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plot.py
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plot.py
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"""
Plot module to generate figure from the log of the application and worker's logs.
This module can generate two type of figure: Overview, Worker. The Overview figure is the overview
of the all application with the aggregated cpu metrics from the workers. The Worker figure is the
detail of the execution of one worker in which each stage as its real progress and estimated progress
including the allocation of cpu.
"""
import glob
import json
import math
import os
import shutil
from datetime import datetime as dt, timedelta
from pathlib import Path
from sys import platform
import matplotlib
import matplotlib.pyplot as plt
plt.switch_backend('agg') # Added to avoid RuntimeError('Invalid DISPLAY variable') when run on linux server
import matplotlib.ticker as plt_ticker
from log import load_app_data, load_worker_data
from util.utils import timing
Y_TICK_AGG = 40
Y_TICK_SORT = 40
Y_LABEL = 'Core [#]'
Y1_LABEL = 'App Progress [%]'
Y2_LABEL = 'Stage Progress [%]'
X_LABEL = 'Time [s]'
TITLE = False
PLOT_SID_STAGE = 0
PLOT_LABEL = True
LABEL_SIZE = 20
TQ_MICRO = 20
TQ_KMEANS = 9
PDF = 0
PLOT_PARAMETERS = {
'axes.labelsize': LABEL_SIZE, # fontsize for x and y labels (was 10)
'axes.titlesize': 8,
'font.size': LABEL_SIZE, # was 10
'legend.fontsize': 8, # was 10
'xtick.labelsize': LABEL_SIZE,
'ytick.labelsize': LABEL_SIZE,
}
matplotlib.rcParams.update(PLOT_PARAMETERS)
m_script_content = [] # Matlab script holder
charts = {} # JSON dict Charts holder
charts['Charts'] = [] # JSON Charts
#json_charts_folder = "" # JSON Charts
json_charts_filename = "charts.json" # JSON Charts
def load_config(folder):
"""
Load the config from the folder if present otherwise load the config from config.py
:param folder: the folder path where find the config file
:return: the config dictionary
"""
config_file = Path(folder + "config.json")
if config_file.exists():
config = json.load(open(folder + "config.json"))
if len(config) == 0:
from configure import config_instance as c
return c.CONFIG_DICT
else:
return config
else:
from configure import config_instance as c
return c.CONFIG_DICT
def text_plotter_x(x_data, axis, labels):
"""
Plot all the label on the axis and adjust y to avoid label overlapping
:param x_data: the list of x point
:param axis: the axis on which plot the label text
:param labels: the list of label to plot
:return: dict of Labels, corresponding Y Points and Label Font Size - introduced with JSON Charts
"""
# label_dict = { "Label" : [], "LabelX" : [], "LabelY" : [], "LabelSize" : LABEL_SIZE - 8} # JSON Charts
label_dict = {} # JSON Charts
for i, (x_point, label) in enumerate(zip(x_data, labels)):
if len(x_data) > 3:
y_point = 102 if (i % 2) == 1 else 110
else:
y_point = 102
axis.text(x_point, y_point, label, rotation=0, horizontalalignment='center',
size=LABEL_SIZE)
y_point = 108 if y_point == 110 else 102 # Matlab - avoid label crop with default view settings
m_script_content.append("text("+str(x_point)+", "+str(y_point)+", '"+label+"','FontSize', "+str(LABEL_SIZE - 8)+\
" ,'Rotation', 0, 'HorizontalAlignment', 'center')") # Matlab - reduce fontsize to avoid label crop
label_dict[label] = {} # JSON Charts
label_dict[label]["X"] = x_point # JSON Charts
label_dict[label]["Y"] = y_point # JSON Charts
return label_dict
def plot_worker(app_id, app_info, worker_log, worker_dict, config, first_ts_worker):
"""
Plot the progress of each stage in the worker with the controller's data
:param app_id: the id of the application
:param app_info: the dictionary with the application's data
:param worker_log: the path of the worker's log file
:param worker_dict: the dictionary with the worker's data
:param config: the dictionary of the config file
:param first_ts_worker: the first start ts of PLOT_SID_STAGE
:return: nothing; save the figure in the output folder
"""
fig, ax1 = plt.subplots(figsize=(16, 5), dpi=300)
times = []
cpus = []
label_to_plot = []
ts_to_plot = []
print("in plot_worker ")
sorted_sid = sorted(app_info[app_id])
m_script_name = [] # Matlab script filename holder
# m_script_content = [] # Matlab script file holder
chart = {} # JSON Charts
with open('chart_templates.json', 'r') as file: # JSON Charts
chart = json.load(file)['Chart'] # JSON Charts
m_script_content.append("fig=figure;") # Matlab
m_script_content.append("hax=axes;") # Matlab
m_script_content.append("set(hax,'YLim',[0 100]);") # Matlab
chart["YAxis"]["L"]["Limits"]["Lower"] = 0 # JSON Charts
chart["YAxis"]["L"]["Limits"]["Upper"] = 100 # JSON Charts
m_script_content.append("hold on;") # Matlab
m_script_content.append("Grey=[0.5 0.5 0.5];") # Matlab
m_script_content.append("CornflowerBlue=[0.3906 0.5820 0.9258];") # Matlab
m_script_content.append("LightSteelBlue=[0.6875 0.7656 0.8672];") # Matlab
xy1_dat_name = [] # Matlab x1-y1 axis data filename holder
xy1_dat_content = [] # Matlab x1-y1 axis data holder
xy2_dat_name = [] # Matlab x2-y2 axis data filename holder
xy2_dat_content = [] # Matlab x2-y2 axis data holder
if config["HDFS"]:
sorted_sid.remove(0)
for sid in sorted_sid:
try:
start_ts = app_info[app_id][sid]["start"].timestamp() - first_ts_worker
