
|
|
|
if len(sys.argv) > 3:
|
|
|
|
homedir = sys.argv[1]
|
|
|
|
keyterms = sys.argv[2:]
|
|
|
|
elif len(sys.argv) == 3:
|
|
|
|
homedir = sys.argv[1]
|
|
|
|
keyterm = sys.argv[2]
|
|
|
|
keyterms.append(keyterm)
|
|
|
|
elif len(sys.argv) == 2:
|
|
|
|
homedir = ""
|
|
|
|
keyterm = sys.argv[1]
|
|
|
|
keyterms.append(keyterm)
|
|
|
|
else:
|
|
|
|
keyterm = input("Enter the key ID, UID or search string: ")
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
keyterms.append(keyterm)
|
|
|
|
|
|
|
|
if len(homedir) == 0:
|
|
|
|
homedir = None
|
|
|
|
homeless = False
|
|
|
|
|
|
|
|
if homedir is not None:
|
|
|
|
if homedir.startswith("~"):
|
|
|
|
if os.path.exists(os.path.expanduser(homedir)) is True:
|
|
|
|
if os.path.isdir(os.path.expanduser(homedir)) is True:
|
|
|
|
c.home_dir = os.path.realpath(os.path.expanduser(homedir))
|
|
|
|
else:
|
|
|
|
homeless = True
|
|
|
|
else:
|
|
|
|
homeless = True
|
|
|
|
elif os.path.exists(os.path.realpath(homedir)) is True:
|
|
|
|
if os.path.isdir(os.path.realpath(homedir)) is True:
|
|
|
|
c.home_dir = os.path.realpath(homedir)
|
|
|
|
else:
|
|
|
|
homeless = True
|
|
|
|
else:
|
|
|
|
homeless = True
|
|
|
|
|
|
|
|
# First check to see if the homedir really is a homedir and if not, treat it as
|
|
|
|
# a search string.
|
|
|
|
if homeless is True:
|
|
|
|
keyterms.append(homedir)
|
|
|
|
c.home_dir = None
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
for keyterm in keyterms:
|
|
|
|
if keyterm.count("@") == 2 and keyterm.startswith("@") is True:
|
|
|
|
ksearch.append(keyterm[1:])
|
|
|
|
ksearch.append(keyterm[1:])
|
|
|
|
ksearch.append(keyterm[1:])
|
|
|
|
elif keyterm.count("@") == 1 and keyterm.startswith("@") is True:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(keyterm[1:]))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(keyterm[1:]))
|
|
|
|
ksearch.append("{0}@pm.me".format(keyterm[1:]))
|
|
|
|
elif keyterm.count("@") == 0:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(keyterm))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(keyterm))
|
|
|
|
ksearch.append("{0}@pm.me".format(keyterm))
|
|
|
|
elif keyterm.count("@") == 2 and keyterm.startswith("@") is False:
|
|
|
|
uidlist = keyterm.split("@")
|
|
|
|
for uid in uidlist:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(uid))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(uid))
|
|
|
|
ksearch.append("{0}@pm.me".format(uid))
|
|
|
|
elif keyterm.count("@") > 2:
|
|
|
|
uidlist = keyterm.split("@")
|
|
|
|
for uid in uidlist:
|
|
|
|
ksearch.append("{0}@protonmail.com".format(uid))
|
|
|
|
ksearch.append("{0}@protonmail.ch".format(uid))
|
|
|
|
ksearch.append("{0}@pm.me".format(uid))
|
|
|
|
else:
|
|
|
|
ksearch.append(keyterm)
|
|
|
|
|
|
|
|
for k in ksearch:
|
|
|
|
print("Checking for key for: {0}".format(k))
|
|
|
|
try:
|
|
|
|
keys = server.search(k)
|
|
|
|
if isinstance(keys, list) is True:
|
|
|
|
for key in keys:
|
|
|
|
allkeys.append(key)
|
|
|
|
try:
|
|
|
|
import_result = c.key_import(key.key_blob)
|
|
|
|
except Exception as e:
|
|
|
|
import_result = c.key_import(key.key)
|
|
|
|
else:
|
|
|
|
paradox.append(keys)
|
|
|
|
import_result = None
|
|
|
|
except Exception as e:
|
|
|
|
import_result = None
|
|
|
|
results.append(import_result)
|
|
|
|
|
|
|
|
for result in results:
|
|
|
|
if result is not None and hasattr(result, "considered") is False:
|
|
|
|
print("{0} for {1}".format(result.decode(), k))
|
|
|
|
elif result is not None and hasattr(result, "considered") is True:
|
|
|
|
num_keys = len(result.imports)
|
|
|
|
new_revs = result.new_revocations
|
|
|
|
new_sigs = result.new_signatures
|
|
|
|
new_subs = result.new_sub_keys
|
|
|
|
new_uids = result.new_user_ids
|
|
|
|
new_scrt = result.secret_imported
|
|
|
|
nochange = result.unchanged
|
|
|
|
print("""
|
|
|
|
The total number of keys considered for import was: {0}
|
|
|
|
|
|
|
|
With UIDs wholely or partially matching the following string:
|
|
|
|
|
|
|
|
{1}
|
|
|
|
|
|
|
|
Number of keys revoked: {2}
|
|
|
|
Number of new signatures: {3}
|
|
|
|
Number of new subkeys: {4}
|
|
|
|
Number of new user IDs: {5}
|
|
|
|
Number of new secret keys: {6}
|
|
|
|
Number of unchanged keys: {7}
|
|
|
|
|
|
|
|
The key IDs for all considered keys were:
|
|
|
|
""".format(num_keys, k, new_revs, new_sigs, new_subs, new_uids, new_scrt,
|
|
|
|
nochange))
|
|
|
|
for i in range(num_keys):
|
|
|
|
print(result.imports[i].fpr)
|
|
|
|
print("")
|
|
|
|
elif result is None:
|
|
|
|
pass
|
|
|
|
|
|
|
|
.. _howto-export-key:
|
|
|
|
|
|
|
|
Exporting keys
|
|
|
|
--------------
|
|
|
|
|
|
|
|
Exporting keys remains a reasonably simple task, but has been separated
|
|
|
|
into three different functions for the OpenPGP cryptographic engine. Two
|
|
|
|
of those functions are for exporting public keys and the third is for
|
|
|
|
exporting secret keys.
|
|
|
|
|
|
|
|
.. _howto-export-public-key:
|
|
|
|
|
|
|
|
Exporting public keys
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
There are two methods of exporting public keys, both of which are very
|
|
|
|
similar to the other. The default method, ``key_export()``, will export
|
|
|
|
a public key or keys matching a specified pattern as normal. The
|
|
|
|
alternative, the ``key_export_minimal()`` method, will do the same thing
|
|
|
|
except producing a minimised output with extra signatures and third
|
|
|
|
party signatures or certifications removed.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import os.path
|
|
|
|
import sys
|
|
|
|
|
|
|
|
print("""
|
|
|
|
This script exports one or more public keys.
|
|
|
|
""")
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
|
|
|
|
if len(sys.argv) >= 4:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = sys.argv[2]
|
|
|
|
homedir = sys.argv[3]
|
|
|
|
elif len(sys.argv) == 3:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = sys.argv[2]
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
elif len(sys.argv) == 2:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = input("Enter the UID matching the key(s) to export: ")
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
else:
|
|
|
|
keyfile = input("Enter the path and filename to save the secret key to: ")
|
|
|
|
logrus = input("Enter the UID matching the key(s) to export: ")
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
|
|
|
|
if homedir.startswith("~"):
|
|
|
|
if os.path.exists(os.path.expanduser(homedir)) is True:
|
|
|
|
c.home_dir = os.path.expanduser(homedir)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
elif os.path.exists(homedir) is True:
|
|
|
|
c.home_dir = homedir
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
try:
|
|
|
|
result = c.key_export(pattern=logrus)
|
|
|
|
except:
|
|
|
|
result = c.key_export(pattern=None)
|
|
|
|
|
|
|
|
if result is not None:
|
|
|
|
with open(keyfile, "wb") as f:
|
|
|
|
f.write(result)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
It should be noted that the result will only return ``None`` when a
|
|
|
|
search pattern has been entered, but has not matched any keys. When the
|
|
|
|
search pattern itself is set to ``None`` this triggers the exporting of
|
|
|
|
the entire public keybox.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import os.path
|
|
|
|
import sys
|
|
|
|
|
|
|
|
print("""
|
|
|
|
This script exports one or more public keys in minimised form.
|
|
|
|
""")
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
|
|
|
|
if len(sys.argv) >= 4:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = sys.argv[2]
|
|
|
|
homedir = sys.argv[3]
|
|
|
|
elif len(sys.argv) == 3:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = sys.argv[2]
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
elif len(sys.argv) == 2:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = input("Enter the UID matching the key(s) to export: ")
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
else:
|
|
|
|
keyfile = input("Enter the path and filename to save the secret key to: ")
|
|
|
|
logrus = input("Enter the UID matching the key(s) to export: ")
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
|
|
|
|
if homedir.startswith("~"):
|
|
|
|
if os.path.exists(os.path.expanduser(homedir)) is True:
|
|
|
|
c.home_dir = os.path.expanduser(homedir)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
elif os.path.exists(homedir) is True:
|
|
|
|
c.home_dir = homedir
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
try:
|
|
|
|
result = c.key_export_minimal(pattern=logrus)
|
|
|
|
except:
|
|
|
|
result = c.key_export_minimal(pattern=None)
|
|
|
|
|
|
|
|
if result is not None:
|
|
|
|
with open(keyfile, "wb") as f:
|
|
|
|
f.write(result)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
.. _howto-export-secret-key:
|
|
|
|
|
|
|
|
Exporting secret keys
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Exporting secret keys is, functionally, very similar to exporting public
|
|
|
|
keys; save for the invocation of ``pinentry`` via ``gpg-agent`` in order
|
|
|
|
to securely enter the key\'s passphrase and authorise the export.
|
|
|
|
|
|
|
|
The following example exports the secret key to a file which is then set
|
|
|
|
with the same permissions as the output files created by the command
|
|
|
|
line secret key export options.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import os
|
|
|
|
import os.path
|
|
|
|
import sys
|
|
|
|
|
|
|
|
print("""
|
|
|
|
This script exports one or more secret keys.
