def search(query, models=None):
assert models and len(models) == 1, \
"This search backend only supports searching single models."
model = models[0]
index = get_indexer(model)
table = qn(model._meta.db_table)
(conv_query, fields) = convert_new(query, QueryConverter)
matches = []
params = []
if conv_query:
columns = ["%s.%s" % (table, qn(s)) for s in index.text]
matches.append("MATCH(%s) AGAINST (%%s IN BOOLEAN MODE)" \
% ", ".join(columns))
params.append(conv_query)
for (field, s) in fields.items():
if field not in index.additional:
continue
column = "%s.%s" % (table, qn(field))
# these fields should always just be text, so there is
# no need for boolean mode
matches.append("MATCH(%s) AGAINST(%%s)" % column)
params.append(s)
if not matches:
return EmptyQuerySet(model)
return index.get_query_set().extra(
# TODO: this isn't an ideal solution for relevance
# weighting?
select={'_relevance': " + ".join(matches)},
select_params=params,
where=matches,
params=params,
# FIXME: relevance can't be used outside extra()
order_by=["-_relevance"])
def search(query, models=None):
assert models and len(models) == 1, \
"This search backend only supports searching single models."
model = models[0]
index = get_indexer(model)
table = qn(model._meta.db_table)
(conv_query, fields) = convert_new(query, QueryConverter)
matches = []
params = []
if conv_query:
columns = ["%s.%s" % (table, qn(s)) for s in index.text]
matches.append("MATCH(%s) AGAINST (%%s IN BOOLEAN MODE)" \
% ", ".join(columns))
params.append(conv_query)
for (field, s) in fields.items():
if field not in index.additional:
continue
column = "%s.%s" % (table, qn(field))
# these fields should always just be text, so there is
# no need for boolean mode
matches.append("MATCH(%s) AGAINST(%%s)" % column)
params.append(s)
if not matches:
return EmptyQuerySet(model)
return index.get_query_set().extra(
# TODO: this isn't an ideal solution for relevance
# weighting?
select={'_relevance': " + ".join(matches)},
select_params=params,
where=matches,
params=params,
# FIXME: relevance can't be used outside extra()
order_by=["-_relevance"])
def search(query, models=None):
assert models and len(models) == 1, \
"This search backend only supports searching single models."
model = models[0]
(conv_query, fields) = convert_new(query, QueryConverter)
# TODO: fields.
if not conv_query:
return EmptyQuerySet(model)
index = get_indexer(model)
if len(index.text) > 1:
columns = ["coalesce(%s, '')" % qn(s) for s in index.text]
else:
columns = index.text
# TODO: support different languages
tsvector = "to_tsvector('english', %s)" % " || ".join(columns)
return index.get_query_set().extra(
select={'_relevance': "ts_rank(%s, to_tsquery(%%s), 32)"
% tsvector},
select_params=[conv_query],
where=["to_tsquery(%%s) @@ %s" % tsvector],
params=[conv_query],
# FIXME: relevance can't be used outside extra()
order_by=["-_relevance"])
def handle_app(self, app, **options):
from django.db.models import get_models
from djangosearch.indexer import get_indexer
for model in get_models(app):
try:
index = get_indexer(model)
except KeyError:
if self.verbosity >= 2:
print "Skipping '%s' - no index" % model.__name__
continue
qs = index.get_query_set().order_by(model._meta.pk.attname).select_related()
total = qs.count()
if self.verbosity >= 1:
print "Indexing %d %s" % (total, smart_str(model._meta.verbose_name_plural))
for start in range(0, total, self.batchsize):
end = min(start + self.batchsize, total)
if self.verbosity >= 2:
print " indexing %s - %d of %d" % (start+1, end, total)
index.engine.update(index, qs[start:end])
