mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-11-04 04:38:02 +00:00
789 lines
29 KiB
Python
Executable File
789 lines
29 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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NAME: lf_graph.py
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PURPOSE:
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Common Library for generating graphs for LANforge 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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see: /py-scritps/lf_report_test.py for example
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COPYRIGHT:
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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 numpy as np
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import pdfkit
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from matplotlib.colors import ListedColormap
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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_csv = importlib.import_module("py-scripts.lf_csv")
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lf_csv = lf_csv.lf_csv
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# internal candela references included during intial phases, to be deleted
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# at future date
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# graph reporting classes
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class lf_bar_graph:
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def __init__(self, _data_set=None,
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_xaxis_name="x-axis",
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_yaxis_name="y-axis",
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_xaxis_categories=None,
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_xaxis_label=None,
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_graph_title="",
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_title_size=16,
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_graph_image_name="image_name",
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_label=None,
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_color=None,
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_bar_width=0.25,
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_color_edge='grey',
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_font_weight='bold',
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_color_name=None,
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_figsize=(10, 5),
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_show_bar_value=False,
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_xaxis_step=1,
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_xticks_font=None,
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_xaxis_value_location=0,
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_text_font=None,
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_text_rotation=None,
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_grp_title="",
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_legend_handles=None,
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_legend_loc="best",
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_legend_box=None,
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_legend_ncol=1,
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_legend_fontsize=None,
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_dpi=96,
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_enable_csv=False):
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if _data_set is None:
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_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]]
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if _xaxis_categories is None:
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_xaxis_categories = [1, 2, 3, 4]
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if _xaxis_label is None:
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_xaxis_label = ["a", "b", "c", "d"]
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if _label is None:
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_label = ["bi-downlink", "bi-uplink", 'uplink']
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if _color_name is None:
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_color_name = ['lightcoral', 'darkgrey', 'r', 'g', 'b', 'y']
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self.data_set = _data_set
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self.xaxis_name = _xaxis_name
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self.yaxis_name = _yaxis_name
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self.xaxis_categories = _xaxis_categories
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self.xaxis_label = _xaxis_label
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self.title = _graph_title
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self.title_size = _title_size
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self.graph_image_name = _graph_image_name
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self.label = _label
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self.color = _color
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self.bar_width = _bar_width
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self.color_edge = _color_edge
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self.font_weight = _font_weight
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self.color_name = _color_name
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self.figsize = _figsize
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self.show_bar_value = _show_bar_value
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self.xaxis_step = _xaxis_step
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self.xticks_font = _xticks_font
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self._xaxis_value_location = _xaxis_value_location
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self.text_font = _text_font
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self.text_rotation = _text_rotation
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self.grp_title = _grp_title
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self.enable_csv = _enable_csv
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self.lf_csv = lf_csv()
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self.legend_handles = _legend_handles
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self.legend_loc = _legend_loc
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self.legend_box = _legend_box
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self.legend_ncol = _legend_ncol
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self.legend_fontsize = _legend_fontsize
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def build_bar_graph(self):
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if self.color is None:
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i = 0
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self.color = []
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for _ in self.data_set:
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self.color.append(self.color_name[i])
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i = i + 1
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plt.subplots(figsize=self.figsize)
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i = 0
