# -*- coding: utf-8 -*-
"""MIDI_Images_Solo_Piano_Dataset_Maker.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/15E6o3Y1xPific5RtIZ-1CneHQhts3eEr

# MIDI Images Solo Piano Dataset Maker (ver. 1.0)

***

Powered by tegridy-tools: https://github.com/asigalov61/tegridy-tools

***

#### Project Los Angeles

#### Tegridy Code 2024

***

# (SETUP ENVIRONMENT)
"""

# @title Install dependecies
!git clone --depth 1 https://github.com/asigalov61/tegridy-tools

# Commented out IPython magic to ensure Python compatibility.
#@title Import all needed modules

print('=' * 70)
print('Loading core modules...')
print('Please wait...')
print('=' * 70)

import os
import copy
import math
import statistics
import random
import pickle
import shutil
from itertools import groupby
from collections import Counter
from sklearn.metrics import pairwise_distances
from sklearn import metrics
from joblib import Parallel, delayed, parallel_config
import numpy as np
from tqdm import tqdm
from PIL import Image
import matplotlib.pyplot as plt

print('Done!')
print('=' * 70)
print('Creating I/O dirs...')

if not os.path.exists('/content/Dataset'):
    os.makedirs('/content/Dataset')

print('Done!')
print('=' * 70)
print('Loading tegridy-tools modules...')
print('=' * 70)

# %cd /content/tegridy-tools/tegridy-tools

import TMIDIX
import TMELODIES
import TPLOTS
import HaystackSearch

# %cd /content/

print('=' * 70)
print('Done!')
print('=' * 70)

"""# (DOWNLOAD SAMPLE MIDI DATASET)"""

# Commented out IPython magic to ensure Python compatibility.
# @title Download sample MIDI dataset (POP909)
# %cd /content/Dataset/
!git clone --depth 1 https://github.com/music-x-lab/POP909-Dataset
# %cd /content/

#@title Save file list
###########

print('=' * 70)
print('Loading MIDI files...')
print('This may take a while on a large dataset in particular...')

dataset_addr = '/content/Dataset/'

# os.chdir(dataset_addr)
filez = list()
for (dirpath, dirnames, filenames) in os.walk(dataset_addr):
    filez += [os.path.join(dirpath, file) for file in filenames if file.endswith('.mid') or file.endswith('.midi') or file.endswith('.kar')]
print('=' * 70)

if filez == []:
    print('Could not find any MIDI files. Please check Dataset dir...')
    print('=' * 70)

print('Randomizing file list...')
random.shuffle(filez)
print('Done!')
print('=' * 70)
print('Total found MIDI files:', len(filez))
print('=' * 70)

TMIDIX.Tegridy_Any_Pickle_File_Writer(filez, 'filez')

print('=' * 70)

"""# (LOAD TMIDIX MIDI PROCESSOR)"""

#@title Load TMIDIX MIDI processor

print('=' * 70)
print('TMIDIX MIDI Processor')
print('=' * 70)
print('Loading...')

###########

def TMIDIX_MIDI_Processor(midi_file):

    fn = os.path.basename(midi_file)
    fn1 = fn.split('.mid')[0]

    try:

        #=======================================================
        # START PROCESSING

        raw_score = TMIDIX.midi2single_track_ms_score(midi_file)

        escore_notes = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]

        escore_notes = TMIDIX.augment_enhanced_score_notes(escore_notes, timings_divider=256)

        sp_escore_notes = TMIDIX.recalculate_score_timings(TMIDIX.solo_piano_escore_notes(escore_notes, keep_drums=False))

        if sp_escore_notes:

            bmatrix = TMIDIX.escore_notes_to_binary_matrix(sp_escore_notes)

            return [fn1, bmatrix]

        else:
            return [fn1, []]

        #=======================================================

    except Exception as ex:
        print('WARNING !!!')
        print('=' * 70)
        print('Bad MIDI:', midi_file)
        print('Error detected:', ex)
        print('=' * 70)
        return None

print('Done!')
print('=' * 70)

"""# (PROCESS MIDIs)"""

#@title Process MIDIs with TMIDIX MIDI processor
output_folder = "/content/MIDI-Images/" # @param {"type":"string"}

