python-os-xenapi 0.3.1-0ubuntu1 / usr / lib / python2.7 / dist-packages / os_xenapi / dom0 / etc / xapi.d / plugins / glance.py

#!/usr/bin/env python

# Copyright (c) 2012 OpenStack Foundation
# Copyright (c) 2010 Citrix Systems, Inc.
# Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# 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.

# NOTE: XenServer still only supports Python 2.4 in it's dom0 userspace
# which means the Nova xenapi plugins must use only Python 2.4 features

# TODO(sfinucan): Resolve all 'noqa' items once the above is no longer true

"""Handle the uploading and downloading of images via Glance."""

try:
    import httplib
except ImportError:
    from six.moves import http_client as httplib

try:
    import json
except ImportError:
    import simplejson as json

import md5  # noqa
import socket
import urllib2
from urlparse import urlparse

import dom0_pluginlib
import utils
import XenAPI

dom0_pluginlib.configure_logging('glance')
logging = dom0_pluginlib.logging
PluginError = dom0_pluginlib.PluginError

SOCKET_TIMEOUT_SECONDS = 90


class RetryableError(Exception):
    pass


def _create_connection(scheme, netloc):
    if scheme == 'https':
        conn = httplib.HTTPSConnection(netloc)
    else:
        conn = httplib.HTTPConnection(netloc)
    conn.connect()
    return conn


def _download_tarball_and_verify(request, staging_path):
    # NOTE(johngarbutt) By default, there is no timeout.
    # To ensure the script does not hang if we lose connection
    # to glance, we add this socket timeout.
    # This is here so there is no chance the timeout out has
    # been adjusted by other library calls.
    socket.setdefaulttimeout(SOCKET_TIMEOUT_SECONDS)

    try:
        response = urllib2.urlopen(request)
    except urllib2.HTTPError, error:  # noqa
        raise RetryableError(error)
    except urllib2.URLError, error:  # noqa
        raise RetryableError(error)
    except httplib.HTTPException, error:  # noqa
        # httplib.HTTPException and derivatives (BadStatusLine in particular)
        # don't have a useful __repr__ or __str__
        raise RetryableError('%s: %s' % (error.__class__.__name__, error))

    url = request.get_full_url()
    logging.info("Reading image data from %s" % url)

    callback_data = {'bytes_read': 0}
    checksum = md5.new()

    def update_md5(chunk):
        callback_data['bytes_read'] += len(chunk)
        checksum.update(chunk)

    try:
        try:
            utils.extract_tarball(response, staging_path, callback=update_md5)
        except Exception, error:  # noqa
            raise RetryableError(error)
    finally:
        bytes_read = callback_data['bytes_read']
        logging.info("Read %d bytes from %s", bytes_read, url)

    # Use ETag if available, otherwise content-md5(v2) or
    # X-Image-Meta-Checksum(v1)
    etag = response.info().getheader('etag', None)
    if etag is None:
        etag = response.info().getheader('content-md5', None)
    if etag is None:
        etag = response.info().getheader('x-image-meta-checksum', None)

    # Verify checksum using ETag
    checksum = checksum.hexdigest()

    if etag is None:
        msg = "No ETag found for comparison to checksum %(checksum)s"
        logging.info(msg % {'checksum': checksum})
    elif checksum != etag:
        msg = 'ETag %(etag)s does not match computed md5sum %(checksum)s'
        raise RetryableError(msg % {'checksum': checksum, 'etag': etag})
    else:
        msg = "Verified image checksum %(checksum)s"
        logging.info(msg % {'checksum': checksum})


def _download_tarball_v1(sr_path, staging_path, image_id, glance_host,
                         glance_port, glance_use_ssl, extra_headers):
    # Download the tarball image from Glance v1 and extract it into the
    # staging area. Retry if there is any failure.
    if glance_use_ssl:
        scheme = 'https'
    else:
        scheme = 'http'

    endpoint = "%(scheme)s://%(glance_host)s:%(glance_port)d" % {
        'scheme': scheme, 'glance_host': glance_host,
        'glance_port': glance_port}
    _download_tarball_by_url_v1(sr_path, staging_path, image_id,
                                endpoint, extra_headers)


def _download_tarball_by_url_v1(
        sr_path, staging_path, image_id, glance_endpoint, extra_headers):
    # Download the tarball image from Glance v1 and extract it into the
    # staging area.
    url = "%(glance_endpoint)s/v1/images/%(image_id)s" % {
        'glance_endpoint': glance_endpoint,
        'image_id': image_id}
    logging.info("Downloading %s with glance v1 api" % url)

