doc/FAQ.txt - master - valemobil/lxml

doc/FAQ.txt
1 294 строки57 KB
Stefan Behnel
FAQ: Minor name fix.
21 янв 2024, 23:26
21 янв 2024, 23:26d901ad9
=====================================
lxml FAQ - Frequently Asked Questions
=====================================

.. meta::
  :description: Frequently Asked Questions about lxml (FAQ)
  :keywords: lxml, lxml.etree, FAQ, frequently asked questions

Frequently asked questions on lxml.  See also the notes on compatibility_ to
ElementTree_.

.. _compatibility: compatibility.html
.. _ElementTree:   http://effbot.org/zone/element-index.htm
.. _`build instructions`: build.html
.. _`MacOS-X` : build.html#building-lxml-on-macos-x

.. contents::
..
   1  General Questions
     1.1  Is there a tutorial?
     1.2  Where can I find more documentation about lxml?
     1.3  What standards does lxml implement?
     1.4  Who uses lxml?
     1.5  What is the difference between lxml.etree and lxml.objectify?
     1.6  How can I make my application run faster?
     1.7  What about that trailing text on serialised Elements?
     1.8  How can I find out if an Element is a comment or PI?
     1.9  How can I map an XML tree into a dict of dicts?
     1.10 Why does lxml sometimes return 'str' values for text in Python 2?
     1.11 Why do I get XInclude or DTD lookup failures on some systems but not on others?
     1.12 How do namespaces work in lxml?
   2  Installation
     2.1  Which version of libxml2 and libxslt should I use or require?
     2.2  Where are the binary builds?
     2.3  Why do I get errors about missing UCS4 symbols when installing lxml?
     2.4  My C compiler crashes on installation
   3  Contributing
     3.1  Why is lxml not written in Python?
     3.2  How can I contribute?
   4  Bugs
     4.1  My application crashes!
     4.2  My application crashes on MacOS-X!
     4.3  I think I have found a bug in lxml. What should I do?
     4.4  How do I know a bug is really in lxml and not in libxml2?
     4.5 My application crashes with xmlsec!
   5  Threading
     5.1  Can I use threads to concurrently access the lxml API?
     5.2  Does my program run faster if I use threads?
     5.3  Would my single-threaded program run faster if I turned off threading?
     5.4  Why can't I reuse XSLT stylesheets in other threads?
     5.5  My program crashes when run with mod_python/Pyro/Zope/Plone/...
   6  Parsing and Serialisation
     6.1  Why doesn't the ``pretty_print`` option reformat my XML output?
     6.2  Why can't lxml parse my XML from unicode strings?
     6.3  Can lxml parse from file objects opened in unicode mode?
     6.4  What is the difference between str(xslt(doc)) and xslt(doc).write() ?
     6.5  Why can't I just delete parents or clear the root node in iterparse()?
     6.6  How do I output null characters in XML text?
     6.7  Is lxml vulnerable to XML bombs?
     6.8  How do I configure lxml safely as a web-service endpoint?
     6.9  How can I sort the attributes?
   7  XPath and Document Traversal
     7.1  What are the ``findall()`` and ``xpath()`` methods on Element(Tree)?
     7.2  Why doesn't ``findall()`` support full XPath expressions?
     7.3  How can I find out which namespace prefixes are used in a document?
     7.4  How can I specify a default namespace for XPath expressions?
     7.5  How can I modify the tree during iteration?


The code examples below use the `'lxml.etree`` module:

.. sourcecode:: pycon

   >>> from lxml import etree

..
  >>> import sys
  >>> _etree = etree
  >>> if sys.version_info[0] >= 3:
  ...   class etree_mock(object):
  ...     def __getattr__(self, name): return getattr(_etree, name)
  ...     def tostring(self, *args, **kwargs):
  ...       s = _etree.tostring(*args, **kwargs)
  ...       if isinstance(s, bytes): s = s.decode("utf-8") # CR
  ...       if s[-1] == '\n': s = s[:-1]
  ...       return s
  ... else:
  ...   class etree_mock(object):
  ...     def __getattr__(self, name): return getattr(_etree, name)
  ...     def tostring(self, *args, **kwargs):
  ...       s = _etree.tostring(*args, **kwargs)
  ...       if s[-1] == '\n': s = s[:-1]
  ...       return s
  >>> etree = etree_mock()


General Questions
=================

Is there a tutorial?
--------------------

Read the `lxml.etree Tutorial`_.  While this is still work in progress
(just as any good documentation), it provides an overview of the most
important concepts in ``lxml.etree``.  If you want to help out,
improving the tutorial is a very good place to start.

There is also a `tutorial for ElementTree`_ which works for
``lxml.etree``.  The documentation of the `extended etree API`_ also
contains many examples for ``lxml.etree``.  Fredrik Lundh's `element
library`_ contains a lot of nice recipes that show how to solve common
tasks in ElementTree and lxml.etree.  To learn using
``lxml.objectify``, read the `objectify documentation`_.

John Shipman has written another tutorial called `Python XML
processing with lxml`_ that contains lots of examples.  Liza Daly
wrote a nice article about high-performance aspects when `parsing
large files with lxml`_.

.. _`lxml.etree Tutorial`:      tutorial.html
.. _`tutorial for ElementTree`: https://web.archive.org/web/20200720191942/https://effbot.org/zone/element.htm
.. _`extended etree API`:        api.html
.. _`objectify documentation`:  objectify.html
.. _`Python XML processing with lxml`: https://web.archive.org/web/20190522191656/http://infohost.nmt.edu/tcc/help/pubs/pylxml/web/index.html
.. _`element library`:          https://web.archive.org/web/20200703234431/http://www.effbot.org/zone/element-lib.htm
.. _`parsing large files with lxml`: http://www.ibm.com/developerworks/xml/library/x-hiperfparse/


Where can I find more documentation about lxml?
-----------------------------------------------

There is a lot of documentation on the web and also in the Python
standard library documentation, as lxml implements the well-known
`ElementTree API`_ and tries to follow its documentation as closely as
possible.  The recipes in Fredrik Lundh's `element library`_ are
generally worth taking a look at.  There are a couple of issues where
lxml cannot keep up compatibility.  They are described in the
compatibility_ documentation.

