Python cloudstorage.listbucket方法代碼示例

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def _next_file(self):
    """Find next filename.

    self._filenames may need to be expanded via listbucket.

    Returns:
      None if no more file is left. Filename otherwise.
    """
    while True:
      if self._bucket_iter:
        try:
          return self._bucket_iter.next().filename
        except StopIteration:
          self._bucket_iter = None
          self._bucket = None
      if self._index >= len(self._filenames):
        return
      filename = self._filenames[self._index]
      self._index += 1
      if self._delimiter is None or not filename.endswith(self._delimiter):
        return filename
      self._bucket = cloudstorage.listbucket(filename,
                                             delimiter=self._delimiter)
      self._bucket_iter = iter(self._bucket) 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def GetBillingProjects():
    """return a list of all projects we have billing export informaiton for."""
    projects = Projects.get_by_id('Projects')
    if projects is not None:
        logging.debug('using cached projects')
        return projects.projects
    project_list = []
    current_project = None
    for billing_object in gcs.listbucket(BUCKET,
                                         delimiter='/'):
        project_match = MatchProjectDate(billing_object.filename)
        if not project_match:
            continue
        project_name = project_match[0]
        if current_project != project_name:
            project_list.append(project_name)
            current_project = project_name
    projects = Projects(id='Projects')
    projects.projects = project_list
    projects.put()
    return project_list 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def list_bucket(self, bucket):
        """Create several files and paginate through them."""

        self.response.write('Listbucket result:\n')

        # Production apps should set page_size to a practical value.
        page_size = 1
        stats = cloudstorage.listbucket(bucket + '/foo', max_keys=page_size)
        while True:
            count = 0
            for stat in stats:
                count += 1
                self.response.write(repr(stat))
                self.response.write('\n')

            if count != page_size or count == 0:
                break
            stats = cloudstorage.listbucket(
                bucket + '/foo', max_keys=page_size, marker=stat.filename)
# [END list_bucket] 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def _try_to_clean_garbage(self, writer_spec, exclude_list=()):
    """Tries to remove any files created by this shard that aren't needed.

    Args:
      writer_spec: writer_spec for the MR.
      exclude_list: A list of filenames (strings) that should not be
        removed.
    """


    tmpl = string.Template(self._TMPFILE_PREFIX)
    prefix = tmpl.substitute(
        id=self.status.mapreduce_id, shard=self.status.shard)
    bucket = self._get_tmp_gcs_bucket(writer_spec)
    account_id = self._get_tmp_account_id(writer_spec)
    for f in cloudstorage.listbucket("/%s/%s" % (bucket, prefix),
                                     _account_id=account_id):
      if f.filename not in exclude_list:
        self._remove_tmpfile(f.filename, self.status.writer_spec) 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def _try_to_clean_garbage(self, writer_spec, exclude_list=()):
    """Tries to remove any files created by this shard that aren't needed.

    Args:
      writer_spec: writer_spec for the MR.
      exclude_list: A list of filenames (strings) that should not be
        removed.
    """
    # Try to remove garbage (if any). Note that listbucket is not strongly
    # consistent so something might survive.
    tmpl = string.Template(self._TMPFILE_PREFIX)
    prefix = tmpl.substitute(
        id=self.status.mapreduce_id, shard=self.status.shard)
    bucket = self._get_tmp_gcs_bucket(writer_spec)
    account_id = self._get_tmp_account_id(writer_spec)
    for f in cloudstorage.listbucket("/%s/%s" % (bucket, prefix),
                                     _account_id=account_id):
      if f.filename not in exclude_list:
        self._remove_tmpfile(f.filename, self.status.writer_spec) 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def _get_matching_stats(self, patterned_uris):
    stats = []
    patterns = {}
    for patterned_uri in patterned_uris:
      patterned_uri_split = patterned_uri.split('/')
      bucket = '/'.join(patterned_uri_split[1:3])
      pattern = '/'.join(patterned_uri_split[1:])
      try:
        if pattern not in patterns[bucket]:
          patterns[bucket].append(pattern)
      except KeyError:
        patterns[bucket] = [pattern]
    for bucket in patterns:
      for stat in gcs.listbucket(bucket):
        if not stat.is_dir:
          for pattern in patterns[bucket]:
            if fnmatch(stat.filename, pattern):
              stats.append(stat)
              break
    return stats 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def split_input(cls, mapper_spec):
    """Returns a list of input readers.

    An equal number of input files are assigned to each shard (+/- 1). If there
    are fewer files than shards, fewer than the requested number of shards will
    be used. Input files are currently never split (although for some formats
    could be and may be split in a future implementation).

    Args:
      mapper_spec: an instance of model.MapperSpec.

