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player.py
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497 lines (356 loc) · 12.4 KB
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import pygame
import pyloudnorm as pyln
import config
import os
import utils
import uuid
import json
import numpy as np
from scipy.signal import butter, lfilter
import tempfile
import wave
import time
import re
import threading
from io import BytesIO
import global_vars
import tkinter as tk
import matplotlib
import pygame._sdl2.audio as sdl2_audio
import matplotlib.pyplot as plt
from PIL import Image
import math
matplotlib.use("Agg")
tmp_files = []
current_duration = 0
loudnes_correction = 0
start_pos = 0
allowed_files = [".mp3", ".ogg", ".aif", ".aiff", ".m4a", ".flac"]
converted_files = {}
current_volume = 0.0
loudnes_table = {}
def is_initialized():
return pygame.mixer.get_init() is not None
def delete_tmp_files():
global tmp_files
for file in tmp_files:
try:
if os.path.exists(file):
os.remove(file)
print("Deleted file:", file)
except OSError as e:
print("Cannot delete tmp file:", file, e)
tmp_files = []
def remove_converted_file_from_list(name):
global converted_files
converted_files.pop(name, None)
def load_converted_files():
global converted_files
file_name = config.get_converted_files_full_file_name()
if os.path.exists(file_name):
with open(file_name, "r") as file:
converted_files = json.load(file)
def get_converted_files():
return converted_files
def save_converted_files():
file_name = config.get_converted_files_full_file_name()
with open(file_name, "w") as file:
json.dump(converted_files, file, indent=4)
def can_load_sound(file_path):
try:
_, extension = os.path.splitext(file_path)
extension = extension.lower()
if extension in allowed_files:
return file_path
else:
new_sound_file = str(uuid.uuid4()) + ".mp3"
new_file = os.path.join(
config.get_application_support_directory(), new_sound_file
)
utils.convert_to_mp3_with_tags(file_path, new_file)
converted_files[new_file] = file_path
return new_file
except Exception as e:
print("Cannot load: ", file_path, e)
return None
def quit_device():
if is_initialized():
pygame.mixer.quit()
def set_device(selected_device):
if is_initialized():
pygame.mixer.quit()
pygame.mixer.init(devicename=selected_device)
pygame.mixer.music.set_volume(current_volume)
print("Device set:", selected_device)
def get_devices(capture_devices: bool = False):
devices = tuple(sdl2_audio.get_audio_device_names(capture_devices))
return devices
def pcm_to_float(pcm_data, bit_depth=16):
max_value = float(2 ** (bit_depth - 1))
return pcm_data.astype(np.float32) / max_value
def get_loudness(data, rate):
meter = pyln.Meter(rate)
loudness = meter.integrated_loudness(pcm_to_float(data))
return loudness
def set_volume(volume):
global current_volume
current_volume = volume
v = volume * get_loudness_corretion()
if v > 1:
v = 1
if is_initialized():
pygame.mixer.music.set_volume(v)
def pause():
if is_initialized():
pygame.mixer.music.pause()
def unpause():
if is_initialized():
pygame.mixer.unpause()
def init_player():
if not is_initialized():
pygame.mixer.init()
def reset_progress():
global current_duration
global start_pos
current_duration = 0
start_pos = 0
def get_loudness_corretion():
return loudnes_correction
def get_loudness_corretion_db():
db = 20 * math.log10(loudnes_correction)
return db
def get_progress():
global current_duration
global start_pos
if current_duration > 0:
pos = get_pos()
return (pos + start_pos) / (current_duration * 1000)
else:
return 0
def get_pos():
return pygame.mixer_music.get_pos()
def get_start_pos():
return start_pos
def get_duration():
return current_duration * 1000
def fade():
