#!/usr/bin/env python
"""
Usage:
    plot_threadpool.py [options] input.dat output.png

where input.dat is a threadpool info file for a step.  Use the '-Y interval'
flag of the swift command to create these. The output plot will be called
'output.png'. The --limit option can be used to produce plots with the same
time span and the --expand option to expand each thread line into '*expand'
lines, so that adjacent tasks of the same type can be distinguished. Other
options can be seen using the --help flag.

This file is part of SWIFT.
Copyright (c) 2015 Pedro Gonnet (pedro.gonnet@durham.ac.uk),
                   Bert Vandenbroucke (bert.vandenbroucke@ugent.be)
                   Matthieu Schaller (matthieu.schaller@durham.ac.uk)
          (c) 2017 Peter W. Draper (p.w.draper@durham.ac.uk)

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program 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 General Public License for more details.

You should have received a copy of the GNU Lesser General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.
"""

import matplotlib
matplotlib.use("Agg")
import matplotlib.collections as collections
import matplotlib.ticker as plticker
import pylab as pl
import sys
import argparse

#  Handle the command line.
parser = argparse.ArgumentParser(description="Plot threadpool function graphs")

parser.add_argument("input", help="Threadpool data file (-Y output)")
parser.add_argument("outpng", help="Name for output graphic file (PNG)")
parser.add_argument("-l", "--limit", dest="limit",
                    help="Upper time limit in millisecs (def: depends on data)",
                    default=0, type=float)
parser.add_argument("-e", "--expand", dest="expand",
                    help="Thread expansion factor (def: 1)",
                    default=1, type=int)
parser.add_argument("--height", dest="height",
                    help="Height of plot in inches (def: 4)",
                    default=4., type=float)
parser.add_argument("--width", dest="width",
                    help="Width of plot in inches (def: 16)",
                    default=16., type=float)
parser.add_argument("--nolegend", dest="nolegend",
                    help="Whether to show the legend (def: False)",
                    default=False, action="store_true")
parser.add_argument("-v", "--verbose", dest="verbose",
                    help="Show colour assignments and other details (def: False)",
                    default=False, action="store_true")
parser.add_argument("-m", "--mintic", dest="mintic",
                    help="Value of the smallest tic (def: least in input file)",
                    default=-1, type=int)

args = parser.parse_args()
infile = args.input
outpng = args.outpng
delta_t = args.limit
expand = args.expand
mintic = args.mintic

#  Basic plot configuration.
PLOT_PARAMS = {"axes.labelsize": 10,
               "axes.titlesize": 10,
               "font.size": 12,
               "legend.fontsize": 12,
               "xtick.labelsize": 10,
               "ytick.labelsize": 10,
               "figure.figsize" : (args.width, args.height),
               "figure.subplot.left" : 0.03,
               "figure.subplot.right" : 0.995,
               "figure.subplot.bottom" : 0.09,
               "figure.subplot.top" : 0.99,
               "figure.subplot.wspace" : 0.,
               "figure.subplot.hspace" : 0.,
               "lines.markersize" : 6,
               "lines.linewidth" : 3.
               }
pl.rcParams.update(PLOT_PARAMS)

#  A number of colours for the various types. Recycled when there are
#  more task types than colours...
colours = ["cyan", "lightgray", "darkblue", "yellow", "tan", "dodgerblue",
           "sienna", "aquamarine", "bisque", "blue", "green", "lightgreen",
           "brown", "purple", "moccasin", "olivedrab", "chartreuse",
           "darksage", "darkgreen", "green", "mediumseagreen",
           "mediumaquamarine", "darkslategrey", "mediumturquoise",
           "black", "cadetblue", "skyblue", "red", "slategray", "gold",
           "slateblue", "blueviolet", "mediumorchid", "firebrick",
           "magenta", "hotpink", "pink", "orange", "lightgreen"]
maxcolours = len(colours)

#  Read header. First two lines.
with open(infile) as infid:
    head = [next(infid) for x in xrange(2)]
header = head[1][2:].strip()
header = eval(header)
nthread = int(header['num_threads']) + 1
CPU_CLOCK = float(header['cpufreq']) / 1000.0
print "Number of threads: ", nthread
if args.verbose:
    print "CPU frequency:", CPU_CLOCK * 1000.0

#  Read input.
data = pl.genfromtxt(infile, dtype=None, delimiter=" ")

#  Mixed types, so need to separate.
tics = []
tocs = []
funcs = []
threads = []
chunks = []
for i in data:
    if i[0] != "#":
        funcs.append(i[0].replace("_mapper", ""))
        if i[1] < 0:
            threads.append(nthread-1)
        else:
            threads.append(i[1])
        chunks.append(i[2])
        tics.append(i[3])
        tocs.append(i[4])
tics = pl.array(tics)
tocs = pl.array(tocs)
funcs = pl.array(funcs)
threads = pl.array(threads)
chunks = pl.array(chunks)

