Python bindings for Xapian

The Python bindings for Xapian are packaged in the xapian module, and largely follow the C++ API, with the following differences and additions. Python strings and lists, etc., are converted automatically in the bindings, so generally it should just work as expected.

The examples subdirectory contains examples showing how to use the Python bindings based on the simple examples from xapian-examples: simpleindex.py, simplesearch.py, simpleexpand.py. There's also simplematchdecider.py which shows how to define a MatchDecider in Python.

The Python bindings come with a test suite, consisting of two test files: smoketest.py and pythontest.py. These are run by the "make check" command, or may be run manually. By default, they will display the names of any tests which failed, and then display a count of tests which run and which failed. The verbosity may be increased by setting the "VERBOSE" environment variable: a value of 1 will display detailed information about failures, and a value of 2 will display further information about the progress of tests.

Exceptions

Xapian exceptions are translated into Python exceptions with the same names and inheritance hierarchy as the C++ exception classes. The base class of all Xapian exceptions is the xapian.Error class, and this in turn is a child of the standard python exceptions.Exception class.

This means that programs can trap all xapian exceptions using "except xapian.Error", and can trap all exceptions which don't indicate that the program should terminate using "except Exception".

Unicode

The xapian Python bindings accept unicode strings as well as simple strings (ie, "str" type strings) at all places in the API which accept string data. Any unicode strings supplied will automatically be translated into UTF-8 simple strings before being passed to the Xapian core. The Xapian core is largely agnostic about character set, but in those places where it does process data in a character set dependent way it assumes that the data is in UTF-8. The Xapian Python bindings always return string data as simple strings.

Therefore, in order to avoid issues with character sets, you should always pass text data to Xapian as unicode strings, or UTF-8 encoded simple strings. There is, however, no requirement for simple strings passed into Xapian to be valid UTF-8 encoded strings, unless they are being passed to a text processing routine (such as the query parser, or the stemming algorithms). For example, it is perfectly valid to pass arbitrary binary data in a simple string to the xapian.Document.set_data() method.

It is often useful to normalise unicode data before passing it to Xapian - Xapian currently has no built-in support for normalising unicode representations of data. The standard python module "unicodedata" provides support for normalising unicode: you probably want the "NFKC" normalisation scheme: in other words, use something like

   unicodedata.normalize('NFKC', u'foo')

to normalise the string "foo" before passing it to Xapian.

Iterators

All iterators support next() and equals() methods to move through and test iterators (as for all language bindings). MSetIterator and ESetIterator also support prev(). Python-wrapped iterators also support direct comparison, so something like:

   m=mset.begin()
   while m!=mset.end():
     # do something
     m.next()

Iterator dereferencing

C++ iterators are often dereferenced to get information, eg (*it). With Python these are all mapped to named methods, as follows:

IteratorDereferencing method
PositionIterator get_termpos()
PostingIterator get_docid()
TermIterator get_term()
ValueIterator get_value()
MSetIterator get_docid()
ESetIterator get_term()

Other methods, such as MSetIterator.get_document(), are available unchanged.

Pythonic iterators

Many classes that support C++-style iterators also support Pythonic iterators which do the same thing in a Python style. The following are supported (where marked as default iterator, it means __iter__() does the right thing so you can for instance use for term in document to iterate over terms in the Document):

ClassMethodEquivalent toIterator type
MSetdefault iteratorbegin()MSetIter
ESetdefault iteratorbegin()ESetIter
Enquirematching_terms()get_matching_terms_begin()TermIter
Querydefault iteratorget_terms_begin()TermIter
Databaseallterms()allterms_begin() (also as default iterator)TermIter
Databasepostlist(tname)postlist_begin(tname)PostingIter
Databasetermlist(docid)termlist_begin(docid)TermIter
Databasepositionlist(docid, tname)positionlist_begin(docid, tname)PositionIter
Documentvalues()values_begin()ValueIter
Documenttermlist()termlist_begin() (also as default iterator)TermIter
QueryParserstoplist()stoplist_begin()TermIter
QueryParserunstemlist(tname)unstem_begin(tname)TermIter

The Pythonic iterators used to return lists representing the appropriate item when their next() method is called, except PositionIter which just returns a single value. They now return Python objects, allowing lazy evaluation of properties where appropriate, and allowing a more pythonic access to attribute values. The sequence API is being maintained for now, so existing code should continue to work, but we recommend transitioning to the new API. The sequence API is planned to be removed at release 1.1.0 of Xapian.

ClassReturns
MSetIter[docid, weight, rank, percentage, document]
ESetIter[term, weight]
TermIter[term, wdf, termfreq, position iterator]
PostingIter[docid, doclength, wdf, position iterator]
PositionItertermpos
ValueIter[valueno, value]

The lazy evaluation is mainly transparent, but does become visible in one situation: if you keep an object returned by an iterator, without evaluating its properties to force the lazy evaluation to happen, and then move the iterator forward, the object may no longer be able to efficiently perform the lazy evaluation. In this situation, an exception will be raised indicating that the information requested wasn't available. This will only happen for a few of the properties - most are either not evaluated lazily (because the underlying Xapian implementation doesn't evaluated them lazily, so there's no advantage in lazy evaluation), or can be accessed even after the iterator has moved. The simplest work around is simply to evaluate any properties you wish to use which are affected by this before moving the iterator. The complete set of iterator properties affected by this is:

MSet

MSet objects have some additional methods to simplify access (these work using the C++ array dereferencing):

Method nameExplanation
get_hit(index)returns MSetIterator at index
get_document_percentage(index)convert_to_percent(get_hit(index))
get_document(index)get_hit(index).get_document()
get_docid(index)get_hit(index).get_docid()

Additionally, the MSet has a property, mset.items, which returns a list of tuples representing the MSet; this may be more convenient than using the MSetIterator. The members of the tuple are as follows.

IndexContents
xapian.MSET_DIDDocument id
xapian.MSET_WTWeight
xapian.MSET_RANKRank
xapian.MSET_PERCENTPercentage weight

Two MSet objects are equal if they have the same number and maximum possible number of members, and if every document member of the first MSet exists at the same index in the second MSet, with the same weight.

ESet

The ESet has a property, eset.items, which returns a list of tuples representing the ESet; this may be more convenient than using the ESetIterator. The members of the tuple are as follows.

IndexContents
xapian.ESET_TNAMETerm name
xapian.ESET_WTWeight

Database Factory Functions

Query

In C++ there's a Xapian::Query constructor which takes a query operator and start/end iterators specifying a number of terms or queries, plus an optional parameter. In Python, this is wrapped to accept any Python sequence (for example a list or tuple) to give the terms/queries, and you can specify a mixture of terms and queries if you wish. For example:

   subq = xapian.Query(xapian.Query.OP_AND, "hello", "world")
   q = xapian.Query(xapian.Query.OP_AND, [subq, "foo", xapian.Query("bar", 2)])

Enquire

There is an additional method get_matching_terms() which takes an MSetIterator and returns a list of terms in the current query which match the document given by that iterator. You may find this more convenient than using the TermIterator directly.

MatchDecider

Custom MatchDeciders can be created in Python; simply subclass xapian.MatchDecider, ensure you call the super-constructor, and define a __call__ method that will do the work. The simplest example (which does nothing useful) would be as follows:

class mymatchdecider(xapian.MatchDecider):
  def __init__(self):
    xapian.MatchDecider.__init__(self)

  def __call__(self, doc):
    return 1
Last updated $Date: 2007-05-17 22:12:04 +0100 (Thu, 17 May 2007) $