Files
shopdb-flask/scripts/loadtest/burst_arrival.py
cproudlock 534f179ee6 Make main the lean product a site receives
main was 16 days and 259 commits behind the line the product is actually built
on, at contract 0.30.0 against 0.35.0, with no per-PC credential code at all. It
was neither current nor curated - just stale. This brings it forward and, at the
same time, makes it mean something: main is what a receiving site installs, and
nothing else.

WHAT IT CARRIES. Twelve plugins - backups, computers, endpoints, guides,
knowledgebase, machines, network, notifications, printers, slides, tools,
warranty - plus applications, which is manifest-less core and always ships. The
only manifest dependency inside that set is endpoints on computers, and both are
in it, so the closure is self-contained.

WHAT IT DOES NOT. employees, geenforce, measuringtools, printedparts and usb
stay on the site line. So do the Windows installer tree, the VM rehearsal
helpers, the agent tooling config, one site's data loader, the internal audit
and findings records, and the planner spreadsheet. 1,135 tracked files against
1,438.

A REMOVAL THAT BREAKS THE APP IS NOT A REMOVAL, and two nearly shipped:

deploy/site-profile-universal.json still named all seventeen plugins. It is the
file docs/DEPLOY.md tells a site to provision from, so a fresh install would
have failed at `flask plugin apply-profile` with PluginError - the first thing a
receiving site does, broken by the branch meant to serve them. It now names the
twelve that exist, and its comment says the two must agree.

agent/ was never refreshed. Whoever populated this branch copied shopdb/,
plugins/, frontend/ and tests/ from the site line and left the agent tree at its
September state: 22 C# and PowerShell sources missing, including AgentCredentials,
EnrollmentService, AgentHttpFactory and the fleet-alert client, plus one file the
site line had deleted still present. The old tree is internally consistent, so it
compiles, and nothing in CI builds it - every gate was green over a server that
speaks enrollment and per-PC credentials to a bundled agent source that cannot.
Resynced whole.

DECISIONS THIS ENCODES, rather than defers:

- The plugin-authoring lab builds printedparts, whose manifest depends on
  employees, so it could not stay. The lab remains on the site line and main
  ships no build-along tutorial. That is a real loss for an adopting developer
  and is recorded here rather than discovered later.
- Recognition, Training and Recertification notifications are no longer seeded.
  Each splits one notification into a card per employee and renders a photo,
  which needs a plugin this branch does not bundle. Seeding them would offer an
  author a type that cannot resolve anybody. A site that installs employees gets
  them from that plugin's own seed.
- Windows/IIS is documented as the legacy path throughout, and the README leads
  with Docker, because that is what a receiving site gets.

The API description is regenerated for THIS branch - 347 paths and 483
operations, down from 415 and 573 - so the published contract describes what is
here rather than what the site line serves. docs/CONFIG.md lost the two
measuring-tool label keys the code no longer declares, which two lanes had
decided opposite ways.

Suite: 3124 passed, 6 skipped. Naming and style gates pass. The docs gates run
rather than skip, and every index line count is derived from the file it names.
2026-09-19 11:24:40 -04:00

