import whoosh.scoring
import whoosh.spelling
-from pokedex.util import namedtuple
+from pokedex.compatibility import namedtuple
from pokedex.db import connect
import pokedex.db.tables as tables
rx_is_number = re.compile('^\d+$')
-LookupResult = namedtuple('LookupResult',
- ['object', 'indexed_name', 'name', 'language', 'iso3166', 'exact'])
+LookupResult = namedtuple('LookupResult', [
+ 'object', 'indexed_name', 'name', 'language', 'iso639', 'iso3166', 'exact',
+])
class UninitializedIndex(object):
class UninitializedIndexError(Exception):
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)
- if doc['language'] == None:
+
+ # Apply extra weight
+ weight = weight * self.extra_weights.get(text, 1.0)
+
+ language = doc.get('language')
+ if language is None:
# English (well, "default"); leave it at 1
return weight
- elif doc['language'] == u'Roomaji':
+ elif 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
+ MAX_FUZZY_RESULTS = 10
+ MAX_EXACT_RESULTS = 43
+ INTERMEDIATE_FACTOR = 2
+
+ # 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
tables.Move,
tables.Nature,
tables.Pokemon,
+ tables.PokemonForm,
tables.Type,
)
)
# 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):
table=whoosh.fields.ID(stored=True),
row_id=whoosh.fields.ID(stored=True),
language=whoosh.fields.STORED,
- iso3166=whoosh.fields.STORED,
+ iso639=whoosh.fields.ID(stored=True),
+ iso3166=whoosh.fields.ID(stored=True),
display_name=whoosh.fields.STORED, # non-lowercased name
)
- if not os.path.exists(self.directory):
+ if os.path.exists(self.directory):
+ # create_in() isn't totally reliable, so just nuke whatever's there
+ # manually. Try to be careful about this...
+ for f in os.listdir(self.directory):
+ if re.match('^_?(MAIN|SPELL)_', f):
+ os.remove(os.path.join(self.directory, f))
+ else:
os.mkdir(self.directory)
self.index = whoosh.index.create_in(self.directory, schema=schema,
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, iso639, iso3166):
normalized_name = self.normalize_name(name)
writer.add_document(
name=normalized_name, display_name=name,
- language=language, iso3166=iso3166,
+ language=language, iso639=iso639, iso3166=iso3166,
**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)
-
- # 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)
- else:
- add(row.name, None, u'us', 1)
+ # Don't re-add alternate forms of the same Pokémon; they'll
+ # be added as Pokémon forms instead
+ if not row.is_base_form:
+ continue
+ elif cls == tables.PokemonForm:
+ if row.name:
+ add(row.pokemon_name, None, u'en', u'us')
+ continue
# Some things also have other languages' names
# XXX other language form names..?
- for foreign_name in getattr(row, 'foreign_names', []):
- moonspeak = foreign_name.name
- if row.name == moonspeak:
- # Don't add the English name again as a different
+ seen = set()
+ for language, name in getattr(row, 'name_map', {}).items():
+ if name in seen:
+ # Don't add the name again as a different
# language; no point and it makes spell results
# confusing
continue
+ seen.add(name)
- add(moonspeak, foreign_name.language.name,
- foreign_name.language.iso3166,
- 3)
+ add(name, language.name,
+ language.iso639,
+ language.iso3166)
# Add Roomaji too
- if foreign_name.language.name == 'Japanese':
- roomaji = romanize(foreign_name.name)
- add(roomaji, u'Roomaji', u'jp', 8)
+ if language.identifier == 'ja':
+ roomaji = romanize(name)
+ add(roomaji, u'Roomaji', u'ja', 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):
name = name.strip()
prefixes = prefix_chunk.split(',')
- user_valid_types = [_.strip() for _ in prefixes]
+ user_valid_types = []
+ for prefix in prefixes:
+ prefix = prefix.strip()
+ if prefix:
+ user_valid_types.append(prefix)
# Merge the valid types together. Only types that appear in BOTH lists
# may be used.
# As a special case, if the user asked for types that are explicitly
- # forbidden, completely ignore what the user requested
- combined_valid_types = []
- if user_valid_types and valid_types:
- combined_valid_types = list(
- set(user_valid_types) & set(combined_valid_types)
- )
-
- if not combined_valid_types:
- # No overlap! Just use the enforced ones
- combined_valid_types = valid_types
- else:
- # One list or the other was blank, so just use the one that isn't
- combined_valid_types = valid_types + user_valid_types
+ # forbidden, completely ignore what the user requested.
