timing

2025-01-31 10:29:42 +01:00 · 2025-01-31 10:19:03 +01:00 · 2025-01-30 17:37:55 +01:00 · 2025-01-30 17:24:18 +01:00 · 2025-01-30 17:16:08 +01:00 · 2025-01-30 17:10:01 +01:00
1 changed files with 30 additions and 9 deletions
--- a/src/run.py
+++ b/src/run.py
@ -56,9 +56,11 @@ def index():
        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="",
@ -76,14 +78,16 @@ def index():
        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
+        duration3 = step4_time - step3_time
+        logger.info(f"{duration3=}")
        fig_2 = px.line(df, x='bucket', y='avg_power')
        step5_time = time.time()
-        duration2 = step5_time - step4_time
+        duration4 = step5_time - step4_time
+        logger.info(f"{duration4=}")
        fig_2.update_layout(
            xaxis_title="",
            yaxis_title="",
-            title=f"Export gestern {duration1:.3f}, {duration2:.3f}",
+            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%')
@ -91,19 +95,22 @@ def index():
        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
+        duration5 = step7_time - step6_time
+        logger.info(f"{duration5=}")
        fig_3 = px.line(df, x='bucket', y='avg_power')
        step8_time = time.time()
-        duration2 = step8_time - step7_time
+        duration6 = step8_time - step7_time
+        logger.info(f"{duration6=}")
        fig_3.update_layout(
            xaxis_title="",
            yaxis_title="",
-            title=f"Export heute {duration1:.3f}, {duration2:.3f}",
+            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()
-        duration = stepZ_time - stepX_time
+        duration7 = stepZ_time - stepX_time
+        logger.info(f"{duration7=}")

        return render_template_string(f"""
            <html>
@ -114,8 +121,22 @@ def index():
                    {graph_html_1}
                    {graph_html_2}
                    {graph_html_3}
-                    <div style="height:9vh; background-color:lightgrey;">
-                    {duration:.3f}
+                    <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>
Author	SHA1	Message	Date
Wolfgang Hottgenroth	aa74c02498	timing All checks were successful ci/woodpecker/tag/woodpecker Pipeline was successful Details ci/woodpecker/push/woodpecker Pipeline was successful Details	2025-01-31 10:29:42 +01:00
Wolfgang Hottgenroth	6fd2bd0863	timing All checks were successful ci/woodpecker/push/woodpecker Pipeline was successful Details ci/woodpecker/tag/woodpecker Pipeline was successful Details	2025-01-31 10:19:03 +01:00
Wolfgang Hottgenroth	2c78fba3a6	timing All checks were successful ci/woodpecker/tag/woodpecker Pipeline was successful Details ci/woodpecker/push/woodpecker Pipeline was successful Details	2025-01-30 17:37:55 +01:00
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