|
| 1 | +import datetime |
| 2 | +import ipaddress |
| 3 | +import os |
| 4 | +import random |
| 5 | +import sys |
| 6 | +import time |
| 7 | + |
| 8 | +import polars as pl |
| 9 | +from confluent_kafka import KafkaError |
| 10 | + |
| 11 | +sys.path.append(os.getcwd()) |
| 12 | +from src.base.kafka_handler import SimpleKafkaProduceHandler |
| 13 | +from src.train.dataset import Dataset, DatasetLoader |
| 14 | +from src.base.log_config import get_logger |
| 15 | +from src.base.utils import setup_config |
| 16 | + |
| 17 | +logger = get_logger() |
| 18 | +config = setup_config() |
| 19 | + |
| 20 | +PRODUCE_TO_TOPIC = config["environment"]["kafka_topics"]["pipeline"]["logserver_in"] |
| 21 | + |
| 22 | + |
| 23 | +class DatasetGenerator: |
| 24 | + """Generates log lines and datasets.""" |
| 25 | + |
| 26 | + def __init__(self, data_base_path: str = "./data"): |
| 27 | + datasets = DatasetLoader(base_path=data_base_path, max_rows=10000) |
| 28 | + |
| 29 | + dataset = Dataset( |
| 30 | + data_path="", |
| 31 | + data=pl.concat( |
| 32 | + [ |
| 33 | + datasets.dgta_dataset.data, |
| 34 | + # datasets.cic_dataset.data, |
| 35 | + # datasets.bambenek_dataset.data, |
| 36 | + # datasets.dga_dataset.data, |
| 37 | + # datasets.dgarchive_dataset.data, |
| 38 | + ] |
| 39 | + ), |
| 40 | + max_rows=1000, |
| 41 | + ) |
| 42 | + |
| 43 | + self.domains = dataset.data |
| 44 | + |
| 45 | + def generate_random_logline( |
| 46 | + self, statuses: list[str] = None, record_types: list[str] = None |
| 47 | + ): |
| 48 | + """Generates a (mostly) random logline.""" |
| 49 | + if record_types is None: |
| 50 | + record_types = 6 * ["AAAA"] + 10 * ["A"] + ["PR", "CNAME"] |
| 51 | + |
| 52 | + if statuses is None: |
| 53 | + statuses = ["NOERROR", "NXDOMAIN"] |
| 54 | + |
| 55 | + # choose timestamp |
| 56 | + timestamp = ( |
| 57 | + datetime.datetime.now() + datetime.timedelta(0, 0, random.randint(0, 900)) |
| 58 | + ).strftime("%Y-%m-%dT%H:%M:%S.%f")[:-3] + "Z" |
| 59 | + |
| 60 | + # choose status code |
| 61 | + status = random.choice(statuses) |
| 62 | + |
| 63 | + # choose client IP address |
| 64 | + number_of_subnets = 50 |
| 65 | + client_ip = ( |
| 66 | + f"192.168.{random.randint(0, number_of_subnets)}.{random.randint(1, 255)}" |
| 67 | + ) |
| 68 | + |
| 69 | + # choose server IP address |
| 70 | + server_ip = f"10.10.0.{random.randint(1, 100)}" |
| 71 | + |
| 72 | + # choose random domain (can be malicious or benign) |
| 73 | + domain = self.get_random_domain() |
| 74 | + |
| 75 | + # choose random record type |
| 76 | + record_type = random.choice(record_types) |
| 77 | + |
| 78 | + # choose random response IP address |
| 79 | + def _get_random_ipv4(): |
| 80 | + max_ipv4 = ipaddress.IPv4Address._ALL_ONES # 2 ** 32 - 1 |
| 81 | + return ipaddress.IPv4Address._string_from_ip_int( |
| 82 | + random.randint(0, max_ipv4) |
| 83 | + ) |
| 84 | + |
| 85 | + def _get_random_ipv6(): |
| 86 | + max_ipv6 = ipaddress.IPv6Address._ALL_ONES # 2 ** 128 - 1 |
| 87 | + return ipaddress.IPv6Address._string_from_ip_int( |
| 88 | + random.randint(0, max_ipv6) |
