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Contents The gettext translation system enables you to mark any strings used in your
application as subject to localization, by wrapping them in functions such as
gettext(str) and ngettext(singular, plural, num). For brevity, the
gettext function is often aliased to _(str), so you can write: instead of just: to make the string "Hello" localizable. Message catalogs are collections of translations for such localizable messages
used in an application. They are commonly stored in PO (Portable Object) and MO
(Machine Object) files, the formats of which are defined by the GNU gettext
tools and the GNU translation project. The general procedure for building message catalogs looks something like this: Python provides the gettext module as part of the standard library, which
enables applications to work with appropriately generated MO files. As gettext provides a solid and well supported foundation for translating
application messages, Babel does not reinvent the wheel, but rather reuses this
infrastructure, and makes it easier to build message catalogs for Python
applications. Babel provides functionality similar to that of the xgettext program,
except that only extraction from Python source files is built-in, while support
for other file formats can be added using a simple extension mechanism. Unlike xgettext, which is usually invoked once for every file, the routines
for message extraction in Babel operate on directories. While the per-file
approach of xgettext works nicely with projects using a Makefile,
Python projects rarely use make, and thus a different mechanism is needed
for extracting messages from the heterogeneous collection of source files that
many Python projects are composed of. When message extraction is based on directories instead of individual files,
there needs to be a way to configure which files should be treated in which
manner. For example, while many projects may contain .html files, some of
those files may be static HTML files that don't contain localizable message,
while others may be Django templates, and still others may contain Genshi
markup templates. Some projects may even mix HTML files for different templates
languages (for whatever reason). Therefore the way in which messages are
extracted from source files can not only depend on the file extension, but
needs to be controllable in a precise manner. Babel accepts a configuration file to specify this mapping of files to
extraction methods, which is described below. Babel provides two different front-ends to access its functionality for working
with message catalogs: Which one you choose depends on the nature of your project. For most modern
Python projects, the distutils/setuptools integration is probably more
convenient. The mapping of extraction methods to files in Babel is done via a configuration
file. This file maps extended glob patterns to the names of the extraction
methods, and can also set various options for each pattern (which options are
available depends on the specific extraction method). For example, the following configuration adds extraction of messages from both
Genshi markup templates and text templates: The configuration file syntax is based on the format commonly found in .INI
files on Windows systems, and as supported by the ConfigParser module in
the Python standard library. Section names (the strings enclosed in square
brackets) specify both the name of the extraction method, and the extended glob
pattern to specify the files that this extraction method should be used for,
separated by a colon. The options in the sections are passed to the extraction
method. Which options are available is specific to the extraction method used. The extended glob patterns used in this configuration are similar to the glob
patterns provided by most shells. A single asterisk (*) is a wildcard for
any number of characters (except for the pathname component separator "/"),
while a question mark (?) only matches a single character. In addition,
two subsequent asterisk characters (**) can be used to make the wildcard
match any directory level, so the pattern **.txt matches any file with the
extension .txt in any directory. Lines that start with a # or ; character are ignored and can be used
for comments. Empty lines are ignored, too. Note if you're performing message extraction using the command Babel
provides for integration into setup.py scripts, you can also
provide this configuration in a different way, namely as a keyword
argument to the setup() function. See Distutils/Setuptools
Integration for more information. Babel comes with only two builtin extractors: python (which extracts
messages from Python source files) and ignore (which extracts nothing). The python extractor is by default mapped to the glob pattern **.py,
meaning it'll be applied to all files with the .py extension in any
directory. If you specify your own mapping configuration, this default mapping
is discarded, so you need to explicitly add it to your mapping (as shown in the
example above.) To be able to use short extraction method names such as “genshi”, you need to
have pkg_resources installed, and the package implementing that extraction
method needs to have been installed with its meta data (the egg-info). If this is not possible for some reason, you need to map the short names to
fully qualified function names in an extract section in the mapping
configuration. For example: Note that the builtin extraction methods python and ignore are available
by default, even if pkg_resources is not installed. You should never need to
explicitly define them in the [extractors] section. Adding new methods for extracting localizable methods is easy. First, you'll
need to implement a function that complies with the following interface: Note Any strings in the tuples produced by this function must be either
unicode objects, or str objects using plain ASCII characters.
That means that if sources contain strings using other encodings, it
is the job of the extractor implementation to do the decoding to
unicode objects. Next, you should register that function as an entry point. This requires your
setup.py script to use setuptools, and your package to be installed with
the necessary metadata. If that's taken care of, add something like the
following to your setup.py script: That is, add your extraction method to the entry point group
babel.extractors, where the name of the entry point is the name that people
will use to reference the extraction method, and the value being the module and
the name of the function (separated by a colon) implementing the actual
extraction. Note As shown in Referencing Extraction Methods, declaring an entry
point is not strictly required, as users can still reference the
extraction function directly. But whenever possible, the entry point
should be declared to make configuration more convenient. First of all what are comments tags. Comments tags are excerpts of text to
search for in comments, only comments, right before the python gettext
calls, as shown on the following example: The comments tag for the above example would be NOTE:, and the translator
comment for that tag would be This is a comment about `Foo Bar`. The resulting output in the catalog template would be something like: Now, you might ask, why would I need that? Consider this simple case; you have a menu item called “manual”. You know what
it means, but when the translator sees this they will wonder did you mean: This is the simplest case where a translation comment such as
“The installation manual” helps to clarify the situation and makes a translator
more productive. Note Whether translator comments can be extracted depends on the extraction
method in use. The Python extractor provided by Babel does implement
this feature, but others may not.Working with Message Catalogs
1 Introduction
2 Message Extraction
2.1 Front-Ends
2.2 Extraction Method Mapping and Configuration
2.2.1 Default Extraction Methods
2.2.2 Referencing Extraction Methods
2.3 Writing Extraction Methods
2.4 Translator Comments
#. This is a comment about `Foo Bar`
#: main.py:2
msgid "Foo Bar"
msgstr ""