The lxml specific extensions to the API are described by individual
files in the ``doc`` directory of the source distribution and on `the
web page`_.

The `generated API documentation`_ is a comprehensive API reference
for the lxml package.

.. _`ElementTree API`: https://web.archive.org/web/20200703191710/http://www.effbot.org/zone/element-index.htm
.. _`the web page`:    https://lxml.de/#documentation
.. _`generated API documentation`: api/index.html


What standards does lxml implement?
-----------------------------------

The compliance to XML Standards depends on the support in libxml2 and libxslt.
Here is a quote from `http://xmlsoft.org/ <http://xmlsoft.org/>`_:

  In most cases libxml2 tries to implement the specifications in a relatively
  strictly compliant way. As of release 2.4.16, libxml2 passed all 1800+ tests
  from the OASIS XML Tests Suite.

lxml currently supports libxml2 2.6.20 or later, which has even better
support for various XML standards.  The important ones are:

* XML 1.0
* HTML 4
* XML namespaces
* XML Schema 1.0
* XPath 1.0
* XInclude 1.0
* XSLT 1.0
* EXSLT
* XML catalogs
* canonical XML
* RelaxNG
* xml:id
* xml:base

Support for XML Schema is currently not 100% complete in libxml2, but
is definitely very close to compliance.  Schematron is supported in
two ways, the best being the original ISO Schematron reference
implementation via XSLT.  libxml2 also supports loading documents
through HTTP and FTP.

For `RelaxNG Compact Syntax <http://relaxng.org/compact-tutorial-20030326.html>`_
support, there is a tool called `rnc2rng <http://www.gnosis.cx/download/relax/>`_,
written by David Mertz, which you might be able to use from Python.  Failing
that, `trang <http://code.google.com/p/jing-trang/>`_ is the 'official'
command line tool (written in Java) to do the conversion.


Who uses lxml?
--------------

As an XML library, lxml is often used under the hood of in-house
server applications, such as web servers or applications that
facilitate some kind of content management.  Many people who deploy
Zope_, Plone_ or Django_ use it together with lxml in the background,
without speaking publicly about it.  Therefore, it is hard to get an
idea of who uses it, and the following list of 'users and projects we
know of' is very far from a complete list of lxml's users.

Also note that the compatibility to the ElementTree library does not
require projects to set a hard dependency on lxml - as long as they do
not take advantage of lxml's enhanced feature set.

* `cssutils <http://code.google.com/p/cssutils/source/browse/trunk/examples/style.py?r=917>`_,
  a CSS parser and toolkit, can be used with ``lxml.cssselect``
* `Deliverance <http://www.openplans.org/projects/deliverance/project-home>`_,
  a content theming tool
* `Enfold Proxy 4 <http://www.enfoldsystems.com/Products/Proxy/4>`_,
  a web server accelerator with on-the-fly XSLT processing
* `Inteproxy <http://lists.wald.intevation.org/pipermail/inteproxy-devel/2007-February/000000.html>`_,
  a secure HTTP proxy
* `lwebstring <http://pypi.python.org/pypi/lwebstring>`_,
  an XML template engine
* `openpyxl <https://openpyxl.readthedocs.io/>`_,
  a library to read/write MS Excel 2007 files
* `OpenXMLlib <http://permalink.gmane.org/gmane.comp.python.lxml.devel/3250>`_,
  a library for handling OpenXML document meta data
* `PsychoPy <http://www.psychopy.org/>`_,
  psychology software in Python
* `Pycoon <http://pypi.python.org/pypi/pycoon>`_,
  a WSGI web development framework based on XML pipelines
* `pycsw <http://pycsw.org>`_,
  an `OGC CSW <http://opengeospatial.org/standards/cat>`_ server implementation written in Python
* `PyQuery <http://pypi.python.org/pypi/pyquery>`_,
  a query framework for XML/HTML, similar to jQuery for JavaScript
* `python-docx <http://github.com/mikemaccana/python-docx>`_,
  a package for handling Microsoft's Word OpenXML format
* `Rambler <https://www.rambler.ru/>`_,
  news aggregator on Runet
* `rdfadict <http://pypi.python.org/pypi/rdfadict>`_,
  an RDFa parser with a simple dictionary-like interface.
* `xupdate-processor <http://pypi.python.org/pypi/xupdate-processor>`_,
  an XUpdate implementation for lxml.etree
* `Diazo <http://docs.diazo.org/>`_,
  an XSLT-under-the-hood web site theming engine

Zope3 and some of its extensions have good support for lxml:

* `gocept.lxml <http://pypi.python.org/pypi/gocept.lxml>`_,
  Zope3 interface bindings for lxml
* `z3c.rml <http://pypi.python.org/pypi/z3c.rml>`_,
  an implementation of ReportLab's RML format
* `zif.sedna <http://pypi.python.org/pypi/zif.sedna>`_,
  an XQuery based interface to the Sedna OpenSource XML database

And don't miss the quotes by our generally happy_ users_, and other
`sites that link to lxml`_.   As `Liza Daly`_ puts it: "Many software
products come with the pick-two caveat, meaning that you must choose
only two: speed, flexibility, or readability.  When used carefully,
lxml can provide all three."

.. _Zope: http://www.zope.org/
.. _Plone: http://www.plone.org/
.. _Django: https://www.djangoproject.com/

.. _happy: http://thread.gmane.org/gmane.comp.python.lxml.devel/3244/focus=3244
.. _users: http://article.gmane.org/gmane.comp.python.lxml.devel/3246
.. _`sites that link to lxml`: http://www.google.com/search?as_lq=http:%2F%2Flxml.de%2F
.. _`Liza Daly`: http://www.ibm.com/developerworks/xml/library/x-hiperfparse/


What is the difference between lxml.etree and lxml.objectify?
-------------------------------------------------------------

The two modules provide different ways of handling XML.  However, objectify
builds on top of lxml.etree and therefore inherits most of its capabilities
and a large portion of its API.

* lxml.etree is a generic API for XML and HTML handling.  It aims for
  ElementTree compatibility_ and supports the entire XML infoset.  It is well
  suited for both mixed content and data centric XML.  Its generality makes it
  the best choice for most applications.