#start_ts_acc += start_ts # JSON Charts
# ax1.axvline(start_ts, ymin=0.0, ymax=1.1, color="green", zorder=100)
# try:
# label_to_plot[tq_ts].append("S" + str(sid))
# except KeyError:
# label_to_plot[tq_ts] = []
# label_to_plot[tq_ts].append("S" + str(sid))
# ax1.text(start_ts, 105, "S" + str(sid), style="italic", weight="bold",
# horizontalalignment='center')
end_ts = app_info[app_id][sid]["end"].timestamp() - first_ts_worker
#end_ts_acc += end_ts # JSON Charts
ax1.axvline(end_ts, color="green")
# m_script_content.append("hold on;") # Matlab
m_script_content.append("vl_end=line(["+str(end_ts)+" "+str(end_ts)+"], get(hax,'YLim'), 'color', 'green');") # Matlab
label_to_plot.append("E" + str(sid))
#end_label_acc.append("E" + str(sid)) # JSON Charts
ts_to_plot.append(end_ts)
chart["Stages"][sid] = {} # JSON Charts
chart["Stages"][sid]["StartTimestamp"] = start_ts # JSON Charts
chart["Stages"][sid]["EndTimestamp"] = end_ts # JSON Charts
chart["Stages"][sid]["EndLabel"] = "E" + str(sid) # JSON Charts
chart["Stages"][sid]["StartLabel"] = "S" + str(sid) # JSON Charts
chart["Stages"][sid]["VLines"] = {} # JSON Charts
chart["Stages"][sid]["VLines"]["S" + str(sid)] = {} # JSON Charts
chart["Stages"][sid]["VLines"]["S" + str(sid)]["X"] = start_ts # JSON Charts
chart["Stages"][sid]["VLines"]["S" + str(sid)]["Type"] = "Start" # JSON Charts
chart["Stages"][sid]["VLines"]["S" + str(sid)]["Color"] = "blue" # JSON Charts
chart["Stages"][sid]["VLines"]["S" + str(sid)]["Line"] = "-" # JSON Charts
chart["Stages"][sid]["Labels"] = {} # JSON Charts
chart["Stages"][sid]["Labels"]["S" + str(sid)] = {} # JSON Charts
chart["Stages"][sid]["Labels"]["S" + str(sid)]["X"] = start_ts # JSON Charts
chart["Stages"][sid]["Labels"]["S" + str(sid)]["Y"] = 105 # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)] = {} # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)]["X"] = end_ts # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)]["Type"] = "End" # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)]["Color"] = "green" # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)]["Line"] = "-" # JSON Charts
chart["Stages"][sid]["Labels"]["E" + str(sid)] = {} # JSON Charts
chart["Stages"][sid]["Labels"]["E" + str(sid)]["X"] = end_ts # JSON Charts
chart["Stages"][sid]["Labels"]["E" + str(sid)]["Y"] = 102 # JSON Charts
chart["VLines"]["S" + str(sid)] = chart["Stages"][sid]["VLines"]["S" + str(sid)] # JSON Charts
chart["VLines"]["E" + str(sid)] = chart["Stages"][sid]["VLines"]["E" + str(sid)] # JSON Charts
chart["Labels"]["S" + str(sid)] = {} # JSON Charts
chart["Labels"]["S" + str(sid)] = chart["Stages"][sid]["Labels"]["S" + str(sid)] # JSON Charts
chart["Labels"]["E" + str(sid)] = {} # JSON Charts
chart["Labels"]["E" + str(sid)] = chart["Stages"][sid]["Labels"]["E" + str(sid)] # JSON Charts
# chart["VLines"].append({"Label" : "E" + str(sid), "X" : end_ts, "Color" : "green", "Line" : "-"}) # JSON Charts
# m_script_content.append("text(["+str(end_ts)+" "+str(end_ts)+"], get(hax,'YLim'), "+"\'E" + str(sid)+"\');") # Matlab
# ax1.text(end_ts, -0.035, "E"+str(sid), style="italic", weight="bold",
# horizontalalignment='center')
dead_ts = app_info[app_id][sid]["deadline"].timestamp() - first_ts_worker
#dead_ts_acc += dead_ts
#dead_label_acc.append("D" + str(sid)) # JSON Charts
ax1.axvline(dead_ts, color="red", linestyle='--')
m_script_content.append("vl_dead=line(["+str(dead_ts)+" "+str(dead_ts)+"], get(hax,'YLim'), 'color', 'red', 'LineStyle', '--');") # Matlabchart["Stages"][sid]["StartTimestamp"] = start_ts # JSON Charts
chart["Stages"][sid]["DeadlineTimestamp"] = dead_ts # JSON Charts
chart["Stages"][sid]["DeadlineLabel"] = "D" + str(sid) # JSON Charts
chart["Stages"][sid]["VLines"]["D" + str(sid)] = {} # JSON Charts
chart["Stages"][sid]["VLines"]["D" + str(sid)]["X"] = dead_ts # JSON Charts
chart["Stages"][sid]["VLines"]["D" + str(sid)]["Type"] = "Deadline" # JSON Charts
chart["Stages"][sid]["VLines"]["D" + str(sid)]["Color"] = "red" # JSON Charts
chart["Stages"][sid]["VLines"]["D" + str(sid)]["Line"] = "--" # JSON Charts
chart["Stages"][sid]["Labels"]["D" + str(sid)] = {} # JSON Charts
chart["Stages"][sid]["Labels"]["D" + str(sid)]["X"] = dead_ts # JSON Charts
chart["Stages"][sid]["Labels"]["D" + str(sid)]["Y"] = 108 # JSON Charts
chart["VLines"]["D" + str(sid)] = chart["Stages"][sid]["VLines"]["D" + str(sid)] # JSON Charts
chart["Labels"]["D" + str(sid)] = {} # JSON Charts
chart["Labels"]["D" + str(sid)] = chart["Stages"][sid]["Labels"]["D" + str(sid)] # JSON Charts
# chart["VLines"].append({"X" : dead_ts, "Color" : "red", "Line" : "--"}) # JSON Charts
# try:
# label_to_plot[tq_ts].append("D" + str(sid))
# except KeyError:
# label_to_plot[tq_ts] = []
# label_to_plot[tq_ts].append("D" + str(sid))
# ax1.text(dead_ts, 101, "D" + str(sid), style="italic", weight="bold",
# horizontalalignment='center')
time_sp = [t.timestamp() - first_ts_worker for t in worker_dict[app_id][sid]["time"]]
time_sp_real = [t.timestamp() - first_ts_worker for t in
worker_dict[app_id][sid]["time"]]
sp_real = [y * 100 for y in worker_dict[app_id][sid]["sp_real"]]
set_points_progress = [x * 100 for x in worker_dict[app_id][sid]["sp"]]
if set_points_progress[-1] < 100.0:
time_sp.append(dead_ts)
set_points_progress.append(100.0)
if sp_real[-1] < 100.0:
