This is doc/pyconfigure.info, produced by makeinfo version 4.13 from ./doc/pyconfigure.texi. This manual is for pyconfigure (version 0.1, updated 25 November 2012). Copyright (C) 2012 Brandon Invergo Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License." INFO-DIR-SECTION Miscellaneous START-INFO-DIR-ENTRY * pyconfigure: (pyconfigure)GNU Standards-compliant Python configuration and installation END-INFO-DIR-ENTRY File: pyconfigure.info, Node: Top, Next: Introduction, Prev: (dir), Up: (dir) GNU Source Release Collection ***************************** This manual is for pyconfigure (version 0.1, 25 November 2012). * Menu: * Introduction:: * Using pyconfigure:: * Appendix:: * GNU Free Documentation License:: --- The Detailed Node Listing --- Introduction * Configuring Python packages:: Using pyconfigure * Required macros:: * Verifying the Python version:: * Checking for a module or function:: * Writing test programs:: * Using Sphinxbuild to build documentation:: Appendix * Autoconf Macros File: pyconfigure.info, Node: Introduction, Next: Using pyconfigure, Prev: Top, Up: Top 1 Introduction ************** Python packages typically are configured and installed through the use of `distutils' or one of its derivatives. The user performs necessary actions via a Python script called `setup.py'. For simple programs, this is straight-forward. However, for more complex software packages, especially for those which also include code in other languages such as C or Fortran, the limitations of the `distutils' method quickly become apparent. The configuration and installation of GNU software and many other programs, on the other hand, is done according to the use of standard `configure' scripts and Make recipes. This method has the advantage of being language-agnostic, very flexible, time-proven. pyconfigure consists of all the files necessary to use the standard GNU build process to configure and install Python packages. Without modification, pyconfigure provides a wrapper around `setup.py', which allows the user to use the familiar GNU installation commands to install a Python package. With the powerful Autoconf macros that it provides, a Python developer can greatly extend or even replace altogether the capabilities of `setup.py'. Plus, since this method is language-agnostic, all the power of Autoconf for compiled languages is gained for free. * Menu: * Configuring Python packages:: File: pyconfigure.info, Node: Configuring Python packages, Prev: Introduction, Up: Introduction 1.1 Configuring Python packages =============================== Configuring and installing Python packages which use pyconfigure follows the familiar steps of all standard GNU software: $ ./configure $ make $ make install In fact, since most programs do not have anything to build, the second step could usually be skipped. As usual, the user may pass arguments to `configure' in order to specify how she wants the software to be installed. By default, `configure' takes the following useful arguments: Argument Description -------------------------------------------------------------------------- `--prefix' Set the root directory in which to install files (default=/usr/local) `--with-virtualenv'Install to a virtualenv at `$prefix' `PYTHON' Path to the Python interpreter to use `PYTHONPATH' The PYTHONPATH to use during the installation However, as the developer is expected to customize these files, the final `configure' script may take many more arguments. The developer is expected to provide proper documentation in this case. File: pyconfigure.info, Node: Using pyconfigure, Next: Appendix, Prev: Introduction, Up: Top 2 Using pyconfigure ******************* While it is possible to simply copy the pyconfigure files from the `src' directory into your project's source directory and use them unmodified, it is recommended that you customize them to more appropriately fit your needs. In particular, you will want to customize `configure.ac' and `Makefile.in'. `configure.ac' contains a series of macros which are used by Autoconf to build a portable `configure' shell script. This script either guesses important system settings or is provided them by the user. When the