Начало разработки логики обработки слов.

This commit is contained in:
Jack Stdin
2016-01-16 15:53:13 +03:00
parent 327a1c994e
commit 6c09dd2cdb
9 changed files with 104 additions and 49 deletions

View File

@@ -8,6 +8,7 @@ import sphinxapi
from aore.config import db as dbparams
from aore.dbutils.dbimpl import DBImpl
from aore.fias.word import WordEntry
from aore.miscutils.trigram import trigram
@@ -30,44 +31,6 @@ class SphinxSearch:
else:
self.client.SetMatchMode(sphinxapi.MA)
# Types =
class SRankType:
names = dict(
SRANK_EXACTLY_MISSPRINT=['00'], # Точно - опечатка, нужно много подсказок, без word*
SRANK_EXACTLY_TYPING=['01', '11'], # Точно - слово недопечатано, не надо подсказок, только word*
SRANK_PROBABLY_TYPING=['0*'], # Возможно - слово недопечатано, немного подсказок и word*
SRANK_PROBABLY_FOUND=['10'], # Возможно - слово введено точно, немного подсказок, без word*
SRANK_PROBABLY_COMPLEX=['1*'],
# Возможно, слово сложное, есть и точное совпадние, по маске Нужно немного подсказок и word*
SRANK_PROBABLY_SOCR=['1!'] # Возможно - сокращение, не трогаем вообще
)
def __init__(self, rtype):
self.rtype = rtype
for x, y in self.names.iteritems():
self.__dict__[x] = self.rtype in y
def __str__(self):
return ", ".join([x for x in self.names if self.__dict__[x]])
def __get_strong_and_uncomplete_ranks(self, word):
word_len = len(word)
sql_qry = "SELECT COUNT(*) FROM \"AOTRIG\" WHERE word LIKE '{}%' AND LENGTH(word) > {} " \
"UNION ALL SELECT COUNT(*) FROM \"AOTRIG\" WHERE word='{}'".format(
word, word_len, word)
result = self.db.get_rows(sql_qry)
strong_rank = result[1][0]
uncomplete_rank = result[0][0]
if uncomplete_rank > 1000 and word_len < 4:
uncomplete_rank = '!'
else:
if uncomplete_rank > 1:
uncomplete_rank = '*'
return self.SRankType(str(strong_rank) + str(uncomplete_rank))
def __get_suggest(self, word):
word_len = str(len(word) / 2)
trigrammed_word = '"{}"/1'.format(trigram(word))
@@ -95,13 +58,15 @@ class SphinxSearch:
phrase = unicode(phrase).replace('-', '').replace('@', '').lower()
return re.split(r"[ ,:.]+", phrase)
def __process_word(self, word):
print word, self.__get_strong_and_uncomplete_ranks(word)
def __process_words(self, words):
for word in words:
yield WordEntry(self.db, word)
def find(self, text):
words = self.__split_phrase(text)
for word in words:
self.__process_word(word)
word_entries = self.__process_words(words)
for word_entry in word_entries:
print word_entry, word_entry.get_type()
# result = self.client.Query(text)
# print json.dumps(result)
# logging.info("12")