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import numpy as np
import soundfile as sf
import csv
from pathlib import Path
import librosa
import hashlib
import argparse
import warnings
# Silence librosa MP3 warning
warnings.filterwarnings("ignore", category=Warning)

INPUT_FOLDER = "Aebersold"
OUTPUT_FOLDER = "Backing"
SCRIPTS_FOLDER = "Scripts"
CSV_FILENAME = "Edit_Data.csv"
CSV_CHECKSUM = "799806dbc9756b3baf0c7df8027dea95"
CROSS_FADE_SAMPLES = 4410
SR = 44100
NORMALISE_TARGET = 0.95
VERSION_OPTIONS = ['full', 'lite']
INPUT_OPTIONS = ['-version', '-overwrite']

def md5(fname):
    hash_md5 = hashlib.md5()
    with open(fname, "rb") as f:
        for chunk in iter(lambda: f.read(4096), b""):
            hash_md5.update(chunk)
    return hash_md5.hexdigest()

def check_files():
    # Check if backing folder exists
    backing_path = Path.cwd() / OUTPUT_FOLDER
    if not backing_path.exists():
        raise OSError("Error: folder structure incomplete. Run this script inside the Filosax folder, which should contain a 'Backing' folder.")

    # Check if Aebersold folder exists
    aebersold_path = Path.cwd() / INPUT_FOLDER
    if not aebersold_path.exists():
        raise OSError("Error: folder structure incomplete. Run this script inside the Filosax folder, which should contain an 'Aebersold' folder.")

    # Check if CSV file exists and matches checksum
    csv_path = Path.cwd() / SCRIPTS_FOLDER / CSV_FILENAME
    if not csv_path.exists():
        raise OSError("Error: %s file missing." % CSV_FILENAME)
    if md5(csv_path) != CSV_CHECKSUM:
        raise OSError("Error: %s wrong file version." % CSV_FILENAME)
    
def load_data():
    # Load data from CSV file
    csv_path = Path.cwd() / SCRIPTS_FOLDER / CSV_FILENAME
    csv_data = []
    with open(csv_path) as csv_file:
        csv_reader = csv.reader(csv_file, delimiter=',')
        line_count = 0
        for row in csv_reader:
            if line_count == 0:
                line_count += 1
            else:
                csv_data.append(row)
    return csv_data

def crossfade_ramps(sample_count, fade_type='equal_power'):
    if fade_type == 'equal_power':
        in_ramp = np.zeros(sample_count)
        for i in np.arange(sample_count):
            in_ramp[i] = np.sqrt(i/sample_count)
        out_ramp = np.flip(in_ramp)
    else:
        # Linear ramps
        in_ramp = np.linspace(0, 1, sample_count)
        out_ramp = np.flip(in_ramp)
    return in_ramp, out_ramp

def perform_edits(filosax_version='full', overwrite_files=False):

    num_files = 0
    if filosax_version == 'full':
        num_files = 48
    if filosax_version == 'lite':
        num_files = 5

    csv_data = load_data()
    in_ramp, out_ramp = crossfade_ramps(CROSS_FADE_SAMPLES)
    num_files_processed = 0

    # Iterate over tracks
    for track_num in np.arange(0, num_files):
        track_data = csv_data[track_num]
        track_id = track_data[0]
        track_name = track_data[1]
        print("Processing Track", track_id, ": '%s'... " % track_name, end = '')
        
        # Does folder exist?
        this_folder = Path.cwd() / OUTPUT_FOLDER / track_id
        if not this_folder.exists():
            print("Backing folder does not exist.")
            continue
        
        # Does Aebersold track exist? Does it match the checksum?
        file_name = track_data[3]
        file_ext = track_data[4]
        aebersold_path = Path.cwd() / INPUT_FOLDER / (file_name + file_ext)
        if not aebersold_path.exists():
            print("Aebersold file does not exist.")
            continue
        if (md5(aebersold_path) != track_data[5]):
            print("Aebersold file wrong version.")
            continue