NUMBER_OF_PARALLEL_JOBS = 4 # Number of parallel jobs
NUMBER_OF_FILES_PER_ITERATION = 4 # Number of files to queue for each parallel iteration
SAVE_EVERY_NUMBER_OF_ITERATIONS = 128 # Save every 2560 files

print('=' * 70)
print('TMIDIX MIDI Processor')
print('=' * 70)
print('Starting up...')
print('=' * 70)

###########

melody_chords_f = []

files_count = 0

print('Processing MIDI files...')
print('Please wait...')
print('=' * 70)

for i in tqdm(range(0, len(filez), NUMBER_OF_FILES_PER_ITERATION)):

  with parallel_config(backend='threading', n_jobs=NUMBER_OF_PARALLEL_JOBS, verbose = 0):

    output = Parallel(n_jobs=NUMBER_OF_PARALLEL_JOBS, verbose=0)(delayed(TMIDIX_MIDI_Processor)(f) for f in filez[i:i+NUMBER_OF_FILES_PER_ITERATION])

    for o in output:

        if o is not None:
            melody_chords_f.append(o)

    if i % (NUMBER_OF_FILES_PER_ITERATION * SAVE_EVERY_NUMBER_OF_ITERATIONS) == 0 and i != 0:

        print('SAVING !!!')
        print('=' * 70)
        print('Saving processed files...')
        files_count += len(melody_chords_f)
        print('=' * 70)
        print('Processed so far:', files_count, 'out of', len(filez), '===', files_count / len(filez), 'good files ratio')
        print('=' * 70)
        print('Writing images...')
        print('Please wait...')

        for mat in melody_chords_f:

          if mat[1]:

            TPLOTS.binary_matrix_to_images(mat[1],
                                            128,
                                            32,
                                            output_folder=output_folder+str(mat[0])+'/',
                                            output_img_prefix=str(mat[0]),
                                            output_img_ext='.png',
                                            verbose=False
                                            )

        print('Done!')
        print('=' * 70)
        melody_chords_f = []

print('SAVING !!!')
print('=' * 70)
print('Saving processed files...')
files_count += len(melody_chords_f)
print('=' * 70)
print('Processed so far:', files_count, 'out of', len(filez), '===', files_count / len(filez), 'good files ratio')
print('=' * 70)
print('Writing images...')
print('Please wait...')

for mat in melody_chords_f:

  if mat[1]:

    TPLOTS.binary_matrix_to_images(mat[1],
                                    128,
                                    32,
                                    output_folder=output_folder+str(mat[0])+'/',
                                    output_img_prefix=str(mat[0]),
                                    output_img_ext='.png',
                                    verbose=False
                                    )

print('Done!')
print('=' * 70)

"""# (LOAD IMAGES)"""

#@title Load created MIDI images
full_path_to_metadata_pickle_files = "/content/MIDI-Images" #@param {type:"string"}

print('=' * 70)
print('MIDI Images Reader')
print('=' * 70)
print('Searching for images...')

filez = list()
for (dirpath, dirnames, filenames) in os.walk(full_path_to_metadata_pickle_files):
    filez += [os.path.join(dirpath, file) for file in filenames if file.endswith('.png')]
print('=' * 70)

filez.sort()

print('Found', len(filez), 'images!')
print('=' * 70)
print('Reading images...')
print('Please wait...')
print('=' * 70)

fidx = 0

all_read_images = []

for img in tqdm(filez):

    img = Image.open(img)

    img_arr = np.array(img).tolist()

    all_read_images.append(img_arr)

    fidx += 1

print('Done!')
print('=' * 70)
print('Loaded', fidx, 'images!')
print('=' * 70)
print('Done!')
print('=' * 70)

"""# (TEST IMAGES)"""

# @title Test created MIDI images

print('=' * 70)

image = random.choice(all_read_images)

escore = TMIDIX.binary_matrix_to_original_escore_notes(image)

output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(escore)

detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score,
                                                          output_signature = 'MIDI Images',
                                                          output_file_name = '/content/MIDI-Images-Composition',
                                                          track_name='Project Los Angeles',
                                                          list_of_MIDI_patches=patches,
                                                          timings_multiplier=256
                                                          )

print('=' * 70)

"""# (ZIP IMAGES)"""

# @title Zip created MIDI images
!zip -9 -r POP909_MIDI_Images_128_128_32_BW.zip MIDI-Images/ > /dev/null

"""# Congrats! You did it! :)"""