user invokes `configure', it uses `Makefile.in' as a template to create the Make recipe `Makefile'. There are some minimum modifications that should be made. In `configure.ac' you will see a macro called `AC_INIT'. You should enter your project's name as the first argument to this macro, its current version as the second argument and, optionally, an email address in the third argument. These three values are used extensively in the files modified by the configure script, so it is important that you modify them. You will probably also want to provide package metadata, which will be used by Python packaging-related tools. You can do that in two files: `PKG-INFO.in' and `setup.py.in'. `setup.py.in' provides a skeleton `setup.py' which should be sufficient for most packages. `PKG-INFO' is a file used in Python packaging to express package metadata and must be included in any source distribution of a package. You may also use it to register a project on PyPI (the Python Package Index; http://pypi.python.org). In both `PKG-INFO.in' and `setup.py.in', you can see that some values will be automatically filled in by `configure'. You should fill in the rest yourself. See the Python distutils documentation for more information. If you intend to produce source distributions via the `Makefile', which is more flexible than doing so via `setup.py', it is important to modify the `DIST_FILES' variable in `Makefile.in'. Any file or directory you list there will be included in your source distribution. While the default `configure' script will likely be sufficient for a basic Python-based project, it may be made much more powerful for packages with more complex needs. To that end, several Autoconf macros are provided in the pyconfigure file `src/m4/python.m4' to allow the developer to write robust tests *Note Autoconf macros::. Note that when you distribute your software, you must include this directory and file with your distribution if you also distribute your `configure.ac' file. Once you modify your `configure.ac' to your liking, you must regenerate your `configure' script with autoreconf: $ autoreconf -fvi A full explanation of the general use of Autoconf macros is beyond the scope of this document, however it is worth presenting some examples. * Menu: * Required macros:: * Verifying the Python version:: * Checking for a module or function:: * Writing test programs:: * Using Sphinxbuild to build documentation:: File: pyconfigure.info, Node: Required macros, Next: Verifying the Python version, Prev: Using pyconfigure, Up: Using pyconfigure 2.1 Required macros =================== Several macros are required in `configure.ac' to use pyconfigure. These are: m4_include([m4/python.m4]) This macro imports all of the Python Autoconf macros. If you choose to write your own macros for other purposes, you would also include them in this manner. AC_INIT(project_name, project_version) This initializes Autoconf and also substitutes your project name and version in any output that it generates. AC_CONFIG_MACRO_DIR([m4]) Now that Autoconf is initialized, we inform it of the location of our macros. AC_PROG_PYTHON This is the key macro. It finds the highest-version Python interpreter available on the system and saves its path in the `PYTHON' variable. PC_PYTHON_SITE_PACKAGE_DIR PC_PYTHON_EXEC_PACKAGE_DIR These two macros figure out where Python expects packages to be installed (i.e. `/usr/lib/python2.7/site-packages/') and saves them in the variables `pkgpythondir' and `pkgpyexecdir', respectively, for use in `Makefile.in' File: pyconfigure.info, Node: Verifying the Python version, Next: Checking for a module or function, Prev: Required macros, Up: Using pyconfigure 2.2 Verifying the Python version ================================ As described in the previous section, `AC_PROG_PYTHON' finds the Python interpreter with the highest version installed on the system. Often, you will want to be sure that the user has some minimum version installed. There is a macro available to simplify this, `PC_PYTHON_VERIFY_VERSION'. m4_define(python_min_ver, 2.6.1) PC_PYTHON_VERIFY_VERSION([$PYTHON], python_min_ver, , [AC_MSG_ERROR(Python interpreter too old)]) In