    request = urllib2.Request(url, headers=extra_headers)
    try:
        _download_tarball_and_verify(request, staging_path)
    except Exception:
        logging.exception('Failed to retrieve %(url)s' % {'url': url})
        raise


def _download_tarball_by_url_v2(
        sr_path, staging_path, image_id, glance_endpoint, extra_headers):
    # Download the tarball image from Glance v2 and extract it into the
    # staging area.
    url = "%(glance_endpoint)s/v2/images/%(image_id)s/file" % {
        'glance_endpoint': glance_endpoint,
        'image_id': image_id}
    logging.debug("Downloading %s with glance v2 api" % url)

    request = urllib2.Request(url, headers=extra_headers)
    try:
        _download_tarball_and_verify(request, staging_path)
    except Exception:
        logging.exception('Failed to retrieve %(url)s' % {'url': url})
        raise


def _upload_tarball_v1(staging_path, image_id, glance_host, glance_port,
                       glance_use_ssl, extra_headers, properties):
    if glance_use_ssl:
        scheme = 'https'
    else:
        scheme = 'http'

    url = '%s://%s:%s' % (scheme, glance_host, glance_port)
    _upload_tarball_by_url_v1(staging_path, image_id, url,
                              extra_headers, properties)


def _upload_tarball_by_url_v1(staging_path, image_id, glance_endpoint,
                              extra_headers, properties):
    """Create a tarball of the image and then stream that into Glance v1

    Using chunked-transfer-encoded HTTP.
    """
    # NOTE(johngarbutt) By default, there is no timeout.
    # To ensure the script does not hang if we lose connection
    # to glance, we add this socket timeout.
    # This is here so there is no chance the timeout out has
    # been adjusted by other library calls.
    socket.setdefaulttimeout(SOCKET_TIMEOUT_SECONDS)
    logging.debug("Uploading image %s with glance v1 api"
                  % image_id)

    url = "%(glance_endpoint)s/v1/images/%(image_id)s" % {
        'glance_endpoint': glance_endpoint,
        'image_id': image_id}
    logging.info("Writing image data to %s" % url)

    # NOTE(sdague): this is python 2.4, which means urlparse returns a
    # tuple, not a named tuple.
    # 0 - scheme
    # 1 - host:port (aka netloc)
    # 2 - path
    parts = urlparse(url)

    try:
        conn = _create_connection(parts[0], parts[1])
    except Exception, error:  # noqa
        logging.exception('Failed to connect %(url)s' % {'url': url})
        raise RetryableError(error)

    try:
        validate_image_status_before_upload_v1(conn, url, extra_headers)

        try:
            # NOTE(sirp): httplib under python2.4 won't accept
            # a file-like object to request
            conn.putrequest('PUT', parts[2])

            # NOTE(sirp): There is some confusion around OVF. Here's a summary
            # of where we currently stand:
            #   1. OVF as a container format is misnamed. We really should be
            #      using OVA since that is the name for the container format;
            #      OVF is the standard applied to the manifest file contained
            #      within.
            #   2. We're currently uploading a vanilla tarball. In order to be
            #      OVF/OVA compliant, we'll need to embed a minimal OVF
            #      manifest as the first file.

            # NOTE(dprince): In order to preserve existing Glance properties
            # we set X-Glance-Registry-Purge-Props on this request.
            headers = {
                'content-type': 'application/octet-stream',
                'transfer-encoding': 'chunked',
                'x-image-meta-is-public': 'False',
                'x-image-meta-status': 'queued',
                'x-image-meta-disk-format': 'vhd',
                'x-image-meta-container-format': 'ovf',
                'x-glance-registry-purge-props': 'False'}

            headers.update(**extra_headers)

            for key, value in properties.items():
                header_key = "x-image-meta-property-%s" % key.replace('_', '-')
                headers[header_key] = str(value)

            for header, value in headers.items():
                conn.putheader(header, value)
            conn.endheaders()
        except Exception, error:  # noqa
            logging.exception('Failed to upload %(url)s' % {'url': url})
            raise RetryableError(error)

        callback_data = {'bytes_written': 0}

        def send_chunked_transfer_encoded(chunk):
            chunk_len = len(chunk)
            callback_data['bytes_written'] += chunk_len
            try:
                conn.send("%x\r\n%s\r\n" % (chunk_len, chunk))
            except Exception, error:  # noqa
                logging.exception('Failed to upload when sending chunks')
                raise RetryableError(error)

        compression_level = properties.get('xenapi_image_compression_level')

        utils.create_tarball(
            None, staging_path, callback=send_chunked_transfer_encoded,
            compression_level=compression_level)