+ # And, just to complicate matters: "type" and language need to be
+ # considered separately.
+ def merge_requirements(func):
+ user = filter(func, user_valid_types)
+ system = filter(func, valid_types)
+
+ if user and system:
+ merged = list(set(user) & set(system))
+ if merged:
+ return merged
+ else:
+ # No overlap; use the system restrictions
+ return system
+ else:
+ # One or the other is blank; use the one that's not
+ return user or system
- if not combined_valid_types:
- # No restrictions
- return name, [], None
+ # @foo means language must be foo; otherwise it's a table name
+ lang_requirements = merge_requirements(lambda req: req[0] == u'@')
+ type_requirements = merge_requirements(lambda req: req[0] != u'@')
+ all_requirements = lang_requirements + type_requirements
# Construct the term
+ lang_terms = []
+ for lang in lang_requirements:
+ # Allow for either country or language codes
+ lang_code = lang[1:]
+ lang_terms.append(whoosh.query.Term(u'iso639', lang_code))
+ lang_terms.append(whoosh.query.Term(u'iso3166', lang_code))
+
type_terms = []
- final_valid_types = []
- for valid_type in combined_valid_types:
- table_name = self._parse_table_name(valid_type)
+ for type in type_requirements:
+ table_name = self._parse_table_name(type)
# Quietly ignore bogus valid_types; more likely to DTRT
if table_name:
- final_valid_types.append(valid_type)
type_terms.append(whoosh.query.Term(u'table', table_name))
- return name, final_valid_types, whoosh.query.Or(type_terms)
+ # Combine both kinds of restriction
+ all_terms = []
+ if type_terms:
+ all_terms.append(whoosh.query.Or(type_terms))
+ if lang_terms:
+ all_terms.append(whoosh.query.Or(lang_terms))
+
+ return name, all_requirements, whoosh.query.And(all_terms)
def _parse_table_name(self, name):
results.append(LookupResult(object=obj,
indexed_name=record['name'],
name=record['display_name'],
- language=record['language'],
+ language=record.get('language'),
+ iso639=record['iso639'],
iso3166=record['iso3166'],
exact=exact))
def lookup(self, input, valid_types=[], exact_only=False):
"""Attempts to find some sort of object, given a name.
- Returns a list of named (object, name, language, iso3166, exact)
- tuples. `object` is a database object, `name` is the name under which
- the object was found, `language` and `iso3166` are the name and country
- code of the language in which the name was found, and `exact` is True
- iff this was an
- exact match.
+ Returns a list of named (object, name, language, iso639, iso3166,
+ exact) tuples. `object` is a database object, `name` is the name under
+ which the object was found, `language` and the two isos are the name
+ and country codes of the language in which the name was found, and
+ `exact` is True iff this was an exact match.
This function currently ONLY does fuzzy matching if there are no exact
matches.
Also:
- Type restrictions. "type:psychic" will only return the type. This
is how to make ID lookup useful. Multiple type specs can be entered
- with commas, as "move,item:1". If `valid_types` are provided, any
- type prefix will be ignored.
+ with commas, as "move,item:1".
+ - Language restrictions. "@fr:charge" will only return Tackle, which
+ is called "Charge" in French. These can be combined with type
+ restrictions, e.g., "@fr,move:charge".
- Alternate formes can be specified merely like "wash rotom".
`input`
Name of the thing to look for.
`valid_types`
- A list of table objects or names, e.g., `['pokemon', 'moves']`. If
- this is provided, only results in one of the given tables will be
- returned.
+ A list of type or language restrictions, e.g., `['pokemon',
+ '@ja']`. If this is provided, only results in one of the given
+ tables will be returned.
