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https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
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a8b76143d5
lf_qa.py : initial work reporting broken links Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>
766 lines
32 KiB
Python
Executable File
766 lines
32 KiB
Python
Executable File
#!/usr/bin/env python3
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'''
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File: read kpi.csv place in sql database, create png of historical kpi and present graph on dashboard
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Usage: lf_qa.py --store --png --show --path <path to directories to traverse> --database <name of database>
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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 plotly.express as px
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import pandas as pd
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import sqlite3
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import argparse
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from pathlib import Path
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import time
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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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# Any style components can be used
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external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
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class csv_sql:
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def __init__(self,
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_path='.',
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_file='kpi.csv',
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_database='qa_db',
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_table='qa_table',
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_server='',
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_cut='/home/lanforge/',
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_png=False):
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self.path = _path
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self.file = _file
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self.database = _database
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self.table = _table
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self.server = _server
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self.cut = _cut
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self.png = _png
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self.kpi_list = []
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self.html_list = []
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self.conn = None
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self.df = pd.DataFrame()
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self.plot_figure = []
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self.html_results = ""
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self.test_rig_list = []
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self.dut_model_num_list = "NA"
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self.dut_model_num = "NA"
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self.dut_sw_version_list = "NA"
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self.dut_sw_version = "NA"
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self.dut_hw_version_list = "NA"
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self.dut_hw_version = "NA"
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self.dut_serial_num_list = "NA"
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self.dut_serial_num = "NA"
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self.subtest_passed = 0
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self.subtest_failed = 0
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self.subtest_total = 0
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self.test_run = ""
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# Helper methods
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def get_test_rig_list(self):
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return self.test_rig_list
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def get_html_results(self):
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return self.html_results
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def get_dut_info(self):
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# try:
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print(
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"get_dut_info DUT: {DUT} SW:{SW} HW:{HW} SN:{SN}" .format(
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DUT=self.dut_model_num,
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SW=self.dut_sw_version,
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HW=self.dut_hw_version,
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SN=self.dut_serial_num))
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dut_dict = {
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'DUT': [self.dut_model_num],
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'SW version': [self.dut_sw_version],
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'HW version': [self.dut_hw_version],
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'SN': [self.dut_serial_num]
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}
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print('DUT dict: {dict}'.format(dict=dut_dict))
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dut_info_df = pd.DataFrame(dut_dict)
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print("DUT df from dict: {df}".format(df=dut_info_df))
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return dut_info_df
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def get_parent_path(self, _path):
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parent_path = os.path.dirname(_path)
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return parent_path
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def get_test_id_test_tag(self, _kpi_path):
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test_id = "NA"
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test_tag = "NA"
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use_meta_test_tag = False
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try:
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kpi_df = pd.read_csv(_kpi_path, sep='\t')
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test_id_list = list(kpi_df['test-id'])
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test_id = list(set(test_id_list))
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test_id = test_id[-1] # done to get element of list
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except BaseException:
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print(
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"exception reading test_id in csv _kpi_path {kpi_path}".format(
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kpi_path=_kpi_path))
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try:
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test_tag_list = list(kpi_df['test-tag'])
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test_tag = list(set(test_tag_list))
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test_tag = test_tag[-1] # done to get element of list
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except BaseException:
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print(
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"exception reading test-tag in csv _kpi_path {kpi_path}, try meta.txt".format(
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kpi_path=_kpi_path))
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# if test_tag still NA then try meta file
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try:
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if test_tag == "NA":
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_kpi_path = _kpi_path.replace('kpi.csv', '')
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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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except BaseException:
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print("exception reading meta.txt _kpi_path: {kpi_path}".format(
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kpi_path=_kpi_path))
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if use_meta_test_tag:
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print("test_tag from meta.txt _kpi_path: {kpi_path}".format(
