def test_drums_simple(out="out.mid", bpm=120, beats_per_bar=5):
mt = MIDITime(bpm, out)
start = 0
end = 120
drums = []
d = 1
v = 127
for t in range(start, end):
step = t % beats_per_bar
if step == 0:
n = BassDrum1
drums.append([[t, n, v, d], CHANNEL_DRUMS])
elif step == 2:
n = AcousticSnare
drums.append([[t, n, v, d], CHANNEL_DRUMS])
elif step == 3:
n = ClosedHiHat
drums.append([[t, n, v, d], CHANNEL_DRUMS])
elif step == 4:
n = BassDrum1
drums.append([[t, n, v, d], CHANNEL_DRUMS])
mt.add_track(drums)
save_midi(mt)
class Music:
def parser(self, args):
self.filename = args.filename + '.mid'
self.repeats = args.repeats
self.long = 10 + args.long * 10
self.tempo = 72 + args.speed * 12
self.pitch_max = 68 + args.speed * 4
self.pitch_min = 33 + args.speed * 4
self.duration_max = 2.7 - args.speed * 0.3
self.duration_min = 1.8 - args.speed * 0.2
self.mymidi = MIDITime(self.tempo, self.filename)
self.midinotes = []
def rand(self):
for i in range(0, self.long):
self.midinotes.append([
i * 0.53,
randint(self.pitch_min, self.pitch_max),
randint(70, 130),
random.uniform(self.duration_min, self.duration_max)
])
j = 0
for j in range(1, self.repeats):
for i in range(0, self.long):
self.midinotes.append([
j * self.long * 0.53 + i * 0.53, self.midinotes[i][1],
self.midinotes[i][2], self.midinotes[i][3]
])
self.mymidi.add_track(self.midinotes)
def saveAndLaunch(self):
self.mymidi.save_midi()
os.startfile(self.filename)
def test_sequencer_simple(out="out.mid", bpm=120, beats_per_bar=5):
mt = MIDITime(bpm, out)
seq = Sequencer(beats_per_bar=beats_per_bar, perturb_velocity_cap=20)
start = 0
end = 120
pi = [BassDrum1, S, AcousticSnare, ClosedHiHat, BassDrum1]
pv = [H, 0, M, M, H]
pd = [1, 1, 1, 1, 1]
pattern = Pattern("drum", 1, pi, pv, pd, repeatable=True)
seq.time = start
seq.channel = CHANNEL_DRUMS
if not seq.compatible(pattern):
print("Pattern incompatible")
return
while seq.time < end:
if not seq.append(pattern):
print("Couldn't append")
# print(seq.notes())
mt.add_track(seq.notes)
save_midi(mt)
def csv_to_miditime(self):
raw_data = list(self.read_csv('data/bombs.csv'))
filtered_data = self.remove_weeks(raw_data)
self.mymidi = MIDITime(self.tempo, 'bombtest_log.mid',
self.seconds_per_year, self.base_octave,
self.octave_range, self.epoch)
self.minimum = self.mymidi.get_data_range(filtered_data, 'Yieldnum')[0]
self.maximum = self.mymidi.get_data_range(filtered_data, 'Yieldnum')[1]
timed_data = []
for r in filtered_data:
python_date = datetime.strptime(r["Date"], "%m/%d/%Y")
days_since_epoch = self.mymidi.days_since_epoch(python_date)
beat = self.mymidi.beat(days_since_epoch)
timed_data.append({
'days_since_epoch': days_since_epoch,
'beat': beat,
'BombYieldMillions': float(r['Yieldnum'])
})
note_list = self.make_notes(timed_data, 'BombYieldMillions')
# Add a track with those notes
self.mymidi.add_track(note_list)
# Output the .mid file
self.mymidi.save_midi()
def just_jaws(self, outfile): # Just play the whole song
mymidi = MIDITime(self.tempo, outfile, self.seconds_per_year, self.base_octave, self.octave_range, self.epoch)
note_list = self.bigger_boat(0, 70, mymidi, 3)
# Add a track with those notes
mymidi.add_track(note_list)
# Output the .mid file
mymidi.save_midi()
def csv_to_miditime(self):
# raw_data = list(self.read_csv('data/groundwater_test.csv'))
raw_data = list(self.read_csv('data/15S18E30L001M_clean.csv'))
# yearly_data = self.get_yearly_averages(raw_data, 'Date', "%m/%d/%Y", 'wl(m)', 'meters')
yearly_data = self.get_yearly_averages(raw_data, 'Measurement_Date',
"%m-%d-%Y", 'GSWS', 'feet')
self.mymidi = MIDITime(self.tempo, 'media_out/pebble_longterm.mid',
self.seconds_per_year, self.base_octave,
self.octave_range, self.epoch)
self.minimum_depth = self.mymidi.get_data_range(
yearly_data, 'median_distance_meters')[0]
self.maximum_depth = self.mymidi.get_data_range(
yearly_data, 'median_distance_meters')[1]
self.minimum_energy = self.energy_on_impact(
self.mass_grams,
self.velocity_on_impact(
self.mymidi.get_data_range(yearly_data,
'median_distance_meters')[0]))
self.maximum_energy = self.energy_on_impact(
self.mass_grams,
self.velocity_on_impact(
self.mymidi.get_data_range(yearly_data,
'median_distance_meters')[1]))
timed_data = []
for r in yearly_data:
# python_date = datetime.strptime(r["Date"], "%Y-%m-%d")
python_date = datetime.strptime('1/1/%s' % r["year"], "%m/%d/%Y")
distance_meters = r['median_distance_meters']