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def show_value(rectangles):
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for rect in rectangles:
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h = rect.get_height()
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plt.text(rect.get_x() + rect.get_width() / 2., h, h,
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ha='center', va='bottom', rotation=self.text_rotation, fontsize=self.text_font)
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for _ in self.data_set:
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if i > 0:
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br = br1
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br2 = [x + self.bar_width for x in br]
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rects = plt.bar(br2, self.data_set[i], color=self.color[i], width=self.bar_width,
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edgecolor=self.color_edge, label=self.label[i])
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if self.show_bar_value:
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show_value(rects)
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br1 = br2
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i = i + 1
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else:
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br1 = np.arange(len(self.data_set[i]))
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rects = plt.bar(br1, self.data_set[i], color=self.color[i], width=self.bar_width,
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edgecolor=self.color_edge, label=self.label[i])
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if self.show_bar_value:
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show_value(rects)
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i = i + 1
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plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
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plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
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if self.xaxis_categories[0] == 0:
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plt.xticks(np.arange(0,
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len(self.xaxis_categories),
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step=self.xaxis_step),
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fontsize=self.xticks_font)
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else:
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plt.xticks(
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[i + self._xaxis_value_location for i in np.arange(0, len(self.data_set[0]), step=self.xaxis_step)],
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self.xaxis_categories, fontsize=self.xticks_font)
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plt.legend(
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handles=self.legend_handles,
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loc=self.legend_loc,
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bbox_to_anchor=self.legend_box,
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ncol=self.legend_ncol,
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fontsize=self.legend_fontsize)
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plt.suptitle(self.title, fontsize=self.title_size)
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plt.title(self.grp_title)
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plt.gcf()
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plt.savefig("%s.png" % self.graph_image_name, dpi=96)
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plt.close()
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print("{}.png".format(self.graph_image_name))
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if self.enable_csv:
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if self.data_set is not None and self.xaxis_categories is not None:
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if len(self.xaxis_categories) == len(self.data_set[0]):
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self.lf_csv.columns = []
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self.lf_csv.rows = []
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self.lf_csv.columns.append(self.xaxis_name)
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self.lf_csv.columns.extend(self.label)
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self.lf_csv.rows.append(self.xaxis_categories)
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self.lf_csv.rows.extend(self.data_set)
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self.lf_csv.filename = f"{self.graph_image_name}.csv"
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self.lf_csv.generate_csv()
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else:
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raise ValueError(
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"Length and x-axis values and y-axis values should be same.")
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else:
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print("No Dataset Found")
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print("{}.csv".format(self.graph_image_name))
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return "%s.png" % self.graph_image_name
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class lf_scatter_graph:
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def __init__(self,
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_x_data_set=None,
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_y_data_set=None,
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_values=None,
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_xaxis_name="x-axis",
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_yaxis_name="y-axis",
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_label=None,
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_graph_image_name="image_name1",
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_color=None,
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_figsize=(9, 4),
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_enable_csv=True):
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if _x_data_set is None:
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_x_data_set = ["sta0 ", "sta1", "sta2", "sta3"]
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if _y_data_set is None:
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_y_data_set = [[30, 55, 69, 37]]
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if _label is None:
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_label = ["num1", "num2"]
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self.x_data_set = _x_data_set
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self.y_data_set = _y_data_set
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self.xaxis_name = _xaxis_name
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self.yaxis_name = _yaxis_name
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self.figsize = _figsize
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self.graph_image_name = _graph_image_name
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self.color = _color
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self.label = _label
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self.values = _values
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self.enable_csv = _enable_csv
