Remove telemetry/third_party/gsutilz

tools/telemetry/third_party/gsutilz/third_party/boto/boto/glacier/concurrent.py

Index: tools/telemetry/third_party/gsutilz/third_party/boto/boto/glacier/concurrent.py
diff --git a/tools/telemetry/third_party/gsutilz/third_party/boto/boto/glacier/concurrent.py b/tools/telemetry/third_party/gsutilz/third_party/boto/boto/glacier/concurrent.py
deleted file mode 100644
index a4f3a224a0951fd44a7d345b92eb2128f66a45fb..0000000000000000000000000000000000000000
--- a/tools/telemetry/third_party/gsutilz/third_party/boto/boto/glacier/concurrent.py
+++ /dev/null
@@ -1,425 +0,0 @@
-# Copyright (c) 2012 Amazon.com, Inc. or its affiliates.  All Rights Reserved
-#
-# Permission is hereby granted, free of charge, to any person obtaining a
-# copy of this software and associated documentation files (the
-# "Software"), to deal in the Software without restriction, including
-# without limitation the rights to use, copy, modify, merge, publish, dis-
-# tribute, sublicense, and/or sell copies of the Software, and to permit
-# persons to whom the Software is furnished to do so, subject to the fol-
-# lowing conditions:
-#
-# The above copyright notice and this permission notice shall be included
-# in all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
-# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
-# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
-# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
-# IN THE SOFTWARE.
-#
-import os
-import math
-import threading
-import hashlib
-import time
-import logging
-from boto.compat import Queue
-import binascii
-
-from boto.glacier.utils import DEFAULT_PART_SIZE, minimum_part_size, \
-                               chunk_hashes, tree_hash, bytes_to_hex
-from boto.glacier.exceptions import UploadArchiveError, \
-                                    DownloadArchiveError, \
-                                    TreeHashDoesNotMatchError
-
-
-_END_SENTINEL = object()
-log = logging.getLogger('boto.glacier.concurrent')
-
-
-class ConcurrentTransferer(object):
-    def __init__(self, part_size=DEFAULT_PART_SIZE, num_threads=10):
-        self._part_size = part_size
-        self._num_threads = num_threads
-        self._threads = []
-
-    def _calculate_required_part_size(self, total_size):
-        min_part_size_required = minimum_part_size(total_size)
-        if self._part_size >= min_part_size_required:
-            part_size = self._part_size
-        else:
-            part_size = min_part_size_required
-            log.debug("The part size specified (%s) is smaller than "
-                      "the minimum required part size.  Using a part "
-                      "size of: %s", self._part_size, part_size)
-        total_parts = int(math.ceil(total_size / float(part_size)))
-        return total_parts, part_size
-
-    def _shutdown_threads(self):
-        log.debug("Shutting down threads.")
-        for thread in self._threads:
-            thread.should_continue = False
-        for thread in self._threads:
-            thread.join()
-        log.debug("Threads have exited.")
-
-    def _add_work_items_to_queue(self, total_parts, worker_queue, part_size):
-        log.debug("Adding work items to queue.")
-        for i in range(total_parts):
-            worker_queue.put((i, part_size))
-        for i in range(self._num_threads):
-            worker_queue.put(_END_SENTINEL)
-
-
-class ConcurrentUploader(ConcurrentTransferer):
-    """Concurrently upload an archive to glacier.
-
-    This class uses a thread pool to concurrently upload an archive
-    to glacier using the multipart upload API.
-
-    The threadpool is completely managed by this class and is
-    transparent to the users of this class.
-
-    """
-    def __init__(self, api, vault_name, part_size=DEFAULT_PART_SIZE,
-                 num_threads=10):
-        """
-        :type api: :class:`boto.glacier.layer1.Layer1`
-        :param api: A layer1 glacier object.
-
-        :type vault_name: str
-        :param vault_name: The name of the vault.