days_since_epoch = self.mymidi.days_since_epoch(python_date)
beat = self.mymidi.beat(days_since_epoch)
timed_data.append({
'days_since_epoch':
days_since_epoch,
'beat':
beat,
'distance_meters':
distance_meters,
'duration_secs':
self.time_to_impact(distance_meters)
})
falling_note_list = self.make_falling_notes(timed_data,
'duration_secs', 0)
splashing_note_list = self.make_splashing_notes(
timed_data, 'duration_secs', 1)
# Add a track with those notes
self.mymidi.add_track(falling_note_list)
self.mymidi.add_track(splashing_note_list)
# Output the .mid file
self.mymidi.save_midi()
def test_hi_ride_sounds(out="out.mid", bpm=180, beats_per_bar=5):
mt = MIDITime(bpm, out)
seq = Sequencer(beats_per_bar=beats_per_bar, perturb_velocity_cap=30)
start = 0
end = 120
pi = [] # length, character, ability to be looped
# drummer - main
pi = []
pi.append(ClosedHiHat) # very short tss, repeat
pi.append(SILENCE)
pi.append(PedalHiHat) # very short tss 2, repeat
pi.append(SILENCE)
pi.append(ClosedHiHat) # very short tss, repeat
pi.append(SILENCE)
pi.append(PedalHiHat) # very short tss 2, repeat
pi.append(OpenHiHat) # long tss, single
pi.append(RideCymbal2) # long, repeat
pi.append(SILENCE)
pi.append(RideCymbal2) # long, repeat
pi.append(SILENCE)
pi.append(RideCymbal2) # long, repeat
pi.append(SILENCE)
pi.append(RideBell) # long bell, repeat
pi.append(CrashCymbal1) # long crash, single
# pi = [val for val in pi for _ in range(0, 4)]
pv = []
pd = []
pattern = Pattern("drums",
int(ceil(len(pi) / beats_per_bar)),
pi,
pv,
pd,
repeatable=True)
seq.channel = CHANNEL_DRUMS
seq.time = start
if not seq.compatible(pattern):
print("Pattern incompatible")
return
while seq.time < end:
if not seq.append(pattern):
print("Couldn't append")
mt.add_track(seq.notes)
save_midi(mt)
def parser(self, args):
self.filename = args.filename + '.mid'
self.repeats = args.repeats
self.long = 10 + args.long * 10
self.tempo = 72 + args.speed * 12
self.pitch_max = 68 + args.speed * 4
self.pitch_min = 33 + args.speed * 4
self.duration_max = 2.7 - args.speed * 0.3
self.duration_min = 1.8 - args.speed * 0.2
self.mymidi = MIDITime(self.tempo, self.filename)
self.midinotes = []
def test_generator(out="out.mid", bpm=120, beats_per_bar=5):
mt = MIDITime(bpm, out)
seq = Sequencer(beats_per_bar=beats_per_bar, perturb_velocity_cap=10)
prng = RandomState(75123481)
start = 0
end = 120
scale = [A, C, D, E, G]
# create the pattern as directions for a walk within a scale
pi = [STAY, -1, UP, -1, UP, DOWN, ROOT_DOWN, -1, -1, NEXT_ROOT]
pv = [H, 0, M, 0, H, H, M, 0, 0, M]
pd = [2, 1, 1, 3, 1, 1, 3, 0, 0, 1]
pattern0 = Pattern("piano1", 2, pi, pv, pd, repeatable=True)
patterns = [
pattern0.walk_from_these_directions(len(scale), prng)
for _ in range(1, 10)
]
patterns = [p for p in patterns if p]
print("available: ", len(patterns))
if not patterns:
print("Couldn't generate any patterns from these directions.")
return
for (i, p) in enumerate(patterns):
print(i, ": ", p.indices)
pattern = patterns[0]
# convert to sounds
walker = ScaleWalker(Scale(ScaleBlueprint(scale), E))
pattern = pattern.sound_pattern_from_this_walk(walker)
seq.time = start
if not seq.compatible(pattern):
print("Pattern incompatible")
return
while seq.time < end:
if not seq.append(pattern):
print("Couldn't append")
print(seq.notes)
mt.add_track(seq.notes)
save_midi(mt)
def csv_to_miditime(self, infile, outfile, octave):
raw_data = list(self.read_csv(infile))
mymidi = MIDITime(self.tempo, outfile, self.seconds_per_year, self.base_octave, self.octave_range, self.epoch)
note_list = []
for r in raw_data:
began_date = datetime.strptime(r["began_date"], "%Y-%m-%d %H:%M:%S+00:00") # 2009-01-15 16:15:00+00:00
ended_date = datetime.strptime(r["ended_date"], "%Y-%m-%d %H:%M:%S+00:00")
began_days_since_epoch = mymidi.days_since_epoch(began_date)
ended_days_since_epoch = mymidi.days_since_epoch(ended_date)
start_beat = mymidi.beat(began_days_since_epoch)
end_beat = mymidi.beat(ended_days_since_epoch)
duration_in_beats = end_beat - start_beat
if duration_in_beats < 3:
duration_in_beats = 3
# print start_beat, duration_in_beats
note_list = note_list + self.bigger_boat(round(start_beat), duration_in_beats, mymidi, octave)
# Add a track with those notes
mymidi.add_track(note_list)
# Output the .mid file
mymidi.save_midi()
def notes_to_midi_file(note_list, filename, tempo=_default_tempo):
"""Creates a midi file from a list of notes."""