#  Recover the start and end time
mintic_step = min(tics)
tic_step = mintic_step
toc_step = max(tocs)
print "# Min tic = ", mintic_step
if mintic > 0:
    tic_step = mintic

#  Calculate the time range, if not given.
delta_t = delta_t * CPU_CLOCK
if delta_t == 0:
    dt = toc_step - tic_step
    if dt > delta_t:
        delta_t = dt
    print "Data range: ", delta_t / CPU_CLOCK, "ms"

#  Once more doing the real gather and plots this time.
start_t = float(tic_step)
tics -= tic_step
tocs -= tic_step
end_t = (toc_step - start_t) / CPU_CLOCK

#  Get all "task" names and assign colours.
TASKTYPES = pl.unique(funcs)
print TASKTYPES

#  Set colours of task/subtype.
TASKCOLOURS = {}
ncolours = 0
for task in TASKTYPES:
    TASKCOLOURS[task] = colours[ncolours]
    ncolours = (ncolours + 1) % maxcolours

#  For fiddling with colours...
if args.verbose:
    print "#Selected colours:"
    for task in sorted(TASKCOLOURS.keys()):
        print "# " + task + ": " + TASKCOLOURS[task]
    for task in sorted(SUBCOLOURS.keys()):
        print "# " + task + ": " + SUBCOLOURS[task]

tasks = {}
tasks[-1] = []
for i in range(nthread*expand):
    tasks[i] = []

#  Counters for each thread when expanding.
ecounter = []
for i in range(nthread):
    ecounter.append(0)

for i in range(len(threads)):
    thread = threads[i]

    # Expand to cover extra lines if expanding.
    ethread = thread * expand + (ecounter[thread] % expand)
    ecounter[thread] = ecounter[thread] + 1
    thread = ethread

    tasks[thread].append({})
    tasks[thread][-1]["type"] = funcs[i]
    tic = tics[i] / CPU_CLOCK
    toc = tocs[i] / CPU_CLOCK
    tasks[thread][-1]["tic"] = tic
    tasks[thread][-1]["toc"] = toc
    tasks[thread][-1]["colour"] = TASKCOLOURS[funcs[i]]

# Use expanded threads from now on.
nthread = nthread * expand

typesseen = []
fig = pl.figure()
ax = fig.add_subplot(1,1,1)
ax.set_xlim(-delta_t * 0.01 / CPU_CLOCK, delta_t * 1.01 / CPU_CLOCK)
ax.set_ylim(0, nthread)

# Fake thread is used to colour the whole range, do that first.
tictocs = []
colours = []
j = 0
for task in tasks[nthread - expand]:
    tictocs.append((task["tic"], task["toc"] - task["tic"]))
    colours.append(task["colour"])
ax.broken_barh(tictocs, [0,(nthread-1)], facecolors = colours, linewidth=0, alpha=0.15)

# And we don't plot the fake thread.
nthread = nthread - expand
for i in range(nthread):

    #  Collect ranges and colours into arrays.
    tictocs = []
    colours = []
    j = 0
    for task in tasks[i]:
        tictocs.append((task["tic"], task["toc"] - task["tic"]))
        colours.append(task["colour"])

        #  Legend support, collections don't add to this.
        qtask = task["type"]
        if qtask not in typesseen:
            pl.plot([], [], color=task["colour"], label=qtask)
            typesseen.append(qtask)

    #  Now plot.
    ax.broken_barh(tictocs, [i+0.05,0.90], facecolors = colours, linewidth=0)

#  Legend and room for it.
nrow = len(typesseen) / 5
if not args.nolegend:
    ax.fill_between([0, 0], nthread+0.5, nthread + nrow + 0.5, facecolor="white")
    ax.set_ylim(0, nthread + 0.5)
    ax.legend(loc=1, shadow=True, bbox_to_anchor=(0., 1.05 ,1., 0.2), mode="expand", ncol=5)
    box = ax.get_position()
    ax.set_position([box.x0, box.y0, box.width, box.height*0.8])
    
# Start and end of time-step
real_start_t = (mintic_step - tic_step)/ CPU_CLOCK
ax.plot([real_start_t, real_start_t], [0, nthread + nrow + 1], 'k--', linewidth=1)

ax.plot([end_t, end_t], [0, nthread + nrow + 1], 'k--', linewidth=1)

ax.set_xlabel("Wall clock time [ms]", labelpad=0.)
if expand == 1:
    ax.set_ylabel("Thread ID", labelpad=0 )
else:
    ax.set_ylabel("Thread ID * " + str(expand), labelpad=0 )
ax.set_yticks(pl.array(range(nthread)), True)

loc = plticker.MultipleLocator(base=expand)
ax.yaxis.set_major_locator(loc)
ax.grid(True, which='major', axis="y", linestyle="-")

pl.show()
pl.savefig(outpng)
print "Graphics done, output written to", outpng

sys.exit(0)