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s3boto3.py
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s3boto3.py
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import mimetypes
import os
import posixpath
import threading
from gzip import GzipFile
from tempfile import SpooledTemporaryFile
from django.core.exceptions import ImproperlyConfigured, SuspiciousOperation
from django.core.files.base import File
from django.core.files.storage import Storage
from django.utils.deconstruct import deconstructible
from django.utils.encoding import (
filepath_to_uri, force_bytes, force_text, smart_text,
)
from django.utils.six import BytesIO
from django.utils.six.moves.urllib import parse as urlparse
from django.utils.timezone import is_naive, localtime
from storages.utils import safe_join, setting
try:
import boto3.session
from boto3 import __version__ as boto3_version
from botocore.client import Config
from botocore.exceptions import ClientError
except ImportError:
raise ImproperlyConfigured("Could not load Boto3's S3 bindings.\n"
"See https://github.com/boto/boto3")
boto3_version_info = tuple([int(i) for i in boto3_version.split('.')])
if boto3_version_info[:2] < (1, 2):
raise ImproperlyConfigured("The installed Boto3 library must be 1.2.0 or "
"higher.\nSee https://github.com/boto/boto3")
@deconstructible
class S3Boto3StorageFile(File):
"""
The default file object used by the S3Boto3Storage backend.
This file implements file streaming using boto's multipart
uploading functionality. The file can be opened in read or
write mode.
This class extends Django's File class. However, the contained
data is only the data contained in the current buffer. So you
should not access the contained file object directly. You should
access the data via this class.
Warning: This file *must* be closed using the close() method in
order to properly write the file to S3. Be sure to close the file
in your application.
"""
# TODO: Read/Write (rw) mode may be a bit undefined at the moment. Needs testing.
# TODO: When Django drops support for Python 2.5, rewrite to use the
# BufferedIO streams in the Python 2.6 io module.
buffer_size = setting('AWS_S3_FILE_BUFFER_SIZE', 5242880)
def __init__(self, name, mode, storage, buffer_size=None):
self._storage = storage
self.name = name[len(self._storage.location):].lstrip('/')
self._mode = mode
self.obj = storage.bucket.Object(storage._encode_name(name))
if 'w' not in mode:
# Force early RAII-style exception if object does not exist
self.obj.load()
self._is_dirty = False
self._file = None
self._multipart = None
# 5 MB is the minimum part size (if there is more than one part).
# Amazon allows up to 10,000 parts. The default supports uploads
# up to roughly 50 GB. Increase the part size to accommodate
# for files larger than this.
if buffer_size is not None:
self.buffer_size = buffer_size
self._write_counter = 0
@property
def size(self):
return self.obj.content_length
def _get_file(self):
if self._file is None:
self._file = SpooledTemporaryFile(
max_size=self._storage.max_memory_size,
suffix=".S3Boto3StorageFile",
dir=setting("FILE_UPLOAD_TEMP_DIR", None)
)
if 'r' in self._mode:
self._is_dirty = False
self._file.write(self.obj.get()['Body'].read())
self._file.seek(0)
if self._storage.gzip and self.obj.content_encoding == 'gzip':
self._file = GzipFile(mode=self._mode, fileobj=self._file, mtime=0.0)
return self._file
def _set_file(self, value):
self._file = value
file = property(_get_file, _set_file)
def read(self, *args, **kwargs):
if 'r' not in self._mode:
raise AttributeError("File was not opened in read mode.")
return super(S3Boto3StorageFile, self).read(*args, **kwargs)
def write(self, content):
if 'w' not in self._mode:
raise AttributeError("File was not opened in write mode.")
self._is_dirty = True
if self._multipart is None:
parameters = self._storage.object_parameters.copy()
parameters['ACL'] = self._storage.default_acl
parameters['ContentType'] = (mimetypes.guess_type(self.obj.key)[0] or
self._storage.default_content_type)
if self._storage.reduced_redundancy:
parameters['StorageClass'] = 'REDUCED_REDUNDANCY'
if self._storage.encryption:
parameters['ServerSideEncryption'] = 'AES256'
self._multipart = self.obj.initiate_multipart_upload(**parameters)
if self.buffer_size <= self._buffer_file_size:
self._flush_write_buffer()
return super(S3Boto3StorageFile, self).write(force_bytes(content))
@property
def _buffer_file_size(self):
pos = self.file.tell()
self.file.seek(0, os.SEEK_END)
length = self.file.tell()
self.file.seek(pos)
return length
def _flush_write_buffer(self):
"""
Flushes the write buffer.
