#!/usr/bin/env python3
"""
NAME: lf_graph.py
PURPOSE:
Common Library for generating graphs for LANforge output
SETUP:
/lanforge/html-reports directory needs to be present or output generated in local file
EXAMPLE:
see: /py-scritps/lf_report_test.py for example
COPYWRITE
Copyright 2021 Candela Technologies Inc
License: Free to distribute and modify. LANforge systems must be licensed.
INCLUDE_IN_README
"""
import sys
import os
import importlib
import matplotlib.pyplot as plt
import numpy as np
import pdfkit
from matplotlib.colors import ListedColormap
import argparse
sys.path.append(os.path.join(os.path.abspath(__file__ + "../../../")))
lf_csv = importlib.import_module("py-scripts.lf_csv")
lf_csv = lf_csv.lf_csv
# internal candela references included during intial phases, to be deleted
# at future date
# graph reporting classes
class lf_bar_graph():
def __init__(self, _data_set=[[30.4, 55.3, 69.2, 37.1], [45.1, 67.2, 34.3, 22.4], [22.5, 45.6, 12.7, 34.8]],
_xaxis_name="x-axis",
_yaxis_name="y-axis",
_xaxis_categories=[1, 2, 3, 4],
_xaxis_label=["a", "b", "c", "d"],
_graph_title="",
_title_size=16,
_graph_image_name="image_name",
_label=["bi-downlink", "bi-uplink", 'uplink'],
_color=None,
_bar_width=0.25,
_color_edge='grey',
_font_weight='bold',
_color_name=['lightcoral', 'darkgrey', 'r', 'g', 'b', 'y'],
_figsize=(10, 5),
_show_bar_value=False,
_xaxis_step=1,
_xticks_font=None,
_xaxis_value_location=0,
_text_font=None,
_text_rotation=None,
_grp_title="",
_legend_handles=None,
_legend_loc="best",
_legend_box=None,
_legend_ncol=1,
_legend_fontsize=None,
_dpi=96,
_enable_csv=False):
self.data_set = _data_set
self.xaxis_name = _xaxis_name
self.yaxis_name = _yaxis_name
self.xaxis_categories = _xaxis_categories
self.xaxis_label = _xaxis_label
self.title = _graph_title
self.title_size = _title_size
self.graph_image_name = _graph_image_name
self.label = _label
self.color = _color
self.bar_width = _bar_width
self.color_edge = _color_edge
self.font_weight = _font_weight
self.color_name = _color_name
self.figsize = _figsize
self.show_bar_value = _show_bar_value
self.xaxis_step = _xaxis_step
self.xticks_font = _xticks_font
self._xaxis_value_location = _xaxis_value_location
self.text_font = _text_font
self.text_rotation = _text_rotation
self.grp_title = _grp_title
self.enable_csv = _enable_csv
self.lf_csv = lf_csv()
self.legend_handles = _legend_handles
self.legend_loc = _legend_loc
self.legend_box = _legend_box
self.legend_ncol = _legend_ncol
self.legend_fontsize = _legend_fontsize
def build_bar_graph(self):
if self.color is None:
i = 0
self.color = []
for col in self.data_set:
self.color.append(self.color_name[i])
i = i + 1
fig = plt.subplots(figsize=self.figsize)
i = 0
def show_value(rects):
for rect in rects:
h = rect.get_height()
plt.text(rect.get_x() + rect.get_width() / 2., h, h,
ha='center', va='bottom', rotation=self.text_rotation, fontsize=self.text_font)
for data in self.data_set:
if i > 0:
br = br1
br2 = [x + self.bar_width for x in br]
rects = plt.bar(br2, self.data_set[i], color=self.color[i], width=self.bar_width,
edgecolor=self.color_edge, label=self.label[i])
if self.show_bar_value:
show_value(rects)
br1 = br2
i = i + 1
else:
br1 = np.arange(len(self.data_set[i]))
rects = plt.bar(br1, self.data_set[i], color=self.color[i], width=self.bar_width,
edgecolor=self.color_edge, label=self.label[i])
if self.show_bar_value:
show_value(rects)
i = i + 1
plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
if self.xaxis_categories[0] == 0:
plt.xticks(np.arange(0,
len(self.xaxis_categories),
step=self.xaxis_step),
fontsize=self.xticks_font)
else:
plt.xticks([i + self._xaxis_value_location for i in np.arange(0, len(self.data_set[0]), step=self.xaxis_step)],
self.xaxis_categories, fontsize=self.xticks_font)
plt.legend(
handles=self.legend_handles,
loc=self.legend_loc,
bbox_to_anchor=self.legend_box,
ncol=self.legend_ncol,
fontsize=self.legend_fontsize)
plt.suptitle(self.title, fontsize=self.title_size)
plt.title(self.grp_title)
fig = plt.gcf()
plt.savefig("%s.png" % self.graph_image_name, dpi=96)
plt.close()
print("{}.png".format(self.graph_image_name))
if self.enable_csv:
if self.data_set is not None and self.xaxis_categories is not None:
if len(self.xaxis_categories) == len(self.data_set[0]):
self.lf_csv.columns = []
self.lf_csv.rows = []
self.lf_csv.columns.append(self.xaxis_name)
self.lf_csv.columns.extend(self.label)
self.lf_csv.rows.append(self.xaxis_categories)
self.lf_csv.rows.extend(self.data_set)
self.lf_csv.filename = f"{self.graph_image_name}.csv"
self.lf_csv.generate_csv()
else:
raise ValueError(
"Length and x-axis values and y-axis values should be same.")