midifile = MIDITime(_default_tempo, filename)
time = 0
midi_event_list = []
note_list = flatten(note_list) #flatten the note list
for note in note_list:
midi_event_list.append([time, note, 200, 1])
time += 1
midifile.add_track(midi_event_list)
midifile.save_midi()
class SongGenerator:
def __init__(self, file_name, song_speed, song_mode, tones_range, notes):
self.song = MIDITime(song_speed, file_name) #song
self.song_mode = song_mode #if curvy or slight
self.tones_range = tones_range # (60 - range ... 60 ... 60 + range)
self.notes = notes #list with notes
def generate_song(self):
bit = 0 #start bit counter
notes = [] #cut notes
main_note = 60 #begin with 60 (C0)
prev_note = 0 #previous note (needed to slighty style)
for note in self.notes:
note_details = [] #list to put in main notes list
note_details.append(bit) # at n bit
bit += 1
main_note = self.generate_single_note(self.song_mode, note,
prev_note,
main_note) #generate note
note_details.append(main_note)
prev_note = note #set previous as current
note_details.append(127) #velocity
note_details.append(randint(0, 10)) #duration of note
notes.append(note_details) #add note details do main notes list
print("Notes details:")
self.song.add_track(notes) #add list to song
self.song.save_midi() #save song
print("Song succesfully saved!")
def generate_single_note(self, mode, current_note, prev_note,
main_note): #generate note using a note list
start_note = 60 #begin with c0
if mode == 0: #if curvy then return note parsed to [60 - tones_range ... 60 ... 60 + tones_range]
return current_note % (self.tones_range * 2) + (start_note -
self.tones_range)
else: #if slightly then main note depends on previous note
if (prev_note > current_note > (start_note - self.tones_range)):
return main_note - 1
elif (prev_note < current_note < (start_note + self.tones_range)):
return main_note + 1
return main_note
def csv_to_miditime(self):
self.mymidi = MIDITime(self.tempo, 'coaltest.mid', self.seconds_per_year, self.base_octave, self.octave_range)
raw_data = self.read_csv('data/coal_prod_1984_2016_weeks_summed.csv')
filtered_data = self.remove_weeks(raw_data)
self.minimum = self.mymidi.get_data_range(filtered_data, 'CoalProd')[0] / 1000000.0
self.maximum = self.mymidi.get_data_range(filtered_data, 'CoalProd')[1] / 1000000.0
timed_data = []
# Get the first day in the dataset, so we can use it's day of the week to anchor our other weekly data.
first_day = self.mymidi.map_week_to_day(filtered_data[0]['Year'], filtered_data[0]['Week'])
for r in filtered_data:
# Convert the week to a date in that week
week_start_date = self.mymidi.map_week_to_day(r['Year'], r['Week'], first_day.weekday())
# To get your date into an integer format, convert that date into the number of days since Jan. 1, 1970
days_since_epoch = self.mymidi.days_since_epoch(week_start_date)
# Convert that integer date into a beat
beat = self.mymidi.beat(days_since_epoch)
timed_data.append({
'days_since_epoch': days_since_epoch,
'beat': beat,
'CoalProdMillions': float(r['CoalProd']) / 1000000.0
})
note_list = self.make_notes(timed_data, 'CoalProdMillions')
# Add a track with those notes
self.mymidi.add_track(note_list)
# Output the .mid file
self.mymidi.save_midi()
def csv_to_miditime(self):
raw_data = list(self.read_csv('data/bombs.csv'))
filtered_data = self.remove_weeks(raw_data)
self.mymidi = MIDITime(self.tempo, 'bombtest_log.mid', self.seconds_per_year, self.base_octave, self.octave_range, self.epoch)
self.minimum = self.mymidi.get_data_range(filtered_data, 'Yieldnum')[0]
self.maximum = self.mymidi.get_data_range(filtered_data, 'Yieldnum')[1]
timed_data = []
for r in filtered_data:
python_date = datetime.strptime(r["Date"], "%m/%d/%Y")
days_since_epoch = self.mymidi.days_since_epoch(python_date)
beat = self.mymidi.beat(days_since_epoch)
timed_data.append({
'days_since_epoch': days_since_epoch,
'beat': beat,
'BombYieldMillions': float(r['Yieldnum'])
})
note_list = self.make_notes(timed_data, 'BombYieldMillions')
# Add a track with those notes
self.mymidi.add_track(note_list)
# Output the .mid file
self.mymidi.save_midi()
def csv_to_miditime(self):
self.mymidi = MIDITime(self.tempo, 'coaltest.mid',
self.seconds_per_year, self.base_octave,
self.octave_range)
raw_data = self.read_csv('data/coal_prod_1984_2016_weeks_summed.csv')
filtered_data = self.remove_weeks(raw_data)
self.minimum = self.mymidi.get_data_range(filtered_data,
'CoalProd')[0] / 1000000.0
self.maximum = self.mymidi.get_data_range(filtered_data,
'CoalProd')[1] / 1000000.0
timed_data = []