        send_chunked_transfer_encoded('')  # Chunked-Transfer terminator

        bytes_written = callback_data['bytes_written']
        logging.info("Wrote %d bytes to %s" % (bytes_written, url))

        resp = conn.getresponse()
        if resp.status == httplib.OK:
            return

        logging.error("Unexpected response while writing image data to %s: "
                      "Response Status: %i, Response body: %s"
                      % (url, resp.status, resp.read()))

        check_resp_status_and_retry(resp, image_id, url)

    finally:
        conn.close()


def _update_image_meta_v2(conn, extra_headers, properties, patch_path):
    # NOTE(sirp): There is some confusion around OVF. Here's a summary
    # of where we currently stand:
    #   1. OVF as a container format is misnamed. We really should be
    #      using OVA since that is the name for the container format;
    #      OVF is the standard applied to the manifest file contained
    #      within.
    #   2. We're currently uploading a vanilla tarball. In order to be
    #      OVF/OVA compliant, we'll need to embed a minimal OVF
    #      manifest as the first file.
    body = [
        {"path": "/container_format", "value": "ovf", "op": "add"},
        {"path": "/disk_format", "value": "vhd", "op": "add"},
        {"path": "/visibility", "value": "private", "op": "add"}]

    headers = {'Content-Type': 'application/openstack-images-v2.1-json-patch'}
    headers.update(**extra_headers)

    for key, value in properties.items():
        prop = {"path": "/%s" % key.replace('_', '-'),
                "value": str(value),
                "op": "add"}
        body.append(prop)
    body = json.dumps(body)

    conn.request('PATCH', patch_path, body=body, headers=headers)
    resp = conn.getresponse()
    resp.read()

    if resp.status == httplib.OK:
        return
    logging.error("Image meta was not updated. Status: %s, Reason: %s" % (
        resp.status, resp.reason))


def _upload_tarball_by_url_v2(staging_path, image_id, glance_endpoint,
                              extra_headers, properties):
    """Create a tarball of the image and then stream that into Glance v2

    Using chunked-transfer-encoded HTTP.
    """
    # NOTE(johngarbutt) By default, there is no timeout.
    # To ensure the script does not hang if we lose connection
    # to glance, we add this socket timeout.
    # This is here so there is no chance the timeout out has
    # been adjusted by other library calls.
    socket.setdefaulttimeout(SOCKET_TIMEOUT_SECONDS)
    logging.debug("Uploading imaged %s with glance v2 api"
                  % image_id)

    url = "%(glance_endpoint)s/v2/images/%(image_id)s/file" % {
        'glance_endpoint': glance_endpoint,
        'image_id': image_id}

    # NOTE(sdague): this is python 2.4, which means urlparse returns a
    # tuple, not a named tuple.
    # 0 - scheme
    # 1 - host:port (aka netloc)
    # 2 - path
    parts = urlparse(url)

    try:
        conn = _create_connection(parts[0], parts[1])
    except Exception, error:  # noqa
        raise RetryableError(error)

    try:
        mgt_url = "%(glance_endpoint)s/v2/images/%(image_id)s" % {
            'glance_endpoint': glance_endpoint,
            'image_id': image_id}
        mgt_parts = urlparse(mgt_url)
        mgt_path = mgt_parts[2]

        _update_image_meta_v2(conn, extra_headers, properties, mgt_path)

        validate_image_status_before_upload_v2(conn, url, extra_headers,
                                               mgt_path)

        try:
            conn.connect()
            # NOTE(sirp): httplib under python2.4 won't accept
            # a file-like object to request
            conn.putrequest('PUT', parts[2])

            headers = {
                'content-type': 'application/octet-stream',
                'transfer-encoding': 'chunked'}

            headers.update(**extra_headers)

            for header, value in headers.items():
                conn.putheader(header, value)
            conn.endheaders()
        except Exception, error:  # noqa
            logging.exception('Failed to upload %(url)s' % {'url': url})
            raise RetryableError(error)

        callback_data = {'bytes_written': 0}

        def send_chunked_transfer_encoded(chunk):
            chunk_len = len(chunk)
            callback_data['bytes_written'] += chunk_len
            try:
                conn.send("%x\r\n%s\r\n" % (chunk_len, chunk))
            except Exception, error:  # noqa
                logging.exception('Failed to upload when sending chunks')
                raise RetryableError(error)

        compression_level = properties.get('xenapi_image_compression_level')

        utils.create_tarball(
            None, staging_path, callback=send_chunked_transfer_encoded,
            compression_level=compression_level)

        send_chunked_transfer_encoded('')  # Chunked-Transfer terminator

        bytes_written = callback_data['bytes_written']
        logging.info("Wrote %d bytes to %s" % (bytes_written, url))