|
|
|
|
|
|
|
|
The gpg-agent and pinentry are invoked to authorise the export.
|
|
|
|
""")
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
|
|
|
|
if len(sys.argv) >= 4:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = sys.argv[2]
|
|
|
|
homedir = sys.argv[3]
|
|
|
|
elif len(sys.argv) == 3:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = sys.argv[2]
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
elif len(sys.argv) == 2:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = input("Enter the UID matching the secret key(s) to export: ")
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
else:
|
|
|
|
keyfile = input("Enter the path and filename to save the secret key to: ")
|
|
|
|
logrus = input("Enter the UID matching the secret key(s) to export: ")
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
|
|
|
|
if len(homedir) == 0:
|
|
|
|
homedir = None
|
|
|
|
elif homedir.startswith("~"):
|
|
|
|
userdir = os.path.expanduser(homedir)
|
|
|
|
if os.path.exists(userdir) is True:
|
|
|
|
homedir = os.path.realpath(userdir)
|
|
|
|
else:
|
|
|
|
homedir = None
|
|
|
|
else:
|
|
|
|
homedir = os.path.realpath(homedir)
|
|
|
|
|
|
|
|
if os.path.exists(homedir) is False:
|
|
|
|
homedir = None
|
|
|
|
else:
|
|
|
|
if os.path.isdir(homedir) is False:
|
|
|
|
homedir = None
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
if homedir is not None:
|
|
|
|
c.home_dir = homedir
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
try:
|
|
|
|
result = c.key_export_secret(pattern=logrus)
|
|
|
|
except:
|
|
|
|
result = c.key_export_secret(pattern=None)
|
|
|
|
|
|
|
|
if result is not None:
|
|
|
|
with open(keyfile, "wb") as f:
|
|
|
|
f.write(result)
|
|
|
|
os.chmod(keyfile, 0o600)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
Alternatively the approach of the following script can be used. This
|
|
|
|
longer example saves the exported secret key(s) in files in the GnuPG
|
|
|
|
home directory, in addition to setting the file permissions as only
|
|
|
|
readable and writable by the user. It also exports the secret key(s)
|
|
|
|
twice in order to output both GPG binary (``.gpg``) and ASCII armoured
|
|
|
|
(``.asc``) files.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import os
|
|
|
|
import os.path
|
|
|
|
import subprocess
|
|
|
|
import sys
|
|
|
|
|
|
|
|
print("""
|
|
|
|
This script exports one or more secret keys as both ASCII armored and binary
|
|
|
|
file formats, saved in files within the user's GPG home directory.
|
|
|
|
|
|
|
|
The gpg-agent and pinentry are invoked to authorise the export.
|
|
|
|
""")
|
|
|
|
|
|
|
|
if sys.platform == "win32":
|
|
|
|
gpgconfcmd = "gpgconf.exe --list-dirs homedir"
|
|
|
|
else:
|
|
|
|
gpgconfcmd = "gpgconf --list-dirs homedir"
|
|
|
|
|
|
|
|
a = gpg.Context(armor=True)
|
|
|
|
b = gpg.Context()
|
|
|
|
c = gpg.Context()
|
|
|
|
|
|
|
|
if len(sys.argv) >= 4:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = sys.argv[2]
|
|
|
|
homedir = sys.argv[3]
|
|
|
|
elif len(sys.argv) == 3:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = sys.argv[2]
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
elif len(sys.argv) == 2:
|
|
|
|
keyfile = sys.argv[1]
|
|
|
|
logrus = input("Enter the UID matching the secret key(s) to export: ")
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
else:
|
|
|
|
keyfile = input("Enter the filename to save the secret key to: ")
|
|
|
|
logrus = input("Enter the UID matching the secret key(s) to export: ")
|
|
|
|
homedir = input("Enter the GPG configuration directory path (optional): ")
|
|
|
|
|
|
|
|
if len(homedir) == 0:
|
|
|
|
homedir = None
|
|
|
|
elif homedir.startswith("~"):
|
|
|
|
userdir = os.path.expanduser(homedir)
|
|
|
|
if os.path.exists(userdir) is True:
|
|
|
|
homedir = os.path.realpath(userdir)
|
|
|
|
else:
|
|
|
|
homedir = None
|
|
|
|
else:
|
|
|
|
homedir = os.path.realpath(homedir)
|
|
|
|
|
|
|
|
if os.path.exists(homedir) is False:
|
|
|
|
homedir = None
|
|
|
|
else:
|
|
|
|
if os.path.isdir(homedir) is False:
|
|
|
|
homedir = None
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
if homedir is not None:
|
|
|
|
c.home_dir = homedir
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
if c.home_dir is not None:
|
|
|
|
if c.home_dir.endswith("/"):
|
|
|
|
gpgfile = "{0}{1}.gpg".format(c.home_dir, keyfile)
|
|
|
|
ascfile = "{0}{1}.asc".format(c.home_dir, keyfile)
|
|
|
|
else:
|
|
|
|
gpgfile = "{0}/{1}.gpg".format(c.home_dir, keyfile)
|
|
|
|
ascfile = "{0}/{1}.asc".format(c.home_dir, keyfile)
|
|
|
|
else:
|
|
|
|
if os.path.exists(os.environ["GNUPGHOME"]) is True:
|
|
|
|
hd = os.environ["GNUPGHOME"]
|
|
|
|
else:
|
|
|
|
try:
|
|
|
|
hd = subprocess.getoutput(gpgconfcmd)
|
|
|
|
except:
|
|
|
|
process = subprocess.Popen(gpgconfcmd.split(),
|
|
|
|
stdout=subprocess.PIPE)
|
|
|
|
procom = process.communicate()
|
|
|
|
if sys.version_info[0] == 2:
|
|
|
|
hd = procom[0].strip()
|
|
|
|
else:
|
|
|
|
hd = procom[0].decode().strip()
|
|
|
|
gpgfile = "{0}/{1}.gpg".format(hd, keyfile)
|
|
|
|
ascfile = "{0}/{1}.asc".format(hd, keyfile)
|
|
|
|
|
|
|
|
try:
|
|
|
|
a_result = a.key_export_secret(pattern=logrus)
|
|
|
|
b_result = b.key_export_secret(pattern=logrus)
|
|
|
|
except:
|
|
|
|
a_result = a.key_export_secret(pattern=None)
|
|
|
|
b_result = b.key_export_secret(pattern=None)
|
|
|
|
|
|
|
|
if a_result is not None:
|
|
|
|
with open(ascfile, "wb") as f:
|
|
|
|
f.write(a_result)
|
|
|
|
os.chmod(ascfile, 0o600)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
if b_result is not None:
|
|
|
|
with open(gpgfile, "wb") as f:
|
|
|
|
f.write(b_result)
|
|
|
|
os.chmod(gpgfile, 0o600)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
.. _howto-send-public-key:
|
|
|
|
|
|
|
|
Sending public keys to the SKS Keyservers
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
As with the previous section on importing keys, the ``hkp4py`` module
|
|
|
|
adds another option with exporting keys in order to send them to the
|
|
|
|
public keyservers.
|
|
|
|
|
|
|
|
The following example demonstrates how this may be done.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import hkp4py
|
|
|
|
import os.path
|
|
|
|
import sys
|
|
|
|
|
|
|
|
print("""
|
|
|
|
This script sends one or more public keys to the SKS keyservers and is
|
|
|
|
essentially a slight variation on the export-key.py script.
|
|
|
|
""")
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
server = hkp4py.KeyServer("hkps://hkps.pool.sks-keyservers.net")
|
|
|
|
|
|
|
|
if len(sys.argv) > 2:
|
|
|
|
logrus = " ".join(sys.argv[1:])
|
|
|
|
elif len(sys.argv) == 2:
|
|
|
|
logrus = sys.argv[1]
|
|
|
|
else:
|
|
|
|
logrus = input("Enter the UID matching the key(s) to send: ")
|
|
|
|
|
|
|
|
if len(logrus) > 0:
|
|
|
|
try:
|
|
|
|
export_result = c.key_export(pattern=logrus)
|
|
|
|
except Exception as e:
|
|
|
|
print(e)
|
|
|
|
export_result = None
|
|
|
|
else:
|
|
|
|
export_result = c.key_export(pattern=None)
|
|
|
|
|
|
|
|
if export_result is not None:
|
|
|
|
try:
|
|
|
|
try:
|
|
|
|
send_result = server.add(export_result)
|
|
|
|
except:
|
|
|
|
send_result = server.add(export_result.decode())
|
|
|
|
if send_result is not None:
|
|
|
|
print(send_result)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
except Exception as e:
|
|
|
|
print(e)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
An expanded version of this script with additional functions for
|
|
|
|
specifying an alternative homedir location is in the examples directory
|
|
|
|
as ``send-key-to-keyserver.py``.
|
|
|
|
|
|
|
|
The ``hkp4py`` module appears to handle both string and byte literal
|
|
|
|
text data equally well, but the GPGME bindings deal primarily with byte
|
|
|
|
literal data only and so this script sends in that format first, then
|
|
|
|
tries the string literal form.
|
|
|
|
|
|
|
|
.. _howto-the-basics:
|
|
|
|
|
|
|
|
Basic Functions
|
|
|
|
===============
|
|
|
|
|
|
|
|
The most frequently called features of any cryptographic library will be
|
|
|
|
the most fundamental tasks for encryption software. In this section we
|
|
|
|
will look at how to programmatically encrypt data, decrypt it, sign it
|
|
|
|
and verify signatures.
|
|
|
|
|
|
|
|
.. _howto-basic-encryption:
|
|
|
|
|
|
|
|
Encryption
|
|
|
|
----------
|
|
|
|
|
|
|
|
Encrypting is very straight forward. In the first example below the
|
|
|
|
message, ``text``, is encrypted to a single recipient\'s key. In the
|
|
|
|
second example the message will be encrypted to multiple recipients.
|
|
|
|
|
|
|
|
.. _howto-basic-encryption-single:
|
|
|
|
|
|
|
|
Encrypting to one key
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Once the the Context is set the main issues with encrypting data is
|
|
|
|
essentially reduced to key selection and the keyword arguments specified
|
|
|
|
in the ``gpg.Context().encrypt()`` method.
|
|
|
|
|
|
|
|
Those keyword arguments are: ``recipients``, a list of keys encrypted to
|
|
|
|
(covered in greater detail in the following section); ``sign``, whether
|
|
|
|
or not to sign the plaintext data, see subsequent sections on signing
|
|
|
|
and verifying signatures below (defaults to ``True``); ``sink``, to
|
|
|
|
write results or partial results to a secure sink instead of returning
|
|
|
|
it (defaults to ``None``); ``passphrase``, only used when utilising
|
|
|
|
symmetric encryption (defaults to ``None``); ``always_trust``, used to
|
|
|
|
override the trust model settings for recipient keys (defaults to
|
|
|
|
``False``); ``add_encrypt_to``, utilises any preconfigured
|
|
|
|
``encrypt-to`` or ``default-key`` settings in the user\'s ``gpg.conf``
|
|
|
|
file (defaults to ``False``); ``prepare``, prepare for encryption
|
|
|
|
(defaults to ``False``); ``expect_sign``, prepare for signing (defaults
|
|
|
|
to ``False``); ``compress``, compresses the plaintext prior to
|
|
|
|
encryption (defaults to ``True``).