220 lines
8.1 KiB
Python

"""Patch-day burst simulator: synchronized cold start of an endpoint fleet.
WHY this is separate from mixed_workload.py: that harness RAMPS agents in over
~20s and measures steady state, which deliberately avoids a thundering herd.
Patch day is the opposite case and stresses different machinery:
- a fresh TLS handshake per agent, all at once (handshakes are CPU-heavy)
- _resolve_asset_for_hostname runs on every arrival, so the DB pool is hit by
a synchronized burst rather than the smooth churn of steady state
- no warm connections in the pool, no warm caches
Modelled on the real agent (verified in agent/ShopDbEndpointAgent.Core/):
- CommandWorker.ExecuteAsync polls IMMEDIATELY, no startup delay, no jitter
- TelemetryWorker also reports immediately; its jitter applies only BETWEEN
runs, so first contact is synchronized too. Patch day is therefore TWO
simultaneous bursts per endpoint, not one.
- transient failures retry at a FIXED 10s (TransientRetryDelay), not
exponential-with-jitter, so a herd that fails together re-arrives together
--arrivalseconds is the spread of the reboot window. 0 means every agent hits at
once (single maintenance window, worst case); 60 approximates a staged ring.
Stdlib asyncio only, so it needs no dependency install in the container.
Usage:
python burst_arrival.py --fleet 700 --arrivalseconds 0 --seconds 120
"""
import argparse
import asyncio
import json
import os
import random
import ssl
import statistics
import time
STOP = False
def percentile(values, fraction):
if not values:
return 0.0
ordered = sorted(values)
index = min(int(len(ordered) * fraction), len(ordered) - 1)
return ordered[index]
async def request(host, port, context, method, path, timeout,
api_key=None, body=None):
"""One HTTP/1.1 request over a FRESH connection, so each call pays a full
TLS handshake - which is the point on patch day."""
started = time.monotonic()
writer = None
try:
reader, writer = await asyncio.wait_for(
asyncio.open_connection(host, port, ssl=context), timeout=timeout)
handshake = time.monotonic() - started
headers = [
'%s %s HTTP/1.1' % (method, path),
'Host: %s' % host,
'Accept: application/json',
'Connection: close',
]
if api_key:
headers.append('X-API-Key: %s' % api_key)
payload = b''
if body is not None:
payload = json.dumps(body).encode()
headers.append('Content-Type: application/json')
headers.append('Content-Length: %d' % len(payload))
writer.write(('\r\n'.join(headers) + '\r\n\r\n').encode() + payload)
await writer.drain()
header = await asyncio.wait_for(reader.readuntil(b'\r\n'), timeout=timeout)
status = int(header.split()[1])
await asyncio.wait_for(reader.read(), timeout=timeout)
return status, time.monotonic() - started, handshake
except Exception as error:
return type(error).__name__, time.monotonic() - started, None
finally:
if writer is not None:
try:
writer.close()
except Exception:
pass
def record(results, bucket, status, elapsed, handshake=None, first=False):
entry = results.setdefault(bucket, {
'times': [], 'status': {}, 'handshakes': [], 'firsttimes': []})
entry['times'].append(elapsed * 1000.0)
if handshake is not None:
entry['handshakes'].append(handshake * 1000.0)
if first:
entry['firsttimes'].append(elapsed * 1000.0)
key = str(status)
entry['status'][key] = entry['status'].get(key, 0) + 1
async def agent(index, host, port, context, api_key, results, arrivalseconds):
"""One endpoint coming back from a patch reboot.
Fires its telemetry report and its first command poll at the same instant,
mirroring the two workers both starting with no delay.
"""
if arrivalseconds > 0:
await asyncio.sleep(random.uniform(0, arrivalseconds))
hostname = 'LOADTEST%04d' % (index + 1)
async def telemetry():
status, elapsed, handshake = await request(
host, port, context, 'POST', '/api/collector/heartbeat',
timeout=120.0, api_key=api_key, body={'hostname': hostname})
record(results, 'telemetry_firstcontact', status, elapsed, handshake,
first=True)
telemetry_task = asyncio.ensure_future(telemetry())
path = '/api/endpoints/commands/next?hostname=%s' % hostname
first = True
while not STOP:
status, elapsed, handshake = await request(
host, port, context, 'GET', path, timeout=120.0, api_key=api_key)
record(results, 'fleet', status, elapsed, handshake, first=first)
if first:
first = False
if not isinstance(status, int):
# Mirrors CommandWorker TransientRetryDelay: fixed 10s, no jitter,
# so a herd that fails together re-arrives together.
await asyncio.sleep(10.0)
else:
await asyncio.sleep(0.05)
await telemetry_task
async def ui_user(host, port, context, results, think_seconds):
while not STOP:
status, elapsed, handshake = await request(
host, port, context, 'GET', '/api/dashboard/health', timeout=120.0)
record(results, 'ui', status, elapsed, handshake)
await asyncio.sleep(think_seconds)
async def main():
global STOP
parser = argparse.ArgumentParser()
parser.add_argument('--fleet', type=int, default=700)
parser.add_argument('--users', type=int, default=5)
parser.add_argument('--arrivalseconds', type=float, default=0.0)
parser.add_argument('--seconds', type=int, default=120)
parser.add_argument('--host', default='api')
parser.add_argument('--port', type=int, default=5001)
parser.add_argument('--think', type=float, default=3.0)
arguments = parser.parse_args()
api_key = os.environ.get('LOADTEST_TOKEN', '')
if not api_key:
raise SystemExit('LOADTEST_TOKEN not set')
context = ssl.create_default_context()
context.check_hostname = False
context.verify_mode = ssl.CERT_NONE
results = {}
tasks = []
for _ in range(arguments.users):
tasks.append(asyncio.ensure_future(ui_user(
arguments.host, arguments.port, context, results,
arguments.think)))
# Let the UI baseline establish before the storm hits.
await asyncio.sleep(5.0)
burst_started = time.monotonic()
for index in range(arguments.fleet):
tasks.append(asyncio.ensure_future(agent(
index, arguments.host, arguments.port, context, api_key, results,
arguments.arrivalseconds)))
await asyncio.sleep(arguments.seconds)
STOP = True
await asyncio.sleep(2.0)
for task in tasks:
task.cancel()
summary = {
'fleet': arguments.fleet,
'arrivalseconds': arguments.arrivalseconds,
'users': arguments.users,
'seconds': arguments.seconds,
'classes': {},
}
for bucket, entry in sorted(results.items()):
times = entry['times']
block = {
'samples': len(times),
'status': entry['status'],
'median_ms': round(statistics.median(times), 1) if times else 0.0,
'p95_ms': round(percentile(times, 0.95), 1),
'max_ms': round(max(times), 1) if times else 0.0,
}
if entry['handshakes']:
block['handshake_median_ms'] = round(
statistics.median(entry['handshakes']), 1)
block['handshake_p95_ms'] = round(
percentile(entry['handshakes'], 0.95), 1)
block['handshake_max_ms'] = round(max(entry['handshakes']), 1)
if entry['firsttimes']:
block['firstcontact_median_ms'] = round(
statistics.median(entry['firsttimes']), 1)
block['firstcontact_p95_ms'] = round(
percentile(entry['firsttimes'], 0.95), 1)
block['firstcontact_max_ms'] = round(max(entry['firsttimes']), 1)
summary['classes'][bucket] = block
print(json.dumps(summary, indent=2))
if __name__ == '__main__':
asyncio.run(main())