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jupyterhub/examples/cull-idle/cull_idle_servers.py
Greg d126baa443 remove diaeresis
Signed-off-by: Greg <werner.greg@gmail.com>
2020-01-17 09:43:46 -05:00

402 lines
13 KiB
Python
Executable File

#!/usr/bin/env python3
"""script to monitor and cull idle single-user servers
Caveats:
last_activity is not updated with high frequency,
so cull timeout should be greater than the sum of:
- single-user websocket ping interval (default: 30s)
- JupyterHub.last_activity_interval (default: 5 minutes)
You can run this as a service managed by JupyterHub with this in your config::
c.JupyterHub.services = [
{
'name': 'cull-idle',
'admin': True,
'command': [sys.executable, 'cull_idle_servers.py', '--timeout=3600'],
}
]
Or run it manually by generating an API token and storing it in `JUPYTERHUB_API_TOKEN`:
export JUPYTERHUB_API_TOKEN=$(jupyterhub token)
python3 cull_idle_servers.py [--timeout=900] [--url=http://127.0.0.1:8081/hub/api]
This script uses the same ``--timeout`` and ``--max-age`` values for
culling users and users' servers. If you want a different value for
users and servers, you should add this script to the services list
twice, just with different ``name``s, different values, and one with
the ``--cull-users`` option.
"""
import json
import os
from datetime import datetime
from datetime import timezone
from functools import partial
try:
from urllib.parse import quote
except ImportError:
from urllib import quote
import dateutil.parser
from tornado.gen import coroutine, multi
from tornado.locks import Semaphore
from tornado.log import app_log
from tornado.httpclient import AsyncHTTPClient, HTTPRequest
from tornado.ioloop import IOLoop, PeriodicCallback
from tornado.options import define, options, parse_command_line
def parse_date(date_string):
"""Parse a timestamp
If it doesn't have a timezone, assume utc
Returned datetime object will always be timezone-aware
"""
dt = dateutil.parser.parse(date_string)
if not dt.tzinfo:
# assume naive timestamps are UTC
dt = dt.replace(tzinfo=timezone.utc)
return dt
def format_td(td):
"""
Nicely format a timedelta object
as HH:MM:SS
"""
if td is None:
return "unknown"
if isinstance(td, str):
return td
seconds = int(td.total_seconds())
h = seconds // 3600
seconds = seconds % 3600
m = seconds // 60
seconds = seconds % 60
return "{h:02}:{m:02}:{seconds:02}".format(h=h, m=m, seconds=seconds)
@coroutine
def cull_idle(
url, api_token, inactive_limit, cull_users=False, max_age=0, concurrency=10
):
"""Shutdown idle single-user servers
If cull_users, inactive *users* will be deleted as well.
"""
auth_header = {'Authorization': 'token %s' % api_token}
req = HTTPRequest(url=url + '/users', headers=auth_header)
now = datetime.now(timezone.utc)
client = AsyncHTTPClient()
if concurrency:
semaphore = Semaphore(concurrency)
@coroutine
def fetch(req):
"""client.fetch wrapped in a semaphore to limit concurrency"""
yield semaphore.acquire()
try:
return (yield client.fetch(req))
finally:
yield semaphore.release()
else:
fetch = client.fetch
resp = yield fetch(req)
users = json.loads(resp.body.decode('utf8', 'replace'))
futures = []
@coroutine
def handle_server(user, server_name, server, max_age, inactive_limit):
"""Handle (maybe) culling a single server
"server" is the entire server model from the API.
Returns True if server is now stopped (user removable),
False otherwise.
"""
log_name = user['name']
if server_name:
log_name = '%s/%s' % (user['name'], server_name)
if server.get('pending'):
app_log.warning(
"Not culling server %s with pending %s", log_name, server['pending']
)
return False
# jupyterhub < 0.9 defined 'server.url' once the server was ready
# as an *implicit* signal that the server was ready.
# 0.9 adds a dedicated, explicit 'ready' field.
# By current (0.9) definitions, servers that have no pending
# events and are not ready shouldn't be in the model,
# but let's check just to be safe.
if not server.get('ready', bool(server['url'])):
app_log.warning(
"Not culling not-ready not-pending server %s: %s", log_name, server
)
return False
if server.get('started'):
age = now - parse_date(server['started'])
else:
# started may be undefined on jupyterhub < 0.9
age = None
# check last activity
# last_activity can be None in 0.9
if server['last_activity']:
inactive = now - parse_date(server['last_activity'])
else:
