Spaces:
AIMan2001
/
Runtime error

RVC_HF / utils /backups_test.py
r3gm's picture
Upload 6 files
e4dccaf
raw
history blame
6.67 kB
import os
import shutil
import hashlib
import time
LOGS_FOLDER = '/content/Applio-RVC-Fork/logs'
WEIGHTS_FOLDER = '/content/Applio-RVC-Fork/weights'
GOOGLE_DRIVE_PATH = '/content/drive/MyDrive/RVC_Backup'
def import_google_drive_backup():
print("Importing Google Drive backup...")
GOOGLE_DRIVE_PATH = '/content/drive/MyDrive/RVC_Backup' # change this to your Google Drive path
LOGS_FOLDER = '/content/Applio-RVC-Fork/logs'
WEIGHTS_FOLDER = '/content/Applio-RVC-Fork/weights'
weights_exist = False
files_to_copy = []
weights_to_copy = []
def handle_files(root, files, is_weight_files=False):
for filename in files:
filepath = os.path.join(root, filename)
if filename.endswith('.pth') and is_weight_files:
weights_exist = True
backup_filepath = os.path.join(WEIGHTS_FOLDER, os.path.relpath(filepath, GOOGLE_DRIVE_PATH))
else:
backup_filepath = os.path.join(LOGS_FOLDER, os.path.relpath(filepath, GOOGLE_DRIVE_PATH))
backup_folderpath = os.path.dirname(backup_filepath)
if not os.path.exists(backup_folderpath):
os.makedirs(backup_folderpath)
print(f'Created folder: {backup_folderpath}', flush=True)
if is_weight_files:
weights_to_copy.append((filepath, backup_filepath))
else:
files_to_copy.append((filepath, backup_filepath))
for root, dirs, files in os.walk(os.path.join(GOOGLE_DRIVE_PATH, 'logs')):
handle_files(root, files)
for root, dirs, files in os.walk(os.path.join(GOOGLE_DRIVE_PATH, 'weights')):
handle_files(root, files, True)
# Copy files in batches
total_files = len(files_to_copy)
start_time = time.time()
for i, (source, dest) in enumerate(files_to_copy, start=1):
with open(source, 'rb') as src, open(dest, 'wb') as dst:
shutil.copyfileobj(src, dst, 1024*1024) # 1MB buffer size
# Report progress every 5 seconds or after every 100 files, whichever is less frequent
if time.time() - start_time > 5 or i % 100 == 0:
print(f'\rCopying file {i} of {total_files} ({i * 100 / total_files:.2f}%)', end="")
start_time = time.time()
print(f'\nImported {len(files_to_copy)} files from Google Drive backup')
# Copy weights in batches
total_weights = len(weights_to_copy)
start_time = time.time()
for i, (source, dest) in enumerate(weights_to_copy, start=1):
with open(source, 'rb') as src, open(dest, 'wb') as dst:
shutil.copyfileobj(src, dst, 1024*1024) # 1MB buffer size
# Report progress every 5 seconds or after every 100 files, whichever is less frequent
if time.time() - start_time > 5 or i % 100 == 0:
print(f'\rCopying weight file {i} of {total_weights} ({i * 100 / total_weights:.2f}%)', end="")
start_time = time.time()
if weights_exist:
print(f'\nImported {len(weights_to_copy)} weight files')
print("Copied weights from Google Drive backup to local weights folder.")
else:
print("\nNo weights found in Google Drive backup.")
print("Google Drive backup import completed.")
def backup_files():
print("\n Starting backup loop...")
last_backup_timestamps_path = os.path.join(LOGS_FOLDER, 'last_backup_timestamps.txt')
fully_updated = False # boolean to track if all files are up to date
try:
with open(last_backup_timestamps_path, 'r') as f:
last_backup_timestamps = dict(line.strip().split(':') for line in f)
except:
last_backup_timestamps = {}
while True:
updated = False
files_to_copy = []
files_to_delete = []
for root, dirs, files in os.walk(LOGS_FOLDER):
for filename in files:
if filename != 'last_backup_timestamps.txt':
filepath = os.path.join(root, filename)
if os.path.isfile(filepath):
backup_filepath = os.path.join(GOOGLE_DRIVE_PATH, os.path.relpath(filepath, LOGS_FOLDER))
backup_folderpath = os.path.dirname(backup_filepath)
if not os.path.exists(backup_folderpath):
os.makedirs(backup_folderpath)
print(f'Created backup folder: {backup_folderpath}', flush=True)
# check if file has changed since last backup
last_backup_timestamp = last_backup_timestamps.get(filepath)
current_timestamp = os.path.getmtime(filepath)
if last_backup_timestamp is None or float(last_backup_timestamp) < current_timestamp:
files_to_copy.append((filepath, backup_filepath)) # add to list of files to copy
last_backup_timestamps[filepath] = str(current_timestamp) # update last backup timestamp
updated = True
fully_updated = False # if a file is updated, all files are not up to date
# check if any files were deleted in Colab and delete them from the backup drive
for filepath in list(last_backup_timestamps.keys()):
if not os.path.exists(filepath):
backup_filepath = os.path.join(GOOGLE_DRIVE_PATH, os.path.relpath(filepath, LOGS_FOLDER))
if os.path.exists(backup_filepath):
files_to_delete.append(backup_filepath) # add to list of files to delete
del last_backup_timestamps[filepath]
updated = True
fully_updated = False # if a file is deleted, all files are not up to date
# Copy files in batches
if files_to_copy:
for source, dest in files_to_copy:
shutil.copy2(source, dest)
print(f'Copied or updated {len(files_to_copy)} files')
# Delete files in batches
if files_to_delete:
for file in files_to_delete:
os.remove(file)
print(f'Deleted {len(files_to_delete)} files')
if not updated and not fully_updated:
print("Files are up to date.")
fully_updated = True # if all files are up to date, set the boolean to True
copy_weights_folder_to_drive()
with open(last_backup_timestamps_path, 'w') as f:
for filepath, timestamp in last_backup_timestamps.items():
f.write(f'{filepath}:{timestamp}\n')
time.sleep(15) # wait for 15 seconds before checking again