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weave/test/scheduler/main.py
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import operator
import flask
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
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/<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/<int: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 = "%d-%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)])