| 89 | + ) |
| 90 | + |
| 91 | + ip_address_choices = [_get_random_ipv4(), _get_random_ipv6()] |
| 92 | + response_ip_address = random.choice(ip_address_choices) |
| 93 | + |
| 94 | + # choose random size |
| 95 | + size = f"{random.randint(50, 255)}b" |
| 96 | + |
| 97 | + return f"{timestamp} {status} {client_ip} {server_ip} {domain} {record_type} {response_ip_address} {size}" |
| 98 | + |
| 99 | + def get_random_domain(self) -> str: |
| 100 | + random_domain = self.domains.sample(n=1) |
| 101 | + return random_domain["query"].item() |
| 102 | + |
| 103 | + def generate_dataset(self, number_of_elements: int) -> list[str]: |
| 104 | + dataset = [] |
| 105 | + |
| 106 | + for _ in range(number_of_elements): |
| 107 | + logline = self.generate_random_logline() |
| 108 | + dataset.append(logline) |
| 109 | + |
| 110 | + return dataset |
| 111 | + |
| 112 | + |
| 113 | +class ScalabilityTest: |
| 114 | + """Base class for tests that focus on the scalability of the software.""" |
| 115 | + |
| 116 | + def __init__(self): |
| 117 | + self.dataset_generator = DatasetGenerator() |
| 118 | + self.kafka_producer = SimpleKafkaProduceHandler() |
| 119 | + |
| 120 | + self.interval_lengths = None |
| 121 | + self.msg_per_sec_in_intervals = None |
| 122 | + |
| 123 | + def execute(self): |
| 124 | + """Executes the test with the configured parameters.""" |
| 125 | + logger.warning(f"Start at: {datetime.datetime.now()}") |
| 126 | + |
| 127 | + cur_index = 0 |
| 128 | + for i in range(len(self.msg_per_sec_in_intervals)): |
| 129 | + cur_index = self._execute_one_interval( |
| 130 | + cur_index=cur_index, |
| 131 | + msg_per_sec=self.msg_per_sec_in_intervals[i], |
| 132 | + length_in_sec=self.interval_lengths[i], |
| 133 | + ) |
| 134 | + |
| 135 | + logger.warning(f"Stop at: {datetime.datetime.now()}") |
| 136 | + |
| 137 | + def _execute_one_interval( |
| 138 | + self, cur_index: int, msg_per_sec: float | int, length_in_sec: float | int |
| 139 | + ) -> int: |
| 140 | + start_of_interval_timestamp = datetime.datetime.now() |
| 141 | + logger.warning( |
| 142 | + f"Start interval with {msg_per_sec} msg/s at {start_of_interval_timestamp}" |
| 143 | + ) |
| 144 | + |
| 145 | + while ( |
| 146 | + datetime.datetime.now() - start_of_interval_timestamp |
| 147 | + < datetime.timedelta(seconds=length_in_sec) |
| 148 | + ): |
| 149 | + try: |
| 150 | + self.kafka_producer.produce( |
| 151 | + PRODUCE_TO_TOPIC, |
| 152 | + self.dataset_generator.generate_random_logline(), |
| 153 | + ) |
| 154 | + logger.info( |
| 155 | + f"Sent message {cur_index + 1} at: {datetime.datetime.now()}" |
| 156 | + ) |
| 157 | + cur_index += 1 |
| 158 | + except KafkaError: |
| 159 | + logger.warning(KafkaError) |
| 160 | + time.sleep(1.0 / msg_per_sec) |
| 161 | + |
| 162 | + logger.warning(f"Finish interval with {msg_per_sec} msg/s") |
| 163 | + return cur_index |
| 164 | + |
| 165 | + |
| 166 | +class RampUpTest(ScalabilityTest): |
| 167 | + """Starts with a low rate and increases the rate in fixed intervals.""" |
| 168 | + |
| 169 | + def __init__( |
| 170 | + self, |
