Python snappy.StreamDecompressor方法代碼示例

# 需要導入模塊: import snappy [as 別名]
# 或者: from snappy import StreamDecompressor [as 別名]
def _read_with_snappy(stream: INetStream, length: int) -> bytes:
    decompressor = StreamDecompressor()
    data = io.BytesIO()

    chunk_size = min(length, MAX_CHUNK_SIZE)
    chunk = await stream.read(chunk_size)
    remaining = length
    while chunk:
        chunk = decompressor.decompress(chunk)
        data.write(chunk)
        remaining -= len(chunk)

        if not remaining:
            break

        chunk = await stream.read(chunk_size)
    decompressor.flush()
    return data.getvalue() 

# 需要導入模塊: import snappy [as 別名]
# 或者: from snappy import StreamDecompressor [as 別名]
def __init__(self, infile, mode, **kwargs):
        import snappy

        self.details = {"size": 999999999}  # not true, but OK if we don't seek
        super().__init__(fs=None, path="snappy", mode=mode.strip("b") + "b", **kwargs)
        self.infile = infile
        if "r" in mode:
            self.codec = snappy.StreamDecompressor()
        else:
            self.codec = snappy.StreamCompressor() 

# 需要導入模塊: import snappy [as 別名]
# 或者: from snappy import StreamDecompressor [as 別名]
def __init__(self, socket):
        self._decompressor = snappy.StreamDecompressor()
        self._compressor = snappy.StreamCompressor()
        super(SnappySocket, self).__init__(socket) 

# 需要導入模塊: import snappy [as 別名]
# 或者: from snappy import StreamDecompressor [as 別名]
def get_object(self, session: aiohttp.ClientSession, progress_update_fn: Callable) -> None:
        """Method to get the object from S3 after the pre-signed URL has been obtained

        Args:
            session: The current aiohttp session
            progress_update_fn: A callable with arg "completed_bytes" (int) indicating how many bytes have been
                                downloaded in since last called

        Returns:
            None
        """
        try:
            decompressor = snappy.StreamDecompressor()
            timeout = aiohttp.ClientTimeout(total=None, connect=2 * 60, sock_connect=None, sock_read=5*60)

            async with session.get(self.presigned_s3_url, timeout=timeout) as response:
                if response.status != 200:
                    # An error occurred
                    body = await response.text()
                    raise IOError(f"Failed to get {self.object_details.dataset_path} to storage backend."
                                  f" Status: {response.status}. Response: {body}")

                async with aiofiles.open(self.object_details.object_path, 'wb') as fd:
                    while True:
                        chunk = await response.content.read(self.download_chunk_size)
                        if not chunk:
                            fd.write(decompressor.flush())
                            break

                        decompressed_chunk = decompressor.decompress(chunk)
                        await fd.write(decompressed_chunk)
                        progress_update_fn(completed_bytes=len(decompressed_chunk))
        except Exception as err:
            logger.exception(err)
            raise IOError(f"Failed to get {self.object_details.dataset_path} from storage backend. {err}") 

# 需要導入模塊: import snappy [as 別名]
# 或者: from snappy import StreamDecompressor [as 別名]
def _create_decompressor(self, alg):
        if alg == "snappy":
            return snappy.StreamDecompressor()
        elif alg == "lzma":
            return lzma.LZMADecompressor()
        elif alg == "zstd":
            return zstd.ZstdDecompressor().decompressobj()
        raise InvalidConfigurationError("invalid compression algorithm: {!r}".format(alg)) 

# 需要導入模塊: import snappy [as 別名]
# 或者: from snappy import StreamDecompressor [as 別名]
def __init__(self, next_fp, mode):
        if snappy is None:
            raise io.UnsupportedOperation("Snappy is not available")

        if mode == "rb":
            self.decr = snappy.StreamDecompressor()
            self.encr = None
        elif mode == "wb":
            self.decr = None
            self.encr = snappy.StreamCompressor()
        else:
            raise io.UnsupportedOperation("unsupported mode for SnappyFile")

        super().__init__(next_fp)
        self.decr_done = False 

# 需要導入模塊: import snappy [as 別名]
# 或者: from snappy import StreamDecompressor [as 別名]
def restore(script):
    # Build a list of metrics to restore from our object store and globbing
    metrics = search(script)

    # For each metric, find the date we want
    for i in metrics.keys():
        objs = metrics[i]
        d = findBackup(script, objs, script.options.date)
        logger.info("Restoring %s from timestamp %s" % (i, d))

        blobgz  = script.store.get("%s%s/%s.wsp.%s" \
                % (script.options.storage_path, i, d, script.options.algorithm))
        blobSHA = script.store.get("%s%s/%s.sha1" \
                % (script.options.storage_path, i, d))

        if blobgz is None:
            logger.warning("Skipping missing file in object store: %s/%s.wsp.%s" \
                    % (i, d, script.options.algorithm))
            continue

        # Decompress
        blobgz = StringIO(blobgz)
        blob = None
        if script.options.algorithm == "gz":
            fd = gzip.GzipFile(fileobj=blobgz, mode="rb")
            blob = fd.read()
            fd.close()
        elif script.options.algorithm == "sz":
            compressor = snappy.StreamDecompressor()
            blob = compressor.decompress(blobgz.getvalue())
            try:
                compressor.flush()
            except UncompressError as e:
                logger.error("Corrupt file in store: %s%s/%s.wsp.sz  Error %s" \
                        % (script.options.storage_path, i, d, str(e)))
                continue

        # Verify
        if blobSHA is None:
            logger.warning("Missing SHA1 checksum file...no verification")
        else:
            if hashlib.sha1(blob).hexdigest() != blobSHA:
                logger.warning("Backup does NOT verify, skipping metric %s" \
                               % i)
                continue

        heal(script, i, blob)

        # Clean up
        del blob
        blobgz.close()