# PLEASE READ:
# This notebook here is mostly compiling the results AFTER the benchmarks are
# done. If you use this notebook, please install LISA
#     https://github.com/ARM-software/lisa
# and then workload-processor
#     https://github.com/mrkajetanp/workload-processor.git
# first. After the installation, run this workload via:
# $ workload-processor run $WORKLOAD_PROCESSOR_INSTALL_DIR/agendas/agenda_speedometer.yaml baseline
# $ workload-processor run $WORKLOAD_PROCESSOR_INSTALL_DIR/agendas/agenda_speedometer.yaml test
# This will give you two directories of
#     speedometer_baseline_$RUNS_$DATE
# and
#     speedometer_test_$RUNS_$DATE
# To obtain power consumption results on the two benchmark runs, do
# $ workload-processor process speedometer_baseline_$RUNS_$DATE -m power
# and then
# $ workload-processor process speedometer_test_$RUNS_$DATE -m power
#
# Only after this should you start using this notebook. The reason is that
# these benchmark runs generate a huge amount of traces. Running the benchmarks
# inside this notebook can easily crash Jupyter completely.

import os
import logging as log

from lisa.utils import setup_logging
setup_logging(level=log.ERROR)

from lisa.trace import Trace
from lisa.wa import WAOutput
from lisa.stats import Stats
from lisa.datautils import series_mean
from pandas import DataFrame
import pandas as pd
import scipy as sp
import numpy as np
import plotly.express as px
import plotly.io as pio
import plotly.graph_objects as go
import holoviews as hv
from holoviews import opts
from bokeh.themes import built_in_themes
from tabulate import tabulate

from holoviews.operation.datashader import datashade, rasterize
from holoviews.operation import decimate

from wp.notebook import WorkloadNotebookAnalysis, setup_notebook

setup_notebook()

sp.plot.results_line(['Speedometer Score'])

sp.plot.overutilized_line()

sp.plot.perf_line()

sp.plot.perf_bar()

sp.plot.idle_residency_bar()

sp.plot.idle_miss_bar()

sp.plot.power_meter_line()

sp.plot.energy_estimate_line()

sp.plot.energy_estimate_bar()

sp.plot.thermal_line()

sp.plot.thermal_bar()

sp.plot.frequency_line()

sp.plot.frequency_bar()

sp.plot.sched_pelt_cfs_line()

sp.plot.sched_pelt_cfs_bar()

sp.plot.wakeup_latency_line(height=1100, columns=4)

sp.plot.wakeup_latency_bar(height=1000, columns=4)

sp.plot.wakeup_latency_quantiles_bar(height=2000, columns=2)

sp.plot.wakeup_latency_cgroup_line()

sp.plot.wakeup_latency_cgroup_bar()

sp.plot.wakeup_latency_cgroup_quantiles_bar()

sp.plot.tasks_cpu_residency_cluster_line()

sp.plot.tasks_cpu_residency_cluster_bar()

sp.plot.tasks_cpu_residency_per_task_bar()

sp.plot.tasks_cpu_residency_cpu_bar()

sp.plot.cgroup_cpu_residency_cluster_bar()

sp.plot.cgroup_cpu_residency_cpu()

sp.plot.summary()

sp.save_image_plots('/home/kajpuc01/temp/sp_vh_impact')