mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-11-01 19:28:00 +00:00
lf_qa.py : commenting updates and format statement updates
Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>
This commit is contained in:
@@ -88,13 +88,12 @@ class csv_sqlite_dash():
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self.conn.close()
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self.conn.close()
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def generate_graph_png(self):
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def generate_graph_png(self):
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print("generating graphs to display")
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print("generate png and html to display, generate time: {}".format(time.time()))
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print("generate_graph_png: {}".format(time.time()))
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#https://datacarpentry.org/python-ecology-lesson/09-working-with-sql/index.html-
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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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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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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 column
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# sort by date
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try:
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try:
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df3 = df3.sort_values(by='Date')
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df3 = df3.sort_values(by='Date')
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except:
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except:
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@@ -152,21 +151,20 @@ class csv_sqlite_dash():
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if self.png_generated:
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if self.png_generated:
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pass
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pass
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else:
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else:
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print("generating png files")
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print("generate png and kpi images from kpi kpi_path:{}".format(df_tmp['kpi_path']))
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print("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") # use simple name {}_{}_{}_{}_kpi.png".format(test_id_list[-1], group, test_tag, test_rig))
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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 = 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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png_path = png_path.replace(' ','')
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#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))
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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 = os.path.join(kpi_path_list[-1],"{}_{}_{}_kpi.html".format( group, test_tag, test_rig))
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print("png_path {}".format(png_path))
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# NOTE: html links to png do not like spaces
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# html links to png do not like spaces
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png_server_img = self.server + png_path.replace('/home/lanforge','')
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png_server_img = self.server + png_path.replace('/home/lanforge','')
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print("png_server_img {}".format(png_server_img))
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# generate png image
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kpi_fig.write_image(png_path,scale=1,width=1200,height=350)
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kpi_fig.write_image(png_path,scale=1,width=1200,height=350)
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#https://plotly.com/python/interactive-html-export/
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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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kpi_fig.write_html(html_path)
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# png of graph data to display
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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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self.children_div.append(html.Img(src=png_server_img))
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# may need .css class for formatting the images
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# may need .css class for formatting the images
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self.html_results += """
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self.html_results += """
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@@ -176,10 +174,10 @@ class csv_sqlite_dash():
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# use image from above to creat html display - this uses dynamic graphing
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# use image from above to creat html display - this uses dynamic graphing
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#self.children_div.append(dcc.Graph(figure=kpi_fig))
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#self.children_div.append(dcc.Graph(figure=kpi_fig))
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#TODO the link must be to a server to display html
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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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# 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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# need to construct path to server manually.
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# Constructed path to server manually. possibly better way
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#TODO need to work out the reporting paths - pass in path adjust
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# NOTE: generate, display for server (html, pdf) and for dash.
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self.children_div.append(html.Br())
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self.children_div.append(html.Br())
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self.html_results +="""<br>"""
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self.html_results +="""<br>"""
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@@ -188,7 +186,8 @@ class csv_sqlite_dash():
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kpi_html_path = kpi_html_path.replace('/home/lanforge/','')
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kpi_html_path = kpi_html_path.replace('/home/lanforge/','')
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self.children_div.append(html.Br())
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self.children_div.append(html.Br())
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self.html_results +="""<br>"""
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self.html_results +="""<br>"""
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self.children_div.append(html.A('{}_{}_{}_{}_kpi.html'.format(test_id_list[-1], group, test_tag, test_rig),
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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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href=kpi_html_path, target='_blank'))
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self.html_results +="""<a href={kpi_html_path}>{test_id}_{group}_{test_tag}_{test_rig}_kpi.html<a>
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self.html_results +="""<a href={kpi_html_path}>{test_id}_{group}_{test_tag}_{test_rig}_kpi.html<a>
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""".format(kpi_html_path=kpi_html_path,test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig)
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""".format(kpi_html_path=kpi_html_path,test_id=test_id_list[-1], group=group, test_tag=test_tag, test_rig=test_rig)
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@@ -198,7 +197,8 @@ class csv_sqlite_dash():
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report_index_html_path = report_index_html_path.replace('/home/lanforge/','')
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report_index_html_path = report_index_html_path.replace('/home/lanforge/','')
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self.children_div.append(html.Br())
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self.children_div.append(html.Br())
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self.html_results +="""<br>"""
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self.html_results +="""<br>"""
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self.children_div.append(html.A('{}_{}_{}_{}_report.html'.format(test_id_list[-1], group, test_tag, test_rig),
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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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href=report_index_html_path, target='_blank'))
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self.html_results +="""<a href={report_index_html_path}>{test_id}_{group}_{test_tag}_{test_rig}_report.html<a>
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self.html_results +="""<a href={report_index_html_path}>{test_id}_{group}_{test_tag}_{test_rig}_report.html<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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""".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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@@ -218,6 +218,7 @@ class csv_sqlite_dash():
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# https://stackoverflow.com/questions/61678129/how-to-access-a-plotly-dash-app-server-via-lan
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# https://stackoverflow.com/questions/61678129/how-to-access-a-plotly-dash-app-server-via-lan
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#def show(self,n_clicks):
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#def show(self,n_clicks):
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def show(self):
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def show(self):
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# gererate dash display
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#print("refreshes: {}".format(n_clicks))
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#print("refreshes: {}".format(n_clicks))
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self.generate_graph_png()
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self.generate_graph_png()
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if not self.children_div:
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if not self.children_div:
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@@ -227,8 +228,8 @@ class csv_sqlite_dash():
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html.Div(id='my-output'),
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html.Div(id='my-output'),
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html.H1(children= "LANforge Testing",className="lanforge",
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html.H1(children= "LANforge Testing",className="lanforge",
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style={'color':'green','text-align':'center'}),
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style={'color':'green','text-align':'center'}),
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#html.Button('Submit Recalculate',id='submit-val', n_clicks=0),
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#For dash refresh # html.Button('Submit Recalculate',id='submit-val', n_clicks=0),
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#html.Div(id='container-button-basic', children='to recalculate hit submit'),
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#For dash refresh # html.Div(id='container-button-basic', children='to recalculate hit submit'),
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html.H2(children= "Results",className="ts1",
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html.H2(children= "Results",className="ts1",
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style={'color':'#00361c','text-align':'left'}),
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style={'color':'#00361c','text-align':'left'}),
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# images_div is already a list, children = a list of html components
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# images_div is already a list, children = a list of html components
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@@ -307,7 +308,7 @@ Example: kpi_csv_sq.py --store --png --show --path <path to read kpi.csv> (read
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exit(1)
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exit(1)
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if(args.png == True and args.show == True):
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if(args.png == True and args.show == True):
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print("WARNING: generating png files will effect initial display performance")
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print("generating png files will effect initial display performance")
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# create report class for reporting
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# create report class for reporting
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