Update code/app.py

update for mobile responsiveness

code/app.py

@@ -1,873 +1,848 @@
-import panel as pn
-import pandas as pd
-import param
-from bokeh.models.formatters import PrintfTickFormatter
-
-# Initialize Panel extension for Tabulator and set a global sizing mode
-pn.extension(
-    "tabulator",
-    sizing_mode="stretch_width",
-    template="fast",
-    # theme = 'dark',
-)
-
-# --- Styling Placeholders (as per user instruction) ---
-slider_design = {}
-slider_style = {}
-slider_stylesheet = []
-
-
-# --- Helper for NumberFormatters ---
-def get_formatter(format_str):
-    if format_str == "%i":
-        return pn.widgets.tables.NumberFormatter(format="0")
-    elif format_str == "%.1f":
-        return pn.widgets.tables.NumberFormatter(format="0.0")
-    elif format_str == "%.2f":
-        return pn.widgets.tables.NumberFormatter(format="0.00")
-    elif format_str == "%.4f":
-        return pn.widgets.tables.NumberFormatter(format="0.0000")
-    elif format_str == "$%.02f":
-        return pn.widgets.tables.NumberFormatter(format="$0,0.00")
-    return format_str
-
-
-class CannabinoidEstimator(param.Parameterized):
-    # --- Input Parameters ---
-    kg_processed_per_hour = param.Number(
-        default=150.0,
-        bounds=(0, 2000),
-        step=1.0,
-        label="Biomass processed per hour (kg)",
-    )
-    finished_product_yield_pct = param.Number(
-        default=60.0,
-        bounds=(0.01, 100),
-        step=0.01,
-        label="Product yield: CBx Weight Output / Weight Input (%)",
-    )
-    kwh_rate = param.Number(
-        default=0.25, bounds=(0.01, 5), step=0.01, label="Power rate ($ per kWh)"
-    )
-    water_cost_per_1000l = param.Number(
-        default=2.50,
-        bounds=(0.01, 10),
-        step=0.01,
-        label="Water rate ($ per 1000L / m3)",
-    )
-    consumables_per_kg_bio_rate = param.Number(
-        default=0.0032,
-        bounds=(0, 10),
-        step=0.0001,
-        label="Other Consumables rate ($ per kg biomass)",
-    )
-    kwh_per_kg_bio = param.Number(
-        default=0.25,
-        bounds=(0.05, 15),
-        step=0.01,
-        label="Power consumption (kWh per kg biomass)",
-    )
-    water_liters_consumed_per_kg_bio = param.Number(
-        default=3.0,
-        bounds=(0.1, 100),
-        step=0.1,
-        label="Water consumption (liters per kg biomass)",
-    )
-    consumables_per_kg_output = param.Number(
-        default=10.0,
-        bounds=(0, 100),
-        step=0.01,
-        label="Consumables per kg finished product ($)",
-    )
-    bio_cbx_pct = param.Number(
-        default=10.0, bounds=(0, 30), step=0.1, label="Cannabinoid (CBx) in biomass (%)"
-    )
-    bio_cost = param.Number(
-        default=3.0,
-        bounds=(0, 200),
-        step=0.25,
-        label="Biomass purchase cost ($ per kg)",
-    )
-    wholesale_cbx_price = param.Number(
-        default=220.0,
-        bounds=(25, 6000),
-        step=5.0,
-        label="Gross revenue ($ per kg output)",
-    )
-    wholesale_cbx_pct = param.Number(
-        default=99.9, bounds=(0, 100), step=0.01, label="CBx in finished product (%)"
-    )
-    batch_test_cost = param.Number(
-        default=1300.0,
-        bounds=(100, 5000),
-        step=25.0,
-        label="Per-batch testing/compliance costs ($)",
-    )
-    fixed_overhead_per_week = param.Number(
-        default=2000.0, bounds=(0, 10000), step=1.0, label="Weekly fixed costs ($)"
-    )
-    workers_per_shift = param.Number(
-        default=9.0, bounds=(1, 20), step=1.0, label="Workers per shift"
-    )
-    worker_hourly_rate = param.Number(
-        default=5.0, bounds=(0.25, 50), step=0.25, label="Worker loaded pay rate ($/hr)"
-    )
-    managers_per_shift = param.Number(
-        default=1.0, bounds=(1, 10), step=1.0, label="Supervisors per shift"
-    )
-    manager_hourly_rate = param.Number(
-        default=10.0,
-        bounds=(5.0, 50),
-        step=0.25,
-        label="Supervisor loaded pay rate ($/hr)",
-    )
-    processing_hours_per_shift = param.Number(
-        default=7.0, bounds=(0.25, 8.0), step=0.25, label="Processing hours per shift"
-    )
-    labour_hours_per_shift = param.Number(
-        default=8.0, bounds=(6.0, 12), step=0.25, label="Labor hours per shift"
-    )
-    shifts_per_day = param.Number(
-        default=3.0, bounds=(1, 10), step=1.0, label="Shifts per day"
-    )
-    shifts_per_week = param.Number(
-        default=21.0, bounds=(1, 28), step=1.0, label="Shifts per week"
-    )
-
-    kg_processed_per_shift = 0.0
-    labour_cost_per_shift = 0.0
-    variable_cost_per_shift = 0.0
-    overhead_cost_per_shift = 0.0
-    saleable_kg_per_kg_bio = 0.0
-    saleable_kg_per_shift = 0.0
-    saleable_kg_per_day = 0.0
-    saleable_kg_per_week = 0.0
-    biomass_kg_per_saleable_kg = 0.0
-    internal_cogs_per_kg_bio = 0.0
-    internal_cogs_per_shift = 0.0
-    internal_cogs_per_day = 0.0
-    internal_cogs_per_week = 0.0
-    internal_cogs_per_kg_output = 0.0
-    biomass_cost_per_shift = 0.0
-    biomass_cost_per_day = 0.0
-    biomass_cost_per_week = 0.0
-    biomass_cost_per_kg_output = 0.0
-    gross_rev_per_kg_bio = 0.0
-    gross_rev_per_shift = 0.0
-    gross_rev_per_day = 0.0
-    gross_rev_per_week = 0.0
-    net_rev_per_kg_bio = 0.0
-    net_rev_per_shift = 0.0
-    net_rev_per_day = 0.0
-    net_rev_per_week = 0.0
-    net_rev_per_kg_output = 0.0
-    operating_profit_pct = 0.0
-    resin_spread_pct = 0.0
-
-    money_data_df = param.DataFrame(pd.DataFrame())
-    profit_data_df = param.DataFrame(pd.DataFrame())
-    processing_data_df = param.DataFrame(pd.DataFrame())
-
-    def __init__(self, **params):
-        super().__init__(**params)
-        self._create_sliders()
-        self.money_table = pn.widgets.Tabulator(
-            self.money_data_df,
-            formatters=self._get_money_formatters(),
-            disabled=True,
-            layout="fit_data_table",
-            sizing_mode="fixed",
-            align="center",
-            show_index=False,  # Hide index column
-        )
-        self.profit_table = pn.widgets.Tabulator(
-            self.profit_data_df,
-            disabled=True,
-            layout="fit_data_table",
-            sizing_mode="fixed",
-            align="center",
