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LAI-2814 #4

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185 changes: 177 additions & 8 deletions tools/api/lalalai_splitter.py
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Original file line number Diff line number Diff line change
@@ -1,17 +1,17 @@
#!/usr/bin/python3

# Copyright (c) 2021 LALAL.AI
#
# Copyright (c) 2023 LALAL.AI
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
Expand All @@ -26,10 +26,12 @@
import os
import sys
import time
from argparse import ArgumentParser
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from urllib.parse import quote, unquote, urlencode
from urllib.request import urlopen, Request
import logging

logging.basicConfig(level=logging.INFO)

CURRENT_DIR_PATH = os.path.dirname(os.path.realpath(__file__))
URL_API = "https://www.lalal.ai/api/"
Expand All @@ -55,12 +57,18 @@ def make_content_disposition(filename, disposition='attachment'):


def upload_file(file_path, license):

if not os.path.isfile(file_path):
raise FileNotFoundError(f"The file at {file_path} does not exist")

url_for_upload = URL_API + "upload/"
_, filename = os.path.split(file_path)

headers = {
"Content-Disposition": make_content_disposition(filename),
"Authorization": f"license {license}",
}

with open(file_path, 'rb') as f:
request = Request(url_for_upload, f, headers)
with urlopen(request) as response:
Expand All @@ -72,10 +80,12 @@ def upload_file(file_path, license):


def split_file(file_id, license, stem, filter_type, splitter):
print(f"Split file {file_id}")
url_for_split = URL_API + "split/"
headers = {
"Authorization": f"license {license}",
}

query_args = {'id': file_id, 'stem': stem, 'filter': filter_type, 'splitter': splitter}
encoded_args = urlencode(query_args).encode('utf-8')
request = Request(url_for_split, encoded_args, headers=headers)
Expand All @@ -85,6 +95,25 @@ def split_file(file_id, license, stem, filter_type, splitter):
raise RuntimeError(split_result["error"])


def batch_split_files(files_ids, license, stem, filter_type, splitter):
print(f"split multiple files {files_ids}")
url_for_split = URL_API + "split/"
headers = {
"Authorization": f"license {license}",
}
query_array = []
for file_id in files_ids:
query_array.append({"id": file_id, "stem": stem, "filter": filter_type, "splitter": splitter})

query_args = {"params":json.dumps(query_array)}
encoded_args = urlencode(query_args).encode('utf-8')
request = Request(url_for_split, encoded_args, headers=headers)
with urlopen(request) as response:
split_result = json.load(response)
if split_result["status"] == "error":
raise RuntimeError(split_result["error"])


def check_file(file_id):
url_for_check = URL_API + "check/?"
query_args = {'id': file_id}
Expand Down Expand Up @@ -177,8 +206,136 @@ def batch_process(license, input_path, output_path, stem, filter_type, splitter)
batch_process_for_file(license, path, output_path, stem, filter_type, splitter)


def main():
parser = ArgumentParser(description='Lalalai splitter')
def check_multiple_files(check_list, license):
url_for_check = URL_API + "check/"
headers = {
"Authorization": f"license {license}",
}

query_args = {'id': ",".join(check_list.keys())}
encoded_args = urlencode(query_args).encode('utf-8')

request = Request(url_for_check, encoded_args, headers=headers)

with urlopen(request) as response:
check_result = json.load(response)

if check_result["status"] == "error":
raise RuntimeError(check_result["error"])

for file_id, file_result in check_result["result"].items():
if file_id not in check_list:
continue
try:
task_state = file_result["task"]["state"]
if task_state == "error":
print(f"Error for file {file_id}")
check_list[file_id]["state"] = "error"
check_list[file_id]["finished"] = True

if task_state == "success":
if not check_list[file_id]["finished"]:
print(f"Progress: 100% for file {file_id}")
check_list[file_id]["end_time"] = time.perf_counter()
check_list[file_id]["state"] = "success"
check_list[file_id]["finished"] = True
check_list[file_id]["stem_track_url"] = file_result["split"]["stem_track"]
check_list[file_id]["back_track_url"] = file_result["split"]["back_track"]
check_list[file_id]["duration"] = file_result["split"]["duration"]
except:
check_list[file_id]["state"] = "error"
check_list[file_id]["message"] = "unexpected error"
pass


