def run_loop(self,
image_capture,
time_file,
sym_key="a" * 16,
interval=3600):
while True:
try:
timer_chunk = TimeKeeper()
total_id = timer_chunk.start_clock_unique()
timestamp_data = int(time.time())
block_id = (timestamp_data - self.start_time) / interval
# Take a picture
picture_name = "%s%d.jpg" % (self.name, block_id)
image_capture(picture_name)
print picture_name
# load image
with open(picture_name, 'r') as f:
picture = f.read()
chunk_tmp = ChunkData()
chunk_tmp.add_entry(
PictureEntry(timestamp_data,
picture_name,
picture,
time_keeper=timer_chunk))
cur_time = timer()
cloud_chunk = self._generate_cloud_chunk(
block_id, sym_key, chunk_tmp, timer_chunk)
chunk_creation = timer() - cur_time
len_normal = len(chunk_tmp.encode(use_compression=False))
len_compressed = len(
compress_data(chunk_tmp.encode(use_compression=True)))
cloud_chunk_encoded = cloud_chunk.encode()
length_final = len(cloud_chunk_encoded)
cur_time = timer()
self._store_to_cloud(cloud_chunk_encoded)
chunk_store = timer() - cur_time
times = timer_chunk.logged_times
time_file.write(
"%s, %s, %s, %s, %s, %s, %d, %d, %d,\n" %
(times['chunk_compression'], times['gcm_encryption'],
times['ecdsa_signature'],
times['time_lepton_compression'], chunk_creation * 1000,
chunk_store * 1000, len_normal, len_compressed,
length_final))
time_file.flush()
timer_chunk.stop_clock_unique('time_total', total_id)
time.sleep(interval -
int(timer_chunk.logged_times['time_total'] / 1000))
except RuntimeError as e:
print e.message
logging.error("Exception occured %s" % e.message)
def run_benchmark_s3_talos(num_rounds,
out_logger,
bucket_name,
private_key=BitcoinVersionedPrivateKey(PRIVATE_KEY),
policy_nonce=base64.b64decode(NONCE),
stream_id=STREAMID,
txid=TXID,
chunk_size=100000,
do_delete=True,
do_sig=False):
key = os.urandom(32)
owner = private_key.public_key().address()
identifier = DataStreamIdentifier(owner, stream_id, policy_nonce, txid)
vc_client = TalosVCRestClient()
storage = TalosS3Storage(bucket_name)
for round_bench in range(num_rounds):
try:
time_keeper = TimeKeeper()
#chunk_data = generate_data(size=chunk_size)
chunk_data = DummyData(8500)
global_id = time_keeper.start_clock_unique()
chunk = generate_random_chunk_from_data(chunk_data,
private_key,
round_bench,
identifier,
time_keeper=time_keeper)
store_chunk(storage,
vc_client,
chunk,
time_keeper=time_keeper,
do_sig=do_sig)
time_keeper.stop_clock_unique("time_s3_store_chunk", global_id)
token_time_id = time_keeper.start_clock_unique()
token = generate_query_token(owner, stream_id, str(bytearray(16)),
chunk.key, private_key)
time_keeper.stop_clock_unique("time_token_create", token_time_id)
global_id = time_keeper.start_clock_unique()
chunk = fetch_chunk(storage,
vc_client,
token,
global_id=global_id,
time_keeper=time_keeper)
data = chunk.get_and_check_chunk_data(aes_key,
compression_used=False,
time_keeper=time_keeper,
do_decode=False)
time_keeper.stop_clock_unique("time_s3_get_chunk", global_id)
if chunk is None:
print "Round %d error" % round_bench
else:
print "Round %d ok Chunk size: %d" % (round_bench,
len(chunk.encode()))
out_logger.log_times_keeper(time_keeper)
except Exception as e:
print "Round %d error: %s" % (round_bench, e)
print "DONE"
if do_delete:
clean_bucket(storage.s3, bucket_name)