* lxml.objectify is a specialized API for XML data handling in a Python object
  syntax.  It provides a very natural way to deal with data fields stored in a
  structurally well defined XML format.  Data is automatically converted to
  Python data types and can be manipulated with normal Python operators.  Look
  at the examples in the `objectify documentation`_ to see what it feels like
  to use it.

  Objectify is not well suited for mixed contents or HTML documents.  As it is
  built on top of lxml.etree, however, it inherits the normal support for
  XPath, XSLT or validation.


How can I make my application run faster?
-----------------------------------------

lxml.etree is a very fast library for processing XML.  There are, however, `a
few caveats`_ involved in the mapping of the powerful libxml2 library to the
simple and convenient ElementTree API.  Not all operations are as fast as the
simplicity of the API might suggest, while some use cases can heavily benefit
from finding the right way of doing them.  The `benchmark page`_ has a
comparison to other ElementTree implementations and a number of tips for
performance tweaking.  As with any Python application, the rule of thumb is:
the more of your processing runs in C, the faster your application gets.  See
also the section on threading_.

.. _`a few caveats`:  performance.html#the-elementtree-api
.. _`benchmark page`: performance.html
.. _threading:        #threading


What about that trailing text on serialised Elements?
-----------------------------------------------------

The ElementTree tree model defines an Element as a container with a tag name,
contained text, child Elements and a tail text.  This means that whenever you
serialise an Element, you will get all parts of that Element:

.. sourcecode:: pycon

    >>> root = etree.XML("<root><tag>text<child/></tag>tail</root>")
    >>> print(etree.tostring(root[0]))
    <tag>text<child/></tag>tail

Here is an example that shows why not serialising the tail would be
even more surprising from an object point of view:

.. sourcecode:: pycon

    >>> root = etree.Element("test")

    >>> root.text = "TEXT"
    >>> print(etree.tostring(root))
    <test>TEXT</test>

    >>> root.tail = "TAIL"
    >>> print(etree.tostring(root))
    <test>TEXT</test>TAIL

    >>> root.tail = None
    >>> print(etree.tostring(root))
    <test>TEXT</test>

Just imagine a Python list where you append an item and it doesn't
show up when you look at the list.

The ``.tail`` property is a huge simplification for the tree model as
it avoids text nodes to appear in the list of children and makes
access to them quick and simple.  So this is a benefit in most
applications and simplifies many, many XML tree algorithms.

However, in document-like XML (and especially HTML), the above result can be
unexpected to new users and can sometimes require a bit more overhead.  A good
way to deal with this is to use helper functions that copy the Element without
its tail.  The ``lxml.html`` package also deals with this in a couple of
places, as most HTML algorithms benefit from a tail-free behaviour.


How can I find out if an Element is a comment or PI?
----------------------------------------------------

.. sourcecode:: pycon

    >>> root = etree.XML("<?my PI?><root><!-- empty --></root>")

    >>> root.tag
    'root'
    >>> root.getprevious().tag is etree.PI
    True
    >>> root[0].tag is etree.Comment
    True


How can I map an XML tree into a dict of dicts?
-----------------------------------------------

I'm glad you asked.

.. sourcecode:: python

    def recursive_dict(element):
         return element.tag, \
                dict(map(recursive_dict, element)) or element.text

Note that this beautiful quick-and-dirty converter expects children
to have unique tag names and will silently overwrite any data that
was contained in preceding siblings with the same name.  For any
real-world application of xml-to-dict conversion, you would better
write your own, longer version of this.


Why does lxml sometimes return 'str' values for text in Python 2?
-----------------------------------------------------------------

In Python 2, lxml's API returns byte strings for plain ASCII text
values, be it for tag names or text in Element content.  This is the
same behaviour as known from ElementTree.  The reasoning is that ASCII
encoded byte strings are compatible with Unicode strings in Python 2,
but consume less memory (usually by a factor of 2 or 4) and are faster
to create because they do not require decoding.  Plain ASCII string
values are very common in XML, so this optimisation is generally worth
it.

In Python 3, lxml always returns Unicode strings for text and names,
as does ElementTree.  Since Python 3.3, Unicode strings containing
only characters that can be encoded in ASCII or Latin-1 are generally
as efficient as byte strings.  In older versions of Python 3, the
above mentioned drawbacks apply.


Why do I get XInclude or DTD lookup failures on some systems but not on others?
-------------------------------------------------------------------------------

To avoid network access, external resources are first looked up in
`XML catalogues <https://www.oasis-open.org/committees/entity/spec.html>`_.
Many systems have them installed by default, but some don't.
On Linux systems, the default place to look is the index file
``/etc/xml/catalog``, which most importantly provides a mapping from
doctype IDs to locally installed DTD files.

See the `libxml2 catalogue documentation <http://xmlsoft.org/catalog.html>`_
for further information.


How do namespaces work in lxml?
-------------------------------

The same as in ElementTree.  See the `tutorial <tutorial.html#namespaces>`_.


Installation
============

Which version of libxml2 and libxslt should I use or require?
-------------------------------------------------------------

It really depends on your application, but the rule of thumb is: more recent
versions contain less bugs and provide more features.

* Do not use the stock libxml2 versions 2.9.11 or 2.9.12.  They are incompatible
  with lxml and lead to excess output on serialisation.  For static builds
  against 2.9.12, lxml automatically downloads a post-release version that
  contains a work-around.

* Try to use versions of both libraries that were released together.  At least
  the libxml2 version should not be older than the libxslt version.

* If you use XML Schema or Schematron which are still under development, the
  most recent version of libxml2 is usually a good bet.

* The same applies to XPath, where a substantial number of bugs and memory
  leaks were fixed over time.  If you encounter crashes or memory leaks in
  XPath applications, try a more recent version of libxml2.

* For the normal tree handling, however, any libxml2 version starting with
  2.7.x should do.

Read the `release notes of libxml2`_ and the `release notes of libxslt`_ to
see when (or if) a specific bug has been fixed.

.. _`release notes of libxml2`: http://xmlsoft.org/news.html
.. _`release notes of libxslt`: http://xmlsoft.org/XSLT/news.html


Where are the binary builds?
----------------------------

We provide binaries for Linux (`manylinux`_), macOS and MS Windows
shortly after each source release.