else:
print("No Dataset Found")
print("{}.csv".format(self.graph_image_name))
return "%s.png" % self.graph_image_name
class lf_scatter_graph():
def __init__(self,
_x_data_set=["sta0 ", "sta1", "sta2", "sta3"],
_y_data_set=[[30, 55, 69, 37]],
_values=None,
_xaxis_name="x-axis",
_yaxis_name="y-axis",
_label=["num1", "num2"],
_graph_image_name="image_name1",
_color=["r", "y"],
_figsize=(9, 4),
_enable_csv=True):
self.x_data_set = _x_data_set
self.y_data_set = _y_data_set
self.xaxis_name = _xaxis_name
self.yaxis_name = _yaxis_name
self.figsize = _figsize
self.graph_image_name = _graph_image_name
self.color = _color
self.label = _label
self.values = _values
self.enable_csv = _enable_csv
self.lf_csv = lf_csv()
def build_scatter_graph(self):
if self.color is None:
self.color = [
"orchid",
"lime",
"aquamarine",
"royalblue",
"darkgray",
"maroon"]
fig = plt.subplots(figsize=self.figsize)
if self.values is None:
plt.scatter(
self.x_data_set,
self.y_data_set[0],
color=self.color[0],
label=self.label[0])
if len(self.y_data_set) > 1:
for i in range(1, len(self.y_data_set)):
plt.scatter(
self.x_data_set,
self.y_data_set[i],
color=self.color[i],
label=self.label[i])
plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
plt.gcf().autofmt_xdate()
plt.legend()
else:
colours = ListedColormap(self.color)
scatter = plt.scatter(
self.x_data_set,
self.y_data_set,
c=self.values,
cmap=colours)
plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
plt.gcf().autofmt_xdate()
plt.legend(handles=scatter.legend_elements()[0], labels=self.label)
plt.savefig("%s.png" % self.graph_image_name, dpi=96)
plt.close()
print("{}.png".format(self.graph_image_name))
if self.enable_csv:
self.lf_csv.columns = self.label
self.lf_csv.rows = self.y_data_set
self.lf_csv.filename = f"{self.graph_image_name}.csv"
self.lf_csv.generate_csv()
return "%s.png" % self.graph_image_name
class lf_stacked_graph():
def __init__(self,
_data_set=[[1, 2, 3, 4], [1, 1, 1, 1], [1, 1, 1, 1]],
_xaxis_name="Stations",
_yaxis_name="Numbers",
_label=['Success', 'Fail'],
_graph_image_name="image_name2",
_color=["b", "g"],
_figsize=(9, 4),
_enable_csv=True):
self.data_set = _data_set # [x_axis,y1_axis,y2_axis]
self.xaxis_name = _xaxis_name
self.yaxis_name = _yaxis_name
self.figsize = _figsize
self.graph_image_name = _graph_image_name
self.label = _label
self.color = _color
self.enable_csv = _enable_csv
self.lf_csv = lf_csv()
def build_stacked_graph(self):
fig = plt.subplots(figsize=self.figsize)
if self.color is None:
self.color = [
"darkred",
"tomato",
"springgreen",
"skyblue",
"indigo",
"plum"]
plt.bar(self.data_set[0], self.data_set[1], color=self.color[0])
plt.bar(
self.data_set[0],
self.data_set[2],
bottom=self.data_set[1],
color=self.color[1])
if len(self.data_set) > 3:
for i in range(3, len(self.data_set)):
plt.bar(self.data_set[0], self.data_set[i],
bottom=np.array(self.data_set[i - 2]) + np.array(self.data_set[i - 1]), color=self.color[i - 1])
plt.xlabel(self.xaxis_name)
plt.ylabel(self.yaxis_name)
plt.legend(self.label)
plt.savefig("%s.png" % (self.graph_image_name), dpi=96)
plt.close()
print("{}.png".format(self.graph_image_name))
if self.enable_csv:
self.lf_csv.columns = self.label
self.lf_csv.rows = self.data_set
self.lf_csv.filename = f"{self.graph_image_name}.csv"
self.lf_csv.generate_csv()
return "%s.png" % (self.graph_image_name)
class lf_horizontal_stacked_graph():
def __init__(self,
_seg=2,
_yaxis_set=('A', 'B'),
_xaxis_set1=[12, 0, 0, 16, 15],