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
a_key = "0x12345678DEADBEEF"
|
|
|
|
text = b"""Some text to test with.
|
|
|
|
|
|
|
|
Since the text in this case must be bytes, it is most likely that
|
|
|
|
the input form will be a separate file which is opened with "rb"
|
|
|
|
as this is the simplest method of obtaining the correct data format.
|
|
|
|
"""
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
rkey = list(c.keylist(pattern=a_key, secret=False))
|
|
|
|
ciphertext, result, sign_result = c.encrypt(text, recipients=rkey, sign=False)
|
|
|
|
|
|
|
|
with open("secret_plans.txt.asc", "wb") as afile:
|
|
|
|
afile.write(ciphertext)
|
|
|
|
|
|
|
|
Though this is even more likely to be used like this; with the plaintext
|
|
|
|
input read from a file, the recipient keys used for encryption
|
|
|
|
regardless of key trust status and the encrypted output also encrypted
|
|
|
|
to any preconfigured keys set in the ``gpg.conf`` file:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
a_key = "0x12345678DEADBEEF"
|
|
|
|
|
|
|
|
with open("secret_plans.txt", "rb") as afile:
|
|
|
|
text = afile.read()
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
rkey = list(c.keylist(pattern=a_key, secret=False))
|
|
|
|
ciphertext, result, sign_result = c.encrypt(text, recipients=rkey, sign=True,
|
|
|
|
always_trust=True,
|
|
|
|
add_encrypt_to=True)
|
|
|
|
|
|
|
|
with open("secret_plans.txt.asc", "wb") as afile:
|
|
|
|
afile.write(ciphertext)
|
|
|
|
|
2018-11-08 05:34:27 +00:00
|
|
|
If the ``recipients`` parameter is empty then the plaintext is encrypted
|
2018-10-03 21:09:40 +00:00
|
|
|
symmetrically. If no ``passphrase`` is supplied as a parameter or via a
|
|
|
|
callback registered with the ``Context()`` then an out-of-band prompt
|
|
|
|
for the passphrase via pinentry will be invoked.
|
|
|
|
|
|
|
|
.. _howto-basic-encryption-multiple:
|
|
|
|
|
|
|
|
Encrypting to multiple keys
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Encrypting to multiple keys essentially just expands upon the key
|
|
|
|
selection process and the recipients from the previous examples.
|
|
|
|
|
|
|
|
The following example encrypts a message (``text``) to everyone with an
|
2018-10-04 16:30:20 +00:00
|
|
|
email address on the ``gnupg.org`` domain, [4]_ but does *not* encrypt
|
2018-10-03 21:09:40 +00:00
|
|
|
to a default key or other key which is configured to normally encrypt
|
|
|
|
to.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
text = b"""Oh look, another test message.
|
|
|
|
|
|
|
|
The same rules apply as with the previous example and more likely
|
|
|
|
than not, the message will actually be drawn from reading the
|
|
|
|
contents of a file or, maybe, from entering data at an input()
|
|
|
|
prompt.
|
|
|
|
|
|
|
|
Since the text in this case must be bytes, it is most likely that
|
|
|
|
the input form will be a separate file which is opened with "rb"
|
|
|
|
as this is the simplest method of obtaining the correct data
|
|
|
|
format.
|
|
|
|
"""
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
rpattern = list(c.keylist(pattern="@gnupg.org", secret=False))
|
|
|
|
logrus = []
|
|
|
|
|
|
|
|
for i in range(len(rpattern)):
|
|
|
|
if rpattern[i].can_encrypt == 1:
|
|
|
|
logrus.append(rpattern[i])
|
|
|
|
|
|
|
|
ciphertext, result, sign_result = c.encrypt(text, recipients=logrus,
|
|
|
|
sign=False, always_trust=True)
|
|
|
|
|
|
|
|
with open("secret_plans.txt.asc", "wb") as afile:
|
|
|
|
afile.write(ciphertext)
|
|
|
|
|
|
|
|
All it would take to change the above example to sign the message and
|
|
|
|
also encrypt the message to any configured default keys would be to
|
|
|
|
change the ``c.encrypt`` line to this:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
ciphertext, result, sign_result = c.encrypt(text, recipients=logrus,
|
|
|
|
always_trust=True,
|
|
|
|
add_encrypt_to=True)
|
|
|
|
|
|
|
|
The only keyword arguments requiring modification are those for which
|
|
|
|
the default values are changing. The default value of ``sign`` is
|
|
|
|
``True``, the default of ``always_trust`` is ``False``, the default of
|
|
|
|
``add_encrypt_to`` is ``False``.
|
|
|
|
|
|
|
|
If ``always_trust`` is not set to ``True`` and any of the recipient keys
|
|
|
|
are not trusted (e.g. not signed or locally signed) then the encryption
|
|
|
|
will raise an error. It is possible to mitigate this somewhat with
|
|
|
|
something more like this:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
with open("secret_plans.txt.asc", "rb") as afile:
|
|
|
|
text = afile.read()
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
rpattern = list(c.keylist(pattern="@gnupg.org", secret=False))
|
|
|
|
logrus = []
|
|
|
|
|
|
|
|
for i in range(len(rpattern)):
|
|
|
|
if rpattern[i].can_encrypt == 1:
|
|
|
|
logrus.append(rpattern[i])
|
|
|
|
|
|
|
|
try:
|
|
|
|
ciphertext, result, sign_result = c.encrypt(text, recipients=logrus,
|
|
|
|
add_encrypt_to=True)
|
|
|
|
except gpg.errors.InvalidRecipients as e:
|
|
|
|
for i in range(len(e.recipients)):
|
|
|
|
for n in range(len(logrus)):
|
|
|
|
if logrus[n].fpr == e.recipients[i].fpr:
|
|
|
|
logrus.remove(logrus[n])
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
try:
|
|
|
|
ciphertext, result, sign_result = c.encrypt(text,
|
|
|
|
recipients=logrus,
|
|
|
|
add_encrypt_to=True)
|
|
|
|
with open("secret_plans.txt.asc", "wb") as afile:
|
|
|
|
afile.write(ciphertext)
|
|
|
|
except:
|
|
|
|
pass
|
|
|
|
|
|
|
|
This will attempt to encrypt to all the keys searched for, then remove
|
|
|
|
invalid recipients if it fails and try again.
|
|
|
|
|
|
|
|
.. _howto-basic-decryption:
|
|
|
|
|
|
|
|
Decryption
|
|
|
|
----------
|
|
|
|
|
|
|
|
Decrypting something encrypted to a key in one\'s secret keyring is
|
|
|
|
fairly straight forward.
|
|
|
|
|
|
|
|
In this example code, however, preconfiguring either ``gpg.Context()``
|
|
|
|
or ``gpg.core.Context()`` as ``c`` is unnecessary because there is no
|
|
|
|
need to modify the Context prior to conducting the decryption and since
|
|
|
|
the Context is only used once, setting it to ``c`` simply adds lines for
|
|
|
|
no gain.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
ciphertext = input("Enter path and filename of encrypted file: ")
|
|
|
|
newfile = input("Enter path and filename of file to save decrypted data to: ")
|
|
|
|
|
|
|
|
with open(ciphertext, "rb") as cfile:
|
|
|
|
try:
|
|
|
|
plaintext, result, verify_result = gpg.Context().decrypt(cfile)
|
|
|
|
except gpg.errors.GPGMEError as e:
|
|
|
|
plaintext = None
|
|
|
|
print(e)
|
|
|
|
|
|
|
|
if plaintext is not None:
|
|
|
|
with open(newfile, "wb") as nfile:
|
|
|
|
nfile.write(plaintext)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
The data available in ``plaintext`` in this example is the decrypted
|
|
|
|
content as a byte object, the recipient key IDs and algorithms in
|
|
|
|
``result`` and the results of verifying any signatures of the data in
|
|
|
|
``verify_result``.
|
|
|
|
|
|
|
|
.. _howto-basic-signing:
|
|
|
|
|
|
|
|
Signing text and files
|
|
|
|
----------------------
|
|
|
|
|
|
|
|
The following sections demonstrate how to specify keys to sign with.
|
|
|
|
|
|
|
|
.. _howto-basic-signing-signers:
|
|
|
|
|
|
|
|
Signing key selection
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
By default GPGME and the Python bindings will use the default key
|
|
|
|
configured for the user invoking the GPGME API. If there is no default
|
|
|
|
key specified and there is more than one secret key available it may be
|
|
|
|
necessary to specify the key or keys with which to sign messages and
|
|
|
|
files.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
logrus = input("Enter the email address or string to match signing keys to: ")
|
|
|
|
hancock = gpg.Context().keylist(pattern=logrus, secret=True)
|
|
|
|
sig_src = list(hancock)
|
|
|
|
|
|
|
|
The signing examples in the following sections include the explicitly
|
|
|
|
designated ``signers`` parameter in two of the five examples; once where
|
|
|
|
the resulting signature would be ASCII armoured and once where it would
|
|
|
|
not be armoured.
|
|
|
|
|
|
|
|
While it would be possible to enter a key ID or fingerprint here to
|
|
|
|
match a specific key, it is not possible to enter two fingerprints and
|
|
|
|
match two keys since the patten expects a string, bytes or None and not
|
|
|
|
a list. A string with two fingerprints won\'t match any single key.