this example, we set the minimum version to 2.6.1 through the use of an M4 macro. We then check if the interpreter stored in the `PYTHON' variable (either set by the user or found by `AC_PROG_PYTHON') is at least of that version. If it is not, the resulting `configure' script will exit with an appropriate error message. Unfortunately, the divide between Python 2 and Python 3 and many programs are only compatible with Python 2. Since `AC_PROG_PYTHON' will find the latest Python interpreter, if the user has any Python version 3.x installed, `configure' must be able to instead find the most latest 2.x version installed. This is slightly less straight-forward, but one possible implementation is as follows: AC_PROG_PYTHON([python2]) if [[ "x$PYTHON" == "x" ]]; then AC_PROG_PYTHON PC_PYTHON_VERIFY_VERSION(3.0, , AC_MSG_ERROR(Python 2 (python_min_ver+) is required)) fi PC_PYTHON_VERIFY_VERSION(python_min_ver, , AC_MSG_ERROR(Python 2 (python_min_ver+) is required)) We first check to see if Python is version 3.0 or greater. If it is, we create a list of compatible Python interpreters and manually check for them using standard Autoconf macros. Finally, we check if the interpreter that we found this time is of sufficient version, otherwise `configure' will halt with an error. Likewise, if no appropriate interpreter was found, an error message will be printed and `configure' will stop. File: pyconfigure.info, Node: Checking for a module or function, Next: Writing test programs, Prev: Verifying the Python version, Up: Using pyconfigure 2.3 Checking for a module or function ===================================== It's reasonable to assume that many Python packages will have dependencies on other, external modules. With the provided pyconfigure macros, this is simple. All you have to do is use the `PC_PYTHON_CHECK_MODULE' macro as follows: PC_PYTHON_CHECK_MODULE([foo]) If the module is a hard requirement, you may provide actions to do if it is not present: PC_PYTHON_CHECK_MODULE([foo], , AC_MSG_ERROR([Module foo is not installed])) If you need more fine-grained control, you can also test for a specific function: PC_PYTHON_CHECK_FUNC([foo], [bar], [arg1, arg2]) Remember that you may omit arguments to Autoconf macros: in the above example, the final two arguments, which correspond to the action to take if the test is successful and if it fails simply are not present in the argument list. Similarly, if you do not need to pass arguments to the test function, you can entirely omit the third argument to the macro: PC_PYTHON_CHECK_FUNC([foo], [bar]) File: pyconfigure.info, Node: Writing test programs, Next: Using Sphinxbuild to build documentation, Prev: Checking for a module or function, Up: Using pyconfigure 2.4 Writing test programs ========================= One great benefit of Autoconf is the ability to embed test programs inside `configure'. The pyconfigure macros allow for this by defining Python as a language within Autoconf. You then would proceed to write test programs as you would in any other language that Autoconf supports like C. AC_LANG_PUSH(Python)[] AC_RUN_IFELSE([AC_LANG_PROGRAM([dnl # some code here import foo ], [dnl # some more code here foo.bar() ])], [ACTION-IF-SUCCESSFUL], [ACTION-IF-FAILED]) AC_LANG_POP(Python)[] The first argument to `AC_LANG_PROGRAM' is the so-called "prolog", and typically will contain your `import' statements or function definitions. The second argument contains the main body of the program, which will be in the scope of an `if __name__=="__main__":' block. So, you must be sure to indent the code appropriately. File: pyconfigure.info, Node: Using Sphinxbuild to build documentation, Prev: Writing test programs, Up: Using pyconfigure 2.5 Using Sphinxbuild to build documentation ============================================ Using pyconfigure and Autoconf to test for other tools is quite easy. For example, many Python packages use Sphinxbuild to build their documentation. If this is the case for your project, you might do something like the following: AC_CHECK_PROGS([SPHINXBUILD], [sphinx-build sphinx-build3 sphinx-build2], [no]) AS_IF([test "x$SPHINXBUILD" = xno], AC_MSG_WARN(sphinx-build is required to