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https://github.com/veekun/pokedex.git
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4cd091241e
In Whoosh 2.5, fields that can be sorted on need to specify sortable=True or else take a performance hit (a large one, in our case). These probably don't all need to be sortable, but hey.
588 lines
22 KiB
Python
588 lines
22 KiB
Python
# encoding: utf8
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import os, os.path
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import random
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import re
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import unicodedata
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import whoosh
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import whoosh.index
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import whoosh.query
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import whoosh.sorting
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from whoosh.support import levenshtein
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from pokedex.compatibility import namedtuple
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from pokedex.db import connect
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import pokedex.db.tables as tables
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from pokedex.roomaji import romanize
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from pokedex.defaults import get_default_index_dir
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__all__ = ['PokedexLookup']
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rx_is_number = re.compile('^\d+$')
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LookupResult = namedtuple('LookupResult', [
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'object', 'indexed_name', 'name', 'language', 'iso639', 'iso3166', 'exact',
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])
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class UninitializedIndex(object):
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class UninitializedIndexError(Exception):
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pass
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def __nonzero__(self):
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"""Dummy object should identify itself as False."""
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return False
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def __bool__(self):
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"""Python 3000 version of the above. Future-proofing rules!"""
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return False
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def __getattr__(self, *args, **kwargs):
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raise self.UninitializedIndexError(
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"The lookup index does not exist. Please use `pokedex setup` "
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"or lookup.rebuild_index() to create it."
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)
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def LanguageFacet(locale_ident, extra_weights={}):
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"""Constructs a sorting function that bubbles results from the current
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locale (given by `locale_ident`) to the top of the list.
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`extra_weights` may be a dictionary of weights which will be factored in.
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Intended for use with spelling corrections, which come along with their own
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weightings.
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"""
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def score(searcher, docnum):
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doc = searcher.stored_fields(docnum)
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weight = extra_weights.get(doc['name'], 1.0)
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doc_language = doc['language']
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if doc_language == locale_ident:
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# Bump up names in the current locale
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weight *= 2.0
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elif doc_language == u'roomaji':
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# Given that the Japanese names are the originals, it seems likely
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# that basically anyone might want to look them up. Boost them a
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# little bit.
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weight *= 1.4
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# Higher weights should come FIRST, but sorts are ascending. Negate
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# the weight to fix this
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return -weight
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return whoosh.sorting.FunctionFacet(score)
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_table_order = dict(
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pokemon_species=1,
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pokemon_forms=1,
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moves=2,
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abilities=3,
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items=4,
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types=5,
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locations=6,
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natures=7,
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conquest_warriors=8,
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conquest_warrior_skills=9,
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conquest_kingdoms=10,
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)
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def _table_facet_impl(searcher, docnum):
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u"""Implements a sort that puts different "types" of results in a
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relatively natural order: Pokémon first, then moves, etc.
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"""
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doc = searcher.stored_fields(docnum)
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return _table_order[doc['table']]
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table_facet = whoosh.sorting.FunctionFacet(_table_facet_impl)
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class PokedexLookup(object):
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MAX_FUZZY_RESULTS = 10
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MAX_EXACT_RESULTS = 43
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INTERMEDIATE_FACTOR = 2
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# Dictionary of table name => table class.
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# Need the table name so we can get the class from the table name after we
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# retrieve something from the index
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indexed_tables = dict(
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(cls.__tablename__, cls)
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for cls in (
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tables.Ability,
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tables.Item,
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tables.Location,
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tables.Move,
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tables.Nature,
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tables.PokemonSpecies,
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tables.PokemonForm,
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tables.Type,
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tables.ConquestKingdom,
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tables.ConquestWarrior,
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tables.ConquestWarriorSkill,
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)
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)
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def __init__(self, directory=None, session=None):
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"""Opens the whoosh index stored in the named directory. If the index
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doesn't already exist, it will be created.
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`directory`
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Directory containing the index. Defaults to a location within the
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`pokedex` egg directory.
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`session`
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Used for creating the index and retrieving objects. Defaults to an
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attempt to connect to the default SQLite database installed by
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`pokedex setup`.
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"""
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# By the time this returns, self.index and self.session must be set
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# If a directory was not given, use the default
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if directory is None:
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directory = get_default_index_dir()
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self.directory = directory
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if session:
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self.session = session
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else:
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self.session = connect()
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# Attempt to open or create the index
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if not os.path.exists(directory) or not os.listdir(directory):
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# Directory doesn't exist OR is empty; caller needs to use
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# rebuild_index before doing anything. Provide a dummy object that
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# complains when used
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self.index = UninitializedIndex()
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return
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# Otherwise, already exists; should be an index! Bam, done.
