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# Copyright 2015, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following disclaimer
# in the documentation and/or other materials provided with the
# distribution.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""Run a group of subprocesses and then finish."""
import hashlib
import multiprocessing
import os
import random
import subprocess
import sys
import tempfile
import time
_DEFAULT_MAX_JOBS = 16 * multiprocessing.cpu_count()
def shuffle_iteratable(it):
"""Return an iterable that randomly walks it"""
# take a random sampling from the passed in iterable
# we take an element with probablity 1/p and rapidly increase
# p as we take elements - this gives us a somewhat random set of values before
# we've seen all the values, but starts producing values without having to
# compute ALL of them at once, allowing tests to start a little earlier
nextit = []
p = 1
for val in it:
if random.randint(0, p) == 0:
p = min(p*2, 100)
yield val
else:
nextit.append(val)
# after taking a random sampling, we shuffle the rest of the elements and
# yield them
random.shuffle(nextit)
for val in nextit:
yield val
_SUCCESS = object()
_FAILURE = object()
_RUNNING = object()
_KILLED = object()
_COLORS = {
'red': [ 31, 0 ],
'green': [ 32, 0 ],
'yellow': [ 33, 0 ],
'lightgray': [ 37, 0],
'gray': [ 30, 1 ],
}
_BEGINNING_OF_LINE = '\x1b[0G'
_CLEAR_LINE = '\x1b[2K'
_TAG_COLOR = {
'FAILED': 'red',
'PASSED': 'green',
'START': 'gray',
'WAITING': 'yellow',
'SUCCESS': 'green',
'IDLE': 'gray',
}
def message(tag, message, explanatory_text=None, do_newline=False):
sys.stdout.write('%s%s%s\x1b[%d;%dm%s\x1b[0m: %s%s' % (
_BEGINNING_OF_LINE,
_CLEAR_LINE,
'\n%s' % explanatory_text if explanatory_text is not None else '',
_COLORS[_TAG_COLOR[tag]][1],
_COLORS[_TAG_COLOR[tag]][0],
tag,
message,
'\n' if do_newline or explanatory_text is not None else ''))
sys.stdout.flush()
def which(filename):
if '/' in filename:
return filename
for path in os.environ['PATH'].split(os.pathsep):
if os.path.exists(os.path.join(path, filename)):
return os.path.join(path, filename)
raise Exception('%s not found' % filename)
class JobSpec(object):
"""Specifies what to run for a job."""
def __init__(self, cmdline, shortname=None, environ={}, hash_targets=[]):
"""
Arguments:
cmdline: a list of arguments to pass as the command line
environ: a dictionary of environment variables to set in the child process
hash_targets: which files to include in the hash representing the jobs version
(or empty, indicating the job should not be hashed)
"""
self.cmdline = cmdline
self.environ = environ
self.shortname = cmdline[0] if shortname is None else shortname
self.hash_targets = hash_targets or []
def identity(self):
return '%r %r %r' % (self.cmdline, self.environ, self.hash_targets)
def __hash__(self):
return hash(self.identity())
def __cmp__(self, other):
return self.identity() == other.identity()
class Job(object):
"""Manages one job."""
def __init__(self, spec, bin_hash, newline_on_success):
self._spec = spec
self._bin_hash = bin_hash
self._tempfile = tempfile.TemporaryFile()
env = os.environ.copy()
for k, v in spec.environ.iteritems():
env[k] = v
self._process = subprocess.Popen(args=spec.cmdline,
stderr=subprocess.STDOUT,
stdout=self._tempfile,
env=env)
self._state = _RUNNING
self._newline_on_success = newline_on_success
message('START', spec.shortname)
def state(self, update_cache):
"""Poll current state of the job. Prints messages at completion."""
if self._state == _RUNNING and self._process.poll() is not None:
if self._process.returncode != 0:
self._state = _FAILURE
self._tempfile.seek(0)
stdout = self._tempfile.read()
message('FAILED', '%s [ret=%d]' % (
self._spec.shortname, self._process.returncode), stdout)
else:
self._state = _SUCCESS
message('PASSED', self._spec.shortname,
do_newline=self._newline_on_success)
if self._bin_hash:
update_cache.finished(self._spec.identity(), self._bin_hash)
return self._state
def kill(self):
if self._state == _RUNNING:
self._state = _KILLED
self._process.terminate()
class Jobset(object):
"""Manages one run of jobs."""
def __init__(self, check_cancelled, maxjobs, newline_on_success, cache):
self._running = set()
self._check_cancelled = check_cancelled
self._cancelled = False
self._failures = 0
self._completed = 0
self._maxjobs = maxjobs
self._newline_on_success = newline_on_success
self._cache = cache
def start(self, spec):
"""Start a job. Return True on success, False on failure."""
while len(self._running) >= self._maxjobs:
if self.cancelled(): return False
self.reap()
if self.cancelled(): return False
if spec.hash_targets:
bin_hash = hashlib.sha1()
for fn in spec.hash_targets:
with open(which(fn)) as f:
bin_hash.update(f.read())
bin_hash = bin_hash.hexdigest()
should_run = self._cache.should_run(spec.identity(), bin_hash)
else:
bin_hash = None
should_run = True
if should_run:
self._running.add(Job(spec,
bin_hash,
self._newline_on_success))
return True
def reap(self):
"""Collect the dead jobs."""
while self._running:
dead = set()
for job in self._running:
st = job.state(self._cache)
if st == _RUNNING: continue
if st == _FAILURE: self._failures += 1
dead.add(job)
for job in dead:
self._completed += 1
self._running.remove(job)
if dead: return
message('WAITING', '%d jobs running, %d complete, %d failed' % (
len(self._running), self._completed, self._failures))
time.sleep(0.1)
def cancelled(self):
"""Poll for cancellation."""
if self._cancelled: return True
if not self._check_cancelled(): return False
for job in self._running:
job.kill()
self._cancelled = True
return True
def finish(self):
while self._running:
if self.cancelled(): pass # poll cancellation
self.reap()
return not self.cancelled() and self._failures == 0
def _never_cancelled():
return False
# cache class that caches nothing
class NoCache(object):
def should_run(self, cmdline, bin_hash):
return True
def finished(self, cmdline, bin_hash):
pass
def run(cmdlines,
check_cancelled=_never_cancelled,
maxjobs=None,
newline_on_success=False,
cache=None):
js = Jobset(check_cancelled,
maxjobs if maxjobs is not None else _DEFAULT_MAX_JOBS,
newline_on_success,
cache if cache is not None else NoCache())
for cmdline in shuffle_iteratable(cmdlines):
if not js.start(cmdline):
break
return js.finish()