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self.lf_csv = lf_csv()
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def build_scatter_graph(self):
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if self.color is None:
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self.color = [
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"orchid",
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"lime",
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"aquamarine",
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"royalblue",
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"darkgray",
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"maroon"]
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plt.subplots(figsize=self.figsize)
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if self.values is None:
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plt.scatter(
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self.x_data_set,
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self.y_data_set[0],
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color=self.color[0],
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label=self.label[0])
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if len(self.y_data_set) > 1:
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for i in range(1, len(self.y_data_set)):
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plt.scatter(
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self.x_data_set,
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self.y_data_set[i],
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color=self.color[i],
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label=self.label[i])
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plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
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plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
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plt.gcf().autofmt_xdate()
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plt.legend()
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else:
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colours = ListedColormap(self.color)
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scatter = plt.scatter(
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self.x_data_set,
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self.y_data_set,
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c=self.values,
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cmap=colours)
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plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
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plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
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plt.gcf().autofmt_xdate()
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plt.legend(handles=scatter.legend_elements()[0], labels=self.label)
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plt.savefig("%s.png" % self.graph_image_name, dpi=96)
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plt.close()
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print("{}.png".format(self.graph_image_name))
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if self.enable_csv:
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self.lf_csv.columns = self.label
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self.lf_csv.rows = self.y_data_set
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self.lf_csv.filename = f"{self.graph_image_name}.csv"
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self.lf_csv.generate_csv()
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return "%s.png" % self.graph_image_name
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class lf_stacked_graph:
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def __init__(self,
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_data_set=None,
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_xaxis_name="Stations",
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_yaxis_name="Numbers",
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_label=None,
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_graph_image_name="image_name2",
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_color=None,
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_figsize=(9, 4),
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_enable_csv=True):
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if _data_set is None:
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_data_set = [[1, 2, 3, 4], [1, 1, 1, 1], [1, 1, 1, 1]]
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if _label is None:
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_label = ['Success', 'Fail']
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self.data_set = _data_set # [x_axis,y1_axis,y2_axis]
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self.xaxis_name = _xaxis_name
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self.yaxis_name = _yaxis_name
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self.figsize = _figsize
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self.graph_image_name = _graph_image_name
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self.label = _label
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self.color = _color
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self.enable_csv = _enable_csv
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self.lf_csv = lf_csv()
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def build_stacked_graph(self):
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plt.subplots(figsize=self.figsize)
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if self.color is None:
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self.color = [
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"darkred",
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"tomato",
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"springgreen",
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"skyblue",
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"indigo",
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"plum"]
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plt.bar(self.data_set[0], self.data_set[1], color=self.color[0])
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plt.bar(
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self.data_set[0],
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self.data_set[2],
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bottom=self.data_set[1],
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color=self.color[1])
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if len(self.data_set) > 3:
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for i in range(3, len(self.data_set)):
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plt.bar(self.data_set[0], self.data_set[i],
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bottom=np.array(self.data_set[i - 2]) + np.array(self.data_set[i - 1]), color=self.color[i - 1])
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plt.xlabel(self.xaxis_name)
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plt.ylabel(self.yaxis_name)
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plt.legend(self.label)
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plt.savefig("%s.png" % self.graph_image_name, dpi=96)
