# Copyright (c) 2023 Egor Tensin <Egor.Tensin@gmail.com>
# This file is part of the "cimple" project.
# For details, see https://github.com/egor-tensin/cimple.
# Distributed under the MIT License.
import logging
import multiprocessing as mp
import re
import pytest
from lib.logging import child_logging_thread, configure_logging_in_child
from lib.process import LoggingEvent
from lib.tests import my_parametrize
def test_sigsegv(sigsegv):
ec, output = sigsegv.try_run()
assert ec == -11
assert output == 'Started the test program.\n'
class LoggingEventRunComplete(LoggingEvent):
def __init__(self, target):
self.counter = 0
self.target = target
self.re = re.compile(r'run \d+ as finished')
super().__init__(timeout=150)
def log_line_matches(self, line):
return bool(self.re.search(line))
def set(self):
self.counter += 1
if self.counter == self.target:
super().set()
def client_runner_process(log_queue, client, runs_per_process, repo):
with configure_logging_in_child(log_queue):
logging.info('Executing %s clients', runs_per_process)
for i in range(runs_per_process):
client.run('run', repo.path, 'HEAD')
def _test_repo_internal(env, repo, numof_processes, runs_per_process):
numof_runs = numof_processes * runs_per_process
event = LoggingEventRunComplete(numof_runs)
# Count the number of times the server receives the "run complete" message.
env.server.logger.add_event(event)
with child_logging_thread() as log_queue:
ctx = mp.get_context('spawn')
args = (log_queue, env.client, runs_per_process, repo)
processes = [ctx.Process(target=client_runner_process, args=args) for i in range(numof_processes)]
for proc in processes:
proc.start()
event.wait()
for proc in processes:
proc.join()
repo.run_files_are_present(numof_runs)
runs = env.db.get_all_runs()
assert numof_runs == len(runs)
for id, status, ec, output, url, rev in runs:
assert status == 'finished', f'Invalid status for run {id}: {status}'
assert repo.run_exit_code_matches(ec), f"Exit code doesn't match: {ec}"
assert repo.run_output_matches(output), f"Output doesn't match: {output}"
@pytest.mark.valgrind
@my_parametrize('runs_per_client', [1, 5])
@my_parametrize('numof_clients', [1, 5])
def test_repo(env, test_repo, numof_clients, runs_per_client):
_test_repo_internal(env, test_repo, numof_clients, runs_per_client)
@pytest.mark.stress
@my_parametrize('numof_clients,runs_per_client',
[
(10, 50),
(1, 2000),
pytest.param(4, 500, marks=pytest.mark.flame_graph),
])
def test_repo_stress(env, stress_test_repo, numof_clients, runs_per_client):
_test_repo_internal(env, stress_test_repo, numof_clients, runs_per_client)
