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import base64
import pytest
import random
import sys
import uuid
from io import BytesIO
from twisted.internet.defer import gatherResults
from twisted.internet.defer import returnValue
from leap.soledad.client._db.blobs import BlobDoc
def payload(size):
random.seed(1337) # same seed to avoid different bench results
payload_bytes = bytearray(random.getrandbits(8) for _ in xrange(size))
# encode as base64 to avoid ascii encode/decode errors
return base64.b64encode(payload_bytes)[:size] # remove b64 overhead
def reclaim_free_space(client):
return client.blobmanager.local.dbpool.runQuery("VACUUM")
#
# Download tests
#
@pytest.inlineCallbacks
def load_up_downloads(client, amount, data):
# delete blobs from server
ids = yield client.blobmanager.remote_list(namespace='payload')
deferreds = []
for blob_id in ids:
d = client.blobmanager.delete(blob_id, namespace='payload')
deferreds.append(d)
yield gatherResults(deferreds)
# deliver some incoming blobs
deferreds = []
for i in xrange(amount):
fd = BytesIO(data)
doc = BlobDoc(fd, blob_id=uuid.uuid4().hex)
size = sys.getsizeof(fd)
d = client.blobmanager.put(doc, size, namespace='payload')
deferreds.append(d)
yield gatherResults(deferreds)
@pytest.inlineCallbacks
def download_blobs(client, pending):
deferreds = []
for item in pending:
d = client.blobmanager.get(item, namespace='payload')
deferreds.append(d)
yield gatherResults(deferreds)
def create_blobs_download(amount, size):
group = 'test_blobs_download_%d_%dk' % (amount, (size / 1000))
@pytest.inlineCallbacks
@pytest.mark.benchmark(group=group)
def test(soledad_client, txbenchmark_with_setup):
"""
Download many blobs of the same size.
"""
client = soledad_client()
blob_payload = payload(size)
yield load_up_downloads(client, amount, blob_payload)
@pytest.inlineCallbacks
def setup():
yield client.blobmanager.local.dbpool.runQuery(
"DELETE FROM blobs WHERE 1;")
yield reclaim_free_space(client)
returnValue(soledad_client(force_fresh_db=True))
@pytest.inlineCallbacks
def download(client):
pending = yield client.blobmanager.remote_list(
namespace='payload')
yield download_blobs(client, pending)
yield client.sync()
yield txbenchmark_with_setup(setup, download)
return test
# ATTENTION: update the documentation in ../docs/benchmarks.rst if you change
# the number of docs or the doc sizes for the tests below.
test_blobs_download_10_1000k = create_blobs_download(10, 1000 * 1000)
test_blobs_download_100_100k = create_blobs_download(100, 100 * 1000)
test_blobs_download_1000_10k = create_blobs_download(1000, 10 * 1000)
#
# Upload tests
#
@pytest.inlineCallbacks
def load_up_uploads(client, amount, data):
# delete blobs from server
ids = yield client.blobmanager.remote_list(namespace='payload')
deferreds = []
for blob_id in ids:
d = client.blobmanager.delete(blob_id, namespace='payload')
deferreds.append(d)
yield gatherResults(deferreds)
@pytest.inlineCallbacks
def upload_blobs(client, amount, data):
deferreds = []
for i in xrange(amount):
fd = BytesIO(data)
doc = BlobDoc(fd, blob_id=uuid.uuid4().hex)
size = sys.getsizeof(fd)
d = client.blobmanager.put(doc, size, namespace='payload')
deferreds.append(d)
yield gatherResults(deferreds)
def create_blobs_upload(amount, size):
group = 'test_blobs_upload_%d_%dk' % (amount, (size / 1000))
@pytest.inlineCallbacks
@pytest.mark.benchmark(group=group)
def test(soledad_client, txbenchmark_with_setup):
"""
Upload many blobs of the same size.
"""
client = soledad_client()
blob_payload = payload(size)
@pytest.inlineCallbacks
def setup():
yield load_up_uploads(client, amount, blob_payload)
returnValue(soledad_client(force_fresh_db=True))
@pytest.inlineCallbacks
def upload(client):
yield upload_blobs(client, amount, blob_payload)
yield client.sync()
yield txbenchmark_with_setup(setup, upload)
return test
# ATTENTION: update the documentation in ../docs/benchmarks.rst if you change
# the number of docs or the doc sizes for the tests below.
test_blobs_upload_10_1000k = create_blobs_upload(10, 1000 * 1000)
test_blobs_upload_100_100k = create_blobs_upload(100, 100 * 1000)
test_blobs_upload_1000_10k = create_blobs_upload(1000, 10 * 1000)
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