mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
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88b2b7b18a
meta data issues Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>
592 lines
28 KiB
Python
Executable File
592 lines
28 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: kpi_csv_sq.py --store --png --show --path <path to directories to traverse> --database <name of database>
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Example: kpi_csv_sq.py --show (show dashboard generated from database)
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Example: kpi_csv_sq.py --store --png --show --path <path to read kpi.csv> (read kpi.csv store to database, write png, show dashboard )
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'''
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# visit http://127.0.0.1:8050/ in your web browser.
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import sys
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import os
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import dash
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import dash_core_components as dcc
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import dash_html_components as html
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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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# lf_report is from the parent of the current file
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dir_path = os.path.dirname(os.path.realpath(__file__))
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parent_dir_path = os.path.abspath(os.path.join(dir_path, os.pardir))
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sys.path.insert(0, parent_dir_path)
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from lf_report import lf_report
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sys.path.append('/')
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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_sqlite_dash():
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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 = 'http://192.168.95.6/',
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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.png_generated = False
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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.children_div = []
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self.html_results =""
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self.test_rig_list = []
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self.server_html_reports = self.server + 'html-reports/' #TODO : hard coded - is this needed? have server
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self.server_started = False
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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.app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
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# https://community.plotly.com/t/putting-a-dash-instance-inside-a-class/6097/3
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#https://dash.plotly.com/dash-html-components/button
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#self.app.callback(dash.dependencies.Output('container-button-basic', 'children'),
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# [dash.dependencies.Input(component_id ='submit-val', component_property ='n_clicks')])(self.show)
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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("get_dut_info DUT: {DUT} SW:{SW} HW:{HW} SN:{SN}"
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.format(DUT=self.dut_model_num,SW=self.dut_sw_version,HW=self.dut_hw_version,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_tag = "NA"
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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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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:
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print("exception reading csv _kpi_path {}".format(_kpi_path))
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return test_id , test_tag
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# could enter on the command line, except there may be other exceptions
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# may need an exception file
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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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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("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} 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("meta_data_path {meta_data_path} test_tag {test_tag}".format(meta_data_path=meta_data_path,test_tag=test_tag))
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meta_data_fd.close()
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except:
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print("exception reading test_tag from {_kpi_path}".format(_kpi_path=_kpi_path))
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return use_meta_test_tag, test_tag
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#TODO pass in list to lf_report
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# <table border="1" class="dataframe">
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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>{}</td><td>{}</td><td><a href="{}" target="_blank">html</a> / <a href="{}" target="_blank">pdf</a></td></tr>
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""".format(test_id,test_tag,html_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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kpi_chart_list= list(path.glob('**/kpi-chart*.png')) # Hard code for now
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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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kpi_chart = os.path.abspath(kpi_chart) # Path returns a list of objects
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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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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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_kpi_path = str(kpi).replace('kpi.csv','') # only store the path to the kpi.csv file
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df_kpi_tmp['kpi_path'] = _kpi_path
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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:
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print("attempt to append to database with different column layout, casused exception, input new name --database <new name>")
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exit(1)
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self.conn.close()
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def generate_graph_png(self):
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print("generate png and html to display, generate time: {}".format(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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df3 = pd.read_sql_query("SELECT * from {}".format(self.table) ,self.conn) #current connection is sqlite3 /TODO move to SQLAlchemy
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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:
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print("Database empty: KeyError(key) when sorting by Date, check Database name, path to kpi, typo in path, exiting")
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exit(1)
