# encoding: utf8
+from collections import namedtuple
+import os, os.path
+import pkg_resources
+import random
import re
+import shutil
+import unicodedata
from sqlalchemy.sql import func
import whoosh
+import whoosh.filedb.filestore
+import whoosh.filedb.fileindex
+import whoosh.index
from whoosh.qparser import QueryParser
+import whoosh.scoring
import whoosh.spelling
+from pokedex.db import connect
import pokedex.db.tables as tables
+from pokedex.roomaji import romanize
-# Dictionary of table name => table class.
-# Need the table name so we can get the class from the table name after we
-# retrieve something from the index
-indexed_tables = {}
-for cls in [
- tables.Ability,
- tables.Item,
- tables.Move,
- tables.Pokemon,
- tables.Type,
- ]:
- indexed_tables[cls.__tablename__] = cls
-
-# Dictionary of extra keys to file types of objects under, e.g. Pokémon can
-# also be looked up purely by number
-extra_keys = {
- tables.Move: [
- lambda row: u"move %d" % row.id,
- ],
- tables.Pokemon: [
- lambda row: unicode(row.id),
- ],
-}
-
-index_bits = {}
-def get_index(session):
- """Returns (index, speller).
-
- Creates an index if one does not exist.
+__all__ = ['PokedexLookup']
+
+
+rx_is_number = re.compile('^\d+$')
+
+LookupResult = namedtuple('LookupResult',
+ ['object', 'indexed_name', 'name', 'language', 'iso3166', 'exact'])
+
+class LanguageWeighting(whoosh.scoring.Weighting):
+ """A scoring class that forces otherwise-equal English results to come
+ before foreign results.
"""
- if index_bits:
- return index_bits['index'], index_bits['speller']
+ def score(self, searcher, fieldnum, text, docnum, weight, QTF=1):
+ doc = searcher.stored_fields(docnum)
+ if doc['language'] == None:
+ # English (well, "default"); leave it at 1
+ return weight
+ elif doc['language'] == u'Roomaji':
+ # Give Roomaji a little boost; it's most likely to be searched
+ return weight * 0.95
+ else:
+ # Everything else can drop down the totem pole
+ return weight * 0.9
+
+
+class PokedexLookup(object):
+ INTERMEDIATE_LOOKUP_RESULTS = 25
+ MAX_LOOKUP_RESULTS = 10
- store = whoosh.store.RamStorage()
- schema = whoosh.fields.Schema(
- name=whoosh.fields.ID(stored=True),
- table=whoosh.fields.STORED,
- row_id=whoosh.fields.STORED,
- language_id=whoosh.fields.STORED,
+ # Dictionary of table name => table class.
+ # Need the table name so we can get the class from the table name after we
+ # retrieve something from the index
+ indexed_tables = dict(
+ (cls.__tablename__, cls)
+ for cls in (
+ tables.Ability,
+ tables.Item,
+ tables.Location,
+ tables.Move,
+ tables.Nature,
+ tables.Pokemon,
+ tables.Type,
+ )
)
- # Construct a straight lookup index
- index = whoosh.index.Index(store, schema=schema, create=True)
- writer = index.writer()
-
- # Index every name in all our tables of interest
- speller_entries = []
- for cls in indexed_tables.values():
- q = session.query(cls)
-
- # Only index base Pokémon formes
- if hasattr(cls, 'forme_base_pokemon_id'):
- q = q.filter_by(forme_base_pokemon_id=None)
-
- for row in q.yield_per(5):
- row_key = dict(table=cls.__tablename__, row_id=row.id)
-
- # Spelling index only indexes strings of letters, alas, so we
- # reduce every name to this to make the index work. However, exact
- # matches are not returned, so e.g. 'nidoran' would neither match
- # exactly nor fuzzy-match. Solution: add the spelling-munged name
- # as a regular index row too.