-            show_index=False,  # Hide index column
-        )
-        self.processing_table = pn.widgets.Tabulator(
-            self.processing_data_df,
-            formatters={},
-            disabled=True,
-            layout="fit_data_table",
-            sizing_mode="fixed",
-            align="center",
-            show_index=False,  # Hide index column
-        )
-        self._update_calculations()
-
-    def _create_sliders(self):
-        self.kg_processed_per_hour_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.kg_processed_per_hour,
-            name=self.param.kg_processed_per_hour.label,  # Updated
-            fixed_start=self.param.kg_processed_per_hour.bounds[0],
-            fixed_end=self.param.kg_processed_per_hour.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            # format="0",
-            format=PrintfTickFormatter(format="%i kg"),
-        )
-        self.finished_product_yield_pct_slider = (
-            pn.widgets.EditableFloatSlider.from_param(
-                self.param.finished_product_yield_pct,
-                name=self.param.finished_product_yield_pct.label,  # Updated
-                fixed_start=self.param.finished_product_yield_pct.bounds[0],
-                fixed_end=self.param.finished_product_yield_pct.bounds[1],
-                design=slider_design,
-                styles=slider_style,
-                stylesheets=slider_stylesheet,
-                format="0.00",
-            )
-        )
-        self.kwh_rate_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.kwh_rate,
-            name=self.param.kwh_rate.label,  # Updated
-            fixed_start=self.param.kwh_rate.bounds[0],
-            fixed_end=self.param.kwh_rate.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0.00",
-            # format=PrintfTickFormatter(format='%.2f per kWh'),
-        )
-        self.water_cost_per_1000l_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.water_cost_per_1000l,
-            name=self.param.water_cost_per_1000l.label,  # Updated
-            fixed_start=self.param.water_cost_per_1000l.bounds[0],
-            fixed_end=self.param.water_cost_per_1000l.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0.00",
-        )
-        self.consumables_per_kg_bio_rate_slider = (
-            pn.widgets.EditableFloatSlider.from_param(
-                self.param.consumables_per_kg_bio_rate,
-                name=self.param.consumables_per_kg_bio_rate.label,  # Updated
-                fixed_start=self.param.consumables_per_kg_bio_rate.bounds[0],
-                fixed_end=self.param.consumables_per_kg_bio_rate.bounds[1],
-                design=slider_design,
-                styles=slider_style,
-                stylesheets=slider_stylesheet,
-                format="0.0000",
-            )
-        )
-        self.kwh_per_kg_bio_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.kwh_per_kg_bio,
-            name=self.param.kwh_per_kg_bio.label,  # Updated
-            fixed_start=self.param.kwh_per_kg_bio.bounds[0],
-            fixed_end=self.param.kwh_per_kg_bio.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0.00",
-        )
-        self.water_liters_consumed_per_kg_bio_slider = (
-            pn.widgets.EditableFloatSlider.from_param(
-                self.param.water_liters_consumed_per_kg_bio,
-                name=self.param.water_liters_consumed_per_kg_bio.label,  # Updated
-                fixed_start=self.param.water_liters_consumed_per_kg_bio.bounds[0],
-                fixed_end=self.param.water_liters_consumed_per_kg_bio.bounds[1],
-                design=slider_design,
-                styles=slider_style,
-                stylesheets=slider_stylesheet,
-                format="0.0",
-            )
-        )
-        self.consumables_per_kg_output_slider = (
-            pn.widgets.EditableFloatSlider.from_param(
-                self.param.consumables_per_kg_output,
-                name=self.param.consumables_per_kg_output.label,  # Updated
-                fixed_start=self.param.consumables_per_kg_output.bounds[0],
-                fixed_end=self.param.consumables_per_kg_output.bounds[1],
-                design=slider_design,
-                styles=slider_style,
-                stylesheets=slider_stylesheet,
-                format="0.00",
-            )
-        )
-        self.bio_cbx_pct_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.bio_cbx_pct,
-            name=self.param.bio_cbx_pct.label,  # Updated
-            fixed_start=self.param.bio_cbx_pct.bounds[0],
-            fixed_end=self.param.bio_cbx_pct.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0.0",
-        )
-        self.bio_cost_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.bio_cost,
-            name=self.param.bio_cost.label,  # Updated
-            fixed_start=self.param.bio_cost.bounds[0],
-            fixed_end=self.param.bio_cost.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0.00",
-        )
-        self.wholesale_cbx_price_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.wholesale_cbx_price,
-            name=self.param.wholesale_cbx_price.label,  # Updated
-            fixed_start=self.param.wholesale_cbx_price.bounds[0],
-            fixed_end=self.param.wholesale_cbx_price.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0",
-        )
-        self.wholesale_cbx_pct_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.wholesale_cbx_pct,
-            name=self.param.wholesale_cbx_pct.label,  # Updated
-            fixed_start=self.param.wholesale_cbx_pct.bounds[0],
-            fixed_end=self.param.wholesale_cbx_pct.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0.00",
-        )
-        self.batch_test_cost_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.batch_test_cost,
-            name=self.param.batch_test_cost.label,  # Updated
-            fixed_start=self.param.batch_test_cost.bounds[0],
-            fixed_end=self.param.batch_test_cost.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0",
-        )
-        self.fixed_overhead_per_week_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.fixed_overhead_per_week,
-            name=self.param.fixed_overhead_per_week.label,  # Updated
