Python boto.storage_uri方法代码示例

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def _UploadStream(self, stream, remote_path, update_callback=None):
    """Uploads a file object to Google Cloud Storage.

    Args:
      stream (file): the file-like object pointing to data to upload.
      remote_path (str): the remote path to store the data to.
      update_callback (func): an optional function called as upload progresses.
    Raises:
      errors.RetryableError: when the upload encounters an error that's worth
        retrying.
    """
    if not self._boto_configured:
      self._InitBoto()

    try:
      dst_uri = boto.storage_uri(remote_path, u'gs')
      dst_uri.new_key().set_contents_from_stream(stream, cb=update_callback)
    except boto.exception.GSDataError as e:
      # This is usually raised when the connection is broken, and deserves to
      # be retried.
      raise errors.RetryableError(str(e)) 

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def create_bucket(self):
        now = time.time()
        BUCKET = 'training-%d' % now

        # Instantiate a BucketStorageUri object.
        uri = boto.storage_uri(BUCKET, self.GOOGLE_STORAGE)
        # Try to create the bucket.
        try:
        # If the default project is defined,
        # you do not need the headers.
        # Just call: uri.create_bucket()
            header_values = {"x-goog-api-version": "2",
            "x-goog-project-id": self.project_id}
            uri.create_bucket(headers=header_values)
            return BUCKET
        except boto.exception.StorageCreateError, e:
            print 'Failed to create bucket:', e

    # delete_bucket: deleting a bucket
    #
    # params:
    #           bucket_name: the name of the bucket to delete
    #           project_id: the project id where the bucket to delete is 

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def _StorageURI(self, bucket, object_name=None):
    """Return a storage_uri for the given resource.

    Args:
      bucket: the name of a bucket.
      object_name: the name of an object, if given.

    Returns:
      A storage_uri. If object is given, the uri will be for the bucket-object
      combination. If object is not given, the uri will be for the bucket.
    """

    if object_name is not None:
      path = '%s/%s' % (bucket, object_name)
    else:
      path = bucket
    storage_uri = boto.storage_uri(path, 'gs')
    return storage_uri 

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def get_uri(self):
        return boto.storage_uri(self.path, 'gs') 

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def handle_uploaded_file(f, user):
    gcs_bucket = settings.GCS_BUCKET
    user_key = md5.md5(str(user.username)).hexdigest()
    # Sometimes things have paths in them? Windows used to do this.
    name = f.name.split("/")[-1]
    file_key = "%s/%s" % (user_key, name)
    uri = boto.storage_uri("%s/%s" % (gcs_bucket, file_key), "gs")
    uri.set_contents_from_string(f.read())
    return "http://%s/%s" % (gcs_bucket, file_key) 

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def upload_file(self, dir, filename, bucket_name):

        with open(os.path.join(dir, filename), 'r') as localfile:

            dst_uri = boto.storage_uri(bucket_name + '/' + filename, self.GOOGLE_STORAGE)
            dst_uri.new_key().set_contents_from_file(localfile)

    # define_bucket: setting a bucket which will be used to store training data 

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def delete_bucket(self, bucket_name, project_id):

        uri = boto.storage_uri(bucket_name, self.GOOGLE_STORAGE)
        for obj in uri.get_bucket():
            #print 'Deleting object: %s...' % obj.name
            obj.delete()
        #print 'Deleting bucket: %s...' % uri.bucket_name
        uri.delete_bucket()

## Method which is use to train a google prediction regression or classification model
    # @param self the object pointer
    # @param inputs the inputs
    # @param outputs the outputs
    # @param train the integer array of positions for the data used for training
    # @return a list containing the bucket name (to clean it at the end) and the model id 

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def storage_uri_for_key(key):
    """Returns a StorageUri for the given key.

