def _get_xquery(catalog, query=None, **kw):
# Case 1: a query is given
if query is not None:
return catalog._query2xquery(query)
# Case 2: nothing has been specified, return everything
if not kw:
return Query('')
# Case 3: build the query from the keyword parameters
metadata = catalog._metadata
fields = catalog._fields
xqueries = []
for name, value in kw.iteritems():
# If name is a field not yet indexed, return nothing
if name not in metadata:
warn_not_indexed(name)
return Query()
# Ok
info = metadata[name]
prefix = info['prefix']
field_cls = _get_field_cls(name, fields, info)
query = _make_PhraseQuery(field_cls, value, prefix)
xqueries.append(query)
return Query(OP_AND, xqueries)
def to_query(self, query, default_op=Query.OP_AND):
if isinstance(query, list):
return Query(default_op, [self.to_query(q) for q in query])
elif isinstance(query, basestring):
return Query(query)
elif isinstance(query, Query):
return query
def _parse_query_term(self, name, prefix, value):
if isinstance(value, list):
subqueries = [self._parse_query_term(name, prefix, word)
for word in value]
return Query(Query.OP_OR, subqueries)
elif prefix:
return Query(_PREFIX_FULL_VALUE + prefix + str(value))
else:
return Query(_PREFIX_NONE + str(value))
def __init__(self, *args, **kwargs):
"""
@keyword encoding: specifiy the encoding manually (default: value of config.charset)
"""
self.encoding = kwargs.get('encoding', config.charset)
nargs = []
for term in args:
if isinstance(term, unicode):
term = term.encode(self.encoding)
elif isinstance(term, list) or isinstance(term, tuple):
term = [t.encode(self.encoding) for t in term]
nargs.append(term)
Query.__init__(self, *nargs, **kwargs)
def _parse_query_value_range(self, name, info, value):
if len(value) != 2:
raise TypeError('Only tuples of size 2 have a defined meaning. '
'Did you mean to pass a list instead?')
start, end = value
return Query(Query.OP_VALUE_RANGE, info['number'],
self._convert_value(info, start),
self._convert_value(info, end))
def _parse_query_xapian(self, query_str):
try:
return xapian.QueryParser.parse_query(
self, query_str,
QueryParser.FLAG_PHRASE | QueryParser.FLAG_BOOLEAN
| QueryParser.FLAG_LOVEHATE | QueryParser.FLAG_WILDCARD, '')
except xapian.QueryParserError, exception:
logging.warning('Invalid query string: ' + exception.get_msg())
return Query()
def phrase(terms, prefix=None, language=None, window=3):
if isinstance(terms, basestring):
terms = terms.split()
if prefix:
terms = ['%s:%s' % (prefix, t) for t in terms]
if language:
stem = xapian.Stem(language)
terms = ['Z%s' % stem(t) for t in terms]
print terms
return Query(Query.OP_PHRASE, terms, window)
def parse_query(self, query_dict, query_string):
logging.debug('parse_query %r %r', query_dict, query_string)
queries = []
query_dict = dict(query_dict)
if query_string is not None:
queries.append(self._parse_query_xapian(str(query_string)))
for name, value in query_dict.items():
if name in _QUERY_TERM_MAP:
queries.append(self._parse_query_term(name,
_QUERY_TERM_MAP[name], value))
elif name in _QUERY_VALUE_MAP:
queries.append(self._parse_query_value(name,
_QUERY_VALUE_MAP[name], value))
else:
logging.warning('Unknown term: %r=%r', name, value)
if not queries:
queries.append(Query(''))
logging.debug('queries: %r', [str(q) for q in queries])
return Query(Query.OP_AND, queries)
def _make_PhraseQuery(field_cls, value, prefix):
# Get the words
# XXX It's too complex (slow), we must use xapian
# Problem => _index_cjk
xdoc = Document()
# XXX Language = 'en' by default
_index(xdoc, field_cls, value, prefix, 'en')
words = []
for term_list_item in xdoc:
term = term_list_item.term
for termpos in term_list_item.positer:
words.append((termpos, term))
words.sort()
words = [ word[1] for word in words ]
# Make the query
return Query(OP_PHRASE, words)
def _parse_query_value(self, name, info, value):
if isinstance(value, list):
subqueries = [self._parse_query_value(name, info, word)
for word in value]
return Query(Query.OP_OR, subqueries)
elif isinstance(value, tuple):
return self._parse_query_value_range(name, info, value)
elif isinstance(value, dict):
# compatibility option for timestamp: {'start': 0, 'end': 1}
start = value.get('start', 0)
end = value.get('end', sys.maxint)
return self._parse_query_value_range(name, info, (start, end))
else:
return self._parse_query_value_range(name, info, (value, value))
def elite(terms, prefix=None, window=10):
if isinstance(terms, basestring):
terms = terms.split()
if prefix:
terms = ['%s:%s' % (prefix, t) for t in terms]
return Query(Query.OP_ELITE_SET, terms, window)
def search(self, query=None, **kw):
catalog = self._catalog
xquery = _get_xquery(catalog, query, **kw)
query = Query(Query.OP_AND, [self._xquery, xquery])
return SearchResults(catalog, query)
def get_docs(db):
enquire = Enquire(db)
enquire.set_query(Query(''))
docs_max = enquire.get_mset(0, 0).get_matches_upper_bound()
return [doc.get_document() for doc in enquire.get_mset(0, docs_max)]
def operator(self, query, op):
"""Wrap self with an operator and another query.