Thanks to the help by Maximilian Hils and the Appveyor build service,
we try to serve the frequent requests for binary builds available
for Microsoft Windows in a timely fashion, since users of that platform
usually fail to build lxml themselves.  Two of the major design issues
of this operating system make this non-trivial for its users: the lack
of a pre-installed standard C-compiler and the missing package management.

We currently rely on the `WinLibs project <https://github.com/orgs/winlibs>`_
to provide library versions that are buildable on MS Windows.  If the library
that we use in lxml's Windows binary wheels is outdated, it is probably because
they have not updated their repositories yet. Consider filing a ticket on their
side and notifying us when a new version is available, so that we can integrate it.

.. _manylinux: https://www.python.org/dev/peps/pep-0513


Why do I get errors about missing UCS4 symbols when installing lxml?
--------------------------------------------------------------------

You are using a Python installation that was configured for a different
internal Unicode representation than the lxml package you are trying to
install.  CPython versions before 3.3 allowed to switch between two types
at build time: the 32 bit encoding UCS4 and the 16 bit encoding UCS2.
Sadly, both are not compatible, so eggs and other binary distributions
can only support the one they were compiled with.

This means that you have to compile lxml from sources for your system.  Note
that you do not need Cython for this, the lxml source distribution is directly
compilable on both platform types.  See the `build instructions`_ on how to do
this.


My C compiler crashes on installation
-------------------------------------

lxml consists of a relatively large amount of (Cython) generated C code
in a single source module.  Compiling this module requires a lot of free
memory, usually more than half a GB, which can pose problems especially on
shared/cloud build systems.

If your C compiler crashes while building lxml from sources, consider
using one of the binary wheels that we provide.  The "manylinux_" binaries
should generally work well on most build systems and install substantially
faster than a source build.


Contributing
============

Why is lxml not written in Python?
----------------------------------

It *almost* is.

lxml is not written in plain Python, because it interfaces with two C
libraries: libxml2 and libxslt.  Accessing them at the C-level is
required for performance reasons.

However, to avoid writing plain C-code and caring too much about the
details of built-in types and reference counting, lxml is written in
Cython_, a superset of the Python language that translates to C-code.
Chances are that if you know Python, you can write `code that Cython
accepts`_.  Again, the C-ish style used in the lxml code is just for
performance optimisations.  If you want to contribute, don't bother
with the details, a Python implementation of your contribution is
better than none.  And keep in mind that lxml's flexible API often
favours an implementation of features in pure Python, without
bothering with C-code at all.  For example, the ``lxml.html`` package
is written entirely in Python.

Please contact the `mailing list`_ if you need any help.

.. _Cython: http://cython.org/
.. _`code that Cython accepts`: http://docs.cython.org/docs/tutorial.html


How can I contribute?
---------------------

If you find something that you would like lxml to do (or do better),
then please tell us about it on the `mailing list`_.  Pull requests
on github are always appreciated, especially when accompanied by unit
tests and documentation (doctests would be great).  See the ``tests``
subdirectories in the lxml source tree (below the ``src`` directory)
and the ReST_ `text files`_ in the ``doc`` directory.

We also have a `list of missing features`_ that we would like to
implement but didn't due to lack if time.  If *you* find the time,
patches are very welcome.

.. _ReST: http://docutils.sourceforge.net/rst.html
.. _`text files`: https://github.com/lxml/lxml/tree/master/doc
.. _`list of missing features`: https://github.com/lxml/lxml/blob/master/IDEAS.txt

Besides enhancing the code, there are a lot of places where you can help the
project and its user base.  You can

* spread the word and write about lxml.  Many users (especially new Python
  users) have not yet heard about lxml, although our user base is constantly
  growing.  If you write your own blog and feel like saying something about
  lxml, go ahead and do so.  If we think your contribution or criticism is
  valuable to other users, we may even put a link or a quote on the project
  page.

* provide code examples for the general usage of lxml or specific problems
  solved with lxml.  Readable code is a very good way of showing how a library
  can be used and what great things you can do with it.  Again, if we hear
  about it, we can set a link on the project page.

* work on the documentation.  The web page is generated from a set of ReST_
  `text files`_.  It is meant both as a representative project page for lxml
  and as a site for documenting lxml's API and usage.  If you have questions
  or an idea how to make it more readable and accessible while you are reading
  it, please send a comment to the `mailing list`_.

* enhance the web site. We put some work into making the web site
  usable, understandable and also easy to find, but there's always
  things that can be done better.  You may notice that we are not
  top-ranked when searching the web for "Python and XML", so maybe you
  have an idea how to improve that.

* help with the tutorial.  A tutorial is the most important starting point for
  new users, so it is important for us to provide an easy to understand guide
  into lxml.  As all documentation, the tutorial is work in progress, so we
  appreciate every helping hand.

* improve the docstrings.  lxml uses docstrings to support Python's integrated
  online ``help()`` function.  However, sometimes these are not sufficient to
  grasp the details of the function in question.  If you find such a place,
  you can try to write up a better description and send it to the `mailing
  list`_.


Bugs
====

My application crashes!
-----------------------

One of the goals of lxml is "no segfaults", so if there is no clear
warning in the documentation that you were doing something potentially
harmful, you have found a bug and we would like to hear about it.
Please report this bug to the `mailing list`_.  See the section on bug
reporting to learn how to do that.

If your application (or e.g. your web container) uses threads, please
see the FAQ section on threading_ to check if you touch on one of the
potential pitfalls.

In any case, try to reproduce the problem with the latest versions of
libxml2 and libxslt.  From time to time, bugs and race conditions are found
in these libraries, so a more recent version might already contain a fix for
your problem.

Remember: even if you see lxml appear in a crash stack trace, it is
not necessarily lxml that *caused* the crash.

If you are using the *``xmlsec``* library together with lxml, you have to
make sure that both use the same version of libxml2.  The binary wheels of
lxml statically include a (usually recent) version of libxml2, whereas
xmlsec often depends on the systemwide installed libraries.  If you get
crashes or unexpected behaviour when using both, please make sure that both
get to use the same libxml2 version.  Anaconda/condaforge/etc. based installations
will usually come with matching C libraries.  If you use xmlsec with the system
libraries, please build lxml from sources against those as well, e.g. by installing
the development packages of libxml2 and libxslt and then installing lxml with

``python -m pip install --no-binary lxml lxml``


My application crashes on MacOS-X!
----------------------------------

This was a common problem up to lxml 2.1.x.  Since lxml 2.2, the only
officially supported way to use it on this platform is through a
static build against freshly downloaded versions of libxml2 and
libxslt.  See the build instructions for `MacOS-X`_.