-            fixed_start=self.param.fixed_overhead_per_week.bounds[0],
-            fixed_end=self.param.fixed_overhead_per_week.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0",
-        )
-        self.workers_per_shift_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.workers_per_shift,
-            name=self.param.workers_per_shift.label,  # Updated
-            fixed_start=self.param.workers_per_shift.bounds[0],
-            fixed_end=self.param.workers_per_shift.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0",
-        )
-        self.worker_hourly_rate_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.worker_hourly_rate,
-            name=self.param.worker_hourly_rate.label,  # Updated
-            fixed_start=self.param.worker_hourly_rate.bounds[0],
-            fixed_end=self.param.worker_hourly_rate.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0.00",
-        )
-        self.managers_per_shift_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.managers_per_shift,
-            name=self.param.managers_per_shift.label,  # Updated
-            fixed_start=self.param.managers_per_shift.bounds[0],
-            fixed_end=self.param.managers_per_shift.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0",
-        )
-        self.manager_hourly_rate_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.manager_hourly_rate,
-            name=self.param.manager_hourly_rate.label,  # Updated
-            fixed_start=self.param.worker_hourly_rate.default,  # Keeping original logic as per file
-            fixed_end=self.param.manager_hourly_rate.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0.00",
-        )
-
-        # Updated based on previous request
-        self.labour_hours_per_shift_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.labour_hours_per_shift,
-            name=self.param.labour_hours_per_shift.label,  # Updated
-            fixed_start=self.param.labour_hours_per_shift.bounds[
-                0
-            ],  # Changed in previous request
-            fixed_end=self.param.labour_hours_per_shift.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0.00",
-        )
-
-        # Updated based on previous request
-        self.processing_hours_per_shift_slider = (
-            pn.widgets.EditableFloatSlider.from_param(
-                self.param.processing_hours_per_shift,
-                name=self.param.processing_hours_per_shift.label,  # Updated
-                fixed_start=self.param.processing_hours_per_shift.bounds[0],
-                fixed_end=self.labour_hours_per_shift,  # Changed in previous request
-                design=slider_design,
-                styles=slider_style,
-                stylesheets=slider_stylesheet,
-                format="0.00",
-            )
-        )
-
-        self.shifts_per_day_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.shifts_per_day,
-            name=self.param.shifts_per_day.label,  # Updated
-            fixed_start=self.param.shifts_per_day.bounds[0],
-            fixed_end=self.param.shifts_per_day.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0",
-        )
-        self.shifts_per_week_slider = pn.widgets.EditableFloatSlider.from_param(
-            self.param.shifts_per_week,
-            name=self.param.shifts_per_week.label,  # Updated
-            fixed_start=self.param.shifts_per_week.bounds[0],
-            fixed_end=self.param.shifts_per_week.bounds[1],
-            design=slider_design,
-            styles=slider_style,
-            stylesheets=slider_stylesheet,
-            format="0",
-        )
-
-    @param.depends(
-        "kg_processed_per_hour",
-        "finished_product_yield_pct",
-        "kwh_rate",
-        "water_cost_per_1000l",
-        "consumables_per_kg_bio_rate",
-        "kwh_per_kg_bio",
-        "water_liters_consumed_per_kg_bio",
-        "consumables_per_kg_output",
-        "bio_cbx_pct",
-        "bio_cost",
-        "wholesale_cbx_price",
-        "wholesale_cbx_pct",
-        "batch_test_cost",
-        "fixed_overhead_per_week",
-        "workers_per_shift",
-        "worker_hourly_rate",
-        "managers_per_shift",
-        "manager_hourly_rate",
-        "labour_hours_per_shift",
-        "processing_hours_per_shift",
-        "shifts_per_day",
-        "shifts_per_week",
-        watch=True,
-    )
-    def _update_calculations(self, *events):
-        self.kg_processed_per_shift = (
-            self.processing_hours_per_shift * self.kg_processed_per_hour
-        )
-        if self.shifts_per_week == 0:
-            self.shifts_per_week = 1
-
-        self._calc_saleable_kg()
-        self._calc_biomass_cost()
-        self._calc_cogs()
-        self._calc_gross_revenue()
-        self._calc_net_revenue()
-
-        self.operating_profit_pct = (
-            (self.net_rev_per_kg_bio / self.gross_rev_per_kg_bio)
-            if self.gross_rev_per_kg_bio
-            else 0.0
-        )
-        self.resin_spread_pct = (
-            ((self.gross_rev_per_kg_bio - self.bio_cost) / self.bio_cost)
-            if self.bio_cost
-            else 0.0
-        )
-
-        self._update_tables_data()
-
-    @param.depends("labour_hours_per_shift", watch=True)
-    def _update_processing_hours_slider_constraints(self):
-        new_max_processing_hours = self.labour_hours_per_shift
-
-        # Get the current lower bound of the processing_hours_per_shift parameter
-        current_min_processing_hours = self.param.processing_hours_per_shift.bounds[0]
-
-        # Update the bounds of the underlying param.Number object for processing_hours_per_shift
-        # This allows the parameter to accept values up to the new maximum
-        self.param.processing_hours_per_shift.bounds = (
-            current_min_processing_hours,
-            new_max_processing_hours,
-        )
-
-        # Ensure the slider widget has been created before trying to access it
-        if hasattr(self, "processing_hours_per_shift_slider"):
-            # Update the 'end' property of the slider widget
-            self.processing_hours_per_shift_slider.end = new_max_processing_hours
-
-            # If the current value of processing_hours_per_shift is now greater than
-            # the new maximum, adjust it to be the new maximum.