next_time = time_sp_real[-1] + (int(config["Control"]["TSample"]) / 1000)
if next_time <= end_ts:
time_sp_real.append(next_time)
sp_real.append(100.0)
else:
time_sp_real.append(end_ts)
sp_real.append(100.0)
ax1.plot(time_sp, set_points_progress, "gray", label='PROGRESS', linewidth=2)
#time_sp_acc += time_sp # JSON Charts
#set_points_progress_acc += set_points_progress # JSON Charts
time_sp_csv = " ".join(map(str, time_sp)) #Matlab
set_points_progress_csv = " ".join(map(str, set_points_progress)) #Matlab
m_script_content.append("plot(["+time_sp_csv+"], ["+set_points_progress_csv+"], 'color', Grey, 'LineWidth', 2);") #Matlab - no line label added
# time_sp_json = ",".join(map(str, time_sp)) #Matlab
# set_points_progress_json = ",".join(map(str, set_points_progress)) #Matlab
chart["Stages"][sid]["Timestamps"] = time_sp # JSON Charts
chart["Stages"][sid]["Progress"] = set_points_progress # JSON Charts
ax1.plot(time_sp_real, sp_real, "black", label='PROGRESS REAL', linewidth=2)
#time_sp_real_acc += time_sp_real # JSON Charts
#sp_real_acc += sp_real # JSON Charts
time_sp_real_csv = " ".join(map(str, time_sp_real)) #Matlab
sp_real_csv = " ".join(map(str, sp_real)) #Matlab
m_script_content.append("plot(["+time_sp_real_csv+"], ["+sp_real_csv+"], 'color', 'black', 'LineWidth', 2);") #Matlab - no line label added
# time_sp_real_json = ",".join(map(str, time_sp_real)) #Matlab
# sp_real_json = ",".join(map(str, sp_real)) #Matlab
chart["Stages"][sid]["TimestampsReal"] = time_sp_real # JSON Charts
chart["Stages"][sid]["ProgressReal"] = sp_real # JSON Charts
chart["Timestamps"] += time_sp # JSON Charts
chart["TimestampsReal"] += time_sp_real # JSON Charts
chart["Progress"] += set_points_progress # JSON Charts
chart["ProgressReal"] += sp_real # JSON Charts
chart["StartTimestamps"] += [start_ts] # JSON Charts
chart["EndTimestamps"] += [end_ts] # JSON Charts
chart["DeadlineTimestamps"] += [dead_ts] # JSON Charts
chart["StartLabels"] += ["S" + str(sid)] # JSON Charts
chart["EndLabels"] += ["E" + str(sid)] # JSON Charts
chart["DeadlineLabels"] += ["D" + str(sid)] # JSON Charts
except KeyError as error:
print("SID " + str(sid) + " not executed by " + worker_log)
if PLOT_LABEL:
text_plotter_x(ts_to_plot, ax1, label_to_plot)
#chart["Labels"] = text_plotter_x(ts_to_plot, ax1, label_to_plot)
ax1.set_xlabel(X_LABEL)
m_script_content.append("xlabel('"+X_LABEL+"');") #Matlab
chart["XAxis"]["B"]["Label"] = X_LABEL # JSON Charts
ax1.set_ylabel(Y2_LABEL)
m_script_content.append("yyaxis left") #Matlab
m_script_content.append("ylabel('"+Y2_LABEL+"');") #Matlab
chart["YAxis"]["L"]["Label"] = Y2_LABEL # JSON Charts
ax1.spines["top"].set_visible(False)
#Matlab - apparently no spines by default
ax1.spines["right"].set_visible(False)
#Matlab - apparently no spines by default
ax1.get_xaxis().tick_bottom()
m_script_content.append("XTicksVisible = true;") #Matlab
ax1.get_yaxis().tick_left()
m_script_content.append("YTicksVisible = true;") #Matlab
xlim = ax1.get_xlim()
ax1.set_xlim(0.0, xlim[1])
#Matlab - should be already set. however set it to override default anyway
m_script_content.append("xl=get(hax,'XLim');") #Matlab
m_script_content.append("xmin=xl(1,1);") #Matlab
m_script_content.append("xmax=xl(1,2);") #Matlab
m_script_content.append("set(hax,'XLim',[0 xmax]);") #Matlab
chart["XAxis"]["B"]["Limits"]["Lower"] = 0 # JSON Charts
chart["XAxis"]["B"]["Limits"]["Upper"] = xlim[1] # JSON Charts
ax1.set_ylim(0.0, 100.0)
#Matlab - should be already set. however set it to override default anyway
m_script_content.append("set(hax,'YLim',[0 100]);") # Matlab
chart["YAxis"]["L"]["Limits"]["Lower"] = 0 # JSON Charts
chart["YAxis"]["L"]["Limits"]["Upper"] = 100 # JSON Charts
folder_split = worker_log.split("/")
name = folder_split[-3].lower() + "-worker-" + folder_split[-2].replace("%", "") + "-" + \
folder_split[-1].split("-")[-1].replace(".out", "")
if "agg" in name:
ax1.xaxis.set_major_locator(plt_ticker.MultipleLocator(base=Y_TICK_AGG))
m_script_content.append("XTick = 0:"+Y_TICK_AGG+":xmax;") #Matlab
m_script_content.append("xticks(XTick);") #Matlab
chart["XAxis"]["B"]["TickBase"] = Y_TICK_AGG # JSON Charts
elif "sort" in name:
ax1.xaxis.set_major_locator(plt_ticker.MultipleLocator(base=Y_TICK_SORT))
m_script_content.append("XTick = 0:"+Y_TICK_SORT+":xmax;") #Matlab
m_script_content.append("xticks(XTick);") #Matlab
chart["XAxis"]["B"]["TickBase"] = Y_TICK_SORT # JSON Charts
ax1.yaxis.set_major_locator(plt_ticker.MultipleLocator(base=10.0))
m_script_content.append("YTick = 0:10:100;") #Matlab
m_script_content.append("yticks(YTick);") #Matlab
chart["YAxis"]["L"]["TickBase"] = 10.0 # JSON Charts
ax2 = ax1.twinx()
m_script_content.append("yyaxis right;") #Matlab
for sid in sorted_sid:
try:
times_stage = [] # JSON Charts
cpus_stage = [] # JSON Charts
time = [t.timestamp() - first_ts_worker for t in worker_dict[app_id][sid]["time"]]
times += time
times_stage += time # JSON Charts
cpus += worker_dict[app_id][sid]["cpu"]
cpus_stage += worker_dict[app_id][sid]["cpu"] # JSON Charts
start_ts = app_info[app_id][sid]["start"].timestamp() - first_ts_worker
times.insert(0, start_ts)
times_stage.insert(0, start_ts) # JSON Charts
cpus.insert(0, 0.01)
cpus_stage.insert(0, 0.01) # JSON Charts
end_ts = app_info[app_id][sid]["end"].timestamp() - first_ts_worker
