github/dejavu
1
0
Fork 0
mirror of https://github.com/correl/dejavu.git synced 2024-12-27 11:07:37 +00:00
Code Issues Projects Releases Packages Wiki Activity

change to print song_name and file_sha1 with 'utf8' encoding correctly

Browse source
This commit is contained in:
Tyrone-Zhao 2018-09-22 15:32:11 +08:00
parent b52b8ef7bd
commit bfe0003551
4 changed files with 7 additions and 5 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

3
dejavu.py
View file

@ -88,6 +88,7 @@ if __name__ == '__main__':
song = djv.recognize(MicrophoneRecognizer, seconds=opt_arg)
elif source == 'file':
song = djv.recognize(FileRecognizer, opt_arg)
print(song)
decoded_song = repr(song).decode('string_escape')
print(decoded_song)
sys.exit(0)

4
dejavu/__init__.py
View file

@ -155,11 +155,11 @@ class Dejavu(object):
fingerprint.DEFAULT_OVERLAP_RATIO, 5)
song = {
Dejavu.SONG_ID : song_id,
Dejavu.SONG_NAME : songname,
Dejavu.SONG_NAME : songname.encode("utf8"),
Dejavu.CONFIDENCE : largest_count,
Dejavu.OFFSET : int(largest),
Dejavu.OFFSET_SECS : nseconds,
Database.FIELD_FILE_SHA1 : song.get(Database.FIELD_FILE_SHA1, None),}
Database.FIELD_FILE_SHA1 : song.get(Database.FIELD_FILE_SHA1, None).encode("utf8"),}
return song
def recognize(self, recognizer, *options, **kwoptions):

4
dejavu/database_sql.py
View file

@ -214,7 +214,7 @@ class SQLDatabase(Database):
"""
Return songs that have the fingerprinted flag set TRUE (1).
"""
with self.cursor(cursor_type=DictCursor) as cur:
with self.cursor(cursor_type=DictCursor, charset="utf8") as cur:
cur.execute(self.SELECT_SONGS)
for row in cur:
yield row
@ -223,7 +223,7 @@ class SQLDatabase(Database):
"""
Returns song by its ID.
"""
with self.cursor(cursor_type=DictCursor) as cur:
with self.cursor(cursor_type=DictCursor, charset="utf8") as cur:
cur.execute(self.SELECT_SONG, (sid,))
return cur.fetchone()

1
dejavu/recognize.py
View file

@ -1,3 +1,4 @@
# encoding: utf-8
import dejavu.fingerprint as fingerprint
import dejavu.decoder as decoder
import numpy as np