|
|
|
|
|
|
|
|
.. _howto-basic-signing-normal:
|
|
|
|
|
|
|
|
Normal or default signing messages or files
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
The normal or default signing process is essentially the same as is most
|
|
|
|
often invoked when also encrypting a message or file. So when the
|
|
|
|
encryption component is not utilised, the result is to produce an
|
|
|
|
encoded and signed output which may or may not be ASCII armoured and
|
|
|
|
which may or may not also be compressed.
|
|
|
|
|
|
|
|
By default compression will be used unless GnuPG detects that the
|
|
|
|
plaintext is already compressed. ASCII armouring will be determined
|
|
|
|
according to the value of ``gpg.Context().armor``.
|
|
|
|
|
|
|
|
The compression algorithm is selected in much the same way as the
|
|
|
|
symmetric encryption algorithm or the hash digest algorithm is when
|
|
|
|
multiple keys are involved; from the preferences saved into the key
|
|
|
|
itself or by comparison with the preferences with all other keys
|
|
|
|
involved.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
text0 = """Declaration of ... something.
|
|
|
|
|
|
|
|
"""
|
|
|
|
text = text0.encode()
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True, signers=sig_src)
|
|
|
|
signed_data, result = c.sign(text, mode=gpg.constants.sig.mode.NORMAL)
|
|
|
|
|
|
|
|
with open("/path/to/statement.txt.asc", "w") as afile:
|
|
|
|
afile.write(signed_data.decode())
|
|
|
|
|
|
|
|
Though everything in this example is accurate, it is more likely that
|
|
|
|
reading the input data from another file and writing the result to a new
|
|
|
|
file will be performed more like the way it is done in the next example.
|
|
|
|
Even if the output format is ASCII armoured.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
with open("/path/to/statement.txt", "rb") as tfile:
|
|
|
|
text = tfile.read()
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
signed_data, result = c.sign(text, mode=gpg.constants.sig.mode.NORMAL)
|
|
|
|
|
|
|
|
with open("/path/to/statement.txt.sig", "wb") as afile:
|
|
|
|
afile.write(signed_data)
|
|
|
|
|
|
|
|
.. _howto-basic-signing-detached:
|
|
|
|
|
|
|
|
Detached signing messages and files
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Detached signatures will often be needed in programmatic uses of GPGME,
|
|
|
|
either for signing files (e.g. tarballs of code releases) or as a
|
|
|
|
component of message signing (e.g. PGP/MIME encoded email).
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
text0 = """Declaration of ... something.
|
|
|
|
|
|
|
|
"""
|
|
|
|
text = text0.encode()
|
|
|
|
|
|
|
|
c = gpg.Context(armor=True)
|
|
|
|
signed_data, result = c.sign(text, mode=gpg.constants.sig.mode.DETACH)
|
|
|
|
|
|
|
|
with open("/path/to/statement.txt.asc", "w") as afile:
|
|
|
|
afile.write(signed_data.decode())
|
|
|
|
|
|
|
|
As with normal signatures, detached signatures are best handled as byte
|
|
|
|
literals, even when the output is ASCII armoured.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
with open("/path/to/statement.txt", "rb") as tfile:
|
|
|
|
text = tfile.read()
|
|
|
|
|
|
|
|
c = gpg.Context(signers=sig_src)
|
|
|
|
signed_data, result = c.sign(text, mode=gpg.constants.sig.mode.DETACH)
|
|
|
|
|
|
|
|
with open("/path/to/statement.txt.sig", "wb") as afile:
|
|
|
|
afile.write(signed_data)
|
|
|
|
|
|
|
|
.. _howto-basic-signing-clear:
|
|
|
|
|
|
|
|
Clearsigning messages or text
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
Though PGP/in-line messages are no longer encouraged in favour of
|
|
|
|
PGP/MIME, there is still sometimes value in utilising in-line
|
|
|
|
signatures. This is where clear-signed messages or text is of value.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
text0 = """Declaration of ... something.
|
|
|
|
|
|
|
|
"""
|
|
|
|
text = text0.encode()
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
signed_data, result = c.sign(text, mode=gpg.constants.sig.mode.CLEAR)
|
|
|
|
|
|
|
|
with open("/path/to/statement.txt.asc", "w") as afile:
|
|
|
|
afile.write(signed_data.decode())
|
|
|
|
|
|
|
|
In spite of the appearance of a clear-signed message, the data handled
|
|
|
|
by GPGME in signing it must still be byte literals.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
with open("/path/to/statement.txt", "rb") as tfile:
|
|
|
|
text = tfile.read()
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
signed_data, result = c.sign(text, mode=gpg.constants.sig.mode.CLEAR)
|
|
|
|
|
|
|
|
with open("/path/to/statement.txt.asc", "wb") as afile:
|
|
|
|
afile.write(signed_data)
|
|
|
|
|
|
|
|
.. _howto-basic-verification:
|
|
|
|
|
|
|
|
Signature verification
|
|
|
|
----------------------
|
|
|
|
|
|
|
|
Essentially there are two principal methods of verification of a
|
|
|
|
signature. The first of these is for use with the normal or default
|
|
|
|
signing method and for clear-signed messages. The second is for use with
|
|
|
|
files and data with detached signatures.
|
|
|
|
|
|
|
|
The following example is intended for use with the default signing
|
|
|
|
method where the file was not ASCII armoured:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import time
|
|
|
|
|
|
|
|
filename = "statement.txt"
|
|
|
|
gpg_file = "statement.txt.gpg"
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
|
|
|
|
try:
|
|
|
|
data, result = c.verify(open(gpg_file))
|
|
|
|
verified = True
|
|
|
|
except gpg.errors.BadSignatures as e:
|
|
|
|
verified = False
|
|
|
|
print(e)
|
|
|
|
|
|
|
|
if verified is True:
|
|
|
|
for i in range(len(result.signatures)):
|
|
|
|
sign = result.signatures[i]
|
|
|
|
print("""Good signature from:
|
|
|
|
{0}
|
|
|
|
with key {1}
|
|
|
|
made at {2}
|
|
|
|
""".format(c.get_key(sign.fpr).uids[0].uid, sign.fpr,
|
|
|
|
time.ctime(sign.timestamp)))
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
Whereas this next example, which is almost identical would work with
|
|
|
|
normal ASCII armoured files and with clear-signed files:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import time
|
|
|
|
|
|
|
|
filename = "statement.txt"
|
|
|
|
asc_file = "statement.txt.asc"
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
|
|
|
|
try:
|
|
|
|
data, result = c.verify(open(asc_file))
|
|
|
|
verified = True
|
|
|
|
except gpg.errors.BadSignatures as e:
|
|
|
|
verified = False
|
|
|
|
print(e)
|
|
|
|
|
|
|
|
if verified is True:
|
|
|
|
for i in range(len(result.signatures)):
|
|
|
|
sign = result.signatures[i]
|
|
|
|
print("""Good signature from:
|
|
|
|
{0}
|
|
|
|
with key {1}
|
|
|
|
made at {2}
|
|
|
|
""".format(c.get_key(sign.fpr).uids[0].uid, sign.fpr,
|
|
|
|
time.ctime(sign.timestamp)))
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
In both of the previous examples it is also possible to compare the
|
|
|
|
original data that was signed against the signed data in ``data`` to see
|
|
|
|
if it matches with something like this:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
with open(filename, "rb") as afile:
|
|
|
|
text = afile.read()
|
|
|
|
|
|
|
|
if text == data:
|
|
|
|
print("Good signature.")
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
The following two examples, however, deal with detached signatures. With
|
|
|
|
his method of verification the data that was signed does not get
|
|
|
|
returned since it is already being explicitly referenced in the first
|
|
|
|
argument of ``c.verify``. So ``data`` is ``None`` and only the
|
|
|
|
information in ``result`` is available.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import time
|
|
|
|
|
|
|
|
filename = "statement.txt"
|
|
|
|
sig_file = "statement.txt.sig"
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
|
|
|
|
try:
|
|
|
|
data, result = c.verify(open(filename), open(sig_file))
|
|
|
|
verified = True
|
|
|
|
except gpg.errors.BadSignatures as e:
|
|
|
|
verified = False
|
|
|
|
print(e)
|
|
|
|
|
|
|
|
if verified is True:
|
|
|
|
for i in range(len(result.signatures)):
|
|
|
|
sign = result.signatures[i]
|
|
|
|
print("""Good signature from:
|
|
|
|
{0}
|
|
|
|
with key {1}
|
|
|
|
made at {2}
|
|
|
|
""".format(c.get_key(sign.fpr).uids[0].uid, sign.fpr,
|
|
|
|
time.ctime(sign.timestamp)))
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import time
|
|
|
|
|
|
|
|
filename = "statement.txt"
|
|
|
|
asc_file = "statement.txt.asc"
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
|
|
|
|
try:
|
|
|
|
data, result = c.verify(open(filename), open(asc_file))
|
|
|
|
verified = True
|
|
|
|
except gpg.errors.BadSignatures as e:
|
|
|
|
verified = False
|
|
|
|
print(e)
|
|
|
|
|
|
|
|
if verified is True:
|
|
|
|
for i in range(len(result.signatures)):
|
|
|
|
sign = result.signatures[i]
|
|
|
|
print("""Good signature from:
|
|
|
|
{0}
|
|
|
|
with key {1}
|
|
|
|
made at {2}
|
|
|
|
""".format(c.get_key(sign.fpr).uids[0].uid, sign.fpr,
|
|
|
|
time.ctime(sign.timestamp)))
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
.. _key-generation:
|
|
|
|
|
|
|
|
Creating keys and subkeys
|
|
|
|
=========================
|
|
|
|
|
|
|
|
The one thing, aside from GnuPG itself, that GPGME depends on, of
|
|
|
|
course, is the keys themselves. So it is necessary to be able to
|
|
|
|
generate them and modify them by adding subkeys, revoking or disabling
|
|
|
|
them, sometimes deleting them and doing the same for user IDs.
|
|
|
|
|
|
|
|
In the following examples a key will be created for the world\'s
|
|
|
|
greatest secret agent, Danger Mouse. Since Danger Mouse is a secret
|
|
|
|
agent he needs to be able to protect information to ``SECRET`` level
|
|
|
|
clearance, so his keys will be 3072-bit keys.
