mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
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218 lines
7.4 KiB
Python
Executable File
218 lines
7.4 KiB
Python
Executable File
#!/usr/bin/env python3
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'''
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NAME: lf_report_test.py
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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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/lanforge/html-reports directory needs to be present or output generated in local file
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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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Copyright 2021 Candela Technologies Inc
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License: Free to distribute and modify. LANforge systems must be licensed.
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INCLUDE_IN_README
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'''
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import sys
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import os
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import importlib
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import matplotlib.pyplot as plt
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import matplotlib as mpl
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import numpy as np
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import pandas as pd
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import pdfkit
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import random
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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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lf_report = lf_report.lf_report
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lf_graph = importlib.import_module("py-scripts.lf_graph")
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lf_bar_graph = lf_graph.lf_bar_graph
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lf_scatter_graph = lf_graph.lf_scatter_graph
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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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if __name__ == "__main__":
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# Testing: generate data frame
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dataframe = pd.DataFrame({
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'product': ['CT521a-264-1ac-1n', 'CT521a-1ac-1ax', 'CT522-264-1ac2-1n', 'CT523c-2ac2-db-10g-cu',
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'CT523c-3ac2-db-10g-cu', 'CT523c-8ax-ac10g-cu', 'CT523c-192-2ac2-1ac-10g'],
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'radios': [1, 1, 2, 2, 6, 9, 3],
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'MIMO': ['N', 'N', 'N', 'Y', 'Y', 'Y', 'Y'],
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'stations': [200, 64, 200, 128, 384, 72, 192],
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'1 mbps': [300, 300, 300, 10000, 10000, 10000, 10000]
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})
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print(dataframe)
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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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})
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# report = lf_report(_dataframe=dataframe)
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report = lf_report()
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report_path = report.get_path()
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report_path_date_time = report.get_path_date_time()
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print("path: {}".format(report_path))
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print("path_date_time: {}".format(report_path_date_time))
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report.set_title("Banner Title One")
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report.build_banner()
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# report.set_title("Banner Title Two")
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# report.build_banner()
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report.set_table_title("Title One")
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report.build_table_title()
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report.set_table_dataframe(dataframe)
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report.build_table()
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report.set_table_title("Title Two")
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report.build_table_title()
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report.set_table_dataframe(dataframe2)
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report.build_table()
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set_xaxis = []
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y_set1 = []
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y_set2 = []
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y_set3 = []
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for i in range(0, 30):
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set_xaxis.append(i)
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y_set1.append(random.randint(1, 50))
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y_set2.append(random.randint(1, 50))
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y_set3.append(random.randint(1, 50))
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# test lf_graph in report
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dataset = [y_set1, y_set2, y_set3]
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x_axis_values = set_xaxis
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report.set_graph_title("Graph Title")
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report.build_graph_title()
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graph = lf_bar_graph(_data_set=dataset,
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_xaxis_name="stations",
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_yaxis_name="Throughput 2 (Mbps)",
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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_edge='red',
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_grp_title="Throughput for each clients",
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_xaxis_step=5,
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_show_bar_value=True,
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_text_font=7,
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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_ncol=1,
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_legend_fontsize=None,
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_enable_csv=True)
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graph_png = graph.build_bar_graph()
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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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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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report.move_csv_file()
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report.build_graph()
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set1 = [1, 2, 3, 4]
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set2 = [[45, 67, 45, 34], [34, 56, 45, 34], [45, 78, 23, 45]]
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graph2 = lf_scatter_graph(_x_data_set=set1, _y_data_set=set2, _xaxis_name="x-axis", _values=None,
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_yaxis_name="y-axis",
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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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graph_png = graph2.build_scatter_graph()
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print("graph name {}".format(graph_png))
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report.set_graph_image(graph_png)
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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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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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graph_png = graph2.build_scatter_graph()
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print("graph name {}".format(graph_png))
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report.set_graph_image(graph_png)
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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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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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graph_png = graph.build_stacked_graph()
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print("graph name {}".format(graph_png))
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report.set_graph_image(graph_png)
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report.move_graph_image()
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report.build_graph()
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graph = lf_horizontal_stacked_graph(_seg=2,
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_yaxis_set=('A', 'B'),
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_xaxis_set1=[12, 65],
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_xaxis_set2=[23, 34],
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_unit="",
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_xaxis_name="Stations",
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_label=['Success', 'Fail'],
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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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graph_png = graph.build_horizontal_stacked_graph()
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print("graph name {}".format(graph_png))
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report.set_graph_image(graph_png)
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report.move_graph_image()
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report.build_graph()
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# report.build_all()
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html_file = report.write_html()
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print("returned file {}".format(html_file))
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print(html_file)
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# try other pdf formats
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# report.write_pdf()
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# report.write_pdf(_page_size = 'A3', _orientation='Landscape')
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# report.write_pdf(_page_size = 'A4', _orientation='Landscape')
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report.write_pdf(_page_size='Legal', _orientation='Landscape')
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# report.write_pdf(_page_size = 'Legal', _orientation='Portrait')
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# report.generate_report()
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