- name = row.name.lower()
- writer.add_document(name=name, **row_key)
-
- speller_entries.append(name)
-
- for extra_key_func in extra_keys.get(cls, []):
- extra_key = extra_key_func(row)
- writer.add_document(name=extra_key, **row_key)
-
- 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
- speller = whoosh.spelling.SpellChecker(index.storage)
- # WARNING: HERE BE DRAGONS
- # whoosh.spelling refuses to index things that don't look like words.
- # Unfortunately, this doesn't work so well for Pokémon (Mr. Mime,
- # Porygon-Z, etc.), and attempts to work around it lead to further
- # complications.
- # The below is copied from SpellChecker.add_scored_words without the check
- # for isalpha(). XXX get whoosh patched to make this unnecessary!
- writer = whoosh.writing.IndexWriter(speller.index())
- for word in speller_entries:
- fields = {"word": word, "score": 1}
- for size in xrange(speller.mingram, speller.maxgram + 1):
- nga = whoosh.analysis.NgramAnalyzer(size)
- gramlist = [t.text for t in nga(word)]
- if len(gramlist) > 0:
- fields["start%s" % size] = gramlist[0]
- fields["end%s" % size] = gramlist[-1]
- fields["gram%s" % size] = " ".join(gramlist)
- writer.add_document(**fields)
- writer.commit()
- # end copy-pasta
-
- index_bits['index'] = index
- index_bits['speller'] = speller
- index_bits['store'] = store
- return index_bits['index'], index_bits['speller']
-
-def lookup(session, name, exact_only=False):
- """Attempts to find some sort of object, given a database session and name.
-
- Returns (objects, exact) where `objects` is a list of database objects, and
- `exact` is True iff the given name matched the returned objects exactly.
-
- This function ONLY does fuzzy matching if there are no exact matches.
-
- Formes are not returned; "Shaymin" will return only grass Shaymin.
-
- Currently recognizes:
- - Pokémon names: "Eevee"
- """
- exact = True
+ def __init__(self, directory=None, session=None, recreate=False):
+ """Opens the whoosh index stored in the named directory. If the index
+ doesn't already exist, it will be created.
+
+ `directory`
+ Directory containing the index. Defaults to a location within the
+ `pokedex` egg directory.
+
+ `session`
+ If the index needs to be created, this database session will be
+ used. Defaults to an attempt to connect to the default SQLite
+ database installed by `pokedex setup`.
+
+ `recreate`
+ If set to True, the whoosh index will be created even if it already
+ exists.
+ """
+
+ # By the time this returns, self.index, self.speller, and self.session
+ # must be set
+
+ # Defaults
+ if not directory:
+ directory = pkg_resources.resource_filename('pokedex',
+ 'data/whoosh-index')
+
+ if session:
+ self.session = session
+ else:
+ self.session = connect()
+
+ # Attempt to open or create the index
+ directory_exists = os.path.exists(directory)
+ if directory_exists and not recreate:
+ # Already exists; should be an index! Bam, done.
+ try:
+ self.index = whoosh.index.open_dir(directory, indexname='MAIN')
+ spell_store = whoosh.filedb.filestore.FileStorage(directory)
+ self.speller = whoosh.spelling.SpellChecker(spell_store)
+ return
+ except whoosh.index.EmptyIndexError as e:
+ # Apparently not a real index. Fall out and create it
+ pass
+
+ # Delete and start over if we're going to bail anyway.
