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2 Commits
Author | SHA1 | Date | |
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c4fd8b2cfd | |||
37ce3d47ca |
18
src/run.py
18
src/run.py
@ -45,7 +45,7 @@ def index():
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fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group')
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fig_1 = px.bar(df, x='month', y='value', color='year', barmode='group')
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fig_1.update_layout(
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fig_1.update_layout(
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title="Jahreswerte Exportierte Energie",
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title="Jahreswerte Exportierte Energie",
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xaxis_title="Monat",
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xaxis_title="",
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yaxis_title="",
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yaxis_title="",
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legend_title="Jahr",
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legend_title="Jahr",
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xaxis=dict(
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xaxis=dict(
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@ -55,21 +55,27 @@ def index():
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),
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),
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yaxis=dict(ticksuffix=" kWh")
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yaxis=dict(ticksuffix=" kWh")
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)
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)
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graph_html_1 = fig_1.to_html(full_html=False)
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graph_html_1 = fig_1.to_html(full_html=False, default_height='33%')
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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)
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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)
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fig_2 = px.line(df, x='bucket', y='avg_power')
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fig_2 = px.line(df, x='bucket', y='avg_power')
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fig_2.update_layout(
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fig_2.update_layout(
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title="Export gestern"
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xaxis_title="",
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yaxis_title="",
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title="Export gestern",
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yaxis=dict(ticksuffix=" W")
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)
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)
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graph_html_2 = fig_2.to_html(full_html=False)
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graph_html_2 = fig_2.to_html(full_html=False, default_height='33%')
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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)
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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)
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fig_3 = px.line(df, x='bucket', y='avg_power')
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fig_3 = px.line(df, x='bucket', y='avg_power')
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fig_3.update_layout(
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fig_3.update_layout(
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title="Export gestern"
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xaxis_title="",
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yaxis_title="",
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title="Export heute",
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yaxis=dict(ticksuffix=" W")
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)
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)
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graph_html_3 = fig_3.to_html(full_html=False)
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graph_html_3 = fig_3.to_html(full_html=False, default_height='33%')
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return render_template_string(f"""
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return render_template_string(f"""
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<html>
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<html>
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