-
-        :type part_size: int
-        :param part_size: The size, in bytes, of the chunks to use when uploading
-            the archive parts.  The part size must be a megabyte multiplied by
-            a power of two.
-
-        :type num_threads: int
-        :param num_threads: The number of threads to spawn for the thread pool.
-            The number of threads will control how much parts are being
-            concurrently uploaded.
-
-        """
-        super(ConcurrentUploader, self).__init__(part_size, num_threads)
-        self._api = api
-        self._vault_name = vault_name
-
-    def upload(self, filename, description=None):
-        """Concurrently create an archive.
-
-        The part_size value specified when the class was constructed
-        will be used *unless* it is smaller than the minimum required
-        part size needed for the size of the given file.  In that case,
-        the part size used will be the minimum part size required
-        to properly upload the given file.
-
-        :type file: str
-        :param file: The filename to upload
-
-        :type description: str
-        :param description: The description of the archive.
-
-        :rtype: str
-        :return: The archive id of the newly created archive.
-
-        """
-        total_size = os.stat(filename).st_size
-        total_parts, part_size = self._calculate_required_part_size(total_size)
-        hash_chunks = [None] * total_parts
-        worker_queue = Queue()
-        result_queue = Queue()
-        response = self._api.initiate_multipart_upload(self._vault_name,
-                                                       part_size,
-                                                       description)
-        upload_id = response['UploadId']
-        # The basic idea is to add the chunks (the offsets not the actual
-        # contents) to a work queue, start up a thread pool, let the crank
-        # through the items in the work queue, and then place their results
-        # in a result queue which we use to complete the multipart upload.
-        self._add_work_items_to_queue(total_parts, worker_queue, part_size)
-        self._start_upload_threads(result_queue, upload_id,
-                                   worker_queue, filename)
-        try:
-            self._wait_for_upload_threads(hash_chunks, result_queue,
-                                          total_parts)
-        except UploadArchiveError as e:
-            log.debug("An error occurred while uploading an archive, "
-                      "aborting multipart upload.")
-            self._api.abort_multipart_upload(self._vault_name, upload_id)
-            raise e
-        log.debug("Completing upload.")
-        response = self._api.complete_multipart_upload(
-            self._vault_name, upload_id, bytes_to_hex(tree_hash(hash_chunks)),
-            total_size)
-        log.debug("Upload finished.")
-        return response['ArchiveId']
-
-    def _wait_for_upload_threads(self, hash_chunks, result_queue, total_parts):
-        for _ in range(total_parts):
-            result = result_queue.get()
-            if isinstance(result, Exception):
-                log.debug("An error was found in the result queue, terminating "
-                          "threads: %s", result)
-                self._shutdown_threads()
-                raise UploadArchiveError("An error occurred while uploading "
-                                         "an archive: %s" % result)
-            # Each unit of work returns the tree hash for the given part
-            # number, which we use at the end to compute the tree hash of
-            # the entire archive.
-            part_number, tree_sha256 = result
-            hash_chunks[part_number] = tree_sha256
-        self._shutdown_threads()
-
-    def _start_upload_threads(self, result_queue, upload_id, worker_queue,
-                              filename):
-        log.debug("Starting threads.")
-        for _ in range(self._num_threads):
-            thread = UploadWorkerThread(self._api, self._vault_name, filename,
-                                        upload_id, worker_queue, result_queue)
-            time.sleep(0.2)
-            thread.start()
-            self._threads.append(thread)
-
-
-class TransferThread(threading.Thread):
-    def __init__(self, worker_queue, result_queue):
-        super(TransferThread, self).__init__()
-        self._worker_queue = worker_queue
-        self._result_queue = result_queue
-        # This value can be set externally by other objects
-        # to indicate that the thread should be shut down.
