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#!/usr/bin/env python
import defapp
from optparse import make_option as o
from os.path import splitext, basename
import sys
from util import load_csv_file
def split_rows(rows, key_col):
by_key_col = {}
key_order = []
# hash each row according by its key
for r in rows:
key = r[key_col]
if not key in by_key_col:
key_order.append(key)
by_key_col[key] = []
by_key_col[key].append(r)
return (by_key_col, key_order)
def group(rows, key_col):
(by, order) = split_rows(rows, key_col)
for k in order:
yield (k, by[k])
def aggregate_column(rows, key_col, aggregate_fun):
by_key, order = split_rows(rows, key_col)
for key in order:
yield aggregate_fun(by_key[key])
def weighted_schedulability(data, key_col, ucap_col):
def wsched(rows):
# Every column except for the key_col and the ucap_col
# is presumed to be schedulability values.
key = rows[0][key_col]
cols = len(rows[0])
accum = [0.0 for _ in xrange(cols)]
norm = 0.0
umax = 0.0
for r in rows:
ucap = r[ucap_col]
umax = max(ucap, umax)
norm += ucap
for i, val in enumerate(r):
if i != key_col and i != ucap_col:
accum[i] += ucap * val
return [(accum[i] / norm) if i != key_col and i != ucap_col
else (key if i == key_col else umax) for i in xrange(cols)]
return aggregate_column(data, key_col, wsched)
def print_row(row, out, fmt):
out.write(", ".join(fmt % d for d in row))
out.write("\n")
def filter_wsched(fname, key, ucap, out=sys.stdout, fmt="%10.3f"):
data = load_csv_file(fname, dtype=float)
for row in weighted_schedulability(data, key, ucap):
print_row(row, out, fmt)
out.flush()
def filter_comments(fname, is_comment=lambda line: line and line[0] == '#',
out=sys.stdout):
f = open(fname, 'r')
for line in f:
if is_comment(line):
out.write(line)
out.flush()
f.close()
options = [
# output options
o('-o', '--output-prefix', action='store', dest='prefix'),
o('-k', '--key-column', action='store', type='int', dest='keycol'),
o('-u', '--ucap-column', action='store', type='int', dest='ucol'),
o(None, '--no-comments', action='store_true', dest='no_comments'),
o('-w', '--col-width', action='store', type='int', dest='colwidth'),
o(None, '--split', action='store_true', dest='want_split'),
o('-f', '--key-format', action='store', dest='key_fmt'),
]
defaults = {
'prefix' : None,
'keycol' : 0,
'ucol' : 1,
'no_comments' : False,
'colwidth' : 10,
'precision' : 3,
'indent' : 2,
'key_fmt' : "_key=%d",
'want_split' : False,
}
class WschedFilter(defapp.App):
def __init__(self):
defapp.App.__init__(self, options, defaults, no_std_opts=True)
self.out = sys.stdout
def filter_wsched(self, fname, out=sys.stdout):
data = load_csv_file(fname, dtype=float)
for row in weighted_schedulability(
data, self.options.keycol, self.options.ucol):
out.write(" " * self.options.indent)
out.write(", ".join(self.fmt % d for d in row))
out.write("\n")
out.flush()
def target_name(self, fname, extra=None):
bname = basename(fname)
if extra:
bname, ext = splitext(bname)
bname = "%s%s%s" % (bname, extra, ext)
return self.options.prefix + bname
def filter_file(self, fin, fout=None):
out = open(fout, 'w') if fout else sys.stdout
if not self.options.no_comments:
filter_comments(fin, out=out)
self.filter_wsched(fin, out=out)
if fout:
out.close()
def write_split(self, fin, fout, rows):
out = open(fout, 'w')
if not self.options.no_comments:
filter_comments(fin, out=out)
for r in rows:
print_row(r, out, self.fmt)
out.close()
def split_file(self, fname):
data = load_csv_file(fname, dtype=float)
for (key, rows) in group(data, self.options.keycol):
fout = self.target_name(fname, self.options.key_fmt % key)
print '\t->', fout
self.write_split(fname, fout, rows)
def wsched(self, _):
if self.options.prefix:
for i, datafile in enumerate(self.args):
fout = self.target_name(datafile)
print "[%d/%d] %s -> %s" % \
(i + 1, len(self.args), datafile, fout)
try:
self.filter_file(datafile, fout)
except IOError as ioe:
sys.stderr.write("[!!] ")
sys.stderr.write(str(ioe))
sys.stderr.write("\n")
else:
for fname in self.args:
self.filter_file(fname)
def split(self, _):
if self.options.prefix:
for i, datafile in enumerate(self.args):
print "[%d/%d] Splitting %s..." % \
(i + 1, len(self.args), datafile)
try:
self.split_file(datafile)
except IOError as ioe:
sys.stderr.write("[!!] ")
sys.stderr.write(str(ioe))
sys.stderr.write("\n")
else:
print "split: requires output prefix (-o)."
def default(self, _):
self.fmt = "%%%d.%df" % (self.options.colwidth, self.options.precision)
if self.options.want_split:
self.split(_)
else:
self.wsched(_)
if __name__ == '__main__':
WschedFilter().launch()
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