veekun_pokedex/pokedex/lookup.py

319 lines
11 KiB
Python

# encoding: utf8
from collections import namedtuple
import os, os.path
import pkg_resources
import re
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
__all__ = ['open_index', 'lookup']
# 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
def open_index(directory=None, session=None, recreate=False):
"""Opens the whoosh index stored in the named directory and returns (index,
speller). 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.
"""
# Defaults
if not directory:
directory = pkg_resources.resource_filename('pokedex',
'data/whoosh_index')
if not session:
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!
try:
index = whoosh.index.open_dir(directory, indexname='MAIN')
spell_store = whoosh.filedb.filestore.FileStorage(directory)
speller = whoosh.spelling.SpellChecker(spell_store)
return index, speller
except whoosh.index.EmptyIndexError as e:
# Apparently not a real index. Fall out of the if and create it
pass
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,
display_name=whoosh.fields.STORED, # non-lowercased name
forme_name=whoosh.fields.ID,
)
index = whoosh.index.create_in(directory, schema=schema, indexname='MAIN')
writer = 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 indexed_tables.values():
q = session.query(cls)
for row in q.yield_per(5):
# XXX need to give forme_name a dummy value because I can't search
# for explicitly empty fields. boo.
row_key = dict(table=unicode(cls.__tablename__),
row_id=unicode(row.id),
forme_name=u'XXX')
# If this is a form, mark it as such
if getattr(row, 'forme_base_pokemon_id', None):
row_key['forme_name'] = row.forme_name
name = row.name
writer.add_document(name=name.lower(),
display_name=name,
**row_key)
speller_entries.append((name.lower(), 1))
# Pokemon also get other languages
for foreign_name in getattr(row, 'foreign_names', []):
moonspeak = foreign_name.name
if name == moonspeak:
# Don't add the English name again as a different language;
# no point and it makes spell results confusing
continue
writer.add_document(name=moonspeak.lower(),
language=foreign_name.language.name,
display_name=moonspeak,
**row_key)
speller_entries.append((moonspeak.lower(), 3))
# Add Roomaji too
if foreign_name.language.name == 'Japanese':
roomaji = romanize(foreign_name.name)
writer.add_document(name=roomaji.lower(),
language='Roomaji',
display_name=roomaji,
**row_key)
speller_entries.append((roomaji.lower(), 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
speller = whoosh.spelling.SpellChecker(index.storage)
speller.add_scored_words(speller_entries)
return index, speller
class LanguageWeighting(whoosh.scoring.Weighting):
"""A scoring class that forces otherwise-equal English results to come
before foreign results.
"""
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 bit of a boost, as it's most likely to be searched
return weight * 0.95
else:
# Everything else can drop down the totem pole
return weight * 0.9
rx_is_number = re.compile('^\d+$')
LookupResult = namedtuple('LookupResult',
['object', 'name', 'language', 'exact'])
def lookup(input, valid_types=[], session=None, indices=None, exact_only=False):
"""Attempts to find some sort of object, given a database session and name.
Returns a list of named (object, name, language, exact) tuples. `object`
is a database object, `name` is the name under which the object was found,
`language` is the name 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; "Shaymin" will return only grass Shaymin.
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.
`session`
A database session to use for retrieving objects. As with get_index,
if this is not provided, a connection to the default database will be
attempted.
`indices`
Tuple of index, speller as returned from `open_index()`. Defaults to
a call to `open_index()`.
`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.
"""
if not session:
session = connect()
if indices:
index, speller = indices
else:
index, speller = open_index()
name = unicode(input).lower()
exact = True
form = None
# Remove any type prefix (pokemon:133) before constructing a query
if ':' in name:
prefix_chunk, name = name.split(':', 2)
prefixes = prefix_chunk.split(',')
if not valid_types:
# Only use types from the query string if none were explicitly
# provided
valid_types = prefixes
# If the input provided is a number, match it as an id. Otherwise, name.
# 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 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) \
& whoosh.query.Term(u'forme_name', u'XXX')
# If there's a space in the input, this might be a form
if ' ' in name:
form, formless_name = name.split(' ', 2)
form_query = whoosh.query.Term(u'name', formless_name) \
& whoosh.query.Term(u'forme_name', form)
query = query | form_query
### Filter by type of object
type_terms = []
for valid_type in valid_types:
if hasattr(valid_type, '__tablename__'):
table_name = getattr(valid_type, '__tablename__')
elif valid_type in indexed_tables:
table_name = valid_type
elif valid_type + 's' in indexed_tables:
table_name = valid_type + 's'
else:
# Bogus. Be nice and ignore it
continue
type_terms.append(whoosh.query.Term(u'table', table_name))
if type_terms:
query = query & whoosh.query.Or(type_terms)
### Actual searching
searcher = index.searcher()
searcher.weighting = LanguageWeighting() # XXX kosher? docs say search()
# takes a weighting kw but it
# certainly does not
results = searcher.search(query)
# Look for some fuzzy matches if necessary
if not exact_only and not results:
exact = False
results = []
for suggestion in speller.suggest(name, 25):
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(LookupResult(object=obj,
name=result['display_name'],
language=result['language'],
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[:10]