# Get the first day in the dataset, so we can use it's day of the week to anchor our other weekly data.
first_day = self.mymidi.map_week_to_day(filtered_data[0]['Year'],
filtered_data[0]['Week'])
for r in filtered_data:
# Convert the week to a date in that week
week_start_date = self.mymidi.map_week_to_day(
r['Year'], r['Week'], first_day.weekday())
# To get your date into an integer format, convert that date into the number of days since Jan. 1, 1970
days_since_epoch = self.mymidi.days_since_epoch(week_start_date)
# Convert that integer date into a beat
beat = self.mymidi.beat(days_since_epoch)
timed_data.append({
'days_since_epoch':
days_since_epoch,
'beat':
beat,
'CoalProdMillions':
float(r['CoalProd']) / 1000000.0
})
note_list = self.make_notes(timed_data, 'CoalProdMillions')
# Add a track with those notes
self.mymidi.add_track(note_list)
# Output the .mid file
self.mymidi.save_midi()
def main():
parser = argparse.ArgumentParser(description='Provide parameters!')
parser.add_argument('tempo', help="Provide tempo of the song!", type=int)
parser.add_argument('key', help="Provide key of the song!", type=int)
parser.add_argument('scale', help="Provide scale of the song!", type=int)
parser.add_argument('number_of_bars', help="Provide number of bars!", type=int)
parser.add_argument('meter', help="Provide the meter of the song!", type=int)
parser.add_argument('octaves_range', help="Provide the range of octaves", type=int)
parser.add_argument('song_name', help="Provide song name", type=str)
args = parser.parse_args()
tempo = args.tempo
key = args.key
scale = args.scale
number_of_bars = args.number_of_bars
meter = args.meter
octaves_range = args.octaves_range
song_name = "resources/" + args.song_name + ".mid"
with open('resources/scales.txt', 'r') as f:
x = f.readlines()
# scales are in scales.txt file
if scale > len(x):
print("Scale number is out of range")
sys.exit()
if key > 11 or key < 0:
print("Key number should be between 0 - 11")
sys.exit()
if meter < 1 or meter > 7:
print("Meter should be between 1 - 7")
sys.exit()
if tempo < 1 or tempo > 300:
print("Tempo should be between 1 - 300")
sys.exit()
if number_of_bars < 1 or number_of_bars > 50:
print("Number of bars should be between 1 - 50")
sys.exit()
if octaves_range < 1 or octaves_range > 3:
print("Number of octaves should be between 1 - 3")
sys.exit()
scale_list = x[scale-1].replace('\n', '')
scale_list = scale_list.split(", ")
tempo *= 4
meter *= 4
song = Song(number_of_bars, scale_list, tempo, key, meter, octaves_range)
song.generate_song()
midi = MIDITime(tempo, song_name)
song_notes = song.notes
midi.add_track(song_notes)
midi.save_midi()
def create_midi_file(fileName, bpm = 120, data = [], outputRange=2, songBeatLength=60):
# first normalize data by deviation
magnitudeMean = sum([d[1] for d in data]) / len([d[1] for d in data])
deviations = [(d[1] - magnitudeMean) for d in data]
magnitudeMin = min(deviations)
magnitudeMax = max(deviations)
# (bpm, filename, sec per year, base octave,octave range)
mymidi = MIDITime(bpm, fileName, 5, 4, outputRange)
# add {'event_date': , 'magnitude': }
note_list = []
# tie everything to 60 beats
# [time, pitch, velocity, duration]
beatsPerDataPoint = float(songBeatLength) / len(deviations)
i = 0
for d in deviations:
note_list.append([
i * beatsPerDataPoint, # beat
mag_to_pitch_tuned(d, mymidi, magnitudeMin, magnitudeMax),
100, # velocity
beatsPerDataPoint # duration, in beats
])
i=i+1
# Add a track with those notes
mymidi.add_track(note_list)
mymidi.save_midi()
def generate(self, lenght, path_in, path_out, bmp, nutes_max):
mymidi = MIDITime(bmp, path_out)
midinotes = self.algorithm.compose(lenght, path_in, nutes_max)
mymidi.add_track(midinotes)
mymidi.save_midi()
def main():
args = args_parser.parse_args()
vel = 127
scale = MINOR if args.scale == "MINOR" else MAJOR
# opens file with poem to parse
with open(args.poem, 'r', encoding="UTF-8") as poem:
poem_lines = poem.readlines()
letter_notes = letter_notes_dict(args.lang, args.gama, scale)
# sometimes there is strange utf sig in the first spot
if poem_lines[0][0].lower() not in letter_notes.keys():
poem_lines[0] = poem_lines[0][1:]
# lowers all notes if necessary
if args.l:
for letter, note in letter_notes.items():
letter_notes[letter] = note - 12
rhythm_maker = RhythmMaker(args.rhythm)
chord_maker = ChordMaker(scale, vel // 2, args.chords)
song = Song(vel, letter_notes, chord_maker, rhythm_maker)
for line in poem_lines:
for word in line.split():
song.add_tact(word)
mymidi = MIDITime(90, args.o)
mymidi.add_track(song.print())
mymidi.save_midi()
class MIDIFile(object):
def __init__(self, BPM=120, filename='example.mid'):