        # Do the files already exist?
        if not(overwrite_files):
            bass_drums_file = this_folder / "Bass_Drums.wav"
            piano_drums_file = this_folder / "Piano_Drums.wav"
            if bass_drums_file.exists() or piano_drums_file.exists():
                print("One or both backing tracks already exists.")
                continue
            
        # If all this works, proceed
        track_length = int(track_data[7])
        bass_drums = np.zeros(track_length)
        piano_drums = np.zeros(track_length)
        file_adjust = int(track_data[6])
        num_edits = int(track_data[9])
        fade_dur = int(track_data[8])
        
        audio_data, sr = librosa.load(aebersold_path, sr=SR, mono=False)
        audio_data_l = audio_data[0]
        audio_data_r = audio_data[1]
        
        # Normalise audio data
        audio_data_l = librosa.util.normalize(audio_data_l) * NORMALISE_TARGET
        audio_data_r = librosa.util.normalize(audio_data_r) * NORMALISE_TARGET
        
        # Iterate over edits
        for n in np.arange(num_edits):
            file_ref = int(track_data[10+(n*3)])
            edit_start = int(track_data[11+(n*3)])
            edit_dur = int(track_data[12+(n*3)])
            if (n > 0):
                edit_start -= CROSS_FADE_SAMPLES
                edit_dur += CROSS_FADE_SAMPLES
                
            #print(file_adjust, file_ref, edit_start, edit_dur)
                
            start_sample = edit_start - file_ref - file_adjust
            end_sample = start_sample + edit_dur
            edit_end = edit_start + edit_dur
            if edit_end > track_length:
                edit_end = track_length
                end_sample = start_sample + (edit_end - edit_start)
            
            #print(start_sample, end_sample, edit_start, edit_end)
            
            l_splice = audio_data_l[start_sample:end_sample].copy()
            r_splice = audio_data_r[start_sample:end_sample].copy()
            
            # Cross fade in
            #if (n > 0):
            l_splice[:CROSS_FADE_SAMPLES] = l_splice[:CROSS_FADE_SAMPLES] * in_ramp
            r_splice[:CROSS_FADE_SAMPLES] = r_splice[:CROSS_FADE_SAMPLES] * in_ramp
            
            if (n == num_edits-1) and (fade_dur > 0) and (fade_dur <= len(l_splice)):
                # Longer fade out for final edit if required
                fade_ramp = np.flip(np.linspace(0, 1, fade_dur+1, endpoint=False))[:-1]
                l_splice[-fade_dur:] = l_splice[-fade_dur:] * fade_ramp
                r_splice[-fade_dur:] = r_splice[-fade_dur:] * fade_ramp
            else:
                # Cross fade out
                l_splice[-CROSS_FADE_SAMPLES:] = l_splice[-CROSS_FADE_SAMPLES:] * out_ramp
                r_splice[-CROSS_FADE_SAMPLES:] = r_splice[-CROSS_FADE_SAMPLES:] * out_ramp
                
            bass_drums[edit_start:edit_end] += l_splice
            piano_drums[edit_start:edit_end] += r_splice
            
        # Export audio files
        bass_drums_file = this_folder / "Bass_Drums.wav"
        piano_drums_file = this_folder / "Piano_Drums.wav"
        sf.write(bass_drums_file, bass_drums, sr, subtype="PCM_24")
        sf.write(piano_drums_file, piano_drums, sr, subtype="PCM_24")
        print("Edited backing tracks created.")
        num_files_processed += 1

    print("***")
    print("%d of %d files processed." % (num_files_processed, num_files))
    print("***")
    
def main(args):
    check_files()
    perform_edits(args.version, args.overwrite)
    
if __name__ == "__main__":
    PARSER = argparse.ArgumentParser(description="Make Filosax backing edits")
    PARSER.add_argument("-version", choices=VERSION_OPTIONS, default='full', help="which Filosax version?")
    PARSER.add_argument("-overwrite", action="store_true", help="overwrite existing?")
    main(PARSER.parse_args())