def batch_check(batch_status, license):
while True:
check_multiple_files(batch_status, license)
not_finished = False
for _, value in batch_status.items():
if not value["finished"]:
not_finished = True

if not not_finished:
break

time.sleep(1)

print("All files done")
total_duration = 0.0
max_time = 0.0
for key, value in batch_status.items():
if value["finished"] == True:
elapsed_time_ms = value["end_time"] - value["start_time"]
total_duration = total_duration + value["duration"]
if elapsed_time_ms > max_time:
max_time = elapsed_time_ms
speed = elapsed_time_ms / value["duration"]
print(f'time for item {key}: {elapsed_time_ms:.2f} sec, duration {value["duration"]}: speed: {speed:.4f}')

print(f'max process time: {max_time}, total_duration: {total_duration}, avg speed: {max_time/total_duration if total_duration > 0 else "undef"}')


def download_track(track_url, output_path, track_type):
logging.info(f'Downloading the {track_type} "{track_url}"...')
downloaded_file = download_file(track_url, output_path)
logging.info(f'The {track_type} has been downloaded to "{downloaded_file}"')


def batch_download(batch_status, output_path):
for _, value in batch_status.items():
stem_track_url = value.get("stem_track_url")
back_track_url = value.get("back_track_url")

if stem_track_url:
try:
download_track(stem_track_url, output_path, "stem track file")
except Exception as e:
logging.error(f"Failed to download stem track from {stem_track_url}. Error: {e}")

if back_track_url:
try:
download_track(back_track_url, output_path, "back track file")
except Exception as e:
logging.error(f"Failed to download back track from {back_track_url}. Error: {e}")


def batch_split_async(license, input_files_ids, output_path, stem, filter_type, splitter):
batch_status = dict()
batch_split_files(input_files_ids, license, stem, filter_type, splitter)
for file_id in input_files_ids:
batch_status[file_id] = {"start_time":time.perf_counter(), "finished": False }

batch_check(batch_status, license)
batch_download(batch_status, output_path)


def upload_and_get_file_id(file_path, license):
print(f'Uploading the file "{file_path}"...')
file_id = upload_file(file_path=file_path, license=license)
print(f'The file "{file_path}" has been successfully uploaded (file id: {file_id})')
return file_id


def batch_process_async(license, input_path, output_path, stem, filter_type, splitter):
if os.path.isfile(input_path):
batch_process_for_file(license, input_path, output_path, stem, filter_type, splitter)
return

files_in_dir = [os.path.join(input_path, file) for file in os.listdir(input_path) if os.path.isfile(os.path.join(input_path, file))]
files_ids = []

for file_path in files_in_dir:
try:
file_id = upload_and_get_file_id(file_path, license)
files_ids.append(file_id)
except Exception as err:
print(f'Cannot upload the file "{file_path}": {err}')

batch_split_async(license, files_ids, output_path, stem, filter_type, splitter)

def create_parser():
parser = ArgumentParser(description='Lalalai splitter', formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument('--license', type=str, required=True, help='License key')
parser.add_argument('--input', type=str, required=True, help='Input directory or a file')
parser.add_argument('--output', type=str, default=CURRENT_DIR_PATH, help='Output directory')
Expand All @@ -189,10 +346,22 @@ def main():
parser.add_argument('--splitter', type=str, default='phoenix', choices=['orion', 'phoenix'],
help='Neural network selection option. Currently, the "Orion" neural network only supports the stems "vocal" and "voice".')

parser.add_argument('--asyncmode', action='store_true', help="batch mode")

return parser


def main():
parser = create_parser()
args = parser.parse_args()

os.makedirs(args.output, exist_ok=True)
batch_process(args.license, args.input, args.output, args.stem, args.filter, args.splitter)

if not args.asyncmode:
batch_process(args.license, args.input, args.output, args.stem, args.filter, args.splitter)
else:
print("Batch mode")
batch_process_async(args.license, args.input, args.output, args.stem, args.filter, args.splitter)


if __name__ == '__main__':
Expand Down