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			77 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			77 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
| # Run this app with `python app.py` and
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| # visit http://127.0.0.1:8050/ in your web browser.
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| 
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| import dash
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| import dash_core_components as dcc
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| import dash_html_components as html
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| import plotly.express as px
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| import pandas as pd
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| import sqlite3
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| 
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| 
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| external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
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| 
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| app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
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| 
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| # load data
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| 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')
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| 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')
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| df = df.append(append_df, ignore_index=True)
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| 
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| # information on sqlite database
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| # https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_sql.html
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| 
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| # write to data base local for now 
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| conn = sqlite3.connect("qa_db") 
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| 
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| # can append
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| df.to_sql("dp_table",conn,if_exists='append')
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| 
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| conn.close()
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| 
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| conn = sqlite3.connect("qa_db")
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| 
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| 
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| #https://datacarpentry.org/python-ecology-lesson/09-working-with-sql/index.html
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| df2 = pd.read_sql_query("SELECT * from dp_table" ,conn)
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| print(df.head())
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| conn.close()
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| #print(df)
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|                  
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| fig = (px.scatter(df2, x="Date", y="numeric-score",
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|                  color="short-description", hover_name="short-description",
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|                  size_max=60)).update_traces(mode='lines+markers')
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| 
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| '''
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| fig = px.scatter(df, x="Date", y="numeric-score",
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|                  color="short-description", hover_name="short-description",
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|                  size_max=60)
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| '''              
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| '''
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| fig = px.scatter(df, x="short-description", y="numeric-score",
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|                  color="short-description", hover_name="short-description",
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|                  size_max=60)
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| '''
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| fig.update_layout(
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|     title="Throughput vs Packet size",
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|     xaxis_title="Packet Size",
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|     yaxis_title="Mbps",
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|     xaxis = {'type' : 'date'}
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| )
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| 
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| 
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| app.layout = html.Div([
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|     dcc.Graph(
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|         id='packet-size vs rate',
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|         figure=fig
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|     ),
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|     dcc.Graph(
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|         id='packet-size vs rate2',
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|         figure=fig
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|     )
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| 
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| ])
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| 
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| if __name__ == '__main__':
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|     app.run_server(debug=True)
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|      | 
