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kpi_csv_sq.py : added png and html.img (intermediate checking)

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Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>
This commit is contained in:
Chuck SmileyRekiere
2021-08-07 18:00:54 -06:00
parent f825a8288c
commit c1e244b02a
1 changed files with 37 additions and 25 deletions
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62
py-scripts/sandbox/kpi_csv_sq.py
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@@ -17,7 +17,7 @@ import pandas as pd
import sqlite3
import argparse
from pathlib import Path
import base64
import time
# Any style components can be used
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
@@ -76,6 +76,7 @@ class csv_sqlite_dash():
def generate_graph_png(self):
print("generating graphs to display")
print("generate_graph_png: {}".format(time.time()))
#https://datacarpentry.org/python-ecology-lesson/09-working-with-sql/index.html-
self.conn = sqlite3.connect(self.database)
@@ -99,6 +100,7 @@ class csv_sqlite_dash():
test_rig_list = list(df3['test-rig'])
test_rig_list = list(set(test_rig_list))
self.children_div.append(html.A('html_reports', href=self.server_html_reports, target='_blank'))
for test_rig in test_rig_list:
for test_tag in test_tag_list:
for group in graph_group_list:
@@ -123,44 +125,53 @@ class csv_sqlite_dash():
# save the figure - figures will be over written png
# for testing
png_server_img = ''
#if self.png:
# if self.png_generated:
# pass
# else:
self.png_generated = True
print("generating png files")
print("kpi_path:{}".format(df_tmp['kpi_path']))
png_path = os.path.join(kpi_path_list[-1],"kpi.png") # use simple names {}_{}_{}_{}_kpi.png".format(test_id_list[-1], group, test_tag, test_rig))
html_path = os.path.join(kpi_path_list[-1],"kpi.html") # use simple names {}_{}_{}_{}_kpi.html".format(test_id_list[-1], group, test_tag, test_rig))
print("png_path {}".format(png_path))
png_server_img = self.server + png_path.replace('/home/lanforge','')
print("png_server_img {}".format(png_server_img))
kpi_fig.write_image(png_path,scale=1,width=1200,height=350)
#https://plotly.com/python/interactive-html-export/
kpi_fig.write_html(html_path)
self.children_div.append(html.Img(src=png_server_img))
if self.png:
if self.png_generated:
pass
else:
print("generating png files")
print("kpi_path:{}".format(df_tmp['kpi_path']))
png_path = os.path.join(kpi_path_list[-1],"kpi.png") # use simple names {}_{}_{}_{}_kpi.png".format(test_id_list[-1], group, test_tag, test_rig))
html_path = os.path.join(kpi_path_list[-1],"kpi.html") # use simple names {}_{}_{}_{}_kpi.html".format(test_id_list[-1], group, test_tag, test_rig))
print("png_path {}".format(png_path))
png_server_img = self.server + png_path.replace('/home/lanforge','')
print("png_server_img {}".format(png_server_img))
kpi_fig.write_image(png_path,scale=1,width=1200,height=350)
#https://plotly.com/python/interactive-html-export/
kpi_fig.write_html(html_path)
# png of graph data to display
self.children_div.append(html.Img(src=png_server_img))
# need to figure out how to add png
# need server path for images no os.path
# use image from above to creat html display
# use image from above to creat html display - this uses dynamic graphing
#self.children_div.append(dcc.Graph(figure=kpi_fig))
#TODO the link must be to a server to display html
# WARNING: DO NOT USE os.path.join will use the path for where the script is RUN which can be container.
# need to construct path to server manually.
#TODO need to work out the reporting paths - pass in path adjust
self.children_div.append(html.Br())
# link to interactive results
index_html_path = self.server + kpi_path_list[-1] + "kpi.html"
index_html_path = index_html_path.replace('/home/lanforge/','')
self.children_div.append(html.Br())
self.children_div.append(html.A('{}_{}_{}_{}_kpi.html'.format(test_id_list[-1], group, test_tag, test_rig),
href=index_html_path, target='_blank'))
# link to full test results
index_html_path = self.server + kpi_path_list[-1] + "index.html"
index_html_path = index_html_path.replace('/home/lanforge/','')
self.children_div.append(html.Br())
self.children_div.append(html.A('{}_{}_{}_{}_index.html'.format(test_id_list[-1], group, test_tag, test_rig),
href=index_html_path, target='_blank'))
self.children_div.append(html.Br())
self.children_div.append(html.A('html_reports', href=self.server_html_reports, target='_blank'))
self.children_div.append(html.Br())
self.children_div.append(html.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):
@@ -169,6 +180,7 @@ class csv_sqlite_dash():
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",
@@ -191,9 +203,9 @@ class csv_sqlite_dash():
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)
self.server_started = True
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)