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#!/usr/bin/env python
from __future__ import print_function
import config.config as conf
import os
import parse.ft as ft
import parse.sched as st
import shutil as sh
import sys
from collections import namedtuple
from common import load_params
from optparse import OptionParser
from parse.point import ExpPoint
from parse.tuple_table import ColMap,TupleTable
def parse_args():
# TODO: convert data-dir to proper option, clean 'dest' options
parser = OptionParser("usage: %prog [options] [data_dir]...")
print("default to no params.py")
parser.add_option('-o', '--out', dest='out',
help='file or directory for data output', default='parse-data')
parser.add_option('-c', '--clean', action='store_true', default=False,
dest='clean', help='do not output single-point csvs')
parser.add_option('-i', '--ignore', metavar='[PARAM...]', default="",
help='ignore changing parameter values')
parser.add_option('-f', '--force', action='store_true', default=False,
dest='force', help='overwrite existing data')
parser.add_option('-v', '--verbose', action='store_true', default=False,
dest='verbose', help='print out data points')
parser.add_option('-m', '--write-map', action='store_true', default=False,
dest='write_map',
help='Output map of values instead of csv tree')
return parser.parse_args()
ExpData = namedtuple('ExpData', ['path', 'params', 'work_dir'])
def get_exp_params(data_dir, col_map):
param_file = "%s/%s" % (data_dir, conf.DEFAULTS['params_file'])
if not os.path.isfile:
raise Exception("No param file '%s' exists!" % param_file)
params = load_params(param_file)
# Store parameters in col_map, which will track which parameters change
# across experiments
for key, value in params.iteritems():
col_map.try_add(key, value)
# Cycles must be present for feather-trace measurement parsing
if conf.PARAMS['cycles'] not in params:
params[conf.PARAMS['cycles']] = conf.DEFAULTS['cycles']
return params
def load_exps(exp_dirs, col_map, clean):
exps = []
sys.stderr.write("Loading experiments...\n")
for data_dir in exp_dirs:
if not os.path.isdir(data_dir):
raise IOError("Invalid experiment '%s'" % os.path.abspath(data_dir))
# Used to store error output and debugging info
work_dir = data_dir + "/tmp"
if os.path.exists(work_dir) and clean:
sh.rmtree(work_dir)
if not os.path.exists(work_dir):
os.mkdir(work_dir)
params = get_exp_params(data_dir, col_map)
exps += [ ExpData(data_dir, params, work_dir) ]
return exps
def main():
opts, args = parse_args()
args = args or [os.getcwd()]
# Load exp parameters into col_map
col_map = ColMap()
exps = load_exps(args, col_map, opts.force)
# Don't track changes in ignored parameters
if opts.ignore:
for param in opts.ignore.split(","):
col_map.try_remove(param)
result_table = TupleTable(col_map)
sys.stderr.write("Parsing data...\n")
for i,exp in enumerate(exps):
result = ExpPoint(exp.path)
cycles = exp.params[conf.PARAMS['cycles']]
# Write overheads into result
ft.extract_ft_data(result, exp.path, exp.work_dir, cycles)
# Write scheduling statistics into result
st.extract_sched_data(result, exp.path, exp.work_dir)
if opts.verbose:
print(result)
else:
sys.stderr.write('\r {0:.2%}'.format(float(i)/len(exps)))
result_table.add_exp(exp.params, result)
sys.stderr.write('\n')
if opts.force and os.path.exists(opts.out):
sh.rmtree(opts.out)
result_table.reduce()
sys.stderr.write("Writing result...\n")
if opts.write_map:
# Write summarized results into map
result_table.write_map(opts.out)
else:
# Write out csv directories for all variable params
dir_map = result_table.to_dir_map()
dir_map.write(opts.out)
if __name__ == '__main__':
main()
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