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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 == "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=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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gui_version_5_4_3 = False
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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 "gui_version:" in line:
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gui_version = line.replace("lanforge_gui_version:", "")
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gui_version = gui_version.strip()
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if gui_version == '5.4.3':
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gui_version_5_4_3 = True
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use_meta_test_tag = True
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print("meta_data_path: {meta_data_path} lanforge_gui_version: {gui_version} 5.4.3: {gui_version_5_4_3}".format(
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meta_data_path=meta_data_path, gui_version=gui_version, gui_version_5_4_3=gui_version_5_4_3))
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meta_data_fd.close()
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if gui_version_5_4_3:
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meta_data_fd = open(meta_data_path, 'r')
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test_tag = 'NA'
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for line in meta_data_fd:
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if "test_tag" in line:
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test_tag = line.replace("test_tag", "")
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test_tag = test_tag.strip()
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print(
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"meta_data_path {meta_data_path} test_tag {test_tag}".format(
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meta_data_path=meta_data_path,
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test_tag=test_tag))
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meta_data_fd.close()
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except BaseException:
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print("exception reading test_tag from {_kpi_path}".format(
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_kpi_path=_kpi_path))
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return use_meta_test_tag, test_tag
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def get_suite_html(self):
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suite_html_results = """
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<table class="dataframe" border="1">
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<thead>
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<tr style="text-align: center;">
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<th>Test</th>
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<th>Test_Tag</th>
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<th>Links</th>
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</tr>
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</thead>
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<tbody>
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"""
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path = Path(self.path)
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pdf_info_list = list(path.glob('**/*.pdf')) # Hard code for now
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print("pdf_info_list {}".format(pdf_info_list))
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for pdf_info in pdf_info_list:
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if "lf_qa" in str(pdf_info):
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pass
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else:
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pdf_base_name = os.path.basename(pdf_info)
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if "check" in str(pdf_base_name):
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pass
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else:
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parent_path = os.path.dirname(pdf_info)
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pdf_path = os.path.join(parent_path, pdf_base_name)
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pdf_path = self.server + pdf_path.replace(self.cut, '')
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html_path = os.path.join(parent_path, "index.html")
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html_path = self.server + html_path.replace(self.cut, '')
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kpi_path = os.path.join(parent_path, "kpi.csv")
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test_id, test_tag = self.get_test_id_test_tag(kpi_path)
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suite_html_results += """
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<tr style="text-align: center; margin-bottom: 0; margin-top: 0;">
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<td>{test_id}</td><td>{test_tag}</td><td><a href="{html_path}" target="_blank">html</a> / <a href="{pdf_path}" target="_blank">pdf</a></td></tr>
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""".format(test_id=test_id, test_tag=test_tag, html_path=html_path, pdf_path=pdf_path)
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suite_html_results += """
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</tbody>
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</table>
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<br>
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"""
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return suite_html_results
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def get_kpi_chart_html(self):
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kpi_chart_html = """
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<table border="0">
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<tbody>
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"""
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path = Path(self.path)
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# Hard code for now
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kpi_chart_list = list(path.glob('**/kpi-chart*.png'))
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table_index = 0
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for kpi_chart in kpi_chart_list:
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parent_path = os.path.dirname(kpi_chart)
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kpi_path = os.path.join(parent_path, "kpi.csv")
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test_tag, test_id = self.get_test_id_test_tag(kpi_path)
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# Path returns a list of objects
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kpi_chart = os.path.abspath(kpi_chart)
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kpi_chart = self.server + kpi_chart.replace(self.cut, '')
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if "print" in kpi_chart:
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pass
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else:
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if (table_index % 2) == 0:
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kpi_chart_html += """<tr>"""
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kpi_chart_html += """
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<td>
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{test_tag} {test_id}
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</td>
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<td>
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<a href="{kpi_chart_0}" target="_blank">
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<img src="{kpi_chart_1}" style="width:400px;max-width:400px" title="{kpi_chart_2}">
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</a>
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</td>
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""".format(test_tag=test_tag, test_id=test_id, kpi_chart_0=kpi_chart, kpi_chart_1=kpi_chart, kpi_chart_2=kpi_chart)
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table_index += 1
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if (table_index % 2) == 0:
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kpi_chart_html += """</tr>"""
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if (table_index % 2) != 0:
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kpi_chart_html += """</tr>"""
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kpi_chart_html += """</tbody></table>"""