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plt.close()
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print("{}.png".format(self.graph_image_name))
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if self.enable_csv:
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self.lf_csv.columns = self.label
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self.lf_csv.rows = self.data_set
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self.lf_csv.filename = f"{self.graph_image_name}.csv"
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self.lf_csv.generate_csv()
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return "%s.png" % self.graph_image_name
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class lf_horizontal_stacked_graph:
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def __init__(self,
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_seg=2,
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_yaxis_set=('A', 'B'),
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_xaxis_set1=None,
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_xaxis_set2=None,
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_unit="%",
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_xaxis_name="Stations",
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_label=None,
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_graph_image_name="image_name3",
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_color=None,
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_figsize=(9, 4),
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_disable_xaxis=False,
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_enable_csv=True):
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if _xaxis_set1 is None:
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_xaxis_set1 = [12, 0, 0, 16, 15]
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if _xaxis_set2 is None:
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_xaxis_set2 = [23, 34, 23, 0]
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if _label is None:
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_label = ['Success', 'Fail']
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if _color is None:
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_color = ["success", "Fail"]
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self.unit = _unit
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self.seg = _seg
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self.xaxis_set1 = _xaxis_set1
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self.xaxis_set2 = _xaxis_set2
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self.yaxis_set = _yaxis_set
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self.xaxis_name = _xaxis_name
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self.figsize = _figsize
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self.graph_image_name = _graph_image_name
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self.label = _label
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self.color = _color
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self.disable_xaxis = _disable_xaxis
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self.enable_csv = _enable_csv
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self.lf_csv = lf_csv()
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def build_horizontal_stacked_graph(self):
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def sumzip(items):
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return [sum(values) for values in zip(items)]
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fig, ax = plt.subplots(figsize=self.figsize)
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n = self.seg
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values1 = self.xaxis_set1
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values2 = self.xaxis_set2
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ind = np.arange(n) + .15
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width = 0.3
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plt.barh(
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ind,
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values1,
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width,
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color=self.color[0],
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label=self.label[0])
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plt.barh(
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ind,
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values2,
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width,
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left=sumzip(values1),
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color=self.color[1],
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label=self.label[1])
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extra_space = 0.15
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ax.set_yticks(ind + width - extra_space)
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ax.set_yticklabels(self.yaxis_set)
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ax.yaxis.set_tick_params(length=0, labelbottom=True)
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for i, v in enumerate(values1):
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if v != 0:
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plt.text(v * 0.45, i + .145, "%s%s" % (v, self.unit), color='white', fontweight='bold', fontsize=10,
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ha='center', va='center')
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for i, v in enumerate(values2):
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if v != 0:
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plt.text(v * 0.45 + values1[i], i + .145, "%s%s" % (v, self.unit), color='white', fontweight='bold',
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fontsize=10,
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ha='center', va='center')
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ax.spines['right'].set_visible(False)
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ax.spines['top'].set_visible(False)
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ax.legend(loc='upper right')
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if self.disable_xaxis:
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plt.tick_params(
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axis='x',
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which='both',
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bottom=False,
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top=False,
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labelbottom=False) # disable x-axis
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plt.savefig("%s.png" % self.graph_image_name, dpi=96)
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plt.close()
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print("{}.png".format(self.graph_image_name))
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if self.enable_csv:
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self.lf_csv.columns = self.label
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self.lf_csv.rows = self.data_set
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self.lf_csv.filename = f"{self.graph_image_name}.csv"
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self.lf_csv.generate_csv()
