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test: use pyecharts to replace matplotlib in iperf test
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@ -70,6 +70,9 @@ class TestResult(object):
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# we need at least 1/2 valid points to qualify the test result
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THROUGHPUT_QUALIFY_COUNT = TEST_TIME // 2
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RSSI_RANGE = [-x for x in range(10, 100)]
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ATT_RANGE = [x for x in range(0, 64)]
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def __init__(self, proto, direction, config_name):
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self.proto = proto
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self.direction = direction
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@ -180,16 +183,6 @@ class TestResult(object):
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analysis_bad_point(self.throughput_by_rssi, "rssi")
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analysis_bad_point(self.throughput_by_att, "att")
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@staticmethod
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def _convert_to_draw_format(data, label):
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keys = list(data.keys())
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keys.sort()
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return {
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"x-axis": keys,
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"y-axis": [data[x] for x in keys],
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"label": label,
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}
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def draw_throughput_figure(self, path, ap_ssid, draw_type):
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"""
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:param path: folder to save figure. make sure the folder is already created.
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@ -200,25 +193,24 @@ class TestResult(object):
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if draw_type == "rssi":
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type_name = "RSSI"
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data = self.throughput_by_rssi
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range_list = self.RSSI_RANGE
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elif draw_type == "att":
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type_name = "Att"
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data = self.throughput_by_att
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range_list = self.ATT_RANGE
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else:
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raise AssertionError("draw type not supported")
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if isinstance(ap_ssid, list):
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file_name = "ThroughputVs{}_{}_{}_{}.png".format(type_name, self.proto, self.direction,
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hash(ap_ssid)[:6])
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data_list = [self._convert_to_draw_format(data[_ap_ssid], _ap_ssid)
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for _ap_ssid in ap_ssid]
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file_name = "ThroughputVs{}_{}_{}_{}.html".format(type_name, self.proto, self.direction,
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hash(ap_ssid)[:6])
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else:
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file_name = "ThroughputVs{}_{}_{}_{}.png".format(type_name, self.proto, self.direction, ap_ssid)
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data_list = [self._convert_to_draw_format(data[ap_ssid], ap_ssid)]
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file_name = "ThroughputVs{}_{}_{}_{}.html".format(type_name, self.proto, self.direction, ap_ssid)
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LineChart.draw_line_chart(os.path.join(path, file_name),
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"Throughput Vs {} ({} {})".format(type_name, self.proto, self.direction),
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"{} (dbm)".format(type_name),
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"Throughput (Mbps)",
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data_list)
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data, range_list)
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return file_name
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def draw_rssi_vs_att_figure(self, path, ap_ssid):
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@ -228,17 +220,15 @@ class TestResult(object):
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:return: file_name
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"""
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if isinstance(ap_ssid, list):
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file_name = "AttVsRSSI_{}.png".format(hash(ap_ssid)[:6])
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data_list = [self._convert_to_draw_format(self.att_rssi_map[_ap_ssid], _ap_ssid)
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for _ap_ssid in ap_ssid]
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file_name = "AttVsRSSI_{}.html".format(hash(ap_ssid)[:6])
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else:
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file_name = "AttVsRSSI_{}.png".format(ap_ssid)
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data_list = [self._convert_to_draw_format(self.att_rssi_map[ap_ssid], ap_ssid)]
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file_name = "AttVsRSSI_{}.html".format(ap_ssid)
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LineChart.draw_line_chart(os.path.join(path, file_name),
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"Att Vs RSSI",
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"Att (dbm)",
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"RSSI (dbm)",
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data_list)
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self.att_rssi_map,
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self.ATT_RANGE)
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return file_name
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def get_best_throughput(self):
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@ -12,18 +12,13 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import matplotlib
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# fix can't draw figure with docker
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt # noqa: E402 - matplotlib.use('Agg') need to be before this
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from collections import OrderedDict
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import pyecharts.options as opts
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from pyecharts.charts import Line
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# candidate colors
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LINE_STYLE_CANDIDATE = ['b-o', 'r-o', 'k-o', 'm-o', 'c-o', 'g-o', 'y-o',
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'b-s', 'r-s', 'k-s', 'm-s', 'c-s', 'g-s', 'y-s']
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def draw_line_chart(file_name, title, x_label, y_label, data_list):
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def draw_line_chart(file_name, title, x_label, y_label, data_series, range_list):
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"""
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draw line chart and save to file.
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@ -31,20 +26,33 @@ def draw_line_chart(file_name, title, x_label, y_label, data_list):
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:param title: chart title
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:param x_label: x-axis label
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:param y_label: y-axis label
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:param data_list: a list of line data.
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each line is a dict of ("x-axis": list, "y-axis": list, "label": string)
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:param data_series: a dict {"name": data}. data is a dict.
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:param range_list: a list of x-axis range
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"""
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plt.figure(figsize=(12, 6))
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plt.grid(True)
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for i, data in enumerate(data_list):
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plt.plot(data["x-axis"], data["y-axis"], LINE_STYLE_CANDIDATE[i], label=data["label"])
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plt.xlabel(x_label)
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plt.ylabel(y_label)
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plt.legend(fontsize=12)
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plt.title(title)
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plt.tight_layout(pad=3, w_pad=3, h_pad=3)
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plt.savefig(file_name)
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plt.close()
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line = Line()
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# echarts do not support minus number for x axis, convert to string
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_range_list = [str(x) for x in range_list]
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line.add_xaxis(_range_list)
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for item in data_series:
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_data = OrderedDict.fromkeys(_range_list, None)
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for key in data_series[item]:
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_data[str(key)] = data_series[item][key]
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_data = list(_data.values())
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try:
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legend = item + " (max: {:.02f})".format(max([x for x in _data if x]))
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except TypeError:
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legend = item
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line.add_yaxis(legend, _data, is_smooth=True, is_connect_nones=True,
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label_opts=opts.LabelOpts(is_show=False))
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line.set_global_opts(
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datazoom_opts=opts.DataZoomOpts(range_start=0, range_end=100),
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title_opts=opts.TitleOpts(title=title, pos_left="center"),
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legend_opts=opts.LegendOpts(pos_top="10%", pos_left="right", orient="vertical"),
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tooltip_opts=opts.TooltipOpts(trigger="axis"),
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xaxis_opts=opts.AxisOpts(type_="category", name=x_label, splitline_opts=opts.SplitLineOpts(is_show=True)),
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yaxis_opts=opts.AxisOpts(type_="value", name=y_label,
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axistick_opts=opts.AxisTickOpts(is_show=True),
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splitline_opts=opts.SplitLineOpts(is_show=True)),
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)
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line.render(file_name)
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@ -229,7 +229,7 @@ class ThroughputVsRssiReport(object):
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result.draw_throughput_figure(self.raw_data_path, ap_ssid, "att")
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result.draw_rssi_vs_att_figure(self.raw_data_path, ap_ssid)
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ret += "\r\n![throughput Vs RSSI]({})\r\n".format(os.path.join("raw_data", file_name))
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ret += "\r\n[throughput Vs RSSI]({})\r\n".format(os.path.join("raw_data", file_name))
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return ret
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