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https://github.com/veekun/pokedex.git
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521 lines
19 KiB
Python
521 lines
19 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 shutil
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import unicodedata
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from sqlalchemy.sql import func
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import whoosh
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import whoosh.filedb.filestore
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import whoosh.filedb.fileindex
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import whoosh.index
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from whoosh.qparser import QueryParser
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import whoosh.scoring
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import whoosh.spelling
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from pokedex.util 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', 'iso3166', 'exact'])
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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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class LanguageWeighting(whoosh.scoring.Weighting):
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"""A scoring class that forces otherwise-equal English results to come
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before foreign results.
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"""
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def score(self, searcher, fieldnum, text, docnum, weight, QTF=1):
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doc = searcher.stored_fields(docnum)
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if doc['language'] == None:
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# English (well, "default"); leave it at 1
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return weight
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elif doc['language'] == u'Roomaji':
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# Give Roomaji a little boost; it's most likely to be searched
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return weight * 0.95
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else:
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# Everything else can drop down the totem pole
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return weight * 0.9
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class PokedexLookup(object):
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INTERMEDIATE_LOOKUP_RESULTS = 25
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MAX_LOOKUP_RESULTS = 10
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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.Pokemon,
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tables.Type,
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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, self.speller, and self.session
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# 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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self.speller = 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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# Create speller, and done
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spell_store = whoosh.filedb.filestore.FileStorage(directory)
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self.speller = whoosh.spelling.SpellChecker(spell_store)
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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(stored=True),
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table=whoosh.fields.ID(stored=True),
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row_id=whoosh.fields.ID(stored=True),
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language=whoosh.fields.STORED,
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iso3166=whoosh.fields.STORED,
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display_name=whoosh.fields.STORED, # non-lowercased name
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)
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if not os.path.exists(self.directory):
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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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# speller_entries becomes a list of (word, score) tuples; the score is
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# 2 for English names, 1.5 for Roomaji, and 1 for everything else. I
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# think this biases the results in the direction most people expect,
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# especially when e.g. German names are very similar to English names
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speller_entries = []
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for cls in self.indexed_tables.values():
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q = self.session.query(cls)
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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, iso3166, score):
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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, iso3166=iso3166,
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**row_key
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)
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speller_entries.append((normalized_name, score))
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# Add the basic English name to the index
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if cls == tables.Pokemon:
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# Pokémon need their form name added
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# XXX kinda kludgy
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add(row.full_name, None, u'us', 1)
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# If this is a default form, ALSO add the unadorned name,
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# so 'Deoxys' alone will still do the right thing
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if row.forme_name and not row.forme_base_pokemon_id:
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add(row.name, None, u'us', 1)
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else:
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add(row.name, None, u'us', 1)
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# Some things also have other languages' names
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# XXX other language form names..?
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for foreign_name in getattr(row, 'foreign_names', []):
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moonspeak = foreign_name.name
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if row.name == moonspeak:
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# Don't add the English name again as a different
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# language; no point and it makes spell results
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# confusing
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continue
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add(moonspeak, foreign_name.language.name,
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foreign_name.language.iso3166,
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3)
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# Add Roomaji too
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if foreign_name.language.name == 'Japanese':
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roomaji = romanize(foreign_name.name)
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add(roomaji, u'Roomaji', u'jp', 8)
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writer.commit()
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# Construct and populate a spell-checker index. Quicker to do it all
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# at once, as every call to add_* does a commit(), and those seem to be
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# expensive
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self.speller = whoosh.spelling.SpellChecker(self.index.storage)
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self.speller.add_scored_words(speller_entries)
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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 = [_.strip() for _ in prefixes]
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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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combined_valid_types = []
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if user_valid_types and valid_types:
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combined_valid_types = list(
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set(user_valid_types) & set(combined_valid_types)
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)
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if not combined_valid_types:
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# No overlap! Just use the enforced ones
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combined_valid_types = valid_types
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else:
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# One list or the other was blank, so just use the one that isn't
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combined_valid_types = valid_types + user_valid_types
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if not combined_valid_types:
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# No restrictions
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return name, [], None
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# Construct the term
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type_terms = []
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final_valid_types = []
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for valid_type in combined_valid_types:
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table_name = self._parse_table_name(valid_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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final_valid_types.append(valid_type)
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type_terms.append(whoosh.query.Term(u'table', table_name))
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return name, final_valid_types, whoosh.query.Or(type_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 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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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=record['language'],
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iso3166=record['iso3166'],
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exact=exact))
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return results
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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, iso3166, exact)
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tuples. `object` is a database object, `name` is the name under which
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the object was found, `language` and `iso3166` are the name and country
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code of the language in which the name was found, and `exact` is True
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iff this was an
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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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Formes are not returned unless requested; "Shaymin" will return only
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grass Shaymin.