-            if self.processing_hours_per_shift > new_max_processing_hours:
-                self.processing_hours_per_shift = new_max_processing_hours
-
-    def _calc_cogs(self):
-        worker_cost = self.workers_per_shift * self.worker_hourly_rate
-        manager_cost = self.managers_per_shift * self.manager_hourly_rate
-        self.labour_cost_per_shift = (
-            worker_cost + manager_cost
-        ) * self.labour_hours_per_shift
-
-        power_cost_per_kg = self.kwh_rate * self.kwh_per_kg_bio
-        water_cost_per_kg = (
-            self.water_cost_per_1000l / 1000.0
-        ) * self.water_liters_consumed_per_kg_bio
-        total_variable_consumable_cost_per_kg = (
-            self.consumables_per_kg_bio_rate + power_cost_per_kg + water_cost_per_kg
-        )
-        self.variable_cost_per_shift = (
-            total_variable_consumable_cost_per_kg * self.kg_processed_per_shift
-        )
-
-        self.overhead_cost_per_shift = (
-            self.fixed_overhead_per_week / self.shifts_per_week
-            if self.shifts_per_week > 0
-            else 0.0
-        )
-
-        shift_cogs_before_output_specific = (
-            self.labour_cost_per_shift
-            + self.variable_cost_per_shift
-            + self.overhead_cost_per_shift
-        )
-        shift_output_specific_cogs = (
-            self.consumables_per_kg_output * self.saleable_kg_per_shift
-        )
-
-        self.internal_cogs_per_shift = (
-            shift_cogs_before_output_specific + shift_output_specific_cogs
-        )
-        self.internal_cogs_per_kg_bio = (
-            self.internal_cogs_per_shift / self.kg_processed_per_shift
-            if self.kg_processed_per_shift > 0
-            else 0.0
-        )
-        self.internal_cogs_per_day = self.internal_cogs_per_shift * self.shifts_per_day
-        self.internal_cogs_per_week = (
-            self.internal_cogs_per_shift * self.shifts_per_week
-        )
-        self.internal_cogs_per_kg_output = (
-            (self.internal_cogs_per_kg_bio * self.biomass_kg_per_saleable_kg)
-            if self.biomass_kg_per_saleable_kg != 0
-            else 0.0
-        )
-
-    def _calc_gross_revenue(self):
-        self.gross_rev_per_kg_bio = (
-            self.saleable_kg_per_kg_bio * self.wholesale_cbx_price
-        )
-        self.gross_rev_per_shift = (
-            self.gross_rev_per_kg_bio * self.kg_processed_per_shift
-        )
-        self.gross_rev_per_day = self.gross_rev_per_shift * self.shifts_per_day
-        self.gross_rev_per_week = self.gross_rev_per_shift * self.shifts_per_week
-
-    def _calc_net_revenue(self):
-        self.net_rev_per_kg_bio = (
-            self.gross_rev_per_kg_bio - self.internal_cogs_per_kg_bio - self.bio_cost
-        )
-        self.net_rev_per_shift = self.net_rev_per_kg_bio * self.kg_processed_per_shift
-        self.net_rev_per_day = self.net_rev_per_shift * self.shifts_per_day
-        self.net_rev_per_week = self.net_rev_per_shift * self.shifts_per_week
-        self.net_rev_per_kg_output = (
-            (self.biomass_kg_per_saleable_kg * self.net_rev_per_kg_bio)
-            if self.biomass_kg_per_saleable_kg != 0
-            else 0.0
-        )
-
-    def _calc_biomass_cost(self):
-        self.biomass_cost_per_shift = self.kg_processed_per_shift * self.bio_cost
-        self.biomass_cost_per_day = self.biomass_cost_per_shift * self.shifts_per_day
-        self.biomass_cost_per_week = self.biomass_cost_per_shift * self.shifts_per_week
-
-    def _calc_saleable_kg(self):
-        if self.wholesale_cbx_pct == 0:
-            self.saleable_kg_per_kg_bio = 0.0
-        else:
-            self.saleable_kg_per_kg_bio = (
-                (self.bio_cbx_pct / 100.0)
-                * (self.finished_product_yield_pct / 100.0)
-                / (self.wholesale_cbx_pct / 100.0)
-            )
-        self.saleable_kg_per_shift = (
-            self.saleable_kg_per_kg_bio * self.kg_processed_per_shift
-        )
-        self.saleable_kg_per_day = self.saleable_kg_per_shift * self.shifts_per_day
-        self.saleable_kg_per_week = self.saleable_kg_per_shift * self.shifts_per_week
-        self.biomass_kg_per_saleable_kg = (
-            1 / self.saleable_kg_per_kg_bio if self.saleable_kg_per_kg_bio > 0 else 0.0
-        )
-        self.biomass_cost_per_kg_output = (
-            self.biomass_kg_per_saleable_kg * self.bio_cost
-        )
-
-    def _update_tables_data(self):
-        money_data_dict = {
-            " ": ["Biomass cost", "Processing cost", "Gross Revenue", "Net Revenue"],
-            "Per Kilogram of Biomass": [
-                self.bio_cost,
-                self.internal_cogs_per_kg_bio,
-                self.gross_rev_per_kg_bio,
-                self.net_rev_per_kg_bio,
-            ],
-            "Per Kilogram of Output": [
-                self.biomass_cost_per_kg_output,
-                self.internal_cogs_per_kg_output,
-                self.wholesale_cbx_price,
-                self.net_rev_per_kg_output,
-            ],
-            "Per Shift": [
-                self.biomass_cost_per_shift,
-                self.internal_cogs_per_shift,
-                self.gross_rev_per_shift,
-                self.net_rev_per_shift,
-            ],
-            "Per Day": [
-                self.biomass_cost_per_day,
-                self.internal_cogs_per_day,
-                self.gross_rev_per_day,
-                self.net_rev_per_day,
-            ],
-            "Per Week": [
-                self.biomass_cost_per_week,
-                self.internal_cogs_per_week,
-                self.gross_rev_per_week,
-                self.net_rev_per_week,
-            ],
-        }
-        self.money_data_df = pd.DataFrame(money_data_dict)
-        if hasattr(self, "money_table"):
-            self.money_table.value = self.money_data_df
-
-        profit_data_dict = {
-            "Metric": ["Operating Profit", "Resin Spread"],
-            "Value": [
-                f"{self.operating_profit_pct * 100.0:.2f}%",
-                f"{self.resin_spread_pct * 100.0:.2f}%",
-            ],
-        }
-        self.profit_data_df = pd.DataFrame(profit_data_dict)
-        if hasattr(self, "profit_table"):
-            self.profit_table.value = self.profit_data_df