"""
query = querify(query)
return self.copy(query=Query(op, self.query, query))
def scale(self, factor):
return self.copy(query=Query(Query.OP_SCALE_WEIGHT, self.query, factor))
def elite(db, terms, window=10, **kwargs):
return Search(db, Query(Query.OP_ELITE_SET, terms, window), **kwargs)
def phrase(db, terms, window=10, **kwargs):
return Search(db, Query(Query.OP_PHRASE, terms, window), **kwargs)
def search(self, query=None, **kw):
xquery = _get_xquery(self._catalog, query, **kw)
query = Query(Query.OP_AND, [self._xquery, xquery])
return self.__class__(self._catalog, query)
def _query2xquery(self, query):
"""take a "itools" query and return a "xapian" query
"""
query_class = type(query)
fields = self._fields
metadata = self._metadata
# All Query
if query_class is AllQuery:
return Query('')
# PhraseQuery, the field must be indexed
if query_class is PhraseQuery:
name = query.name
if type(name) is not str:
raise TypeError, "unexpected '%s'" % type(name)
# If there is a problem => an empty result
if name not in metadata:
warn_not_indexed(name)
return Query()
info = metadata[name]
try:
prefix = info['prefix']
except KeyError:
raise ValueError, 'the field "%s" must be indexed' % name
field_cls = _get_field_cls(name, fields, info)
return _make_PhraseQuery(field_cls, query.value, prefix)
# RangeQuery, the field must be stored
if query_class is RangeQuery:
name = query.name
if type(name) is not str:
raise TypeError, "unexpected '%s'" % type(name)
# If there is a problem => an empty result
if name not in metadata:
warn_not_indexed(name)
return Query()
info = metadata[name]
value = info.get('value')
if value is None:
raise AttributeError, MSG_NOT_STORED.format(name=name)
field_cls = _get_field_cls(name, fields, info)
if field_cls.multiple:
error = 'range-query not supported on multiple fields'
raise ValueError, error
left = query.left
if left is not None:
left = _encode_simple_value(field_cls, left)
right = query.right
if right is not None:
right = _encode_simple_value(field_cls, right)
# Case 1: no limits, return everything
if left is None and right is None:
return Query('')
# Case 2: left limit only
if right is None:
return Query(OP_VALUE_GE, value, left)
# Case 3: right limit only
if left is None:
return Query(OP_VALUE_LE, value, right)
# Case 4: left and right
return Query(OP_VALUE_RANGE, value, left, right)
# StartQuery, the field must be stored
if query_class is StartQuery:
name = query.name
if type(name) is not str:
raise TypeError, "unexpected '%s'" % type(name)
# If there is a problem => an empty result
if name not in metadata:
warn_not_indexed(name)
return Query()
info = metadata[name]
value_nb = info.get('value')
if value_nb is None:
raise AttributeError, MSG_NOT_STORED.format(name=name)
field_cls = _get_field_cls(name, fields, info)
value = query.value
value = _encode(field_cls, value)
if value:
# good = {x / x >= value}
good = Query(OP_VALUE_GE, value_nb, value)
# Construct the variable end_value:
# end_value = the word "after" value: toto => totp
# Delete the '\xff' at the end of value
end_value = value
while end_value and ord(end_value[-1]) == 255:
end_value = end_value[:-1]
# Normal case: end_value is not empty
if end_value:
# The world after
end_value = end_value[:-1] + chr(ord(end_value[-1]) + 1)
# bad = {x / x >= end_value}
bad = Query(OP_VALUE_GE, value_nb, end_value)
# Return {x / x in good but x not in bad}
return Query(OP_AND_NOT, good, bad)
# If end_value is empty
else:
# Return {x / x in good}
return good
else:
# If value == '', we return everything
return Query('')
# TextQuery, the field must be indexed
if query_class is TextQuery:
name = query.name
if type(name) is not str:
raise TypeError, "unexpected %s for 'name'" % type(name)
# If there is a problem => an empty result
if name not in metadata:
warn_not_indexed(name)
return Query()
info = metadata[name]
field_cls = _get_field_cls(name, fields, info)
try:
prefix = info['prefix']
except KeyError:
raise ValueError, 'the field "%s" must be indexed' % name
# Remove accents from the value
value = query.value
if type(value) is not unicode:
raise TypeError, "unexpected %s for 'value'" % type(value)
value = value.translate(TRANSLATE_MAP)
qp = QueryParser()
qp.set_database(self._db)
return qp.parse_query(_encode(field_cls, value), TQ_FLAGS, prefix)
i2x = self._query2xquery
# Multiple query with single atom
if isinstance(query, _MultipleQuery) and len(query.atoms) == 1:
return i2x(query.atoms[0])
# And
if query_class is _AndQuery:
return Query(OP_AND, [ i2x(q) for q in query.atoms ])
# Or
if query_class is _OrQuery:
return Query(OP_OR, [ i2x(q) for q in query.atoms ])
# Not
if query_class is NotQuery:
return Query(OP_AND_NOT, Query(''), i2x(query.query))
def operator(self, query, op):
"""Wrap self with an operator and another query.
"""
query = self._db.querify(query, language=self._language)
return self.copy(query=Query(op, self.query, query))
def and_elite(self, queries):
return self.and_(Query(Query.OP_ELITE_SET, queries))
def search(self, query=None, **kw):
database = self._database
xquery = _get_xquery(database.catalog, query, **kw)
query = Query(Query.OP_AND, [self._xquery, xquery])
return self.__class__(database, query)
def near(db, terms, window=10, **kwargs):
return Search(db, Query(Query.OP_NEAR, terms, window), **kwargs)
def or_elite(self, *queries):
return self.or_(Query(Query.OP_ELITE_SET, queries))
