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Totally overhauled lookup to use a class.

Browse source 
Now state is held within an object, rather than passed back to the
caller who must then pass it in again.  That was retarded and I don't
know why I ever did it.

Code is much cleaner now.

With apologies to anyone running annotate.
This commit is contained in:
Eevee 2010-03-21 23:27:47 -07:00
parent f9c17584f3
commit d6fd697018
2 changed files with 359 additions and 373 deletions
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4
pokedex/__init__.py
View file

@ -54,11 +54,11 @@ def command_load(*args):
def command_setup(*args):
session = connect()
pokedex.db.load.load(session, verbose=False, drop_tables=True)
pokedex.lookup.open_index(session=session, recreate=True)
pokedex.lookup.PokedexLookup(session=session, recreate=True)
def command_lookup(name):
results = pokedex.lookup.lookup(name)
results = pokedex.lookup.PokedexLookup().lookup(name)
if not results:
print "No matches."
elif results[0].exact:

728
pokedex/lookup.py
View file

@ -20,169 +20,13 @@ from pokedex.db import connect
import pokedex.db.tables as tables
from pokedex.roomaji import romanize
__all__ = ['open_index', 'lookup', 'random_lookup']
INTERMEDIATE_LOOKUP_RESULTS = 25
MAX_LOOKUP_RESULTS = 10
# 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 normalize(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
__all__ = ['PokedexLookup']
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
# 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
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')
def add(name, language, iso3166, score):
normalized_name = normalize(name)
writer.add_document(name=normalized_name, display_name=name,
language=language,
iso3166=iso3166,
**row_key)
speller_entries.append((normalized_name, score))
# 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
add(name, None, u'us', 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
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
speller = whoosh.spelling.SpellChecker(index.storage)
speller.add_scored_words(speller_entries)
return index, speller
rx_is_number = re.compile('^\d+$')
LookupResult = namedtuple('LookupResult',
['object', 'name', 'language', 'iso3166', 'exact'])
class LanguageWeighting(whoosh.scoring.Weighting):
"""A scoring class that forces otherwise-equal English results to come
@ -195,261 +39,403 @@ class LanguageWeighting(whoosh.scoring.Weighting):
# English (well, "default"); leave it at 1
return weight
elif doc['language'] == u'Roomaji':
# Give Roomaji a bit of a boost, as it's most likely to be searched
# Give Roomaji a little boost; it's most likely to be searched
return weight * 0.95
else:
# Everything else can drop down the totem pole
return weight * 0.9
rx_is_number = re.compile('^\d+$')
LookupResult = namedtuple('LookupResult',
['object', 'name', 'language', 'iso3166', 'exact'])
class PokedexLookup(object):
INTERMEDIATE_LOOKUP_RESULTS = 25
MAX_LOOKUP_RESULTS = 10
def _parse_table_name(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 indexed_tables:
return name
elif name + 's' in indexed_tables:
return name + 's'
else:
# Bogus. Be nice and return dummy
return None
def _whoosh_records_to_results(records, session, 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 = indexed_tables[record['table']]
obj = session.query(cls).get(record['row_id'])
results.append(LookupResult(object=obj,
name=record['display_name'],
language=record['language'],
iso3166=record['iso3166'],
exact=exact))
return results
# 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.Move,
tables.Pokemon,
tables.Type,
)
)
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.
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.
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.
`directory`
Directory containing the index. Defaults to a location within the
`pokedex` egg directory.
This function currently ONLY does fuzzy matching if there are no exact
matches.
`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`.
Formes are not returned unless requested; "Shaymin" will return only grass
Shaymin.
`recreate`
If set to True, the whoosh index will be created even if it already
exists.
"""
Extraneous whitespace is removed with extreme prejudice.
# By the time this returns, self.index, self.speller, and self.session
# must be set
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".
# Defaults
if not directory:
directory = pkg_resources.resource_filename('pokedex',
'data/whoosh-index')
`input`
Name of the thing to look for.
if session:
self.session = session
else:
self.session = connect()
`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.
# 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
`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.
# 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
`indices`
Tuple of index, speller as returned from `open_index()`. Defaults to
a call to `open_index()`.
if not directory_exists:
os.mkdir(directory)
`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()
### 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
forme_name=whoosh.fields.ID,
)
if indices:
index, speller = indices
else:
index, speller = open_index()
self.index = whoosh.index.create_in(directory, schema=schema,
indexname='MAIN')
writer = self.index.writer()
name = normalize(input)
exact = True
form = None
# 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 = session.query(cls)
for row in q.yield_per(5):
