mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-11-04 04:38:02 +00:00
145 lines
4.2 KiB
Python
145 lines
4.2 KiB
Python
# 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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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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from pathlib import Path
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external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
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app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
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# get a list of the kpi.csv files not the path needs to be bassed in
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path = Path('./2021-07-31-03-00-01_lf_check')
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kpi_list = list(path.glob('**/kpi.csv'))
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#print(kpi_list)
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df = pd.DataFrame()
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for kpi in kpi_list:
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# load data
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append_df = pd.read_csv(kpi, sep='\t')
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df = df.append(append_df, ignore_index=True)
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#print("df {data}".format(data=df))
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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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# write to database
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conn = sqlite3.connect("qa_db")
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#df.to_sql("dp_table",conn,if_exists='append')
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df.to_sql("dp_table",conn,if_exists='replace')
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conn.close()
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#https://datacarpentry.org/python-ecology-lesson/09-working-with-sql/index.html
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conn = sqlite3.connect("qa_db")
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df2 = pd.read_sql_query("SELECT * from dp_table" ,conn)
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#print(df2.head())
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conn.close()
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#print(df2)
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conn = sqlite3.connect("qa_db")
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df3 = pd.read_sql_query("SELECT * from dp_table" ,conn)
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#print(df3.head())
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conn.close()
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# works df4 = df3.loc[(df3['Graph-Group'] == 'CX-Time') & (df3['test-tag'] == 'ATH10K(9984)')]
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# works df4 = df3.loc[(df3['Graph-Group'] == 'CX-Time') ]
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# works print(str(df3['test-tag']))
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# works df4 = df3.loc[(df3['Graph-Group'] == 'CX-Time') & ('ATH10K' in str(df3['test-tag']) )]
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df4 = df3.loc[(df3['Graph-Group'] == 'CX-Time') & ('ATH10K' in str(df3['test-tag']) )]
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graph_group_list = list(df3['Graph-Group'])
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graph_group_list = list(set(graph_group_list)) #remove duplicates
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test_tag_list = list(df3['test-tag'])
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test_tag_list = list(set(test_tag_list))
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i = 0
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plot_figure = []
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for test_tag in test_tag_list:
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for group in graph_group_list:
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df_tmp = df3.loc[(df3['Graph-Group'] == str(group)) & (df3['test-tag'] == str(test_tag))]
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#print("test_tag: {} group: {} ".format(test_tag,group))
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#print("df_tmp[{}]: {}".format(i,df_tmp))
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i = i + 1
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if df_tmp.empty == False:
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append_fig = (px.scatter(df_tmp, 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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print("{}".format(df_tmp['Graph-Group']))
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#print('{}'.format(type(append_fig)))
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test_rig_list = list(df_tmp['test-rig'])
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test_rig = list(set(test_rig_list))
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test_id_list = list(df_tmp['test-id'])
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test_id = list(set(test_id_list))
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# get graph labels from dataframe
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units_list = list(df_tmp['Units'])
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units = list(set(units_list))
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append_fig.update_layout(
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title="{} : {} : {} : {}".format(test_id[0], group, test_tag, test_rig[0]),
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xaxis_title="Time",
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yaxis_title="{}".format(units[0]),
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xaxis = {'type' : 'date'}
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)
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plot_figure.append(append_fig)
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'''
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append_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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plot_figure.append(append_fig)
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'''
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# there may be more layout with html.Div
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# Maybe a be more OO
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images_div = []
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for plot_fig in plot_figure:
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images_div.append(dcc.Graph(figure=plot_fig))
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app.layout = html.Div(images_div)
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'''
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fig2 = (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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fig2.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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app.layout = html.Div([
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dcc.Graph(
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id='packet-size vs rate',
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figure=fig2
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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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