Update app.py

app.py

@@ -1,203 +1,203 @@
-import panel as pn
-import pandas as pd
-
-from consts import INVERTER_ID_MAPPING, TEMPERATURE_COLUMNS_TO_USE
-from plotting import (
-    create_heatmap,
-    create_iv_plot_with_power_curves,
-    create_iv_plot,
-    create_iv_plot_with_power_and_temperature_curves,
-    create_iv_plot_with_temperature_curves,
-)
-
-# Read metadata to get the date range
-timeseries_data = pd.read_csv(
-    r"data/multi_index_timeseries_data.csv",
-    index_col=0,
-    header=[0, 2],
-    parse_dates=True,
-)
-other_features_data = pd.read_csv(
-    r"data/other_features_data.csv", index_col=0, header=0, parse_dates=True
-)
-other_features_data = other_features_data[TEMPERATURE_COLUMNS_TO_USE]
-kpi_data = pd.read_csv(
-    r"data/kpi_data.csv", index_col=0, header=0, parse_dates=True
-)
-daily_timeseries_data = pd.read_csv(
-    r"data/daily_aggregated_timeseries_data.csv",
-    index_col=0,
-    header=0,
-    parse_dates=True,
-)
-
-# Initialize Panel extension
-pn.extension("plotly")
-
-# Widgets for selecting columns
-inverter_ids = pn.widgets.MultiSelect(
-    name="Inverter IDs",
-    value=[list(INVERTER_ID_MAPPING.keys())[0]],
-    options=list(INVERTER_ID_MAPPING.keys()),
-    size=8,
-)
-# Line Plots
-plot_power_curves = pn.widgets.Checkbox(name="Plot P-dc and P-ac", value=False)
-plot_temperature_curves = pn.widgets.Checkbox(name="Plot Temperatures", value=False)
-
-# Heatmaps
-heatmap_pr = pn.widgets.Checkbox(name="Heat Map PR", value=False)
-heatmap_sy = pn.widgets.Checkbox(name="Heat Map SY", value=False)
-heatmap_current = pn.widgets.Checkbox(name="Heat Map - Current", value=False)
-heatmap_voltage = pn.widgets.Checkbox(name="Heat Map - Voltage", value=False)
-heatmap_power = pn.widgets.Checkbox(name="Heat Map - Power", value=False)
-heatmap_irradiance = pn.widgets.Checkbox(name="Heat Map - Irradiance", value=False)
-heatmap_temperature = pn.widgets.Checkbox(
-    name="Heat Map - Temperature " "Heatsink", value=False
-)
-
-# Create a loading spinner
-loading_spinner = pn.indicators.LoadingSpinner(width=50, height=50)
-
-
-# Panel interactive functions
-@pn.depends(
-    inverter_ids.param.value,
-    plot_power_curves.param.value,
-    plot_temperature_curves.param.value,
-)
-def update_iv_plot(inverter_ids, plot_power_curves, plot_temperature_curves):
-    if not inverter_ids:
-        return pn.pane.Markdown("No Inverters selected for Plotting.")
-    else:
-        # Plot IV + Power + Temperature Curves
-        if plot_power_curves and plot_temperature_curves:
-            print("Plotting IV + Power + Temperature Curves")
-            return create_iv_plot_with_power_and_temperature_curves(
-                timeseries_data, other_features_data, inverter_ids
-            )
-        # Plot IV + Temperature Curves
-        elif (not plot_power_curves) and plot_temperature_curves:
-            print("Plot IV + Temperature Curves")
-            return create_iv_plot_with_temperature_curves(
-                timeseries_data, other_features_data, inverter_ids
-            )
-        # Plot IV + Power Curves
-        elif plot_power_curves and (not plot_temperature_curves):
-            print("Plot IV + Power Curves")
-            return create_iv_plot_with_power_curves(timeseries_data, inverter_ids)
-        # Plot only IV Curves
-        else:
-            print("Plot only IV Curves")
-            return create_iv_plot(timeseries_data, inverter_ids)
-
-
-@pn.depends(heatmap_pr.param.value)
-def update_heatmap_pr(heatmap_pr):
-    if heatmap_pr:
-        pr_df = kpi_data.filter(like="pr")
-        pr_df.columns = [i.split("-")[1] for i in pr_df.columns]