if is_initialized():
pygame.mixer.music.fadeout(config.fade_time)
def stop():
if is_initialized():
pygame.mixer.music.stop()
def decode_mp3_to_pcm(input_mp3_path):
from pydub import AudioSegment
audio = AudioSegment.from_file(input_mp3_path)
audio = audio.set_frame_rate(44100).set_channels(2)
return audio
def db_to_amplitude(db):
return 10 ** (db / 20)
def apply_band_filter(data, sample_rate, low_frequency=10, high_frequency=20000):
nyquist = 0.5 * sample_rate
low_cutoff = low_frequency / nyquist
high_cutoff = high_frequency / nyquist
b, a = butter(5, [low_cutoff, high_cutoff], btype="band", analog=False)
filtered_data = lfilter(b, a, data)
return filtered_data
def low_pass_filter(data, sample_rate, cutoff_freq):
nyquist = 0.5 * sample_rate
normal_cutoff = cutoff_freq / nyquist
b, a = butter(5, normal_cutoff, btype="low", analog=False)
filtered_data = lfilter(b, a, data)
return filtered_data
def peaking_eq_filter(data, sample_rate, center_freq, gain_db, q=1.0):
if abs(gain_db) < 0.01:
return data
nyquist = sample_rate / 2
clamped_freq = max(20.0, min(float(center_freq), nyquist - 1))
omega = 2 * math.pi * clamped_freq / sample_rate
alpha = math.sin(omega) / (2 * q)
amplitude = math.pow(10, gain_db / 40.0)
cos_omega = math.cos(omega)
b0 = 1 + alpha * amplitude
b1 = -2 * cos_omega
b2 = 1 - alpha * amplitude
a0 = 1 + alpha / amplitude
a1 = -2 * cos_omega
a2 = 1 - alpha / amplitude
b = np.array([b0 / a0, b1 / a0, b2 / a0], dtype=np.float64)
a = np.array([1.0, a1 / a0, a2 / a0], dtype=np.float64)
return lfilter(b, a, data)
def apply_graphic_equalizer(data, sample_rate, eq_settings):
if not eq_settings or not eq_settings.get("enabled", False):
return data
bands = eq_settings.get("bands", {})
if not bands:
return data
ordered_bands = sorted((float(freq), float(gain)) for freq, gain in bands.items())
equalized = data.astype(np.float64)
for index, (center_freq, gain_db) in enumerate(ordered_bands):
lower_freq = ordered_bands[index - 1][0] if index > 0 else center_freq / 2
upper_freq = ordered_bands[index + 1][0] if index < len(ordered_bands) - 1 else center_freq * 2
bandwidth = max(1.0, upper_freq - lower_freq)
q = max(0.35, center_freq / bandwidth)
equalized = peaking_eq_filter(equalized, sample_rate, center_freq, gain_db, q=q)
peak = np.max(np.abs(equalized)) if len(equalized) else 0
if peak > 32767:
equalized = equalized * (32767.0 / peak)
return np.clip(equalized, -32768, 32767).astype(np.int16)
oimage = None
def make_wave(pcm_data, sample_rate):
global oimage
global_canvas = global_vars.wave_canvas
plt.figure(figsize=(15, 5))
step = 10
times = np.linspace(0, len(pcm_data) / sample_rate, num=len(pcm_data))[::step]
pcm_data_reduced = pcm_data[::step]
plt.plot(times, pcm_data_reduced)
plt.axis("off")
plt.subplots_adjust(left=0, right=1)
plt.xlim(times[0], times[-1])
plt.ylim(-33000, 33000)
buf = BytesIO()
plt.savefig(buf, format="png")
buf.seek(0)
img = Image.open(buf)
canvas_width = global_canvas.winfo_width()
canvas_height = global_canvas.winfo_height()
img = img.resize((canvas_width, canvas_height))
global_vars.canvas_image = img
with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as tmpfile:
temp_filename = tmpfile.name
img.save(temp_filename)
buf.close()
plt.clf()
plt.close()
global_vars.wave_queue.put(temp_filename)
def get_loudness_from_file(file):
audio_segment = decode_mp3_to_pcm(file)
sample_rate = audio_segment.frame_rate
pcm_data = np.array(audio_segment.get_array_of_samples(), dtype=np.int16)
loudness = get_loudness(pcm_data, sample_rate)
return loudness
def detect_silence_start_end_from_file(file, min_silence_len, silence_tresh):
audio_segment = decode_mp3_to_pcm(file)
