timing

2025-01-30 16:42:09 +01:00 · 2025-01-30 14:16:01 +01:00 · 2025-01-30 13:35:08 +01:00
1 changed files with 13 additions and 6 deletions
--- a/src/run.py
+++ b/src/run.py
@ -52,13 +52,15 @@ def index():
        dbh = psycopg.connect()
        engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)

-        step0 = time.time()
+        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"1. {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"1. {duration2=}")
        fig_1.update_layout(
            title=f"Jahreswerte Exportierte Energie {duration1:.3f}, {duration2:.3f}",
            xaxis_title="",
@ -71,39 +73,44 @@ def index():
            ),
            yaxis=dict(ticksuffix=" kWh")
        )
-        graph_html_1 = fig_1.to_html(full_html=False, default_height='33%')
+        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()
        duration1 = step4_time - step3_time
+        logger.info(f"2. {duration1=}")
        fig_2 = px.line(df, x='bucket', y='avg_power')
        step5_time = time.time()
        duration2 = step5_time - step4_time
+        logger.info(f"2. {duration2=}")
        fig_2.update_layout(
            xaxis_title="",
            yaxis_title="",
            title=f"Export gestern {duration1:.3f}, {duration2:.3f}",
            yaxis=dict(ticksuffix=" W")
        )
-        graph_html_2 = fig_2.to_html(full_html=False, default_height='33%')
+        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()
        duration1 = step7_time - step6_time
+        logger.info(f"3. {duration1=}")
        fig_3 = px.line(df, x='bucket', y='avg_power')
        step8_time = time.time()
        duration2 = step8_time - step7_time
+        logger.info(f"3. {duration2=}")
        fig_3.update_layout(
            xaxis_title="",
            yaxis_title="",
            title=f"Export heute {duration1:.3f}, {duration2:.3f}",
            yaxis=dict(ticksuffix=" W")
        )
-        graph_html_3 = fig_3.to_html(full_html=False, default_height='33%')
+        graph_html_3 = fig_3.to_html(full_html=False, default_height='30%')
        stepZ_time = time.time()
        duration = stepZ_time - stepX_time
+        logger.info(f"4. {duration=}")

        return render_template_string(f"""
            <html>
@ -114,9 +121,9 @@ def index():
                    {graph_html_1}
                    {graph_html_2}
                    {graph_html_3}
-                    <p>
+                    <div style="height:9vh; background-color:lightgrey;">
                    {duration:.3f}
-                    </p>
+                    </div>
                </body>
            </html>
        """)
Author	SHA1	Message	Date
Wolfgang Hottgenroth	fc6f407a52	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 16:42:09 +01:00
Wolfgang Hottgenroth	0e9cb0a7f8	timing All checks were successful ci/woodpecker/tag/woodpecker Pipeline was successful Details ci/woodpecker/push/woodpecker Pipeline was successful Details	2025-01-30 14:16:01 +01:00
Wolfgang Hottgenroth	e3b2ea704d	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 13:35:08 +01:00