Files
wlan-lanforge-scripts/py-scripts/sandbox/kpi_csv_sq.py
Chuck SmileyRekiere 9e69ae6d5a kpi_csv_sq.py : collect the pdf files
Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>
2021-08-03 18:26:28 -06:00

164 lines
6.0 KiB
Python
Executable File

#!/usr/bin/env python3
# Run this app with `python app.py` and
# visit http://127.0.0.1:8050/ in your web browser.
import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
import pandas as pd
import sqlite3
from pathlib import Path
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
# get a list of the kpi.csv files not the path needs to be bassed in
#path = Path('./2021-07-31-03-00-01_lf_check')
#path = Path('./test_data3')
path = Path('./lf_check_2')
kpi_list = list(path.glob('**/kpi.csv'))
print("kpi_list {}".format(kpi_list))
html_list = list(path.glob('**/index.html')) # the html is only index.html
print("html_list: {}".format(html_list))
df = pd.DataFrame()
# if there is no KPI then there is not an indication that
# a test was run so need to fix
#not if there is a kpi then there is an index.html
for kpi in kpi_list:
# load data
print("kpi {}".format(kpi))
df_kpi_tmp = pd.read_csv(kpi, sep='\t') # remove the index
df_kpi_tmp['kpi_path'] = str(kpi).replace('kpi.csv','') # only store the path to the kpi.csv file
df_kpi_tmp = df_kpi_tmp.append(df_kpi_tmp, ignore_index=True)
df = df.append(df_kpi_tmp, ignore_index=True)
#df.reset_index(drop=True)
print("df {data}".format(data=df))
# information on sqlite database
# https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_sql.html
# write to database
conn = sqlite3.connect("qa_db")
#df.to_sql("dp_table",conn,if_exists='append')
df.to_sql("dp_table",conn,if_exists='replace')
conn.close()
#https://datacarpentry.org/python-ecology-lesson/09-working-with-sql/index.html
conn = sqlite3.connect("qa_db")
df3 = pd.read_sql_query("SELECT * from dp_table" ,conn)
#print(df3.head())
conn.close()
graph_group_list = list(df3['Graph-Group'])
graph_group_list = list(set(graph_group_list)) #remove duplicates
test_tag_list = list(df3['test-tag'])
test_tag_list = list(set(test_tag_list))
i = 0
plot_figure = []
children_div = []
for test_tag in test_tag_list:
for group in graph_group_list:
df_tmp = df3.loc[(df3['Graph-Group'] == str(group)) & (df3['test-tag'] == str(test_tag))]
#print("test_tag: {} group: {} ".format(test_tag,group))
#print("df_tmp[{}]: {}".format(i,df_tmp))
i = i + 1
if df_tmp.empty == False:
append_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')
print("{}".format(df_tmp['Graph-Group']))
#print('{}'.format(type(append_fig)))
# remove duplicates
test_rig_list = list(df_tmp['test-rig'])
test_rig = list(set(test_rig_list))
test_id_list = list(df_tmp['test-id'])
test_id = list(set(test_id_list))
kpi_path_list = list(df_tmp['kpi_path'])
kpi_path = list(set(kpi_path_list))
# get graph labels from dataframe
units_list = list(df_tmp['Units'])
units = list(set(units_list))
append_fig.update_layout(
title="{} : {} : {} : {}".format(test_id[0], group, test_tag, test_rig[0]),
xaxis_title="Time",
yaxis_title="{}".format(units[0]),
xaxis = {'type' : 'date'}
)
# save the figure - this may need to be re-written
print("kpi_path:{}".format(df_tmp['kpi_path']))
#exit(1)
png_path = os.path.join(kpi_path[0],"{}_{}_{}_{}_kpi.png".format(test_id[0], group, test_tag, test_rig[0]))
print("png_path {}".format(png_path))
append_fig.write_image(png_path,scale=1,width=1200,height=350)
children_div.append(dcc.Graph(figure=append_fig))
# for now it was designed if there is a kpi.csv then there is an index.html
#https://dash.plotly.com/urls
#html_src = os.path.join(kpi_path[0],"index.html")
#children_div.append(dcc.Location(id='dog',refresh=False))
#children_div.append(dcc.Link('Link', href=html_src, target="_blank" ))
# can add other information
# access from server
# https://stackoverflow.com/questions/61678129/how-to-access-a-plotly-dash-app-server-via-lan
app.layout = html.Div([
# first instance
html.H1(children= "LANforge Testing",className="lanforge",
#style={'color':'#00361c','text-align':'center'}),
style={'color':'green','text-align':'center'}),
html.H2(children= "Test Set #1",className="ts1",
style={'color':'#00361c','text-align':'left'}),
#test html.Div(children= images_div ), # images_div is already a list, the children = a list
html.Div(children= children_div ), # images_div is already a list, the children = a list
html.H2(children= "Test Set #2",className="ts2",
style={'color':'#00361c','text-align':'left'}),
#test html.Div(children= images_div, style={"maxHeight": "480px","overflow": "scroll"})
# danger::: this will cause components to show up twice
#html.Div(children= children_div, style={"maxHeight": "480px","overflow": "scroll"})
])
# scroll bars
'''
app.layout = html.Div([
# first instance
html.H1(children= "LANforge Testing",className="lanforge",
#style={'color':'#00361c','text-align':'center'}),
style={'color':'green','text-align':'center'}),
html.H2(children= "Test Set #1",className="ts1",
style={'color':'#00361c','text-align':'left'}),
html.Div(children= images_div, style={"maxHeight": "480px","overflow": "scroll"} ), # images_div is already a list , the children = a list
html.H2(children= "Test Set #2",className="ts2",
style={'color':'#00361c','text-align':'left'}),
html.Div(children= images_div, style={"maxHeight": "480px","overflow": "scroll"})
])
'''
if __name__ == '__main__':
#app.run_server(debug=True)
app.run_server(host= '0.0.0.0', debug=True) # host = '0.0.0.0' allows for remote access