<s> from dejavu . database import get_database , Database <EOL> import dejavu . decoder as decoder <EOL> import fingerprint <EOL> import multiprocessing <EOL> import os <EOL> import traceback <EOL> import sys <EOL> class Dejavu ( object ) : <EOL> SONG_ID = "<STR_LIT>" <EOL> SONG_NAME = '<STR_LIT>' <EOL> CONFIDENCE = '<STR_LIT>' <EOL> MATCH_TIME = '<STR_LIT>' <EOL> OFFSET = '<STR_LIT>' <EOL> OFFSET_SECS = '<STR_LIT>' <EOL> def __init__ ( self , config ) : <EOL> super ( Dejavu , self ) . __init__ ( ) <EOL> self . config = config <EOL> db_cls = get_database ( config . get ( "<STR_LIT>" , None ) ) <EOL> self . db = db_cls ( ** config . get ( "<STR_LIT>" , { } ) ) <EOL> self . db . setup ( ) <EOL> self . limit = self . config . get ( "<STR_LIT>" , None ) <EOL> if self . limit == - <NUM_LIT:1> : <EOL> self . limit = None <EOL> self . get_fingerprinted_songs ( ) <EOL> def get_fingerprinted_songs ( self ) : <EOL> self . songs = self . db . get_songs ( ) <EOL> self . songhashes_set = set ( ) <EOL> for song in self . songs : <EOL> song_hash = song [ Database . FIELD_FILE_SHA1 ] <EOL> self . songhashes_set . add ( song_hash ) <EOL> def fingerprint_directory ( self , path , extensions , nprocesses = None ) : <EOL> try : <EOL> nprocesses = nprocesses or multiprocessing . cpu_count ( ) <EOL> except NotImplementedError : <EOL> nprocesses = <NUM_LIT:1> <EOL> else : <EOL> nprocesses = <NUM_LIT:1> if nprocesses <= <NUM_LIT:0> else nprocesses <EOL> pool = multiprocessing . Pool ( nprocesses ) <EOL> filenames_to_fingerprint = [ ] <EOL> for filename , _ in decoder . find_files ( path , extensions ) : <EOL> if decoder . unique_hash ( filename ) in self . songhashes_set : <EOL> print "<STR_LIT>" % filename <EOL> continue <EOL> filenames_to_fingerprint . append ( filename ) <EOL> worker_input = zip ( filenames_to_fingerprint , <EOL> [ self . limit ] * len ( filenames_to_fingerprint ) ) <EOL> iterator = pool . imap_unordered ( _fingerprint_worker , <EOL> worker_input ) <EOL> while True : <EOL> try : <EOL> song_name , hashes , file_hash = iterator . next ( ) <EOL> except multiprocessing . TimeoutError : <EOL> continue <EOL> except StopIteration : <EOL> break <EOL> except : <EOL> print ( "<STR_LIT>" ) <EOL> traceback . print_exc ( file = sys . stdout ) <EOL> else : <EOL> sid = self . db . insert_song ( song_name , file_hash ) <EOL> self . db . insert_hashes ( sid , hashes ) <EOL> self . db . set_song_fingerprinted ( sid ) <EOL> self . get_fingerprinted_songs ( ) <EOL> pool . close ( ) <EOL> pool . join ( ) <EOL> def fingerprint_file ( self , filepath , song_name = None ) : <EOL> songname = decoder . path_to_songname ( filepath ) <EOL> song_hash = decoder . unique_hash ( filepath ) <EOL> song_name = song_name or songname <EOL> if song_hash in self . songhashes_set : <EOL> print "<STR_LIT>" % song_name <EOL> else : <EOL> song_name , hashes , file_hash = _fingerprint_worker ( <EOL> filepath , <EOL> self . limit , <EOL> song_name = song_name <EOL> ) <EOL> sid = self . db . insert_song ( song_name , file_hash ) <EOL> self . db . insert_hashes ( sid , hashes ) <EOL> self . db . set_song_fingerprinted ( sid ) <EOL> self . get_fingerprinted_songs ( ) <EOL> def find_matches ( self , samples , Fs = fingerprint . DEFAULT_FS ) : <EOL> hashes = fingerprint . fingerprint ( samples , Fs = Fs ) <EOL> return self . db . return_matches ( hashes ) <EOL> def align_matches ( self , matches ) : <EOL> """<STR_LIT>""" <EOL> diff_counter = { } <EOL> largest = <NUM_LIT:0> <EOL> largest_count = <NUM_LIT:0> <EOL> song_id = - <NUM_LIT:1> <EOL> for tup in matches : <EOL> sid , diff = tup <EOL> if diff not in diff_counter : <EOL> diff_counter [ diff ] = { } <EOL> if sid not in diff_counter [ diff ] : <EOL> diff_counter [ diff ] [ sid ] = <NUM_LIT:0> <EOL> diff_counter [ diff ] [ sid ] += <NUM_LIT:1> <EOL> if diff_counter [ diff ] [ sid ] > largest_count : <EOL> largest = diff <EOL> largest_count = diff_counter [ diff ] [ sid ] <EOL> song_id = sid <EOL> song = self . db . get_song_by_id ( song_id ) <EOL> if song : <EOL> songname = song . get ( Dejavu . SONG_NAME , None ) <EOL> else : <EOL> return None <EOL> nseconds = round ( float ( largest ) / fingerprint . DEFAULT_FS * <EOL> fingerprint . DEFAULT_WINDOW_SIZE * <EOL> fingerprint . DEFAULT_OVERLAP_RATIO , <NUM_LIT:5> ) <EOL> song = { <EOL> Dejavu . SONG_ID : song_id , <EOL> Dejavu . SONG_NAME : songname , <EOL> Dejavu . CONFIDENCE : largest_count , <EOL> Dejavu . OFFSET : int ( largest ) , <EOL> Dejavu . OFFSET_SECS : nseconds , <EOL> Database . FIELD_FILE_SHA1 : song . get ( Database . FIELD_FILE_SHA1 , None ) , } <EOL> return song <EOL> def recognize ( self , recognizer , * options , ** kwoptions ) : <EOL> r = recognizer ( self ) <EOL> return r . recognize ( * options , ** kwoptions ) <EOL> def _fingerprint_worker ( filename , limit = None , song_name = None ) : <EOL> try : <EOL> filename , limit = filename <EOL> except ValueError : <EOL> pass <EOL> songname , extension = os . path . splitext ( os . path . basename ( filename ) ) <EOL> song_name = song_name or songname <EOL> channels , Fs , file_hash = decoder . read ( filename , limit ) <EOL> result = set ( ) <EOL> channel_amount = len ( channels ) <EOL> for channeln , channel in enumerate ( channels ) : <EOL> print ( "<STR_LIT>" % ( channeln + <NUM_LIT:1> , <EOL> channel_amount , <EOL> filename ) ) <EOL> hashes = fingerprint . fingerprint ( channel , Fs = Fs ) <EOL> print ( "<STR_LIT>" % ( channeln + <NUM_LIT:1> , channel_amount , <EOL> filename ) ) <EOL> result |= set ( hashes ) <EOL> return song_name , result , file_hash <EOL> def chunkify ( lst , n ) : <EOL> """<STR_LIT>""" <EOL> return [ lst [ i : : n ] for i in xrange ( n ) ] </s>