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self.conn.close()
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# graph group and test-tag are used for detemining the graphs, can use any columns
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# the following list manipulation removes the duplicates
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graph_group_list = list(df3['Graph-Group'])
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graph_group_list = list(set(graph_group_list))
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print("graph_group_list: {}".format(graph_group_list))
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# prior to 5.4.3 there was not test-tag
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try:
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test_tag_list = list(df3['test-tag'])
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test_tag_list = list(set(test_tag_list))
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print("test_tag_list: {}".format(test_tag_list) )
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except:
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test_tag_list = ['NO_TAG_PRE_5.4.4']
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print("exception when creating test_tag_list: {}".format(test_tag_list) )
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print("Check database, exception when creating test_tag_list: {}".format(test_tag_list) )
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test_rig_list = list(df3['test-rig'])
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test_rig_list = list(set(test_rig_list))
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self.test_rig_list = test_rig_list
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print("test_rig_list: {}".format(test_rig_list) )
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self.children_div.append(html.A('html_reports', href=self.server_html_reports, target='_blank'))
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for test_rig in test_rig_list:
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for test_tag in test_tag_list:
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for group in graph_group_list:
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df_tmp = df3.loc[(df3['test-rig'] == test_rig) & (df3['Graph-Group'] == str(group)) & (df3['test-tag'] == str(test_tag))]
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if df_tmp.empty == False:
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df_tmp = df_tmp.sort_values(by='Date')
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test_id_list = list(df_tmp['test-id'])
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kpi_path_list = list(df_tmp['kpi_path'])
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# get Device Under Test Information ,
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# the set reduces the redundency , list puts it back into a list
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self.dut_model_num_list = list(set(list(df_tmp['dut-model-num'])))
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print("in png self.dut_model_num_list {dut_model_num_list}".format(dut_model_num_list=self.dut_model_num_list))
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if self.dut_model_num_list[0] != None:
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self.dut_model_num = self.dut_model_num_list[0]
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self.dut_sw_version_list = list(set(list(df_tmp['dut-sw-version'])))
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if self.dut_sw_version_list[0] != None:
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self.dut_sw_version = self.dut_sw_version_list[0]
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self.dut_hw_version_list = list(set(list(df_tmp['dut-hw-version'])))
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if self.dut_hw_version_list[0] != None:
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self.dut_hw_version = self.dut_hw_version_list[0]
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self.dut_serial_num_list = list(set(list(df_tmp['dut-serial-num'])))
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if self.dut_serial_num_list[0] != None:
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self.dut_serial_num_ = self.dut_serial_num_list[0]
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print("In png DUT: {DUT} SW:{SW} HW:{HW} SN:{SN}"
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.format(DUT=self.dut_model_num_list,SW=self.dut_sw_version_list,HW=self.dut_hw_version_list,SN=self.dut_serial_num_list))
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units_list = list(df_tmp['Units'])
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print("GRAPHING::: test-rig {} test-tag {} Graph-Group {}".format(test_rig,test_tag,group))
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kpi_fig = (px.scatter(df_tmp, x="Date", y="numeric-score",
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color="short-description", hover_name="short-description",
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size_max=60)).update_traces(mode='lines+markers')
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kpi_fig.update_layout(
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title="{} : {} : {} : {}".format(test_id_list[-1], group, test_tag, test_rig),
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xaxis_title="Time",
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yaxis_title="{}".format(units_list[-1]),
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xaxis = {'type' : 'date'}
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)
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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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#TODO work out when to generate the png files
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if self.png:
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if self.png_generated:
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pass
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else:
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print("generate png and kpi images from kpi kpi_path:{}".format(df_tmp['kpi_path']))
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# generate png img path
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png_path = os.path.join(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(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=350)
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except:
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print("ERROR: {database} Was correct database passed in, moved or duplicates of same name?".format(database=self.database))
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#https://plotly.com/python/interactive-html-export/
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# generate html image (interactive)
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kpi_fig.write_html(html_path)
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# generate link for dashboard
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self.children_div.append(html.Img(src=png_server_img))
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#HERE add clickable link
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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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# WARNING: DO NOT USE os.path.join will use the path for where the script is RUN which can be container.
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# Constructed path to server manually.
