250 lines
8.1 KiB
Python
250 lines
8.1 KiB
Python
"""
|
|
Utilities for working with the local dataset cache.
|
|
This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp
|
|
Copyright by the AllenNLP authors.
|
|
"""
|
|
from __future__ import (absolute_import, division, print_function, unicode_literals)
|
|
|
|
import json
|
|
import logging
|
|
import os
|
|
import shutil
|
|
import tempfile
|
|
from functools import wraps
|
|
from hashlib import sha256
|
|
import sys
|
|
from io import open
|
|
|
|
import boto3
|
|
import requests
|
|
from botocore.exceptions import ClientError
|
|
from tqdm import tqdm
|
|
|
|
try:
|
|
from urllib.parse import urlparse
|
|
except ImportError:
|
|
from urlparse import urlparse
|
|
|
|
try:
|
|
from pathlib import Path
|
|
PYTORCH_PRETRAINED_BERT_CACHE = Path(os.getenv('PYTORCH_PRETRAINED_BERT_CACHE',
|
|
Path.home() / '.pytorch_pretrained_bert'))
|
|
except AttributeError:
|
|
PYTORCH_PRETRAINED_BERT_CACHE = os.getenv('PYTORCH_PRETRAINED_BERT_CACHE',
|
|
os.path.join(os.path.expanduser("~"), '.pytorch_pretrained_bert'))
|
|
|
|
logger = logging.getLogger(__name__) # pylint: disable=invalid-name
|
|
|
|
|
|
def url_to_filename(url, etag=None):
|
|
"""
|
|
Convert `url` into a hashed filename in a repeatable way.
|
|
If `etag` is specified, append its hash to the url's, delimited
|
|
by a period.
|
|
"""
|
|
url_bytes = url.encode('utf-8')
|
|
url_hash = sha256(url_bytes)
|
|
filename = url_hash.hexdigest()
|
|
|
|
if etag:
|
|
etag_bytes = etag.encode('utf-8')
|
|
etag_hash = sha256(etag_bytes)
|
|
filename += '.' + etag_hash.hexdigest()
|
|
|
|
return filename
|
|
|
|
|
|
def filename_to_url(filename, cache_dir=None):
|
|
"""
|
|
Return the url and etag (which may be ``None``) stored for `filename`.
|
|
Raise ``EnvironmentError`` if `filename` or its stored metadata do not exist.
|
|
"""
|
|
if cache_dir is None:
|
|
cache_dir = PYTORCH_PRETRAINED_BERT_CACHE
|
|
if sys.version_info[0] == 3 and isinstance(cache_dir, Path):
|
|
cache_dir = str(cache_dir)
|
|
|
|
cache_path = os.path.join(cache_dir, filename)
|
|
if not os.path.exists(cache_path):
|
|
raise EnvironmentError("file {} not found".format(cache_path))
|
|
|
|
meta_path = cache_path + '.json'
|
|
if not os.path.exists(meta_path):
|
|
raise EnvironmentError("file {} not found".format(meta_path))
|
|
|
|
with open(meta_path, encoding="utf-8") as meta_file:
|
|
metadata = json.load(meta_file)
|
|
url = metadata['url']
|
|
etag = metadata['etag']
|
|
|
|
return url, etag
|
|
|
|
|
|
def cached_path(url_or_filename, cache_dir=None):
|
|
"""
|
|
Given something that might be a URL (or might be a local path),
|
|
determine which. If it's a URL, download the file and cache it, and
|
|
return the path to the cached file. If it's already a local path,
|
|
make sure the file exists and then return the path.
|
|
"""
|
|
if cache_dir is None:
|
|
cache_dir = PYTORCH_PRETRAINED_BERT_CACHE
|
|
if sys.version_info[0] == 3 and isinstance(url_or_filename, Path):
|
|
url_or_filename = str(url_or_filename)
|
|
if sys.version_info[0] == 3 and isinstance(cache_dir, Path):
|
|
cache_dir = str(cache_dir)
|
|
|
|
parsed = urlparse(url_or_filename)
|
|
|
|
if parsed.scheme in ('http', 'https', 's3'):
|
|
# URL, so get it from the cache (downloading if necessary)
|
|
return get_from_cache(url_or_filename, cache_dir)
|
|
elif os.path.exists(url_or_filename):
|
|
# File, and it exists.
|
|
return url_or_filename
|
|
elif parsed.scheme == '':
|
|
# File, but it doesn't exist.
|
|
raise EnvironmentError("file {} not found".format(url_or_filename))
|
|
else:
|
|
# Something unknown
|
|
raise ValueError("unable to parse {} as a URL or as a local path".format(url_or_filename))
|
|
|
|
|
|
def split_s3_path(url):
|
|
"""Split a full s3 path into the bucket name and path."""
|
|
parsed = urlparse(url)
|
|
if not parsed.netloc or not parsed.path:
|
|
raise ValueError("bad s3 path {}".format(url))
|
|
bucket_name = parsed.netloc
|
|
s3_path = parsed.path
|
|
# Remove '/' at beginning of path.
|
|
if s3_path.startswith("/"):
|
|
s3_path = s3_path[1:]
|
|
return bucket_name, s3_path
|
|
|
|
|
|
def s3_request(func):
|
|
"""
|
|
Wrapper function for s3 requests in order to create more helpful error
|
|
messages.