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# Note that this will explode if the directory exists but doesn't
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# contain an index; that's a feature
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try:
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self.index = whoosh.index.open_dir(directory, indexname='MAIN')
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except whoosh.index.EmptyIndexError:
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raise IOError(
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"The index directory already contains files. "
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"Please use a dedicated directory for the lookup index."
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)
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def rebuild_index(self):
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"""Creates the index from scratch."""
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schema = whoosh.fields.Schema(
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name=whoosh.fields.ID(sortable=True, stored=True, spelling=True),
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table=whoosh.fields.ID(sortable=True, stored=True),
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row_id=whoosh.fields.ID(sortable=True, stored=True),
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language=whoosh.fields.STORED,
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iso639=whoosh.fields.ID(sortable=True, stored=True),
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iso3166=whoosh.fields.ID(sortable=True, stored=True),
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display_name=whoosh.fields.STORED, # non-lowercased name
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)
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if os.path.exists(self.directory):
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# create_in() isn't totally reliable, so just nuke whatever's there
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# manually. Try to be careful about this...
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for f in os.listdir(self.directory):
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if re.match('^_?(MAIN|SPELL)_', f):
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os.remove(os.path.join(self.directory, f))
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else:
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os.mkdir(self.directory)
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self.index = whoosh.index.create_in(self.directory, schema=schema,
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indexname='MAIN')
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writer = self.index.writer()
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# Index every name in all our tables of interest
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for cls in self.indexed_tables.values():
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q = self.session.query(cls).order_by(cls.id)
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for row in q.yield_per(5):
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row_key = dict(table=unicode(cls.__tablename__),
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row_id=unicode(row.id))
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def add(name, language, iso639, iso3166):
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normalized_name = self.normalize_name(name)
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writer.add_document(
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name=normalized_name, display_name=name,
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language=language, iso639=iso639, iso3166=iso3166,
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**row_key
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)
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if cls == tables.PokemonForm:
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name_map = 'pokemon_name_map'
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else:
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name_map = 'name_map'
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for language, name in getattr(row, name_map, {}).items():
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if not name:
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continue
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add(name, language.identifier,
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language.iso639,
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language.iso3166)
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# Add generated Roomaji too
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# XXX this should be a first-class concept, not
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# piggybacking on Japanese
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if language.identifier == 'ja':
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add(romanize(name), language.identifier, language.iso639, language.iso3166)
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writer.commit()
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def normalize_name(self, name):
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"""Strips irrelevant formatting junk from name input.
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Specifically: everything is lowercased, and accents are removed.
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"""
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# http://stackoverflow.com/questions/517923/what-is-the-best-way-to-remove-accents-in-a-python-unicode-string
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# Makes sense to me. Decompose by Unicode rules, then remove combining
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# characters, then recombine. I'm explicitly doing it this way instead
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# of testing combining() because Korean characters apparently
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# decompose! But the results are considered letters, not combining
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# characters, so testing for Mn works well, and combining them again
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# makes them look right.
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nkfd_form = unicodedata.normalize('NFKD', unicode(name))
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name = u"".join(c for c in nkfd_form
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if unicodedata.category(c) != 'Mn')
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name = unicodedata.normalize('NFC', name)
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name = name.strip()
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name = name.lower()
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return name
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def _apply_valid_types(self, name, valid_types):
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"""Combines the enforced `valid_types` with any from the search string
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itself and updates the query.
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For example, a name of 'a,b:foo' and valid_types of b,c will search for
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only `b`s named "foo".
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Returns `(name, merged_valid_types, term)`, where `name` has had any type
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prefix stripped, `merged_valid_types` combines the original
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`valid_types` with the type prefix, and `term` is a query term for
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limited to just the allowed types. If there are no type restrictions
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at all, `term` will be None.
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"""
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# Remove any type prefix (pokemon:133) first
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user_valid_types = []
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if ':' in name:
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prefix_chunk, name = name.split(':', 1)
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name = name.strip()
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prefixes = prefix_chunk.split(',')
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user_valid_types = []
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for prefix in prefixes:
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prefix = prefix.strip()
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if prefix:
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user_valid_types.append(prefix)
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if prefix == 'pokemon':
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# When the user says 'pokemon', they really meant both
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# species & form.