+ if directory_exists and recreate:
+ # Be safe and only delete if it looks like a whoosh index, i.e.,
+ # everything starts with _
+ if all(f[0] == '_' for f in os.listdir(directory)):
+ shutil.rmtree(directory)
+ directory_exists = False
+
+ if not directory_exists:
+ os.mkdir(directory)
+
+
+ ### Create index
+ schema = whoosh.fields.Schema(
+ name=whoosh.fields.ID(stored=True),
+ table=whoosh.fields.ID(stored=True),
+ row_id=whoosh.fields.ID(stored=True),
+ language=whoosh.fields.STORED,
+ iso3166=whoosh.fields.STORED,
+ display_name=whoosh.fields.STORED, # non-lowercased name
+ )
+
+ self.index = whoosh.index.create_in(directory, schema=schema,
+ indexname='MAIN')
+ 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 = []
+ for cls in self.indexed_tables.values():
+ q = self.session.query(cls)
+
+ for row in q.yield_per(5):
+ row_key = dict(table=unicode(cls.__tablename__),
+ row_id=unicode(row.id))
+
+ def add(name, language, iso3166, score):
+ normalized_name = self.normalize_name(name)
+
+ writer.add_document(
+ name=normalized_name, display_name=name,
+ language=language, iso3166=iso3166,
+ **row_key
+ )
+
+ speller_entries.append((normalized_name, score))
+
+
+ # 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)
+
+ # 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
+ # language; no point and it makes spell results
+ # confusing
+ continue
+
+ add(moonspeak, foreign_name.language.name,
+ foreign_name.language.iso3166,
+ 3)
+
+ # Add Roomaji too
+ if foreign_name.language.name == 'Japanese':
+ roomaji = romanize(foreign_name.name)
+ add(roomaji, u'Roomaji', u'jp', 8)
+
+ 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)
+
+
+ def normalize_name(self, name):
+ """Strips irrelevant formatting junk from name input.
+
+ Specifically: everything is lowercased, and accents are removed.
+ """
+ # http://stackoverflow.com/questions/517923/what-is-the-best-way-to-remove-accents-in-a-python-unicode-string
+ # Makes sense to me. Decompose by Unicode rules, then remove combining
+ # characters, then recombine. I'm explicitly doing it this way instead
+ # of testing combining() because Korean characters apparently
+ # decompose! But the results are considered letters, not combining
+ # characters, so testing for Mn works well, and combining them again
+ # makes them look right.
+ nkfd_form = unicodedata.normalize('NFKD', unicode(name))
+ name = u"".join(c for c in nkfd_form
+ if unicodedata.category(c) != 'Mn')
+ name = unicodedata.normalize('NFC', name)
+
+ name = name.strip()
+ name = name.lower()
+
+ return name
+
+
+ def _apply_valid_types(self, name, valid_types):
+ """Combines the enforced `valid_types` with any from the search string
+ itself and updates the query.
+
+ For example, a name of 'a,b:foo' and valid_types of b,c will search for
+ only `b`s named "foo".
+
+ Returns `(name, merged_valid_types, term)`, where `name` has had any type
+ prefix stripped, `merged_valid_types` combines the original
+ `valid_types` with the type prefix, and `term` is a query term for
+ limited to just the allowed types. If there are no type restrictions
+ at all, `term` will be None.
+ """
+
+ # Remove any type prefix (pokemon:133) first
+ user_valid_types = []
+ if ':' in name:
+ prefix_chunk, name = name.split(':', 1)
+ name = name.strip()
+
+ prefixes = prefix_chunk.split(',')
+ user_valid_types = [_.strip() for _ in prefixes]
+
+ # 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)
+ )
- index, speller = get_index(session)
+ 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
- # Look for exact name. A Term object does an exact match, so we don't have
- # to worry about a query parser tripping on weird characters in the input
- searcher = index.searcher()
- query = whoosh.query.Term('name', name)
- results = searcher.search(query)
+ if not combined_valid_types:
+ # No restrictions
+ return name, [], None
- if not exact_only:
- # Look for some fuzzy matches
- if not results:
+ # Construct the term
+ type_terms = []
+ final_valid_types = []
+ for valid_type in combined_valid_types:
+ table_name = self._parse_table_name(valid_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)
+
+
+ def _parse_table_name(self, name):
+ """Takes a singular table name, table name, or table object and returns
+ the table name.
+
+ Returns None for a bogus name.
+ """
+ if hasattr(name, '__tablename__'):
+ return getattr(name, '__tablename__')
+ elif name in self.indexed_tables:
+ return name
+ elif name + 's' in self.indexed_tables:
+ return name + 's'
+ else:
+ # Bogus. Be nice and return dummy
+ return None
+
+ def _whoosh_records_to_results(self, records, exact=True):
+ """Converts a list of whoosh's indexed records to LookupResult tuples
+ containing database objects.