|
|
|
|
|
|
|
|
The pre-configured ``gpg.conf`` file which sets cipher, digest and other
|
|
|
|
preferences contains the following configuration parameters:
|
|
|
|
|
|
|
|
.. code:: conf
|
|
|
|
|
|
|
|
expert
|
|
|
|
allow-freeform-uid
|
|
|
|
allow-secret-key-import
|
|
|
|
trust-model tofu+pgp
|
|
|
|
tofu-default-policy unknown
|
|
|
|
enable-large-rsa
|
|
|
|
enable-dsa2
|
|
|
|
cert-digest-algo SHA512
|
|
|
|
default-preference-list TWOFISH CAMELLIA256 AES256 CAMELLIA192 AES192 CAMELLIA128 AES BLOWFISH IDEA CAST5 3DES SHA512 SHA384 SHA256 SHA224 RIPEMD160 SHA1 ZLIB BZIP2 ZIP Uncompressed
|
|
|
|
personal-cipher-preferences TWOFISH CAMELLIA256 AES256 CAMELLIA192 AES192 CAMELLIA128 AES BLOWFISH IDEA CAST5 3DES
|
|
|
|
personal-digest-preferences SHA512 SHA384 SHA256 SHA224 RIPEMD160 SHA1
|
|
|
|
personal-compress-preferences ZLIB BZIP2 ZIP Uncompressed
|
|
|
|
|
|
|
|
.. _keygen-primary:
|
|
|
|
|
|
|
|
Primary key
|
|
|
|
-----------
|
|
|
|
|
|
|
|
Generating a primary key uses the ``create_key`` method in a Context. It
|
|
|
|
contains multiple arguments and keyword arguments, including:
|
|
|
|
``userid``, ``algorithm``, ``expires_in``, ``expires``, ``sign``,
|
|
|
|
``encrypt``, ``certify``, ``authenticate``, ``passphrase`` and
|
|
|
|
``force``. The defaults for all of those except ``userid``,
|
|
|
|
``algorithm``, ``expires_in``, ``expires`` and ``passphrase`` is
|
|
|
|
``False``. The defaults for ``algorithm`` and ``passphrase`` is
|
|
|
|
``None``. The default for ``expires_in`` is ``0``. The default for
|
|
|
|
``expires`` is ``True``. There is no default for ``userid``.
|
|
|
|
|
|
|
|
If ``passphrase`` is left as ``None`` then the key will not be generated
|
|
|
|
with a passphrase, if ``passphrase`` is set to a string then that will
|
|
|
|
be the passphrase and if ``passphrase`` is set to ``True`` then
|
|
|
|
gpg-agent will launch pinentry to prompt for a passphrase. For the sake
|
|
|
|
of convenience, these examples will keep ``passphrase`` set to ``None``.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
|
|
|
|
c.home_dir = "~/.gnupg-dm"
|
|
|
|
userid = "Danger Mouse <dm@secret.example.net>"
|
|
|
|
|
|
|
|
dmkey = c.create_key(userid, algorithm="rsa3072", expires_in=31536000,
|
|
|
|
sign=True, certify=True)
|
|
|
|
|
|
|
|
One thing to note here is the use of setting the ``c.home_dir``
|
|
|
|
parameter. This enables generating the key or keys in a different
|
|
|
|
location. In this case to keep the new key data created for this example
|
|
|
|
in a separate location rather than adding it to existing and active key
|
|
|
|
store data. As with the default directory, ``~/.gnupg``, any temporary
|
|
|
|
or separate directory needs the permissions set to only permit access by
|
|
|
|
the directory owner. On posix systems this means setting the directory
|
|
|
|
permissions to 700.
|
|
|
|
|
|
|
|
The ``temp-homedir-config.py`` script in the HOWTO examples directory
|
|
|
|
will create an alternative homedir with these configuration options
|
|
|
|
already set and the correct directory and file permissions.
|
|
|
|
|
|
|
|
The successful generation of the key can be confirmed via the returned
|
|
|
|
``GenkeyResult`` object, which includes the following data:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
print("""
|
|
|
|
Fingerprint: {0}
|
|
|
|
Primary Key: {1}
|
|
|
|
Public Key: {2}
|
|
|
|
Secret Key: {3}
|
|
|
|
Sub Key: {4}
|
|
|
|
User IDs: {5}
|
|
|
|
""".format(dmkey.fpr, dmkey.primary, dmkey.pubkey, dmkey.seckey, dmkey.sub,
|
|
|
|
dmkey.uid))
|
|
|
|
|
|
|
|
Alternatively the information can be confirmed using the command line
|
|
|
|
program:
|
|
|
|
|
|
|
|
.. code:: shell
|
|
|
|
|
|
|
|
bash-4.4$ gpg --homedir ~/.gnupg-dm -K
|
|
|
|
~/.gnupg-dm/pubring.kbx
|
|
|
|
----------------------
|
|
|
|
sec rsa3072 2018-03-15 [SC] [expires: 2019-03-15]
|
|
|
|
177B7C25DB99745EE2EE13ED026D2F19E99E63AA
|
|
|
|
uid [ultimate] Danger Mouse <dm@secret.example.net>
|
|
|
|
|
|
|
|
bash-4.4$
|
|
|
|
|
|
|
|
As with generating keys manually, to preconfigure expanded preferences
|
|
|
|
for the cipher, digest and compression algorithms, the ``gpg.conf`` file
|
|
|
|
must contain those details in the home directory in which the new key is
|
|
|
|
being generated. I used a cut down version of my own ``gpg.conf`` file
|
|
|
|
in order to be able to generate this:
|
|
|
|
|
|
|
|
.. code:: shell
|
|
|
|
|
|
|
|
bash-4.4$ gpg --homedir ~/.gnupg-dm --edit-key 177B7C25DB99745EE2EE13ED026D2F19E99E63AA showpref quit
|
|
|
|
Secret key is available.
|
|
|
|
|
|
|
|
sec rsa3072/026D2F19E99E63AA
|
|
|
|
created: 2018-03-15 expires: 2019-03-15 usage: SC
|
|
|
|
trust: ultimate validity: ultimate
|
|
|
|
[ultimate] (1). Danger Mouse <dm@secret.example.net>
|
|
|
|
|
|
|
|
[ultimate] (1). Danger Mouse <dm@secret.example.net>
|
|
|
|
Cipher: TWOFISH, CAMELLIA256, AES256, CAMELLIA192, AES192, CAMELLIA128, AES, BLOWFISH, IDEA, CAST5, 3DES
|
|
|
|
Digest: SHA512, SHA384, SHA256, SHA224, RIPEMD160, SHA1
|
|
|
|
Compression: ZLIB, BZIP2, ZIP, Uncompressed
|
|
|
|
Features: MDC, Keyserver no-modify
|
|
|
|
|
|
|
|
bash-4.4$
|
|
|
|
|
|
|
|
.. _keygen-subkeys:
|
|
|
|
|
|
|
|
Subkeys
|
|
|
|
-------
|
|
|
|
|
|
|
|
Adding subkeys to a primary key is fairly similar to creating the
|
|
|
|
primary key with the ``create_subkey`` method. Most of the arguments are
|
|
|
|
the same, but not quite all. Instead of the ``userid`` argument there is
|
|
|
|
now a ``key`` argument for selecting which primary key to add the subkey
|
|
|
|
to.
|
|
|
|
|
|
|
|
In the following example an encryption subkey will be added to the
|
|
|
|
primary key. Since Danger Mouse is a security conscious secret agent,
|
|
|
|
this subkey will only be valid for about six months, half the length of
|
|
|
|
the primary key.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
c.home_dir = "~/.gnupg-dm"
|
|
|
|
|
|
|
|
key = c.get_key(dmkey.fpr, secret=True)
|
|
|
|
dmsub = c.create_subkey(key, algorithm="rsa3072", expires_in=15768000,
|
|
|
|
encrypt=True)
|
|
|
|
|
|
|
|
As with the primary key, the results here can be checked with:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
print("""
|
|
|
|
Fingerprint: {0}
|
|
|
|
Primary Key: {1}
|
|
|
|
Public Key: {2}
|
|
|
|
Secret Key: {3}
|
|
|
|
Sub Key: {4}
|
|
|
|
User IDs: {5}
|
|
|
|
""".format(dmsub.fpr, dmsub.primary, dmsub.pubkey, dmsub.seckey, dmsub.sub,
|
|
|
|
dmsub.uid))
|
|
|
|
|
|
|
|
As well as on the command line with:
|
|
|
|
|
|
|
|
.. code:: shell
|
|
|
|
|
|
|
|
bash-4.4$ gpg --homedir ~/.gnupg-dm -K
|
|
|
|
~/.gnupg-dm/pubring.kbx
|
|
|
|
----------------------
|
|
|
|
sec rsa3072 2018-03-15 [SC] [expires: 2019-03-15]
|
|
|
|
177B7C25DB99745EE2EE13ED026D2F19E99E63AA
|
|
|
|
uid [ultimate] Danger Mouse <dm@secret.example.net>
|
|
|
|
ssb rsa3072 2018-03-15 [E] [expires: 2018-09-13]
|
|
|
|
|
|
|
|
bash-4.4$
|
|
|
|
|
|
|
|
.. _keygen-uids:
|
|
|
|
|
|
|
|
User IDs
|
|
|
|
--------
|
|
|
|
|
|
|
|
.. _keygen-uids-add:
|
|
|
|
|
|
|
|
Adding User IDs
|
|
|
|
~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
By comparison to creating primary keys and subkeys, adding a new user ID
|
|
|
|
to an existing key is much simpler. The method used to do this is
|
|
|
|
``key_add_uid`` and the only arguments it takes are for the ``key`` and
|
|
|
|
the new ``uid``.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
c.home_dir = "~/.gnupg-dm"
|
|
|
|
|
|
|
|
dmfpr = "177B7C25DB99745EE2EE13ED026D2F19E99E63AA"
|
|
|
|
key = c.get_key(dmfpr, secret=True)
|
|
|
|
uid = "Danger Mouse <danger.mouse@secret.example.net>"
|
|
|
|
|
|
|
|
c.key_add_uid(key, uid)
|
|
|
|
|
|
|
|
Unsurprisingly the result of this is:
|
|
|
|
|
|
|
|
.. code:: shell
|
|
|
|
|
|
|
|
bash-4.4$ gpg --homedir ~/.gnupg-dm -K
|
|
|
|
~/.gnupg-dm/pubring.kbx
|
|
|
|
----------------------
|
|
|
|
sec rsa3072 2018-03-15 [SC] [expires: 2019-03-15]
|
|
|
|
177B7C25DB99745EE2EE13ED026D2F19E99E63AA
|
|
|
|
uid [ultimate] Danger Mouse <danger.mouse@secret.example.net>
|
|
|
|
uid [ultimate] Danger Mouse <dm@secret.example.net>
|
|
|
|
ssb rsa3072 2018-03-15 [E] [expires: 2018-09-13]
|
|
|
|
|
|
|
|
bash-4.4$
|
|
|
|
|
|
|
|
.. _keygen-uids-revoke:
|
|
|
|
|
2018-11-06 05:22:50 +00:00
|
|
|
Revoking User IDs
|
|
|
|
~~~~~~~~~~~~~~~~~
|
2018-10-03 21:09:40 +00:00
|
|
|
|
|
|
|
Revoking a user ID is a fairly similar process, except that it uses the
|
|
|
|
``key_revoke_uid`` method.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
c.home_dir = "~/.gnupg-dm"
|
|
|
|
|
|
|
|
dmfpr = "177B7C25DB99745EE2EE13ED026D2F19E99E63AA"
|
|
|
|
key = c.get_key(dmfpr, secret=True)
|
|
|
|
uid = "Danger Mouse <danger.mouse@secret.example.net>"
|
|
|
|
|
|
|
|
c.key_revoke_uid(key, uid)
|
|
|
|
|
|
|
|
.. _key-sign:
|
|
|
|
|
|
|
|
Key certification
|
|
|
|
-----------------
|
|
|
|
|
|
|
|
Since key certification is more frequently referred to as key signing,
|
|
|
|
the method used to perform this function is ``key_sign``.