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user_valid_types.append('pokemon_species')
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user_valid_types.append('pokemon_form')
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# Merge the valid types together. Only types that appear in BOTH lists
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# may be used.
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# As a special case, if the user asked for types that are explicitly
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# forbidden, completely ignore what the user requested.
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# And, just to complicate matters: "type" and language need to be
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# considered separately.
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def merge_requirements(func):
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user = filter(func, user_valid_types)
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system = filter(func, valid_types)
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if user and system:
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merged = list(set(user) & set(system))
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if merged:
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return merged
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else:
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# No overlap; use the system restrictions
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return system
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else:
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# One or the other is blank; use the one that's not
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return user or system
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# @foo means language must be foo; otherwise it's a table name
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lang_requirements = merge_requirements(lambda req: req[0] == u'@')
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type_requirements = merge_requirements(lambda req: req[0] != u'@')
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all_requirements = lang_requirements + type_requirements
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# Construct the term
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lang_terms = []
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for lang in lang_requirements:
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# Allow for either country or language codes
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lang_code = lang[1:]
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lang_terms.append(whoosh.query.Term(u'iso639', lang_code))
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lang_terms.append(whoosh.query.Term(u'iso3166', lang_code))
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type_terms = []
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for type in type_requirements:
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table_name = self._parse_table_name(type)
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# Quietly ignore bogus valid_types; more likely to DTRT
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if table_name:
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type_terms.append(whoosh.query.Term(u'table', table_name))
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# Combine both kinds of restriction
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all_terms = []
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if type_terms:
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all_terms.append(whoosh.query.Or(type_terms))
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if lang_terms:
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all_terms.append(whoosh.query.Or(lang_terms))
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return name, all_requirements, whoosh.query.And(all_terms)
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def _parse_table_name(self, name):
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"""Takes a singular table name, table name, or table object and returns
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the table name.
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Returns None for a bogus name.
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"""
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# Table object
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if hasattr(name, '__tablename__'):
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return getattr(name, '__tablename__')
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# Table name
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for table in self.indexed_tables.values():
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if name in (table.__tablename__, table.__singlename__):
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return table.__tablename__
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# Bogus. Be nice and return dummy
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return None
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def _whoosh_records_to_results(self, records, exact=True):
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"""Converts a list of whoosh's indexed records to LookupResult tuples
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containing database objects.
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"""
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# XXX cache me?
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languages = dict(
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(row.identifier, row)
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for row in self.session.query(tables.Language)
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)
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# XXX this 'exact' thing is getting kinda leaky. would like a better
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# way to handle it, since only lookup() cares about fuzzy results
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seen = {}
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results = []
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for record in records:
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# Skip dupes
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seen_key = record['table'], record['row_id']
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if seen_key in seen:
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continue
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seen[seen_key] = True
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# XXX minimize queries here?
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cls = self.indexed_tables[record['table']]
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obj = self.session.query(cls).get(record['row_id'])
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results.append(LookupResult(object=obj,
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indexed_name=record['name'],
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name=record['display_name'],
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language=languages[record['language']],
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iso639=record['iso639'],
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iso3166=record['iso3166'],
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exact=exact))
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return results
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def _get_current_locale(self):
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"""Returns the session's current default language, as an ORM row."""
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return self.session.query(tables.Language).get(
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self.session.default_language_id)
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def lookup(self, input, valid_types=[], exact_only=False):
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"""Attempts to find some sort of object, given a name.
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Returns a list of named (object, name, language, iso639, iso3166,
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exact) tuples. `object` is a database object, `name` is the name under
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which the object was found, `language` and the two isos are the name
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and country codes of the language in which the name was found, and
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`exact` is True iff this was an exact match.
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This function currently ONLY does fuzzy matching if there are no exact
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matches.
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Extraneous whitespace is removed with extreme prejudice.
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Recognizes:
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- Names: "Eevee", "Surf", "Run Away", "Payapa Berry", etc.
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- Foreign names: "Iibui", "Eivui"
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- Fuzzy names in whatever language: "Evee", "Ibui"
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- IDs: "133", "192", "250"
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Also:
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- Type restrictions. "type:psychic" will only return the type. This
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is how to make ID lookup useful. Multiple type specs can be entered
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with commas, as "move,item:1".
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- Language restrictions. "@fr:charge" will only return Tackle, which
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is called "Charge" in French. These can be combined with type
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restrictions, e.g., "@fr,move:charge".