self.pattern = MIDITime(BPM, filename)
self.step_counter = 0
self.filename = filename
def create(self, notes):
midinotes = []
offset = 60
attack = 200
beats = 1
for note in notes:
pitch = (note - 1) + offset
midinote = [self.step_counter, pitch, attack, beats]
midinotes.append(midinote)
self.step_counter = self.step_counter + 1
# Add a track with those notes
self.pattern.add_track(midinotes)
# Output the .mid file
self.pattern.save_midi()
class Composer:
def __init__(self, out_file: str = "out.mid"):
self.__mt = MIDITime(StyleManager().style.bpm, out_file)
self.drummer = Drummer()
self.player = PianoPlayer()
def compose(self, bar_groups: int = 4):
self.drummer.play(bar_groups)
self.player.play(bar_groups)
def save(self):
tracks = self.drummer.tracks + self.player.tracks
for notes in tracks:
self.__mt.add_track(notes)
if tracks:
save_midi(self.__mt, StyleManager().style.instruments_per_channel)
else:
save_midi(self.__mt) # empty
def __init__(
self,
spreadsheet_id="1YkaCukkp0w-enqqJCDNgjbM3PKimfr6Ic6lo_02PSM0",
range="periodic!B2:D119",
bpm=120,
save_path="midi.mid",
find_time=lambda ti: ti,
find_pitch=lambda pi: pi,
find_velocity=lambda ve=100: ve,
find_duration=lambda du=1: du,
):
super()
self.spreadsheet_id = spreadsheet_id
self.range = range
self.bpm = bpm
self.find_time = find_time
self.find_pitch = find_pitch
self.find_duration = find_duration
self.find_velocity = find_velocity
# (beats per min, output file, sec/year, base octave, octaves in range)
self.miditime = MIDITime(self.bpm, save_path, 5, 5, 1)
self.sheets_to_data()
def just_jaws(self, outfile): # Just play the whole song
mymidi = MIDITime(self.tempo, outfile, self.seconds_per_year,
self.base_octave, self.octave_range, self.epoch)
note_list = self.bigger_boat(0, 70, mymidi, self.base_octave)
# Add a track with those notes
mymidi.add_track(note_list)
# Output the .mid file
mymidi.save_midi()
def test_sequencer_relative(out="out.mid", bpm=120, beats_per_bar=10):
mt = MIDITime(bpm, out)
seq = Sequencer(beats_per_bar=beats_per_bar, perturb_velocity_cap=10)
start = 0
end = 120
# create the pattern as indices within a scale
pi = [0, S, 1, S, 2]
pv = [H, 0, M, 0, H]
pd = [1, 1, 1, 1, 1]
pattern = Pattern("piano", 1, pi, pv, pd, repeatable=True)
# convert to sounds
walker = ScaleWalker(Scale(ScaleBlueprint([A, C, D, E, G]), E))
print(pattern.indices)
pattern = pattern.sound_pattern_from_this_walk(walker)
print(pattern.indices)
seq.time = start
if not seq.compatible(pattern):
print("Pattern incompatible")
return
while seq.time < end:
if not seq.append(pattern):
print("Couldn't append")
print(seq.notes)
mt.add_track(seq.notes)
save_midi(mt)
def generate(self, pace, duration, probability):
midi = MIDITime(tempo=pace, outfile=self.filename)
notes_count = int(duration * pace / 60)
notes = []
x = get_max_probability(probability)
for i in range(0, notes_count):
x = get_random(probability, x)[0]
if x < 128:
notes.append([i, x, 127, randint(3, 5)])
midi.add_track(notes)
midi.save_midi()
def generate(self):
filename = self.generate_filename()
mymidi = MIDITime(self.tempo, self.location + filename)
if self.mode == 0:
midinotes = self.mode0()
elif self.mode == 1:
midinotes = self.mode1()
else:
midinotes = self.mode2()
mymidi.add_track(midinotes)
mymidi.save_midi()
def midify(sumsinearray):
counter = 0
global mymidi
for i in range(len(sumsinearray)):
name = str(sumsinearray[i][1]) +'.mid'
mymidi = MIDITime(120, name, 4, 5, 1)
my_data = dictify(sumsinearray[i][0])
my_data_timed = [{'beat': mymidi.beat(d['datapoint']), 'magnitude': d['magnitude']} for d in my_data]
start_time = my_data_timed[0]['beat']
note_list = builtnotelist(my_data_timed, start_time)
# Add a track with those notes
mymidi.add_track(note_list)
# Output the .mid file
mymidi.save_midi()
counter += 1
def main():
args = return_args()
dates = getDateRange(args.days)
getRequest(dates, args.minmag)
myLocation=getLocation()
domains = parseQuakes(myLocation)
#domains = {'distance': (33.69, 11845.77), 'depth': (0.42, 599.18), 'magnitude': (2.5, 7.2)}
quake_midi = MIDITime(outfile=args.outfile, tempo=args.tempo, base_octave=args.base, octave_range=args.range)
track_list = create_track_list(quake_midi, domains, args.key, args.patches)
for note_list in track_list:
quake_midi.add_track(note_list)
print args.patches
quake_midi.save_midi()
def csv_to_miditime(self, infile, outfile, octave):
raw_data = list(self.read_csv(infile))
mymidi = MIDITime(self.tempo, outfile, self.seconds_per_year,
self.base_octave, self.octave_range, self.epoch)
note_list = []
start_note_index = 0
for r in raw_data:
began_date = datetime.strptime(