I think I have found a bug in lxml. What should I do?
-----------------------------------------------------

First, you should look at the `current developer changelog`_ to see if this
is a known problem that has already been fixed in the master branch since the
release you are using.

.. _`current developer changelog`: https://github.com/lxml/lxml/blob/master/CHANGES.txt

Also, the 'crash' section above has a few good advices what to try to see if
the problem is really in lxml - and not in your setup.  Believe it or not,
that happens more often than you might think, especially when old libraries
or even multiple library versions are installed.

You should always try to reproduce the problem with the latest
versions of libxml2 and libxslt - and make sure they are used.
``lxml.etree`` can tell you what it runs with:

.. sourcecode:: python

   import sys
   from lxml import etree

   print("%-20s: %s" % ('Python',           sys.version_info))
   print("%-20s: %s" % ('lxml.etree',       etree.LXML_VERSION))
   print("%-20s: %s" % ('libxml used',      etree.LIBXML_VERSION))
   print("%-20s: %s" % ('libxml compiled',  etree.LIBXML_COMPILED_VERSION))
   print("%-20s: %s" % ('libxslt used',     etree.LIBXSLT_VERSION))
   print("%-20s: %s" % ('libxslt compiled', etree.LIBXSLT_COMPILED_VERSION))

If you can figure that the problem is not in lxml but in the
underlying libxml2 or libxslt, you can ask right on the respective
mailing lists, which may considerably reduce the time to find a fix or
work-around.  See the next question for some hints on how to do that.

Otherwise, we would really like to hear about it.  Please report it to
the `bug tracker`_ or to the `mailing list`_ so that we can fix it.
It is very helpful in this case if you can come up with a short code
snippet that demonstrates your problem.  If others can reproduce and
see the problem, it is much easier for them to fix it - and maybe even
easier for you to describe it and get people convinced that it really
is a problem to fix.

It is important that you always report the version of lxml, libxml2
and libxslt that you get from the code snippet above.  If we do not
know the library versions you are using, we will ask back, so it will
take longer for you to get a helpful answer.

Since as a user of lxml you are likely a programmer, you might find
`this article on bug reports`_ an interesting read.

.. _`bug tracker`: https://bugs.launchpad.net/lxml/
.. _`mailing list`: https://lxml.de/mailinglist/
.. _`this article on bug reports`: http://www.chiark.greenend.org.uk/~sgtatham/bugs.html


How do I know a bug is really in lxml and not in libxml2?
---------------------------------------------------------

A large part of lxml's functionality is implemented by libxml2 and
libxslt, so problems that you encounter may be in one or the other.
Knowing the right place to ask will reduce the time it takes to fix
the problem, or to find a work-around.

Both libxml2 and libxslt come with their own command line frontends,
namely ``xmllint`` and ``xsltproc``.  If you encounter problems with
XSLT processing for specific stylesheets or with validation for
specific schemas, try to run the XSLT with ``xsltproc`` or the
validation with ``xmllint`` respectively to find out if it fails there
as well.  If it does, please report directly to the mailing lists of
the respective project, namely:

* `libxml2 mailing list <http://mail.gnome.org/mailman/listinfo/xml>`_
* `libxslt mailing list <http://mail.gnome.org/mailman/listinfo/xslt>`_

On the other hand, everything that seems to be related to Python code,
including custom resolvers, custom XPath functions, etc. is likely
outside of the scope of libxml2/libxslt.  If you encounter problems
here or you are not sure where there the problem may come from, please
ask on the lxml mailing list first.

In any case, a good explanation of the problem including some simple
test code and some input data will help us (or the libxml2 developers)
see and understand the problem, which largely increases your chance of
getting help.  See the question above for a few hints on what is
helpful here.


Threading
=========

Can I use threads to concurrently access the lxml API?
------------------------------------------------------

Short answer: yes, if you use lxml 2.2 and later.

Since version 1.1, lxml frees the GIL (Python's global interpreter
lock) internally when parsing from disk and memory, as long as you use
either the default parser (which is replicated for each thread) or
create a parser for each thread yourself.  lxml also allows
concurrency during validation (RelaxNG and XMLSchema) and XSL
transformation.  You can share RelaxNG, XMLSchema and XSLT objects
between threads.

While you can also share parsers between threads, this will serialize
the access to each of them, so it is better to ``.copy()`` parsers or
to just use the default parser if you do not need any special
configuration.  The same applies to the XPath evaluators, which use an
internal lock to protect their prepared evaluation contexts.  It is
therefore best to use separate evaluator instances in threads.

Warning: Before lxml 2.2, and especially before 2.1, there were
various issues when moving subtrees between different threads, or when
applying XSLT objects from one thread to trees parsed or modified in
another.  If you need code to run with older versions, you should
generally avoid modifying trees in other threads than the one it was
generated in.  Although this should work in many cases, there are
certain scenarios where the termination of a thread that parsed a tree
can crash the application if subtrees of this tree were moved to other
documents.  You should be on the safe side when passing trees between
threads if you either

- do not modify these trees and do not move their elements to other
  trees, or

- do not terminate threads while the trees they parsed are still in
  use (e.g. by using a fixed size thread-pool or long-running threads
  in processing chains)

Since lxml 2.2, even multi-thread pipelines are supported. However,
note that it is more efficient to do all tree work inside one thread,
than to let multiple threads work on a tree one after the other. This
is because trees inherit state from the thread that created them,
which must be maintained when the tree is modified inside another
thread.


Does my program run faster if I use threads?
--------------------------------------------

Depends.  The best way to answer this is timing and profiling.

The global interpreter lock (GIL) in Python serializes access to the
interpreter, so if the majority of your processing is done in Python
code (walking trees, modifying elements, etc.), your gain will be
close to zero.  The more of your XML processing moves into lxml,
however, the higher your gain.  If your application is bound by XML
parsing and serialisation, or by very selective XPath expressions and
complex XSLTs, your speedup on multi-processor machines can be
substantial.