_xaxis_set2=[23, 34, 23, 0],
_unit="%",
_xaxis_name="Stations",
_label=['Success', 'Fail'],
_graph_image_name="image_name3",
_color=["success", "Fail"],
_figsize=(9, 4),
_disable_xaxis=False,
_enable_csv=True):
self.unit = _unit
self.seg = _seg
self.xaxis_set1 = _xaxis_set1
self.xaxis_set2 = _xaxis_set2
self.yaxis_set = _yaxis_set
self.xaxis_name = _xaxis_name
self.figsize = _figsize
self.graph_image_name = _graph_image_name
self.label = _label
self.color = _color
self.disable_xaxis = _disable_xaxis
self.enable_csv = _enable_csv
self.lf_csv = lf_csv()
def build_horizontal_stacked_graph(self):
def sumzip(items):
return [sum(values) for values in zip(items)]
fig, ax = plt.subplots(figsize=self.figsize)
n = self.seg
values1 = self.xaxis_set1
values2 = self.xaxis_set2
ind = np.arange(n) + .15
width = 0.3
rects1 = plt.barh(
ind,
values1,
width,
color=self.color[0],
label=self.label[0])
rects2 = plt.barh(
ind,
values2,
width,
left=sumzip(values1),
color=self.color[1],
label=self.label[1])
extra_space = 0.15
ax.set_yticks(ind + width - extra_space)
ax.set_yticklabels(self.yaxis_set)
ax.yaxis.set_tick_params(length=0, labelbottom=True)
for i, v in enumerate(values1):
if v != 0:
plt.text(v * 0.45, i + .145, "%s%s" % (v, self.unit), color='white', fontweight='bold', fontsize=10,
ha='center', va='center')
for i, v in enumerate(values2):
if v != 0:
plt.text(v * 0.45 + values1[i], i + .145, "%s%s" % (v, self.unit), color='white', fontweight='bold',
fontsize=10,
ha='center', va='center')
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.legend(loc='upper right')
if self.disable_xaxis:
plt.tick_params(
axis='x',
which='both',
bottom=False,
top=False,
labelbottom=False) # disable x-axis
plt.savefig("%s.png" % self.graph_image_name, dpi=96)
plt.close()
print("{}.png".format(self.graph_image_name))
if self.enable_csv:
self.lf_csv.columns = self.label
self.lf_csv.rows = self.data_set
self.lf_csv.filename = f"{self.graph_image_name}.csv"
self.lf_csv.generate_csv()
return "%s.png" % self.graph_image_name
class lf_line_graph():
def __init__(self, _data_set=[[30.4, 55.3, 69.2, 37.1], [45.1, 67.2, 34.3, 22.4], [22.5, 45.6, 12.7, 34.8]],
_xaxis_name="x-axis",
_yaxis_name="y-axis",
_xaxis_categories=[1, 2, 3, 4, 5],
_xaxis_label=["a", "b", "c", "d", "e"],
_graph_title="",
_title_size=16,
_graph_image_name="image_name",
_label=["bi-downlink", "bi-uplink", 'uplink'],
_font_weight='bold',
_color=['forestgreen', 'c', 'r', 'g', 'b', 'p'],
_figsize=(10, 5),
_xaxis_step=5,
_xticks_font=None,
_text_font=None,
_legend_handles=None,
_legend_loc="best",
_legend_box=None,
_legend_ncol=1,
_legend_fontsize=None,
_marker=None,
_dpi=96,
_enable_csv=False):
self.data_set = _data_set
self.xaxis_name = _xaxis_name
self.yaxis_name = _yaxis_name
self.xaxis_categories = _xaxis_categories
self.xaxis_label = _xaxis_label
self.grp_title = _graph_title
self.title_size = _title_size
self.graph_image_name = _graph_image_name
self.label = _label
self.color = _color
self.font_weight = _font_weight
self.figsize = _figsize
self.xaxis_step = _xaxis_step
self.xticks_font = _xticks_font
self.text_font = _text_font
self.marker = _marker
self.enable_csv = _enable_csv
self.lf_csv = lf_csv()
self.legend_handles = _legend_handles
self.legend_loc = _legend_loc
self.legend_box = _legend_box
self.legend_ncol = _legend_ncol
self.legend_fontsize = _legend_fontsize
def build_line_graph(self):
fig = plt.subplots(figsize=self.figsize)
i = 0