        resp = conn.getresponse()
        if resp.status == httplib.NO_CONTENT:
            return

        logging.error("Unexpected response while writing image data to %s: "
                      "Response Status: %i, Response body: %s"
                      % (url, resp.status, resp.read()))

        check_resp_status_and_retry(resp, image_id, url)

    finally:
        conn.close()


def check_resp_status_and_retry(resp, image_id, url):
    # Note(Jesse): This branch sorts errors into those that are permanent,
    # those that are ephemeral, and those that are unexpected.
    if resp.status in (httplib.BAD_REQUEST,                      # 400
                       httplib.UNAUTHORIZED,                     # 401
                       httplib.PAYMENT_REQUIRED,                 # 402
                       httplib.FORBIDDEN,                        # 403
                       httplib.METHOD_NOT_ALLOWED,               # 405
                       httplib.NOT_ACCEPTABLE,                   # 406
                       httplib.PROXY_AUTHENTICATION_REQUIRED,    # 407
                       httplib.CONFLICT,                         # 409
                       httplib.GONE,                             # 410
                       httplib.LENGTH_REQUIRED,                  # 411
                       httplib.PRECONDITION_FAILED,              # 412
                       httplib.REQUEST_ENTITY_TOO_LARGE,         # 413
                       httplib.REQUEST_URI_TOO_LONG,             # 414
                       httplib.UNSUPPORTED_MEDIA_TYPE,           # 415
                       httplib.REQUESTED_RANGE_NOT_SATISFIABLE,  # 416
                       httplib.EXPECTATION_FAILED,               # 417
                       httplib.UNPROCESSABLE_ENTITY,             # 422
                       httplib.LOCKED,                           # 423
                       httplib.FAILED_DEPENDENCY,                # 424
                       httplib.UPGRADE_REQUIRED,                 # 426
                       httplib.NOT_IMPLEMENTED,                  # 501
                       httplib.HTTP_VERSION_NOT_SUPPORTED,       # 505
                       httplib.NOT_EXTENDED,                     # 510
                       ):
        raise PluginError("Got Permanent Error response [%i] while "
                          "uploading image [%s] to glance [%s]"
                          % (resp.status, image_id, url))
    # Nova service would process the exception
    elif resp.status == httplib.NOT_FOUND:                        # 404
        exc = XenAPI.Failure('ImageNotFound')
        raise exc
    # NOTE(nikhil): Only a sub-set of the 500 errors are retryable. We
    # optimistically retry on 500 errors below.
    elif resp.status in (httplib.REQUEST_TIMEOUT,                # 408
                         httplib.INTERNAL_SERVER_ERROR,          # 500
                         httplib.BAD_GATEWAY,                    # 502
                         httplib.SERVICE_UNAVAILABLE,            # 503
                         httplib.GATEWAY_TIMEOUT,                # 504
                         httplib.INSUFFICIENT_STORAGE,           # 507
                         ):
        raise RetryableError("Got Ephemeral Error response [%i] while "
                             "uploading image [%s] to glance [%s]"
                             % (resp.status, image_id, url))
    else:
        # Note(Jesse): Assume unexpected errors are retryable. If you are
        # seeing this error message, the error should probably be added
        # to either the ephemeral or permanent error list.
        raise RetryableError("Got Unexpected Error response [%i] while "
                             "uploading image [%s] to glance [%s]"
                             % (resp.status, image_id, url))


def validate_image_status_before_upload_v1(conn, url, extra_headers):
    try:
        parts = urlparse(url)
        path = parts[2]
        image_id = path.split('/')[-1]
        # NOTE(nikhil): Attempt to determine if the Image has a status
        # of 'queued'. Because data will continued to be sent to Glance
        # until it has a chance to check the Image state, discover that
        # it is not 'active' and send back a 409. Hence, the data will be
        # unnecessarily buffered by Glance. This wastes time and bandwidth.
        # LP bug #1202785

        conn.request('HEAD', path, headers=extra_headers)
        head_resp = conn.getresponse()
        # NOTE(nikhil): read the response to re-use the conn object.
        body_data = head_resp.read(8192)
        if len(body_data) > 8:
            err_msg = ('Cannot upload data for image %(image_id)s as the '
                       'HEAD call had more than 8192 bytes of data in '
                       'the response body.' % {'image_id': image_id})
            raise PluginError("Got Permanent Error while uploading image "
                              "[%s] to glance [%s]. "
                              "Message: %s" % (image_id, url,
                                               err_msg))
        else:
            head_resp.read()