r["began_date"],
"%Y-%m-%d %H:%M:%S+00:00") # 2009-01-15 16:15:00+00:00
ended_date = datetime.strptime(r["ended_date"],
"%Y-%m-%d %H:%M:%S+00:00")
began_days_since_epoch = mymidi.days_since_epoch(began_date)
ended_days_since_epoch = mymidi.days_since_epoch(ended_date)
start_beat = mymidi.beat(began_days_since_epoch)
end_beat = mymidi.beat(ended_days_since_epoch)
duration_in_beats = end_beat - start_beat
# if duration_in_beats < 3:
# duration_in_beats = 3
# print start_beat, duration_in_beats
new_notes, start_note_index = self.bigger_boat_2(
start_beat, start_note_index, duration_in_beats, mymidi,
octave)
note_list = note_list + new_notes
# Add a track with those notes
mymidi.add_track(note_list)
# Output the .mid file
mymidi.save_midi()
def playMusic(long, tempo, pitch, velocity, duration):
global mymidi, midinotes, i
mymidi = MIDITime(tempo, filename)
midinotes = []
for i in range(0, long):
midinotes.append([
i * 0.5,
randint(48, pitch),
randint(70, velocity),
randint(1, duration)
])
mymidi.add_track(midinotes)
mymidi.save_midi()
os.startfile(filename)
def list_to_miditime(self, raw_data, outfile, octave):
mymidi = MIDITime(self.tempo, outfile, self.seconds_per_mile,
self.base_octave, self.octave_range, self.epoch)
note_list = []
start_note_index = 0
border_full_length = self.border_full_length()
print border_full_length
for r in raw_data:
segment_start_meters = r['start_pct'] * border_full_length
segment_start_beat = self.nearest_nth_beat(
self.beat_meters(segment_start_meters), 16)
segment_end_beat = self.nearest_nth_beat(
self.beat_meters(segment_start_meters + r['length_m']), 16)
duration_in_beats = segment_end_beat - segment_start_beat
if duration_in_beats == 0:
duration_in_beats = float(1) / float(
16) # Minimum duration of 1/16
if r['type'] == 'pedestrian':
pitch = 'E5'
elif r['type'] == 'vehicle':
pitch = 'F6'
# I've left a few other options commented out here. The live version just plays one long note for the duration of the fence segment, but the othres play through a melody. We ended up doing all of our melodic stuff in Live once we had a raw midi file.
# new_notes, start_note_index = self.bigger_boat_2(segment_start_beat, start_note_index, duration_in_beats, mymidi, octave)
# new_notes = self.bigger_boat(segment_start_beat, duration_in_beats, mymidi, octave)
new_notes = self.just_one_note(segment_start_beat,
duration_in_beats, pitch, mymidi,
octave)
note_list = note_list + new_notes
# Add a track with those notes
mymidi.add_track(note_list)
# Output the .mid file
mymidi.save_midi()
def testSimpleMode70(self):
m = MIDITime(base_octave=5, octave_range=3)
pct = m.linear_scale_pct(0, 5.7, 4.0, reverse=False)
self.assertEqual(m.scale_to_note(pct, ['C', 'D', 'E', 'F', 'G', 'A', 'B']), 'C7')
class Coal2Midi(object):
''' Adapted from Jordan Wirfs-Brock's awesome coal production sonification.
Post here: http://insideenergy.org/2016/05/03/listen-to-u-s-coal-production-fall-off-a-cliff/
Code and data here: https://github.com/InsideEnergy/Data-for-stories/tree/master/20160503-coal-production-sonification
'''
epoch = datetime(1970, 1, 1) # TODO: Allow this to override the midtime epoch
mymidi = None
tempo = 120
min_attack = 30
max_attack = 255
min_duration = 1
max_duration = 5
seconds_per_year = 26
c_major = ['C', 'D', 'E', 'F', 'G', 'A', 'B']
c_minor = ['C', 'D', 'Eb', 'F', 'G', 'Ab', 'Bb']
a_minor = ['A', 'B', 'C', 'D', 'E', 'F', 'F#', 'G', 'G#']
c_blues_minor = ['C', 'Eb', 'F', 'F#', 'G', 'Bb']
d_minor = ['D', 'E', 'F', 'G', 'A', 'Bb', 'C']
c_gregorian = ['C', 'D', 'Eb', 'F', 'G', 'Ab', 'A', 'Bb']
current_key = c_major
base_octave = 4
octave_range = 3
def __init__(self):
self.csv_to_miditime()
def read_csv(self, filepath):
csv_file = open(filepath, 'rU')
return csv.DictReader(csv_file, delimiter=',', quotechar='"')
def remove_weeks(self, csv_obj):
return [r for r in csv_obj if int(r['Week']) not in [53]]
def round_to_quarter_beat(self, input):
return round(input * 4) / 4
def round_to_half_beat(self, input):
return round(input * 2) / 2
def make_notes(self, data_timed, data_key):
note_list = []
start_time = data_timed[0]['beat']
for d in data_timed:
note_list.append([
# self.round_to_half_beat(d['beat'] - start_time),
round(d['beat'] - start_time),
self.data_to_pitch_tuned(d[data_key]),
100,
#mag_to_attack(d['magnitude']), # attack
1 # duration, in beats
])
return note_list
def data_to_pitch_tuned(self, datapoint):
# Where does this data point sit in the domain of your data? (I.E. the min magnitude is 3, the max in 5.6). In this case the optional 'True' means the scale is reversed, so the highest value will return the lowest percentage.
