from ntpserver_added
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parent
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24
src/run.py
24
src/run.py
@ -1,4 +1,4 @@
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from flask import Flask, session, g, render_template_string, Response
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from flask import Flask, session, g, render_template_string
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from flask_session import Session
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from flask_oidc import OpenIDConnect
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from werkzeug.middleware.proxy_fix import ProxyFix
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@ -8,8 +8,6 @@ import json
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import os
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import plotly.express as px
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import plotly.graph_objects as po
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import plotly.io as pio
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import io
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import pandas as pd
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import psycopg
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import sqlalchemy
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@ -161,7 +159,7 @@ def ntpserver():
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select time_bucket('5 minutes', time) as bucket,
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device,
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avg(cast(values->'rootdisp'->>'value' as float)) as rootdisp,
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max(cast(values->'stratum'->>'value' as int)) as stratum
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avg(cast(values->'stratum'->>'value' as int)) as stratum
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from measurements
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where time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval and
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application = 'TSM' and attributes->>'Label' = 'david'
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@ -176,6 +174,8 @@ def ntpserver():
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fig.add_trace(po.Scatter(x=df['bucket'], y=df['stratum'], mode='lines', name='Stratum', yaxis='y2', line=dict(color='blue')))
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fig.update_layout(
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title='NTP Server Numbers',
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# Linke Y-Achse
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yaxis=dict(
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title='Root Dispersion'
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@ -193,9 +193,19 @@ def ntpserver():
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legend=dict(x=0.05, y=1) # Position der Legende
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)
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img = fig.to_image(format='png')
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return Response(img, mimetype='image/png')
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graph_html = fig.to_html(full_html=False, default_height='30%')
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return render_template_string(f"""
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<html>
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<head>
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<title>NTP Server Numbers</title>
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</head>
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<body>
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{graph_html}
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</body>
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</html>
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""")
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except Exception as e:
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raise Exception(f"Error when querying NTP server values: {e}")
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finally:
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@ -208,7 +218,7 @@ def ntpserver():
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if __name__ == '__main__':
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app.run(host="0.0.0.0", port=8080)
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app.run(port=8080)
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else:
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exposed_app = ProxyFix(app, x_for=1, x_host=1)
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