mirror of
https://github.com/veekun/pokedex.git
synced 2024-07-03 02:55:49 +00:00
558 lines
20 KiB
Python
558 lines
20 KiB
Python
# encoding: utf8
|
|
import os, os.path
|
|
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.util import namedtuple
|
|
|
|
from pokedex.db import connect
|
|
import pokedex.db.tables as tables
|
|
from pokedex.roomaji import romanize
|
|
from pokedex.defaults import get_default_index_dir
|
|
|
|
__all__ = ['PokedexLookup']
|
|
|
|
|
|
rx_is_number = re.compile('^\d+$')
|
|
|
|
LookupResult = namedtuple('LookupResult',
|
|
['object', 'indexed_name', 'name', 'language', 'iso3166', 'exact'])
|
|
|
|
class UninitializedIndex(object):
|
|
class UninitializedIndexError(Exception):
|
|
pass
|
|
|
|
def __nonzero__(self):
|
|
"""Dummy object should identify itself as False."""
|
|
return False
|
|
|
|
def __bool__(self):
|
|
"""Python 3000 version of the above. Future-proofing rules!"""
|
|
return False
|
|
|
|
def __getattr__(self, *args, **kwargs):
|
|
raise self.UninitializedIndexError(
|
|
"The lookup index does not exist. Please use `pokedex setup` "
|
|
"or lookup.rebuild_index() to create it."
|
|
)
|
|
|
|
class LanguageWeighting(whoosh.scoring.Weighting):
|
|
"""A scoring class that forces otherwise-equal English results to come
|
|
before foreign results.
|
|
"""
|
|
|
|
def __init__(self, extra_weights={}, *args, **kwargs):
|
|
"""`extra_weights` may be a dictionary of weights which will be
|
|
factored in.
|
|
|
|
Intended for use with spelling corrections, which come along with their
|
|
own weightings.
|
|
"""
|
|
self.extra_weights = extra_weights
|
|
super(LanguageWeighting, self).__init__(*args, **kwargs)
|
|
|
|
def score(self, searcher, fieldnum, text, docnum, weight, QTF=1):
|
|
doc = searcher.stored_fields(docnum)
|
|
|
|
# Apply extra weight
|
|
weight = weight * self.extra_weights.get(text, 1.0)
|
|
|
|
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 * 0.9
|
|
else:
|
|
# Everything else can drop down the totem pole
|
|
return weight * 0.8
|
|
|
|
|
|
class PokedexLookup(object):
|
|
INTERMEDIATE_LOOKUP_RESULTS = 25
|
|
MAX_LOOKUP_RESULTS = 10
|
|
|
|
# The speller only checks how much the input matches a word; there can be
|
|
# all manner of extra unmatched junk, and it won't affect the weighting.
|
|
# To compensate, greatly boost the weighting of matches at the beginning
|
|
# and end, so nearly-full-word-matches are much better
|
|
SPELLER_OPTIONS = dict(booststart=10.0, boostend=9.0)
|
|
|
|
# Dictionary of table name => table class.
|
|
# Need the table name so we can get the class from the table name after we
|
|
# 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,
|
|
)
|
|
)
|
|
|
|
|
|
def __init__(self, directory=None, session=None):
|
|
"""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`
|
|
Used for creating the index and retrieving objects. Defaults to an
|
|
attempt to connect to the default SQLite database installed by
|
|
`pokedex setup`.
|
|
"""
|
|
|
|
# By the time this returns, self.index, self.speller, and self.session
|
|
# must be set
|
|
|
|
# If a directory was not given, use the default
|
|
if directory is None:
|
|
directory = get_default_index_dir()
|
|
|
|
self.directory = directory
|
|
|
|
if session:
|
|
self.session = session
|
|
else:
|
|
self.session = connect()
|
|
|
|
# Attempt to open or create the index
|
|
if not os.path.exists(directory) or not os.listdir(directory):
|
|
# Directory doesn't exist OR is empty; caller needs to use
|
|
# rebuild_index before doing anything. Provide a dummy object that
|
|
# complains when used
|
|
self.index = UninitializedIndex()
|
|
self.speller = UninitializedIndex()
|
|
return
|
|
|
|
# Otherwise, already exists; should be an index! Bam, done.
|
|
# Note that this will explode if the directory exists but doesn't
|
|
# contain an index; that's a feature
|
|
try:
|
|
self.index = whoosh.index.open_dir(directory, indexname='MAIN')
|
|
except whoosh.index.EmptyIndexError:
|
|
raise IOError(
|
|
"The index directory already contains files. "
|
|
"Please use a dedicated directory for the lookup index."
