# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import sys import os.path as osp import shutil import requests import hashlib import tarfile import zipfile import time from collections import OrderedDict from tqdm import tqdm from ppcls.utils import logger __all__ = ['get_weights_path_from_url'] WEIGHTS_HOME = osp.expanduser("~/.paddleclas/weights") DOWNLOAD_RETRY_LIMIT = 3 def is_url(path): """ Whether path is URL. Args: path (string): URL string or not. """ return path.startswith('http://') or path.startswith('https://') def get_weights_path_from_url(url, md5sum=None): """Get weights path from WEIGHT_HOME, if not exists, download it from url. Args: url (str): download url md5sum (str): md5 sum of download package Returns: str: a local path to save downloaded weights. Examples: .. code-block:: python from paddle.utils.download import get_weights_path_from_url resnet18_pretrained_weight_url = 'https://paddle-hapi.bj.bcebos.com/models/resnet18.pdparams' local_weight_path = get_weights_path_from_url(resnet18_pretrained_weight_url) """ path = get_path_from_url(url, WEIGHTS_HOME, md5sum) return path def _map_path(url, root_dir): # parse path after download under root_dir fname = osp.split(url)[-1] fpath = fname return osp.join(root_dir, fpath) def get_path_from_url(url, root_dir, md5sum=None, check_exist=True, decompress=True): """ Download from given url to root_dir. if file or directory specified by url is exists under root_dir, return the path directly, otherwise download from url and decompress it, return the path. Args: url (str): download url root_dir (str): root dir for downloading, it should be WEIGHTS_HOME or DATASET_HOME md5sum (str): md5 sum of download package Returns: str: a local path to save downloaded models & weights & datasets. """ from paddle.distributed import ParallelEnv assert is_url(url), "downloading from {} not a url".format(url) # parse path after download to decompress under root_dir fullpath = _map_path(url, root_dir) # Mainly used to solve the problem of downloading data from different # machines in the case of multiple machines. Different nodes will download # data, and the same node will only download data once. rank_id_curr_node = int(os.environ.get("PADDLE_RANK_IN_NODE", 0)) if osp.exists(fullpath) and check_exist and _md5check(fullpath, md5sum): logger.info("Found {}".format(fullpath)) else: if rank_id_curr_node == 0: fullpath = _download(url, root_dir, md5sum) else: while not os.path.exists(fullpath): time.sleep(1) if rank_id_curr_node == 0: if decompress and (tarfile.is_tarfile(fullpath) or zipfile.is_zipfile(fullpath)): fullpath = _decompress(fullpath) return fullpath def _download(url, path, md5sum=None): """ Download from url, save to path. url (str): download url path (str): download to given path """ if not osp.exists(path): os.makedirs(path) fname = osp.split(url)[-1] fullname = osp.join(path, fname) retry_cnt = 0 while not (osp.exists(fullname) and _md5check(fullname, md5sum)): if retry_cnt < DOWNLOAD_RETRY_LIMIT: retry_cnt += 1 else: raise RuntimeError("Download from {} failed. " "Retry limit reached".format(url)) logger.info("Downloading {} from {}".format(fname, url)) try: req = requests.get(url, stream=True) except Exception as e: # requests.exceptions.ConnectionError logger.info( "Downloading {} from {} failed {} times with exception {}". format(fname, url, retry_cnt + 1, str(e))) time.sleep(1) continue if req.status_code != 200: raise RuntimeError("Downloading from {} failed with code " "{}!".format(url, req.status_code)) # For protecting download interupted, download to # tmp_fullname firstly, move tmp_fullname to fullname # after download finished tmp_fullname = fullname + "_tmp" total_size = req.headers.get('content-length') with open(tmp_fullname, 'wb') as f: if total_size: with tqdm(total=(int(total_size) + 1023) // 1024) as pbar: for chunk in req.iter_content(chunk_size=1024): f.write(chunk) pbar.update(1) else: for chunk in req.iter_content(chunk_size=1024): if chunk: f.write(chunk) shutil.move(tmp_fullname, fullname) return fullname def _md5check(fullname, md5sum=None): if md5sum is None: return True logger.info("File {} md5 checking...".format(fullname)) md5 = hashlib.md5() with open(fullname, 'rb') as f: for chunk in iter(lambda: f.read(4096), b""): md5.update(chunk) calc_md5sum = md5.hexdigest() if calc_md5sum != md5sum: logger.info("File {} md5 check failed, {}(calc) != " "{}(base)".format(fullname, calc_md5sum, md5sum)) return False return True def _decompress(fname): """ Decompress for zip and tar file """ logger.info("Decompressing {}...".format(fname)) # For protecting decompressing interupted, # decompress to fpath_tmp directory firstly, if decompress # successed, move decompress files to fpath and delete # fpath_tmp and remove download compress file. if tarfile.is_tarfile(fname): uncompressed_path = _uncompress_file_tar(fname) elif zipfile.is_zipfile(fname): uncompressed_path = _uncompress_file_zip(fname) else: raise TypeError("Unsupport compress file type {}".format(fname)) return uncompressed_path def _uncompress_file_zip(filepath): files = zipfile.ZipFile(filepath, 'r') file_list = files.namelist() file_dir = os.path.dirname(filepath) if _is_a_single_file(file_list): rootpath = file_list[0] uncompressed_path = os.path.join(file_dir, rootpath) for item in file_list: files.extract(item, file_dir) elif _is_a_single_dir(file_list): rootpath = os.path.splitext(file_list[0])[0].split(os.sep)[-1] uncompressed_path = os.path.join(file_dir, rootpath) for item in file_list: files.extract(item, file_dir) else: rootpath = os.path.splitext(filepath)[0].split(os.sep)[-1] uncompressed_path = os.path.join(file_dir, rootpath) if not os.path.exists(uncompressed_path): os.makedirs(uncompressed_path) for item in file_list: files.extract(item, os.path.join(file_dir, rootpath)) files.close() return uncompressed_path def _uncompress_file_tar(filepath, mode="r:*"): files = tarfile.open(filepath, mode) file_list = files.getnames() file_dir = os.path.dirname(filepath) if _is_a_single_file(file_list): rootpath = file_list[0] uncompressed_path = os.path.join(file_dir, rootpath) for item in file_list: files.extract(item, file_dir) elif _is_a_single_dir(file_list): rootpath = os.path.splitext(file_list[0])[0].split(os.sep)[-1] uncompressed_path = os.path.join(file_dir, rootpath) for item in file_list: files.extract(item, file_dir) else: rootpath = os.path.splitext(filepath)[0].split(os.sep)[-1] uncompressed_path = os.path.join(file_dir, rootpath) if not os.path.exists(uncompressed_path): os.makedirs(uncompressed_path) for item in file_list: files.extract(item, os.path.join(file_dir, rootpath)) files.close() return uncompressed_path def _is_a_single_file(file_list): if len(file_list) == 1 and file_list[0].find(os.sep) < -1: return True return False def _is_a_single_dir(file_list): new_file_list = [] for file_path in file_list: if '/' in file_path: file_path = file_path.replace('/', os.sep) elif '\\' in file_path: file_path = file_path.replace('\\', os.sep) new_file_list.append(file_path) file_name = new_file_list[0].split(os.sep)[0] for i in range(1, len(new_file_list)): if file_name != new_file_list[i].split(os.sep)[0]: return False return True