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https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
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ls_qa.py read test_run from meta.txt and if not present get test_run
from the location of the kpi.csv Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>
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@@ -123,6 +123,32 @@ class csv_sql():
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kpi_path=_kpi_path))
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return test_id, test_tag
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def get_test_run_from_meta(self, _kpi_path):
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test_run = "NA"
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print("read meta path {_kpi_path}".format(_kpi_path=_kpi_path))
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try:
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meta_data_path = _kpi_path + '/' + '/meta.txt'
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meta_data_fd = open(meta_data_path, 'r')
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for line in meta_data_fd:
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if "test_run" in line:
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test_run = line.replace("test_run", "")
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test_run = test_run.strip()
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print("meta_data_path: {meta_data_path} test_run: {test_run}".format(
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meta_data_path=meta_data_path, test_run=test_run))
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meta_data_fd.close()
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except BaseException:
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print("exception reading test_run from {_kpi_path}".format(
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_kpi_path=_kpi_path))
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if test_run is "NA":
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try:
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test_run = _kpi_path.rsplit('/', 2)[0]
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print("try harder test_run {test_run}".format(test_run))
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except BaseException:
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print("exception getting test_run from kpi_path")
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print("Try harder test_run: {test_run} _kpi_path: {_kpi_path}".format(test_run=test_run, _kpi_path=_kpi_path))
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return test_run
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def get_test_tag_from_meta(self, _kpi_path):
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test_tag = "NA"
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use_meta_test_tag = False
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@@ -260,8 +286,9 @@ class csv_sql():
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# only store the path to the kpi.csv file
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_kpi_path = str(kpi).replace('kpi.csv', '')
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df_kpi_tmp['kpi_path'] = _kpi_path
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use_meta_test_tag, test_tag = self.get_test_tag_from_meta(
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_kpi_path)
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test_run = self.get_test_run_from_meta(_kpi_path)
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df_kpi_tmp['test_run'] = test_run
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use_meta_test_tag, test_tag = self.get_test_tag_from_meta(_kpi_path)
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if use_meta_test_tag:
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df_kpi_tmp['test-tag'] = test_tag
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df_kpi_tmp = df_kpi_tmp.append(df_kpi_tmp, ignore_index=True)
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@@ -365,6 +392,9 @@ class csv_sql():
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self.test_rig_list = test_rig_list
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print("test_rig_list: {}".format(test_rig_list))
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# TODO determin the subtest pass and fail graph
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# create the rest of the graphs
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for test_rig in test_rig_list:
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for test_tag in test_tag_list:
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for group in graph_group_list:
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@@ -413,8 +443,7 @@ class csv_sql():
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"GRAPHING::: test-rig {} test-tag {} Graph-Group {}".format(test_rig, test_tag, group))
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# group of Score will have subtest
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if group == 'Score':
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# Print out the Standard Score report , May want to
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# check for empty pass fail
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# Print out the Standard Score report
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kpi_fig = (
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px.scatter(
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df_tmp,
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@@ -438,8 +467,8 @@ class csv_sql():
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)
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kpi_fig.update_layout(
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title="{} : {} : {} : {}".format(
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test_id_list[-1], group, test_tag, test_rig),
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title="{test_id} : {group} : {test_tag} : {test_rig}".format(
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test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig),
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xaxis_title="Time",
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yaxis_title="{}".format(units_list[-1]),
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xaxis={'type': 'date'}
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@@ -453,60 +482,6 @@ class csv_sql():
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kpi_path_list=kpi_path_list,
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kpi_fig=kpi_fig)
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df_tmp["Percent"] = df_tmp["Subtest-Pass"] / \
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(df_tmp["Subtest-Pass"] +
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df_tmp["Subtest-Fail"])
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fig1 = (
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px.scatter(
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df_tmp,
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x="Date",
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y="Percent",
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custom_data=[
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'short-description',
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'Percent',
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'Subtest-Pass',
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'Subtest-Fail'],
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color="short-description",
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hover_name="short-description",
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size_max=60)).update_traces(
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mode='lines+markers')
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fig1.update_traces(
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hovertemplate="<br>".join([
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"short-description: %{customdata[0]}",
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"Percent: %{customdata[1]:.2%}",
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"Subtest-Pass: %{customdata[2]}",
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"Subtest-Fail: %{customdata[3]}"
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])
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)
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'''
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kpi_fig = go.Figure(data=fig1.data + fig2.data)
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the kpi_fig is a go.Figure
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'''
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kpi_fig = go.Figure(data=fig1.data)
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kpi_fig.update_layout(yaxis=dict(tickformat='.2%'))
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kpi_fig.update_layout(
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title="{} : {} : Subtests : {} : {}".format(
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test_id_list[-1], group, test_tag, test_rig),
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xaxis_title="Time",
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yaxis_title="Subtest Percent Pass",
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xaxis={'type': 'date'}
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)
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# modify the group
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group = group + "_subtests"
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self.generate_png(df_tmp=df_tmp,
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group=group,
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test_id_list=test_id_list,
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test_tag=test_tag,
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test_rig=test_rig,
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kpi_path_list=kpi_path_list,
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kpi_fig=kpi_fig)
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# kpi_fig.add_scatter(x=df_tmp['Date'], y=df_tmp['Subtest-Fail']).update_traces(mode='lines+markers')
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else:
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kpi_fig = (
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px.scatter(
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@@ -519,10 +494,10 @@ class csv_sql():
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mode='lines+markers')
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kpi_fig.update_layout(
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title="{} : {} : {} : {}".format(
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test_id_list[-1], group, test_tag, test_rig),
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title="{test_id} : {group} : {test_tag} : {test_rig}".format(
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test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig),
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xaxis_title="Time",
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yaxis_title="{}".format(units_list[-1]),
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yaxis_title="{units}".format(units=units_list[-1]),
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xaxis={'type': 'date'}
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)
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