Create app.py

app.py

@@ -0,0 +1,233 @@
+import panel as pn
+import pandas as pd
+import os
+
+from consts import INVERTER_ID_MAPPING, TEMPERATURE_COLUMNS_TO_USE, CURRENT, IRRADIANCE, VOLTAGE, POWER_DC, POWER_AC, T_AMBIENT, T_MODULE, T_HEATSINK, T_CPU, T_BOARD
+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,
+)
+
+# Function to load chunked data based on month selection
+def load_timeseries_data_for_month(month):
+    start_date = pd.to_datetime(month).strftime('%Y-%m-01')
+    end_date = (pd.to_datetime(month) + pd.offsets.MonthEnd()).strftime('%Y-%m-%d')
+    file_name = f"timeseries_chunks/enel_timeseries_data_{start_date}_{end_date}.csv"
+    if not os.path.exists(file_name):
+        return None
+    return pd.read_csv(file_name, index_col=0, header=[0, 1, 2], parse_dates=True)
+
+def load_other_features_data_for_month(month):
+    start_date = pd.to_datetime(month).strftime('%Y-%m-01')
+    end_date = (pd.to_datetime(month) + pd.offsets.MonthEnd()).strftime('%Y-%m-%d')
+    file_name = f"other_features_chunks/enel_other_features_data_{start_date}_{end_date}.csv"
+    if not os.path.exists(file_name):
+        return None
+    return pd.read_csv(file_name, index_col=0, header=0, parse_dates=True)
+
+# Define the available months
+months = pd.date_range(start='2022-09-01', end='2023-08-31', freq='MS').strftime('%Y-%m').tolist()
+
+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 month and columns
+month_selector = pn.widgets.Select(
+    name='Choose a Month',
+    options=months,
+)
+
+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)
+
+# Global variables to store loaded data
+loaded_timeseries_data = None
+loaded_other_features_data = None
+loaded_month = None
+
+# Panel interactive functions
+@pn.depends(
+    month_selector.param.value,
+    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, selected_month):
+    global loaded_timeseries_data, loaded_other_features_data, loaded_month
+    if not selected_month:
+        return pn.pane.Markdown("Please select a month to load data.")
+    
+    if loaded_month != selected_month:
+        loaded_timeseries_data = load_timeseries_data_for_month(selected_month)
+        loaded_other_features_data = load_other_features_data_for_month(selected_month)
+        loaded_month = selected_month
+    
+    if loaded_timeseries_data is None or loaded_other_features_data is None:
+        return pn.pane.Markdown("No data available for the selected month.")
+    
+    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:
+            return create_iv_plot_with_power_and_temperature_curves(
+                loaded_timeseries_data, loaded_other_features_data, inverter_ids
+            )
+        # Plot IV + Temperature Curves
+        elif (not plot_power_curves) and plot_temperature_curves:
+            return create_iv_plot_with_temperature_curves(
+                loaded_timeseries_data, loaded_other_features_data, inverter_ids
+            )
+        # Plot IV + Power Curves
+        elif plot_power_curves and (not plot_temperature_curves):
+            return create_iv_plot_with_power_curves(loaded_timeseries_data, inverter_ids)
+        # Plot only IV Curves
+        else:
+            return create_iv_plot(loaded_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",
+    month_selector,
+    # 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()