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#!/usr/bin/python3
import os
import os.path
import sqlite3
from argparse import ArgumentParser
import utils
from myconfig import MyConfig
from dirwalk import walkIndexFast
INSERT_NGRAM_DML = '''
INSERT INTO ngram(words, freq) VALUES(?, 1);
'''
UPDATE_NGRAM_DML = '''
UPDATE ngram SET freq = freq + 1 WHERE words = ?;
'''
config = MyConfig()
#maximum combine number
N = config.getMaximumCombineNumber()
#change cwd to the word recognizer directory
words_dir = config.getWordRecognizerDir()
os.chdir(words_dir)
#chdir done
def handleOneDocument(infile, conn, length):
print(infile, length)
infilestatuspath = infile + config.getStatusPostfix()
infilestatus = utils.load_status(infilestatuspath)
if not utils.check_epoch(infilestatus, 'Segment'):
raise utils.EpochError('Please segment first.\n')
if utils.check_epoch(infilestatus, 'Populate'):
return False
sep = config.getWordSep()
#train
docfile = open(infile + config.getSegmentPostfix(), 'r')
words = []
cur = conn.cursor()
for oneline in docfile.readlines():
oneline = oneline.rstrip(os.linesep)
if len(oneline) == 0:
continue
(token, word) = oneline.split(" ", 1)
token = int(token)
if 0 == token:
words = []
else:
words.append(word)
if len(words) < length:
continue
if len(words) > length:
words.pop(0)
assert len(words) == length
#do sqlite training
words_str = sep + sep.join(words) + sep
#print(words_str)
rowcount = cur.execute(UPDATE_NGRAM_DML, (words_str,)).rowcount
#print(rowcount)
if 0 == rowcount:
cur.execute(INSERT_NGRAM_DML, (words_str,))
docfile.close()
#sign epoch only after last pass
if N == length:
utils.sign_epoch(infilestatus, 'Populate')
utils.store_status(infilestatuspath, infilestatus)
return True
def handleOnePass(indexpath, workdir, length):
print(indexpath, workdir, length)
filename = config.getNgramFileName(length)
filepath = workdir + os.sep + filename
conn = sqlite3.connect(filepath)
#begin processing
indexfile = open(indexpath, 'r')
for oneline in indexfile.readlines():
oneline = oneline.rstrip(os.linesep)
(title, textpath) = oneline.split('#')
infile = config.getTextDir() + textpath
infilesize = utils.get_file_length(infile + config.getSegmentPostfix())
if infilesize < config.getMinimumFileSize():
print("Skipping " + title + '#' + textpath)
continue
#process one document
handleOneDocument(infile, conn, length)
indexfile.close()
conn.commit()
if conn:
conn.close()
def handleOneIndex(indexpath, subdir, indexname, fast):
print(indexpath, subdir, indexname)
indexstatuspath = indexpath + config.getStatusPostfix()
indexstatus = utils.load_status(indexstatuspath)
if not utils.check_epoch(indexstatus, 'Prepare'):
raise utils.EpochError('Please prepare first.\n')
if utils.check_epoch(indexstatus, 'Populate'):
return
workdir = config.getWordRecognizerDir() + os.sep + \
subdir + os.sep + indexname
print(workdir)
shmdir = config.getInMemoryFileSystem()
for i in range(1, N + 1):
if fast:
#copy file
filename = config.getNgramFileName(i)
filepath = workdir + os.sep + filename
shmfilepath = shmdir + os.sep + filename
utils.copyfile(filepath, shmfilepath)
handleOnePass(indexpath, shmdir, i)
utils.copyfile(shmfilepath, filepath)
os.unlink(shmfilepath)
else:
handleOnePass(indexpath, workdir, i)
#sign epoch
utils.sign_epoch(indexstatus, 'Populate')
utils.store_status(indexstatuspath, indexstatus)
if __name__ == '__main__':
parser = ArgumentParser(description='Populate n-gram.')
parser.add_argument('--indexdir', action='store', \
help='index directory', \
default=os.path.join(config.getTextDir(), 'index'))
parser.add_argument('--fast', action='store_const', \
help='Use /dev/shm to speed up populate', \
const=True, default=False)
args = parser.parse_args()
print(args)
walkIndexFast(handleOneIndex, args.indexdir, args.fast)
print('done')
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