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return kpi_chart_html
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# information on sqlite database
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# https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_sql.html
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# sqlite browser:
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# Fedora sudo dnf install sqlitebrowser
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# Ubuntu sudo apt-get install sqlite3
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#
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def store(self):
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print("reading kpi and storing in db {}".format(self.database))
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path = Path(self.path)
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self.kpi_list = list(path.glob('**/kpi.csv')) # Hard code for now
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if not self.kpi_list:
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print("WARNING: used --store , no new kpi.csv found, check input path or remove --store from command line")
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for kpi in self.kpi_list: # TODO note empty kpi.csv failed test
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df_kpi_tmp = pd.read_csv(kpi, sep='\t')
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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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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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self.df = self.df.append(df_kpi_tmp, ignore_index=True)
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self.conn = sqlite3.connect(self.database)
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try:
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self.df.to_sql(self.table, self.conn, if_exists='append')
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except BaseException:
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print("attempt to append to database with different column layout,\
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caused an exception, input new name --database <new name>")
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print(
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"Error attempt to append to database with different column layout,\
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caused an exception, input new name --database <new name>",
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file=sys.stderr)
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exit(1)
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self.conn.close()
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def generate_png(self, group, test_id_list, test_tag,
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test_rig, kpi_path_list, kpi_fig, df_tmp):
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# save the figure - figures will be over written png
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# for testing
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png_server_img = ''
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# generate the png files
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print("generate png and kpi images from kpi kpi_path:{}".format(
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df_tmp['kpi_path']))
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# generate png img path
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png_path = os.path.join(
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kpi_path_list[-1], "{}_{}_{}_kpi.png".format(group, test_tag, test_rig))
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png_path = png_path.replace(' ', '')
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# generate html graphics path
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html_path = os.path.join(
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kpi_path_list[-1], "{}_{}_{}_kpi.html".format(group, test_tag, test_rig))
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html_path = html_path.replace(' ', '')
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# NOTE: html links to png do not like spaces
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png_server_img = self.server + png_path.replace(self.cut, '')
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# generate png image
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try:
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kpi_fig.write_image(png_path, scale=1, width=1200, height=300)
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except ValueError as err:
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print("{msg}".format(msg=err))
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print("exiting")
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exit(1)
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except BaseException as err:
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print("{msg}".format(msg=err))
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print("exiting")
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exit(1)
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# generate html image (interactive)
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kpi_fig.write_html(html_path)
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img_kpi_html_path = self.server + html_path
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img_kpi_html_path = img_kpi_html_path.replace(self.cut, '')
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self.html_results += """
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<a href={img_kpi_html_path} target="_blank">
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<img src={png_server_img}>
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</a>
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""".format(img_kpi_html_path=img_kpi_html_path, png_server_img=png_server_img)
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# link to interactive results
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kpi_html_path = self.server + html_path
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kpi_html_path = kpi_html_path.replace(self.cut, '')
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# self.html_results +="""<br>"""
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# link to full test results
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report_index_html_path = self.server + kpi_path_list[-1] + "index.html"
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report_index_html_path = report_index_html_path.replace(self.cut, '')
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self.html_results += """<a href={report_index_html_path} target="_blank">{test_id}_{group}_{test_tag}_{test_rig}_Report </a>
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""".format(report_index_html_path=report_index_html_path, test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig)
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self.html_results += """<br>"""
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self.html_results += """<br>"""
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self.html_results += """<br>"""
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self.html_results += """<br>"""
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self.html_results += """<br>"""
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# TODO determin the subtest pass and fail graph
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# df is sorted by date oldest to newest
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# get the test_run for last run
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# query the db for all pass and fail or last run
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# put in table
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def sub_test_information(self):
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print("generate table and graph from subtest data per run: {}".format(
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time.time()))
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# https://datacarpentry.org/python-ecology-lesson/09-working-with-sql/index.html-
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self.conn = sqlite3.connect(self.database)
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# current connection is sqlite3 /TODO move to SQLAlchemy
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df3 = pd.read_sql_query(
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"SELECT * from {}".format(self.table), self.conn)
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# sort by date from oldest to newest.