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return "%s.png" % self.graph_image_name
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class lf_line_graph:
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def __init__(self, _data_set=None,
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_xaxis_name="x-axis",
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_yaxis_name="y-axis",
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_xaxis_categories=None,
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_xaxis_label=None,
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_graph_title="",
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_title_size=16,
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_graph_image_name="image_name",
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_label=None,
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_font_weight='bold',
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_color=None,
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_figsize=(10, 5),
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_xaxis_step=5,
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_xticks_font=None,
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_text_font=None,
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_legend_handles=None,
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_legend_loc="best",
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_legend_box=None,
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_legend_ncol=1,
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_legend_fontsize=None,
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_marker=None,
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_dpi=96,
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_enable_csv=False):
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if _data_set is None:
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_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]]
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if _xaxis_categories is None:
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_xaxis_categories = [1, 2, 3, 4, 5]
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if _xaxis_label is None:
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_xaxis_label = ["a", "b", "c", "d", "e"]
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if _label is None:
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_label = ["bi-downlink", "bi-uplink", 'uplink']
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if _color is None:
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_color = ['forestgreen', 'c', 'r', 'g', 'b', 'p']
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self.data_set = _data_set
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self.xaxis_name = _xaxis_name
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self.yaxis_name = _yaxis_name
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self.xaxis_categories = _xaxis_categories
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|
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):
|
|
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)
|
|
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
|
|
|
|
|
|
class lf_bar_graph_horizontal:
|
|
def __init__(self, _data_set=None,
|
|
_xaxis_name="x-axis",
|
|
_yaxis_name="y-axis",
|
|
_yaxis_categories=None,
|
|
_yaxis_label=None,
|
|
_graph_title="",
|
|
_title_size=16,
|
|
_graph_image_name="image_name",
|
|
_label=None,
|
|
_color=None,
|
|
_bar_height=0.25,
|
|
_color_edge='grey',
|
|
_font_weight='bold',
|
|
_color_name=None,
|
|
_figsize=(10, 5),
|
|
_show_bar_value=False,
|
|
_yaxis_step=1,
|
|
_yticks_font=None,
|
|
_yaxis_value_location=0,
|
|
_yticks_rotation=None,
|
|
_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,
|
|
_remove_border=None,
|
|
_alignment=None
|
|
):
|
|
|
|
if _data_set is None:
|
|
_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]]
|
|
if _yaxis_categories is None:
|
|
_yaxis_categories = [1, 2, 3, 4]
|
|
if _yaxis_label is None:
|
|
_yaxis_label = ["a", "b", "c", "d"]
|
|
if _label is None:
|
|
_label = ["bi-downlink", "bi-uplink", 'uplink']
|
|
if _color_name is None:
|
|
_color_name = ['lightcoral', 'darkgrey', 'r', 'g', 'b', 'y']
|
|
self.data_set = _data_set
|
|
self.xaxis_name = _xaxis_name
|
|
self.yaxis_name = _yaxis_name
|
|
self.yaxis_categories = _yaxis_categories
|
|
self.yaxis_label = _yaxis_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_height = _bar_height
|
|
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.yaxis_step = _yaxis_step
|
|
self.yticks_font = _yticks_font
|
|
self._yaxis_value_location = _yaxis_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
|
|
self.remove_border = _remove_border
|
|
self.alignment = _alignment
|
|
self.yticks_rotation = _yticks_rotation
|
|
|
|
def build_bar_graph_horizontal(self):
|
|
if self.color is None:
|
|
i = 0
|
|
self.color = []
|
|
for _ in self.data_set:
|
|
self.color.append(self.color_name[i])
|
|
i = i + 1
|
|
|
|
fig_size, ax = plt.subplots(figsize=self.figsize, gridspec_kw=self.alignment)
|
|
i = 0
|
|
# to remove the borders
|
|
if self.remove_border is not None:
|
|
for border in self.remove_border:
|
|
ax.spines[border].set_color(None)
|
|
if 'left' in self.remove_border: # to remove the y-axis labeling
|
|
yaxis_visable = False
|
|
else:
|
|
yaxis_visable = True
|
|
ax.yaxis.set_visible(yaxis_visable)
|
|
|
|
def show_value(rectangles):
|
|
for rect in rectangles:
|
|
w = rect.get_width()
|
|
y = rect.get_y()
|
|
h = rect.get_height()
|
|
x = rect.get_x()
|
|
# adding 1 may not always work based on the x axis scale may need to be configurable
|
|
plt.text(w + 1, rect.get_y() + rect.get_height() / 4., w,
|
|
ha='center', va='bottom', rotation=self.text_rotation, fontsize=self.text_font)
|
|
|
|
for _ in self.data_set:
|
|
if i > 0:
|
|
br = br1
|
|
br2 = [y + self.bar_height for y in br]
|
|
rects = plt.barh(br2, self.data_set[i], color=self.color[i], height=self.bar_height,
|
|
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.barh(br1, self.data_set[i], color=self.color[i], height=self.bar_height,
|
|
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.yaxis_categories[0] == 0:
|
|
plt.yticks(np.arange(0,
|
|
len(self.yaxis_categories),
|
|
step=self.yaxis_step),
|
|
fontsize=self.yticks_font, rotation=self.yticks_rotation)
|
|
else:
|
|
plt.yticks(
|
|
[i + self._yaxis_value_location for i in np.arange(0, len(self.data_set[0]), step=self.yaxis_step)],
|
|
self.yaxis_categories, fontsize=self.yticks_font, rotation=self.yticks_rotation)
|
|
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)
|
|
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.yaxis_categories is not None:
|
|
if len(self.yaxis_categories) == len(self.data_set[0]):
|
|
self.lf_csv.columns = []
|
|
self.lf_csv.rows = []
|
|
self.lf_csv.columns.append(self.yaxis_name)
|
|
self.lf_csv.columns.extend(self.label)
|
|
self.lf_csv.rows.append(self.yaxis_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
|
|
|
|
|
|
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 = """
|
|
<img align='center' style='padding:15;margin:5;width:1000px;' src=""" + "%s" % (graph.build_bar_graph()) + """ border='1' />
|
|
<br><br>
|
|
"""
|
|
#
|
|
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 = """
|
|
<img align='center' style='padding:15;margin:5;width:1000px;' src=""" + "%s" % (graph.build_bar_graph()) + """ border='1' />
|
|
<br><br>
|
|
"""
|
|
#
|
|
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()
|