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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.children_div.append(html.Br())
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#self.html_results +="""<br>"""
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self.children_div.append(html.A('{test_id}_{group}_{test_tag}_{test_rig}_kpi.html'
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.format(test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig),
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href=kpi_html_path, target='_blank'))
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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.children_div.append(html.Br())
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#self.html_results +="""<br>"""
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self.children_div.append(html.A('{test_id}_{group}_{test_tag}_{test_rig}_report.html'
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.format(test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig),
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href=report_index_html_path, target='_blank'))
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self.html_results +="""<a href={report_index_html_path} target="_blank">{test_id}_{group}_{test_tag}_{test_rig}_Report </a>
|
|
""".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)
|
|
self.children_div.append(html.Br())
|
|
self.children_div.append(html.Br())
|
|
self.children_div.append(html.Br())
|
|
self.html_results +="""<br>"""
|
|
self.html_results +="""<br>"""
|
|
self.html_results +="""<br>"""
|
|
self.html_results +="""<br>"""
|
|
self.html_results +="""<br>"""
|
|
|
|
# TODO see if this stops the regenration of the graphs each time
|
|
self.png_generated = True
|
|
|
|
|
|
# access from server
|
|
# https://stackoverflow.com/questions/61678129/how-to-access-a-plotly-dash-app-server-via-lan
|
|
#def show(self,n_clicks):
|
|
def show(self):
|
|
# gererate dash display
|
|
#print("refreshes: {}".format(n_clicks))
|
|
self.generate_graph_png()
|
|
if not self.children_div:
|
|
print("NOTE: test-tag may not be present in the kpi thus no results generated")
|
|
print("show: {}".format(time.time()))
|
|
self.app.layout = html.Div([
|
|
html.Div(id='my-output'),
|
|
html.H1(children= "LANforge Testing",className="lanforge",
|
|
style={'color':'green','text-align':'center'}),
|
|
#For dash refresh # html.Button('Submit Recalculate',id='submit-val', n_clicks=0),
|
|
#For dash refresh # html.Div(id='container-button-basic', children='to recalculate hit submit'),
|
|
html.H2(children= "Results",className="ts1",
|
|
style={'color':'#00361c','text-align':'left'}),
|
|
# images_div is already a list, children = a list of html components
|
|
# remove scrolling : html.Div(children= self.children_div, style={"maxHeight": "600px", "overflow": "scroll"} ),
|
|
html.Div(children= self.children_div ),
|
|
html.A('www.candelatech.com',href='http://www.candelatech.com', target='_blank',
|
|
style={'color':'#00361c','text-align':'left'}),
|
|
])
|
|
|
|
# save as standalone files
|
|
#https://plotly.com/python/static-image-export/
|
|
|
|
if self.server_started:
|
|
print("refresh complete")
|
|
pass
|
|
else:
|
|
self.server_started = True
|
|
print("self.server_started {}".format(self.server_started))
|
|
#NOTE: the server_started flag needs to be set prior to run_server (or you get to debug an infinite loop)
|
|
#NOTE: debug=False will prevent init going though twice, also stops auto reload when editing code
|
|
self.app.run_server(host= '0.0.0.0', debug=True)
|
|
# host = '0.0.0.0' allows for remote access, local debug host = '127.0.0.1'
|
|
# app.run_server(host= '0.0.0.0', debug=True)
|
|
|
|
def main():
|
|
|
|
parser = argparse.ArgumentParser(
|
|
prog='kpi_csv_sq.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: kpi_csv_sq.py --store --png --show --path <path to directories to traverse> --database <name of database>
|
|
Example: kpi_csv_sq.py --show (show dashboard generated from database)
|
|
Example: kpi_csv_sq.py --store --png --show --path <path to read kpi.csv> (read kpi.csv store to database, write png, show dashboard )
|
|
|
|
''')
|
|
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>/ default: http://192.168.95.6/',default='http://192.168.95.6/')
|
|
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('--show', help='--show generate display and show dashboard, 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
|
|
|
|
# needed for refresh button
|
|
# n_clicks = 0
|
|
|
|
print("config: path:{} file:{} database:{} table:{} server:{} store:{} png:{} show:{} "
|
|
.format(__path,__file,__database,__table,__server,args.store, args.png,args.show))
|
|
|
|
if(__path == '' and args.store == True):
|
|
print("--path <path of kpi.csv> must be entered if --store , exiting")
|
|
exit(1)
|
|
|
|
if(args.png == True and args.store == False):
|
|
print("if --png set to create png files then --store must also be set, exiting")
|
|
exit(1)
|
|
|
|
if(args.png == True and args.show == True):
|
|
print("generating png files will effect initial display performance")
|
|
|
|
if args.store == False and args.png == False and args.show == False:
|
|
print("Need to enter an action of --store --png --show ")
|
|
|
|
# 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_sqlite_dash(
|
|
_path = __path,
|
|
_file = __file,
|
|
_database = __database,
|
|
_table = __table,
|
|
_server = __server,
|
|
_cut = __cut,
|
|
_png = __png)
|
|
if args.store:
|
|
csv_dash.store()
|
|
if args.png:
|
|
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()
|
|
report.set_table_title("Test Rig: {} Links".format(test_rig_list[-1])) # keep the list, currently one test bed results
|
|
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()
|
|
|
|
# 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("lanforge-scripts git sha: {}".format(git_sha))
|
|
# 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:
|
|
print("exception write_pdf_with_timestamp()")
|
|
|
|
if args.show:
|
|
#csv_dash.show(n_clicks)
|
|
csv_dash.show()
|
|
|
|
if __name__ == '__main__':
|
|
main()
|
|
|