    :type key: :class:`boto.s3.key.Key` or subclass
    :param key: URI naming bucket + optional object.
    """
    if not isinstance(key, boto.s3.key.Key):
        raise InvalidUriError('Requested key (%s) is not a subclass of '
                              'boto.s3.key.Key' % str(type(key)))
    prov_name = key.bucket.connection.provider.get_provider_name()
    uri_str = '%s://%s/%s' % (prov_name, key.bucket.name, key.name)
    return storage_uri(uri_str) 

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def connect(self, access_key_id=None, secret_access_key=None, **kwargs):
        """
        Opens a connection to appropriate provider, depending on provider
        portion of URI. Requires Credentials defined in boto config file (see
        boto/pyami/config.py).
        @type storage_uri: StorageUri
        @param storage_uri: StorageUri specifying a bucket or a bucket+object
        @rtype: L{AWSAuthConnection<boto.gs.connection.AWSAuthConnection>}
        @return: A connection to storage service provider of the given URI.
        """

        connection_args = dict(self.connection_args or ())
        # Use OrdinaryCallingFormat instead of boto-default
        # SubdomainCallingFormat because the latter changes the hostname
        # that's checked during cert validation for HTTPS connections,
        # which will fail cert validation (when cert validation is enabled).
        # Note: the following import can't be moved up to the start of
        # this file else it causes a config import failure when run from
        # the resumable upload/download tests.
        from boto.s3.connection import OrdinaryCallingFormat
        connection_args['calling_format'] = OrdinaryCallingFormat()
        connection_args.update(kwargs)
        if not self.connection:
            if self.scheme == 's3':
                from boto.s3.connection import S3Connection
                self.connection = S3Connection(access_key_id,
                                               secret_access_key,
                                               **connection_args)
            elif self.scheme == 'gs':
                from boto.gs.connection import GSConnection
                self.connection = GSConnection(access_key_id,
                                               secret_access_key,
                                               **connection_args)
            elif self.scheme == 'file':
                from boto.file.connection import FileConnection
                self.connection = FileConnection(self)
            else:
                raise InvalidUriError('Unrecognized scheme "%s"' %
                                      self.scheme)
        self.connection.debug = self.debug
        return self.connection 

# 需要导入模块: import boto [as 别名]
# 或者: from boto import storage_uri [as 别名]
def connect(self, access_key_id=None, secret_access_key=None, **kwargs):
        """
        Opens a connection to appropriate provider, depending on provider
        portion of URI. Requires Credentials defined in boto config file (see
        boto/pyami/config.py).
        @type storage_uri: StorageUri
        @param storage_uri: StorageUri specifying a bucket or a bucket+object
        @rtype: L{AWSAuthConnection<boto.gs.connection.AWSAuthConnection>}
        @return: A connection to storage service provider of the given URI.
        """
        connection_args = dict(self.connection_args or ())

        if (hasattr(self, 'suppress_consec_slashes') and
                'suppress_consec_slashes' not in connection_args):
            connection_args['suppress_consec_slashes'] = (
                self.suppress_consec_slashes)
        connection_args.update(kwargs)
        if not self.connection:
            if self.scheme in self.provider_pool:
                self.connection = self.provider_pool[self.scheme]
            elif self.scheme == 's3':
                from boto.s3.connection import S3Connection
                self.connection = S3Connection(access_key_id,
                                               secret_access_key,
                                               **connection_args)
                self.provider_pool[self.scheme] = self.connection
            elif self.scheme == 'gs':
                from boto.gs.connection import GSConnection
                # Use OrdinaryCallingFormat instead of boto-default
                # SubdomainCallingFormat because the latter changes the hostname
                # that's checked during cert validation for HTTPS connections,
                # which will fail cert validation (when cert validation is
                # enabled).
                #
                # The same is not true for S3's HTTPS certificates. In fact,
                # we don't want to do this for S3 because S3 requires the
                # subdomain to match the location of the bucket. If the proper
                # subdomain is not used, the server will return a 301 redirect
                # with no Location header.
                #
                # Note: the following import can't be moved up to the
                # start of this file else it causes a config import failure when
                # run from the resumable upload/download tests.
                from boto.s3.connection import OrdinaryCallingFormat
                connection_args['calling_format'] = OrdinaryCallingFormat()
                self.connection = GSConnection(access_key_id,
                                               secret_access_key,
                                               **connection_args)
                self.provider_pool[self.scheme] = self.connection
            elif self.scheme == 'file':
                from boto.file.connection import FileConnection
                self.connection = FileConnection(self)
            else:
                raise InvalidUriError('Unrecognized scheme "%s"' %
                                      self.scheme)
        self.connection.debug = self.debug
        return self.connection