def consultByGenre(catalog, lstgenre):
delta_time = -1.0
delta_memory = -1.0
tracemalloc.start()
start_time = getTime()
start_memory = getMemory()
for genre in lstgenre:
range = model.getGenreRange(catalog, genre)
reprod = model.reprodByCharactRange(catalog, 'tempo',
(range[0], range[1]))
unicartist = model.unicTrackorArtist(catalog, reprod[0], 'artist_id')
lstresult = model.selectResults(unicartist[0], 5, False)
print('\nFor ' + genre.capitalize(), ' the tempo is between ',
range[0], ' and ', range[1], ' BPM\n' + genre.capitalize(),
' reproductions: ', reprod[1], ' with ', unicartist[1],
' different artists\n\n',
'----- Some artists for ' + genre.capitalize() + ' -----')
for value in lt.iterator(lstresult):
print(value)
stop_memory = getMemory()
stop_time = getTime()
tracemalloc.stop()
delta_time = stop_time - start_time
delta_memory = deltaMemory(start_memory, stop_memory)
return (delta_time, delta_memory)
def reprodByCharactRange(catalog, characteristics, range):
delta_time = -1.0
delta_memory = -1.0
tracemalloc.start()
start_time = getTime()
start_memory = getMemory()
reprod = model.reprodByCharactRange(catalog, characteristics, range)
result = model.unicTrackorArtist(catalog, reprod[0], 'artist_id')
stop_memory = getMemory()
stop_time = getTime()
tracemalloc.stop()
delta_time = stop_time - start_time
delta_memory = deltaMemory(start_memory, stop_memory)
return ((reprod[1], result[1]), (delta_time, delta_memory))
def totalReprodByGenre(catalog, lstgenre):
delta_time = -1.0
delta_memory = -1.0
tracemalloc.start()
start_time = getTime()
start_memory = getMemory()
reprod = 0
for genre in lstgenre:
range = model.getGenreRange(catalog, genre)
reprod += model.reprodByCharactRange(catalog, 'tempo',
(range[0], range[1]))[1]
stop_memory = getMemory()
stop_time = getTime()
tracemalloc.stop()
delta_time = stop_time - start_time
delta_memory = deltaMemory(start_memory, stop_memory)
return (reprod, (delta_time, delta_memory))
def songByTwoCharactRange(catalog, characteristics, range1, range2):
delta_time = -1.0
delta_memory = -1.0
tracemalloc.start()
start_time = getTime()
start_memory = getMemory()
reprod = model.reprodByCharactRange(catalog, characteristics[0], range1)
reprod = model.reprodByCharactRangeLst(reprod[0], characteristics[1],
range2)
unictrack = model.unicTrackorArtist(catalog, reprod[0], 'track_id')
result = model.selectResults(unictrack[0], 5, characteristics)
stop_memory = getMemory()
stop_time = getTime()
tracemalloc.stop()
delta_time = stop_time - start_time
delta_memory = deltaMemory(start_memory, stop_memory)
return ((unictrack[1], result), (delta_time, delta_memory))
def reprodGenreByTime(catalog, characteristics, range1):
delta_time = -1.0
delta_memory = -1.0
tracemalloc.start()
start_time = getTime()
start_memory = getMemory()
reprod = model.reprodByCharactRange(catalog, characteristics, range1)
reprod = model.reprodGenreByTime(catalog, reprod[0])
unictrack = model.unicTrackorArtist(catalog, reprod[1], 'track_id')
model.addHashtagProm(catalog, unictrack[0])
lstreprodsort = model.mergeSortVideos(unictrack[0], lt.size(unictrack[0]),
'hashtag')[0]
lstvalues = model.selectResults(lstreprodsort, 10, True)
stop_memory = getMemory()
stop_time = getTime()
tracemalloc.stop()
delta_time = stop_time - start_time
delta_memory = deltaMemory(start_memory, stop_memory)
return (((reprod[0], lstvalues), unictrack[1]), (delta_time, delta_memory))