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`input`
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Name of the thing to look for.
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`valid_types`
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A list of type or language restrictions, e.g., `['pokemon',
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'@ja']`. If this is provided, only results in one of the given
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tables will be returned.
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`exact_only`
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If True, only exact matches are returned. If set to False (the
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default), and the provided `name` doesn't match anything exactly,
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spelling correction will be attempted.
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"""
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name = self.normalize_name(input)
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exact = True
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# Pop off any type prefix and merge with valid_types
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name, merged_valid_types, type_term = \
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self._apply_valid_types(name, valid_types)
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# Random lookup
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if name == 'random':
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return self.random_lookup(valid_types=merged_valid_types)
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# Do different things depending what the query looks like
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# Note: Term objects do an exact match, so we don't have to worry about
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# a query parser tripping on weird characters in the input
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try:
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# Let Python try to convert to a number, so 0xff works
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name_as_number = int(name, base=0)
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except ValueError:
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# Oh well
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name_as_number = None
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if '*' in name or '?' in name:
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exact_only = True
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query = whoosh.query.Wildcard(u'name', name)
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elif name_as_number is not None:
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# Don't spell-check numbers!
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exact_only = True
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query = whoosh.query.Term(u'row_id', unicode(name_as_number))
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else:
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# Not an integer
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query = whoosh.query.Term(u'name', name)
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if type_term:
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query = query & type_term
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### Actual searching
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# Limits; result limits are constants, and intermediate results (before
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# duplicate items are stripped out) are capped at the result limit
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# times another constant.
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# Fuzzy are capped at 10, beyond which something is probably very
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# wrong. Exact matches -- that is, wildcards and ids -- are far less
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# constrained.
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if exact_only:
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max_results = self.MAX_EXACT_RESULTS
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else:
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max_results = self.MAX_FUZZY_RESULTS
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locale = self._get_current_locale()
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facet = whoosh.sorting.MultiFacet([
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LanguageFacet(locale.identifier),
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table_facet,
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"name",
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])
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searcher = self.index.searcher()
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results = searcher.search(
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query,
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limit=int(max_results * self.INTERMEDIATE_FACTOR),
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sortedby=facet,
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)
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# Look for some fuzzy matches if necessary
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if not exact_only and not results:
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exact = False
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results = []
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fuzzy_query_parts = []
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fuzzy_weights = {}
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corrector = searcher.corrector('name')
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for suggestion in corrector.suggest(name, limit=max_results):
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fuzzy_query_parts.append(whoosh.query.Term('name', suggestion))
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distance = levenshtein.relative(name, suggestion)
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fuzzy_weights[suggestion] = distance
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if not fuzzy_query_parts:
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# Nothing at all; don't try querying
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return []
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fuzzy_query = whoosh.query.Or(fuzzy_query_parts)
|
|
if type_term:
|
|
fuzzy_query = fuzzy_query & type_term
|
|
|
|
sorter = LanguageFacet(
|
|
locale.identifier, extra_weights=fuzzy_weights)
|
|
results = searcher.search(fuzzy_query, sortedby=sorter)
|
|
|
|
### Convert results to db objects
|
|
objects = self._whoosh_records_to_results(results, exact=exact)
|
|
|
|
# Truncate and return
|
|
return objects[:max_results]
|
|
|
|
|
|
def random_lookup(self, valid_types=[]):
|
|
"""Returns a random lookup result from one of the provided
|
|
`valid_types`.
|
|
"""
|
|
|
|
table_names = []
|
|
for valid_type in valid_types:
|
|
table_name = self._parse_table_name(valid_type)
|
|
# 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 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 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.
|
|
|
|
Type prefixes are recognized, but no other name munging is done.
|
|
"""
|
|
|
|
# Pop off any type prefix and merge with valid_types
|
|
prefix, merged_valid_types, type_term = \
|
|
self._apply_valid_types(prefix, valid_types)
|
|
|
|
query = whoosh.query.Prefix(u'name', self.normalize_name(prefix))
|
|
|
|
if type_term:
|
|
query = query & type_term
|
|
|
|
locale = self._get_current_locale()
|
|
searcher = self.index.searcher()
|
|
facet = LanguageFacet(locale.identifier)
|
|
results = searcher.search(query, sortedby=facet) # XXX , limit=self.MAX_LOOKUP_RESULTS)
|
|
|
|
return self._whoosh_records_to_results(results)
|