-        pr_heatmap = create_heatmap(pr_df, "PR Heatmap")
-        return pn.Row(pr_heatmap)
-    return pn.pane.Markdown("")
-
-
-@pn.depends(heatmap_sy.param.value)
-def update_heatmap_sy(heatmap_sy):
-    if heatmap_sy:
-        sy_df = kpi_data.filter(like="daily_specific_yield")
-        sy_df.columns = [i.split("-")[1] for i in sy_df.columns]
-        sy_heatmap = create_heatmap(sy_df, "SY Heatmap")
-        return pn.Row(sy_heatmap)
-    return pn.pane.Markdown("")
-
-
-@pn.depends(heatmap_current.param.value)
-def update_heatmap_current(heatmap_current):
-    if heatmap_current:
-        current_df = daily_timeseries_data.filter(like="I")
-        current_df.columns = [i.split("-")[1] for i in current_df.columns]
-        current_heatmap = create_heatmap(current_df, "Current Heatmap")
-        return pn.Row(current_heatmap)
-    return pn.pane.Markdown("")
-
-
-@pn.depends(heatmap_voltage.param.value)
-def update_heatmap_voltage(heatmap_voltage):
-    if heatmap_voltage:
-        voltage_df = daily_timeseries_data.filter(like="V")
-        voltage_df.columns = [i.split("-")[1] for i in voltage_df.columns]
-        voltage_heatmap = create_heatmap(voltage_df, "Voltage Heatmap")
-        return pn.Row(voltage_heatmap)
-    return pn.pane.Markdown("")
-
-
-@pn.depends(heatmap_power.param.value)
-def update_heatmap_power(heatmap_power):
-    if heatmap_power:
-        power_df = daily_timeseries_data.filter(like="P")
-        power_df.columns = [i.split("-")[1] for i in power_df.columns]
-        power_heatmap = create_heatmap(power_df, "Power Heatmap")
-        return pn.Row(power_heatmap)
-    return pn.pane.Markdown("")
-
-
-@pn.depends(heatmap_irradiance.param.value)
-def update_heatmap_irradiance(heatmap_irradiance):
-    if heatmap_irradiance:
-        irradiance_df = daily_timeseries_data.filter(like="G")
-        irradiance_df.columns = [i.split("-")[1] for i in irradiance_df.columns]
-        irradiance_heatmap = create_heatmap(irradiance_df, "Irradiance " "Heatmap")
-        return pn.Row(irradiance_heatmap)
-    return pn.pane.Markdown("")
-
-
-@pn.depends(heatmap_temperature.param.value)
-def update_heatmap_temperature(heatmap_temperature):
-    if heatmap_temperature:
-        temp_df = daily_timeseries_data.filter(like="THeatSink")
-        temp_df.columns = [i.split("-")[1] for i in temp_df.columns]
-        temp_heatmap = create_heatmap(temp_df, "T-Heatsink Heatmap")
-        return pn.Row(temp_heatmap)
-    return pn.pane.Markdown("")
-
-
-# Create dashboard layout
-dashboard = pn.Column(
-    "# ENEL Dashboard",
-    # IV Plots
-    pn.Row(
-        pn.Column(inverter_ids, plot_power_curves, plot_temperature_curves),
-        pn.panel(update_iv_plot, sizing_mode="stretch_width"),
-    ),
-    # Heatmaps
-    pn.Row(
-        pn.Column(heatmap_pr), pn.panel(update_heatmap_pr, sizing_mode="stretch_width")
-    ),
-    pn.Row(
-        pn.Column(heatmap_sy), pn.panel(update_heatmap_sy, sizing_mode="stretch_width")
-    ),
-    pn.Row(
-        pn.Column(heatmap_current),
-        pn.panel(update_heatmap_current, sizing_mode="stretch_width"),
-    ),
-    pn.Row(
-        pn.Column(heatmap_voltage),
-        pn.panel(update_heatmap_voltage, sizing_mode="stretch_width"),
-    ),
-    pn.Row(
-        pn.Column(heatmap_power),
-        pn.panel(update_heatmap_power, sizing_mode="stretch_width"),
-    ),
-    pn.Row(
-        pn.Column(heatmap_irradiance),
-        pn.panel(update_heatmap_irradiance, sizing_mode="stretch_width"),
-    ),
-    pn.Row(
-        pn.Column(heatmap_temperature),
-        pn.panel(update_heatmap_temperature, sizing_mode="stretch_width"),
-    ),
-)
-
-# Serve the dashboard
