tables.Item,
tables.Location,
tables.Move,
+ tables.Nature,
tables.Pokemon,
tables.Type,
)
# 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)
+ q = self.session.query(cls)
for row in q.yield_per(5):
row_key = dict(table=unicode(cls.__tablename__),
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__')
- 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
+
+ # 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
exact = True
form = None
- # Remove any type prefix (pokemon:133) before constructing a query
- if ':' in name:
- prefix_chunk, name = name.split(':', 1)
- name = name.strip()
-
- 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]
+ # 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=valid_types)
+ 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 rx_is_number.match(name):
+ elif name_as_number is not None:
# Don't spell-check numbers!
exact_only = True
- query = whoosh.query.Term(u'row_id', name)
+ query = whoosh.query.Term(u'row_id', unicode(name_as_number))
else:
# Not an integer
query = whoosh.query.Term(u'name', name)
- ### 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)
+ if type_term:
+ query = query & type_term
### Actual searching
return self.lookup(unicode(n), valid_types=[ partitions[0][0] ])
- def prefix_lookup(self, prefix):
+ def prefix_lookup(self, prefix, valid_types=[]):
"""Returns terms starting with the given exact prefix.
- No special magic is currently done with the name; type prefixes are not
- recognized.
+ 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)