mirror of
https://github.com/wassname/flask-s3.git
synced 2026-06-27 15:50:06 +08:00
a74afe1ddb
Boto3 uploads specific headers as parameters to put_object, and others through the Metadata parameter. This commit seperates the metadata and keyword parameter headers, and submits them appropriately
386 lines
14 KiB
Python
386 lines
14 KiB
Python
import hashlib
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import json
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import logging
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import os
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import re
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from collections import defaultdict
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import boto3
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import boto3.exceptions
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from botocore.exceptions import ClientError
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from flask import current_app
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from flask import url_for as flask_url_for
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logger = logging.getLogger('flask_s3')
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import six
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# Mapping for Header names to S3 parameters
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header_mapping = {
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'cache-control': 'CacheControl',
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'content-disposition': 'ContentDisposition',
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'content-encoding': 'ContentEncoding',
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'content-language': 'ContentLanguage',
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'content-length': 'ContentLength',
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'content-md5': 'ContentMD5',
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'content-type': 'ContentType',
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'expires': 'Expires',
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}
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def split_metadata_params(headers):
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"""
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Given a dict of headers for s3, seperates those that are boto3
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parameters and those that must be metadata
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"""
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params = {}
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metadata = {}
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for header_name in headers:
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if header_name.lower() in header_mapping:
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params[header_mapping[header_name.lower()]] = headers[header_name]
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else:
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metadata[header_name] = headers[header_name]
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return metadata, params
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def merge_two_dicts(x, y):
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"""Given two dicts, merge them into a new dict as a shallow copy."""
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z = x.copy()
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z.update(y)
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return z
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def hash_file(filename):
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"""
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Generate a hash for the contents of a file
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"""
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hasher = hashlib.sha1()
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with open(filename, 'rb') as f:
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buf = f.read(65536)
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while len(buf) > 0:
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hasher.update(buf)
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buf = f.read(65536)
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return hasher.hexdigest()
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def url_for(endpoint, **values):
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"""
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Generates a URL to the given endpoint.
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If the endpoint is for a static resource then an Amazon S3 URL is
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generated, otherwise the call is passed on to `flask.url_for`.
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Because this function is set as a jinja environment variable when
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`FlaskS3.init_app` is invoked, this function replaces
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`flask.url_for` in templates automatically. It is unlikely that this
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function will need to be directly called from within your
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application code, unless you need to refer to static assets outside
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of your templates.
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"""
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app = current_app
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if app.config.get('TESTING', False) and not app.config.get('S3_OVERRIDE_TESTING', True):
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return flask_url_for(endpoint, **values)
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if 'S3_BUCKET_NAME' not in app.config:
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raise ValueError("S3_BUCKET_NAME not found in app configuration.")
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if endpoint == 'static' or endpoint.endswith('.static'):
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scheme = 'https'
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if app.config['S3_USE_HTTP']:
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scheme = 'http'
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if app.config['S3_URL_STYLE'] == 'host':
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url_format = '%(bucket_name)s.%(bucket_domain)s'
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elif app.config['S3_URL_STYLE'] == 'path':
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url_format = '%(bucket_domain)s/%(bucket_name)s'
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else:
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raise ValueError('Invalid S3 URL style: "%s"'
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% app.config['S3_URL_STYLE'])
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bucket_path = url_format % {
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'bucket_name': app.config['S3_BUCKET_NAME'],
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'bucket_domain': app.config['S3_BUCKET_DOMAIN'],
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}
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if app.config['S3_CDN_DOMAIN']:
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bucket_path = '%s' % app.config['S3_CDN_DOMAIN']
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urls = app.url_map.bind(bucket_path, url_scheme=scheme)
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return urls.build(endpoint, values=values, force_external=True)
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return flask_url_for(endpoint, **values)
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def _bp_static_url(blueprint):
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""" builds the absolute url path for a blueprint's static folder """
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u = six.u('%s%s' % (blueprint.url_prefix or '', blueprint.static_url_path or ''))
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return u
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def _gather_files(app, hidden, filepath_filter_regex=None):
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""" Gets all files in static folders and returns in dict."""
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dirs = [(six.u(app.static_folder), app.static_url_path)]
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if hasattr(app, 'blueprints'):
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blueprints = app.blueprints.values()
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bp_details = lambda x: (x.static_folder, _bp_static_url(x))
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dirs.extend([bp_details(x) for x in blueprints if x.static_folder])
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valid_files = defaultdict(list)
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for static_folder, static_url_loc in dirs:
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if not os.path.isdir(static_folder):
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logger.warning("WARNING - [%s does not exist]" % static_folder)
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else:
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logger.debug("Checking static folder: %s" % static_folder)
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for root, _, files in os.walk(static_folder):
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relative_folder = re.sub(r'^\/',
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'',
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root.replace(static_folder, ''))
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files = [os.path.join(root, x) \
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for x in files if (
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(hidden or x[0] != '.') and
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# Skip this file if the filter regex is
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# defined, and this file's path is a
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# negative match.