See the question above to learn which operations free the GIL to support
multi-threading.


Would my single-threaded program run faster if I turned off threading?
----------------------------------------------------------------------

Possibly, yes.  You can see for yourself by compiling lxml entirely
without threading support.  Pass the ``--without-threading`` option to
setup.py when building lxml from source.  You can also build libxml2
without pthread support (``--without-pthreads`` option), which may add
another bit of performance.  Note that this will leave internal data
structures entirely without thread protection, so make sure you really
do not use lxml outside of the main application thread in this case.


Why can't I reuse XSLT stylesheets in other threads?
----------------------------------------------------

Since later lxml 2.0 versions, you can do this.  There is some
overhead involved as the result document needs an additional cleanup
traversal when the input document and/or the stylesheet were created
in other threads.  However, on a multi-processor machine, the gain of
freeing the GIL easily covers this drawback.

If you need even the last bit of performance, consider keeping (a copy
of) the stylesheet in thread-local storage, and try creating the input
document(s) in the same thread.  And do not forget to benchmark your
code to see if the increased code complexity is really worth it.


My program crashes when run with mod_python/Pyro/Zope/Plone/...
---------------------------------------------------------------

These environments can use threads in a way that may not make it obvious when
threads are created and what happens in which thread.  This makes it hard to
ensure lxml's threading support is used in a reliable way.  Sadly, if problems
arise, they are as diverse as the applications, so it is difficult to provide
any generally applicable solution.  Also, these environments are so complex
that problems become hard to debug and even harder to reproduce in a
predictable way.  If you encounter crashes in one of these systems, but your
code runs perfectly when started by hand, the following gives you a few hints
for possible approaches to solve your specific problem:

* make sure you use recent versions of libxml2, libxslt and lxml.  The
  libxml2 developers keep fixing bugs in each release, and lxml also
  tries to become more robust against possible pitfalls.  So newer
  versions might already fix your problem in a reliable way.  Version
  2.2 of lxml contains many improvements.

* make sure the library versions you installed are really used.  Do
  not rely on what your operating system tells you!  Print the version
  constants in ``lxml.etree`` from within your runtime environment to
  make sure it is the case.  This is especially a problem under
  MacOS-X when newer library versions were installed in addition to
  the outdated system libraries.  Please read the bugs section
  regarding MacOS-X in this FAQ.

* if you use ``mod_python``, try setting this option:

      PythonInterpreter main_interpreter

  There was a discussion on the mailing list about this problem:

      http://comments.gmane.org/gmane.comp.python.lxml.devel/2942

* in a threaded environment, try to initially import ``lxml.etree``
  from the main application thread instead of doing first-time imports
  separately in each spawned worker thread.  If you cannot control the
  thread spawning of your web/application server, an import of
  ``lxml.etree`` in sitecustomize.py or usercustomize.py may still do
  the trick.

* compile lxml without threading support by running ``setup.py`` with the
  ``--without-threading`` option.  While this might be slower in certain
  scenarios on multi-processor systems, it *might* also keep your application
  from crashing, which should be worth more to you than peek performance.
  Remember that lxml is fast anyway, so concurrency may not even be worth it.

* look out for fancy XSLT stuff like foreign document access or
  passing in subtrees through XSLT variables.  This might or might not
  work, depending on your specific usage.  Again, later versions of
  lxml and libxslt provide safer support here.

* try copying trees at suspicious places in your code and working with
  those instead of a tree shared between threads.  Note that the
  copying must happen inside the target thread to be effective, not in
  the thread that created the tree.  Serialising in one thread and
  parsing in another is also a simple (and fast) way of separating
  thread contexts.

* try keeping thread-local copies of XSLT stylesheets, i.e. one per thread,
  instead of sharing one.  Also see the question above.

* you can try to serialise suspicious parts of your code with explicit thread
  locks, thus disabling the concurrency of the runtime system.

* report back on the mailing list to see if there are other ways to work
  around your specific problems.  Do not forget to report the version numbers
  of lxml, libxml2 and libxslt you are using (see the question on reporting
  a bug).

Note that most of these options will degrade performance and/or your
code quality.  If you are unsure what to do, please ask on the mailing
list.


Parsing and Serialisation
=========================

..
    making doctest happy:

    >>> try: from StringIO import StringIO
    ... except ImportError: from io import StringIO # Py3
    >>> filename = StringIO("<root/>")


Why doesn't the ``pretty_print`` option reformat my XML output?
---------------------------------------------------------------

Pretty printing (or formatting) an XML document means adding white space to
the content.  These modifications are harmless if they only impact elements in
the document that do not carry (text) data.  They corrupt your data if they
impact elements that contain data.  If lxml cannot distinguish between
whitespace and data, it will not alter your data.  Whitespace is therefore
only added between nodes that do not contain data.  This is always the case
for trees constructed element-by-element, so no problems should be expected
here.  For parsed trees, a good way to assure that no conflicting whitespace
is left in the tree is the ``remove_blank_text`` option:

.. sourcecode:: pycon

   >>> parser = etree.XMLParser(remove_blank_text=True)
   >>> tree = etree.parse(filename, parser)

This will allow the parser to drop blank text nodes when constructing the
tree.  If you now call a serialization function to pretty print this tree,
lxml can add fresh whitespace to the XML tree to indent it.

Note that the ``remove_blank_text`` option also uses a heuristic if it
has no definite knowledge about the document's ignorable whitespace.
It will keep blank text nodes that appear after non-blank text nodes
at the same level.  This is to prevent document-style XML from losing
content.

The HTMLParser has this structural knowledge built-in, which means that
most whitespace that appears between tags in HTML documents will *not*
be removed by this option, except in places where it is truly ignorable,
e.g. in the page header, between table structure tags, etc.  Therefore,
it is also safe to use this option with the HTMLParser, as it will keep
content like the following intact (i.e. it will not remove the space
that separates the two words):

.. sourcecode:: html

   <p><b>some</b> <em>text</em></p>

If you want to be sure all blank text is removed from an XML document
(or just more blank text than the parser does by itself), you have to
use either a DTD to tell the parser which whitespace it can safely
ignore, or remove the ignorable whitespace manually after parsing,
e.g. by setting all tail text to None:

.. sourcecode:: python

   for element in root.iter():
       element.tail = None

Fredrik Lundh also has a Python-level function for indenting XML by
appending whitespace to tags.  It can be found on his `element library
recipes page <http://effbot.org/zone/element-lib.htm#prettyprint>`_.


