Files
weave-scope/scheduler/main.py
T
Tom Wilkie a7eef92988 Squashed 'tools/' changes from 1fc4d66..3ec519f
3ec519f Merge pull request #12 from weaveworks/prefix-unit-test-sched
856790f Use golang package name as a prefix on unit test schedules.
7f5fa57 Merge pull request #11 from weaveworks/10-dont-delete-sshed-gce-nodes
0bff9b4 Don't delete GCE nodes for running (but failed) builds
03aed8f Merge pull request #9 from weaveworks/configure-pac-domain
c04c534 socks: Make main shExpMatch expression configurable

git-subtree-dir: tools
git-subtree-split: 3ec519f704
2015-12-07 14:53:05 +00:00

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import collections
import json
import logging
import operator
import re
import flask
from oauth2client.client import GoogleCredentials
from googleapiclient import discovery
from google.appengine.api import urlfetch
from google.appengine.ext import ndb
app = flask.Flask('scheduler')
app.debug = True
# We use exponential moving average to record
# test run times. Higher alpha discounts historic
# observations faster.
alpha = 0.3
PROJECT = 'positive-cocoa-90213'
ZONE = 'us-central1-a'
class Test(ndb.Model):
total_run_time = ndb.FloatProperty(default=0.) # Not total, but a EWMA
total_runs = ndb.IntegerProperty(default=0)
class Schedule(ndb.Model):
shards = ndb.JsonProperty()
@app.route('/record/<path:test_name>/<runtime>', methods=['POST'])
@ndb.transactional
def record(test_name, runtime):
test = Test.get_by_id(test_name)
if test is None:
test = Test(id=test_name)
test.total_run_time = (test.total_run_time * (1-alpha)) + (float(runtime) * alpha)
test.total_runs += 1
test.put()
return ('', 204)
@app.route('/schedule/<test_run>/<int:shard_count>/<int:shard>', methods=['POST'])
def schedule(test_run, shard_count, shard):
# read tests from body
test_names = flask.request.get_json(force=True)['tests']
# first see if we have a scedule already
schedule_id = "%s-%d" % (test_run, shard_count)
schedule = Schedule.get_by_id(schedule_id)
if schedule is not None:
return flask.json.jsonify(tests=schedule.shards[str(shard)])
# if not, do simple greedy algorithm
test_times = ndb.get_multi(ndb.Key(Test, test_name) for test_name in test_names)
def avg(test):
if test is not None:
return test.total_run_time
return 1
test_times = [(test_name, avg(test)) for test_name, test in zip(test_names, test_times)]
test_times_dict = dict(test_times)
test_times.sort(key=operator.itemgetter(1))
shards = {i: [] for i in xrange(shard_count)}
while test_times:
test_name, time = test_times.pop()
# find shortest shard and put it in that
s, _ = min(((i, sum(test_times_dict[t] for t in shards[i]))
for i in xrange(shard_count)), key=operator.itemgetter(1))
shards[s].append(test_name)
# atomically insert or retrieve existing schedule
schedule = Schedule.get_or_insert(schedule_id, shards=shards)
return flask.json.jsonify(tests=schedule.shards[str(shard)])
NAME_RE = re.compile(r'^host(?P<index>\d+)-(?P<build>\d+)-(?P<shard>\d+)$')
@app.route('/tasks/gc')
def gc():
# Get list of running VMs, pick build id out of VM name
credentials = GoogleCredentials.get_application_default()
compute = discovery.build('compute', 'v1', credentials=credentials)
instances = compute.instances().list(project=PROJECT, zone=ZONE).execute()
host_by_build = collections.defaultdict(list)
for instance in instances['items']:
matches = NAME_RE.match(instance['name'])
if matches is None:
continue
host_by_build[int(matches.group('build'))].append(instance['name'])
logging.info("Running VMs by build: %r", host_by_build)
# Get list of builds, filter down to runnning builds
result = urlfetch.fetch('https://circleci.com/api/v1/project/weaveworks/weave',
headers={'Accept': 'application/json'})
assert result.status_code == 200
builds = json.loads(result.content)
running = {build['build_num'] for build in builds if not build.get('stop_time')}
logging.info("Runnings builds: %r", running)
# Stop VMs for builds that aren't running
stopped = []
for build, names in host_by_build.iteritems():
if build in running:
continue
for name in names:
stopped.append(name)
logging.info("Stopping VM %s", name)
compute.instances().delete(project=PROJECT, zone=ZONE, instance=name).execute()
return (flask.json.jsonify(running=list(running), stopped=stopped), 200)