    except Exception, error:  # noqa
        logging.exception('Failed to HEAD the image %(image_id)s while '
                          'checking image status before attempting to '
                          'upload %(url)s' % {'image_id': image_id,
                                              'url': url})
        raise RetryableError(error)

    if head_resp.status != httplib.OK:
        logging.error("Unexpected response while doing a HEAD call "
                      "to image %s , url = %s , Response Status: "
                      "%i" % (image_id, url, head_resp.status))

        check_resp_status_and_retry(head_resp, image_id, url)

    else:
        image_status = head_resp.getheader('x-image-meta-status')
        if image_status not in ('queued', ):
            err_msg = ('Cannot upload data for image %(image_id)s as the '
                       'image status is %(image_status)s' %
                       {'image_id': image_id, 'image_status': image_status})
            logging.exception(err_msg)
            raise PluginError("Got Permanent Error while uploading image "
                              "[%s] to glance [%s]. "
                              "Message: %s" % (image_id, url,
                                               err_msg))
        else:
            logging.info('Found image %(image_id)s in status '
                         '%(image_status)s. Attempting to '
                         'upload.' % {'image_id': image_id,
                                      'image_status': image_status})


def validate_image_status_before_upload_v2(conn, url, extra_headers,
                                           get_path):
    try:
        parts = urlparse(url)
        path = parts[2]
        image_id = path.split('/')[-2]
        # NOTE(nikhil): Attempt to determine if the Image has a status
        # of 'queued'. Because data will continued to be sent to Glance
        # until it has a chance to check the Image state, discover that
        # it is not 'active' and send back a 409. Hence, the data will be
        # unnecessarily buffered by Glance. This wastes time and bandwidth.
        # LP bug #1202785
        conn.request('GET', get_path, headers=extra_headers)
        get_resp = conn.getresponse()
    except Exception, error:  # noqa
        logging.exception('Failed to GET the image %(image_id)s while '
                          'checking image status before attempting to '
                          'upload %(url)s' % {'image_id': image_id,
                                              'url': url})
        raise RetryableError(error)

    if get_resp.status != httplib.OK:
        logging.error("Unexpected response while doing a GET call "
                      "to image %s , url = %s , Response Status: "
                      "%i" % (image_id, url, get_resp.status))

        check_resp_status_and_retry(get_resp, image_id, url)

    else:
        body = json.loads(get_resp.read())
        image_status = body['status']
        if image_status not in ('queued', ):
            err_msg = ('Cannot upload data for image %(image_id)s as the '
                       'image status is %(image_status)s' %
                       {'image_id': image_id, 'image_status': image_status})
            logging.exception(err_msg)
            raise PluginError("Got Permanent Error while uploading image "
                              "[%s] to glance [%s]. "
                              "Message: %s" % (image_id, url,
                                               err_msg))
        else:
            logging.info('Found image %(image_id)s in status '
                         '%(image_status)s. Attempting to '
                         'upload.' % {'image_id': image_id,
                                      'image_status': image_status})
    get_resp.read()


def download_vhd2(session, image_id, endpoint,
                  uuid_stack, sr_path, extra_headers, api_version=1):
    # Download an image from Glance v2, unbundle it, and then deposit the
    # VHDs into the storage repository.
    staging_path = utils.make_staging_area(sr_path)
    try:
        # Download tarball into staging area and extract it
        # TODO(mfedosin): remove this check when v1 is deprecated.
        if api_version == 1:
            _download_tarball_by_url_v1(
                sr_path, staging_path, image_id,
                endpoint, extra_headers)
        else:
            _download_tarball_by_url_v2(
                sr_path, staging_path, image_id,
                endpoint, extra_headers)

        # Move the VHDs from the staging area into the storage repository
        return utils.import_vhds(sr_path, staging_path, uuid_stack)
    finally:
        utils.cleanup_staging_area(staging_path)


def upload_vhd2(session, vdi_uuids, image_id, endpoint, sr_path,
                extra_headers, properties, api_version=1):
    """Bundle the VHDs comprising an image and then stream them into Glance"""
    staging_path = utils.make_staging_area(sr_path)
    try:
        utils.prepare_staging_area(sr_path, staging_path, vdi_uuids)
        # TODO(mfedosin): remove this check when v1 is deprecated.
        if api_version == 1:
            _upload_tarball_by_url_v1(staging_path, image_id,
                                      endpoint, extra_headers, properties)
        else:
            _upload_tarball_by_url_v2(staging_path, image_id,
                                      endpoint, extra_headers, properties)
    finally:
        utils.cleanup_staging_area(staging_path)


if __name__ == '__main__':
    utils.register_plugin_calls(download_vhd2, upload_vhd2)