Why can't lxml parse my XML from unicode strings?
-------------------------------------------------

First of all, XML is explicitly defined as a stream of bytes.  It's not
Unicode text.  Take a look at the `XML specification`_, it's all about byte
sequences and how to map them to text and structure.  That leads to rule
number one: do not decode your XML data yourself.  That's a part of the
work of an XML parser, and it does it very well.  Just pass it your data as
a plain byte stream, it will always do the right thing, by specification.

This also includes not opening XML files in text mode.  Make sure you always
use binary mode, or, even better, pass the file path into lxml's ``parse()``
function to let it do the file opening, reading and closing itself.  This
is the most simple and most efficient way to do it.

That being said, lxml can read Python unicode strings and even tries to
support them if libxml2 does not.  This is because there is one valid use
case for parsing XML from text strings: literal XML fragments in source
code.

However, if the unicode string declares an XML encoding internally
(``<?xml encoding="..."?>``), parsing is bound to fail, as this encoding is
almost certainly not the real encoding used in Python unicode.  The same is
true for HTML unicode strings that contain charset meta tags, although the
problems may be more subtle here.  The libxml2 HTML parser may not be able
to parse the meta tags in broken HTML and may end up ignoring them, so even
if parsing succeeds, later handling may still fail with character encoding
errors.  Therefore, parsing HTML from unicode strings is a much saner thing
to do than parsing XML from unicode strings.

Note that Python uses different encodings for unicode on different platforms,
so even specifying the real internal unicode encoding is not portable between
Python interpreters.  Don't do it.

Python unicode strings with XML data that carry encoding information are
broken.  lxml will not parse them.  You must provide parsable data in a
valid encoding.

.. _`XML specification`: http://www.w3.org/TR/REC-xml/


Can lxml parse from file objects opened in unicode/text mode?
-------------------------------------------------------------

Technically, yes. However, you likely do not want to do that, because
it is extremely inefficient. The text encoding that libxml2 uses
internally is UTF-8, so parsing from a Unicode file means that Python
first reads a chunk of data from the file, then decodes it into a new
buffer, and then copies it into a new unicode string object, just to
let libxml2 make yet another copy while encoding it down into UTF-8
in order to parse it. It's clear that this involves a lot more
recoding and copying than when parsing straight from the bytes that
the file contains.

If you really know the encoding better than the parser (e.g. when
parsing HTML that lacks a content declaration), then instead of passing
an encoding parameter into the file object when opening it, create a
new instance of an XMLParser or HTMLParser and pass the encoding into
its constructor.  Afterwards, use that parser for parsing, e.g. by
passing it into the ``etree.parse(file, parser)`` function.  Remember
to open the file in binary mode (mode="rb"), or, if possible, prefer
passing the file path directly into ``parse()`` instead of an opened
Python file object.


What is the difference between str(xslt(doc)) and xslt(doc).write() ?
---------------------------------------------------------------------

The str() implementation of the XSLTResultTree class (a subclass of the
ElementTree class) knows about the output method chosen in the stylesheet
(xsl:output), write() doesn't.  If you call write(), the result will be a
normal XML tree serialization in the requested encoding.  Calling this method
may also fail for XSLT results that are not XML trees (e.g. string results).

If you call str(), it will return the serialized result as specified by the
XSL transform.  This correctly serializes string results to encoded Python
strings and honours ``xsl:output`` options like ``indent``.  This almost
certainly does what you want, so you should only use ``write()`` if you are
sure that the XSLT result is an XML tree and you want to override the encoding
and indentation options requested by the stylesheet.


Why can't I just delete parents or clear the root node in iterparse()?
----------------------------------------------------------------------

The ``iterparse()`` implementation is based on the libxml2 parser.  It
requires the tree to be intact to finish parsing.  If you delete or modify
parents of the current node, chances are you modify the structure in a way
that breaks the parser.  Normally, this will result in a segfault.  Please
refer to the `iterparse section`_ of the lxml API documentation to find out
what you can do and what you can't do.

.. _`iterparse section`: parsing.html#iterparse-and-iterwalk


How do I output null characters in XML text?
--------------------------------------------

Don't.  What you would produce is not well-formed XML.  XML parsers
will refuse to parse a document that contains null characters.  The
right way to embed binary data in XML is using a text encoding such as
uuencode or base64.


Is lxml vulnerable to XML bombs?
--------------------------------

This has nothing to do with lxml itself, only with the parser of
libxml2.  Since libxml2 version 2.7, the parser imposes hard security
limits on input documents to prevent DoS attacks with forged input
data.  Since lxml 2.2.1, you can disable these limits with the
``huge_tree`` parser option if you need to parse *really* large,
trusted documents.  All lxml versions will leave these restrictions
enabled by default.

Note that libxml2 versions of the 2.6 series do not restrict their
parser and are therefore vulnerable to DoS attacks.

Note also that these "hard limits" may still be high enough to
allow for excessive resource usage in a given use case.  They are
compile time modifiable, so building your own library versions will
allow you to change the limits to your own needs. Also see the next
question.


How do I use lxml safely as a web-service endpoint?
---------------------------------------------------

XML based web-service endpoints are generally subject to several
types of attacks if they allow some kind of untrusted input.
From the point of view of the underlying XML tool, the most
obvious attacks try to send a relatively small amount of data
that induces a comparatively large resource consumption on the
receiver side.

First of all, make sure network access is not enabled for the XML
parser that you use for parsing untrusted content and that it is
not configured to load external DTDs.  Otherwise, attackers can
try to trick the parser into an attempt to load external resources
that are overly slow or impossible to retrieve, thus wasting time
and other valuable resources on your server such as socket
connections.  Note that you can register your own document loader
in lxml, which allows for fine-grained control over any read access
to resources.

Some of the most famous excessive content expansion attacks
use XML entity references.  Luckily, entity expansion is mostly
useless for the data commonly sent through web services and
can simply be disabled, which rules out several types of
denial of service attacks at once.  This also involves an attack
that reads local files from the server, as XML entities can be
defined to expand into the content of external resources.
Consequently, version 1.2 of the SOAP standard explicitly
disallows entity references in the XML stream.