# no activity yet, use start date
# last_activity may be None with jupyterhub 0.9,
# which introduces the 'started' field which is never None
# for running servers
inactive = age
# CUSTOM CULLING TEST CODE HERE
# Add in additional server tests here. Return False to mean "don't
# cull", True means "cull immediately", or, for example, update some
# other variables like inactive_limit.
#
# Here, server['state'] is the result of the get_state method
# on the spawner. This does *not* contain the below by
# default, you may have to modify your spawner to make this
# work. The `user` variable is the user model from the API.
#
# if server['state']['profile_name'] == 'unlimited'
# return False
# inactive_limit = server['state']['culltime']
should_cull = (
inactive is not None and inactive.total_seconds() >= inactive_limit
)
if should_cull:
app_log.info(
"Culling server %s (inactive for %s)", log_name, format_td(inactive)
)
if max_age and not should_cull:
# only check started if max_age is specified
# so that we can still be compatible with jupyterhub 0.8
# which doesn't define the 'started' field
if age is not None and age.total_seconds() >= max_age:
app_log.info(
"Culling server %s (age: %s, inactive for %s)",
log_name,
format_td(age),
format_td(inactive),
)
should_cull = True
if not should_cull:
app_log.debug(
"Not culling server %s (age: %s, inactive for %s)",
log_name,
format_td(age),
format_td(inactive),
)
return False
if server_name:
# culling a named server
delete_url = url + "/users/%s/servers/%s" % (
quote(user['name']),
quote(server['name']),
)
else:
delete_url = url + '/users/%s/server' % quote(user['name'])
req = HTTPRequest(url=delete_url, method='DELETE', headers=auth_header)
resp = yield fetch(req)
if resp.code == 202:
app_log.warning("Server %s is slow to stop", log_name)
# return False to prevent culling user with pending shutdowns
return False
return True
@coroutine
def handle_user(user):
"""Handle one user.
Create a list of their servers, and async exec them. Wait for
that to be done, and if all servers are stopped, possibly cull
the user.
"""
# shutdown servers first.
# Hub doesn't allow deleting users with running servers.
# jupyterhub 0.9 always provides a 'servers' model.
# 0.8 only does this when named servers are enabled.
if 'servers' in user:
servers = user['servers']
else:
# jupyterhub < 0.9 without named servers enabled.
# create servers dict with one entry for the default server
# from the user model.
# only if the server is running.
servers = {}
if user['server']:
servers[''] = {
'last_activity': user['last_activity'],
'pending': user['pending'],
'url': user['server'],
}
server_futures = [
handle_server(user, server_name, server, max_age, inactive_limit)
for server_name, server in servers.items()
]
results = yield multi(server_futures)
if not cull_users:
return
# some servers are still running, cannot cull users
still_alive = len(results) - sum(results)
if still_alive:
app_log.debug(
"Not culling user %s with %i servers still alive",
user['name'],
still_alive,
)
return False
should_cull = False
if user.get('created'):
age = now - parse_date(user['created'])
else:
# created may be undefined on jupyterhub < 0.9
age = None
# check last activity
# last_activity can be None in 0.9
if user['last_activity']:
inactive = now - parse_date(user['last_activity'])
else:
# no activity yet, use start date
# last_activity may be None with jupyterhub 0.9,
# which introduces the 'created' field which is never None
inactive = age
should_cull = (
inactive is not None and inactive.total_seconds() >= inactive_limit
)
if should_cull:
app_log.info("Culling user %s (inactive for %s)", user['name'], inactive)
if max_age and not should_cull:
# only check created if max_age is specified
# so that we can still be compatible with jupyterhub 0.8
# which doesn't define the 'started' field
if age is not None and age.total_seconds() >= max_age:
app_log.info(
"Culling user %s (age: %s, inactive for %s)",
user['name'],
format_td(age),
format_td(inactive),
)
should_cull = True
if not should_cull:
app_log.debug(
"Not culling user %s (created: %s, last active: %s)",
user['name'],
format_td(age),
format_td(inactive),
)
return False
req = HTTPRequest(
url=url + '/users/%s' % user['name'], method='DELETE', headers=auth_header
)
yield fetch(req)
return True
for user in users:
futures.append((user['name'], handle_user(user)))
for (name, f) in futures:
try:
result = yield f
except Exception:
app_log.exception("Error processing %s", name)
else:
if result:
app_log.debug("Finished culling %s", name)
if __name__ == '__main__':
define(
'url',
default=os.environ.get('JUPYTERHUB_API_URL'),
help="The JupyterHub API URL",
)
define('timeout', default=600, help="The idle timeout (in seconds)")
define(
'cull_every',
default=0,
help="The interval (in seconds) for checking for idle servers to cull",
)
define(
'max_age',
default=0,
help="The maximum age (in seconds) of servers that should be culled even if they are active",
)
define(
'cull_users',
default=False,
help="""Cull users in addition to servers.
This is for use in temporary-user cases such as tmpnb.""",
)
define(
'concurrency',
default=10,
help="""Limit the number of concurrent requests made to the Hub.
Deleting a lot of users at the same time can slow down the Hub,
so limit the number of API requests we have outstanding at any given time.
""",
)
parse_command_line()
if not options.cull_every:
options.cull_every = options.timeout // 2
api_token = os.environ['JUPYTERHUB_API_TOKEN']
try:
AsyncHTTPClient.configure("tornado.curl_httpclient.CurlAsyncHTTPClient")
except ImportError as e:
app_log.warning(
"Could not load pycurl: %s\n"
"pycurl is recommended if you have a large number of users.",
e,
)
loop = IOLoop.current()
cull = partial(
cull_idle,
url=options.url,
api_token=api_token,
inactive_limit=options.timeout,
cull_users=options.cull_users,
max_age=options.max_age,
concurrency=options.concurrency,
)
# schedule first cull immediately
# because PeriodicCallback doesn't start until the end of the first interval
loop.add_callback(cull)
# schedule periodic cull
pc = PeriodicCallback(cull, 1e3 * options.cull_every)
pc.start()
try:
loop.start()
except KeyboardInterrupt:
pass