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bind/bin/tests/system/get_algorithms.py
Tom Krizek 5f480c8485 Script for random algorithm selection in system tests
Multiple algorithm sets can be defined in this script. These can be
selected via the ALGORITHM_SET environment variable. For compatibility
reasons, "stable" set contains the currently used algorithms, since our
system tests need some changes before being compatible with randomly
selected algorithms.

The script operation is similar to the get_ports.py - environment
variables are created and then printed out as `export NAME=VALUE`
commands, to be interpreted by shell. Once we support pytest runner for
system tests, this should be a fixture instead.
2022-10-27 12:14:29 +02:00

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7.6 KiB
Python
Executable File

#!/usr/bin/python3
# Copyright (C) Internet Systems Consortium, Inc. ("ISC")
#
# SPDX-License-Identifier: MPL-2.0
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, you can obtain one at https://mozilla.org/MPL/2.0/.
#
# See the COPYRIGHT file distributed with this work for additional
# information regarding copyright ownership.
# This script is a 'port' broker. It keeps track of ports given to the
# individual system subtests, so every test is given a unique port range.
import logging
import os
from pathlib import Path
import platform
import random
import subprocess
import time
from typing import Dict, List, NamedTuple, Union
# Uncomment to enable DEBUG logging
# logging.basicConfig(
# format="get_algorithms.py %(levelname)s %(message)s", level=logging.DEBUG
# )
STABLE_PERIOD = 3600 * 3
"""number of secs during which algorithm selection remains stable"""
class Algorithm(NamedTuple):
name: str
number: int
bits: int
class AlgorithmSet(NamedTuple):
"""Collection of DEFAULT, ALTERNATIVE and DISABLED algorithms"""
default: Union[Algorithm, List[Algorithm]]
"""DEFAULT is the algorithm for testing."""
alternative: Union[Algorithm, List[Algorithm]]
"""ALTERNATIVE is an alternative algorithm for test cases that require more
than one algorithm (for example algorithm rollover)."""
disabled: Union[Algorithm, List[Algorithm]]
"""DISABLED is an algorithm that is used for tests against the
"disable-algorithms" configuration option."""
RSASHA1 = Algorithm("RSASHA1", 5, 1280)
RSASHA256 = Algorithm("RSASHA256", 8, 1280)
RSASHA512 = Algorithm("RSASHA512", 10, 1280)
ECDSAP256SHA256 = Algorithm("ECDSAP256SHA256", 13, 256)
ECDSAP384SHA384 = Algorithm("ECDSAP384SHA384", 14, 384)
ED25519 = Algorithm("ED25519", 15, 256)
ED448 = Algorithm("ED448", 16, 456)
ALL_ALGORITHMS = [
RSASHA1,
RSASHA256,
RSASHA512,
ECDSAP256SHA256,
ECDSAP384SHA384,
ED25519,
ED448,
]
ALGORITHM_SETS = {
"stable": AlgorithmSet(
default=ECDSAP256SHA256, alternative=RSASHA256, disabled=ECDSAP384SHA384
),
"ecc_default": AlgorithmSet(
default=[
ECDSAP256SHA256,
ECDSAP384SHA384,
ED25519,
ED448,
],
alternative=RSASHA256,
disabled=RSASHA512,
),
# FUTURE The system tests needs more work before they're ready for this.
# "random": AlgorithmSet(
# default=ALL_ALGORITHMS,
# alternative=ALL_ALGORITHMS,
# disabled=ALL_ALGORITHMS,
# ),
}
TESTCRYPTO = Path(__file__).resolve().parent / "testcrypto.sh"
KEYGEN = os.getenv("KEYGEN", "")
if not KEYGEN:
raise RuntimeError("KEYGEN environment variable has to be set")
ALGORITHM_SET = os.getenv("ALGORITHM_SET", "stable")
assert ALGORITHM_SET in ALGORITHM_SETS, f'ALGORITHM_SET "{ALGORITHM_SET}" unknown'
logging.debug('choosing from ALGORITHM_SET "%s"', ALGORITHM_SET)
def is_supported(alg: Algorithm) -> bool:
"""Test whether a given algorithm is supported on the current platform."""
try:
subprocess.run(
f"{TESTCRYPTO} -q {alg.name}",
shell=True,
check=True,
env={"KEYGEN": KEYGEN},
stdout=subprocess.DEVNULL,
)