-
-        processing_values_formatted = [
-            f"{self.kg_processed_per_shift:,.0f}",
-            f"${self.labour_cost_per_shift:,.2f}",
-            f"${self.variable_cost_per_shift:,.2f}",
-            f"${self.overhead_cost_per_shift:,.2f}",
-        ]
-        processing_data_dict = {
-            "Metric": [
-                "Kilograms Extracted per Shift",
-                "Labour Cost per Shift",
-                "Variable Cost per Shift",
-                "Overhead per Shift",
-            ],
-            "Value": processing_values_formatted,
-        }
-        self.processing_data_df = pd.DataFrame(processing_data_dict)
-        if hasattr(self, "processing_table"):
-            self.processing_table.value = self.processing_data_df
-
-    def _get_money_formatters(self):
-        return {
-            "Per Kilogram of Biomass": get_formatter("$%.02f"),
-            "Per Kilogram of Output": get_formatter("$%.02f"),
-            "Per Shift": get_formatter("$%.02f"),
-            "Per Day": get_formatter("$%.02f"),
-            "Per Week": get_formatter("$%.02f"),
-        }
-
-    def view(self):
-        col1 = pn.Column(
-            pn.pane.Markdown("## Extraction"),
-            pn.Row(
-                self.kg_processed_per_hour_slider,  # Updated
-            ),
-            pn.Row(
-                self.finished_product_yield_pct_slider,  # Updated
-            ),
-            pn.pane.Markdown("## Biomass parameters"),
-            pn.Row(
-                self.bio_cbx_pct_slider,  # Updated
-            ),
-            pn.Row(
-                self.bio_cost_slider,  # Updated
-            ),
-            sizing_mode="stretch_width",
-        )
-        col2 = pn.Column(
-            pn.pane.Markdown("## Consumable rates"),
-            pn.Row(
-                self.kwh_rate_slider,  # Updated
-            ),
-            pn.Row(
-                self.water_cost_per_1000l_slider,  # Updated
-            ),
-            pn.Row(
-                self.consumables_per_kg_bio_rate_slider,  # Updated
-            ),
-            pn.pane.Markdown("## Wholesale details"),
-            pn.Row(
-                self.wholesale_cbx_price_slider,  # Updated
-            ),
-            pn.Row(
-                self.wholesale_cbx_pct_slider,  # Updated
-            ),
-            sizing_mode="stretch_width",
-        )
-        col3 = pn.Column(
-            pn.pane.Markdown("## Variable costs"),
-            pn.Row(
-                self.kwh_per_kg_bio_slider,  # Updated
-            ),
-            pn.Row(
-                self.water_liters_consumed_per_kg_bio_slider,  # Updated
-            ),
-            pn.Row(
-                self.consumables_per_kg_output_slider,  # Updated
-            ),
-            pn.pane.Markdown("## Compliance"),
-            pn.Row(
-                self.batch_test_cost_slider,  # Updated
-            ),
-            pn.pane.Markdown("## Overhead"),
-            pn.Row(
-                self.fixed_overhead_per_week_slider,  # Updated
-            ),
-            sizing_mode="stretch_width",
-        )
-        col4 = pn.Column(
-            pn.pane.Markdown("## Worker Details"),
-            pn.Row(
-                self.workers_per_shift_slider,  # Updated
-            ),
-            pn.Row(
-                self.worker_hourly_rate_slider,  # Updated
-            ),
-            pn.Row(
-                self.managers_per_shift_slider,  # Updated
-            ),
-            pn.Row(
-                self.manager_hourly_rate_slider,  # Updated
-            ),
-            pn.pane.Markdown("## Shift details"),
-            pn.Row(
-                self.labour_hours_per_shift_slider,  # Updated
-            ),
-            pn.Row(
-                self.processing_hours_per_shift_slider,  # Updated
-            ),
-            pn.Row(
-                self.shifts_per_day_slider,  # Updated
-            ),
-            pn.Row(
-                self.shifts_per_week_slider,  # Updated
-            ),
-            sizing_mode="stretch_width",
-        )
-
-        input_grid = pn.GridSpec(sizing_mode="stretch_width", max_width=1800, margin=10)
-        input_grid[0, 0] = col1
-        input_grid[0, 1] = col2
-        input_grid[0, 2] = col3
-        input_grid[0, 3] = col4
-
-        money_table_display = pn.Column(
-            pn.pane.Markdown("### Financial Summary", styles={"text-align": "center"}),
-            self.money_table,
-        )
-
-        profit_table_display = pn.Column(
-            pn.pane.Markdown(
-                "### Profitability Metrics", styles={"text-align": "center"}
-            ),
-            self.profit_table,
-        )
-
-        processing_table_display = pn.Column(
-            pn.pane.Markdown("### Processing Summary", styles={"text-align": "center"}),
-            self.processing_table,
-        )
-
-        tables_layout = pn.Column(
-            money_table_display,
-            pn.Row(
-                processing_table_display,
-                profit_table_display,
-                align="center",
-            ),
-            #sizing_mode="stretch_width",
-            #max_width=1800,
-            margin=10,
-            align="center",
-        )
-
-        profit_weekly = pn.indicators.Number(
-            name="Weekly Profit",
-            value=self.net_rev_per_week,
-            format=f"${self.net_rev_per_week / 1000:.0f} k",
-            default_color="green",
-            align="center",
-        )
-
-        profit_pct = pn.indicators.Number(
-            name="Operating Profit",
-            value=self.operating_profit_pct,
-            format=f"{self.operating_profit_pct * 100.0:.2f}%",
-            default_color="green",
-            align="center",
-        )
-
-        indicator_layout = pn.Column(profit_pct, profit_weekly, align="center")
-
-        table_grid = pn.GridSpec(sizing_mode="stretch_width", max_width=1800, margin=10)
-        table_grid[:, 0:2] = tables_layout
-        table_grid[:, 2] = indicator_layout
-
-        main_layout = pn.Column(
-            input_grid,
-            pn.layout.Divider(margin=(10, 0)),
-            table_grid,
-            styles={"margin": "0px 10px"},
-        )
-
-        return main_layout
-
-