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(filepath_filter_regex == None or re.search(
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filepath_filter_regex,
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os.path.join(relative_folder, x))))]
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if files:
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valid_files[(static_folder, static_url_loc)].extend(files)
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return valid_files
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def _path_to_relative_url(path):
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""" Converts a folder and filename into a ralative url path """
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return os.path.splitdrive(path)[1].replace('\\', '/')
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def _static_folder_path(static_url, static_folder, static_asset):
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"""
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Returns a path to a file based on the static folder, and not on the
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filesystem holding the file.
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Returns a path relative to static_url for static_asset
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"""
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# first get the asset path relative to the static folder.
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# static_asset is not simply a filename because it could be
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# sub-directory then file etc.
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if not static_asset.startswith(static_folder):
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raise ValueError("%s static asset must be under %s static folder" %
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(static_asset, static_folder))
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rel_asset = static_asset[len(static_folder):]
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# Now bolt the static url path and the relative asset location together
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return '%s/%s' % (static_url.rstrip('/'), rel_asset.lstrip('/'))
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def _write_files(s3, app, static_url_loc, static_folder, files, bucket,
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ex_keys=None, hashes=None):
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""" Writes all the files inside a static folder to S3. """
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new_hashes = []
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static_folder_rel = _path_to_relative_url(static_folder)
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for file_path in files:
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asset_loc = _path_to_relative_url(file_path)
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full_key_name = _static_folder_path(static_url_loc, static_folder_rel,
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asset_loc)
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key_name = full_key_name.lstrip("/")
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msg = "Uploading %s to %s as %s" % (file_path, bucket, key_name)
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logger.debug(msg)
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exclude = False
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if app.config.get('S3_ONLY_MODIFIED', False):
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file_hash = hash_file(file_path)
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new_hashes.append((full_key_name, file_hash))
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if hashes and hashes.get(full_key_name, None) == file_hash:
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exclude = True
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if ex_keys and full_key_name in ex_keys or exclude:
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logger.debug("%s excluded from upload" % key_name)
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else:
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h = {}
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# Set more custom headers if the filepath matches certain
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# configured regular expressions.
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filepath_headers = app.config.get('S3_FILEPATH_HEADERS')
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if filepath_headers:
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for filepath_regex, headers in filepath_headers.iteritems():
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if re.search(filepath_regex, file_path):
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for header, value in headers.iteritems():
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h[header] = value
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with open(file_path) as fp:
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metadata, params = split_metadata_params(merge_two_dicts(app.config['S3_HEADERS'], h))
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s3.put_object(Bucket=bucket,
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Key=key_name,
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Body=fp.read(),
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ACL="public-read",
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Metadata=metadata,
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**params)
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return new_hashes
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def _upload_files(s3, app, files_, bucket, hashes=None):
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new_hashes = []
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for (static_folder, static_url), names in six.iteritems(files_):
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new_hashes.extend(_write_files(s3, app, static_url, static_folder, names,
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bucket, hashes=hashes))
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return new_hashes
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def create_all(app, user=None, password=None, bucket_name=None,
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location=None, include_hidden=False,
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filepath_filter_regex=None):
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"""
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Uploads of the static assets associated with a Flask application to
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Amazon S3.
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All static assets are identified on the local filesystem, including
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any static assets associated with *registered* blueprints. In turn,
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each asset is uploaded to the bucket described by `bucket_name`. If
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the bucket does not exist then it is created.
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Flask-S3 creates the same relative static asset folder structure on
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S3 as can be found within your Flask application.
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Many of the optional arguments to `create_all` can be specified
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instead in your application's configuration using the Flask-S3
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`configuration`_ variables.
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:param app: a :class:`flask.Flask` application object.
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:param user: an AWS Access Key ID. You can find this key in the
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Security Credentials section of your AWS account.
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:type user: `basestring` or None
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:param password: an AWS Secret Access Key. You can find this key in
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the Security Credentials section of your AWS
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account.
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:type password: `basestring` or None
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:param bucket_name: the name of the bucket you wish to server your
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static assets from. **Note**: while a valid
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character, it is recommended that you do not
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include periods in bucket_name if you wish to
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serve over HTTPS. See Amazon's `bucket
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restrictions`_ for more details.