|
|
|
|
|
|
|
|
The ``key_sign`` method takes four arguments: ``key``, ``uids``,
|
|
|
|
``expires_in`` and ``local``. The default value of ``uids`` is ``None``
|
|
|
|
and which results in all user IDs being selected. The default value of
|
|
|
|
both ``expires_in`` and ``local`` is ``False``; which results in the
|
|
|
|
signature never expiring and being able to be exported.
|
|
|
|
|
|
|
|
The ``key`` is the key being signed rather than the key doing the
|
|
|
|
signing. To change the key doing the signing refer to the signing key
|
|
|
|
selection above for signing messages and files.
|
|
|
|
|
|
|
|
If the ``uids`` value is not ``None`` then it must either be a string to
|
|
|
|
match a single user ID or a list of strings to match multiple user IDs.
|
|
|
|
In this case the matching of those strings must be precise and it is
|
|
|
|
case sensitive.
|
|
|
|
|
|
|
|
To sign Danger Mouse\'s key for just the initial user ID with a
|
|
|
|
signature which will last a little over a month, do this:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
uid = "Danger Mouse <dm@secret.example.net>"
|
|
|
|
|
|
|
|
dmfpr = "177B7C25DB99745EE2EE13ED026D2F19E99E63AA"
|
|
|
|
key = c.get_key(dmfpr, secret=True)
|
|
|
|
c.key_sign(key, uids=uid, expires_in=2764800)
|
|
|
|
|
2018-11-26 02:19:34 +00:00
|
|
|
.. _key-sign-verify:
|
|
|
|
|
|
|
|
Verifying key certifications
|
|
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import time
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
dmfpr = "177B7C25DB99745EE2EE13ED026D2F19E99E63AA"
|
|
|
|
keys = list(c.keylist(pattern=dmuid, mode=gpg.constants.keylist.mode.SIGS))
|
|
|
|
key = keys[0]
|
|
|
|
|
|
|
|
for user in key.uids:
|
|
|
|
for sig in user.signatures:
|
|
|
|
print("0x{0}".format(sig.keyid), "", time.ctime(sig.timestamp), "",
|
|
|
|
sig.uid)
|
|
|
|
|
|
|
|
Which for Danger Mouse displays the following:
|
|
|
|
|
|
|
|
::
|
|
|
|
|
|
|
|
0x92E3F6115435C65A Thu Mar 15 13:17:44 2018 Danger Mouse <dm@secret.example.net>
|
|
|
|
0x321E4E2373590E5D Mon Nov 26 12:46:05 2018 Ben McGinnes <ben@adversary.org>
|
|
|
|
|
|
|
|
The two key signatures listed are for the self-certification of Danger
|
|
|
|
Mouse\'s key made when the key was created in March, 2018; and the
|
|
|
|
second is a signature made by the author and set to expire at the end of
|
|
|
|
the year. Note that the second signature was made with the following
|
|
|
|
code (including the preceding code to display the output of the
|
|
|
|
certifications or key signatures):
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import math
|
|
|
|
import pendulum
|
|
|
|
import time
|
|
|
|
|
|
|
|
hd = "/home/dm/.gnupg"
|
|
|
|
c = gpg.Context()
|
|
|
|
d = gpg.Context(home_dir=hd)
|
|
|
|
dmfpr = "177B7C25DB99745EE2EE13ED026D2F19E99E63AA"
|
|
|
|
dmuid = "Danger Mouse <dm@secret.example.net>"
|
|
|
|
dkeys = list(c.keylist(pattern=dmuid))
|
|
|
|
dmkey = dkeys[0]
|
|
|
|
|
|
|
|
c.key_import(d.key_export(pattern=None))
|
|
|
|
|
|
|
|
tp = pendulum.period(pendulum.now(tz="local"), pendulum.datetime(2019, 1, 1))
|
|
|
|
ts = tp.total_seconds()
|
|
|
|
total_secs = math.ceil(ts)
|
|
|
|
c.key_sign(dmkey, uids=dmuid, expires_in=total_secs)
|
|
|
|
|
|
|
|
d.key_import(c.key_export(pattern=dmuid))
|
|
|
|
keys = list(c.keylist(pattern=dmuid, mode=gpg.constants.keylist.mode.SIGS))
|
|
|
|
key = keys[0]
|
|
|
|
|
|
|
|
for user in key.uids:
|
|
|
|
for sig in user.signatures:
|
|
|
|
print("0x{0}".format(sig.keyid), "", time.ctime(sig.timestamp), "",
|
|
|
|
sig.uid)
|
|
|
|
|
|
|
|
Note that this final code block includes the use of a module which is
|
|
|
|
*not* part of Python\'s standard library, the `pendulum
|
|
|
|
module <https://pendulum.eustace.io/>`__. Unlike the standard datetime
|
|
|
|
module, pendulum makes working with dates and times significantly easier
|
|
|
|
in Python; just as the requests module makes working with HTTP and HTTPS
|
|
|
|
easier than the builtin modules do.
|
|
|
|
|
|
|
|
Though neither requests nor pendulum are required modules for using the
|
|
|
|
GPGME Python bindings, they are both highly recommended more generally.
|
|
|
|
|
2018-10-03 21:09:40 +00:00
|
|
|
.. _advanced-use:
|
|
|
|
|
|
|
|
Advanced or Experimental Use Cases
|
|
|
|
==================================
|
|
|
|
|
|
|
|
.. _cython:
|
|
|
|
|
|
|
|
C plus Python plus SWIG plus Cython
|
|
|
|
-----------------------------------
|
|
|
|
|
|
|
|
In spite of the apparent incongruence of using Python bindings to a C
|
|
|
|
interface only to generate more C from the Python; it is in fact quite
|
|
|
|
possible to use the GPGME bindings with
|
|
|
|
`Cython <http://docs.cython.org/en/latest/index.html>`__. Though in many
|
|
|
|
cases the benefits may not be obvious since the most computationally
|
|
|
|
intensive work never leaves the level of the C code with which GPGME
|
|
|
|
itself is interacting with.
|
|
|
|
|
|
|
|
Nevertheless, there are some situations where the benefits are
|
|
|
|
demonstrable. One of the better and easier examples being the one of the
|
|
|
|
early examples in this HOWTO, the `key
|
|
|
|
counting <#howto-keys-counting>`__ code. Running that example as an
|
|
|
|
executable Python script, ``keycount.py`` (available in the
|
2018-11-08 05:34:27 +00:00
|
|
|
``examples/howto/`` directory), will take a noticeable amount of time to
|
2018-10-03 21:09:40 +00:00
|
|
|
run on most systems where the public keybox or keyring contains a few
|
|
|
|
thousand public keys.
|
|
|
|
|
|
|
|
Earlier in the evening, prior to starting this section, I ran that
|
|
|
|
script on my laptop; as I tend to do periodically and timed it using
|
|
|
|
``time`` utility, with the following results:
|
|
|
|
|
|
|
|
.. code:: shell
|
|
|
|
|
|
|
|
bash-4.4$ time keycount.py
|
|
|
|
|
|
|
|
Number of secret keys: 23
|
|
|
|
Number of public keys: 12112
|
|
|
|
|
|
|
|
|
|
|
|
real 11m52.945s
|
|
|
|
user 0m0.913s
|
|
|
|
sys 0m0.752s
|
|
|
|
|
|
|
|
bash-4.4$
|
|
|
|
|
|
|
|
Sometime after that I imported another key and followed it with a little
|
|
|
|
test of Cython. This test was kept fairly basic, essentially lifting the
|
|
|
|
material from the `Cython Basic
|
|
|
|
Tutorial <http://docs.cython.org/en/latest/src/tutorial/cython_tutorial.html>`__
|
|
|
|
to demonstrate compiling Python code to C. The first step was to take
|
|
|
|
the example key counting code quoted previously, essentially from the
|
|
|
|
importing of the ``gpg`` module to the end of the script:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
c = gpg.Context()
|
|
|
|
seckeys = c.keylist(pattern=None, secret=True)
|
|
|
|
pubkeys = c.keylist(pattern=None, secret=False)
|
|
|
|
|
|
|
|
seclist = list(seckeys)
|
|
|
|
secnum = len(seclist)
|
|
|
|
|
|
|
|
publist = list(pubkeys)
|
|
|
|
pubnum = len(publist)
|
|
|
|
|
|
|
|
print("""
|
|
|
|
Number of secret keys: {0}
|
|
|
|
Number of public keys: {1}
|
|
|
|
|
|
|
|
""".format(secnum, pubnum))
|
|
|
|
|
|
|
|
Save that into a file called ``keycount.pyx`` and then create a
|
|
|
|
``setup.py`` file which contains this:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
from distutils.core import setup
|
|
|
|
from Cython.Build import cythonize
|
|
|
|
|
|
|
|
setup(
|
|
|
|
ext_modules = cythonize("keycount.pyx")
|
|
|
|
)
|
|
|
|
|
|
|
|
Compile it:
|
|
|
|
|
|
|
|
.. code:: shell
|
|
|
|
|
|
|
|
bash-4.4$ python setup.py build_ext --inplace
|
|
|
|
bash-4.4$
|
|
|
|
|
|
|
|
Then run it in a similar manner to ``keycount.py``:
|
|
|
|
|
|
|
|
.. code:: shell
|
|
|
|
|
|
|
|
bash-4.4$ time python3.7 -c "import keycount"
|
|
|
|
|
|
|
|
Number of secret keys: 23
|
|
|
|
Number of public keys: 12113
|
|
|
|
|
|
|
|
|
|
|
|
real 6m47.905s
|
|
|
|
user 0m0.785s
|
|
|
|
sys 0m0.331s
|
|
|
|
|
|
|
|
bash-4.4$
|
|
|
|
|
|
|
|
Cython turned ``keycount.pyx`` into an 81KB ``keycount.o`` file in the
|
|
|
|
``build/`` directory, a 24KB ``keycount.cpython-37m-darwin.so`` file to
|
|
|
|
be imported into Python 3.7 and a 113KB ``keycount.c`` generated C
|
|
|
|
source code file of nearly three thousand lines. Quite a bit bigger than
|
|
|
|
the 314 bytes of the ``keycount.pyx`` file or the full 1,452 bytes of
|
|
|
|
the full executable ``keycount.py`` example script.
