# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2014-2017 GEM Foundation
#
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OpenQuake is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <http://www.gnu.org/licenses/>.
from __future__ import print_function
import os
import collections
import tempfile
import logging
import cProfile
import pstats
from openquake.baselib import performance, general, sap, datastore
from openquake.hazardlib import valid
from openquake.commonlib import readinput, oqvalidation
from openquake.calculators import base, views
calc_path = None # set only when the flag --slowest is given
PStatData = collections.namedtuple(
'PStatData', 'ncalls tottime percall cumtime percall2 path')
[docs]def get_pstats(pstatfile, n):
"""
Return profiling information as an RST table.
:param pstatfile: path to a .pstat file
:param n: the maximum number of stats to retrieve
"""
with tempfile.TemporaryFile(mode='w+') as stream:
ps = pstats.Stats(pstatfile, stream=stream)
ps.sort_stats('cumtime')
ps.print_stats(n)
stream.seek(0)
lines = list(stream)
for i, line in enumerate(lines):
if line.startswith(' ncalls'):
break
data = []
for line in lines[i + 2:]:
columns = line.split()
if len(columns) == 6:
data.append(PStatData(*columns))
rows = [(rec.ncalls, rec.cumtime, rec.path) for rec in data]
# here is an example of the expected output table:
# ====== ======= ========================================================
# ncalls cumtime path
# ====== ======= ========================================================
# 1 33.502 commands/run.py:77(_run)
# 1 33.483 calculators/base.py:110(run)
# 1 25.166 calculators/classical.py:115(execute)
# 1 25.104 baselib.parallel.py:249(apply_reduce)
# 1 25.099 calculators/classical.py:41(classical)
# 1 25.099 hazardlib/calc/hazard_curve.py:164(classical)
return views.rst_table(rows, header='ncalls cumtime path'.split())
[docs]def run2(job_haz, job_risk, concurrent_tasks, pdb, exports, params, monitor):
"""
Run both hazard and risk, one after the other
"""
hcalc = base.calculators(readinput.get_oqparam(job_haz), monitor)
with monitor:
hcalc.run(concurrent_tasks=concurrent_tasks, pdb=pdb,
exports=exports, **params)
hc_id = hcalc.datastore.calc_id
oq = readinput.get_oqparam(job_risk, hc_id=hc_id)
rcalc = base.calculators(oq)
with rcalc._monitor:
# disable concurrency in the second calculation to avoid fork issues
rcalc.run(concurrent_tasks=0, pdb=pdb, exports=exports,
hazard_calculation_id=hc_id, **params)
return rcalc
def _run(job_ini, concurrent_tasks, pdb, loglevel, hc, exports, params):
global calc_path
logging.basicConfig(level=getattr(logging, loglevel.upper()))
job_inis = job_ini.split(',')
assert len(job_inis) in (1, 2), job_inis
monitor = performance.Monitor('complete runtime', measuremem=True)
if len(job_inis) == 1: # run hazard or risk
if hc:
hc_id = hc[0]
rlz_ids = hc[1:]
else:
hc_id = None
rlz_ids = ()
oqparam = readinput.get_oqparam(job_inis[0], hc_id=hc_id)
if hc_id and hc_id < 0: # interpret negative calculation ids
calc_ids = datastore.get_calc_ids()
try:
hc_id = calc_ids[hc_id]
except IndexError:
raise SystemExit(
'There are %d old calculations, cannot '
'retrieve the %s' % (len(calc_ids), hc_id))
calc = base.calculators(oqparam, monitor)
with calc._monitor:
calc.run(concurrent_tasks=concurrent_tasks, pdb=pdb,
exports=exports, hazard_calculation_id=hc_id,
rlz_ids=rlz_ids, **params)
else: # run hazard + risk
calc = run2(
job_inis[0], job_inis[1], concurrent_tasks, pdb,
exports, params, monitor)
logging.info('Total time spent: %s s', monitor.duration)
logging.info('Memory allocated: %s', general.humansize(monitor.mem))
monitor.flush()
print('See the output with hdfview %s' % calc.datastore.hdf5path)
calc_path = calc.datastore.calc_dir # used for the .pstat filename
return calc
@sap.Script
def run(job_ini, slowest, hc, param, concurrent_tasks=None, exports='',
loglevel='info', pdb=None):
"""
Run a calculation bypassing the database layer
"""
params = oqvalidation.OqParam.check(
dict(p.split('=', 1) for p in param or ()))
if slowest:
prof = cProfile.Profile()
stmt = ('_run(job_ini, concurrent_tasks, pdb, loglevel, hc, '
'exports, params)')
prof.runctx(stmt, globals(), locals())
pstat = calc_path + '.pstat'
prof.dump_stats(pstat)
print('Saved profiling info in %s' % pstat)
print(get_pstats(pstat, slowest))
else:
_run(job_ini, concurrent_tasks, pdb, loglevel, hc, exports, params)
run.arg('job_ini', 'calculation configuration file '
'(or files, comma-separated)')
run.opt('slowest', 'profile and show the slowest operations', type=int)
run.opt('hc', 'previous calculation ID', type=valid.hazard_id)
run.opt('param', 'override parameter with the syntax NAME=VALUE ...',
nargs='+')
run.opt('concurrent_tasks', 'hint for the number of tasks to spawn',
type=int)
run.opt('exports', 'export formats as a comma-separated string',
type=valid.export_formats)
run.opt('loglevel', 'logging level',
choices='debug info warn error critical'.split())
run.flg('pdb', 'enable post mortem debugging', '-d')