Merge pull request #12 from logos-co/test-edge-cases

Test/da edge cases
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Roman Zajic 2025-03-27 16:10:55 +08:00 committed by GitHub
commit c3ef9302c0
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5 changed files with 71 additions and 6 deletions

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@ -28,6 +28,10 @@ mempool_publish_strategy: !SampleSubnetworks
secs: 0
nanos: 100000000
replication_settings:
seen_message_cache_size: 204800
seen_message_ttl_secs: 900
# Tracing
tracing_settings:
logger: Stdout

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@ -40,4 +40,4 @@ class BaseClient:
def print_request_size(self, data):
body_size = len(data) if data else 0
body_kb = body_size / 1024
logger.debug(f"Body size: {body_kb:.2f}kB")
logger.debug(f"Request body size: {body_kb:.2f}kB")

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@ -15,7 +15,7 @@ def get_env_var(var_name, default=None):
# Configuration constants. Need to be upercase to appear in reports
DEFAULT_NOMOS_IMAGE = "ghcr.io/logos-co/nomos-node:testnet"
DEFAULT_NOMOS_IMAGE = "ghcr.io/logos-co/nomos:testnet"
NOMOS_IMAGE = get_env_var("NOMOS_IMAGE", DEFAULT_NOMOS_IMAGE)
DEFAULT_PROXY_IMAGE = "bitnami/configurable-http-proxy:latest"

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@ -1,6 +1,4 @@
import json
import random
import pytest
from src.client.nomos_cli import NomosCli
@ -20,7 +18,7 @@ class TestDataIntegrity(StepsDataAvailability):
self.disperse_data(DATA_TO_DISPERSE[1], to_app_id(1), to_index(0))
delay(5)
test_results = []
# Iterate through standard nodes to get blob data for 1/2 columns
# Iterate through standard nodes 1-3 to get blob data for 1/2 columns
for node in self.main_nodes[1:4]:
rcv_data = self.get_data_range(node, to_app_id(1), to_index(0), to_index(5))
rcv_data_json = json.dumps(rcv_data)
@ -34,6 +32,29 @@ class TestDataIntegrity(StepsDataAvailability):
logger.info(f"Dispersed data received by : {test_results}")
@pytest.mark.usefixtures("setup_4_node_cluster")
def test_da_disperse_retrieve_one_node_stopped(self):
# Stop nomos node 1 - dispersal and data retrieval should be still possible
self.main_nodes[1].stop()
self.disperse_data(DATA_TO_DISPERSE[1], to_app_id(1), to_index(0))
delay(5)
test_results = []
# Iterate through standard nodes 2-3 to get blob data for 1/2 columns
for node in self.main_nodes[2:4]:
rcv_data = self.get_data_range(node, to_app_id(1), to_index(0), to_index(5))
rcv_data_json = json.dumps(rcv_data)
reconstructed_data = NomosCli(command="reconstruct").run(input_values=[rcv_data_json])
if DATA_TO_DISPERSE[1] == reconstructed_data:
test_results.append(node.name())
assert len(test_results) > 0, "Dispersed data were not received by any node"
logger.info(f"Dispersed data received by : {test_results}")
@pytest.mark.usefixtures("setup_2_node_cluster")
def test_da_sampling_determines_data_presence(self):
self.disperse_data(DATA_TO_DISPERSE[1], to_app_id(1), to_index(0))
@ -44,3 +65,10 @@ class TestDataIntegrity(StepsDataAvailability):
decoded_data = NomosCli(command="reconstruct").run(input_values=[rcv_data_json], decode_only=True)
assert DATA_TO_DISPERSE[1] == decoded_data, "Retrieved data are not same with original data"
@pytest.mark.usefixtures("setup_2_node_cluster")
def test_da_disperse_empty_data(self):
empty_data = b""
response = self.disperse_data(empty_data, to_app_id(1), to_index(0), utf8=False, padding=False, timeout_duration=0)
assert response.status_code == 400, "Dispersal of empty data should be rejected as bad request"

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@ -1,7 +1,7 @@
import pytest
import psutil
from src.libs.common import delay, to_app_id, to_index, generate_random_bytes
from src.libs.common import delay, to_app_id, to_index, generate_random_bytes, generate_text_data
from src.libs.custom_logger import get_custom_logger
from src.steps.da import StepsDataAvailability
from src.test_data import DATA_TO_DISPERSE
@ -74,3 +74,36 @@ class TestNetworkingPrivacy(StepsDataAvailability):
overhead = (consumed - data_sent) / data_sent
assert overhead < 400, "Dispersal overhead is too high"
@pytest.mark.usefixtures("setup_4_node_cluster")
def test_consumed_bandwidth_large_data_dispersal(self):
net_io = psutil.net_io_counters()
prev_total = net_io.bytes_sent + net_io.bytes_recv
data_to_disperse = generate_text_data(2048) # ~10kB
successful_dispersals = 0
for i in range(20):
try:
self.disperse_data(data_to_disperse, to_app_id(10), to_index(0))
successful_dispersals += 1
except Exception as ex:
logger.warning(f"Dispersal #{i} was not successful with error {ex}")
if successful_dispersals == 10:
break
delay(0.1)
net_io = psutil.net_io_counters()
curr_total = net_io.bytes_sent + net_io.bytes_recv
consumed = curr_total - prev_total
assert successful_dispersals == 10, "Unable to finish 10 successful dispersals"
data_sent = 2 * successful_dispersals * len(data_to_disperse)
overhead = (consumed - data_sent) / data_sent
# Large data should have less transfer overhead
assert overhead < 300, "Dispersal overhead is too high"