|
|
|
|
|
|
|
|
On the other hand it ran in nearly half the time; taking 6 minutes and
|
|
|
|
47.905 seconds to run. As opposed to the 11 minutes and 52.945 seconds
|
|
|
|
which the CPython script alone took.
|
|
|
|
|
|
|
|
The ``keycount.pyx`` and ``setup.py`` files used to generate this
|
|
|
|
example have been added to the ``examples/howto/advanced/cython/``
|
|
|
|
directory The example versions include some additional options to
|
|
|
|
annotate the existing code and to detect Cython\'s use. The latter comes
|
|
|
|
from the `Magic
|
|
|
|
Attributes <http://docs.cython.org/en/latest/src/tutorial/pure.html#magic-attributes-within-the-pxd>`__
|
|
|
|
section of the Cython documentation.
|
|
|
|
|
|
|
|
.. _cheats-and-hacks:
|
|
|
|
|
|
|
|
Miscellaneous extras and work-arounds
|
|
|
|
=====================================
|
|
|
|
|
|
|
|
Most of the things in the following sections are here simply because
|
|
|
|
there was no better place to put them, even though some are only
|
|
|
|
peripherally related to the GPGME Python bindings. Some are also
|
|
|
|
workarounds for functions not integrated with GPGME as yet. This is
|
|
|
|
especially true of the first of these, dealing with `group
|
|
|
|
lines <#group-lines>`__.
|
|
|
|
|
|
|
|
Group lines
|
|
|
|
-----------
|
|
|
|
|
|
|
|
There is not yet an easy way to access groups configured in the gpg.conf
|
|
|
|
file from within GPGME. As a consequence these central groupings of keys
|
|
|
|
cannot be shared amongst multiple programs, such as MUAs readily.
|
|
|
|
|
|
|
|
The following code, however, provides a work-around for obtaining this
|
|
|
|
information in Python.
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import subprocess
|
|
|
|
import sys
|
|
|
|
|
|
|
|
if sys.platform == "win32":
|
|
|
|
gpgconfcmd = "gpgconf.exe --list-options gpg"
|
|
|
|
else:
|
|
|
|
gpgconfcmd = "gpgconf --list-options gpg"
|
|
|
|
|
|
|
|
try:
|
|
|
|
lines = subprocess.getoutput(gpgconfcmd).splitlines()
|
|
|
|
except:
|
|
|
|
process = subprocess.Popen(gpgconfcmd.split(), stdout=subprocess.PIPE)
|
|
|
|
procom = process.communicate()
|
|
|
|
if sys.version_info[0] == 2:
|
|
|
|
lines = procom[0].splitlines()
|
|
|
|
else:
|
|
|
|
lines = procom[0].decode().splitlines()
|
|
|
|
|
|
|
|
for i in range(len(lines)):
|
|
|
|
if lines[i].startswith("group") is True:
|
|
|
|
line = lines[i]
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
groups = line.split(":")[-1].replace('"', '').split(',')
|
|
|
|
|
|
|
|
group_lines = []
|
|
|
|
group_lists = []
|
|
|
|
|
|
|
|
for i in range(len(groups)):
|
|
|
|
group_lines.append(groups[i].split("="))
|
|
|
|
group_lists.append(groups[i].split("="))
|
|
|
|
|
|
|
|
for i in range(len(group_lists)):
|
|
|
|
group_lists[i][1] = group_lists[i][1].split()
|
|
|
|
|
|
|
|
The result of that code is that ``group_lines`` is a list of lists where
|
|
|
|
``group_lines[i][0]`` is the name of the group and ``group_lines[i][1]``
|
|
|
|
is the key IDs of the group as a string.
|
|
|
|
|
|
|
|
The ``group_lists`` result is very similar in that it is a list of
|
|
|
|
lists. The first part, ``group_lists[i][0]`` matches
|
|
|
|
``group_lines[i][0]`` as the name of the group, but
|
2018-11-06 05:22:50 +00:00
|
|
|
``group_lists[i][1]`` is the key IDs of the group as a list.
|
2018-10-03 21:09:40 +00:00
|
|
|
|
|
|
|
A demonstration of using the ``groups.py`` module is also available in
|
|
|
|
the form of the executable ``mutt-groups.py`` script. This second script
|
|
|
|
reads all the group entries in a user\'s ``gpg.conf`` file and converts
|
|
|
|
them into crypt-hooks suitable for use with the Mutt and Neomutt mail
|
|
|
|
clients.
|
|
|
|
|
|
|
|
.. _hkp4py:
|
|
|
|
|
|
|
|
Keyserver access for Python
|
|
|
|
---------------------------
|
|
|
|
|
|
|
|
The `hkp4py <https://github.com/Selfnet/hkp4py>`__ module by Marcel Fest
|
|
|
|
was originally a port of the old
|
|
|
|
`python-hkp <https://github.com/dgladkov/python-hkp>`__ module from
|
|
|
|
Python 2 to Python 3 and updated to use the
|
|
|
|
`requests <http://docs.python-requests.org/en/latest/index.html>`__
|
|
|
|
module instead. It has since been modified to provide support for Python
|
|
|
|
2.7 as well and is available via PyPI.
|
|
|
|
|
|
|
|
Since it rewrites the ``hkp`` protocol prefix as ``http`` and ``hkps``
|
|
|
|
as ``https``, the module is able to be used even with servers which do
|
2018-10-04 16:30:20 +00:00
|
|
|
not support the full scope of keyserver functions. [5]_ It also works
|
2018-10-03 21:09:40 +00:00
|
|
|
quite readily when incorporated into a `Cython <#cython>`__ generated
|
|
|
|
and compiled version of any code.
|
|
|
|
|
|
|
|
.. _hkp4py-strings:
|
|
|
|
|
|
|
|
Key import format
|
|
|
|
~~~~~~~~~~~~~~~~~
|
|
|
|
|
|
|
|
The hkp4py module returns key data via requests as string literals
|
|
|
|
(``r.text``) instead of byte literals (``r.content``). This means that
|
|
|
|
the retrurned key data must be encoded to UTF-8 when importing that key
|
|
|
|
material using a ``gpg.Context().key_import()`` method.
|
|
|
|
|
|
|
|
For this reason an alternative method has been added to the ``search``
|
|
|
|
function of ``hkp4py.KeyServer()`` which returns the key in the correct
|
|
|
|
format as expected by ``key_import``. When importing using this module,
|
|
|
|
it is now possible to import with this:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
for key in keys:
|
|
|
|
if key.revoked is False:
|
|
|
|
gpg.Context().key_import(key.key_blob)
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
|
|
|
|
Without that recent addition it would have been necessary to encode the
|
|
|
|
contents of each ``hkp4py.KeyServer().search()[i].key`` in
|
|
|
|
``hkp4py.KeyServer().search()`` before trying to import it.
|
|
|
|
|
|
|
|
An example of this is included in the `Importing
|
|
|
|
Keys <#howto-import-key>`__ section of this HOWTO and the corresponding
|
|
|
|
executable version of that example is available in the
|
|
|
|
``lang/python/examples/howto`` directory as normal; the executable
|
|
|
|
version is the ``import-keys-hkp.py`` file.
|
|
|
|
|
2018-11-22 09:00:12 +00:00
|
|
|
.. _gpgme-version-check:
|
|
|
|
|
|
|
|
GPGME version checking
|
|
|
|
----------------------
|
|
|
|
|
|
|
|
For various reasons it may be necessary to check which version of GPGME
|
|
|
|
the bindings have been built against; including whether a minimum
|
|
|
|
required version of GPGME is in use.
|
|
|
|
|
|
|
|
For the most part the ``gpg.version.versionstr`` and
|
|
|
|
``gpg.version.versionlist`` methods have been quite sufficient. The
|
|
|
|
former returns the same string as ``gpgme-config --version``, while the
|
|
|
|
latter returns the major, minor and patch values in a list.
|
|
|
|
|
|
|
|
To check if the installed bindings have actually been built against the
|
|
|
|
current installed libgpgme version, this check can be performed:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
import subprocess
|
|
|
|
import sys
|
|
|
|
|
|
|
|
gpgme_version_call = subprocess.Popen(["gpgme-config", "--version"],
|
|
|
|
stdout=subprocess.PIPE,
|
|
|
|
stderr=subprocess.PIPE)
|
|
|
|
gpgme_version_str = gpgme_version_call.communicate()
|
|
|
|
|
|
|
|
if sys.version_info[0] == 2:
|
|
|
|
gpgme_version = gpgme_version_str[0].strip()
|
|
|
|
elif sys.version_info[0] >= 3:
|
|
|
|
gpgme_version = gpgme_version_str[0].decode().strip()
|
|
|
|
else:
|
|
|
|
gpgme_version = None
|
|
|
|
|
|
|
|
if gpgme_version is not None:
|
|
|
|
if gpgme_version == gpg.version.versionstr:
|
|
|
|
print("The GPGME Python bindings match libgpgme.")