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try:
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df3 = df3.sort_values(by='Date')
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except BaseException:
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print(("Database empty reading subtest: "
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"KeyError(key) when sorting by Date for db: {db},"
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" check Database name, path to kpi, typo in path, exiting".format(db=self.database)))
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exit(1)
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self.conn.close()
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# test_run are used for detemining the subtest-pass, subtest-fail
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test_run_list = list(df3['test_run'])
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print("test_run_list first [0] {}".format(test_run_list[0]))
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print("test_run_list last [-1] {}".format(test_run_list[-1]))
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test_run_list = list(sorted(set(test_run_list)))
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print("test_run_list first [0] {}".format(test_run_list[0]))
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print("test_run_list last [-1] {}".format(test_run_list[-1]))
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self.test_run = test_run_list[-1]
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# collect this runs subtest totals
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df_tmp = df3.loc[df3['test_run'] == self.test_run ]
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subtest_passed_list = list(df_tmp['Subtest-Pass'])
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subtest_failed_list = list(df_tmp['Subtest-Fail'])
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try:
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self.subtest_passed = int(sum(subtest_passed_list))
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self.subtest_failed = int(sum(subtest_failed_list))
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self.subtest_total = self.subtest_passed + self.subtest_failed
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except BaseException:
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warning_msg = ("WARNING subtest values need to be filtered or"
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" Test is not behaving in filling out subtest values")
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print ("{warn}".format(warn=warning_msg),file=sys.stderr)
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print ("{warn}".format(warn=warning_msg),file=sys.stdout)
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self.subtest_passed = 0
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self.subtest_failed = 0
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self.subtest_total = 0
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print("{run} subtest Total:{total} Pass:{passed} Fail:{failed}".format(
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run=self.test_run, total=self.subtest_total,passed=self.subtest_passed,failed=self.subtest_failed
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))
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|
|
# extract the DUT information from last run
|
|
self.dut_model_num_list = list(set(list(df_tmp['dut-model-num'])))
|
|
self.dut_model_num_list = [x for x in self.dut_model_num_list if x is not None]
|
|
if self.dut_model_num_list:
|
|
self.dut_model_num = self.dut_model_num_list[-1]
|
|
|
|
self.dut_sw_version_list = list(set(list(df_tmp['dut-sw-version'])))
|
|
self.dut_sw_version_list = [x for x in self.dut_sw_version_list if x is not None]
|
|
if self.dut_sw_version_list:
|
|
self.dut_sw_version = self.dut_sw_version_list[-1]
|
|
|
|
self.dut_hw_version_list = list(set(list(df_tmp['dut-hw-version'])))
|
|
self.dut_hw_version_list = [x for x in self.dut_hw_version_list if x is not None]
|
|
if self.dut_hw_version_list:
|
|
self.dut_hw_version = self.dut_hw_version_list[-1]
|
|
|
|
self.dut_serial_num_list = list(set(list(df_tmp['dut-serial-num'])))
|
|
self.dut_serial_num_list = [x for x in self.dut_serial_num_list if x is not None]
|
|
if self.dut_serial_num_list:
|
|
self.dut_serial_num = self.dut_serial_num_list[-1]
|
|
|
|
print(
|
|
"In png DUT: {DUT} SW:{SW} HW:{HW} SN:{SN}" .format(
|
|
DUT=self.dut_model_num,
|
|
SW=self.dut_sw_version,
|
|
HW=self.dut_hw_version,
|
|
SN=self.dut_serial_num))
|
|
|
|
|
|
|
|
|
|
def generate_graph_png(self):
|
|
print(
|
|
"generate png and html to display, generate time: {}".format(
|
|
time.time()))
|
|
|
|
# https://datacarpentry.org/python-ecology-lesson/09-working-with-sql/index.html-
|
|
self.conn = sqlite3.connect(self.database)
|
|
# current connection is sqlite3 /TODO move to SQLAlchemy
|
|
df3 = pd.read_sql_query(
|
|
"SELECT * from {}".format(self.table), self.conn)