+ """
+ # XXX this 'exact' thing is getting kinda leaky. would like a better
+ # way to handle it, since only lookup() cares about fuzzy results
+ seen = {}
+ results = []
+ for record in records:
+ # Skip dupes
+ seen_key = record['table'], record['row_id']
+ if seen_key in seen:
+ continue
+ seen[seen_key] = True
+
+ cls = self.indexed_tables[record['table']]
+ obj = self.session.query(cls).get(record['row_id'])
+
+ results.append(LookupResult(object=obj,
+ indexed_name=record['name'],
+ name=record['display_name'],
+ language=record['language'],
+ iso3166=record['iso3166'],
+ exact=exact))
+
+ return results
+
+
+ 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.
+
+ This function currently ONLY does fuzzy matching if there are no exact
+ matches.
+
+ Formes are not returned unless requested; "Shaymin" will return only
+ grass Shaymin.
+
+ Extraneous whitespace is removed with extreme prejudice.
+
+ Recognizes:
+ - Names: "Eevee", "Surf", "Run Away", "Payapa Berry", etc.
+ - Foreign names: "Iibui", "Eivui"
+ - Fuzzy names in whatever language: "Evee", "Ibui"
+ - IDs: "133", "192", "250"
+ 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.
+ - 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.
+
+ `exact_only`
+ If True, only exact matches are returned. If set to False (the
+ default), and the provided `name` doesn't match anything exactly,
+ spelling correction will be attempted.
+ """
+
+ name = self.normalize_name(input)
+ exact = True
+ form = None
+
+ # Pop off any type prefix and merge with valid_types
+ name, merged_valid_types, type_term = \
+ self._apply_valid_types(name, valid_types)
+
+ # Random lookup
+ if name == 'random':
+ return self.random_lookup(valid_types=merged_valid_types)
+
+ # Do different things depending what the query looks like
+ # Note: Term objects do an exact match, so we don't have to worry about
+ # a query parser tripping on weird characters in the input
+ if '*' in name or '?' in name:
+ exact_only = True
+ query = whoosh.query.Wildcard(u'name', name)
+ elif rx_is_number.match(name):
+ # Don't spell-check numbers!
+ exact_only = True
+ query = whoosh.query.Term(u'row_id', name)
+ else:
+ # Not an integer
+ query = whoosh.query.Term(u'name', name)
+
+ if type_term:
+ query = query & type_term
+
+
+ ### 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)
+
+ # Look for some fuzzy matches if necessary
+ if not exact_only and not results:
exact = False
results = []
- for suggestion in speller.suggest(name, 3):
+ for suggestion in self.speller.suggest(
+ name, self.INTERMEDIATE_LOOKUP_RESULTS):
+
query = whoosh.query.Term('name', suggestion)
results.extend(searcher.search(query))
- # Convert results to db objects
- objects = []
- seen = {}
- for result in results:
- # Skip dupe results
- seen_key = result['table'], result['row_id']
- if seen_key in seen:
- continue
- seen[seen_key] = True
-
- cls = indexed_tables[result['table']]
- obj = session.query(cls).get(result['row_id'])
- objects.append(obj)
-
- return objects, exact
+ ### 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]
+
+
+ def random_lookup(self, valid_types=[]):
+ """Returns a random lookup result from one of the provided
+ `valid_types`.
+ """
+
+ tables = []
+ for valid_type in valid_types:
+ table_name = self._parse_table_name(valid_type)
+ if table_name:
+ tables.append(self.indexed_tables[table_name])
+
+ if not tables:
+ # 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] ])
+
+ 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
+
+ searcher = self.index.searcher()
+ searcher.weighting = LanguageWeighting()
+ results = searcher.search(query) # XXX , limit=self.MAX_LOOKUP_RESULTS)
+
+ return self._whoosh_records_to_results(results)
projects / zzz-pokedex.git / blobdiff