return utils.detect_silence_start_end(audio_segment, min_silence_len, silence_tresh)
def play_from_file(
file,
pos=0,
normalize_volume=True,
low_frequency=10,
high_frequency=20000,
eq_settings=None,
song_id=None,
files=None,
):
global tmp_files
global current_volume
global loudnes_correction
global current_duration
global start_pos
start_time = time.time()
num_channels = 2
sample_width = 2
audio_segment = decode_mp3_to_pcm(file)
data = files[song_id]
if len(data) > 2:
start_cut = data[3]
end_cut = data[4]
else:
print("Extra cut for file:", file)
start_cut, end_cut = utils.detect_silence_start_end(audio_segment, 200, -56)
print("Cut: ", start_cut, end_cut)
audio_segment = audio_segment[start_cut:end_cut]
sample_rate = audio_segment.frame_rate
pcm_data = np.array(audio_segment.get_array_of_samples(), dtype=np.int16)
def worker():
make_wave(pcm_data, sample_rate)
thread = threading.Thread(target=worker, daemon=True)
thread.start()
left_channel = pcm_data[0::2]
right_channel = pcm_data[1::2]
filtered_left = low_pass_filter(left_channel, sample_rate, high_frequency)
filtered_right = low_pass_filter(right_channel, sample_rate, high_frequency)
filtered_left = apply_graphic_equalizer(filtered_left, sample_rate, eq_settings)
filtered_right = apply_graphic_equalizer(filtered_right, sample_rate, eq_settings)
filtered_audio = np.empty(
(filtered_left.size + filtered_right.size,), dtype=np.int16
)
filtered_audio[0::2] = filtered_left
filtered_audio[1::2] = filtered_right
if normalize_volume:
data = files[song_id]
if len(data) > 2:
l = data[2]
else:
print("Extra loudness for file:", file)
l = get_loudness(pcm_data, sample_rate)
target_lufs = -20
difference = target_lufs - l
scaling_factor = 10 ** (difference / 20.0)
new_volume = scaling_factor * current_volume
if new_volume > 1:
new_volume = 1
loudnes_correction = scaling_factor
print("Volume:", current_volume, new_volume, scaling_factor, l)
pygame.mixer.music.set_volume(new_volume)
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_file:
temp_file_path = temp_file.name
with wave.open(temp_file, "wb") as output_wav:
output_wav.setnchannels(num_channels) # Stereo
output_wav.setsampwidth(sample_width) # 16-bitowe dane
output_wav.setframerate(sample_rate)
trim_audio = filtered_audio.tobytes()
output_wav.writeframes(trim_audio)
audio_length_in_bytes = len(trim_audio)
duration_seconds = audio_length_in_bytes / (
sample_rate * num_channels * sample_width
)
pygame.mixer.music.load(temp_file_path)
end_time = time.time()
delete_tmp_files()
tmp_files.append(temp_file_path)
current_duration = duration_seconds
start_pos = start_pos + pos
pos = pos / 1000
fade_time = 0
if pos > 0:
fade_time = config.fade_time
pygame.mixer.music.play(fade_ms=fade_time, start=pos)
print(f"Encoding time: {end_time - start_time:.4f} s")
return duration_seconds
def extract_h_value(input_string, default_value=20000):
match = re.search(r"h:(\d+)", input_string.lower())
if match:
return int(match.group(1))
else:
return default_value
def play_from_list(song_id, songs, pos=0):
if song_id is not None:
file = songs[song_id][0]
tags = songs[song_id][1]
genre = tags.get("genre", "")
comment = ""
if "comment" in tags.keys():
comment = tags["comment"]
high_frequency = extract_h_value(comment)
eq_settings = config.get_genre_equalizer_settings(genre)
print("High frequency: ", high_frequency)
print("Genre EQ:", genre, eq_settings)
try:
play_from_file(
file,
pos=pos,
normalize_volume=True,
low_frequency=10,
high_frequency=high_frequency,
eq_settings=eq_settings,
song_id=song_id,
files=songs,
)
except Exception as e:
print("Error: ", str(e))
print("Playing: ", song_id, file)
def get_busy():
if not is_initialized():
return False
return pygame.mixer.music.get_busy()