# 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'__empty__')
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))
# 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
add(name, None, u'us', 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
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)
# Remove any type prefix (pokemon:133) before constructing a query
if ':' in name:
prefix_chunk, name = name.split(':', 1)
name = name.strip()
name = name.lower()
if not valid_types:
# Only use types from the query string if none were explicitly
# provided
prefixes = prefix_chunk.split(',')
valid_types = [_.strip() for _ in prefixes]
# Random lookup
if name == 'random':
return random_lookup(indices=(index, speller),
session=session,
valid_types=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) \
& 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(' ', 1)
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:
table_name = _parse_table_name(valid_type)
if table_name:
# Quietly ignore bogus valid_types; more likely to DTRT
type_terms.append(whoosh.query.Term(u'table', table_name))
if type_terms:
query = query & whoosh.query.Or(type_terms)
return name
### 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, limit=INTERMEDIATE_LOOKUP_RESULTS)
def _parse_table_name(self, name):
"""Takes a singular table name, table name, or table object and returns
the table name.
# Look for some fuzzy matches if necessary
if not exact_only and not results:
exact = False
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
for suggestion in speller.suggest(name, INTERMEDIATE_LOOKUP_RESULTS):
query = whoosh.query.Term('name', suggestion)
results.extend(searcher.search(query))
cls = self.indexed_tables[record['table']]
obj = self.session.query(cls).get(record['row_id'])
### Convert results to db objects
objects = _whoosh_records_to_results(results, session, exact=exact)
results.append(LookupResult(object=obj,
name=record['display_name'],
language=record['language'],
iso3166=record['iso3166'],
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[:MAX_LOOKUP_RESULTS]
return results
def random_lookup(valid_types=[], session=None, indices=None):
"""Takes similar arguments as `lookup()`, but returns a random lookup
result from one of the provided `valid_types`.
"""
def lookup(self, input, valid_types=[], exact_only=False):
"""Attempts to find some sort of object, given a name.
tables = []
for valid_type in valid_types:
table_name = _parse_table_name(valid_type)
if table_name:
tables.append(indexed_tables[table_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.
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 = indexed_tables.values()
This function currently ONLY does fuzzy matching if there are no exact
matches.
# 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 = session.query(table).count()
total += count
partitions.append((table, count))
Formes are not returned unless requested; "Shaymin" will return only
grass Shaymin.
n = random.randint(1, total)
while n > partitions[0][1]:
n -= partitions[0][1]
partitions.pop(0)
Extraneous whitespace is removed with extreme prejudice.
return lookup(unicode(n), valid_types=[ partitions[0][0] ],
indices=indices, session=session)
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".
def prefix_lookup(prefix, session=None, indices=None):
"""Returns terms starting with the given exact prefix.
`input`
Name of the thing to look for.
No special magic is currently done with the name; type prefixes are not
recognized.
`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` and `indices` are treated as with `lookup()`.
"""
`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()
name = self.normalize_name(input)
exact = True
form = None
if indices:
index, speller = indices
else:
index, speller = open_index()
# Remove any type prefix (pokemon:133) before constructing a query
if ':' in name:
prefix_chunk, name = name.split(':', 1)
name = name.strip()
query = whoosh.query.Prefix(u'name', normalize(prefix))
if not valid_types:
# Only use types from the query string if none were explicitly
# provided
prefixes = prefix_chunk.split(',')
valid_types = [_.strip() for _ in prefixes]
searcher = index.searcher()
searcher.weighting = LanguageWeighting()
results = searcher.search(query) # XXX , limit=MAX_LOOKUP_RESULTS)
# Random lookup
if name == 'random':
return self.random_lookup(valid_types=valid_types)
return _whoosh_records_to_results(results, session)
# 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) \
& whoosh.query.Term(u'forme_name', u'__empty__')
# If there's a space in the input, this might be a form
if ' ' in name:
form, formless_name = name.split(' ', 1)
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:
table_name = self._parse_table_name(valid_type)
if table_name:
# Quietly ignore bogus valid_types; more likely to DTRT
type_terms.append(whoosh.query.Term(u'table', table_name))
if type_terms:
query = query & whoosh.query.Or(type_terms)
### 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 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 = 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):
"""Returns terms starting with the given exact prefix.
No special magic is currently done with the name; type prefixes are not
recognized.
"""
query = whoosh.query.Prefix(u'name', self.normalize_name(prefix))
searcher = self.index.searcher()
searcher.weighting = LanguageWeighting()
results = searcher.search(query) # XXX , limit=self.MAX_LOOKUP_RESULTS)
return self._whoosh_records_to_results(results)