-dashboard.servable()
+import panel as pn
+import pandas as pd
+
+from consts import INVERTER_ID_MAPPING, TEMPERATURE_COLUMNS_TO_USE
+from plotting import (
+    create_heatmap,
+    create_iv_plot_with_power_curves,
+    create_iv_plot,
+    create_iv_plot_with_power_and_temperature_curves,
+    create_iv_plot_with_temperature_curves,
+)
+
+# Read metadata to get the date range
+timeseries_data = pd.read_csv(
+    r"multi_index_timeseries_data.csv",
+    index_col=0,
+    header=[0, 2],
+    parse_dates=True,
+)
+other_features_data = pd.read_csv(
+    r"other_features_data.csv", index_col=0, header=0, parse_dates=True
+)
+other_features_data = other_features_data[TEMPERATURE_COLUMNS_TO_USE]
+kpi_data = pd.read_csv(
+    r"kpi_data.csv", index_col=0, header=0, parse_dates=True
+)
+daily_timeseries_data = pd.read_csv(
+    r"daily_aggregated_timeseries_data.csv",
+    index_col=0,
+    header=0,
+    parse_dates=True,
+)
+
+# Initialize Panel extension
+pn.extension("plotly")
+
+# Widgets for selecting columns
+inverter_ids = pn.widgets.MultiSelect(
+    name="Inverter IDs",
+    value=[list(INVERTER_ID_MAPPING.keys())[0]],
+    options=list(INVERTER_ID_MAPPING.keys()),
+    size=8,
+)
+# Line Plots
+plot_power_curves = pn.widgets.Checkbox(name="Plot P-dc and P-ac", value=False)
+plot_temperature_curves = pn.widgets.Checkbox(name="Plot Temperatures", value=False)
+
+# Heatmaps
+heatmap_pr = pn.widgets.Checkbox(name="Heat Map PR", value=False)
+heatmap_sy = pn.widgets.Checkbox(name="Heat Map SY", value=False)
+heatmap_current = pn.widgets.Checkbox(name="Heat Map - Current", value=False)
+heatmap_voltage = pn.widgets.Checkbox(name="Heat Map - Voltage", value=False)
+heatmap_power = pn.widgets.Checkbox(name="Heat Map - Power", value=False)
+heatmap_irradiance = pn.widgets.Checkbox(name="Heat Map - Irradiance", value=False)
+heatmap_temperature = pn.widgets.Checkbox(
+    name="Heat Map - Temperature " "Heatsink", value=False
+)
+
+# Create a loading spinner
+loading_spinner = pn.indicators.LoadingSpinner(width=50, height=50)
+
+
+# Panel interactive functions
+@pn.depends(
+    inverter_ids.param.value,
+    plot_power_curves.param.value,
+    plot_temperature_curves.param.value,
+)
+def update_iv_plot(inverter_ids, plot_power_curves, plot_temperature_curves):
+    if not inverter_ids:
+        return pn.pane.Markdown("No Inverters selected for Plotting.")
+    else:
+        # Plot IV + Power + Temperature Curves
+        if plot_power_curves and plot_temperature_curves:
+            print("Plotting IV + Power + Temperature Curves")
+            return create_iv_plot_with_power_and_temperature_curves(
+                timeseries_data, other_features_data, inverter_ids
+            )
+        # Plot IV + Temperature Curves
+        elif (not plot_power_curves) and plot_temperature_curves:
+            print("Plot IV + Temperature Curves")
+            return create_iv_plot_with_temperature_curves(
+                timeseries_data, other_features_data, inverter_ids
+            )
+        # Plot IV + Power Curves
+        elif plot_power_curves and (not plot_temperature_curves):
+            print("Plot IV + Power Curves")
+            return create_iv_plot_with_power_curves(timeseries_data, inverter_ids)
+        # Plot only IV Curves
+        else:
+            print("Plot only IV Curves")
+            return create_iv_plot(timeseries_data, inverter_ids)
+
+
+@pn.depends(heatmap_pr.param.value)
+def update_heatmap_pr(heatmap_pr):
+    if heatmap_pr:
+        pr_df = kpi_data.filter(like="pr")
+        pr_df.columns = [i.split("-")[1] for i in pr_df.columns]
+        pr_heatmap = create_heatmap(pr_df, "PR Heatmap")
