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wechat2mp3.py
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wechat2mp3.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import argparse
import subprocess
import datetime
def is_silk_file(file_path):
input_file = open(file_path, 'rb')
header = input_file.read(10)
silk_header = b'#!SILK_V3'
input_file.close()
return header[1:] == silk_header
def convert_amr_file(input_dir, input_file_name, output_dir):
# These files are AMR files without the AMR header,
# so they can be converted by just adding the AMR file header
# and then converting from AMR to WAV.
input_file_path = os.path.join(input_dir, input_file_name);
input_file = open(input_file_path, 'rb')
intermediate_file_name = input_file_name.replace(".aud", ".amr")
intermediate_file_path = os.path.join(output_dir, intermediate_file_name)
intermediate_file = open(intermediate_file_path, 'wb')
header_file_path = "amr_header/amr_header.bin"
header_file = open(header_file_path, 'rb')
intermediate_file.write(header_file.read() + input_file.read())
input_file.close()
intermediate_file.close()
header_file.close()
wav_output_file_name = input_file_name.replace(".aud", ".wav")
wav_output_file_path = os.path.join(output_dir, wav_output_file_name)
mp3_output_file_name = input_file_name.replace(".aud", ".mp3")
mp3_output_file_path = os.path.join(output_dir, wav_output_file_name)
black_hole_file = open("black_hole", "w")
subprocess.call(["ffmpeg", "-i", intermediate_file_path, wav_output_file_path],
stdout=black_hole_file, stderr=black_hole_file)
subprocess.call(["ffmpeg", "-i", wav_output_file_path, "-f", "mp2", mp3_output_file_path],
stdout=black_hole_file, stderr=black_hole_file)
black_hole_file.close()
# Delete the junk files
os.remove("black_hole")
os.remove(intermediate_file_path)
def convert_silk_file(input_dir, input_file_name, decoder_file_path, output_dir):
# These files are encoded with the SILK codec, originally developed by Skype. They can be
# converted by stripping out the first byte and then using the SILK decoder.
input_file_path = os.path.join(input_dir, input_file_name);
input_file = open(input_file_path, 'rb')
intermediate_file_1_name = input_file_name.replace(".aud", ".silk")
intermediate_file_1_path = os.path.join(output_dir, intermediate_file_1_name)
intermediate_file_1 = open(intermediate_file_1_path, 'wb')
# WeChat adds a single extra byte before their SILK files. We need to strip it out.
intermediate_file_1.write(input_file.read()[1:])
input_file.close()
intermediate_file_1.close()
intermediate_file_2_name = input_file_name.replace(".aud", ".pcm")
intermediate_file_2_path = os.path.join(output_dir, intermediate_file_2_name)
intermediate_file_2 = open(intermediate_file_2_path, 'wb')
intermediate_file_3_name = input_file_name.replace(".aud", ".wav")
intermediate_file_3_path = os.path.join(output_dir, intermediate_file_3_name)
mp3_output_file_name = input_file_name.replace(".aud", ".mp3")
mp3_output_file_path = os.path.join(output_dir, mp3_output_file_name)
black_hole_file = open("black_hole", "w")
# Use the SILK decoder to convert it to PCM
subprocess.call([decoder_file_path, intermediate_file_1_path, intermediate_file_2_path],
stdout=black_hole_file, stderr=black_hole_file)
# And then ffmpeg to convert that to wav
subprocess.call(["ffmpeg", "-f", "s16le", "-ar", "24000",
"-i", intermediate_file_2_path, intermediate_file_3_path],
stdout=black_hole_file, stderr=black_hole_file)
# And then ffmpeg to convert to MP3
subprocess.call(["ffmpeg", "-i", intermediate_file_3_path,
"-f", "mp2", mp3_output_file_path],
stdout=black_hole_file, stderr=black_hole_file)
black_hole_file.close()
intermediate_file_2.close()
# Delete the junk files
os.remove("black_hole")
os.remove(intermediate_file_1_path)
os.remove(intermediate_file_2_path)
os.remove(intermediate_file_3_path)
class Main(argparse.Action):
def __call__(self, parser, namespace, values, option_string=None):
audio_src = values
now = datetime.datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
converted = now + "_converted"
os.mkdir(converted)
try:
# Decide which one of these are AMR files and which are SILK, and then convert.
for dirname, dirnames, filenames in os.walk(audio_src):
for filename in filenames:
if filename[0] == '.': continue
input_path = os.path.join(dirname, filename)
if (is_silk_file(input_path)):
convert_silk_file(dirname, filename, namespace.silk_decoder, converted)
else:
convert_amr_file(dirname, filename, converted)
print("Done!")
except:
print("Something went wrong converting the audio files.\n"
"Common problems:\n"
"You may be missing the dependencies (ffmpeg and/or the SILK codec decoder).\n"
"The decoder (and its dependencies) must be in the specified path.\n"
"The SILK codec decoder also can't handle very large file paths.\n"
"Try a shorter path to your input directory.")
parser = argparse.ArgumentParser(description=".aud converter: convert wechat .aud files into .wav",
epilog="This script is an open source tool under the GNU GPLv3 license. Uses content "\
"modified from a tool originally for DEFT 8.")
parser.add_argument("Folder", action=Main, help=".aud files root folder.")
parser.add_argument("-s", "--silk-decoder", nargs="?", default="./decoder",
help="Path to the SILK codec decoder program.")
args = parser.parse_args()