scale_pct = self.mymidi.linear_scale_pct(0, self.maximum, datapoint)
# Another option: Linear scale, reverse order
# scale_pct = mymidi.linear_scale_pct(0, self.maximum, datapoint, True)
# Another option: Logarithmic scale, reverse order
# scale_pct = mymidi.log_scale_pct(0, self.maximum, datapoint, True)
# Pick a range of notes. This allows you to play in a key.
mode = self.current_key
#Find the note that matches your data point
note = self.mymidi.scale_to_note(scale_pct, mode)
#Translate that note to a MIDI pitch
midi_pitch = self.mymidi.note_to_midi_pitch(note)
return midi_pitch
def mag_to_attack(self, datapoint):
# Where does this data point sit in the domain of your data? (I.E. the min magnitude is 3, the max in 5.6). In this case the optional 'True' means the scale is reversed, so the highest value will return the lowest percentage.
scale_pct = self.mymidi.linear_scale_pct(0, self.maximum, datapoint)
#max_attack = 10
adj_attack = (1 - scale_pct) * max_attack + 70
#adj_attack = 100
return adj_attack
def csv_to_miditime(self):
self.mymidi = MIDITime(self.tempo, 'coaltest.mid', self.seconds_per_year, self.base_octave, self.octave_range)
raw_data = self.read_csv('data/coal_prod_1984_2016_weeks_summed.csv')
filtered_data = self.remove_weeks(raw_data)
self.minimum = self.mymidi.get_data_range(filtered_data, 'CoalProd')[0] / 1000000.0
self.maximum = self.mymidi.get_data_range(filtered_data, 'CoalProd')[1] / 1000000.0
timed_data = []
# Get the first day in the dataset, so we can use it's day of the week to anchor our other weekly data.
first_day = self.mymidi.map_week_to_day(filtered_data[0]['Year'], filtered_data[0]['Week'])
for r in filtered_data:
# Convert the week to a date in that week
week_start_date = self.mymidi.map_week_to_day(r['Year'], r['Week'], first_day.weekday())
# To get your date into an integer format, convert that date into the number of days since Jan. 1, 1970
days_since_epoch = self.mymidi.days_since_epoch(week_start_date)
# Convert that integer date into a beat
beat = self.mymidi.beat(days_since_epoch)
timed_data.append({
'days_since_epoch': days_since_epoch,
'beat': beat,
'CoalProdMillions': float(r['CoalProd']) / 1000000.0
})
note_list = self.make_notes(timed_data, 'CoalProdMillions')
# Add a track with those notes
self.mymidi.add_track(note_list)
# Output the .mid file
self.mymidi.save_midi()
class bomb2midi(object):
''' Submitted by Jennifer LaFleur. '''
epoch = datetime(1945, 1, 1) # Not actually necessary, but optional to specify your own
mymidi = None
min_value = 0
max_value = 5.7
tempo = 120
min_attack = 30
max_attack = 255
min_duration = 1
max_duration = 5
seconds_per_year = 3
c_major = ['C', 'D', 'E', 'F', 'G', 'A', 'B']
c_minor = ['C', 'D', 'Eb', 'F', 'G', 'Ab', 'Bb']
a_minor = ['A', 'B', 'C', 'D', 'E', 'F', 'F#', 'G', 'G#']
c_blues_minor = ['C', 'Eb', 'F', 'F#', 'G', 'Bb']
d_minor = ['D', 'E', 'F', 'G', 'A', 'Bb', 'C']
c_gregorian = ['C', 'D', 'Eb', 'F', 'G', 'Ab', 'A', 'Bb']
current_key = c_major
base_octave = 2
octave_range = 5
def __init__(self):
self.csv_to_miditime()
def read_csv(self, filepath):
csv_file = open(filepath, 'rU')
return csv.DictReader(csv_file, delimiter=',', quotechar='"')
def remove_weeks(self, csv_obj):
return [r for r in csv_obj if r['Date'] not in ['']]
def round_to_quarter_beat(self, input):
return round(input * 4) / 4
def make_notes(self, data_timed, data_key):
note_list = []
start_time = data_timed[0]['beat']
for d in data_timed:
note_list.append([
self.round_to_quarter_beat(d['beat'] - start_time),
self.data_to_pitch_tuned(d[data_key]),
100,
#mag_to_attack(d['magnitude']), # attack
1 # duration, in beats
])
return note_list
def csv_to_miditime(self):
raw_data = list(self.read_csv('data/bombs.csv'))
filtered_data = self.remove_weeks(raw_data)
self.mymidi = MIDITime(self.tempo, 'bombtest_log.mid', self.seconds_per_year, self.base_octave, self.octave_range, self.epoch)
self.minimum = self.mymidi.get_data_range(filtered_data, 'Yieldnum')[0]
self.maximum = self.mymidi.get_data_range(filtered_data, 'Yieldnum')[1]
timed_data = []
for r in filtered_data:
python_date = datetime.strptime(r["Date"], "%m/%d/%Y")
days_since_epoch = self.mymidi.days_since_epoch(python_date)
beat = self.mymidi.beat(days_since_epoch)
timed_data.append({
'days_since_epoch': days_since_epoch,
'beat': beat,
'BombYieldMillions': float(r['Yieldnum'])
})
note_list = self.make_notes(timed_data, 'BombYieldMillions')
# Add a track with those notes
self.mymidi.add_track(note_list)
# Output the .mid file
self.mymidi.save_midi()
def data_to_pitch_tuned(self, datapoint):
# Where does this data point sit in the domain of your data? (I.E. the min magnitude is 3, the max in 5.6). In this case the optional 'True' means the scale is reversed, so the highest value will return the lowest percentage.
