xCAT/confluent
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Add iterm and kitty image support to stats

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This delivers improved graphics
speed and quality for selected terminals.
This commit is contained in:
Jarrod Johnson 2023-10-13 15:25:08 -04:00
parent bfbb7c2843
commit 0434f38ea1
1 changed files with 36 additions and 9 deletions
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45
confluent_client/bin/stats
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@ -16,13 +16,10 @@
# limitations under the License.
import argparse
import base64
import csv
import fcntl
import io
import numpy as np
import os
import subprocess
import sys
try:
@ -35,7 +32,31 @@ except ImportError:
pass
def plot(gui, output, plotdata, bins):
def iterm_draw(data):
databuf = data.getbuffer()
datalen = len(databuf)
data = base64.b64encode(databuf).decode('utf8')
sys.stdout.write(
'\x1b]1337;File=inline=1;size={}:'.format(datalen))
sys.stdout.write(data)
sys.stdout.write('\a')
sys.stdout.write('\n')
sys.stdout.flush()
def kitty_draw(data):
data = base64.b64encode(data.getbuffer())
while data:
chunk, data = data[:4096], data[4096:]
m = 1 if data else 0
sys.stdout.write('\x1b_Ga=T,f=100,m={};'.format(m))
sys.stdout.write(chunk.decode('utf8'))
sys.stdout.write('\x1b\\')
sys.stdout.flush()
sys.stdout.write('\n')
def plot(gui, output, plotdata, bins, fmt):
import matplotlib as mpl
if gui and mpl.get_backend() == 'agg':
sys.stderr.write('Error: No GUI backend available and -g specified!\n')
@ -51,8 +72,13 @@ def plot(gui, output, plotdata, bins):
tdata = io.BytesIO()
plt.savefig(tdata)
if not gui and not output:
writer = DumbWriter()
writer.draw(tdata)
if fmt == 'sixel':
writer = DumbWriter()
writer.draw(tdata)
elif fmt == 'kitty':
kitty_draw(tdata)
elif fmt == 'iterm':
iterm_draw(tdata)
return n, bins
def textplot(plotdata, bins):
@ -81,7 +107,8 @@ histogram = False
aparser = argparse.ArgumentParser(description='Quick access to common statistics')
aparser.add_argument('-c', type=int, default=0, help='Column number to analyze (default is last column)')
aparser.add_argument('-d', default=None, help='Value used to separate columns')
aparser.add_argument('-x', default=False, action='store_true', help='Output histogram in sixel format')
aparser.add_argument('-x', default=False, action='store_true', help='Output histogram in graphical format')
aparser.add_argument('-f', default='sixel', help='Format for histogram output (sixel/iterm/kitty)')
aparser.add_argument('-s', default=0, help='Number of header lines to skip before processing')
aparser.add_argument('-g', default=False, action='store_true', help='Open histogram in separate graphical window')
aparser.add_argument('-o', default=None, help='Output histogram to the specified filename in PNG format')
@ -138,7 +165,7 @@ while data:
data = list(csv.reader([data], delimiter=delimiter))[0]
n = None
if args.g or args.o or args.x:
n, bins = plot(args.g, args.o, plotdata, bins=args.b)
n, bins = plot(args.g, args.o, plotdata, bins=args.b, fmt=args.f)
if args.t:
n, bins = textplot(plotdata, bins=args.b)
print('Samples: {5} Min: {3} Median: {0} Mean: {1} Max: {4} StandardDeviation: {2} Sum: {6}'.format(np.median(plotdata), np.mean(plotdata), np.std(plotdata), np.min(plotdata), np.max(plotdata), len(plotdata), np.sum(plotdata)))