|
|
|
|
else:
|
|
|
|
print("The GPGME Python bindings do NOT match libgpgme.")
|
|
|
|
else:
|
|
|
|
print("Upgrade Python and reinstall the GPGME Python bindings.")
|
|
|
|
|
|
|
|
For many developers, however, the preferred checking means checking for
|
|
|
|
a minimum version or point release. This is now readily available via
|
|
|
|
the ``gpg.version.versionintlist`` method (added in version
|
|
|
|
``1.12.1-beta79``). It is also now possible to easily check whether the
|
|
|
|
installed GPGME Python bindings were built from a development or beta
|
|
|
|
branch of the GPGME source code.
|
|
|
|
|
|
|
|
The following code demonstrates how both of those methods may be used:
|
|
|
|
|
|
|
|
.. code:: python
|
|
|
|
|
|
|
|
import gpg
|
|
|
|
|
|
|
|
try:
|
|
|
|
if gpg.version.is_beta is True:
|
|
|
|
print("The installed GPGME Python bindings were built from beta code.")
|
|
|
|
else:
|
|
|
|
print("The installed GPGME Python bindings are a released version.")
|
|
|
|
except Exception as e:
|
|
|
|
print(e)
|
|
|
|
|
|
|
|
try:
|
|
|
|
if gpg.version.versionintlist[0] == 1:
|
|
|
|
if gpg.version.versionintlist[1] == 12:
|
|
|
|
if gpg.version.versionintlist[2] == 1:
|
|
|
|
print("This is the minimum version for using versionintlist.")
|
|
|
|
elif gpg.version.versionintlist[2] > 1:
|
|
|
|
print("The versionintlist method is available.")
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
elif gpg.version.versionintlist[1] > 12:
|
|
|
|
print("The versionintlist method is available.")
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
elif gpg.version.versionintlist[0] > 1:
|
|
|
|
print("The versionintlist method is available.")
|
|
|
|
else:
|
|
|
|
pass
|
|
|
|
except Exception as e:
|
|
|
|
print(e)
|
|
|
|
|
|
|
|
The points where ``pass`` is used in the above example will most likely
|
|
|
|
also produce an ``Exception`` error since those results should only
|
|
|
|
occur in versions which do not have the ``gpgme.version.is_beta`` and
|
|
|
|
``gpgme.version.versionintlist`` methods available.
|
|
|
|
|
2018-10-03 21:09:40 +00:00
|
|
|
.. _copyright-and-license:
|
|
|
|
|
|
|
|
Copyright and Licensing
|
|
|
|
=======================
|
|
|
|
|
|
|
|
Copyright
|
|
|
|
---------
|
|
|
|
|
|
|
|
Copyright © The GnuPG Project, 2018.
|
|
|
|
|
|
|
|
Copyright (C) The GnuPG Project, 2018.
|
|
|
|
|
|
|
|
.. _draft-editions:
|
|
|
|
|
|
|
|
Draft Editions of this HOWTO
|
|
|
|
----------------------------
|
|
|
|
|
|
|
|
Draft editions of this HOWTO may be periodically available directly from
|
|
|
|
the author at any of the following URLs:
|
|
|
|
|
|
|
|
- `GPGME Python Bindings HOWTO draft (XHTML AWS S3
|
|
|
|
SSL) <https://files.au.adversary.org/crypto/gpgme-python-howto.html>`__
|
|
|
|
- `GPGME Python Bindings HOWTO draft (XHTML AWS S3 no
|
|
|
|
SSL) <http://files.au.adversary.org/crypto/gpgme-python-howto.html>`__
|
|
|
|
- `GPGME Python Bindings HOWTO draft (Texinfo file AWS S3
|
|
|
|
SSL) <https://files.au.adversary.org/crypto/gpgme-python-howto.texi>`__
|
|
|
|
- `GPGME Python Bindings HOWTO draft (Texinfo file AWS S3 no
|
|
|
|
SSL) <http://files.au.adversary.org/crypto/gpgme-python-howto.texi>`__
|
|
|
|
- `GPGME Python Bindings HOWTO draft (Info file AWS S3
|
|
|
|
SSL) <https://files.au.adversary.org/crypto/gpgme-python-howto.info>`__
|
|
|
|
- `GPGME Python Bindings HOWTO draft (Info file AWS S3 no
|
|
|
|
SSL) <http://files.au.adversary.org/crypto/gpgme-python-howto.info>`__
|
|
|
|
- `GPGME Python Bindings HOWTO draft (reST file AWS S3
|
|
|
|
SSL) <https://files.au.adversary.org/crypto/gpgme-python-howto.rst>`__
|
|
|
|
- `GPGME Python Bindings HOWTO draft (reST file AWS S3 no
|
|
|
|
SSL) <http://files.au.adversary.org/crypto/gpgme-python-howto.rst>`__
|
|
|
|
|
|
|
|
All of these draft versions except for one have been generated from this
|
|
|
|
document via Emacs `Org mode <https://orgmode.org/>`__ and `GNU
|
|
|
|
Texinfo <https://www.gnu.org/software/texinfo/>`__. Though it is likely
|
|
|
|
that the specific
|
2018-11-06 05:22:50 +00:00
|
|
|
`file <https://files.au.adversary.org/crypto/gpgme-python-howto>`__
|
2018-10-03 21:09:40 +00:00
|
|
|
`version <http://files.au.adversary.org/crypto/gpgme-python-howto.org>`__
|
|
|
|
used will be on the same server with the generated output formats.
|
|
|
|
|
|
|
|
The one exception is the reStructuredText version, which was converted
|
|
|
|
using the latest version of Pandoc from the Org mode source file using
|
2018-11-06 05:22:50 +00:00
|
|
|
either of the following two commands:
|
2018-10-03 21:09:40 +00:00
|
|
|
|
|
|
|
.. code:: shell
|
|
|
|
|
2018-11-22 09:00:12 +00:00
|
|
|
pandoc -f org -t rst+smart -o gpgme-python-howto.rst gpgme-python-howto.org
|
|
|
|
pandoc -f org -t rst+smart -o gpgme-python-howto.rst gpgme-python-howto
|
2018-10-03 21:09:40 +00:00
|
|
|
|
|
|
|
In addition to these there is a significantly less frequently updated
|
|
|
|
version as a HTML `WebHelp
|
|
|
|
site <https://files.au.adversary.org/crypto/gpgme-python-howto/webhelp/index.html>`__
|
|
|
|
(AWS S3 SSL); generated from DITA XML source files, which can be found
|
|
|
|
in `an alternative
|
|
|
|
branch <https://dev.gnupg.org/source/gpgme/browse/ben%252Fhowto-dita/>`__
|
|
|
|
of the GPGME git repository.
|
|
|
|
|
|
|
|
These draft editions are not official documents and the version of
|
|
|
|
documentation in the master branch or which ships with released versions
|
|
|
|
is the only official documentation. Nevertheless, these draft editions
|
|
|
|
may occasionally be of use by providing more accessible web versions
|
|
|
|
which are updated between releases. They are provided on the
|
|
|
|
understanding that they may contain errors or may contain content
|
|
|
|
subject to change prior to an official release.
|
|
|
|
|
|
|
|
.. _license:
|
|
|
|
|
|
|
|
License GPL compatible
|
|
|
|
----------------------
|
|
|
|
|
|
|
|
This file is free software; as a special exception the author gives
|
|
|
|
unlimited permission to copy and/or distribute it, with or without
|
|
|
|
modifications, as long as this notice is preserved.
|
|
|
|
|
|
|
|
This file is distributed in the hope that it will be useful, but WITHOUT
|
|
|
|
ANY WARRANTY, to the extent permitted by law; without even the implied
|
|
|
|
warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
|
|
|
|
|
|
|
|
Footnotes
|
|
|
|
=========
|
|
|
|
|
|
|
|
.. [1]
|
2018-11-06 05:22:50 +00:00
|
|
|
``short-history`` and/or ``short-history.html``.
|
2018-10-03 21:09:40 +00:00
|
|
|
|
|
|
|
.. [2]
|
|
|
|
With no issues reported specific to Python 3.7, the release of Python
|
|
|
|
3.7.1 at around the same time as GPGME 1.12.0 and the testing with
|
|
|
|
Python 3.7.1rc1, there is no reason to delay moving 3.7 ahead of 3.6
|
|
|
|
now. Production environments with more conservative requirements will
|
|
|
|
always enforce their own policies anyway and installation to each
|
|
|
|
supported minor release is quite possible too.
|
|
|
|
|
2018-10-04 16:30:20 +00:00
|
|
|
.. [3]
|
2018-10-03 21:09:40 +00:00
|
|
|
Yes, even if you use virtualenv with everything you do in Python. If
|
|
|
|
you want to install this module as just your user account then you
|
|
|
|
will need to manually configure, compile and install the *entire*
|
|
|
|
GnuPG stack as that user as well. This includes libraries which are
|
|
|
|
not often installed that way. It can be done and there are
|
|
|
|
circumstances under which it is worthwhile, but generally only on
|
|
|
|
POSIX systems which utilise single user mode (some even require it).
|
|
|
|
|
2018-10-04 16:30:20 +00:00
|
|
|
.. [4]
|
2018-10-03 21:09:40 +00:00
|
|
|
You probably don\'t really want to do this. Searching the keyservers
|
|
|
|
for \"gnupg.org\" produces over 400 results, the majority of which
|
|
|
|
aren\'t actually at the gnupg.org domain, but just included a comment
|
|
|
|
regarding the project in their key somewhere.
|
|
|
|
|
2018-10-04 16:30:20 +00:00
|
|
|
.. [5]
|
2018-10-03 21:09:40 +00:00
|
|
|
Such as with ProtonMail servers. This also means that restricted
|
|
|
|
servers which only advertise either HTTP or HTTPS end points and not
|
|
|
|
HKP or HKPS end points must still be identified as as HKP or HKPS
|
|
|
|
within the Python Code. The ``hkp4py`` module will rewrite these
|
|
|
|
appropriately when the connection is made to the server.
|