dead_ts = app_info[app_id][sid]["deadline"].timestamp() - first_ts_worker
next_time = time[-1] + (int(config["Control"]["TSample"]) / 1000)
index_next = min(sorted(app_info[app_id]).index(sid) + 1, len(app_info[app_id]) - 1)
next_start_ts = app_info[app_id][sorted(app_info[app_id])[index_next]][
"start"].timestamp() - first_ts_worker
if end_ts < dead_ts and end_ts < next_time:
times.append(end_ts - 0.01)
times_stage.append(end_ts - 0.01) # JSON Charts
cpus.append(cpus[-1])
cpus_stage.append(cpus[-1]) # JSON Charts
if end_ts + 0.01 < next_start_ts:
times.append(end_ts + 0.01)
times_stage.append(end_ts + 0.01) # JSON Charts
else:
times.append(end_ts)
times_stage.append(end_ts) # JSON Charts
cpus.append(0.01)
cpus_stage.append(0.01) # JSON Charts
elif next_time <= end_ts:
times.append(next_time - 0.02)
times_stage.append(next_time - 0.02) # JSON Charts
cpus.append(cpus[-1])
cpus_stage.append(cpus[-1]) # JSON Charts
times.append(next_time - 0.01)
times_stage.append(next_time - 0.01) # JSON Charts
cpus.append(0.01)
cpus_stage.append(0.01) # JSON Charts
if end_ts + 0.01 < next_start_ts:
times.append(end_ts + 0.01)
times_stage.append(end_ts + 0.01) # JSON Charts
cpus.append(0.01)
cpus_stage.append(0.01) # JSON Charts
else:
times.append(end_ts)
times_stage.append(end_ts) # JSON Charts
cpus.append(0.01)
cpus_stage.append(0.01) # JSON Charts
# index_next = min(sorted(app_info[app_id]).index(sid) + 1, len(app_info[app_id]) - 1)
# times.append(
# app_info[app_id][sorted(app_info[app_id])[index_next]][
# "start"].timestamp() - first_ts_worker)
# cpus.append(0.0)
# start_index = worker_dict["time_cpu"].index(worker_dict[app_id][sid]["time"][0])
# end_index = worker_dict["time_cpu"].index(worker_dict[app_id][sid]["time"][-1])
#
# time_cpu = [t.timestamp() - first_ts_worker for t in worker_dict["time_cpu"]
# [start_index:end_index]]
# ax2.plot(time_cpu,
# worker_dict["cpu_real"][start_index:end_index], ".g-",
# label='CPU REAL')
times_stage, cpus_stage = (list(t) for t in zip(*sorted(zip(times_stage, cpus_stage)))) # JSON Charts
#times_acc += times_stage # JSON Charts
#cpus_acc += cpus_stage # JSON Charts
chart["Stages"][sid]["TimestampsCpu"] = times_stage # JSON Charts
chart["Stages"][sid]["Cpu"] = cpus_stage # JSON Charts
except KeyError:
print("SID " + str(sid) + " not executed by " + worker_log)
times, cpus = (list(t) for t in zip(*sorted(zip(times, cpus))))
# [print(t, c) for t, c in zip(times, cpus)]
ax2.plot(times, cpus, ".b-", label='CPU')
times_csv = " ".join(map(str, times)) #Matlab
cpus_csv = " ".join(map(str, cpus)) #Matlab
m_script_content.append("cpuline=plot(["+times_csv+"], ["+cpus_csv+"], '.-', 'color', 'blue', 'LineWidth', 2, 'MarkerEdgeColor', 'blue', 'MarkerFaceColor', 'blue','MarkerSize', 12);") #Matlab
chart["TimestampsCpu"] += times # JSON Charts
chart["Cpu"] += cpus # JSON Charts
# times_json = ",".join(map(str, times)) #Matlab
# cpus_json = ",".join(map(str, cpus)) #Matlab
ax2.fill_between(times, 0.0, cpus, facecolor="b", alpha=0.2)
m_script_content.append("xd=get(cpuline,'xdata');") #Matlab
m_script_content.append("yd=get(cpuline,'ydata');") #Matlab
m_script_content.append("a=area(xd, yd);") #Matlab
m_script_content.append("set(a, 'FaceAlpha',0.5,'FaceColor', LightSteelBlue);") #Matlab
# handles_ax1, labels_ax1 = ax1.get_legend_handles_labels()
# handles_ax2, labels_ax2 = ax2.get_legend_handles_labels()
# handles = handles_ax1[:2] + handles_ax2[:2]
# labels = labels_ax1[:2] + labels_ax2[:2]
# plt.legend(handles, labels, loc='best', prop={'size': 6})
ax2.set_ylabel(Y_LABEL)
m_script_content.append("set(hax.YAxis, 'color', 'black');") #Matlab
m_script_content.append("ylabel('"+Y_LABEL+"', 'color', 'black');") #Matlab
chart["YAxis"]["R"]["Label"] = Y_LABEL # JSON Charts
ax2.set_ylim(0, config["Control"]["CoreVM"])
ymc = config["Control"]["CoreVM"] #Matlab - # of VM cores
m_script_content.append("set(hax,'YLim',[0 "+str(ymc)+"]);") #Matlab
chart["YAxis"]["R"]["Limits"]["Lower"] = 0 # JSON Charts
chart["YAxis"]["R"]["Limits"]["Upper"] = ymc # JSON Charts
xlim = ax2.get_xlim()
ax2.set_xlim(0.0, xlim[1])
m_script_content.append("xl=get(hax,'XLim');") #Matlab
m_script_content.append("xmin=xl(1,1);") #Matlab
m_script_content.append("xmax=xl(1,2);") #Matlab
m_script_content.append("set(hax,'XLim',[0 xmax]);") #Matlab
chart["XAxis"]["B"]["Limits"]["Lower"] = 0 # JSON Charts
chart["XAxis"]["B"]["Limits"]["Upper"] = xlim[1] # JSON Charts
# labels = ax1.get_xticklabels()
# plt.setp(labels, rotation=90, fontsize=10)
ax2.yaxis.set_major_locator(plt_ticker.MultipleLocator(base=1.0))
m_script_content.append("YTick = 0:1.0:"+str(ymc)+";") #Matlab
m_script_content.append("yticks(YTick);") #Matlab
chart["YAxis"]["R"]["TickBase"] = 1.0 # JSON Charts
# locator = mpdate.SecondLocator(interval=SECONDLOCATOR)
# plt.gca().xaxis.set_major_locator(locator)
# plt.gca().xaxis.set_major_formatter(mpdate.DateFormatter(STRPTIME_FORMAT))
# plt.gcf().autofmt_xdate()
if TITLE:
title = app_id + " " + str(config["Deadline"]) + " " + str(config["Control"]["TSample"]) + \
" " + str(config["Control"]["Alpha"]) + " " + str(config["Control"]["K"])
plt.title(title)
m_script_content.append("title(hax, '"+title+"');") #Matlab
chart["Title"] = title # JSON Charts
ax1.set_zorder(ax2.get_zorder() + 1)