|
|
# sort by date from oldest to newest.
|
|
try:
|
|
df3 = df3.sort_values(by='Date')
|
|
except BaseException:
|
|
print("Database empty: KeyError(key) when sorting by Date, check Database name, path to kpi, typo in path, exiting")
|
|
exit(1)
|
|
self.conn.close()
|
|
|
|
# graph group and test-tag are used for detemining the graphs, can use any columns
|
|
# the following list manipulation removes the duplicates
|
|
graph_group_list = list(df3['Graph-Group'])
|
|
graph_group_list = [x for x in graph_group_list if x is not None]
|
|
graph_group_list = list(set(graph_group_list))
|
|
print("graph_group_list: {}".format(graph_group_list))
|
|
|
|
# prior to 5.4.3 there was not test-tag, the test tag is in the meta data
|
|
# print("dataframe df3 {df3}".format(df3=df3))
|
|
|
|
test_tag_list = list(df3['test-tag'])
|
|
test_tag_list = [x for x in test_tag_list if x is not None]
|
|
test_tag_list = list(sorted(set(test_tag_list)))
|
|
# print("test_tag_list: {}".format(test_tag_list) )
|
|
|
|
test_rig_list = list(df3['test-rig'])
|
|
test_rig_list = [x for x in test_rig_list if x is not None]
|
|
test_rig_list = list(sorted(set(test_rig_list)))
|
|
self.test_rig_list = test_rig_list
|
|
print("test_rig_list: {}".format(test_rig_list))
|
|
|
|
|
|
# create the rest of the graphs
|
|
for test_rig in test_rig_list:
|
|
for test_tag in test_tag_list:
|
|
for group in graph_group_list:
|
|
df_tmp = df3.loc[(df3['test-rig'] == test_rig) & (
|
|
df3['Graph-Group'] == str(group)) & (df3['test-tag'] == str(test_tag))]
|
|
if not df_tmp.empty:
|
|
# Note if graph group is score there is sub tests for pass and fail
|
|
# would like a percentage
|
|
|
|
df_tmp = df_tmp.sort_values(by='Date')
|
|
test_id_list = list(df_tmp['test-id'])
|
|
kpi_path_list = list(df_tmp['kpi_path'])
|
|
|
|
# get Device Under Test Information ,
|
|
# the set command uses a hash , sorted puts it back in order
|
|
# the set reduces the redundency the filster removes None
|
|
# list puts it back into a list
|
|
# This code is since the dut is not passed in to lf_qa.py when
|
|
# regernation of graphs from db
|
|
|
|
units_list = list(df_tmp['Units'])
|
|
print(
|
|
"GRAPHING::: test-rig {} test-tag {} Graph-Group {}".format(test_rig, test_tag, group))
|
|
# group of Score will have subtest
|
|
if group == 'Score':
|
|
# Print out the Standard Score report
|
|
kpi_fig = (
|
|
px.scatter(
|
|
df_tmp,
|
|
x="Date",
|
|
y="numeric-score",
|
|
custom_data=[
|
|
'numeric-score',
|
|
'Subtest-Pass',
|
|
'Subtest-Fail'],
|
|
color="short-description",
|
|
hover_name="short-description",
|
|
size_max=60)).update_traces(
|
|
mode='lines+markers')
|
|
|
|
kpi_fig.update_traces(
|
|
hovertemplate="<br>".join([
|
|
"numeric-score: %{customdata[0]}",
|
|
"Subtest-Pass: %{customdata[1]}",
|
|
"Subtest-Fail: %{customdata[2]}"
|
|
])
|
|
)
|
|
|
|
kpi_fig.update_layout(
|
|
title="{test_id} : {group} : {test_tag} : {test_rig}".format(
|
|
test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig),
|
|
xaxis_title="Time",
|
|
yaxis_title="{}".format(units_list[-1]),
|
|
xaxis={'type': 'date'}
|
|
)
|
|
kpi_fig.update_layout(autotypenumbers='convert types')
|
|
|
|
self.generate_png(df_tmp=df_tmp,
|
|
group=group,
|
|
test_id_list=test_id_list,
|
|
test_tag=test_tag,
|
|
test_rig=test_rig,
|
|
kpi_path_list=kpi_path_list,
|
|
kpi_fig=kpi_fig)
|
|
|
|
else:
