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faultspaceplot: add ticks for symbols if available

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+ use helper scripts from the same dir, not from $PATH

Change-Id: I7aba773c8dbff5f8643a39fa1ed8d26867f3a86d
This commit is contained in:
Horst Schirmeier
2016-02-14 16:20:23 +01:00
parent 3dd7c9cb48
commit ea0a5f90e2
2 changed files with 86 additions and 4 deletions
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30
tools/analysis/faultspaceplot/faultspaceplot.sh
View File

@ -9,9 +9,17 @@ fi
DATABASE=$1
VARIANT=$2
BENCHMARK=$3
# add "-t" for more readable output
MYSQL="mysql -B --quick $DATABASE"
MYDIR=$(dirname $0)
function table_exists()
{
N=$(echo "SHOW TABLES LIKE '$1'" | $MYSQL $DATABASE | wc -l)
[ $N -gt 0 ]
return
}
# get data
echo "getting faultspace data.."
$MYSQL <<EOT > "$VARIANT"_"$BENCHMARK"-raw.csv
@ -44,8 +52,24 @@ EOT
# compact data
echo "compacting data.."
fsp.compact.sh "$VARIANT"_"$BENCHMARK"-raw.csv "$VARIANT"_"$BENCHMARK"-plot.csv
"$MYDIR"/fsp.compact.sh "$VARIANT"_"$BENCHMARK"-raw.csv "$VARIANT"_"$BENCHMARK"-plot.csv
# fetch symbols if available
if table_exists symbol; then
echo "getting symbol information ..."
$MYSQL <<EOT > "$VARIANT"_"$BENCHMARK"-symbols.csv
SELECT s.address, s.size, s.name
FROM variant v
JOIN symbol s ON s.variant_id = v.id
WHERE v.variant = '$VARIANT' AND v.benchmark = '$BENCHMARK'
ORDER BY s.address
EOT
fi
# plot data
echo "plotting.."
fsp.plot.py "$VARIANT"_"$BENCHMARK"-plot.csv
if [ -e "$VARIANT"_"$BENCHMARK"-symbols.csv -a $(wc -l < "$VARIANT"_"$BENCHMARK"-symbols.csv) -gt 1 ]; then
"$MYDIR"/fsp.plot.py "$VARIANT"_"$BENCHMARK"-plot.csv "$VARIANT"_"$BENCHMARK"-symbols.csv
else
"$MYDIR"/fsp.plot.py "$VARIANT"_"$BENCHMARK"-plot.csv
fi

60
tools/analysis/faultspaceplot/fsp.plot.py
View File

@ -42,7 +42,7 @@ if sys.argv[1] == '-h':
print "DATA_FILE is a CSV-file, storing the tab-separated values"
print "retrieved by the experiment run. USER_TAG_FILE is an optional"
print "CSV-file which can be used to add user-specific marks to the"
print "plot (not implemented yet)." # TODO: be more precise here
print "plot." # TODO: be more precise here
exit(0)
print "Opening and processing \"" + sys.argv[1] + "\"..."
@ -52,6 +52,17 @@ file.seek(0)
reader = csv.reader(file, dialect)
reader.next() # Move down a line to skip the header
if len(sys.argv) >= 3:
print "Opening and processing \"" + sys.argv[2] + "\"..."
symbolfile = open(sys.argv[2], "r")
dialect = csv.Sniffer().sniff(symbolfile.read(1024))
symbolfile.seek(0)
symbolreader = csv.reader(symbolfile, dialect)
symbolreader.next() # Move down a line to skip the header
have_symbols = True
else:
have_symbols = False
fig = plt.figure()
xmin = 99999999
@ -104,5 +115,52 @@ plt.ylim(ymin, ymax)
plt.ylabel('Data Memory (RAM)')
plt.xlabel('Time (Cycles)')
# show symbols
if have_symbols:
# Adding 2nd y-axis for object names
ax1 = fig.add_subplot(111)
ax2 = ax1.twinx()
ax2.set_ylabel('Symbols')
# necessary for proper symbol placement
plt.ylim(ymin, ymax)
ticks = []
symbols = []
IDX_SYMBOL_ADDRESS = 0; IDX_SYMBOL_SIZE = 1; IDX_SYMBOL_NAME = 2;
for row in symbolreader:
# TODO: somehow plot size as well
address = int(row[IDX_SYMBOL_ADDRESS])
size = int(row[IDX_SYMBOL_SIZE])
if (address >= ymin) and (address <= ymax):
ticks.append(address)
symbols.append(row[IDX_SYMBOL_NAME])
#print "symbol: " + str(address) + " " + str(size) + " " + row[IDX_SYMBOL_NAME]
elif (address < ymin) and (address + size >= ymin):
ticks.append(ymin)
symbols.append("(" + row[IDX_SYMBOL_NAME] + ")")
#print "partial symbol: " + str(address) + " " + str(size) + " " + row[IDX_SYMBOL_NAME]
else:
#print "skipped symbol: " + str(address) + " " + str(size) + " " + row[IDX_SYMBOL_NAME]
pass
# list of interesting addresses
ax2.yaxis.set_ticks(ticks)
ax2.yaxis.grid(b=True, color='gray')
# create minor ticks centered between major tick marks
centered_ticks = []
major_locator = ax2.yaxis.get_major_locator()
major_locs = major_locator()
for i in range(1,len(major_locs)):
y_last,y = major_locs[i-1],major_locs[i]
centered_ticks.append(0.5*(y+y_last))
ax2.yaxis.set_ticks(centered_ticks, minor=True)
# list of corresponding symbol names
ax2.set_yticklabels(symbols, minor=False, rotation=0, rotation_mode='anchor')
plt.show()
#pylab.savefig('baseline.pdf', bbox_inches='tight')