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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". If `valid_types` are provided, any
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type prefix will be ignored.
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- Alternate formes can be specified merely like "wash rotom".
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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 table objects or names, e.g., `['pokemon', 'moves']`. If
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this is provided, only results in one of the given tables will be
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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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form = None
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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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searcher = self.index.searcher()
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# XXX is this kosher? docs say search() takes a weighting arg, but it
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# certainly does not
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searcher.weighting = LanguageWeighting()
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results = searcher.search(query,
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limit=self.INTERMEDIATE_LOOKUP_RESULTS)
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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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for suggestion in self.speller.suggest(
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name, self.INTERMEDIATE_LOOKUP_RESULTS):
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query = whoosh.query.Term('name', suggestion)
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results.extend(searcher.search(query))
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### Convert results to db objects
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objects = self._whoosh_records_to_results(results, exact=exact)
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# Only return up to 10 matches; beyond that, something is wrong. We
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# strip out duplicate entries above, so it's remotely possible that we
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# should have more than 10 here and lost a few. The speller returns 25
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# to give us some padding, and should avoid that problem. Not a big
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# deal if we lose the 25th-most-likely match anyway.
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return objects[:self.MAX_LOOKUP_RESULTS]
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def random_lookup(self, valid_types=[]):
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"""Returns a random lookup result from one of the provided
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`valid_types`.
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"""
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tables = []
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for valid_type in valid_types:
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table_name = self._parse_table_name(valid_type)
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if table_name:
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tables.append(self.indexed_tables[table_name])
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if not tables:
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# n.b.: It's possible we got a list of valid_types and none of them
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# were valid, but this function is guaranteed to return
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# *something*, so it politely selects from the entire index isntead
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tables = self.indexed_tables.values()
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# Rather than create an array of many hundred items and pick randomly
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# from it, just pick a number up to the total number of potential
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# items, then pick randomly from that, and partition the whole range
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# into chunks. This also avoids the slight problem that the index
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# contains more rows (for languages) for some items than others.
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# XXX ought to cache this (in the index?) if possible
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total = 0
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partitions = []
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for table in tables:
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count = self.session.query(table).count()
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total += count
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partitions.append((table, count))
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n = random.randint(1, total)
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while n > partitions[0][1]:
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n -= partitions[0][1]
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partitions.pop(0)
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return self.lookup(unicode(n), valid_types=[ partitions[0][0] ])
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def prefix_lookup(self, prefix, valid_types=[]):
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"""Returns terms starting with the given exact prefix.
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Type prefixes are recognized, but no other name munging is done.
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"""
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# Pop off any type prefix and merge with valid_types
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prefix, merged_valid_types, type_term = \
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self._apply_valid_types(prefix, valid_types)
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query = whoosh.query.Prefix(u'name', self.normalize_name(prefix))
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if type_term:
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query = query & type_term
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searcher = self.index.searcher()
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searcher.weighting = LanguageWeighting()
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results = searcher.search(query) # XXX , limit=self.MAX_LOOKUP_RESULTS)
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return self._whoosh_records_to_results(results)
|