    Returns:
      A list of InputReaders. None when no input data can be found.
    """
    reader_spec = _get_params(mapper_spec, allow_old=False)
    bucket = reader_spec[cls.BUCKET_NAME_PARAM]
    filenames = reader_spec[cls.OBJECT_NAMES_PARAM]
    delimiter = reader_spec.get(cls.DELIMITER_PARAM)
    account_id = reader_spec.get(cls._ACCOUNT_ID_PARAM)
    buffer_size = reader_spec.get(cls.BUFFER_SIZE_PARAM)

    # Gather the complete list of files (expanding wildcards)
    all_filenames = []
    for filename in filenames:
      if filename.endswith("*"):
        all_filenames.extend(
            [file_stat.filename for file_stat in cloudstorage.listbucket(
                "/" + bucket + "/" + filename[:-1], delimiter=delimiter,
                _account_id=account_id)])
      else:
        all_filenames.append("/%s/%s" % (bucket, filename))

    # Split into shards
    readers = []
    for shard in range(0, mapper_spec.shard_count):
      shard_filenames = all_filenames[shard::mapper_spec.shard_count]
      if shard_filenames:
        readers.append(cls(
            shard_filenames, buffer_size=buffer_size, _account_id=account_id,
            delimiter=delimiter))
    return readers 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def tearDown(self):
    # for gcs_object in gcs.listbucket(main.BUCKET):
    #  gcs.delete(gcs_object.filename)
    self.testbed.deactivate() 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def create_files_for_list_bucket(self, bucket):
        self.response.write('Creating more files for listbucket...\n')
        filenames = [bucket + n for n in [
            '/foo1', '/foo2', '/bar', '/bar/1', '/bar/2', '/boo/']]
        for f in filenames:
            self.create_file(f)

# [START list_bucket] 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def list_bucket_directory_mode(self, bucket):
        self.response.write('Listbucket directory mode result:\n')
        for stat in cloudstorage.listbucket(bucket + '/b', delimiter='/'):
            self.response.write(stat)
            self.response.write('\n')
            if stat.is_dir:
                for subdir_file in cloudstorage.listbucket(
                        stat.filename, delimiter='/'):
                    self.response.write('  {}'.format(subdir_file))
                    self.response.write('\n')

# [START delete_files] 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def list_files(bucket, subdir=None, batch_size=100):
  """Yields filenames and stats of files inside subdirectory of a bucket.

  It always lists directories recursively.

  Arguments:
    bucket: a bucket to list.
    subdir: subdirectory to list files from or None for an entire bucket.

  Yields:
    Tuples of (filename, stats), where filename is relative to the bucket root
    directory.
  """
  # When listing an entire bucket, gcs expects /<bucket> without ending '/'.
  path_prefix = '/%s/%s' % (bucket, subdir) if subdir else '/%s' % bucket
  bucket_prefix = '/%s/' % bucket
  marker = None
  retry_params = _make_retry_params()
  while True:
    files_stats = cloudstorage.listbucket(
        path_prefix=path_prefix,
        marker=marker,
        max_keys=batch_size,
        retry_params=retry_params)
    # |files_stats| is an iterable, need to iterate through it to figure out
    # whether it's empty or not.
    empty = True
    for stat in files_stats:
      # Restart next listing from the last fetched file.
      marker = stat.filename

      # pylint: disable=C0301
      # https://developers.google.com/appengine/docs/python/googlecloudstorageclient/gcsfilestat_class
      if stat.is_dir:
        continue
      empty = False
      assert stat.filename.startswith(bucket_prefix)
      yield stat.filename[len(bucket_prefix):], stat
    # Last batch was empty -> listed all files.
    if empty:
      break 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def ls(self, path, dir_only=False):
        padded = path if path[-1] == '/' else path+'/'
        return [f.filename for f in gcs.listbucket(padded, delimiter='/') if f.is_dir or not dir_only] 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def file_exists(self, path):
        match = list(gcs.listbucket(path.rstrip('/')))
        return path.rstrip('/') in [stat.filename for stat in match] 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def path_exists(self, path):
        match = list(gcs.listbucket(path.rstrip('/'), delimiter='/'))
        return path.rstrip('/') in [stat.filename.rstrip('/') for stat in match] 

# 需要導入模塊: import cloudstorage [as 別名]
# 或者: from cloudstorage import listbucket [as 別名]
def _execute(self):
    self._get_ml_job_id()

    # Find directory where newest saved model is located
    bucket = self._params['jobDir']
    stats = gcs.listbucket(bucket[4:])
    newest_file = None

    for stat in stats:
      if stat.filename.find('saved_model.pb') != -1:
        if newest_file is None:
          newest_file = stat
          if newest_file:
            if stat.st_ctime > newest_file.st_ctime:
              newest_file = stat

    body = {
       	"name": self._params['versionName'],
       	"description": "Test from python",
       	"deploymentUri": ("gs:/" + newest_file.
                          filename[0:newest_file.filename.rfind('/')]),
       	"pythonVersion": self._params['pythonVersion'],
       	"runtimeVersion": self._params['runtimeVersion'],
       	"framework": self._params['framework']
    }

    project_id = 'projects/%s' % self._params['project']
    self._get_ml_client()
    request = self._ml_client.projects().models().versions().create(
        parent=project_id + "/models/" + self._params['modelName'], body=body)
    response = self.retry(request.execute)()
    self._enqueue('MLOperationWaiter', {'operation_name': response['name']}, 60)