Merge branch 'main' of gitea.hottis.de:wn/pv-stats

.woodpecker.yml

@@ -13,12 +13,6 @@ steps:
       dockerfile: Dockerfile
     when:
       - event: [push, tag]
-  scan_image:
-    image: aquasec/trivy
-    commands:
-      - TRIVY_DISABLE_VEX_NOTICE=1 trivy image $FORGE_NAME/$CI_REPO:$CI_COMMIT_SHA --quiet --exit-code 1
-    when:
-      - event: [push, tag]
   deploy:
     image: quay.io/wollud1969/k8s-admin-helper:0.2.1
     environment:

src/requirements.txt

@@ -1,3 +1,4 @@
+kaleido
 async-timeout==5.0.1
 Authlib==1.4.0
 blinker==1.9.0

src/run.py

@@ -1,4 +1,4 @@
-from flask import Flask, session, g, render_template_string
+from flask import Flask, session, g, render_template_string, Response
 from flask_session import Session
 from flask_oidc import OpenIDConnect
 from werkzeug.middleware.proxy_fix import ProxyFix
@@ -7,6 +7,7 @@ import redis
 import json
 import os
 import plotly.express as px
+import plotly.graph_objects as po
 import pandas as pd
 import psycopg
 import sqlalchemy
@@ -148,6 +149,60 @@ def index():
             dbh.close()
 
 
+@app.route('/ntpserver')
+def ntpserver():
+    try:
+        dbh = psycopg.connect()
+        engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)
+
+        query = """
+          select   time_bucket('5 minutes', time) as bucket,
+            device,
+            avg(cast(values->'rootdisp'->>'value'  as float)) as rootdisp,
+            avg(cast(values->'stratum'->>'value'  as int)) as stratum
+          from measurements
+          where time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval and 
+            application = 'TSM' and attributes->>'Label' = 'david'
+          group by bucket, device
+          order by bucket, device
+        """      
+
+        df = pd.read_sql(query, con=engine)
+
+        fig = po.Figure()
+        fig.add_trace(po.Scatter(x=df['bucket'], y=df['rootdisp'], mode='lines', name='Root Dispersion', yaxis='y1', line=dict(color='red')))
+        fig.add_trace(po.Scatter(x=df['bucket'], y=df['stratum'], mode='lines', name='Stratum', yaxis='y2', line=dict(color='blue')))
+
+        fig.update_layout(
+            # Linke Y-Achse
+            yaxis=dict(
+                title='Root Dispersion'
+            ),
+            
+            # Rechte Y-Achse
+            yaxis2=dict(
+                title='Stratum',
+                overlaying='y',  # Legt die zweite Y-Achse über die erste
+                side='right',  # Setzt sie auf die rechte Seite
+                tickmode='linear',  # Stellt sicher, dass die Ticks in festen Intervallen sind
+                dtick=1,  # Zeigt nur ganzzahlige Ticks
+            ),
+            
+            legend=dict(x=0.05, y=1)  # Position der Legende
+        )
+
+        img = fig.to_image(format='png')
+        return Response(img, mimetype='image/png')
+
+    except Exception as e:
+        raise Exception(f"Error when querying NTP server values: {e}")
+    finally:
+        if dbh is not None:
+            dbh.close()
+
+
+
+
 
 
 if __name__ == '__main__':