+        return pn.Row(pr_heatmap)
+    return pn.pane.Markdown("")
+
+
+@pn.depends(heatmap_sy.param.value)
+def update_heatmap_sy(heatmap_sy):
+    if heatmap_sy:
+        sy_df = kpi_data.filter(like="daily_specific_yield")
+        sy_df.columns = [i.split("-")[1] for i in sy_df.columns]
+        sy_heatmap = create_heatmap(sy_df, "SY Heatmap")
+        return pn.Row(sy_heatmap)
+    return pn.pane.Markdown("")
+
+
+@pn.depends(heatmap_current.param.value)
+def update_heatmap_current(heatmap_current):
+    if heatmap_current:
+        current_df = daily_timeseries_data.filter(like="I")
+        current_df.columns = [i.split("-")[1] for i in current_df.columns]
+        current_heatmap = create_heatmap(current_df, "Current Heatmap")
+        return pn.Row(current_heatmap)
+    return pn.pane.Markdown("")
+
+
+@pn.depends(heatmap_voltage.param.value)
+def update_heatmap_voltage(heatmap_voltage):
+    if heatmap_voltage:
+        voltage_df = daily_timeseries_data.filter(like="V")
+        voltage_df.columns = [i.split("-")[1] for i in voltage_df.columns]
+        voltage_heatmap = create_heatmap(voltage_df, "Voltage Heatmap")
+        return pn.Row(voltage_heatmap)
+    return pn.pane.Markdown("")
+
+
+@pn.depends(heatmap_power.param.value)
+def update_heatmap_power(heatmap_power):
+    if heatmap_power:
+        power_df = daily_timeseries_data.filter(like="P")
+        power_df.columns = [i.split("-")[1] for i in power_df.columns]
+        power_heatmap = create_heatmap(power_df, "Power Heatmap")
+        return pn.Row(power_heatmap)
+    return pn.pane.Markdown("")
+
+
+@pn.depends(heatmap_irradiance.param.value)
+def update_heatmap_irradiance(heatmap_irradiance):
+    if heatmap_irradiance:
+        irradiance_df = daily_timeseries_data.filter(like="G")
+        irradiance_df.columns = [i.split("-")[1] for i in irradiance_df.columns]
+        irradiance_heatmap = create_heatmap(irradiance_df, "Irradiance " "Heatmap")
+        return pn.Row(irradiance_heatmap)
+    return pn.pane.Markdown("")
+
+
+@pn.depends(heatmap_temperature.param.value)
+def update_heatmap_temperature(heatmap_temperature):
+    if heatmap_temperature:
+        temp_df = daily_timeseries_data.filter(like="THeatSink")
+        temp_df.columns = [i.split("-")[1] for i in temp_df.columns]
+        temp_heatmap = create_heatmap(temp_df, "T-Heatsink Heatmap")
+        return pn.Row(temp_heatmap)
+    return pn.pane.Markdown("")
+
+
+# Create dashboard layout
+dashboard = pn.Column(
+    "# ENEL Dashboard",
+    # IV Plots
+    pn.Row(
+        pn.Column(inverter_ids, plot_power_curves, plot_temperature_curves),
+        pn.panel(update_iv_plot, sizing_mode="stretch_width"),
+    ),
+    # Heatmaps
+    pn.Row(
+        pn.Column(heatmap_pr), pn.panel(update_heatmap_pr, sizing_mode="stretch_width")
+    ),
+    pn.Row(
+        pn.Column(heatmap_sy), pn.panel(update_heatmap_sy, sizing_mode="stretch_width")
+    ),
+    pn.Row(
+        pn.Column(heatmap_current),
+        pn.panel(update_heatmap_current, sizing_mode="stretch_width"),
+    ),
+    pn.Row(
+        pn.Column(heatmap_voltage),
+        pn.panel(update_heatmap_voltage, sizing_mode="stretch_width"),
+    ),
+    pn.Row(
+        pn.Column(heatmap_power),
+        pn.panel(update_heatmap_power, sizing_mode="stretch_width"),
+    ),
+    pn.Row(
+        pn.Column(heatmap_irradiance),
+        pn.panel(update_heatmap_irradiance, sizing_mode="stretch_width"),
+    ),
+    pn.Row(
+        pn.Column(heatmap_temperature),
+        pn.panel(update_heatmap_temperature, sizing_mode="stretch_width"),
+    ),
+)
+
+# Serve the dashboard
+dashboard.servable()