token debug

.woodpecker.yml

@@ -16,7 +16,7 @@ steps:
   scan_image:
     image: aquasec/trivy
     commands:
-      - trivy image $FORGE_NAME/$CI_REPO:$CI_COMMIT_SHA --quiet --exit-code 1
+      - TRIVY_DISABLE_VEX_NOTICE=1 trivy image $FORGE_NAME/$CI_REPO:$CI_COMMIT_SHA --quiet --exit-code 1
     when:
       - event: [push, tag]
   deploy:

deployment/secrets.asc

@@ -1,15 +1,15 @@
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-=gOlN
+=K6Qq
 -----END PGP MESSAGE-----

src/run.py

@@ -34,25 +34,27 @@ app.config.update({
 Session(app)
 oidc = OpenIDConnect(app)
 
+@app.route('/token_debug', methods=['GET'])
+@oidc.require_login
+def token_debug():
+    # Access Token vom Identity Provider abrufen
+    access_token = oidc.get_access_token()
+    return json.dumps({
+        "access_token": access_token
+    })
+
 @app.route('/')
 @oidc.require_login
 def index():
-    counter = int(session.get('counter', '0'))
-    counter += 1
-    session['counter'] = f"{counter}"
-    return f"Hello, Flask! Called for the {counter}. time."
-
-@app.route('/plot')
-@oidc.require_login
-def plot():
     try:
         dbh = psycopg.connect()
         engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)
+
         df = pd.read_sql("SELECT month, cast(year AS varchar), current_energy AS value FROM pv_energy_by_month", con=engine)
-        fig = px.bar(df, x='month', y='value', color='year', barmode='group')
+        fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group')
-        fig.update_layout(
+        fig_1.update_layout(
             title="Jahreswerte Exportierte Energie",
-            xaxis_title="Monat",
+            xaxis_title="",
             yaxis_title="",
             legend_title="Jahr",
             xaxis=dict(
@@ -62,7 +64,27 @@ def plot():
             ),
             yaxis=dict(ticksuffix=" kWh")
         )
-        graph_html = fig.to_html(full_html=False)
+        graph_html_1 = fig_1.to_html(full_html=False, default_height='33%')
+
+        df = pd.read_sql("SELECT time_bucket('5 minutes', time) AS bucket, AVG(power) AS avg_power FROM pv_power_v WHERE time >= date_trunc('day', now()) - '1 day'::interval AND time < date_trunc('day', now()) GROUP BY bucket ORDER BY bucket", con=engine)
+        fig_2 = px.line(df, x='bucket', y='avg_power')
+        fig_2.update_layout(
+            xaxis_title="",
+            yaxis_title="",
+            title="Export gestern",
+            yaxis=dict(ticksuffix=" W")
+        )
+        graph_html_2 = fig_2.to_html(full_html=False, default_height='33%')
+
+        df = pd.read_sql("SELECT time_bucket('5 minutes', time) AS bucket, AVG(power) AS avg_power FROM pv_power_v WHERE time >= date_trunc('day', now()) AND time < date_trunc('day', now()) + '1 day'::interval GROUP BY bucket ORDER BY bucket", con=engine)
+        fig_3 = px.line(df, x='bucket', y='avg_power')
+        fig_3.update_layout(
+            xaxis_title="",
+            yaxis_title="",
+            title="Export heute",
+            yaxis=dict(ticksuffix=" W")
+        )
+        graph_html_3 = fig_3.to_html(full_html=False, default_height='33%')
 
         return render_template_string(f"""
             <html>
@@ -70,7 +92,9 @@ def plot():
                     <title>Jahreswerte PV-Energie</title>
                 </head>
                 <body>
-                    {graph_html}
+                    {graph_html_1}
+                    {graph_html_2}
+                    {graph_html_3}
                 </body>
             </html>
         """)