# Layer = 'top|bottom' #Matlab - limited availability to patch vs. axis z-order?
ax1.patch.set_visible(False)
# tbd equivalent Matlab code #Matlab
folder_split = worker_log.split("/")
#name = folder_split[-3].lower() + "-worker-" + folder_split[-2].replace("%", "") + "-" + \
# folder_split[-1].split("-")[-1].replace(".out", "")
delimiter = "/"
if platform == "win32":
name = folder_split[-3].lower() + "-worker-" + folder_split[-2].replace("%", "") + "-" + \
folder_split[-1].split("-")[-1].replace(".out", "")
delimiter = "\\"
else:
name = folder_split[-4].lower() + "-worker-" + folder_split[-3].replace("%", "") + "-" + \
folder_split[-1].split("-")[-1].replace(".out", "")
folder = "/".join(worker_log.split(delimiter)[:-1])
labels = ax1.get_xticklabels()
plt.setp(labels, rotation=45)
m_script_content.append("set(hax.XAxis, 'TickLabelRotation', 45)") #Matlab
chart["Name"] = name # JSON Charts
charts['Charts'].append(chart) # JSON Charts
print(folder)
if PDF:
plt.savefig(folder + "/" + name + ".pdf", bbox_inches='tight', dpi=300)
suffix="_pdf" #Matlab
else:
plt.savefig(folder + "/" + name + '.png', bbox_inches='tight', dpi=300)
suffix="_png" #Matlab
plt.close()
m_script_name = folder + "/" + name.replace("-", "_") + suffix + ".m" #Matlab doesn't like dashes in filenames
#json_charts_folder = folder + "/"
with open(m_script_name, 'w') as file_handler:
for line in m_script_content:
file_handler.write("{}\n".format(line))
# print("{}\n".format(line))
m_script_content[:] = []
def plot_app_overview(app_id, app_dict, folder, config):
"""
Plot only the application overview without the cpu data from the workers
:param app_id: the id of the application
:param app_dict: the data dictionary of the application
:param folder: the folder where to save the output image
:param config: the config dict of the application
:return: nothing; save the figure in the output folder
"""
m_script_name = [] # Matlab script filename holder
# m_script_content = [] # Matlab script file holder
m_script_content.append("fig=figure;") # Matlab
m_script_content.append("hax=axes;") # Matlab
# m_script_content.append("set(hax,'YLim',[0 100]);") # Matlab
m_script_content.append("hold on;") # Matlab
xy1_dat_name = [] # Matlab x1-y1 axis data filename holder
xy1_dat_content = [] # Matlab x1-y1 axis data holder
xy2_dat_name = [] # Matlab x2-y2 axis data filename holder
xy2_dat_content = [] # Matlab x2-y2 axis data holder
print("Plotting APP Overview")
if len(app_dict) > 0:
timestamps = []
times = []
first_ts = app_dict[PLOT_SID_STAGE]["start"].timestamp()
for sid in sorted(app_dict):
try:
app_deadline = app_dict[PLOT_SID_STAGE]["start"] + timedelta(
milliseconds=config["Deadline"])
app_deadline = app_deadline.replace(microsecond=0)
for timestamp in app_dict[sid]["tasktimestamps"]:
if first_ts == 0:
timestamps.append(0.0)
first_ts = timestamp.timestamp()
else:
timestamps.append(timestamp.timestamp() - first_ts)
if len(times) == 0:
times.append(1)
else:
times.append(times[-1] + 1)
except KeyError as error:
print(error)
fig, ax1 = plt.subplots(figsize=(16, 9), dpi=300)
# PLOT NORMALIZED TASK PROGRESS
min_times = min(times)
max_times = max(times)
normalized = [(z - min_times) / (max_times - min_times) * 100 for z in times]
ax1.plot(timestamps, normalized, ".k-")
timestamps_csv = " ".join(map(str, timestamps)) #Matlab
normalized_csv = " ".join(map(str, normalized)) #Matlab
m_script_content.append("plot(["+timestamps_csv+"], ["+normalized_csv+"], 'color', 'black');") #Matlab
ymin, ymax = ax1.get_ylim()
m_script_content.append("yl=get(hax,'YLim');") #Matlab
m_script_content.append("ymin=yl(1,1);") #Matlab
m_script_content.append("ymax=yl(1,2);") #Matlab
# PLOT DEADLINE
app_dead_ts = app_deadline.timestamp() - first_ts
ax1.axvline(app_dead_ts)
m_script_content.append("vl_dead=line(["+str(app_dead_ts)+" "+str(app_dead_ts)+"], get(hax,'YLim'), 'color', 'black');") # Matlab
ax1.text(app_dead_ts, ymax + 0.5, 'D', weight="bold", horizontalalignment='center')
m_script_content.append("text("+str(app_dead_ts)+", ymax + 0.5, 'D','FontSize', "+str(LABEL_SIZE - 8)+\
" ,'FontWeight', 'bold','Rotation', 0, 'HorizontalAlignment', 'center')") # Matlab - reduce fontsize to avoid label crop
# PLOT ALPHA DEADLINE
app_alpha_deadline = app_deadline - timedelta(
milliseconds=((1 - float(config["Control"]["Alpha"])) * float(config["Deadline"])))
app_alpha_deadline_ts = app_alpha_deadline.timestamp() - first_ts
ax1.axvline(app_alpha_deadline_ts)
m_script_content.append("vl_dead=line(["+str(app_alpha_deadline_ts)+" "+str(app_alpha_deadline_ts)+"], get(hax,'YLim'), 'color', 'black', 'LineStyle', '--');") # Matlab
ax1.text(app_alpha_deadline_ts, ymax + 0.5, 'AD', weight="bold",
horizontalalignment='center')
m_script_content.append("text("+str(app_alpha_deadline_ts)+", ymax + 0.5, 'AD','FontSize', "+str(LABEL_SIZE - 8)+\
" ,'FontWeight', 'bold','Rotation', 0, 'HorizontalAlignment', 'center')") # Matlab - reduce fontsize to avoid label crop
ax1.set_xlabel(X_LABEL)
m_script_content.append("xlabel('"+X_LABEL+"');") #Matlab
ax1.set_ylabel(Y1_LABEL)
m_script_content.append("yyaxis left") #Matlab
m_script_content.append("ylabel('"+Y1_LABEL+"');") #Matlab
# PLOT VERTICAL LINES DEAD, START, END
sorted_sid = sorted(app_dict)
for sid in sorted_sid:
try:
start_ts = app_dict[sid]["start"].timestamp() - first_ts
# ax1.axvline(start_ts, color="black")
# try:
# s_y = normalized[timestamps.index(start_ts)]
# except ValueError:
# s_y = start_ts
# ax1.text(start_ts + 3, s_y - 2, 'S' + str(sid), style="italic",weight="bold",
# horizontalalignment='center')
end = app_dict[sid]["end"].timestamp()
end_ts = end - first_ts
#
ax1.axvline(end_ts, color="green")
m_script_content.append("vl_dead=line(["+str(end_ts)+" "+str(end_ts)+"], get(hax,'YLim'), 'color', 'green');") # Matlab