|
|
"""
|
|
|
|
@wraps(func)
|
|
def wrapper(url, *args, **kwargs):
|
|
try:
|
|
return func(url, *args, **kwargs)
|
|
except ClientError as exc:
|
|
if int(exc.response["Error"]["Code"]) == 404:
|
|
raise EnvironmentError("file {} not found".format(url))
|
|
else:
|
|
raise
|
|
|
|
return wrapper
|
|
|
|
|
|
@s3_request
|
|
def s3_etag(url):
|
|
"""Check ETag on S3 object."""
|
|
s3_resource = boto3.resource("s3")
|
|
bucket_name, s3_path = split_s3_path(url)
|
|
s3_object = s3_resource.Object(bucket_name, s3_path)
|
|
return s3_object.e_tag
|
|
|
|
|
|
@s3_request
|
|
def s3_get(url, temp_file):
|
|
"""Pull a file directly from S3."""
|
|
s3_resource = boto3.resource("s3")
|
|
bucket_name, s3_path = split_s3_path(url)
|
|
s3_resource.Bucket(bucket_name).download_fileobj(s3_path, temp_file)
|
|
|
|
|
|
def http_get(url, temp_file):
|
|
req = requests.get(url, stream=True)
|
|
content_length = req.headers.get('Content-Length')
|
|
total = int(content_length) if content_length is not None else None
|
|
progress = tqdm(unit="B", total=total)
|
|
for chunk in req.iter_content(chunk_size=1024):
|
|
if chunk: # filter out keep-alive new chunks
|
|
progress.update(len(chunk))
|
|
temp_file.write(chunk)
|
|
progress.close()
|
|
|
|
|
|
def get_from_cache(url, cache_dir=None):
|
|
"""
|
|
Given a URL, look for the corresponding dataset in the local cache.
|
|
If it's not there, download it. Then return the path to the cached file.
|
|
"""
|
|
if cache_dir is None:
|
|
cache_dir = PYTORCH_PRETRAINED_BERT_CACHE
|
|
if sys.version_info[0] == 3 and isinstance(cache_dir, Path):
|
|
cache_dir = str(cache_dir)
|
|
|
|
if not os.path.exists(cache_dir):
|
|
os.makedirs(cache_dir)
|
|
|
|
# Get eTag to add to filename, if it exists.
|
|
if url.startswith("s3://"):
|
|
etag = s3_etag(url)
|
|
else:
|
|
response = requests.head(url, allow_redirects=True)
|
|
if response.status_code != 200:
|
|
raise IOError("HEAD request failed for url {} with status code {}"
|
|
.format(url, response.status_code))
|
|
etag = response.headers.get("ETag")
|
|
|
|
filename = url_to_filename(url, etag)
|
|
|
|
# get cache path to put the file
|
|
cache_path = os.path.join(cache_dir, filename)
|
|
|
|
if not os.path.exists(cache_path):
|
|
# Download to temporary file, then copy to cache dir once finished.
|
|
# Otherwise you get corrupt cache entries if the download gets interrupted.
|
|
with tempfile.NamedTemporaryFile() as temp_file:
|
|
logger.info("%s not found in cache, downloading to %s", url, temp_file.name)
|
|
|
|
# GET file object
|
|
if url.startswith("s3://"):
|
|
s3_get(url, temp_file)
|
|
else:
|
|
http_get(url, temp_file)
|
|
|
|
# we are copying the file before closing it, so flush to avoid truncation
|
|
temp_file.flush()
|
|
# shutil.copyfileobj() starts at the current position, so go to the start
|
|
temp_file.seek(0)
|
|
|
|
logger.info("copying %s to cache at %s", temp_file.name, cache_path)
|
|
with open(cache_path, 'wb') as cache_file:
|
|
shutil.copyfileobj(temp_file, cache_file)
|
|
|
|
logger.info("creating metadata file for %s", cache_path)
|
|
meta = {'url': url, 'etag': etag}
|
|
meta_path = cache_path + '.json'
|
|
with open(meta_path, 'w', encoding="utf-8") as meta_file:
|
|
json.dump(meta, meta_file)
|
|
|
|
logger.info("removing temp file %s", temp_file.name)
|
|
|
|
return cache_path
|
|
|
|
|
|
def read_set_from_file(filename):
|
|
'''
|
|
Extract a de-duped collection (set) of text from a file.
|
|
Expected file format is one item per line.
|
|
'''
|
|
collection = set()
|
|
with open(filename, 'r', encoding='utf-8') as file_:
|
|
for line in file_:
|
|
collection.add(line.rstrip())
|
|
return collection
|
|
|
|
|
|
def get_file_extension(path, dot=True, lower=True):
|
|
ext = os.path.splitext(path)[1]
|
|
ext = ext if dot else ext[1:]
|
|
return ext.lower() if lower else ext
|