Parsing k6 results + dataclass for K6 results
Signed-off-by: a.lipay <a.lipay@yadro.com>
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e63db788c5
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1 changed files with 55 additions and 11 deletions
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@ -1,3 +1,4 @@
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import re
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from contextlib import contextmanager
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from dataclasses import dataclass
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from time import sleep
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@ -16,13 +17,28 @@ class LoadParams:
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containers_count: int
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out_file: str
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obj_count: int
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writers_percent: int
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writers: int
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readers: int
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deleters: int
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load_time: int
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clients_count: int
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load_type: str
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endpoint: str
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@dataclass
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class LoadResults:
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latency_write_min: float = 0.0
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latency_write_max: float = 0.0
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latency_write_med: float = 0.0
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latency_write_avg: float = 0.0
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latency_read_min: float = 0.0
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latency_read_max: float = 0.0
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latency_read_med: float = 0.0
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latency_read_avg: float = 0.0
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read_ops: float = 0.0
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write_ops: float = 0.0
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class K6:
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def __init__(self, load_params: LoadParams, host_client: HostClient):
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@ -54,8 +70,8 @@ class K6:
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f"{self.k6_dir}/scenarios/preset/preset_grpc.py "
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f"--size {self.load_params.obj_size} "
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f"--containers {self.load_params.containers_count} "
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f"--out {self.load_params.load_type}_{self.load_params.out_file} "
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f"--endpoint {self.load_params.endpoint} "
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f"--out {self.k6_dir}/{self.load_params.load_type}_{self.load_params.out_file} "
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f"--endpoint {self.load_params.endpoint.split(',')[0]} "
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f"--preload_obj {self.load_params.obj_count} "
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)
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terminal = self.host_client.exec(command)
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@ -64,25 +80,29 @@ class K6:
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command = (
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f"{self.k6_dir}/scenarios/preset/preset_s3.py --size {self.load_params.obj_size} "
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f"--buckets {self.load_params.containers_count} "
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f"--out {self.load_params.load_type}_{self.load_params.out_file} "
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f"--endpoint {self.load_params.endpoint} "
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f"--out {self.k6_dir}/{self.load_params.load_type}_{self.load_params.out_file} "
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f"--endpoint {self.load_params.endpoint.split(',')[0]} "
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f"--preload_obj {self.load_params.obj_count} "
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f"--location load-1-1"
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)
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terminal = self.host_client.exec(command)
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return terminal.stdout.strip("\n")
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raise AssertionError("Wrong K6 load type")
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else:
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raise AssertionError("Wrong K6 load type")
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@allure.step("Start K6 on initiator")
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def start(self) -> None:
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self._k6_dir = self.k6_dir
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command = (
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f"{self.k6_dir}/k6 run -e "
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f"PROFILE={self.load_params.writers_percent}:{self.load_params.load_time} "
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f"{self.k6_dir}/k6 run "
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f"-e DURATION={self.load_params.load_time} "
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f"-e WRITE_OBJ_SIZE={self.load_params.obj_size} "
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f"-e CLIENTS={self.load_params.clients_count} -e NODES={self.load_params.endpoint} "
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f"-e PREGEN_JSON={self.k6_dir}/{self.load_params.load_type}_{self.load_params.out_file} "
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f"-e WRITERS={self.load_params.writers} -e READERS={self.load_params.readers} "
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f"-e DELETERS={self.load_params.deleters} "
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f"-e {self.load_params.load_type.upper()}_ENDPOINTS={self.load_params.endpoint} "
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f"-e PREGEN_JSON={self.k6_dir}/"
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f"{self.load_params.load_type}_{self.load_params.out_file} "
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f"{self.k6_dir}/scenarios/{self.load_params.load_type}.js"
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)
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self._k6_process = RemoteProcess.create(command, self.host_client)
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@ -153,6 +173,30 @@ class K6:
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def is_finished(self) -> bool:
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return not self._k6_process.running()
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def parsing_results(self) -> LoadResults:
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output = self._k6_process.stdout(full=True).replace("\n", "")
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metric_regex_map = {
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"latency_write_min": r"neofs_obj_put_duration.*?min=(?P<latency_write_min>\d*\.\d*)",
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"latency_write_max": r"neofs_obj_put_duration.*?max=(?P<latency_write_max>\d*\.\d*)",
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"latency_write_med": r"neofs_obj_put_duration.*?med=(?P<latency_write_med>\d*\.\d*)",
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"latency_write_avg": r"neofs_obj_put_duration.*?avg=(?P<latency_write_avg>\d*\.\d*)",
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"write_ops": r"neofs_obj_put_total\W*\d*\W*(?P<write_ops>\d*\.\d*)",
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"latency_read_min": r"neofs_obj_get_duration.*?min=(?P<latency_read_min>\d*\.\d*)",
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"latency_read_max": r"neofs_obj_get_duration.*?max=(?P<latency_read_max>\d*\.\d*)",
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"latency_read_med": r"neofs_obj_get_duration.*?med=(?P<latency_read_med>\d*\.\d*)",
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"latency_read_avg": r"neofs_obj_get_duration.*?avg=(?P<latency_read_avg>\d*\.\d*)",
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"read_ops": r"neofs_obj_get_total\W*\d*\W*(?P<read_ops>\d*\.\d*)",
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}
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metric_values = {}
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for metric_name, metric_regex in metric_regex_map.items():
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match = re.search(metric_regex, output)
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if match:
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metric_values[metric_name] = float(match.group(metric_name))
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continue
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metric_values[metric_name] = 0.0
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load_result = LoadResults(**metric_values)
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return load_result
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@allure.step("Try to stop K6 with SIGTERM")
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def _stop_k6(self) -> None:
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for __attempt in range(self._k6_stop_attempts):
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