# encoding: utf8
-from collections import namedtuple
import os, os.path
import random
import re
import whoosh.scoring
import whoosh.spelling
+from pokedex.util import namedtuple
+
from pokedex.db import connect
import pokedex.db.tables as tables
from pokedex.roomaji import romanize
before foreign results.
"""
+ def __init__(self, extra_weights={}, *args, **kwargs):
+ """`extra_weights` may be a dictionary of weights which will be
+ factored in.
+
+ Intended for use with spelling corrections, which come along with their
+ own weightings.
+ """
+ self.extra_weights = extra_weights
+ super(LanguageWeighting, self).__init__(*args, **kwargs)
+
def score(self, searcher, fieldnum, text, docnum, weight, QTF=1):
doc = searcher.stored_fields(docnum)
+
+ # Apply extra weight
+ weight = weight * self.extra_weights.get(text, 1.0)
+
if doc['language'] == None:
# English (well, "default"); leave it at 1
return weight
elif doc['language'] == u'Roomaji':
# Give Roomaji a little boost; it's most likely to be searched
- return weight * 0.95
+ return weight * 0.9
else:
# Everything else can drop down the totem pole
- return weight * 0.9
+ return weight * 0.8
class PokedexLookup(object):
INTERMEDIATE_LOOKUP_RESULTS = 25
MAX_LOOKUP_RESULTS = 10
+ # The speller only checks how much the input matches a word; there can be
+ # all manner of extra unmatched junk, and it won't affect the weighting.
+ # To compensate, greatly boost the weighting of matches at the beginning
+ # and end, so nearly-full-word-matches are much better
+ SPELLER_OPTIONS = dict(booststart=10.0, boostend=9.0)
+
# Dictionary of table name => table class.
# Need the table name so we can get the class from the table name after we
# retrieve something from the index
# Create speller, and done
spell_store = whoosh.filedb.filestore.FileStorage(directory)
- self.speller = whoosh.spelling.SpellChecker(spell_store)
+ self.speller = whoosh.spelling.SpellChecker(spell_store,
+ **self.SPELLER_OPTIONS)
def rebuild_index(self):
writer = self.index.writer()
# Index every name in all our tables of interest
- # speller_entries becomes a list of (word, score) tuples; the score is
- # 2 for English names, 1.5 for Roomaji, and 1 for everything else. I
- # think this biases the results in the direction most people expect,
- # especially when e.g. German names are very similar to English names
- speller_entries = []
+ speller_entries = set()
for cls in self.indexed_tables.values():
q = self.session.query(cls)
row_key = dict(table=unicode(cls.__tablename__),
row_id=unicode(row.id))
- def add(name, language, iso3166, score):
+ def add(name, language, iso3166):
normalized_name = self.normalize_name(name)
writer.add_document(
**row_key
)
- speller_entries.append((normalized_name, score))
+ speller_entries.add(normalized_name)
# Add the basic English name to the index
if cls == tables.Pokemon:
# Pokémon need their form name added
# XXX kinda kludgy
- add(row.full_name, None, u'us', 1)
+ add(row.full_name, None, u'us')
# If this is a default form, ALSO add the unadorned name,
# so 'Deoxys' alone will still do the right thing
if row.forme_name and not row.forme_base_pokemon_id:
- add(row.name, None, u'us', 1)
+ add(row.name, None, u'us')
else:
- add(row.name, None, u'us', 1)
+ add(row.name, None, u'us')
# Some things also have other languages' names
# XXX other language form names..?
continue
add(moonspeak, foreign_name.language.name,
- foreign_name.language.iso3166,
- 3)
+ foreign_name.language.iso3166)
# Add Roomaji too
if foreign_name.language.name == 'Japanese':
roomaji = romanize(foreign_name.name)
- add(roomaji, u'Roomaji', u'jp', 8)
+ add(roomaji, u'Roomaji', u'jp')
writer.commit()
# Construct and populate a spell-checker index. Quicker to do it all
# at once, as every call to add_* does a commit(), and those seem to be
# expensive
- self.speller = whoosh.spelling.SpellChecker(self.index.storage)
- self.speller.add_scored_words(speller_entries)
+ self.speller = whoosh.spelling.SpellChecker(self.index.storage, mingram=2,
+ **self.SPELLER_OPTIONS)
+ self.speller.add_words(speller_entries)
def normalize_name(self, name):
exact = False
results = []
- for suggestion in self.speller.suggest(
- name, self.INTERMEDIATE_LOOKUP_RESULTS):
-
- query = whoosh.query.Term('name', suggestion)
- results.extend(searcher.search(query))
+ fuzzy_query_parts = []
+ fuzzy_weights = {}
+ min_weight = [None]
+ for suggestion, _, weight in self.speller.suggestions_and_scores(name):
+ # Only allow the top 50% of scores; otherwise there will always
+ # be a lot of trailing junk
+ if min_weight[0] is None:
+ min_weight[0] = weight * 0.5
+ elif weight < min_weight[0]:
+ break
+
+ fuzzy_query_parts.append(whoosh.query.Term('name', suggestion))
+ fuzzy_weights[suggestion] = weight
+
+ if not fuzzy_query_parts:
+ # Nothing at all; don't try querying
+ return []
+
+ fuzzy_query = whoosh.query.Or(fuzzy_query_parts)
+ if type_term:
+ fuzzy_query = fuzzy_query & type_term
+
+ searcher.weighting = LanguageWeighting(extra_weights=fuzzy_weights)
+ results = searcher.search(fuzzy_query)
### Convert results to db objects
objects = self._whoosh_records_to_results(results, exact=exact)