-estimator_app = CannabinoidEstimator()
-# To run in a Panel server:
-# pn.config.raw_css = custom_themes.get_base_css(custom_themes.DARK_THEME_VARS)
-estimator_app.view().servable(title="CBx Revenue Estimator")
-
-# Instantiate the template with widgets displayed in the sidebar
-# template = pn.template.FastListTemplate(
-#     title="CBx Revenue Estimator (FastList Panel)",
-#     #theme = custom_themes.DarkTheme,
-#     #sidebar=[freq, phase],
-# )
-
-# template.main.append(estimator_app.view())
-# template.servable()
-
-if __name__ == "__main__":
-    pn.serve(
-        estimator_app.view(),
-        title="CBx Revenue Estimator (Panel)",
-        show=True,
-        port=5007,
-    )
+import panel as pn
+import pandas as pd
+import param
+from bokeh.models.formatters import PrintfTickFormatter
+# from custom_themes import AIDefaultTheme, AIDarkTheme
+
+
+# Initialize Panel extension for Tabulator and set a global sizing mode
+pn.extension(
+    "tabulator",
+    sizing_mode="stretch_width",
+    template="fast",
+    # theme = AIDarkTheme,
+)
+
+# --- Styling Placeholders (as per user instruction) ---
+slider_design = {}
+slider_style = {}
+slider_stylesheet = []
+
+
+# --- Helper for NumberFormatters ---
+def get_formatter(format_str):
+    if format_str == "%i":
+        return pn.widgets.tables.NumberFormatter(format="0")
+    elif format_str == "%.1f":
+        return pn.widgets.tables.NumberFormatter(format="0.0")
+    elif format_str == "%.2f":
+        return pn.widgets.tables.NumberFormatter(format="0.00")
+    elif format_str == "%.4f":
+        return pn.widgets.tables.NumberFormatter(format="0.0000")
+    elif format_str == "$%.02f":
+        return pn.widgets.tables.NumberFormatter(format="$0,0.00")
+    return format_str
+
+
+class CannabinoidEstimator(param.Parameterized):
+    # --- Input Parameters ---
+    kg_processed_per_hour = param.Number(
+        default=150.0,
+        bounds=(0, 2000),
+        step=1.0,
+        label="Biomass processed per hour (kg)",
+    )
+    finished_product_yield_pct = param.Number(
+        default=60.0,
+        bounds=(0.01, 100),
+        step=0.01,
+        label="Product yield: CBx Weight Output / Weight Input (%)",
+    )
+    kwh_rate = param.Number(
+        default=0.25, bounds=(0.01, 5), step=0.01, label="Power rate ($ per kWh)"
+    )
+    water_cost_per_1000l = param.Number(
+        default=2.50,
+        bounds=(0.01, 10),
+        step=0.01,
+        label="Water rate ($ per 1000L / m3)",
+    )
+    consumables_per_kg_bio_rate = param.Number(
+        default=0.0032,
+        bounds=(0, 10),
+        step=0.0001,
+        label="Other Consumables rate ($ per kg biomass)",
+    )
+    kwh_per_kg_bio = param.Number(
+        default=0.25,
+        bounds=(0.05, 15),
+        step=0.01,
+        label="Power consumption (kWh per kg biomass)",
+    )
+    water_liters_consumed_per_kg_bio = param.Number(
+        default=3.0,
+        bounds=(0.1, 100),
+        step=0.1,
+        label="Water consumption (liters per kg biomass)",
+    )
+    consumables_per_kg_output = param.Number(
+        default=10.0,
+        bounds=(0, 100),
+        step=0.01,
+        label="Consumables per kg finished product ($)",
+    )
+    bio_cbx_pct = param.Number(
+        default=10.0, bounds=(0, 30), step=0.1, label="Cannabinoid (CBx) in biomass (%)"
+    )
+    bio_cost = param.Number(
+        default=3.0,
+        bounds=(0, 200),
+        step=0.25,
+        label="Biomass purchase cost ($ per kg)",
+    )
+    wholesale_cbx_price = param.Number(
+        default=220.0,
+        bounds=(25, 6000),
+        step=5.0,
+        label="Gross revenue ($ per kg output)",
+    )
+    wholesale_cbx_pct = param.Number(
+        default=99.9, bounds=(0, 100), step=0.01, label="CBx in finished product (%)"
+    )
+    batch_test_cost = param.Number(
+        default=1300.0,
+        bounds=(100, 5000),
+        step=25.0,
+        label="Per-batch testing/compliance costs ($)",
+    )
+    fixed_overhead_per_week = param.Number(
+        default=2000.0, bounds=(0, 10000), step=1.0, label="Weekly fixed costs ($)"
+    )
+    workers_per_shift = param.Number(
+        default=9.0, bounds=(1, 20), step=1.0, label="Workers per shift"
+    )
+    worker_hourly_rate = param.Number(
+        default=5.0, bounds=(0.25, 50), step=0.25, label="Worker loaded pay rate ($/hr)"
+    )
+    managers_per_shift = param.Number(
+        default=1.0, bounds=(1, 10), step=1.0, label="Supervisors per shift"
+    )
+    manager_hourly_rate = param.Number(
+        default=10.0,
+        bounds=(5.0, 50),
+        step=0.25,
+        label="Supervisor loaded pay rate ($/hr)",
+    )
+    processing_hours_per_shift = param.Number(
+        default=7.0, bounds=(0.25, 8.0), step=0.25, label="Processing hours per shift"
+    )
+    labour_hours_per_shift = param.Number(
+        default=8.0, bounds=(6.0, 12), step=0.25, label="Labor hours per shift"
+    )
+    shifts_per_day = param.Number(
+        default=3.0, bounds=(1, 10), step=1.0, label="Shifts per day"
+    )
+    shifts_per_week = param.Number(
+        default=21.0, bounds=(1, 28), step=1.0, label="Shifts per week"
+    )
+
+    kg_processed_per_shift = 0.0
+    labour_cost_per_shift = 0.0
+    variable_cost_per_shift = 0.0
+    overhead_cost_per_shift = 0.0
+    saleable_kg_per_kg_bio = 0.0
+    saleable_kg_per_shift = 0.0
+    saleable_kg_per_day = 0.0
+    saleable_kg_per_week = 0.0
+    biomass_kg_per_saleable_kg = 0.0
+    internal_cogs_per_kg_bio = 0.0
+    internal_cogs_per_shift = 0.0
+    internal_cogs_per_day = 0.0
+    internal_cogs_per_week = 0.0
+    internal_cogs_per_kg_output = 0.0
+    biomass_cost_per_shift = 0.0
+    biomass_cost_per_day = 0.0
+    biomass_cost_per_week = 0.0
+    biomass_cost_per_kg_output = 0.0
+    gross_rev_per_kg_bio = 0.0
+    gross_rev_per_shift = 0.0
+    gross_rev_per_day = 0.0
+    gross_rev_per_week = 0.0
+    net_rev_per_kg_bio = 0.0
+    net_rev_per_shift = 0.0
+    net_rev_per_day = 0.0
+    net_rev_per_week = 0.0
+    net_rev_per_kg_output = 0.0
+    operating_profit_pct = 0.0
+    resin_spread_pct = 0.0
+
+    money_data_df = param.DataFrame(pd.DataFrame())
+    profit_data_df = param.DataFrame(pd.DataFrame())
+    processing_data_df = param.DataFrame(pd.DataFrame())
