stats 2

.woodpecker.yml

@@ -4,15 +4,15 @@ steps:
     settings:
       repo: ${FORGE_NAME}/${CI_REPO}
       registry:
-        from_secret: container_registry
+        from_secret: local_registry
-      tags: latest,${CI_COMMIT_SHA},${CI_COMMIT_TAG}
+      tags: latest,${CI_COMMIT_TAG}
       username:
-        from_secret: container_registry_username
+        from_secret: local_username
       password:
-        from_secret: container_registry_password
+        from_secret: local_password
       dockerfile: Dockerfile
     when:
-      - event: [push, tag]
+      - event: tag
         
   scan:
     image: quay.io/wollud1969/woodpecker-helper:0.5.1
@@ -27,7 +27,7 @@ steps:
         from_secret: dtrack_api_url
     commands:
       - HOME=/home/`id -nu`
-      - TAG="${CI_COMMIT_TAG:-$CI_COMMIT_SHA}"
+      - TAG="${CI_COMMIT_TAG}"
       - |
         trivy image \
               --server $TRIVY_URL \
@@ -50,7 +50,7 @@ steps:
       - event: [push, tag]
 
   deploy:
-    image: quay.io/wollud1969/k8s-admin-helper:0.2.1
+    image: quay.io/wollud1969/k8s-admin-helper:0.4.1
     environment:
       KUBE_CONFIG_CONTENT:
         from_secret: kube_config

src/pv_routes.py

@@ -12,25 +12,17 @@ from app import app
 from app import oidc
 
 
-@app.route('/pvstats')
+@app.route('/')
 @oidc.require_login
 def pvstats():
     try:
-        stepX_time = time.time()
         dbh = psycopg.connect()
         engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)
 
-        step0_time = time.time()
         df = pd.read_sql("SELECT month, cast(year AS varchar), current_energy AS value FROM pv_energy_by_month", con=engine)
-        step1_time = time.time()
-        duration1 = step1_time - step0_time
-        logger.info(f"{duration1=}")
         fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group')
-        step2_time = time.time()
-        duration2 = step2_time - step1_time
-        logger.info(f"{duration2=}")
         fig_1.update_layout(
-            title=f"Jahreswerte Exportierte Energie {duration1:.3f}, {duration2:.3f}",
+            title=f"Jahreswerte Exportierte Energie PV-Anlage",
             xaxis_title="",
             yaxis_title="",
             legend_title="Jahr",
@@ -43,74 +35,34 @@ def pvstats():
         )
         graph_html_1 = fig_1.to_html(full_html=False, default_height='30%')
 
-        step3_time = time.time()
+        df = pd.read_sql("SELECT month, cast(year AS varchar), current_energy AS value FROM car_energy_by_month", con=engine)
-        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.bar(df, x='month', y='value', color='year', barmode='group')
-        step4_time = time.time()
-        duration3 = step4_time - step3_time
-        logger.info(f"{duration3=}")
-        fig_2 = px.line(df, x='bucket', y='avg_power')
-        step5_time = time.time()
-        duration4 = step5_time - step4_time
-        logger.info(f"{duration4=}")
         fig_2.update_layout(
+            title=f"Jahreswerte Verbrauch Elektroauto",
             xaxis_title="",
             yaxis_title="",
-            title=f"Export gestern {duration3:.3f}, {duration4:.3f}",
+            legend_title="Jahr",
-            yaxis=dict(ticksuffix=" W")
+            xaxis=dict(
+                tickmode="array",
+                tickvals=list(range(1, 13)),  # Monate 1–12
+                ticktext=["Jan", "Feb", "Mär", "Apr", "Mai", "Jun", "Jul", "Aug", "Sep", "Okt", "Nov", "Dez"]
+            ),
+            yaxis=dict(ticksuffix=" kWh")
         )
         graph_html_2 = fig_2.to_html(full_html=False, default_height='30%')
-
-        step6_time = time.time()
-        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)
-        step7_time = time.time()
-        duration5 = step7_time - step6_time
-        logger.info(f"{duration5=}")
-        fig_3 = px.line(df, x='bucket', y='avg_power')
-        step8_time = time.time()
-        duration6 = step8_time - step7_time
-        logger.info(f"{duration6=}")
-        fig_3.update_layout(
-            xaxis_title="",
-            yaxis_title="",
-            title=f"Export heute {duration5:.3f}, {duration6:.3f}",
-            yaxis=dict(ticksuffix=" W")
-        )
-        graph_html_3 = fig_3.to_html(full_html=False, default_height='30%')
-        stepZ_time = time.time()
-        duration7 = stepZ_time - stepX_time
-        logger.info(f"{duration7=}")
-
         return render_template_string(f"""
             <html>
                 <head>
-                    <title>Jahreswerte PV-Energie</title>
+                    <title>Jahreswerte PV und Auto</title>
                 </head>
                 <body>
                     {graph_html_1}
                     {graph_html_2}
-                    {graph_html_3}
-                    <div style="height:9vh; background-color:lightgrey; font-family: Courier, Consolas, monospace;">
-                      <table style="border-collapse: collapse;">
-                        <style>
-                          td.smallsep {{ padding-right: 10px }}
-                          td.largesep {{ padding-right: 30px }}
-                        </style> 
-                        <tr>
-                          <td class="smallsep">Query 1:</td><td class="largesep"> {duration1:.3f} s</td><td class="smallsep">Graph 1:</td><td> {duration2:.3f} s</td>
-                        </tr><tr>
-                          <td class="smallsep">Query 2:</td><td class="largesep"> {duration3:.3f} s</td><td class="smallsep">Graph 2:</td><td> {duration4:.3f} s</td>
-                        </tr><tr>
-                          <td class="smallsep">Query 3:</td><td class="largesep"> {duration5:.3f} s</td><td class="smallsep">Graph 3:</td><td> {duration6:.3f} s</td>
-                        </tr><tr>
-                          <td class="smallsep">Total:</td><td> {duration7:.3f} s</td><td></td><td></td>
-                        </tr>
-                      </table>   
-                    </div>
                 </body>
             </html>
         """)
     except Exception as e:
-        raise Exception(f"Error when querying energy export values: {e}")
+        raise Exception(f"Error when querying energy values: {e}")
     finally:
         if dbh is not None:
             dbh.close()

src/routes.py

@@ -5,10 +5,6 @@ from app import app
 from app import oidc
 
 
-@app.route('/')
-def index():
-    abort(404)
-
 @app.route('/generate_image')
 def generate_image():
     img = Image.new('RGB', (200, 100), color=(255, 255, 255))