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lf_qa.py : commenting updates and format statement updates

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Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>
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Chuck SmileyRekiere
2021-08-10 06:35:14 -06:00
parent dedb612897
commit 140cd06876
1 changed files with 20 additions and 19 deletions
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39
py-scripts/sandbox/lf_qa.py
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@@ -88,13 +88,12 @@ class csv_sqlite_dash():
self.conn.close()
def generate_graph_png(self):
print("generating graphs to display")
print("generate_graph_png: {}".format(time.time()))
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)
df3 = pd.read_sql_query("SELECT * from {}".format(self.table) ,self.conn) #current connection is sqlite3 /TODO move to SQLAlchemy
# sort by date column
# sort by date
try:
df3 = df3.sort_values(by='Date')
except:
@@ -152,21 +151,20 @@ class csv_sqlite_dash():
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 name {}_{}_{}_{}_kpi.png".format(test_id_list[-1], group, test_tag, test_rig))
print("generate png and kpi images from kpi kpi_path:{}".format(df_tmp['kpi_path']))
# generate png img path
png_path = os.path.join(kpi_path_list[-1],"{}_{}_{}_kpi.png".format( group, test_tag, test_rig))
png_path = png_path.replace(' ','')
#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))
# generate html graphics path
html_path = os.path.join(kpi_path_list[-1],"{}_{}_{}_kpi.html".format( group, test_tag, test_rig))
print("png_path {}".format(png_path))
# html links to png do not like spaces
# NOTE: html links to png do not like spaces
png_server_img = self.server + png_path.replace('/home/lanforge','')
print("png_server_img {}".format(png_server_img))
# generate png image
kpi_fig.write_image(png_path,scale=1,width=1200,height=350)
#https://plotly.com/python/interactive-html-export/
# generate html image (interactive)
kpi_fig.write_html(html_path)
# png of graph data to display
# generate link for dashboard
self.children_div.append(html.Img(src=png_server_img))
# may need .css class for formatting the images
self.html_results += """
@@ -176,10 +174,10 @@ class csv_sqlite_dash():
# 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
# Constructed path to server manually. possibly better way
# NOTE: generate, display for server (html, pdf) and for dash.
self.children_div.append(html.Br())
self.html_results +="""<br>"""
@@ -188,7 +186,8 @@ class csv_sqlite_dash():
kpi_html_path = kpi_html_path.replace('/home/lanforge/','')
self.children_div.append(html.Br())
self.html_results +="""<br>"""
self.children_div.append(html.A('{}_{}_{}_{}_kpi.html'.format(test_id_list[-1], group, test_tag, test_rig),
self.children_div.append(html.A('{test_id}_{group}_{test_tag}_{test_rig}_kpi.html'
.format(test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig),
href=kpi_html_path, target='_blank'))
self.html_results +="""<a href={kpi_html_path}>{test_id}_{group}_{test_tag}_{test_rig}_kpi.html<a>
""".format(kpi_html_path=kpi_html_path,test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig)
@@ -198,7 +197,8 @@ class csv_sqlite_dash():
report_index_html_path = report_index_html_path.replace('/home/lanforge/','')
self.children_div.append(html.Br())
self.html_results +="""<br>"""
self.children_div.append(html.A('{}_{}_{}_{}_report.html'.format(test_id_list[-1], group, test_tag, test_rig),
self.children_div.append(html.A('{test_id}_{group}_{test_tag}_{test_rig}_report.html'
.format(test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig),
href=report_index_html_path, target='_blank'))
self.html_results +="""<a href={report_index_html_path}>{test_id}_{group}_{test_tag}_{test_rig}_report.html<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)
@@ -218,6 +218,7 @@ class csv_sqlite_dash():
# 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:
@@ -227,8 +228,8 @@ class csv_sqlite_dash():
html.Div(id='my-output'),
html.H1(children= "LANforge Testing",className="lanforge",
style={'color':'green','text-align':'center'}),
#html.Button('Submit Recalculate',id='submit-val', n_clicks=0),
#html.Div(id='container-button-basic', children='to recalculate hit submit'),
#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
@@ -307,7 +308,7 @@ Example: kpi_csv_sq.py --store --png --show --path <path to read kpi.csv> (read
exit(1)
if(args.png == True and args.show == True):
print("WARNING: generating png files will effect initial display performance")
print("generating png files will effect initial display performance")
# create report class for reporting