+
+    def __init__(self, **params):
+        super().__init__(**params)
+        self._create_sliders()
+        self.money_table = pn.widgets.Tabulator(
+            self.money_data_df,
+            formatters=self._get_money_formatters(),
+            disabled=True,
+            layout="fit_data",
+            sizing_mode="fixed",
+            align="center",
+            show_index=False,  # Hide index column
+            text_align={
+                " ": "right",
+                "$/kg Biomass": "center",
+                "$/kg Output": "center",
+                "Per Shift": "center",
+                "Per Day": "center",
+                "Per Week": "center",
+            },
+        )
+        self.profit_table = pn.widgets.Tabulator(
+            self.profit_data_df,
+            disabled=True,
+            layout="fit_data_table",
+            sizing_mode="fixed",
+            align="center",
+            show_index=False,  # Hide index column
+            text_align={
+                "Metric": "right",
+                "Value": "center",
+            },
+        )
+        self.processing_table = pn.widgets.Tabulator(
+            self.processing_data_df,
+            formatters={},
+            disabled=True,
+            layout="fit_data_table",
+            sizing_mode="fixed",
+            align="center",
+            show_index=False,  # Hide index column
+            text_align={
+                "Metric (Per Shift)": "right",
+                "Value": "center",
+            },
+        )
+        self._update_calculations()
+
+    def _create_sliders(self):
+        self.kg_processed_per_hour_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.kg_processed_per_hour,
+            name=self.param.kg_processed_per_hour.label,
+            fixed_start=self.param.kg_processed_per_hour.bounds[0],
+            fixed_end=self.param.kg_processed_per_hour.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            # format="0",
+            format=PrintfTickFormatter(format="%i kg"),
+        )
+        self.finished_product_yield_pct_slider = (
+            pn.widgets.EditableFloatSlider.from_param(
+                self.param.finished_product_yield_pct,
+                name=self.param.finished_product_yield_pct.label,
+                fixed_start=self.param.finished_product_yield_pct.bounds[0],
+                fixed_end=self.param.finished_product_yield_pct.bounds[1],
+                design=slider_design,
+                styles=slider_style,
+                stylesheets=slider_stylesheet,
+                format="0.00",
+            )
+        )
+        self.kwh_rate_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.kwh_rate,
+            name=self.param.kwh_rate.label,
+            fixed_start=self.param.kwh_rate.bounds[0],
+            fixed_end=self.param.kwh_rate.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0.00",
+            # format=PrintfTickFormatter(format='%.2f per kWh'),
+        )
+        self.water_cost_per_1000l_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.water_cost_per_1000l,
+            name=self.param.water_cost_per_1000l.label,
+            fixed_start=self.param.water_cost_per_1000l.bounds[0],
+            fixed_end=self.param.water_cost_per_1000l.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0.00",
+        )
+        self.consumables_per_kg_bio_rate_slider = (
+            pn.widgets.EditableFloatSlider.from_param(
+                self.param.consumables_per_kg_bio_rate,
+                name=self.param.consumables_per_kg_bio_rate.label,
+                fixed_start=self.param.consumables_per_kg_bio_rate.bounds[0],
+                fixed_end=self.param.consumables_per_kg_bio_rate.bounds[1],
+                design=slider_design,
+                styles=slider_style,
+                stylesheets=slider_stylesheet,
+                format="0.0000",
+            )
+        )
+        self.kwh_per_kg_bio_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.kwh_per_kg_bio,
+            name=self.param.kwh_per_kg_bio.label,
+            fixed_start=self.param.kwh_per_kg_bio.bounds[0],
+            fixed_end=self.param.kwh_per_kg_bio.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0.00",
+        )
+        self.water_liters_consumed_per_kg_bio_slider = (
+            pn.widgets.EditableFloatSlider.from_param(
+                self.param.water_liters_consumed_per_kg_bio,
+                name=self.param.water_liters_consumed_per_kg_bio.label,
+                fixed_start=self.param.water_liters_consumed_per_kg_bio.bounds[0],
+                fixed_end=self.param.water_liters_consumed_per_kg_bio.bounds[1],
+                design=slider_design,
+                styles=slider_style,
+                stylesheets=slider_stylesheet,
+                format="0.0",
+            )
+        )
+        self.consumables_per_kg_output_slider = (
+            pn.widgets.EditableFloatSlider.from_param(
+                self.param.consumables_per_kg_output,
+                name=self.param.consumables_per_kg_output.label,
+                fixed_start=self.param.consumables_per_kg_output.bounds[0],
+                fixed_end=self.param.consumables_per_kg_output.bounds[1],
+                design=slider_design,
+                styles=slider_style,
+                stylesheets=slider_stylesheet,
+                format="0.00",
+            )
+        )
+        self.bio_cbx_pct_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.bio_cbx_pct,
+            name=self.param.bio_cbx_pct.label,
+            fixed_start=self.param.bio_cbx_pct.bounds[0],
+            fixed_end=self.param.bio_cbx_pct.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0.0",
+        )
+        self.bio_cost_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.bio_cost,
+            name=self.param.bio_cost.label,
+            fixed_start=self.param.bio_cost.bounds[0],
+            fixed_end=self.param.bio_cost.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0.00",
+        )
+        self.wholesale_cbx_price_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.wholesale_cbx_price,
+            name=self.param.wholesale_cbx_price.label,
+            fixed_start=self.param.wholesale_cbx_price.bounds[0],