"""
if self._buffer_file_size:
self._write_counter += 1
self.file.seek(0)
part = self._multipart.Part(self._write_counter)
part.upload(Body=self.file.read())
def close(self):
if self._is_dirty:
self._flush_write_buffer()
# TODO: Possibly cache the part ids as they're being uploaded
# instead of requesting parts from server. For now, emulating
# s3boto's behavior.
parts = [{'ETag': part.e_tag, 'PartNumber': part.part_number}
for part in self._multipart.parts.all()]
self._multipart.complete(
MultipartUpload={'Parts': parts})
else:
if self._multipart is not None:
self._multipart.abort()
if self._file is not None:
self._file.close()
self._file = None
@deconstructible
class S3Boto3Storage(Storage):
"""
Amazon Simple Storage Service using Boto3
This storage backend supports opening files in read or write
mode and supports streaming(buffering) data in chunks to S3
when writing.
"""
default_content_type = 'application/octet-stream'
# If config provided in init, signature_version and addressing_style settings/args are ignored.
config = None
# used for looking up the access and secret key from env vars
access_key_names = ['AWS_S3_ACCESS_KEY_ID', 'AWS_ACCESS_KEY_ID']
secret_key_names = ['AWS_S3_SECRET_ACCESS_KEY', 'AWS_SECRET_ACCESS_KEY']
security_token_names = ['AWS_SESSION_TOKEN', 'AWS_SECURITY_TOKEN']
access_key = setting('AWS_S3_ACCESS_KEY_ID', setting('AWS_ACCESS_KEY_ID'))
secret_key = setting('AWS_S3_SECRET_ACCESS_KEY', setting('AWS_SECRET_ACCESS_KEY'))
file_overwrite = setting('AWS_S3_FILE_OVERWRITE', True)
object_parameters = setting('AWS_S3_OBJECT_PARAMETERS', {})
bucket_name = setting('AWS_STORAGE_BUCKET_NAME')
auto_create_bucket = setting('AWS_AUTO_CREATE_BUCKET', False)
default_acl = setting('AWS_DEFAULT_ACL', 'public-read')
bucket_acl = setting('AWS_BUCKET_ACL', default_acl)
querystring_auth = setting('AWS_QUERYSTRING_AUTH', True)
querystring_expire = setting('AWS_QUERYSTRING_EXPIRE', 3600)
signature_version = setting('AWS_S3_SIGNATURE_VERSION')
reduced_redundancy = setting('AWS_REDUCED_REDUNDANCY', False)
location = setting('AWS_LOCATION', '')
encryption = setting('AWS_S3_ENCRYPTION', False)
custom_domain = setting('AWS_S3_CUSTOM_DOMAIN')
addressing_style = setting('AWS_S3_ADDRESSING_STYLE')
secure_urls = setting('AWS_S3_SECURE_URLS', True)
file_name_charset = setting('AWS_S3_FILE_NAME_CHARSET', 'utf-8')
gzip = setting('AWS_IS_GZIPPED', False)
preload_metadata = setting('AWS_PRELOAD_METADATA', False)
gzip_content_types = setting('GZIP_CONTENT_TYPES', (
'text/css',
'text/javascript',
'application/javascript',
'application/x-javascript',
'image/svg+xml',
))
url_protocol = setting('AWS_S3_URL_PROTOCOL', 'http:')
endpoint_url = setting('AWS_S3_ENDPOINT_URL', None)
region_name = setting('AWS_S3_REGION_NAME', None)
use_ssl = setting('AWS_S3_USE_SSL', True)