`exact_only`
If True, only exact matches are returned. If set to False (the
### Actual searching
- searcher = self.index.searcher()
- # XXX is this kosher? docs say search() takes a weighting arg, but it
- # certainly does not
- searcher.weighting = LanguageWeighting()
- results = searcher.search(query,
- limit=self.INTERMEDIATE_LOOKUP_RESULTS)
+ # Limits; result limits are constants, and intermediate results (before
+ # duplicate items are stripped out) are capped at the result limit
+ # times another constant.
+ # Fuzzy are capped at 10, beyond which something is probably very
+ # wrong. Exact matches -- that is, wildcards and ids -- are far less
+ # constrained.
+ # Also, exact matches are sorted by name, since weight doesn't matter.
+ sort_by = dict()
+ if exact_only:
+ max_results = self.MAX_EXACT_RESULTS
+ sort_by['sortedby'] = (u'table', u'name')
+ else:
+ max_results = self.MAX_FUZZY_RESULTS
+
+ searcher = self.index.searcher(weighting=LanguageWeighting())
+ results = searcher.search(
+ query,
+ limit=int(max_results * self.INTERMEDIATE_FACTOR),
+ **sort_by
+ )
# Look for some fuzzy matches if necessary
if not exact_only and not results:
exact = False
results = []
- for suggestion in self.speller.suggest(
- name, self.INTERMEDIATE_LOOKUP_RESULTS):
+ 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
- query = whoosh.query.Term('name', suggestion)
- if type_term:
- query = query & type_term
- results.extend(searcher.search(query))
+ 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)
- # Only return up to 10 matches; beyond that, something is wrong. We
- # strip out duplicate entries above, so it's remotely possible that we
- # should have more than 10 here and lost a few. The speller returns 25
- # to give us some padding, and should avoid that problem. Not a big
- # deal if we lose the 25th-most-likely match anyway.
- return objects[:self.MAX_LOOKUP_RESULTS]
+ # Truncate and return
+ return objects[:max_results]
def random_lookup(self, valid_types=[]):
`valid_types`.
"""
- tables = []
+ table_names = []
for valid_type in valid_types:
table_name = self._parse_table_name(valid_type)
- if table_name:
- tables.append(self.indexed_tables[table_name])
+ # Skip anything not recognized. Could be, say, a language code.
+ # XXX The vast majority of Pokémon forms are unnamed and unindexed,
+ # which can produce blank results. So skip them too for now.
+ if table_name and table_name != 'pokemon_forms':
+ table_names.append(table_name)
- if not tables:
+ if not table_names:
# n.b.: It's possible we got a list of valid_types and none of them
# were valid, but this function is guaranteed to return
- # *something*, so it politely selects from the entire index isntead
- tables = self.indexed_tables.values()
-
- # Rather than create an array of many hundred items and pick randomly
- # from it, just pick a number up to the total number of potential
- # items, then pick randomly from that, and partition the whole range
- # into chunks. This also avoids the slight problem that the index
- # contains more rows (for languages) for some items than others.
- # XXX ought to cache this (in the index?) if possible
- total = 0
- partitions = []
- for table in tables:
- count = self.session.query(table).count()
- total += count
- partitions.append((table, count))
-
- n = random.randint(1, total)
- while n > partitions[0][1]:
- n -= partitions[0][1]
- partitions.pop(0)
-
- return self.lookup(unicode(n), valid_types=[ partitions[0][0] ])
+ # *something*, so it politely selects from the entire index instead
+ table_names = self.indexed_tables.keys()
+ table_names.remove('pokemon_forms')
+
+ # Pick a random table, then pick a random item from it. Small tables
+ # like Type will have an unnatural bias. The alternative is that a
+ # simple search for "random" will do some eight queries, counting the
+ # rows in every single indexed table, and that's awful.
+ # XXX Can we improve on this, reasonably?
+ table_name = random.choice(table_names)
+ count = self.session.query(self.indexed_tables[table_name]).count()
+ id, = self.session.query(self.indexed_tables[table_name].id) \
+ .offset(random.randint(0, count - 1)) \
+ .first()
+
+ return self.lookup(unicode(id), valid_types=[table_name])
def prefix_lookup(self, prefix, valid_types=[]):
"""Returns terms starting with the given exact prefix.
projects / zzz-pokedex.git / blobdiff