# try:
# index_t = timestamps.index(end_ts)
# except ValueError:
# index_t = min(range(len(timestamps)), key=lambda i:
# abs(timestamps[i] - end_ts))
# e_y = normalized[index_t]
# ax1.text(end_ts, ymin - 3.5, 'E' + str(sid), style="italic", weight="bold",
# horizontalalignment='center', verticalalignment='bottom')
int_dead = app_dict[sid]["deadline"].timestamp()
dead_ts = int_dead - first_ts
if sid == sorted_sid[-1] and start_ts < app_alpha_deadline_ts:
dead_ts = app_alpha_deadline_ts
# print(dead_ts)
ax1.axvline(dead_ts, color="r", linestyle='--')
m_script_content.append("vl_dead=line(["+str(dead_ts)+" "+str(dead_ts)+"], get(hax,'YLim'), 'color', 'red', 'LineStyle', '--');") # Matlab
except KeyError as error:
print(error)
if TITLE:
plt.title(app_id + " " + str(config["Deadline"]) + " " +
str(config["Control"]["TSample"]) + " " +
str(config["Control"]["Alpha"]) + " " + str(config["Control"]["K"]))
title = app_id + " " + str(config["Deadline"]) + " " + \
str(["Control"]["TSample"]) + " " + \
str(config["Control"]["Alpha"]) + " " + str(config["Control"]["K"])
m_script_content.append("title(hax, '"+title+"');") #Matlab
folder_split = folder.split("/")
name = folder_split[-4].lower() + "-overview-" + folder_split[-3].replace("%", "")
labels = ax1.get_xticklabels()
plt.setp(labels, rotation=45)
m_script_content.append("set(hax.XAxis, 'TickLabelRotation', 45)") #Matlab
if PDF:
plt.savefig(folder + name + ".png", bbox_inches='tight', dpi=300)
suffix="_pdf" #Matlab
else:
plt.savefig(folder + name + ".pdf", bbox_inches='tight', dpi=300)
suffix="_png" #Matlab
plt.close()
m_script_name = folder + "/" + name.replace("-", "_") + suffix + ".m" #Matlab doesn't like dashes in filenames
with open(m_script_name, 'w') as file_handler:
for line in m_script_content:
file_handler.write("{}\n".format(line))
# print("{}\n".format(line))
m_script_content[:] = []
def plot_overview_cpu(app_id, app_info, workers_dict, config, folder):
"""
Function that plot the overview of the application aggregating the cpu data from all
the workers showing the application progress and the division by stage
:param app_id: the id of the application
:param app_info: the data dictionary of the application
:param workers_dict: the data dictionary of the workers
:param config: the dictionary of the config file
:param folder: the folder to output the image
:return: nothing only save the figure at the end in the folder
"""
m_script_name = [] # Matlab script filename holder
# m_script_content = [] # Matlab script file holder
chart = {} # JSON Charts
with open('chart_templates.json', 'r') as file: # JSON Charts
chart = json.load(file)['Chart'] # JSON Charts
m_script_content.append("fig=figure;") # Matlab
m_script_content.append("hax=axes;") # Matlab
m_script_content.append("set(hax,'YLim',[0 100]);") # Matlab
m_script_content.append("CornflowerBlue=[0.3906 0.5820 0.9258];") # Matlab
m_script_content.append("LightSteelBlue=[0.6875 0.7656 0.8672];") # Matlab
m_script_content.append("hold on;") # Matlab
xy1_dat_name = [] # Matlab x1-y1 axis data filename holder
xy1_dat_content = [] # Matlab x1-y1 axis data holder
xy2_dat_name = [] # Matlab x2-y2 axis data filename holder
xy2_dat_content = [] # Matlab x2-y2 axis data holder
chart["YAxis"]["L"]["Limits"]["Lower"] = 0 # JSON Charts
chart["YAxis"]["L"]["Limits"]["Upper"] = 100 # JSON Charts
print("Plotting APP Overview")
if len(app_info[app_id]) > 0:
folder_split = folder.split("/")
name = folder_split[-4].lower() + "-overview-" + folder_split[-3].replace("%", "")
timestamps = [0]
times = [0]
app_deadline = dt.now()
first_ts = app_info[app_id][PLOT_SID_STAGE]["start"].timestamp()
sorted_sid = sorted(app_info[app_id])
if config["HDFS"]:
sorted_sid.remove(0)
for sid in sorted_sid:
try:
app_deadline = app_info[app_id][PLOT_SID_STAGE]["start"] + timedelta(
milliseconds=config["Deadline"])
for timestamp in app_info[app_id][sid]["tasktimestamps"]:
if first_ts == 0:
first_ts = timestamp.timestamp()
else:
timestamps.append(timestamp.timestamp() - first_ts)
times.append(times[-1] + 1)
except KeyError as error:
print(error)
fig, ax1 = plt.subplots(figsize=(16, 5), dpi=300)
# PLOT NORMALIZED TASK PROGRESS
min_times = min(times)
max_times = max(times)
normalized = [(z - min_times) / (max_times - min_times) * 100 for z in times]
timestamps_csv = " ".join(map(str, timestamps)) #Matlab
normalized_csv = " ".join(map(str, normalized)) #Matlab
ax1.plot(timestamps, normalized, "black", linewidth=3, zorder=10)
#Matlab - tbd code equivalent to zorder
m_script_content.append("plot(["+timestamps_csv+"], ["+normalized_csv+"],'color', 'black', 'LineWidth', 3);") #Matlab
# timestamps_json = ",".join(map(str, timestamps)) #Matlab
# normalized_json = ",".join(map(str, normalized)) #Matlab
chart["TimestampsReal"] += timestamps # JSON Charts
chart["ProgressReal"] += normalized # JSON Charts
ymin, ymax = ax1.get_ylim()
ax1.set_ylim(0.0, 100.0)
m_script_content.append("yl=get(hax,'YLim');") #Matlab
m_script_content.append("ymin=yl(1,1);") #Matlab
m_script_content.append("ymax=yl(1,2);") #Matlab
m_script_content.append("set(hax,'YLim',[0 100]);") # Matlab
chart["YAxis"]["L"]["Limits"]["Lower"] = 0 # JSON Charts
chart["YAxis"]["L"]["Limits"]["Upper"] = 100 # JSON Charts
xmin, xmax = ax1.get_xlim()
ax1.set_xlim(0.0, xmax)
m_script_content.append("xl=get(hax,'XLim');") #Matlab
m_script_content.append("xmin=xl(1,1);") #Matlab
m_script_content.append("xmax=xl(1,2);") #Matlab
m_script_content.append("set(hax,'XLim',[0 xmax]);") # Matlab
chart["XAxis"]["B"]["Limits"]["Lower"] = 0 # JSON Charts
chart["XAxis"]["B"]["Limits"]["Upper"] = xmax # JSON Charts
# PLOT DEADLINE
label_to_plot = {}
original_ts = {}
# app_dead_ts = app_deadline.timestamp() - first_ts
#ax1.axvline(app_dead_ts, color="red", linewidth=3)
if "agg" in name or "sort" in name:
time_quantum = TQ_MICRO
else:
time_quantum = TQ_KMEANS
# tq_ts = math.floor(app_dead_ts / TQ) * TQ
# original_ts[tq_ts] = app_dead_ts
# try:
# label_to_plot[tq_ts].append("D")
# except KeyError:
# label_to_plot[tq_ts] = []
# label_to_plot[tq_ts].append("D")
# ax1.text(app_dead_ts, ymax + 0.5, 'D', weight="bold", horizontalalignment='center')
# PLOT ALPHA DEADLINE
app_alpha_deadline = app_deadline - timedelta(