To disable entity expansion, use an XML parser that is configured
with the option ``resolve_entities=False``.  Then, after (or
while) parsing the document, use ``root.iter(etree.Entity)`` to
recursively search for entity references.  If it contains any,
reject the entire input document with a suitable error response.
In lxml 3.x, you can also use the new DTD introspection API to
apply your own restrictions on input documents.  Since version 5.x,
lxml disables the expansion of external entities (XXE) by default.
If you really want to allow loading external files into XML documents
using this functionality, you have to explicitly set
``resolve_entities=True``.

Another attack to consider is compression bombs.  If you allow
compressed input into your web service, attackers can try to send
well forged highly repetitive and thus very well compressing input
that unpacks into a very large XML document in your server's main
memory, potentially a thousand times larger than the compressed
input data.

As a counter measure, either disable compressed input for your
web server, at least for untrusted sources, or use incremental
parsing with ``iterparse()`` instead of parsing the whole input
document into memory in one shot.  That allows you to enforce
suitable limits on the input by applying semantic checks that
detect and prevent an illegitimate use of your service.  If
possible, you can also use this to reduce the amount of data
that you need to keep in memory while parsing the document,
thus further reducing the possibility of an attacker to trick
your system into excessive resource usage.

Finally, please be aware that XPath suffers from the same
vulnerability as SQL when it comes to content injection.  The
obvious fix is to not build any XPath expressions via string
formatting or concatenation when the parameters may come from
untrusted sources, and instead use XPath variables, which
safely expose their values to the evaluation engine.

The defusedxml_ package comes with an example setup and a wrapper
API for lxml that applies certain counter measures internally.

.. _defusedxml: https://bitbucket.org/tiran/defusedxml


How can I sort the attributes?
------------------------------

lxml preserves the order in which attributes were originally created.
There is one case in which this is difficult: when attributes are passed
in a dict or as keyword arguments to the `Element()` factory.  Before Python
3.6, dicts had no predictable order.
Since Python 3.6, however, dicts also preserve the creation order of their keys,
and lxml makes use of that since release 4.4.
In earlier versions, lxml tries to assure at least reproducible output by
sorting the attributes from the dict before creating them.  All sequential
ways to set attributes keep their order and do not apply sorting.  Also,
OrderedDict instances are recognised and not sorted.

In cases where you cannot control the order in which attributes are created,
you can still change it before serialisation.  To sort them by name, for example,
you can apply the following function:

.. sourcecode:: python

    def sort_attributes(root):
        for el in root.iter():
            attrib = el.attrib
            if len(attrib) > 1:
                attributes = sorted(attrib.items())
                attrib.clear()
                attrib.update(attributes)


XPath and Document Traversal
============================

What are the ``findall()`` and ``xpath()`` methods on Element(Tree)?
--------------------------------------------------------------------

``findall()`` is part of the original `ElementTree API`_.  It supports a
`simple subset of the XPath language`_, without predicates, conditions and
other advanced features.  It is very handy for finding specific tags in a
tree.  Another important difference is namespace handling, which uses the
``{namespace}tagname`` notation.  This is not supported by XPath.  The
findall, find and findtext methods are compatible with other ElementTree
implementations and allow writing portable code that runs on ElementTree,
cElementTree and lxml.etree.

``xpath()``, on the other hand, supports the complete power of the XPath
language, including predicates, XPath functions and Python extension
functions.  The syntax is defined by the `XPath specification`_.  If you need
the expressiveness and selectivity of XPath, the ``xpath()`` method, the
``XPath`` class and the ``XPathEvaluator`` are the best choice_.

.. _`simple subset of the XPath language`: http://effbot.org/zone/element-xpath.htm
.. _`XPath specification`:                 http://www.w3.org/TR/xpath
.. _choice:                                performance.html#xpath


Why doesn't ``findall()`` support full XPath expressions?
---------------------------------------------------------

It was decided that it is more important to keep compatibility with
ElementTree_ to simplify code migration between the libraries.  The main
difference compared to XPath is the ``{namespace}tagname`` notation used in
``findall()``, which is not valid XPath.

ElementTree and lxml.etree use the same implementation, which assures 100%
compatibility.  Note that ``findall()`` is `so fast`_ in lxml that a native
implementation would not bring any performance benefits.

.. _`so fast`: performance.html#tree-traversal


How can I find out which namespace prefixes are used in a document?
-------------------------------------------------------------------

You can traverse the document (``root.iter()``) and collect the prefix
attributes from all Elements into a set.  However, it is unlikely that you
really want to do that.  You do not need these prefixes, honestly.  You only
need the namespace URIs.  All namespace comparisons use these, so feel free to
make up your own prefixes when you use XPath expressions or extension
functions.

The only place where you might consider specifying prefixes is the
serialization of Elements that were created through the API.  Here, you can
specify a prefix mapping through the ``nsmap`` argument when creating the root
Element.  Its children will then inherit this prefix for serialization.


How can I specify a default namespace for XPath expressions?
------------------------------------------------------------

You can't.  In XPath 1.0, there is no such thing as a default namespace.  Just
use an arbitrary prefix and let the namespace dictionary of the XPath evaluators
map it to your namespace.  See also the question above.


How can I modify the tree during iteration?
-------------------------------------------

lxml's iterators need to hold on to an element in the tree in order to remember
their current position.  Therefore, tree modifications between two calls into the
iterator can lead to surprising results if such an element is deleted or moved
around, for example.

If your code risks modifying elements that the iterator might still need, and
you know that the number of elements returned by the iterator is small, then just
read them all into a list (or use ``.findall()``), and iterate over that list.

If the number of elements can be larger and you really want to process the tree
incrementally, you can often use a read-ahead generator to make the iterator
advance beyond the critical point before touching the tree structure.

For example:

.. sourcecode:: python

    from itertools import islice
    from collections import deque

    def readahead(iterator, count=1):
        iterator = iter(iterator)  # allow iterables as well
        elements = deque(islice(iterator, 0, count))
        for element in iterator:
            elements.append(element)
            yield elements.popleft()
        yield from elements

    for element in readahead(root.iterfind("path/to/children")):
        element.getparent().remove(element)