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:type bucket_name: `basestring` or None
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:param location: the AWS region to host the bucket in; an empty
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string indicates the default region should be used,
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which is the US Standard region. Possible location
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values include: `'DEFAULT'`, `'EU'`, `'USWest'`,
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`'APSoutheast'`
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:type location: `basestring` or None
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:param include_hidden: by default Flask-S3 will not upload hidden
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files. Set this to true to force the upload of hidden files.
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:type include_hidden: `bool`
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:param filepath_filter_regex: if specified, then the upload of
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static assets is limited to only those files whose relative path
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matches this regular expression string. For example, to only
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upload files within the 'css' directory of your app's static
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store, set to r'^css'.
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:type filepath_filter_regex: `basestring` or None
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.. _bucket restrictions: http://docs.amazonwebservices.com/AmazonS3\
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/latest/dev/BucketRestrictions.html
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"""
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user = user or app.config.get('AWS_ACCESS_KEY_ID')
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password = password or app.config.get('AWS_SECRET_ACCESS_KEY')
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bucket_name = bucket_name or app.config.get('S3_BUCKET_NAME')
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if not bucket_name:
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raise ValueError("No bucket name provided.")
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location = location or app.config.get('S3_REGION')
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# build list of static files
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all_files = _gather_files(app, include_hidden,
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filepath_filter_regex=filepath_filter_regex)
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logger.debug("All valid files: %s" % all_files)
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# connect to s3
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s3 = boto3.client("s3",
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region_name=location or None,
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aws_access_key_id=user,
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aws_secret_access_key=password)
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# get_or_create bucket
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try:
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s3.head_bucket(Bucket=bucket_name)
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except ClientError as e:
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if int(e.response['Error']['Code']) == 404:
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# Create the bucket
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bucket = s3.create_bucket(Bucket=bucket_name)
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else:
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raise
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s3.put_bucket_acl(Bucket=bucket_name, ACL='public-read')
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if app.config['S3_ONLY_MODIFIED']:
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try:
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hashes_object = s3.get_object(Bucket=bucket_name, Key='.file-hashes')
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hashes = json.loads(str(hashes_object['Body'].read()))
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except ClientError as e:
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logger.warn("No file hashes found: %s" % e)
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hashes = None
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new_hashes = _upload_files(s3, app, all_files, bucket_name, hashes=hashes)
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try:
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s3.put_object(Bucket=bucket_name,
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Key='.file-hashes',
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Body=json.dumps(dict(new_hashes)),
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ACL='private')
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except boto3.exceptions.S3UploadFailedError as e:
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logger.warn("Unable to upload file hashes: %s" % e)
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else:
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_upload_files(s3, app, all_files, bucket_name)
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class FlaskS3(object):
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"""
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The FlaskS3 object allows your application to use Flask-S3.
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When initialising a FlaskS3 object you may optionally provide your
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:class:`flask.Flask` application object if it is ready. Otherwise,
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you may provide it later by using the :meth:`init_app` method.
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:param app: optional :class:`flask.Flask` application object
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:type app: :class:`flask.Flask` or None
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"""
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def __init__(self, app=None):
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if app is not None:
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self.init_app(app)
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def init_app(self, app):
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"""
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An alternative way to pass your :class:`flask.Flask` application
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object to Flask-S3. :meth:`init_app` also takes care of some
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default `settings`_.
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:param app: the :class:`flask.Flask` application object.
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"""
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defaults = [('S3_USE_HTTP', False),
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('USE_S3', True),
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('USE_S3_DEBUG', False),
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('S3_BUCKET_DOMAIN', 's3.amazonaws.com'),
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('S3_CDN_DOMAIN', ''),
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('S3_USE_CACHE_CONTROL', False),
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('S3_HEADERS', {}),
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('S3_FILEPATH_HEADERS', {}),
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('S3_ONLY_MODIFIED', False),
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('S3_URL_STYLE', 'host')]
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for k, v in defaults:
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app.config.setdefault(k, v)
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if app.debug and not app.config['USE_S3_DEBUG']:
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app.config['USE_S3'] = False
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if app.config['USE_S3']:
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app.jinja_env.globals['url_for'] = url_for
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if app.config['S3_USE_CACHE_CONTROL'] and app.config.get('S3_CACHE_CONTROL'):
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cache_control_header = app.config['S3_CACHE_CONTROL']
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app.config['S3_HEADERS']['Cache-Control'] = cache_control_header
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