milliseconds=((1 - float(config["Control"]["Alpha"])) * float(config["Deadline"])))
app_alpha_deadline_ts = app_alpha_deadline.timestamp() - first_ts
tq_ts = math.floor(app_alpha_deadline_ts / time_quantum) * time_quantum
original_ts[tq_ts] = app_alpha_deadline_ts
ax1.axvline(app_alpha_deadline_ts, color="red", linewidth=3, zorder=10)
m_script_content.append("vl_dead=line(["+str(app_alpha_deadline_ts)+" "+str(app_alpha_deadline_ts)+"], get(hax,'YLim'), 'color', 'red', 'LineWidth', 3);") # Matlab
chart["VLines"]["D"] = {} # JSON Charts
chart["VLines"]["D"]["X"] = app_alpha_deadline_ts # JSON Charts
chart["VLines"]["D"]["Type"] = "Deadline" # JSON Charts
chart["VLines"]["D"]["Color"] = "red" # JSON Charts
chart["VLines"]["D"]["Line"] = "-" # JSON Charts
# chart["VLines"].append({"X" : app_alpha_deadline_ts, "Color" : "red", "Line" : "-"}) # JSON Charts
chart["Labels"]["D"] = {} # JSON Charts
chart["Labels"]["D"]["X"] = app_alpha_deadline_ts # JSON Charts
chart["Labels"]["D"]["Y"] = 102 # JSON Charts
try:
label_to_plot[tq_ts].append("D")
except KeyError:
label_to_plot[tq_ts] = []
label_to_plot[tq_ts].append("D")
# ax1.text(app_alpha_deadline_ts, ymax + 0.5, 'AD', weight="bold",
# horizontalalignment='center')
ax1.set_xlabel(X_LABEL)
m_script_content.append("xlabel('"+X_LABEL+"');") #Matlab
chart["XAxis"]["B"]["Label"] = X_LABEL # JSON Charts
ax1.set_ylabel(Y1_LABEL)
m_script_content.append("yyaxis left") #Matlab
m_script_content.append("ylabel('"+Y1_LABEL+"');") #Matlab
chart["YAxis"]["L"]["Label"] = Y1_LABEL # JSON Charts
# PLOT VERTICAL LINES DEAD, START, END
for sid in sorted_sid:
try:
# int_dead = app_info[app_id][sid]["deadline"].timestamp()
# dead_ts = int_dead - first_ts
# tq_ts = math.floor(dead_ts / TQ) * TQ
# original_ts[tq_ts] = dead_ts
# if sid == sorted(app_info[app_id])[-1] and dead_ts < app_alpha_deadline_ts:
# original_ts[tq_ts] = app_alpha_deadline_ts
# ax1.axvline(app_alpha_deadline_ts, color="mediumseagreen", linestyle='--')
# else:
# ax1.axvline(dead_ts, color="mediumseagreen", linestyle='--')
# try:
# label_to_plot[tq_ts].append('D' + str(sid))
# except KeyError:
# label_to_plot[tq_ts] = []
# label_to_plot[tq_ts].append('D' + str(sid))
# start_ts = app_info[app_id][sid]["start"].timestamp() - first_ts
# ax1.axvline(start_ts, color="black")
end = app_info[app_id][sid]["end"].timestamp()
end_ts = end - first_ts
tq_ts = math.floor(end_ts / time_quantum) * time_quantum
original_ts[tq_ts] = end_ts
try:
if "D" not in label_to_plot[tq_ts]:
label_to_plot[tq_ts].insert(0, "E" + str(sid))
else:
label_to_plot[tq_ts].append("E" + str(sid))
except KeyError:
label_to_plot[tq_ts] = []
label_to_plot[tq_ts].append("E" + str(sid))
ax1.axvline(end_ts, color="green")
m_script_content.append("vl_dead=line(["+str(end_ts)+" "+str(end_ts)+"], get(hax,'YLim'), 'color', 'green');") # Matlab
chart["Stages"][sid] = {} # JSON Charts
chart["Stages"][sid]["VLines"] = {} # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)] = {} # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)]["X"] = end_ts # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)]["Type"] = "End" # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)]["Color"] = "green" # JSON Charts
chart["Stages"][sid]["VLines"]["E" + str(sid)]["Line"] = "-" # JSON Charts
# chart["VLines"].append({"X" : end_ts, "Color" : "green", "Line" : "-"}) # JSON Charts
chart["Stages"][sid]["Labels"] = {} # JSON Charts
chart["Stages"][sid]["Labels"]["E" + str(sid)] = {} # JSON Charts
chart["Stages"][sid]["Labels"]["E" + str(sid)]["X"] = end_ts # JSON Charts
chart["Stages"][sid]["Labels"]["E" + str(sid)]["Y"] = 102 # JSON Charts
chart["VLines"]["E" + str(sid)] = {}
chart["VLines"]["E" + str(sid)] = chart["Stages"][sid]["VLines"]["E" + str(sid)] # JSON Charts
chart["Labels"]["E" + str(sid)] = {}
chart["Labels"]["E" + str(sid)] = chart["Stages"][sid]["Labels"]["E" + str(sid)] # JSON Charts
except KeyError as error:
print(error)
if PLOT_LABEL:
# Get the corrected text positions, then write the text.
sorted_label_ts = [original_ts[ts] for ts in sorted(label_to_plot)]
# print(text_positions)
text_plotter_x(sorted_label_ts, ax1,
["/".join(reversed(label_to_plot[ts])) for ts in sorted(label_to_plot)])
#chart["Labels"] = text_plotter_x(sorted_label_ts, ax1,
# ["/".join(reversed(label_to_plot[ts])) for ts in sorted(label_to_plot)])
# PLOT AGGREGATED CPU
ax2 = ax1.twinx()
m_script_content.append("yyaxis right;") #Matlab
m_script_content.append("set(hax.YAxis, 'color', 'black');") #Matlab
ax2.set_ylabel(Y_LABEL)
# m_script_content.append("yyaxis right") #Matlab
m_script_content.append("ylabel('"+Y_LABEL+"', 'color', 'black');") #Matlab
chart["YAxis"]["R"]["Label"] = Y_LABEL # JSON Charts
ts_cpu = []
cpus = []
sid_len = {}
for worker_log in workers_dict:
worker_dict = workers_dict[worker_log]
for sid in sorted(worker_dict[app_id]):
next_time = worker_dict[app_id][sid]["time"][-1] + timedelta(
seconds=(int(config["Control"]["TSample"]) / 1000))
if app_info[app_id][sid]["end"] < next_time and \
worker_dict[app_id][sid]["time"][-1].replace(microsecond=0) != \
app_info[app_id][sid]["end"].replace(microsecond=0) and \
app_info[app_id][sid]["end"] < app_info[app_id][sid]["deadline"]:
worker_dict[app_id][sid]["time"].append(app_info[app_id][sid]["end"])
worker_dict[app_id][sid]["cpu"].append(worker_dict[app_id][sid]["cpu"][-1])
elif next_time < app_info[app_id][sid]["end"]:
worker_dict[app_id][sid]["time"].append(next_time)
worker_dict[app_id][sid]["cpu"].append(worker_dict[app_id][sid]["cpu"][-1])
try:
sid_len[sid] = max(sid_len[sid], len(worker_dict[app_id][sid]["cpu"]))
except KeyError:
sid_len[sid] = len(worker_dict[app_id][sid]["cpu"])
for sid in sorted(sid_len):
if sid > sorted(sid_len.keys())[0]:
# print(sid, sorted(sid_len)[0])
sid_len[sid] += sid_len[list(sorted(sid_len))[list(sorted(sid_len)).index(sid) - 1]]