| 171 | + msg_per_sec_in_intervals: list[float | int], |
| 172 | + interval_length_in_sec: int | float | list[int | float], |
| 173 | + ): |
| 174 | + super().__init__() |
| 175 | + self.msg_per_sec_in_intervals = msg_per_sec_in_intervals |
| 176 | + |
| 177 | + if type(interval_length_in_sec) is list: |
| 178 | + self.interval_lengths = interval_length_in_sec |
| 179 | + else: |
| 180 | + self.interval_lengths = [ |
| 181 | + interval_length_in_sec for _ in range(len(msg_per_sec_in_intervals)) |
| 182 | + ] |
| 183 | + |
| 184 | + if len(interval_length_in_sec) != len(msg_per_sec_in_intervals): |
| 185 | + raise Exception("Different lengths of interval lists. Must be equal.") |
| 186 | + |
| 187 | + |
| 188 | +class BurstTest(ScalabilityTest): |
| 189 | + """Starts with a normal rate, sends a high rate for a short period, then returns to normal rate. Repeats the |
| 190 | + process for a defined number of times.""" |
| 191 | + |
| 192 | + def __init__( |
| 193 | + self, |
| 194 | + normal_rate_msg_per_sec: float | int, |
| 195 | + burst_rate_msg_per_sec: float | int, |
| 196 | + normal_rate_interval_length: float | int, |
| 197 | + burst_rate_interval_length: float | int, |
| 198 | + number_of_intervals: int = 1, |
| 199 | + ): |
| 200 | + super().__init__() |
| 201 | + |
| 202 | + self.msg_per_sec_in_intervals = [normal_rate_msg_per_sec] |
| 203 | + self.interval_lengths = [normal_rate_interval_length] |
| 204 | + |
| 205 | + for _ in range(number_of_intervals): |
| 206 | + self.msg_per_sec_in_intervals.append(burst_rate_msg_per_sec) |
| 207 | + self.msg_per_sec_in_intervals.append(normal_rate_msg_per_sec) |
| 208 | + |
| 209 | + self.interval_lengths.append(burst_rate_interval_length) |
| 210 | + self.interval_lengths.append(normal_rate_interval_length) |
| 211 | + |
| 212 | + |
| 213 | +class LongTermTest(ScalabilityTest): |
| 214 | + """Starts with a low rate and increases the rate in fixed intervals.""" |
| 215 | + |
| 216 | + def __init__(self, full_length: float | int, msg_per_sec: float | int): |
| 217 | + super().__init__() |
| 218 | + |
| 219 | + self.msg_per_sec_in_intervals = [msg_per_sec] |
| 220 | + self.interval_lengths = [full_length] |
| 221 | + |
| 222 | + |
| 223 | +def main(): |
| 224 | + """Creates the test instance and executes the test.""" |
| 225 | + # ramp_up_test = RampUpTest( |
| 226 | + # msg_per_sec_in_intervals=[1, 10, 50, 100, 150], |
| 227 | + # interval_length_in_sec=[10, 5, 4, 4, 2], |
| 228 | + # ) |
| 229 | + # ramp_up_test.execute() |
| 230 | + |
| 231 | + burst_test = BurstTest( |
| 232 | + normal_rate_msg_per_sec=20, |
| 233 | + burst_rate_msg_per_sec=10000, |
| 234 | + normal_rate_interval_length=10, |
| 235 | + burst_rate_interval_length=2, |
| 236 | + number_of_intervals=3, |
| 237 | + ) |
| 238 | + burst_test.execute() |
| 239 | + |
| 240 | + # long_term_test = LongTermTest( |
| 241 | + # full_length=10.4, |
| 242 | + # msg_per_sec=15, |
| 243 | + # ) |
| 244 | + # long_term_test.execute() |
| 245 | + |
| 246 | + |
| 247 | +if __name__ == "__main__": |
| 248 | + main() |
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