def _queue_document(self, fields, existing):
if self.always_try_deleting_first:
existing = True
# modify a document's importance (boost) based on:
# 1. karma (big boost)
# 2. length of document (to compensate for lucene's algorithm, which tends to reward short documents)
boost = 1.0;
karma = self._get_field_value(fields, 'karma')
text = self._get_field_value(fields, 'text')
if karma:
effective_karma = max(float(karma), -2) # to keep from boosting too low into oblivion
boost += effective_karma / 6
# boost *= pow(len(text), 0.5) / 50
boost += pow(len(text), 0.2)
# boost individual field names (query strings found in the title should be rewarded)
type = self._get_field_value(fields, 'type')
for x in fields:
name = str(x[0])
if name=='title':
x.append(3.0)
if name=='tags':
x.append(3.0)
elif name=='u_name' and type=='User':
x.append(75.0)
elif name=='u_name':
x.append(3.0)
elif name=='g_name' and type=='Group':
x.append(75.0)
else:
x.append(1.0)
# convert all field names to strings and clean up field values
if _use_pyxmlrpc:
newfields = [(str(x[0]), self._remove_bad_characters(x[1]), _xmlrpc.boolean(x[2]), _xmlrpc.boolean(x[3]), _xmlrpc.boolean(x[4]), x[5]) for x in fields]
else:
newfields = [(str(x[0]), self._remove_bad_characters(x[1]), x[2], x[3], x[4], x[5]) for x in fields]
# send it to lucene!
if _use_pyxmlrpc:
ok = self._server.execute('lucene.queue_document',[_xmlrpc.boolean(self.async), newfields, _xmlrpc.boolean(existing), 'oid', self._get_field_value(fields, 'oid'), boost, _xmlrpc.boolean(self.commit_immediately)])
else:
ok = self._server.lucene.queue_document(self.async, newfields, existing, 'oid', self._get_field_value(fields, 'oid'), boost, self.commit_immediately)
assert(ok)
def search(self, results, user, types, query, sort, minKarma, minDate, group, start, end, min_breadth=0):
"""
Perform a search in the 'text' field of each searchable item.
Lucene's query parser allows boolean (AND,OR,NOT,+,-), wildcard (*),
fuzzy (~), and phrase ("") matches. By default, terms use the AND operator.
"""
# calculate how many results we need
num_results_needed = end - start + 1
# we'll try as many times as necessary to retrieve the number
# of matches requested, but usually we'll only need to try once
num_to_retrieve = end + num_results_needed*2 # arbitrary padding
my_results = []
last_numhits = -1
numhits_accessible = 0
# pad karma with leading zeroes so sort works inside lucene
if minKarma != 'any':
minKarma = minKarma.zfill(6)
numTries = 0
maxTries = 2
while len(my_results) < num_results_needed and numTries < maxTries:
numTries += 1
if sort == 'date' or sort == 'karma' or sort == 'end_date':
reverse_sort = True
if sort == 'end_date':
reverse_sort = False
if _use_pyxmlrpc:
hits = self._server.execute('lucene.search', [query, types, str(minKarma), str(minDate), sort, _xmlrpc.boolean(reverse_sort), 1, num_to_retrieve])
else:
hits = self._server.lucene.search(query, types, str(minKarma), str(minDate), sort, reverse_sort, 1, num_to_retrieve)
else:
if _use_pyxmlrpc:
hits = self._server.execute('lucene.search', [query, types, str(minKarma), str(minDate), '', _xmlrpc.boolean(False), 1, num_to_retrieve])
else:
hits = self._server.lucene.search(query, types, str(minKarma), str(minDate), '', False, 1, num_to_retrieve)
numhits = len(hits) - 1 # -1 is to account for the last element, which is just the # of total hits
# check to see if we didn't end up getting any more this round, and if not,
# let's not bother doing another round
if numhits <= last_numhits:
break
last_numhits = numhits
# last element is total # of hits
num_total_hits = hits.pop()
# let's go through each hit and assemble our
# list of search results.
my_results = []
skipped = 0
numhits_accessible = 0
for d in hits:
d['oid'] = self._decode_oid(d.get('oid'))
try:
obj = qon.util.get_oid(d.get('oid'))
obj.can_read(user) # every obj needs a can_read() method
except:
continue
if not self._can_read(d, user) or not self._matches_groups(d, user, group):
continue
#if isinstance(d, HasKarma) and d.get_karma_breadth() < min_breadth:
#obj = qon.util.get_oid(d.get('oid'))
if isinstance(obj, HasKarma) and obj.get_karma_breadth() < min_breadth:
continue
# we got a good one, so tally it up
numhits_accessible += 1
# skip until we've reached our starting point
if skipped < start-1:
skipped += 1
else:
if len(my_results) < num_results_needed:
# create a SearchResult object and append it to the end
sr = SearchResult(d, d.get('_score'))
my_results.append(sr)
# if we have to re-run the query, fetch more in the next iteration
num_to_retrieve += self._fetch_increment
results.extend(my_results)
# check to see if we "pinned the needle" which means there are probably
# more hits, but we stopped short because we got what we needed for this page
if last_numhits == num_to_retrieve - self._fetch_increment:
return num_total_hits * numhits_accessible / len(hits) # an estimate based on what % was filtered out
return numhits_accessible
def commit_documents(self):
if _use_pyxmlrpc:
ok = self._server.execute('lucene.commit_documents', [_xmlrpc.boolean(self.async)])
else:
ok = self._server.lucene.commit_documents(self.async)
assert(ok)
