test: use pyecharts to replace matplotlib in iperf test

This commit is contained in:
He Yin Ling 2020-12-18 16:55:26 +08:00
parent 5197716d5d
commit 97220af848
3 changed files with 47 additions and 49 deletions

View File

@ -70,6 +70,9 @@ class TestResult(object):
# we need at least 1/2 valid points to qualify the test result
THROUGHPUT_QUALIFY_COUNT = TEST_TIME // 2
RSSI_RANGE = [-x for x in range(10, 100)]
ATT_RANGE = [x for x in range(0, 64)]
def __init__(self, proto, direction, config_name):
self.proto = proto
self.direction = direction
@ -180,16 +183,6 @@ class TestResult(object):
analysis_bad_point(self.throughput_by_rssi, "rssi")
analysis_bad_point(self.throughput_by_att, "att")
@staticmethod
def _convert_to_draw_format(data, label):
keys = list(data.keys())
keys.sort()
return {
"x-axis": keys,
"y-axis": [data[x] for x in keys],
"label": label,
}
def draw_throughput_figure(self, path, ap_ssid, draw_type):
"""
:param path: folder to save figure. make sure the folder is already created.
@ -200,25 +193,24 @@ class TestResult(object):
if draw_type == "rssi":
type_name = "RSSI"
data = self.throughput_by_rssi
range_list = self.RSSI_RANGE
elif draw_type == "att":
type_name = "Att"
data = self.throughput_by_att
range_list = self.ATT_RANGE
else:
raise AssertionError("draw type not supported")
if isinstance(ap_ssid, list):
file_name = "ThroughputVs{}_{}_{}_{}.png".format(type_name, self.proto, self.direction,
hash(ap_ssid)[:6])
data_list = [self._convert_to_draw_format(data[_ap_ssid], _ap_ssid)
for _ap_ssid in ap_ssid]
file_name = "ThroughputVs{}_{}_{}_{}.html".format(type_name, self.proto, self.direction,
hash(ap_ssid)[:6])
else:
file_name = "ThroughputVs{}_{}_{}_{}.png".format(type_name, self.proto, self.direction, ap_ssid)
data_list = [self._convert_to_draw_format(data[ap_ssid], ap_ssid)]
file_name = "ThroughputVs{}_{}_{}_{}.html".format(type_name, self.proto, self.direction, ap_ssid)
LineChart.draw_line_chart(os.path.join(path, file_name),
"Throughput Vs {} ({} {})".format(type_name, self.proto, self.direction),
"{} (dbm)".format(type_name),
"Throughput (Mbps)",
data_list)
data, range_list)
return file_name
def draw_rssi_vs_att_figure(self, path, ap_ssid):
@ -228,17 +220,15 @@ class TestResult(object):
:return: file_name
"""
if isinstance(ap_ssid, list):
file_name = "AttVsRSSI_{}.png".format(hash(ap_ssid)[:6])
data_list = [self._convert_to_draw_format(self.att_rssi_map[_ap_ssid], _ap_ssid)
for _ap_ssid in ap_ssid]
file_name = "AttVsRSSI_{}.html".format(hash(ap_ssid)[:6])
else:
file_name = "AttVsRSSI_{}.png".format(ap_ssid)
data_list = [self._convert_to_draw_format(self.att_rssi_map[ap_ssid], ap_ssid)]
file_name = "AttVsRSSI_{}.html".format(ap_ssid)
LineChart.draw_line_chart(os.path.join(path, file_name),
"Att Vs RSSI",
"Att (dbm)",
"RSSI (dbm)",
data_list)
self.att_rssi_map,
self.ATT_RANGE)
return file_name
def get_best_throughput(self):

View File

@ -12,18 +12,13 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import matplotlib
# fix can't draw figure with docker
matplotlib.use('Agg')
import matplotlib.pyplot as plt # noqa: E402 - matplotlib.use('Agg') need to be before this
from collections import OrderedDict
import pyecharts.options as opts
from pyecharts.charts import Line
# candidate colors
LINE_STYLE_CANDIDATE = ['b-o', 'r-o', 'k-o', 'm-o', 'c-o', 'g-o', 'y-o',
'b-s', 'r-s', 'k-s', 'm-s', 'c-s', 'g-s', 'y-s']
def draw_line_chart(file_name, title, x_label, y_label, data_list):
def draw_line_chart(file_name, title, x_label, y_label, data_series, range_list):
"""
draw line chart and save to file.
@ -31,20 +26,33 @@ def draw_line_chart(file_name, title, x_label, y_label, data_list):
:param title: chart title
:param x_label: x-axis label
:param y_label: y-axis label
:param data_list: a list of line data.
each line is a dict of ("x-axis": list, "y-axis": list, "label": string)
:param data_series: a dict {"name": data}. data is a dict.
:param range_list: a list of x-axis range
"""
plt.figure(figsize=(12, 6))
plt.grid(True)
for i, data in enumerate(data_list):
plt.plot(data["x-axis"], data["y-axis"], LINE_STYLE_CANDIDATE[i], label=data["label"])
plt.xlabel(x_label)
plt.ylabel(y_label)
plt.legend(fontsize=12)
plt.title(title)
plt.tight_layout(pad=3, w_pad=3, h_pad=3)
plt.savefig(file_name)
plt.close()
line = Line()
# echarts do not support minus number for x axis, convert to string
_range_list = [str(x) for x in range_list]
line.add_xaxis(_range_list)
for item in data_series:
_data = OrderedDict.fromkeys(_range_list, None)
for key in data_series[item]:
_data[str(key)] = data_series[item][key]
_data = list(_data.values())
try:
legend = item + " (max: {:.02f})".format(max([x for x in _data if x]))
except TypeError:
legend = item
line.add_yaxis(legend, _data, is_smooth=True, is_connect_nones=True,
label_opts=opts.LabelOpts(is_show=False))
line.set_global_opts(
datazoom_opts=opts.DataZoomOpts(range_start=0, range_end=100),
title_opts=opts.TitleOpts(title=title, pos_left="center"),
legend_opts=opts.LegendOpts(pos_top="10%", pos_left="right", orient="vertical"),
tooltip_opts=opts.TooltipOpts(trigger="axis"),
xaxis_opts=opts.AxisOpts(type_="category", name=x_label, splitline_opts=opts.SplitLineOpts(is_show=True)),
yaxis_opts=opts.AxisOpts(type_="value", name=y_label,
axistick_opts=opts.AxisTickOpts(is_show=True),
splitline_opts=opts.SplitLineOpts(is_show=True)),
)
line.render(file_name)

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@ -229,7 +229,7 @@ class ThroughputVsRssiReport(object):
result.draw_throughput_figure(self.raw_data_path, ap_ssid, "att")
result.draw_rssi_vs_att_figure(self.raw_data_path, ap_ssid)
ret += "\r\n![throughput Vs RSSI]({})\r\n".format(os.path.join("raw_data", file_name))
ret += "\r\n[throughput Vs RSSI]({})\r\n".format(os.path.join("raw_data", file_name))
return ret