VoucherVision / vouchervision /fetch_data.py
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from __future__ import annotations
import os, yaml, shutil
from io import BytesIO
from urllib.request import urlopen
from zipfile import ZipFile
import urllib.request
from tqdm import tqdm
import subprocess
VERSION = 'v-2-1'
def fetch_data(logger, dir_home, cfg_file_path):
logger.name = 'Fetch Data'
ready_to_use = False
do_fetch = True
current = ''.join(['release_', VERSION])
# Make sure weights are present
if os.path.isfile(os.path.join(dir_home,'bin','version.yml')):
ver = load_version(dir_home)
if ver['version'] == VERSION:
if current in os.listdir(os.path.join(dir_home,'bin')): # The release dir is present
do_fetch = False
ready_to_use = True
logger.warning(f"Version file --- {os.path.join(dir_home,'bin','version.yml')}")
logger.warning(f"Current version --- {ver['version']}")
logger.warning(f"Last updated --- {ver['last_update']}")
else: # right version, no release dir yet
do_fetch = True
logger.warning(f"--------------------------------")
logger.warning(f" Downloading data files... ")
logger.warning(f"--------------------------------")
logger.warning(f"Version file --- {os.path.join(dir_home,'bin','version.yml')}")
logger.warning(f"Current version --- {ver['version']}")
logger.warning(f"Last updated --- {ver['last_update']}")
else:
do_fetch = True
logger.warning(f"--------------------------------")
logger.warning(f" Out of date... ")
logger.warning(f" Downloading data files... ")
logger.warning(f"--------------------------------")
logger.warning(f"Version file --- {os.path.join(dir_home,'bin','version.yml')}")
logger.warning(f"Current version --- {ver['version']}")
logger.warning(f"Last updated --- {ver['last_update']}")
else:
do_fetch = True
logger.warning(f"--------------------------------")
logger.warning(f" Missing version.yml... ")
logger.warning(f" Downloading data files... ")
logger.warning(f"--------------------------------")
logger.warning(f"Version file --- {os.path.join(dir_home,'bin','version.yml')}")
logger.warning(f"Current version --- {ver['version']}")
logger.warning(f"Last updated --- {ver['last_update']}")
if do_fetch:
logger.warning(f"Fetching files for version --> {ver['version']}")
path_release = get_weights(dir_home, current, logger)
if path_release is not None:
logger.warning(f"Data download successful. Unzipping...")
move_data_to_home(path_release, dir_home, logger)
ready_to_use = True
logger.warning(f"--------------------------------")
logger.warning(f" LeafMachine2 is up to date ")
logger.warning(f"--------------------------------")
else:
logger.warning(f"--------------------------------")
logger.warning(f" LeafMachine2 is up to date ")
logger.warning(f"--------------------------------")
return ready_to_use
def get_weights(dir_home, current, logger):
try:
path_zip = os.path.join(dir_home,'bin',current)
zipurl = ''.join(['https://leafmachine.org/LM2/', current,'.zip'])
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}
req = urllib.request.Request(url=zipurl, headers=headers)
# Get the file size from the Content-Length header
with urllib.request.urlopen(req) as url_response:
file_size = int(url_response.headers['Content-Length'])
# Download the ZIP file from the URL with progress bar
with tqdm(unit='B', unit_scale=True, unit_divisor=1024, total=file_size) as pbar:
with urllib.request.urlopen(req) as url_response:
with open(current + '.zip', 'wb') as file:
while True:
chunk = url_response.read(4096)
if not chunk:
break
file.write(chunk)
pbar.update(len(chunk))
# Extract the contents of the ZIP file to the current directory
zipfilename = current + '.zip'
with ZipFile(zipfilename, 'r') as zip_file:
zip_file.extractall(os.path.join(dir_home,'bin'))
print(f"{bcolors.CGREENBG2}Data extracted to {path_zip}{bcolors.ENDC}")
logger.warning(f"Data extracted to {path_zip}")
return path_zip
except Exception as e:
print(f"{bcolors.CREDBG2}ERROR --- Could not download or extract machine learning models\n{e}{bcolors.ENDC}")
logger.warning(f"ERROR --- Could not download or extract machine learning models")
logger.warning(f"ERROR --- {e}")
return None
def load_version(dir_home):
try:
with open(os.path.join(dir_home,'bin',"version.yml"), "r") as ymlfile:
ver = yaml.full_load(ymlfile)
except:
with open(os.path.join(os.path.dirname(os.path.dirname(dir_home)),'bin',"version.yml"), "r") as ymlfile:
ver = yaml.full_load(ymlfile)
return ver
def move_data_to_home(path_release, dir_home, logger):
path_list_file = os.path.join(path_release, 'path_list.yml')
with open(path_list_file, 'r') as file:
path_list = yaml.safe_load(file)
paths = {
'path_ruler_classifier': os.path.join(dir_home, *path_list['path_ruler_classifier'].split('___')),
'path_ruler_binary_classifier': os.path.join(dir_home, *path_list['path_ruler_binary_classifier'].split('___')),
'path_ruler_classifier_binary_classes': os.path.join(dir_home, *path_list['path_ruler_classifier_binary_classes'].split('___')),
'path_ruler_classifier_ruler_classes': os.path.join(dir_home, *path_list['path_ruler_classifier_ruler_classes'].split('___')),
'path_DocEnTR': os.path.join(dir_home, *path_list['path_DocEnTR'].split('___')),
'path_ACD': os.path.join(dir_home, *path_list['path_ACD'].split('___')),
'path_PCD': os.path.join(dir_home, *path_list['path_PCD'].split('___')),
'path_landmarks': os.path.join(dir_home, *path_list['path_landmarks'].split('___')),
'path_YOLO': os.path.join(dir_home, *path_list['path_YOLO'].split('___')),
'path_segment': os.path.join(dir_home, *path_list['path_segment'].split('___')),
}
### Ruler classifier
source_file = os.path.join(path_release, 'ruler_classifier', 'ruler_classifier_38classes_v-1.pt')
destination_dir = paths['path_ruler_classifier']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
source_file = os.path.join(path_release, 'ruler_classifier', 'model_scripted_resnet_720_withCompression.pt')
destination_dir = paths['path_ruler_binary_classifier']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
source_file = os.path.join(path_release, 'ruler_classifier', 'binary_classes.txt')
destination_dir = paths['path_ruler_classifier_binary_classes']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
source_file = os.path.join(path_release, 'ruler_classifier', 'ruler_classes.txt')
destination_dir = paths['path_ruler_classifier_ruler_classes']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
### Ruler segmentation
source_file = os.path.join(path_release, 'ruler_segment', 'small_256_8__epoch-10.pt')
destination_dir = paths['path_DocEnTR']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
### ACD
source_file = os.path.join(path_release, 'acd', 'best.pt')
destination_dir = paths['path_ACD']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
### PCD
source_file = os.path.join(path_release, 'pcd', 'best.pt')
destination_dir = paths['path_PCD']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
### Landmarks
source_file = os.path.join(path_release, 'landmarks', 'best.pt')
destination_dir = paths['path_landmarks']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
### YOLO
source_file = os.path.join(path_release, 'YOLO', 'yolov5x6.pt')
destination_dir = paths['path_YOLO']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
### Segmentation
source_file = os.path.join(path_release, 'segmentation', 'model_final.pth')
destination_dir = paths['path_segment']
os.makedirs(destination_dir, exist_ok=True)
try_move(logger, source_file, destination_dir )
def git_pull_no_clean():
# Define the git command to run
git_cmd = ['git', 'pull', '--no-clean']
# Run the git command using subprocess
result = subprocess.run(git_cmd, capture_output=True, text=True)
# Check if the command was successful
if result.returncode == 0:
print(result.stdout)
else:
print(result.stderr)
def try_move(logger, source_file, destination_dir ):
try:
# Try to move the file using shutil.move()
shutil.move(source_file, destination_dir, copy_function=shutil.copy2)
logger.warning(f"{source_file}\nmoved to\n{destination_dir}")
print(f"{source_file}\nmoved to\n{destination_dir}")
except FileExistsError:
# If the file already exists in the destination directory, skip it
logger.warning(f"Already exists in\n{destination_dir}.\nSkipping...")
print(f"Already exists in\n{destination_dir}.\nSkipping...")
pass
except Exception as e:
# Catch any other exceptions that might occur
logger.warning(f"[ERROR] occurred while moving:\n{source_file}:\n{str(e)}")
print(f"ERROR occurred while moving:\n{source_file}:\n{str(e)}")
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN = '\033[96m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
CGREENBG2 = '\33[102m'
CREDBG2 = '\33[101m'
CWHITEBG2 = '\33[107m'
if __name__ == '__main__':
git_pull_no_clean()