|
|
)
|
|
|
|
# Create speller, and done
|
|
spell_store = whoosh.filedb.filestore.FileStorage(directory)
|
|
self.speller = whoosh.spelling.SpellChecker(spell_store,
|
|
**self.SPELLER_OPTIONS)
|
|
|
|
|
|
def rebuild_index(self):
|
|
"""Creates the index from scratch."""
|
|
|
|
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
|
|
)
|
|
|
|
if not os.path.exists(self.directory):
|
|
os.mkdir(self.directory)
|
|
|
|
self.index = whoosh.index.create_in(self.directory, schema=schema,
|
|
indexname='MAIN')
|
|
writer = self.index.writer()
|
|
|
|
# Index every name in all our tables of interest
|
|
speller_entries = set()
|
|
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):
|
|
normalized_name = self.normalize_name(name)
|
|
|
|
writer.add_document(
|
|
name=normalized_name, display_name=name,
|
|
language=language, iso3166=iso3166,
|
|
**row_key
|
|
)
|
|
|
|
speller_entries.add(normalized_name)
|
|
|
|
|
|
# Add the basic English name to the index
|
|
if cls == tables.Pokemon:
|
|
# Pokémon need their form name added
|
|
# XXX kinda kludgy
|
|
add(row.full_name, None, u'us')
|
|
|
|
# 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')
|
|
else:
|
|
add(row.name, None, u'us')
|
|
|
|
# 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)
|
|
|
|
# Add Roomaji too
|
|
if foreign_name.language.name == 'Japanese':
|
|
roomaji = romanize(foreign_name.name)
|
|
add(roomaji, u'Roomaji', u'jp')
|
|
|
|
writer.commit()
|
|
|
|
# Construct and populate a spell-checker index. Quicker to do it all
|
|
# at once, as every call to add_* does a commit(), and those seem to be
|
|
# expensive
|
|
self.speller = whoosh.spelling.SpellChecker(self.index.storage, mingram=2,
|
|
**self.SPELLER_OPTIONS)
|
|
self.speller.add_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)
|
|
)
|
|
|
|
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
|
|
|
|
if not combined_valid_types:
|
|
# No restrictions
|
|
return name, [], None
|
|
|
|
# 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.
|
|
"""
|
|
# Table object
|
|
if hasattr(name, '__tablename__'):
|
|
return getattr(name, '__tablename__')
|
|
|
|
# Table name
|
|
for table in self.indexed_tables.values():
|
|
if name in (table.__tablename__, table.__singlename__):
|
|
return table.__tablename__
|
|
|
|
# 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
|
|
try:
|
|
# Let Python try to convert to a number, so 0xff works
|
|
name_as_number = int(name, base=0)
|
|
except ValueError:
|
|
# Oh well
|
|
name_as_number = None
|
|
|
|
if '*' in name or '?' in name:
|
|
exact_only = True
|
|
query = whoosh.query.Wildcard(u'name', name)
|
|
elif name_as_number is not None:
|
|
# Don't spell-check numbers!
|
|
exact_only = True
|
|
query = whoosh.query.Term(u'row_id', unicode(name_as_number))
|
|
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 = []
|
|
|
|
fuzzy_query_parts = []
|
|
fuzzy_weights = {}
|
|
min_weight = [None]
|
|
for suggestion, _, weight in self.speller.suggestions_and_scores(name):
|
|
# Only allow the top 50% of scores; otherwise there will always
|
|
# be a lot of trailing junk
|
|
if min_weight[0] is None:
|
|
min_weight[0] = weight * 0.5
|
|
elif weight < min_weight[0]:
|
|
break
|
|
|
|
fuzzy_query_parts.append(whoosh.query.Term('name', suggestion))
|
|
fuzzy_weights[suggestion] = weight
|
|
|
|
if not fuzzy_query_parts:
|
|
# Nothing at all; don't try querying
|
|
return []
|
|
|
|
fuzzy_query = whoosh.query.Or(fuzzy_query_parts)
|
|
if type_term:
|
|
fuzzy_query = fuzzy_query & type_term
|
|
|
|
searcher.weighting = LanguageWeighting(extra_weights=fuzzy_weights)
|
|
results = searcher.search(fuzzy_query)
|
|
|
|
### Convert results to db objects
|
|
objects = self._whoosh_records_to_results(results, exact=exact)
|
|
|
|
# Only return up to 10 matches; beyond that, something is wrong. We
|
|
# strip out duplicate entries above, so it's remotely possible that we
|
|
# should have more than 10 here and lost a few. The speller returns 25
|
|
# to give us some padding, and should avoid that problem. Not a big
|
|
# deal if we lose the 25th-most-likely match anyway.
|
|
return objects[:self.MAX_LOOKUP_RESULTS]
|
|
|
|
|
|
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)
|