kpi_sqlite.py : test code for QA

ct_id_102.json : regression - local testbed example

Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>

py-scripts/sandbox/kpi_sqlite.py

@@ -0,0 +1,77 @@
+# Run this app with `python app.py` and
+# visit http://127.0.0.1:8050/ in your web browser.
+
+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
+
+
+external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
+
+app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
+
+# load data
+df = pd.read_csv('http://192.168.95.6/html-reports/2021-07-20-16-25-05_lf_check/dataplane-2021-07-20-04-28-42/kpi.csv', sep='\t')
+append_df = pd.read_csv('http://192.168.95.6/html-reports/2021-07-24-03-00-01_lf_check/dataplane-2021-07-24-03-06-02/kpi.csv', sep='\t')
+df = df.append(append_df, ignore_index=True)
+
+# information on sqlite database
+# https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_sql.html
+
+# write to data base local for now 
+conn = sqlite3.connect("qa_db") 
+
+# can append
+df.to_sql("dp_table",conn,if_exists='append')
+
+conn.close()
+
+conn = sqlite3.connect("qa_db")
+
+
+#https://datacarpentry.org/python-ecology-lesson/09-working-with-sql/index.html
+df2 = pd.read_sql_query("SELECT * from dp_table" ,conn)
+print(df.head())
+conn.close()
+#print(df)
+                 
+fig = (px.scatter(df2, x="Date", y="numeric-score",
+                 color="short-description", hover_name="short-description",
+                 size_max=60)).update_traces(mode='lines+markers')
+
+'''
+fig = px.scatter(df, x="Date", y="numeric-score",
+                 color="short-description", hover_name="short-description",
+                 size_max=60)
+'''              
+'''
+fig = px.scatter(df, x="short-description", y="numeric-score",
+                 color="short-description", hover_name="short-description",
+                 size_max=60)
+'''
+fig.update_layout(
+    title="Throughput vs Packet size",
+    xaxis_title="Packet Size",
+    yaxis_title="Mbps",
+    xaxis = {'type' : 'date'}
+)
+
+
+app.layout = html.Div([
+    dcc.Graph(
+        id='packet-size vs rate',
+        figure=fig
+    ),
+    dcc.Graph(
+        id='packet-size vs rate2',
+        figure=fig
+    )
+
+])
+
+if __name__ == '__main__':
+    app.run_server(debug=True)
+