timing

2025-01-30 17:24:18 +01:00 · 2025-01-30 17:16:08 +01:00 · 2025-01-30 17:10:01 +01:00 · 2025-01-30 16:59:36 +01:00 · 2025-01-30 16:53:07 +01:00 · 2025-01-30 16:42:09 +01:00
1 changed files with 45 additions and 12 deletions
--- a/src/run.py
+++ b/src/run.py
@ -48,15 +48,21 @@ def token_debug():
@oidc.require_login
 def index():
    try:
+        stepX_time = time.time()
        dbh = psycopg.connect()
        engine = sqlalchemy.create_engine("postgresql+psycopg://", creator=lambda: dbh)

-        start_time = 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)
-        duration = time.time() - start_time
+        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 {duration}",
+            title=f"Jahreswerte Exportierte Energie {duration1:.3f}, {duration2:.3f}",
            xaxis_title="",
            yaxis_title="",
            legend_title="Jahr",
@ -67,31 +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%')

-        start_time = time.time()
+        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)
-        duration = time.time() - start_time
+        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 {duration}",
+            title=f"Export gestern {duration3:.3f}, {duration4:.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%')

-        start_time = time.time()
+        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)
-        duration = time.time() - start_time
+        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 {duration}",
+            title=f"Export heute {duration5:.3f}, {duration6:.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()
+        duration7 = stepZ_time - stepX_time
+        logger.info(f"{duration7=}")

        return render_template_string(f"""
            <html>
@ -102,6 +121,20 @@ def index():
                    {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>table td {{ padding-right: 5px }}</style>
+                        <tr>
+                          <td>Query 1: {duration1:.3f} s</td><td>Graph 1: {duration2:.3f} s</td>
+                        </tr><tr>
+                          <td>Query 2: {duration3:.3f} s</td><td>Graph 2: {duration4:.3f} s</td>
+                        </tr><tr>
+                          <td>Query 3: {duration5:.3f} s</td><td>Graph 3: {duration6:.3f} s</td>
+                        </tr><tr>
+                          <td>Total: {duration7:.3f} s</td>
+                        </tr>
+                      </table>   
+                    </div>
                </body>
            </html>
        """)
Author	SHA1	Message	Date
Wolfgang Hottgenroth	86b883569f	timing Some checks failed ci/woodpecker/push/woodpecker Pipeline failed Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 17:24:18 +01:00
Wolfgang Hottgenroth	ba86a08632	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 17:16:08 +01:00
Wolfgang Hottgenroth	0b61a18eb1	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 17:10:01 +01:00
Wolfgang Hottgenroth	1418603007	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 16:59:36 +01:00
Wolfgang Hottgenroth	9926c89ef2	timing All checks were successful ci/woodpecker/tag/woodpecker Pipeline was successful Details ci/woodpecker/push/woodpecker Pipeline was successful Details	2025-01-30 16:53:07 +01:00
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
Wolfgang Hottgenroth	8bd4a4b695	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 13:30:45 +01:00
Wolfgang Hottgenroth	89f3cbb5d1	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 10:31:36 +01:00
Wolfgang Hottgenroth	37c4a373b7	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 10:25:56 +01:00
Wolfgang Hottgenroth	408cff442c	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-30 10:19:07 +01:00