|
|
kpi_fig = (
|
|
px.scatter(
|
|
df_tmp,
|
|
x="Date",
|
|
y="numeric-score",
|
|
color="short-description",
|
|
hover_name="short-description",
|
|
size_max=60)).update_traces(
|
|
mode='lines+markers')
|
|
|
|
kpi_fig.update_layout(
|
|
title="{test_id} : {group} : {test_tag} : {test_rig}".format(
|
|
test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig),
|
|
xaxis_title="Time",
|
|
yaxis_title="{units}".format(units=units_list[-1]),
|
|
xaxis={'type': 'date'}
|
|
)
|
|
kpi_fig.update_layout(autotypenumbers='convert types')
|
|
|
|
|
|
self.generate_png(df_tmp=df_tmp,
|
|
group=group,
|
|
test_id_list=test_id_list,
|
|
test_tag=test_tag,
|
|
test_rig=test_rig,
|
|
kpi_path_list=kpi_path_list,
|
|
kpi_fig=kpi_fig)
|
|
|
|
|
|
# Feature, Sum up the subtests passed/failed from the kpi files for each
|
|
# run, poke those into the database, and generate a kpi graph for them.
|
|
def main():
|
|
|
|
parser = argparse.ArgumentParser(
|
|
prog='lf_qa.py',
|
|
formatter_class=argparse.RawTextHelpFormatter,
|
|
epilog='''\
|
|
read kpi.csv into sqlite database , save png of history and preset on dashboard
|
|
|
|
''',
|
|
description='''\
|
|
File: read kpi.csv place in sql database, create png of historical kpi and present graph on dashboard
|
|
Usage: lf_qa.py --store --png --path <path to directories to traverse> --database <name of database>
|
|
|
|
''')
|
|
parser.add_argument(
|
|
'--path',
|
|
help='--path top directory path to kpi if regererating database or png files',
|
|
default='')
|
|
parser.add_argument('--file', help='--file kpi.csv default: kpi.csv',
|
|
default='kpi.csv') # TODO is this needed
|
|
parser.add_argument(
|
|
'--database',
|
|
help='--database qa_test_db default: qa_test_db',
|
|
default='qa_test_db')
|
|
parser.add_argument(
|
|
'--table',
|
|
help='--table qa_table default: qa_table',
|
|
default='qa_table')
|
|
parser.add_argument(
|
|
'--server',
|
|
help="--server http://<server ip>/ example: http://192.168.95.6/ default: ''",
|
|
default='')
|
|
parser.add_argument(
|
|
'--cut',
|
|
help='--cut /home/lanforge/ used to adjust server path default: /home/lanforge/',
|
|
default='/home/lanforge/')
|
|
parser.add_argument(
|
|
'--store',
|
|
help='--store , store kpi to db, action store_true',
|
|
action='store_true')
|
|
parser.add_argument(
|
|
'--png',
|
|
help='--png, generate png for kpi in path, generate display, action store_true',
|
|
action='store_true')
|
|
parser.add_argument(
|
|
'--dir',
|
|
help="--dir <results directory> default lf_qa",
|
|
default="lf_qa")
|
|
|
|
args = parser.parse_args()
|
|
|
|
__path = args.path
|
|
__file = args.file
|
|
__database = args.database
|
|
__table = args.table
|
|
__server = args.server
|
|
__png = args.png
|
|
__dir = args.dir
|
|
__cut = args.cut
|
|
|
|
print("config:\
|
|
path:{path} file:{file}\
|
|
database:{database} table:{table} \
|
|
server:{server} store:{store} png:{png}" .format(
|
|
path=__path, file=__file,
|
|
database=__database, table=__table,
|
|
server=__server, store=args.store, png=args.png))
|
|
|
|
if __path == '' and args.store:
|
|
print("--path <path of kpi.csv> must be entered if --store , exiting")
|
|
exit(1)
|
|
elif not args.store:
|
|
if args.png:
|
|
print("if --png set to create png files from database")
|
|
elif not args.png:
|
|
print("Need to enter an action of --store --png ")
|
|