#scale_pct = self.mymidi.linear_scale_pct(0, self.maximum, datapoint)
# Another option: Linear scale, reverse order
# scale_pct = self.mymidi.linear_scale_pct(0, self.maximum, datapoint, True)
# print 10**self.maximum
# Another option: Logarithmic scale, reverse order
scale_pct = self.mymidi.log_scale_pct(0, self.maximum, datapoint, True, 'log')
# Pick a range of notes. This allows you to play in a key.
mode = self.current_key
#Find the note that matches your data point
note = self.mymidi.scale_to_note(scale_pct, mode)
#Translate that note to a MIDI pitch
midi_pitch = self.mymidi.note_to_midi_pitch(note)
print scale_pct, note
return midi_pitch
def mag_to_attack(self, datapoint):
# Where does this data point sit in the domain of your data? (I.E. the min magnitude is 3, the max in 5.6). In this case the optional 'True' means the scale is reversed, so the highest value will return the lowest percentage.
scale_pct = self.mymidi.linear_scale_pct(0, self.maximum, datapoint)
#max_attack = 10
adj_attack = (1 - scale_pct) * max_attack + 70
#adj_attack = 100
return adj_attack
def create_midi_file(self, tempo, path):
if path is not None:
midi_file = MIDITime(tempo, path + '\supersong.mid')
else:
midi_file = MIDITime(tempo, 'supersong.mid')
return midi_file
def generate_file(filepath, time, option, bpm):
directory = path.dirname(filepath)
# if path is not created, makes one
if directory != '' and not path.exists(directory):
makedirs(directory)
mymidi = MIDITime(bpm, filepath)
# Create a list of notes. Each note is a list: [time, pitch, velocity, duration]
# notes as an object
sounds = musicnotes.Notes(time, 0, option)
midinotes = sounds.notes
magicnotes = [
[0, 61, 127, 3],
[2, 66, 127, 2],
[5, 69, 127, 1],
[6, 68, 127, 2],
[8, 66, 127, 2],
[11, 73, 127, 2],
[13, 71, 127, 4],
[18, 68, 107, 2],
[22, 66, 100, 2],
[25, 69, 127, 1],
[26, 68, 127, 1],
[28, 64, 117, 2],
[31, 66, 100, 2],
[33, 61, 90, 3],
]
if filepath.endswith('magic.mid'):
mymidi = MIDITime(240, filepath)
mymidi.add_track(magicnotes)
mymidi.save_midi()
exit(0)
# Add a track with those notes
mymidi.add_track(midinotes)
# Output the .mid file
mymidi.save_midi()
def create_midi(bpm, output, seconds_per_year, base_octave, num_of_octaves):
return MIDITime(120, 'sound_of_curiosity.mid', seconds_per_year,
base_octave, num_of_octaves)
def __init__(self, file_name, song_speed, song_mode, tones_range, notes):
self.song = MIDITime(song_speed, file_name) #song
self.song_mode = song_mode #if curvy or slight
self.tones_range = tones_range # (60 - range ... 60 ... 60 + range)
self.notes = notes #list with notes
def testDatetimeNaive(self):
m = MIDITime()
dt = datetime.datetime.strptime('1970-01-01', '%Y-%m-%d')
self.assertEqual(m.days_since_epoch(dt), 0)
def testComplexMode100(self):
m = MIDITime(base_octave=5, octave_range=3)
pct = m.linear_scale_pct(0, 5.7, 5.7, reverse=False)
self.assertEqual(m.scale_to_note(pct, ['D', 'E', 'F', 'G', 'A', 'Bb', 'C']), 'Bb7')
def testDatetimeAware(self):
m = MIDITime()
utc = pytz.utc
dt = utc.localize(datetime.datetime.strptime('1970-01-01', '%Y-%m-%d'))
self.assertEqual(m.days_since_epoch(dt), 0)
