debug start script and separate routes into separate files

2025-03-12 11:57:37 +01:00
parent a972916704
commit 0914a91fa0
6 changed files with 326 additions and 254 deletions
--- a/src/pv_routes.py
+++ b/src/pv_routes.py
@@ -0,0 +1,116 @@
+from loguru import logger
+import json
+import plotly.express as px
+import plotly.graph_objects as po
+import pandas as pd
+import psycopg
+import sqlalchemy
+import time
+
+from app import app
+from app import oidc
+
+
+@app.route('/')
+@oidc.require_login
+def index():
+    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}",
+            xaxis_title="",
+            yaxis_title="",
+            legend_title="Jahr",
+            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_1 = fig_1.to_html(full_html=False, default_height='30%')
+
+        step3_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()) - '1 day'::interval AND time < date_trunc('day', now()) GROUP BY bucket ORDER BY bucket", con=engine)
+        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(
+            xaxis_title="",
+            yaxis_title="",
+            title=f"Export gestern {duration3:.3f}, {duration4:.3f}",
+            yaxis=dict(ticksuffix=" W")
+        )
+        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>
+                </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}")
+    finally:
+        if dbh is not None:
+            dbh.close()
+