117 lines
3.6 KiB
Python
117 lines
3.6 KiB
Python
"""passbook benchmark command"""
|
|
from csv import DictWriter
|
|
from multiprocessing import Manager, Process, cpu_count
|
|
from sys import stdout
|
|
from time import time
|
|
from typing import List
|
|
|
|
from django import db
|
|
from django.core.management.base import BaseCommand
|
|
from django.test import RequestFactory
|
|
from structlog import get_logger
|
|
|
|
from passbook import __version__
|
|
from passbook.core.models import User
|
|
from passbook.flows.models import Flow
|
|
from passbook.flows.planner import PLAN_CONTEXT_PENDING_USER, FlowPlanner
|
|
|
|
LOGGER = get_logger()
|
|
|
|
|
|
class FlowPlanProcess(Process): # pragma: no cover
|
|
"""Test process which executes flow planner"""
|
|
|
|
def __init__(self, index, return_dict, flow, user) -> None:
|
|
super().__init__()
|
|
self.index = index
|
|
self.return_dict = return_dict
|
|
self.flow = flow
|
|
self.user = user
|
|
self.request = RequestFactory().get("/")
|
|
|
|
def run(self):
|
|
print(f"Proc {self.index} Running")
|
|
|
|
def test_inner():
|
|
planner = FlowPlanner(self.flow)
|
|
planner.use_cache = False
|
|
planner.plan(self.request, {PLAN_CONTEXT_PENDING_USER: self.user})
|
|
|
|
diffs = []
|
|
for _ in range(1000):
|
|
start = time()
|
|
test_inner()
|
|
end = time()
|
|
diffs.append(end - start)
|
|
self.return_dict[self.index] = diffs
|
|
|
|
|
|
class Command(BaseCommand): # pragma: no cover
|
|
"""Benchmark passbook"""
|
|
|
|
def add_arguments(self, parser):
|
|
parser.add_argument(
|
|
"-p",
|
|
"--processes",
|
|
default=cpu_count(),
|
|
action="store",
|
|
help="How many processes should be started.",
|
|
)
|
|
parser.add_argument(
|
|
"--csv", action="store_true", help="Output results as CSV",
|
|
)
|
|
|
|
def benchmark_flows(self, proc_count) -> str:
|
|
"""Get full recovery link"""
|
|
flow = Flow.objects.get(slug="default-authentication-flow")
|
|
user = User.objects.get(username="pbadmin")
|
|
manager = Manager()
|
|
return_dict = manager.dict()
|
|
|
|
jobs = []
|
|
db.connections.close_all()
|
|
for i in range(proc_count):
|
|
proc = FlowPlanProcess(i, return_dict, flow, user)
|
|
jobs.append(proc)
|
|
proc.start()
|
|
|
|
for proc in jobs:
|
|
proc.join()
|
|
return return_dict.values()
|
|
|
|
def handle(self, *args, **options):
|
|
"""Start benchmark"""
|
|
proc_count = options.get("processes", 1)
|
|
all_values = self.benchmark_flows(proc_count)
|
|
if options.get("csv"):
|
|
self.output_csv(all_values)
|
|
else:
|
|
self.output_overview(all_values)
|
|
|
|
def output_overview(self, values: List[List[int]]):
|
|
"""Output results human readable"""
|
|
total_max = max([max(inner) for inner in values])
|
|
total_min = min([min(inner) for inner in values])
|
|
total_avg = sum([sum(inner) for inner in values]) / sum(
|
|
[len(inner) for inner in values]
|
|
)
|
|
|
|
print(f"Version: {__version__}")
|
|
print(f"Processes: {len(values)}")
|
|
print(f"\tMax: {total_max * 100}ms")
|
|
print(f"\tMin: {total_min * 100}ms")
|
|
print(f"\tAvg: {total_avg * 100}ms")
|
|
|
|
def output_csv(self, values: List[List[int]]):
|
|
"""Output results as CSV"""
|
|
proc_count = len(values)
|
|
fieldnames = [f"proc_{idx}" for idx in range(proc_count)]
|
|
writer = DictWriter(stdout, fieldnames=fieldnames)
|
|
|
|
writer.writeheader()
|
|
for run_idx in range(len(values[0])):
|
|
row_dict = {}
|
|
for proc_idx in range(proc_count):
|
|
row_dict[f"proc_{proc_idx}"] = values[proc_idx][run_idx] * 100
|
|
writer.writerow(row_dict)
|