build documentation)) We simply use Autoconf's `AC_CHECK_PROGS' macro to check for a series of possible Sphinxbuild binaries and save the result to the SPHINXBUILD variable, which may then be used in `Makefile.in': docs/build/index.html: $(wildcard $(srcdir)/docs/source/*) ifneq ($(SPHINXBUILD),no) $(SPHINXBUILD) -b html docs/source/ docs/build/ endif File: pyconfigure.info, Node: Appendix, Next: GNU Free Documentation License, Prev: Using pyconfigure, Up: Top 3 Appendix ********** * Menu: * Autoconf macros:: File: pyconfigure.info, Node: Autoconf macros, Up: Appendix 3.1 Autoconf macros =================== Macro Name & Arguments Description Variables exported --------------------------------------------------------------------------- `AC_PROG_PYTHON([NAME-TO-CHECK])'Find a Python `PYTHON' interpreter `PC_PROG_PYTHON_CONFIG([NAME-TO-CHECK])'Find a python-config `PYTHON_CONFIG' program `PC_PYTHON_VERIFY_VERSION(VERSION,Verify that the Python [ACTION-IF-TRUE], interpreter is of a [ACTION-IF-NOT-TRUE])' sufficient version number `PC_PYTHON_CHECK_VERSION'Get the version of the `PYTHON_VERSION' Python interpreter `PC_PYTHON_CHECK_PREFIX' Check what Python `PYTHON_PREFIX' thinks is the prefix `PC_PYTHON_CHECK_EXEC_PREFIX'Check what Python `PYTHON_EXEC_PREFIX' thinks is the exec_prefix `PC_PYTHON_CHECK_INCLUDES'Check the include flags `PYTHON_INCLUDES' ('-I[header]...') for including the Python header files `PC_PYTHON_CHECK_HEADERS'Check for the Python `HAVE_PYTHON_H' header files (i.e. `Python.h') `PC_PYTHON_CHECK_LIBS' Check for the proper `PYTHON_LIBS' LIBS flags to load the Python shared libraries `PC_PYTHON_TEST_LIBS' Test for the presence `HAVE_LIBPYTHON' of the Python shared libraries `PC_PYTHON_CHECK_CFLAGS' Find the CFLAGS that `PYTHON_CFLAGS' Python expects `PC_PYTHON_CHECK_LDFLAGS'Find the LDFLAGS that `PYTHON_LDFLAGS' Python expects `PC_PYTHON_CHECK_EXTENSION_SUFFIX'Check the extension `PYTHON_EXTENSION_SUFFIX' suffix given to Python extension modules (Python 3 only) `PC_PYTHON_CHECK_ABI_FLAGS'Check the ABI flags `PC_PYTHON_ABI_FLAGS' used by Python (Python 3 only) `PC_PYTHON_CHECK_PLATFORM'Check what platform Python thinks this is `PYTHON_PLATFORM' `PC_PYTHON_CHECK_SITE_DIR'Check the appropriate `pythondir' place to install Python packages (i.e. `$(prefix)/lib/python2.7/site-packages') `PC_PYTHON_SITE_PACKAGE_DIR'A convenience macro; `pkgpythondir' adds the package's name to `pythondir' `PC_PYTHON_CHECK_EXEC_DIR'Check directory for `pyexecdir' installing Python extension modules `PC_PYTHON_EXEC_PACKAGE_DIR'A convenience macro; `pkgpyexecdir' adds the package's name to `pyexecdir' `PC_PYTHON_CHECK_MODULE' Test if a given Python module can be successfully loaded `PC_PYTHON_CHECK_FUNC' Test if a given Python function can be called successfully. File: pyconfigure.info, Node: GNU Free Documentation License, Prev: Appendix, Up: Top Appendix A GNU Free Documentation License ***************************************** Version 1.3, 3 November 2008 Copyright (C) 2000, 2001, 2002, 2007, 2008 Free Software Foundation, Inc. `http://fsf.org/' Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. 0. PREAMBLE The purpose of this License is to make a manual, textbook, or other functional and useful document "free" in the sense of freedom: to assure everyone the effective freedom to copy and redistribute it, with or without modifying it, either commercially or noncommercially. Secondarily, this License preserves for the author and publisher a way to get credit for their work, while not being considered responsible for modifications made by others. This License is a kind of "copyleft", which means that derivative works of the document must themselves be free in the same sense. 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Tag Table: Node: Top769 Node: Introduction1371 Node: Configuring Python packages2802 Node: Using pyconfigure4026 Node: Required macros7153 Node: Verifying the Python version8333 Node: Checking for a module or function10476 Node: Writing test programs11696 Node: Using Sphinxbuild to build documentation12790 Node: Appendix13800 Node: Autoconf macros13971 Node: GNU Free Documentation License17669 End Tag Table