Delete app.py

app.py

@@ -1,231 +0,0 @@
-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"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"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(
-    "kpi_data.csv", index_col=0, header=0, parse_dates=True
-)
-
-daily_timeseries_data = pd.read_csv(
-    "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
-
-# Panel interactive functions
-@pn.depends(
-    inverter_ids.param.value,
-    plot_power_curves.param.value,
-    plot_temperature_curves.param.value,
-    month_selector.param.value
-)
-def update_iv_plot(inverter_ids, plot_power_curves, plot_temperature_curves, selected_month):
-    global loaded_timeseries_data, loaded_other_features_data
-    if not selected_month:
-        return pn.pane.Markdown("Please select a month to load data.")
-    
-    if loaded_timeseries_data is None or loaded_other_features_data is None:
-        loaded_timeseries_data = load_timeseries_data_for_month(selected_month)
-        loaded_other_features_data = load_other_features_data_for_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()