-        self.should_continue = True
-
-    def run(self):
-        while self.should_continue:
-            try:
-                work = self._worker_queue.get(timeout=1)
-            except Empty:
-                continue
-            if work is _END_SENTINEL:
-                self._cleanup()
-                return
-            result = self._process_chunk(work)
-            self._result_queue.put(result)
-        self._cleanup()
-
-    def _process_chunk(self, work):
-        pass
-
-    def _cleanup(self):
-        pass
-
-
-class UploadWorkerThread(TransferThread):
-    def __init__(self, api, vault_name, filename, upload_id,
-                 worker_queue, result_queue, num_retries=5,
-                 time_between_retries=5,
-                 retry_exceptions=Exception):
-        super(UploadWorkerThread, self).__init__(worker_queue, result_queue)
-        self._api = api
-        self._vault_name = vault_name
-        self._filename = filename
-        self._fileobj = open(filename, 'rb')
-        self._upload_id = upload_id
-        self._num_retries = num_retries
-        self._time_between_retries = time_between_retries
-        self._retry_exceptions = retry_exceptions
-
-    def _process_chunk(self, work):
-        result = None
-        for i in range(self._num_retries + 1):
-            try:
-                result = self._upload_chunk(work)
-                break
-            except self._retry_exceptions as e:
-                log.error("Exception caught uploading part number %s for "
-                          "vault %s, attempt: (%s / %s), filename: %s, "
-                          "exception: %s, msg: %s",
-                          work[0], self._vault_name, i + 1, self._num_retries + 1,
-                          self._filename, e.__class__, e)
-                time.sleep(self._time_between_retries)
-                result = e
-        return result
-
-    def _upload_chunk(self, work):
-        part_number, part_size = work
-        start_byte = part_number * part_size
-        self._fileobj.seek(start_byte)
-        contents = self._fileobj.read(part_size)
-        linear_hash = hashlib.sha256(contents).hexdigest()
-        tree_hash_bytes = tree_hash(chunk_hashes(contents))
-        byte_range = (start_byte, start_byte + len(contents) - 1)
-        log.debug("Uploading chunk %s of size %s", part_number, part_size)
-        response = self._api.upload_part(self._vault_name, self._upload_id,
-                                         linear_hash,
-                                         bytes_to_hex(tree_hash_bytes),
-                                         byte_range, contents)
-        # Reading the response allows the connection to be reused.
-        response.read()
-        return (part_number, tree_hash_bytes)
-
-    def _cleanup(self):
-        self._fileobj.close()
-
-
-class ConcurrentDownloader(ConcurrentTransferer):
-    """
-    Concurrently download an archive from glacier.
-
-    This class uses a thread pool to concurrently download an archive
-    from glacier.
-
-    The threadpool is completely managed by this class and is
-    transparent to the users of this class.
-
-    """
-    def __init__(self, job, part_size=DEFAULT_PART_SIZE,
-                 num_threads=10):
-        """
-        :param job: A layer2 job object for archive retrieval object.
-
-        :param part_size: The size, in bytes, of the chunks to use when uploading
-            the archive parts.  The part size must be a megabyte multiplied by
-            a power of two.
-
-        """
-        super(ConcurrentDownloader, self).__init__(part_size, num_threads)
-        self._job = job
-
-    def download(self, filename):
-        """
-        Concurrently download an archive.
-
-        :param filename: The filename to download the archive to
-        :type filename: str
-
-        """
-        total_size = self._job.archive_size
-        total_parts, part_size = self._calculate_required_part_size(total_size)
-        worker_queue = Queue()
-        result_queue = Queue()
-        self._add_work_items_to_queue(total_parts, worker_queue, part_size)
-        self._start_download_threads(result_queue, worker_queue)
-        try:
-            self._wait_for_download_threads(filename, result_queue, total_parts)
-        except DownloadArchiveError as e:
-            log.debug("An error occurred while downloading an archive: %s", e)
-            raise e
-        log.debug("Download completed.")
