harmonizing-ai/parse-midi.py at main · onurio/harmonizing-ai · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
import csv
import numpy as np
import os
import copy
from mido import MidiFile

midi_filename = "./midi/bach-tempered-claviere-fugue1.mid"
time_signature = {}


def calculate_position(time, ticks_per_beat, time_signature):
    # Numerator usually represents beats per bar
    beats_per_bar = time_signature['numerator']

    # We calculate how many ticks are in a beat, then multiply by the number of beats per bar.
    ticks_per_bar = ticks_per_beat * beats_per_bar

    # We calculate the position in the bar by taking the current time modulo the number of ticks in a bar.
    # This gives us the current tick position within the bar.
    # Dividing by the number of ticks in a bar normalizes it to a value between 0 and 1.
    position = (time % ticks_per_bar) / ticks_per_bar

    return position


def write_chords_to_csv(chords, file_path):
    with open('input_'+file_path, 'w', newline='') as csvfile:
        writer = csv.writer(csvfile)
        for (time, chord) in chords:
            notes = chord
            notes.sort()
            notes.reverse()
            writer.writerow([int(notes[0])])

    with open('output_'+file_path, 'w', newline='') as csvfile:
        writer = csv.writer(csvfile)
        for (time, chord) in chords:
            writer.writerow([int(num) for num in chord])


def get_time_signature(midi_file):
    for track in midi_file.tracks:
        for msg in track:
            if msg.type == 'time_signature':
                return msg.numerator, msg.denominator

    return None, None


def extract_chords_from_midi(midi_filename):
    try:
        midi_file = MidiFile(midi_filename)
        numerator, denominator = get_time_signature(midi_file)

        chords = []

        current_chord = set()
        current_time = 0
        microseconds_per_beat = 500000  # Default value

        for msg in midi_file:

            if msg.type == 'note_off':
                current_chord.discard(msg.note)
            if msg.type == 'note_on':
                # Convert microseconds to seconds
                current_time += msg.time * microseconds_per_beat

                if msg.velocity > 0:
                    current_chord.add(msg.note)
                else:
                    current_chord.discard(msg.note)

                if current_chord:
                    note_amount = len(current_chord)
                    note_list = list(current_chord)
                    if note_amount <= 6:
                        note_list.extend([0] * (6 - note_amount))
                    if note_amount > 1 and note_amount <= 6:
                        chords.append((current_time, note_list))

        return chords, (numerator, denominator)
    except Exception as e:
        print("Error parsing MIDI file:", midi_filename, e)
        return [], None


def time_in_bar(time, time_signature):
    beats_per_bar = time_signature[0]
    beat_type = time_signature[1]

    time_in_beats = time / (60 / beat_type)
    time_fraction = (time_in_beats % beats_per_bar) / beats_per_bar

    return time_fraction


total_chords = []
# # loop over midi folder


def traverse_directory(directory):
    for root, dirs, files in os.walk(directory):
        for file in files:
            print(file)
            if file.endswith(".mid") | file.endswith("midi"):

                file_path = os.path.join(root, file)
                extracted_chords, time_signature = extract_chords_from_midi(
                    file_path)
                total_chords.extend(extracted_chords)


traverse_directory('./midi')

# for file in os.listdir("midi"):
#     chords = []
#     if file.endswith(".mid"):
#         print(file)

# # Write simultaneous notes to CSV file
# # print(chords)
csv_file_path = 'chords.csv'
# print(csv_file_path)
write_chords_to_csv(total_chords, csv_file_path)
# # print("CSV file written successfully:", csv_file_path)


# with open('just_chords', 'w', newline='') as csvfile:
#     writer = csv.writer(csvfile)
#     for (time, chord) in total_chords:
#         writer.writerow(chord.sort())