sid_len_keys = list(sid_len.keys())
max_cpu = (len(list(workers_dict.keys())) * config["Control"]["CoreVM"])
# first_ts = app_info[app_id][PLOT_SID_STAGE]["start"].replace(microsecond=0).timestamp()
for worker_log in workers_dict.keys():
print(worker_log)
worker_dict = workers_dict[worker_log]
first_sid = sorted(worker_dict[app_id])[0]
for sid in sorted(worker_dict[app_id]):
s_index = sid_len[
sid_len_keys[sid_len_keys.index(sid) - 1]] if sid != first_sid else 0
for time_cpu, cpu in \
zip(worker_dict[app_id][sid]["time"], worker_dict[app_id][sid]["cpu"]):
time_cpu_ts = time_cpu.replace(microsecond=0).timestamp()
if "2016-10-02_16-43-31" in worker_log:
if "74.out" in worker_log and sid == 2:
time_cpu_ts -= 6
if "100.out" in worker_log and sid == 2:
time_cpu_ts -= 2
elif "2016-10-03_08-01-39" in worker_log:
if "38.out" in worker_log and sid == 1:
time_cpu_ts -= 1
try:
# print(ts_cpu[s_index] != (time_cpu_ts - first_ts), abs(ts_cpu[s_index] - (time_cpu_ts - first_ts)) >= \
# (config["Control"]["TSample"] / 1000))
if (sid == 1 and app_id == "app-20160930162120-0000") or (
sid in [0, 1, 2] and app_id == "app-20160930170244-0000") \
or (app_id == "app-20161001190429-0000"):
# eval = abs(ts_cpu[s_index] - (time_cpu_ts - first_ts)) >= (config["Control"]["TSample"] / 1000)
eval = False
else:
eval = True
# print(ts_cpu[s_index] != (time_cpu_ts - first_ts), eval)
# eval = True
if ts_cpu[s_index] != (time_cpu_ts - first_ts) and eval:
# print(ts_cpu)
# print([tixm.replace(microsecond=0).timestamp() -
# first_ts for tixm in worker_dict[app_id][sid]["time"]])
# print("QUI", sid, (time_cpu_ts - first_ts), ts_cpu[s_index])
index = ts_cpu.index(time_cpu_ts - first_ts)
cpus[index] += cpu
else:
# if (cpus[s_index] + cpu) > max_cpu:
# print("+0 ERR")
# if (cpus[s_index + 1] + cpu) > max_cpu:
# print("+1 ERR")
# if (cpus[s_index + 2] + cpu) > max_cpu:
# print("+2 ERR")
# cpus[s_index + 2] += cpu
# else:
# cpus[s_index + 1] += cpu
# else:
cpus[s_index] += cpu
if ts_cpu[s_index] == 0.0:
# print(time_cpu_ts - first_ts)
ts_cpu[s_index] = time_cpu_ts - first_ts
except (IndexError, ValueError):
ts_cpu.append(time_cpu_ts - first_ts)
cpus.append(cpu)
s_index += 1
padding = sid_len[sid] - len(worker_dict[app_id][sid]["cpu"])
if len(ts_cpu) < sid_len[sid] and padding > 0:
for i in range(padding):
next_ts = ts_cpu[-1] + (config["Control"]["TSample"] / 1000)
if next_ts <= (end_ts - first_ts):
ts_cpu.append(next_ts)
cpus.append(0.0)
for sid in sorted_sid:
if sid != sorted_sid[-1]:
end = app_info[app_id][sid]["end"].replace(microsecond=100).timestamp() - first_ts
next_sid = sorted_sid[sorted_sid.index(sid) + 1]
next_start = app_info[app_id][next_sid]["start"].replace(
microsecond=0).timestamp() - first_ts
if (next_start - end) > (config["Control"]["TSample"] / 1000):
print("ERR ", sid)
ts_cpu.append(end + 0.01)
cpus.append(0.0)
ts_cpu.append(next_start - 0.01)
cpus.append(0.0)
ts_cpu, cpus = (list(t) for t in zip(*sorted(zip(ts_cpu, cpus))))
# for sid in sorted_sid:
# end = app_info[app_id][sid]["end"].replace(microsecond=100).timestamp() - first_ts
# try:
# index_ts = ts_cpu.index(end)
# except ValueError:
# index_ts = min(range(len(ts_cpu)), key=lambda i: abs(ts_cpu[i] - end))
# if cpus[index_ts] == 0.0:
# cpus[index_ts] = cpus[index_ts - 1]
ts_cpu.append(end_ts)
cpus.append(cpus[-1] * 2 / 3)
ax2.plot(ts_cpu, cpus, zorder=0)
ts_cpu_csv = " ".join(map(str, ts_cpu)) #Matlab
cpus_csv = " ".join(map(str, cpus)) #Matlab
m_script_content.append("cpuline=plot(["+ts_cpu_csv+"], ["+cpus_csv+"], '.-', 'color', 'blue', 'LineWidth', 2, 'MarkerEdgeColor', 'blue', 'MarkerFaceColor', 'blue','MarkerSize', 12);") #Matlab
# ts_cpu_json = ",".join(map(str, ts_cpu)) # JSON Charts
# cpus_json = ",".join(map(str, cpus)) # JSON Charts
chart["TimestampsCpu"].append(ts_cpu) # JSON Charts
chart["Cpu"].append(cpus) # JSON Charts
m_script_content.append("xd=get(cpuline,'xdata');") #Matlab
m_script_content.append("yd=get(cpuline,'ydata');") #Matlab
m_script_content.append("a=area(xd, yd);") #Matlab
m_script_content.append("set(a, 'FaceAlpha',0.5,'FaceColor', LightSteelBlue);") #Matlab
xmin, xmax = ax2.get_xlim()
ax2.set_xlim(0.0, xmax)
m_script_content.append("xl=get(hax,'XLim');") #Matlab
m_script_content.append("xmin=xl(1,1);") #Matlab
m_script_content.append("xmax=xl(1,2);") #Matlab
m_script_content.append("set(hax,'XLim',[0 xmax]);") # Matlab
chart["XAxis"]["B"]["Limits"]["Lower"] = 0 # JSON Charts
chart["XAxis"]["B"]["Limits"]["Upper"] = xmax # JSON Charts
ymin, ymax = ax2.get_ylim()
print(ymax)
ax2.set_ylim(0.0, len(list(workers_dict.keys())) * config["Control"]["CoreVM"])
ym = len(list(workers_dict.keys())) * config["Control"]["CoreVM"] #Matlab - ym is total (max) # of available cores
m_script_content.append("yl=get(hax,'YLim');") #Matlab
m_script_content.append("ymin=yl(1,1);") #Matlab
m_script_content.append("ymax=yl(1,2);") #Matlab
m_script_content.append("set(hax,'YLim',[0 "+str(ym)+"]);") # Matlab
chart["YAxis"]["R"]["Limits"]["Lower"] = 0 # JSON Charts
chart["YAxis"]["R"]["Limits"]["Upper"] = ym # JSON Charts
ax2.fill_between(ts_cpu, 0.0, cpus, facecolor="b", alpha=0.2)
# Matlab area fill tbd
yaxis_multiplier = float(config["Control"]["CoreVM"])
if len(workers_dict) > 11:
yaxis_multiplier = float(config["Control"]["CoreVM"]) * 2
ax2.yaxis.set_major_locator(plt_ticker.MultipleLocator(base=yaxis_multiplier))
m_script_content.append("yyaxis right;") #Matlab
m_script_content.append("YTick = 0:"+str(yaxis_multiplier)+":" +str(ym)+ ";") #Matlab
m_script_content.append("yticks(YTick);") #Matlab
chart["YAxis"]["R"]["TickBase"] = yaxis_multiplier # JSON Charts
ax1.yaxis.set_major_locator(plt_ticker.MultipleLocator(base=10.0))
m_script_content.append("yyaxis left;") #Matlab
m_script_content.append("YTick = 0:10.0:100;") #Matlab
m_script_content.append("yticks(YTick);") #Matlab
chart["YAxis"]["L"]["TickBase"] = 10.0 # JSON Charts
if "agg" in name: