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https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
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lf_graph.py lf_report_test.py : pep8 complience
Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>
This commit is contained in:
Chuck SmileyRekiere
@@ -2,13 +2,13 @@
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'''
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NAME: lf_report_test.py
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PURPOSE:
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PURPOSE:
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Common file for testing lf_report and lf_graph Library generates html and pdf output
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SETUP:
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SETUP:
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/lanforge/html-reports directory needs to be present or output generated in local file
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EXAMPLE:
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EXAMPLE:
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./lf_report_test.py : currently script does not accept input
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COPYWRITE
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@@ -28,7 +28,7 @@ import pdfkit
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import random
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import argparse
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sys.path.append(os.path.join(os.path.abspath(__file__ + "../../../")))
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lf_report = importlib.import_module("py-scripts.lf_report")
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@@ -40,22 +40,24 @@ lf_stacked_graph = lf_graph.lf_stacked_graph
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lf_horizontal_stacked_graph = lf_graph.lf_horizontal_stacked_graph
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# Unit Test
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def main():
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# Testing: generate data frame
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parser = argparse.ArgumentParser(
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prog="lf_report_test.py",
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formatter_class=argparse.RawTextHelpFormatter,
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description='''\
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-----------------
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-----------------
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NAME: lf_report_test.py
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PURPOSE:
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PURPOSE:
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Common file for testing lf_report and lf_graph Library generates html and pdf output
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SETUP:
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SETUP:
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/lanforge/html-reports directory needs to be present or output generated in local file
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EXAMPLE:
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EXAMPLE:
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./lf_report_test.py : currently script does not accept input
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COPYWRITE
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@@ -65,8 +67,13 @@ COPYWRITE
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INCLUDE_IN_README
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''')
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parser.add_argument('--mgr','--lfmgr', dest='lfmgr', help='sample argument: where LANforge GUI is running', default='localhost')
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# the args parser is not really used , this is so the report is not generated when testing
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parser.add_argument(
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'--mgr',
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'--lfmgr',
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dest='lfmgr',
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help='sample argument: where LANforge GUI is running',
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default='localhost')
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# the args parser is not really used , this is so the report is not generated when testing
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# the imports with --help
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args = parser.parse_args()
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print("LANforge manager {lfmgr}".format(lfmgr=args.lfmgr))
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@@ -82,7 +89,7 @@ INCLUDE_IN_README
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print(dataframe)
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# Testing: generate data frame
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# Testing: generate data frame
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dataframe2 = pd.DataFrame({
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'station': [1, 2, 3, 4, 5, 6, 7],
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'time_seconds': [23, 78, 22, 19, 45, 22, 25]
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@@ -137,7 +144,7 @@ INCLUDE_IN_README
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_xaxis_categories=x_axis_values,
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_graph_image_name="Bi-single_radio_2.4GHz",
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_label=["bi-downlink", "bi-uplink", 'uplink'],
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_color=['darkorange', 'forestgreen','blueviolet'],
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_color=['darkorange', 'forestgreen', 'blueviolet'],
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_color_edge='red',
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_grp_title="Throughput for each clients",
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_xaxis_step=5,
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@@ -146,7 +153,7 @@ INCLUDE_IN_README
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_text_rotation=45,
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_xticks_font=7,
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_legend_loc="best",
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_legend_box=(1,1),
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_legend_box=(1, 1),
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_legend_ncol=1,
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_legend_fontsize=None,
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_enable_csv=True)
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@@ -156,7 +163,7 @@ INCLUDE_IN_README
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print("graph name {}".format(graph_png))
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report.set_graph_image(graph_png)
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# need to move the graph image to the results
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# need to move the graph image to the results
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report.move_graph_image()
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if graph.enable_csv:
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report.set_csv_filename(graph_png)
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@@ -169,7 +176,7 @@ INCLUDE_IN_README
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_graph_image_name="image_name1",
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_color=None,
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_label=["s1", "s2", "s3"],
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_enable_csv = False)
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_enable_csv=False)
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graph_png = graph2.build_scatter_graph()
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print("graph name {}".format(graph_png))
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@@ -178,14 +185,15 @@ INCLUDE_IN_README
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report.move_graph_image()
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report.build_graph()
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# this will generate graph which is independent,we can customize the value with different colors
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# this will generate graph which is independent,we can customize the value
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# with different colors
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graph2 = lf_scatter_graph(_x_data_set=set1, _y_data_set=[45, 67, 45, 34], _values=[0, 0, 0, 1],
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_xaxis_name="x-axis",
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_yaxis_name="y-axis",
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_graph_image_name="image_name_map",
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_color=None,
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_label=["s1", "s2"],
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_enable_csv = False)
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_enable_csv=False)
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graph_png = graph2.build_scatter_graph()
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print("graph name {}".format(graph_png))
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@@ -194,14 +202,15 @@ INCLUDE_IN_README
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report.move_graph_image()
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report.build_graph()
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dataset = [["1", "2", "3", "4"], [12, 45, 67, 34], [23, 67, 23, 12], [25, 45, 34, 23]]
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dataset = [["1", "2", "3", "4"], [12, 45, 67, 34],
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[23, 67, 23, 12], [25, 45, 34, 23]]
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graph = lf_stacked_graph(_data_set=dataset,
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_xaxis_name="Stations",
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_yaxis_name="Login PASS/FAIL",
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_label=['Success', 'Fail', 'both'],
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_graph_image_name="login_pass_fail1",
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_color=None,
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_enable_csv = False)
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_enable_csv=False)
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graph_png = graph.build_stacked_graph()
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@@ -221,7 +230,7 @@ INCLUDE_IN_README
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_graph_image_name="image_name_pass_fail",
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_color=["r", "g"],
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_figsize=(9, 4),
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_enable_csv = False)
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_enable_csv=False)
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graph_png = graph.build_horizontal_stacked_graph()
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