except subprocess.CalledProcessError as exc:
logging.debug(exc)
logging.info("algorithm %s not supported", alg.name)
return False
return True
def filter_supported(algs: AlgorithmSet) -> AlgorithmSet:
"""Select supported algorithms from the set."""
filtered = {}
for alg_type in algs._fields:
candidates = getattr(algs, alg_type)
if isinstance(candidates, Algorithm):
candidates = [candidates]
supported = list(filter(is_supported, candidates))
if len(supported) == 1:
supported = supported.pop()
elif not supported:
raise RuntimeError(
f'no {alg_type.upper()} algorithm from "{ALGORITHM_SET}" set '
"supported on this platform"
)
filtered[alg_type] = supported
return AlgorithmSet(**filtered)
def select_random(algs: AlgorithmSet, stable_period=STABLE_PERIOD) -> AlgorithmSet:
"""Select random DEFAULT, ALTERNATIVE and DISABLED algorithms from the set.
The algorithm selection is deterministic for a given time period and
platform. This should make potential issues more reproducible.
To increase the likelyhood of detecting an issue with a given algorithm in
CI, the current platform is used as a randomness source. When testing on
multiple platforms at the same time, this ensures more algorithm variance
while keeping reproducibility for a single platform.
The function also ensures that DEFAULT, ALTERNATIVE and DISABLED algorithms
are all different.
"""
# FUTURE Random selection of ALTERNATIVE and DISABLED algorithms needs to
# be implemented.
alternative = algs.alternative
disabled = algs.disabled
assert isinstance(
alternative, Algorithm
), "ALTERNATIVE algorithm randomization not supported yet"
assert isinstance(
disabled, Algorithm
), "DISABLED algorithm randomization not supported yet"
# initialize randomness
now = time.time()
time_seed = int(now - now % stable_period)
seed = f"{platform.platform()}_{time_seed}"
random.seed(seed)
# DEFAULT selection
if isinstance(algs.default, Algorithm):
default = algs.default
else:
candidates = algs.default
for taken in [alternative, disabled]:
try:
candidates.remove(taken)
except ValueError:
pass
assert len(candidates), "no possible choice for DEFAULT algorithm"
random.shuffle(candidates)
default = candidates[0]
# Ensure only single algorithm is present for each option
assert isinstance(default, Algorithm)
assert isinstance(alternative, Algorithm)
assert isinstance(disabled, Algorithm)
assert default != alternative, "DEFAULT and ALTERNATIVE algorithms are the same"
assert default != disabled, "DEFAULT and DISABLED algorithms are the same"
assert alternative != disabled, "ALTERNATIVE and DISABLED algorithms are the same"
return AlgorithmSet(default, alternative, disabled)
def algorithms_env(algs: AlgorithmSet) -> Dict[str, str]:
"""Return environment variables with selected algorithms as a dict."""
algs_env: Dict[str, str] = {}
def set_alg_env(alg: Algorithm, prefix):
algs_env[f"{prefix}_ALGORITHM"] = alg.name
algs_env[f"{prefix}_ALGORITHM_NUMBER"] = str(alg.number)
algs_env[f"{prefix}_BITS"] = str(alg.bits)
assert isinstance(algs.default, Algorithm)
assert isinstance(algs.alternative, Algorithm)
assert isinstance(algs.disabled, Algorithm)
set_alg_env(algs.default, "DEFAULT")
set_alg_env(algs.alternative, "ALTERNATIVE")
set_alg_env(algs.disabled, "DISABLED")
logging.info("selected algorithms: %s", algs_env)
return algs_env
def main():
try:
algs = ALGORITHM_SETS[ALGORITHM_SET]
algs = filter_supported(algs)
algs = select_random(algs)
algs_env = algorithms_env(algs)
except Exception:
# if anything goes wrong, the conf.sh ignores error codes, so make sure
# we set an environment variable to an error value that can be checked
# later by run.sh
print("export ALGORITHM_SET=error")
raise
else:
for name, value in algs_env.items():
print(f"export {name}={value}")
if __name__ == "__main__":
main()