for data in self.data_set:
plt.plot(
self.xaxis_categories,
data,
color=self.color[i],
label=self.label[i],
marker=self.marker)
i += 1
plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
plt.legend(
handles=self.legend_handles,
loc=self.legend_loc,
bbox_to_anchor=self.legend_box,
ncol=self.legend_ncol,
fontsize=self.legend_fontsize)
plt.suptitle(self.grp_title, fontsize=self.title_size)
fig = plt.gcf()
plt.savefig("%s.png" % self.graph_image_name, dpi=96)
plt.close()
print("{}.png".format(self.graph_image_name))
if self.enable_csv:
if self.data_set is not None:
self.lf_csv.columns = self.label
self.lf_csv.rows = self.data_set
self.lf_csv.filename = f"{self.graph_image_name}.csv"
self.lf_csv.generate_csv()
else:
print("No Dataset Found")
print("{}.csv".format(self.graph_image_name))
return "%s.png" % self.graph_image_name
def main():
# arguments
parser = argparse.ArgumentParser(
prog='lf_graph.py',
formatter_class=argparse.RawTextHelpFormatter,
epilog='''\
lf_graph.py : unit test in lf_graph.py for exersizing the lf_graph.py library
''',
description='''\
-----------------
NAME: lf_graph.py
PURPOSE:
Common Library for generating graphs for LANforge output
SETUP:
/lanforge/html-reports directory needs to be present or output generated in local file
EXAMPLE:
see: /py-scritps/lf_report_test.py for example
COPYWRITE
Copyright 2021 Candela Technologies Inc
License: Free to distribute and modify. LANforge systems must be licensed.
INCLUDE_IN_README
---------------------
''')
parser.add_argument(
'--mgr',
'--lfmgr',
dest='lfmgr',
help='sample argument: where LANforge GUI is running',
default='localhost')
# the args parser is not really used , this is so the report is not generated when testing
# the imports with --help
args = parser.parse_args()
print("LANforge manager {lfmgr}".format(lfmgr=args.lfmgr))
output_html_1 = "graph_1.html"
output_pdf_1 = "graph_1.pdf"
# test build_bar_graph with defaults
graph = lf_bar_graph()
graph_html_obj = """
![]()
"""
#
test_file = open(output_html_1, "w")
test_file.write(graph_html_obj)
test_file.close()
# write to pdf
# write logic to generate pdf here
# wget https://github.com/wkhtmltopdf/packaging/releases/download/0.12.6-1/wkhtmltox_0.12.6-1.focal_amd64.deb
# sudo apt install ./wkhtmltox_0.12.6-1.focal_amd64.deb
# prevent eerror Blocked access to file
options = {"enable-local-file-access": None}
pdfkit.from_file(output_html_1, output_pdf_1, options=options)
# test build_bar_graph setting values
dataset = [[45, 67, 34, 22], [22, 45, 12, 34], [30, 55, 69, 37]]
x_axis_values = [1, 2, 3, 4]
output_html_2 = "graph_2.html"
output_pdf_2 = "graph_2.pdf"
# test build_bar_graph with defaults
graph = lf_bar_graph(_data_set=dataset,
_xaxis_name="stations",
_yaxis_name="Throughput 2 (Mbps)",
_xaxis_categories=x_axis_values,
_graph_image_name="Bi-single_radio_2.4GHz",
_label=["bi-downlink", "bi-uplink", 'uplink'],
_color=None,
_color_edge='red',
_enable_csv=True)
graph_html_obj = """
![]()
"""
#
test_file = open(output_html_2, "w")
test_file.write(graph_html_obj)
test_file.close()
# write to pdf
# write logic to generate pdf here
# wget https://github.com/wkhtmltopdf/packaging/releases/download/0.12.6-1/wkhtmltox_0.12.6-1.focal_amd64.deb
# sudo apt install ./wkhtmltox_0.12.6-1.focal_amd64.deb
# prevent eerror Blocked access to file
options = {"enable-local-file-access": None}
pdfkit.from_file(output_html_2, output_pdf_2, options=options)
# Unit Test
if __name__ == "__main__":
main()