def total_size(self):
return natualsize(self.max)
def current_size(self):
return natualsize(self.index)
def csv2images(self, src=None, target_dir='.'):
"""
Args:
src: csv file, default to perf record csv path
target_dir: images store dir
"""
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import datetime
import os
from uiautomator2.utils import natualsize
src = src or self.csv_output
if not os.path.exists(target_dir):
os.makedirs(target_dir)
data = pd.read_csv(src)
data['time'] = data['time'].apply(
lambda x: datetime.datetime.strptime(x, "%Y-%m-%d %H:%M:%S.%f"))
timestr = time.strftime("%Y-%m-%d %H:%M")
# network
rx_str = natualsize(data['rxBytes'].sum())
tx_str = natualsize(data['txBytes'].sum())
plt.subplot(2, 1, 1)
plt.plot(data['time'], data['rxBytes'] / 1024, label='all')
plt.plot(data['time'], data['rxTcpBytes'] / 1024, 'r--', label='tcp')
plt.legend()
plt.title('\n'.join(
["Network", timestr,
'Recv %s, Send %s' % (rx_str, tx_str)]),
loc='left')
plt.gca().xaxis.set_major_formatter(ticker.NullFormatter())
plt.ylabel('Recv(KB)')
plt.ylim(ymin=0)
plt.subplot(2, 1, 2)
plt.plot(data['time'], data['txBytes'] / 1024, label='all')
plt.plot(data['time'], data['txTcpBytes'] / 1024, 'r--', label='tcp')
plt.legend()
plt.xlabel('Time')
plt.ylabel('Send(KB)')
plt.ylim(ymin=0)
plt.savefig(os.path.join(target_dir, "net.png"))
plt.clf()
plt.subplot(3, 1, 1)
plt.title('\n'.join(['Summary', timestr, self.package_name]),
loc='left')
plt.plot(data['time'], data['pss'], '-')
plt.ylabel('PSS(MB)')
plt.gca().xaxis.set_major_formatter(ticker.NullFormatter())
plt.subplot(3, 1, 2)
plt.plot(data['time'], data['cpu'], '-')
plt.ylim(0, max(100, data['cpu'].max()))
plt.ylabel('CPU')
plt.gca().xaxis.set_major_formatter(ticker.NullFormatter())
plt.subplot(3, 1, 3)
plt.plot(data['time'], data['fps'], '-')
plt.ylabel('FPS')
plt.ylim(0, 60)
plt.xlabel('Time')
plt.savefig(os.path.join(target_dir, "summary.png"))