# The max amount of memory a returned file can take up before being
# rolled over into a temporary file on disk. Default is 0: Do not roll over.
max_memory_size = setting('AWS_S3_MAX_MEMORY_SIZE', 0)
def __init__(self, acl=None, bucket=None, **settings):
# check if some of the settings we've provided as class attributes
# need to be overwritten with values passed in here
for name, value in settings.items():
if hasattr(self, name):
setattr(self, name, value)
# For backward-compatibility of old differing parameter names
if acl is not None:
self.default_acl = acl
if bucket is not None:
self.bucket_name = bucket
self.location = (self.location or '').lstrip('/')
# Backward-compatibility: given the anteriority of the SECURE_URL setting
# we fall back to https if specified in order to avoid the construction
# of unsecure urls.
if self.secure_urls:
self.url_protocol = 'https:'
self._entries = {}
self._bucket = None
self._connections = threading.local()
self.security_token = None
if not self.access_key and not self.secret_key:
self.access_key, self.secret_key = self._get_access_keys()
self.security_token = self._get_security_token()
if not self.config:
self.config = Config(s3={'addressing_style': self.addressing_style},
signature_version=self.signature_version)
@property
def connection(self):
# TODO: Support host, port like in s3boto
# Note that proxies are handled by environment variables that the underlying
# urllib/requests libraries read. See https://github.com/boto/boto3/issues/338
# and http://docs.python-requests.org/en/latest/user/advanced/#proxies
connection = getattr(self._connections, 'connection', None)
if connection is None:
session = boto3.session.Session()
self._connections.connection = session.resource(
's3',
aws_access_key_id=self.access_key,
aws_secret_access_key=self.secret_key,
aws_session_token=self.security_token,
region_name=self.region_name,
use_ssl=self.use_ssl,
endpoint_url=self.endpoint_url,
config=self.config
)
return self._connections.connection
@property
def bucket(self):
"""
Get the current bucket. If there is no current bucket object
create it.
"""
if self._bucket is None:
self._bucket = self._get_or_create_bucket(self.bucket_name)
return self._bucket
@property
def entries(self):
"""
Get the locally cached files for the bucket.
"""
if self.preload_metadata and not self._entries:
self._entries = {
self._decode_name(entry.key): entry
for entry in self.bucket.objects.filter(Prefix=self.location)
}
return self._entries
def _lookup_env(self, names):
for name in names:
value = os.environ.get(name)
if value:
return value
def _get_access_keys(self):
"""
Gets the access keys to use when accessing S3. If none
are provided to the class in the constructor or in the
settings then get them from the environment variables.
"""
access_key = self.access_key or self._lookup_env(self.access_key_names)
secret_key = self.secret_key or self._lookup_env(self.secret_key_names)
return access_key, secret_key
def _get_security_token(self):
security_token = self._lookup_env(self.security_token_names)
return security_token
def _get_or_create_bucket(self, name):
"""
Retrieves a bucket if it exists, otherwise creates it.
"""
bucket = self.connection.Bucket(name)
if self.auto_create_bucket:
try:
# Directly call head_bucket instead of bucket.load() because head_bucket()
# fails on wrong region, while bucket.load() does not.
bucket.meta.client.head_bucket(Bucket=name)
except ClientError as err:
if err.response['ResponseMetadata']['HTTPStatusCode'] == 301:
raise ImproperlyConfigured("Bucket %s exists, but in a different "
"region than we are connecting to. Set "
"the region to connect to by setting "
"AWS_S3_REGION_NAME to the correct region." % name)
elif err.response['ResponseMetadata']['HTTPStatusCode'] == 404:
# Notes: When using the us-east-1 Standard endpoint, you can create
# buckets in other regions. The same is not true when hitting region specific
# endpoints. However, when you create the bucket not in the same region, the
# connection will fail all future requests to the Bucket after the creation
# (301 Moved Permanently).
#
# For simplicity, we enforce in S3Boto3Storage that any auto-created
# bucket must match the region that the connection is for.
#
# Also note that Amazon specifically disallows "us-east-1" when passing bucket
# region names; LocationConstraint *must* be blank to create in US Standard.
bucket_params = {'ACL': self.bucket_acl}
region_name = self.connection.meta.client.meta.region_name
if region_name != 'us-east-1':
bucket_params['CreateBucketConfiguration'] = {
'LocationConstraint': region_name}
bucket.create(**bucket_params)
else:
raise ImproperlyConfigured("Bucket %s does not exist. Buckets "
"can be automatically created by "
"setting AWS_AUTO_CREATE_BUCKET to "
"``True``." % name)
return bucket
def _clean_name(self, name):
"""
Cleans the name so that Windows style paths work
"""
# Normalize Windows style paths
clean_name = posixpath.normpath(name).replace('\\', '/')
# os.path.normpath() can strip trailing slashes so we implement
# a workaround here.
if name.endswith('/') and not clean_name.endswith('/'):
# Add a trailing slash as it was stripped.
clean_name += '/'
return clean_name
def _normalize_name(self, name):
"""
Normalizes the name so that paths like /path/to/ignored/../something.txt
work. We check to make sure that the path pointed to is not outside
the directory specified by the LOCATION setting.
"""
try:
return safe_join(self.location, name)
except ValueError:
raise SuspiciousOperation("Attempted access to '%s' denied." %
name)
def _encode_name(self, name):
return smart_text(name, encoding=self.file_name_charset)
def _decode_name(self, name):
return force_text(name, encoding=self.file_name_charset)
def _compress_content(self, content):
"""Gzip a given string content."""
content.seek(0)
zbuf = BytesIO()
# The GZIP header has a modification time attribute (see http://www.zlib.org/rfc-gzip.html)
# This means each time a file is compressed it changes even if the other contents don't change
# For S3 this defeats detection of changes using MD5 sums on gzipped files
# Fixing the mtime at 0.0 at compression time avoids this problem
zfile = GzipFile(mode='wb', compresslevel=6, fileobj=zbuf, mtime=0.0)
try:
zfile.write(force_bytes(content.read()))
finally:
zfile.close()
zbuf.seek(0)
# Boto 2 returned the InMemoryUploadedFile with the file pointer replaced,
# but Boto 3 seems to have issues with that. No need for fp.name in Boto3
# so just returning the BytesIO directly
return zbuf
def _open(self, name, mode='rb'):
name = self._normalize_name(self._clean_name(name))
try:
f = S3Boto3StorageFile(name, mode, self)
except ClientError as err:
if err.response['ResponseMetadata']['HTTPStatusCode'] == 404:
raise IOError('File does not exist: %s' % name)
raise # Let it bubble up if it was some other error
return f
def _save(self, name, content):
cleaned_name = self._clean_name(name)
name = self._normalize_name(cleaned_name)
parameters = self.object_parameters.copy()
_type, encoding = mimetypes.guess_type(name)
content_type = getattr(content, 'content_type',
_type or self.default_content_type)
# setting the content_type in the key object is not enough.
parameters.update({'ContentType': content_type})
if self.gzip and content_type in self.gzip_content_types:
content = self._compress_content(content)
parameters.update({'ContentEncoding': 'gzip'})
elif encoding:
# If the content already has a particular encoding, set it
parameters.update({'ContentEncoding': encoding})
encoded_name = self._encode_name(name)
obj = self.bucket.Object(encoded_name)
if self.preload_metadata:
self._entries[encoded_name] = obj
# If both `name` and `content.name` are empty or None, your request
# can be rejected with `XAmzContentSHA256Mismatch` error, because in
# `django.core.files.storage.Storage.save` method your file-like object
# will be wrapped in `django.core.files.File` if no `chunks` method
# provided. `File.__bool__` method is Django-specific and depends on
# file name, for this reason`botocore.handlers.calculate_md5` can fail
# even if wrapped file-like object exists. To avoid Django-specific
# logic, pass internal file-like object if `content` is `File`
# class instance.
if isinstance(content, File):
content = content.file
self._save_content(obj, content, parameters=parameters)
# Note: In boto3, after a put, last_modified is automatically reloaded
# the next time it is accessed; no need to specifically reload it.
return cleaned_name
def _save_content(self, obj, content, parameters):
# only pass backwards incompatible arguments if they vary from the default
put_parameters = parameters.copy() if parameters else {}
if self.encryption:
put_parameters['ServerSideEncryption'] = 'AES256'
if self.reduced_redundancy:
put_parameters['StorageClass'] = 'REDUCED_REDUNDANCY'
if self.default_acl:
put_parameters['ACL'] = self.default_acl
content.seek(0, os.SEEK_SET)
obj.upload_fileobj(content, ExtraArgs=put_parameters)
def delete(self, name):
name = self._normalize_name(self._clean_name(name))
self.bucket.Object(self._encode_name(name)).delete()
def exists(self, name):
name = self._normalize_name(self._clean_name(name))
if self.entries:
return name in self.entries
try:
self.connection.meta.client.head_object(Bucket=self.bucket_name, Key=name)
return True
except ClientError:
return False
def listdir(self, name):
name = self._normalize_name(self._clean_name(name))
# for the bucket.objects.filter and logic below name needs to end in /
# But for the root path "" we leave it as an empty string
if name and not name.endswith('/'):
name += '/'
files = []
dirs = set()
base_parts = name.split("/")[:-1]
for item in self.bucket.objects.filter(Prefix=self._encode_name(name)):
parts = item.key.split("/")
parts = parts[len(base_parts):]
if len(parts) == 1:
# File
files.append(parts[0])
elif len(parts) > 1:
# Directory
dirs.add(parts[0])
return list(dirs), files
def size(self, name):
name = self._normalize_name(self._clean_name(name))
if self.entries:
entry = self.entries.get(name)
if entry:
return entry.size if hasattr(entry, 'size') else entry.content_length
return 0
return self.bucket.Object(self._encode_name(name)).content_length
def get_modified_time(self, name):
"""
Returns an (aware) datetime object containing the last modified time if
USE_TZ is True, otherwise returns a naive datetime in the local timezone.
"""
name = self._normalize_name(self._clean_name(name))
entry = self.entries.get(name)
# only call self.bucket.Object() if the key is not found
# in the preloaded metadata.
if entry is None:
entry = self.bucket.Object(self._encode_name(name))
if setting('USE_TZ'):
# boto3 returns TZ aware timestamps
return entry.last_modified
else:
return localtime(entry.last_modified).replace(tzinfo=None)
def modified_time(self, name):
"""Returns a naive datetime object containing the last modified time."""
# If USE_TZ=False then get_modified_time will return a naive datetime
# so we just return that, else we have to localize and strip the tz
mtime = self.get_modified_time(name)
return mtime if is_naive(mtime) else localtime(mtime).replace(tzinfo=None)
def _strip_signing_parameters(self, url):
# Boto3 does not currently support generating URLs that are unsigned. Instead we
# take the signed URLs and strip any querystring params related to signing and expiration.
# Note that this may end up with URLs that are still invalid, especially if params are
# passed in that only work with signed URLs, e.g. response header params.
# The code attempts to strip all query parameters that match names of known parameters
# from v2 and v4 signatures, regardless of the actual signature version used.
split_url = urlparse.urlsplit(url)
qs = urlparse.parse_qsl(split_url.query, keep_blank_values=True)
blacklist = {
'x-amz-algorithm', 'x-amz-credential', 'x-amz-date',
'x-amz-expires', 'x-amz-signedheaders', 'x-amz-signature',
'x-amz-security-token', 'awsaccesskeyid', 'expires', 'signature',
}
filtered_qs = ((key, val) for key, val in qs if key.lower() not in blacklist)
# Note: Parameters that did not have a value in the original query string will have
# an '=' sign appended to it, e.g ?foo&bar becomes ?foo=&bar=
joined_qs = ('='.join(keyval) for keyval in filtered_qs)
split_url = split_url._replace(query="&".join(joined_qs))
return split_url.geturl()
def url(self, name, parameters=None, expire=None):
# Preserve the trailing slash after normalizing the path.
# TODO: Handle force_http=not self.secure_urls like in s3boto
name = self._normalize_name(self._clean_name(name))
if self.custom_domain:
return "%s//%s/%s" % (self.url_protocol,
self.custom_domain, filepath_to_uri(name))
if expire is None:
expire = self.querystring_expire
params = parameters.copy() if parameters else {}
params['Bucket'] = self.bucket.name
params['Key'] = self._encode_name(name)
url = self.bucket.meta.client.generate_presigned_url('get_object', Params=params,
ExpiresIn=expire)
if self.querystring_auth:
return url
return self._strip_signing_parameters(url)
def get_available_name(self, name, max_length=None):
"""Overwrite existing file with the same name."""
if self.file_overwrite:
name = self._clean_name(name)
return name
return super(S3Boto3Storage, self).get_available_name(name, max_length)