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23 Commits
ntpserver_
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0.2.8
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@ -1,4 +1,4 @@
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FROM python:3.12-alpine3.21
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FROM python:3.11-alpine3.21
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ENV REDIS_URL=""
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ENV REDIS_URL=""
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ENV SECRET_KEY=""
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ENV SECRET_KEY=""
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48
src/run.py
48
src/run.py
@ -159,7 +159,7 @@ def ntpserver():
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select time_bucket('5 minutes', time) as bucket,
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select time_bucket('5 minutes', time) as bucket,
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device,
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device,
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avg(cast(values->'rootdisp'->>'value' as float)) as rootdisp,
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avg(cast(values->'rootdisp'->>'value' as float)) as rootdisp,
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avg(cast(values->'stratum'->>'value' as int)) as stratum
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max(cast(values->'stratum'->>'value' as int)) as stratum
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from measurements
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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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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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application = 'TSM' and attributes->>'Label' = 'david'
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@ -178,7 +178,8 @@ def ntpserver():
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# Linke Y-Achse
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# Linke Y-Achse
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yaxis=dict(
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yaxis=dict(
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title='Root Dispersion'
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title='Root Dispersion',
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ticksuffix=' ms'
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),
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),
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# Rechte Y-Achse
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# Rechte Y-Achse
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@ -193,8 +194,45 @@ def ntpserver():
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legend=dict(x=0.05, y=1) # Position der Legende
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legend=dict(x=0.05, y=1) # Position der Legende
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)
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)
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graph_html_1 = fig.to_html(full_html=False, default_height='30%')
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graph_html = fig.to_html(full_html=False, default_height='30%')
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query = """
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select time_bucket('5 minutes', time) as bucket,
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device,
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avg(cast(values->'lan-in-pkts'->>'value' as float)) as packets
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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 = 'SNMP' and attributes->>'Label' = 'david'
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group by bucket, device
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order by bucket, device
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"""
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df = pd.read_sql(query, con=engine)
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fig_2 = px.line(df, x='bucket', y='packets')
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fig_2.update_layout(
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xaxis_title="",
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yaxis_title="",
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title=f"Packets"
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)
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graph_html_2 = fig_2.to_html(full_html=False, default_height='30%')
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query = """
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select time_bucket('5 minutes', time) as bucket,
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device,
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avg(cast(values->'local'->>'value' as float)) as loadAverage1Min
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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 = 'SNMP' and attributes->>'Label' = 'david'
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group by bucket, device
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order by bucket, device
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"""
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df = pd.read_sql(query, con=engine)
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fig_3 = px.line(df, x='bucket', y='loadAverage1Min')
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fig_3.update_layout(
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xaxis_title="",
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yaxis_title="",
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title=f"CPU Load"
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)
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graph_html_3 = fig_3.to_html(full_html=False, default_height='30%')
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return render_template_string(f"""
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return render_template_string(f"""
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<html>
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<html>
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@ -202,7 +240,9 @@ def ntpserver():
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<title>NTP Server Numbers</title>
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<title>NTP Server Numbers</title>
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</head>
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</head>
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<body>
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<body>
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{graph_html}
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{graph_html_1}
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{graph_html_2}
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{graph_html_3}
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</body>
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</body>
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</html>
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</html>
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""")
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""")
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