-
-    def _wait_for_download_threads(self, filename, result_queue, total_parts):
-        """
-        Waits until the result_queue is filled with all the downloaded parts
-        This indicates that all part downloads have completed
-
-        Saves downloaded parts into filename
-
-        :param filename:
-        :param result_queue:
-        :param total_parts:
-        """
-        hash_chunks = [None] * total_parts
-        with open(filename, "wb") as f:
-            for _ in range(total_parts):
-                result = result_queue.get()
-                if isinstance(result, Exception):
-                    log.debug("An error was found in the result queue, "
-                              "terminating threads: %s", result)
-                    self._shutdown_threads()
-                    raise DownloadArchiveError(
-                        "An error occurred while uploading "
-                        "an archive: %s" % result)
-                part_number, part_size, actual_hash, data = result
-                hash_chunks[part_number] = actual_hash
-                start_byte = part_number * part_size
-                f.seek(start_byte)
-                f.write(data)
-                f.flush()
-        final_hash = bytes_to_hex(tree_hash(hash_chunks))
-        log.debug("Verifying final tree hash of archive, expecting: %s, "
-                  "actual: %s", self._job.sha256_treehash, final_hash)
-        if self._job.sha256_treehash != final_hash:
-            self._shutdown_threads()
-            raise TreeHashDoesNotMatchError(
-                "Tree hash for entire archive does not match, "
-                "expected: %s, got: %s" % (self._job.sha256_treehash,
-                                           final_hash))
-        self._shutdown_threads()
-
-    def _start_download_threads(self, result_queue, worker_queue):
-        log.debug("Starting threads.")
-        for _ in range(self._num_threads):
-            thread = DownloadWorkerThread(self._job, worker_queue, result_queue)
-            time.sleep(0.2)
-            thread.start()
-            self._threads.append(thread)
-
-
-class DownloadWorkerThread(TransferThread):
-    def __init__(self, job,
-                 worker_queue, result_queue,
-                 num_retries=5,
-                 time_between_retries=5,
-                 retry_exceptions=Exception):
-        """
-        Individual download thread that will download parts of the file from Glacier. Parts
-        to download stored in work queue.
-
-        Parts download to a temp dir with each part a separate file
-
-        :param job: Glacier job object
-        :param work_queue: A queue of tuples which include the part_number and
-            part_size
-        :param result_queue: A priority queue of tuples which include the
-            part_number and the path to the temp file that holds that
-            part's data.
-
-        """
-        super(DownloadWorkerThread, self).__init__(worker_queue, result_queue)
-        self._job = job
-        self._num_retries = num_retries
-        self._time_between_retries = time_between_retries
-        self._retry_exceptions = retry_exceptions
-
-    def _process_chunk(self, work):
-        """
-        Attempt to download a part of the archive from Glacier
-        Store the result in the result_queue
-
-        :param work:
-        """
-        result = None
-        for _ in range(self._num_retries):
-            try:
-                result = self._download_chunk(work)
-                break
-            except self._retry_exceptions as e:
-                log.error("Exception caught downloading part number %s for "
-                          "job %s", work[0], self._job,)
-                time.sleep(self._time_between_retries)
-                result = e
-        return result
-
-    def _download_chunk(self, work):
-        """
-        Downloads a chunk of archive from Glacier. Saves the data to a temp file
-        Returns the part number and temp file location
-
-        :param work:
-        """
-        part_number, part_size = work
-        start_byte = part_number * part_size
-        byte_range = (start_byte, start_byte + part_size - 1)
-        log.debug("Downloading chunk %s of size %s", part_number, part_size)
-        response = self._job.get_output(byte_range)
-        data = response.read()
-        actual_hash = bytes_to_hex(tree_hash(chunk_hashes(data)))
-        if response['TreeHash'] != actual_hash:
-            raise TreeHashDoesNotMatchError(
-                "Tree hash for part number %s does not match, "
-                "expected: %s, got: %s" % (part_number, response['TreeHash'],
-                                           actual_hash))
-        return (part_number, part_size, binascii.unhexlify(actual_hash), data)