exit(1)
|
|
|
|
|
|
# create report class for reporting
|
|
report = lf_report(_path=__path,
|
|
_results_dir_name=__dir,
|
|
_output_html="lf_qa.html",
|
|
_output_pdf="lf_qa.pdf")
|
|
|
|
csv_dash = csv_sql(
|
|
_path=__path,
|
|
_file=__file,
|
|
_database=__database,
|
|
_table=__table,
|
|
_server=__server,
|
|
_cut=__cut,
|
|
_png=__png)
|
|
# csv_dash.sub_test_information()
|
|
|
|
if args.store:
|
|
csv_dash.store()
|
|
if args.png:
|
|
csv_dash.sub_test_information()
|
|
csv_dash.generate_graph_png()
|
|
|
|
# generate output reports
|
|
report.set_title("LF QA: Verification Test Run")
|
|
report.build_banner_left()
|
|
report.start_content_div2()
|
|
report.set_obj_html("Objective", "QA Verification")
|
|
report.build_objective()
|
|
report.set_table_title("Device Under Test")
|
|
report.build_table_title()
|
|
dut_info_df = csv_dash.get_dut_info()
|
|
print("DUT Results: {}".format(dut_info_df))
|
|
report.set_table_dataframe(dut_info_df)
|
|
report.build_table()
|
|
|
|
test_rig_list = csv_dash.get_test_rig_list()
|
|
# keep the list, currently one test bed results
|
|
report.set_table_title("Test Rig: {} Links".format(test_rig_list[-1]))
|
|
report.build_table_title()
|
|
|
|
pdf_link_path = report.get_pdf_path()
|
|
pdf_link_path = __server + pdf_link_path.replace(__cut, '')
|
|
report.build_pdf_link("PDF_Report", pdf_link_path)
|
|
|
|
report_path = report.get_path()
|
|
report_path = __server + report_path.replace(__cut, '')
|
|
report.build_link("Current Test Suite Results Directory", report_path)
|
|
|
|
report_parent_path = report.get_parent_path()
|
|
report_parent_path = __server + report_parent_path.replace(__cut, '')
|
|
report.build_link(
|
|
"All Test-Rig Test Suites Results Directory", report_parent_path)
|
|
|
|
# links table for tests TODO : can this be a table
|
|
report.set_table_title("Test Suite")
|
|
report.build_table_title()
|
|
suite_html = csv_dash.get_suite_html()
|
|
print("suite_html {}".format(suite_html))
|
|
report.set_custom_html(suite_html)
|
|
report.build_custom()
|
|
|
|
# sub test summary
|
|
lf_subtest_summary = pd.DataFrame()
|
|
lf_subtest_summary['Subtest Total'] = [csv_dash.subtest_total]
|
|
lf_subtest_summary['Subtest Passed'] = [csv_dash.subtest_passed]
|
|
lf_subtest_summary['Subtest Falied'] = [csv_dash.subtest_failed]
|
|
|
|
report.set_table_title("Suite Subtest Summary")
|
|
report.build_table_title()
|
|
report.set_table_dataframe(lf_subtest_summary)
|
|
report.build_table()
|
|
|
|
# png summary of test
|
|
report.set_table_title("Suite Summary")
|
|
report.build_table_title()
|
|
kpi_chart_html = csv_dash.get_kpi_chart_html()
|
|
report.set_custom_html(kpi_chart_html)
|
|
report.build_custom()
|
|
|
|
report.set_table_title("QA Test Results")
|
|
report.build_table_title()
|
|
# report.set_text("QA broken links, check if server correct: {server} example --server 'http:/192.168.0.101/".format(server=__server))
|
|
report.build_text()
|
|
html_results = csv_dash.get_html_results()
|
|
report.set_custom_html(html_results)
|
|
report.build_custom()
|
|
report.build_footer()
|
|
html_report = report.write_html_with_timestamp()
|
|
print("html report: {}".format(html_report))
|
|
try:
|
|
report.write_pdf_with_timestamp()
|
|
except BaseException:
|
|
print("exception write_pdf_with_timestamp()")
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|