+            fixed_end=self.param.wholesale_cbx_price.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0",
+        )
+        self.wholesale_cbx_pct_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.wholesale_cbx_pct,
+            name=self.param.wholesale_cbx_pct.label,
+            fixed_start=self.param.wholesale_cbx_pct.bounds[0],
+            fixed_end=self.param.wholesale_cbx_pct.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0.00",
+        )
+        self.batch_test_cost_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.batch_test_cost,
+            name=self.param.batch_test_cost.label,
+            fixed_start=self.param.batch_test_cost.bounds[0],
+            fixed_end=self.param.batch_test_cost.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0",
+        )
+        self.fixed_overhead_per_week_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.fixed_overhead_per_week,
+            name=self.param.fixed_overhead_per_week.label,
+            fixed_start=self.param.fixed_overhead_per_week.bounds[0],
+            fixed_end=self.param.fixed_overhead_per_week.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0",
+        )
+        self.workers_per_shift_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.workers_per_shift,
+            name=self.param.workers_per_shift.label,
+            fixed_start=self.param.workers_per_shift.bounds[0],
+            fixed_end=self.param.workers_per_shift.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0",
+        )
+        self.worker_hourly_rate_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.worker_hourly_rate,
+            name=self.param.worker_hourly_rate.label,
+            fixed_start=self.param.worker_hourly_rate.bounds[0],
+            fixed_end=self.param.worker_hourly_rate.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0.00",
+        )
+        self.managers_per_shift_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.managers_per_shift,
+            name=self.param.managers_per_shift.label,
+            fixed_start=self.param.managers_per_shift.bounds[0],
+            fixed_end=self.param.managers_per_shift.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0",
+        )
+        self.manager_hourly_rate_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.manager_hourly_rate,
+            name=self.param.manager_hourly_rate.label,
+            fixed_start=self.param.worker_hourly_rate.default,  # Keeping original logic as per file
+            fixed_end=self.param.manager_hourly_rate.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0.00",
+        )
+
+        self.labour_hours_per_shift_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.labour_hours_per_shift,
+            name=self.param.labour_hours_per_shift.label,
+            fixed_start=self.param.labour_hours_per_shift.bounds[
+                0
+            ],  # Changed in previous request
+            fixed_end=self.param.labour_hours_per_shift.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0.00",
+        )
+
+        self.processing_hours_per_shift_slider = (
+            pn.widgets.EditableFloatSlider.from_param(
+                self.param.processing_hours_per_shift,
+                name=self.param.processing_hours_per_shift.label,
+                fixed_start=self.param.processing_hours_per_shift.bounds[0],
+                fixed_end=self.labour_hours_per_shift,  # Changed in previous request
+                design=slider_design,
+                styles=slider_style,
+                stylesheets=slider_stylesheet,
+                format="0.00",
+            )
+        )
+
+        self.shifts_per_day_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.shifts_per_day,
+            name=self.param.shifts_per_day.label,
+            fixed_start=self.param.shifts_per_day.bounds[0],
+            fixed_end=self.param.shifts_per_day.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0",
+        )
+        self.shifts_per_week_slider = pn.widgets.EditableFloatSlider.from_param(
+            self.param.shifts_per_week,
+            name=self.param.shifts_per_week.label,
+            fixed_start=self.param.shifts_per_week.bounds[0],
+            fixed_end=self.param.shifts_per_week.bounds[1],
+            design=slider_design,
+            styles=slider_style,
+            stylesheets=slider_stylesheet,
+            format="0",
+        )
+
+    @param.depends(
+        "kg_processed_per_hour",
+        "finished_product_yield_pct",
+        "kwh_rate",
+        "water_cost_per_1000l",
+        "consumables_per_kg_bio_rate",
+        "kwh_per_kg_bio",
+        "water_liters_consumed_per_kg_bio",
+        "consumables_per_kg_output",
+        "bio_cbx_pct",
+        "bio_cost",
+        "wholesale_cbx_price",
+        "wholesale_cbx_pct",
+        "batch_test_cost",
+        "fixed_overhead_per_week",
+        "workers_per_shift",
+        "worker_hourly_rate",
+        "managers_per_shift",
+        "manager_hourly_rate",
+        "labour_hours_per_shift",
+        "processing_hours_per_shift",
+        "shifts_per_day",
+        "shifts_per_week",
+        watch=True,
+    )
+    def _update_calculations(self, *events):
+        self.kg_processed_per_shift = (
+            self.processing_hours_per_shift * self.kg_processed_per_hour
+        )
+        if self.shifts_per_week == 0:
+            self.shifts_per_week = 1
+
+        self._calc_saleable_kg()
+        self._calc_biomass_cost()
+        self._calc_cogs()
+        self._calc_gross_revenue()
+        self._calc_net_revenue()
+
+        self.operating_profit_pct = (
+            (self.net_rev_per_kg_bio / self.gross_rev_per_kg_bio)
+            if self.gross_rev_per_kg_bio
+            else 0.0
+        )
+        self.resin_spread_pct = (
+            ((self.gross_rev_per_kg_bio - self.bio_cost) / self.bio_cost)
+            if self.bio_cost
+            else 0.0
+        )
+
+        self._update_tables_data()
+
+    @param.depends("labour_hours_per_shift", watch=True)
+    def _update_processing_hours_slider_constraints(self):
+        new_max_processing_hours = self.labour_hours_per_shift
+
+        # Get the current lower bound of the processing_hours_per_shift parameter
+        current_min_processing_hours = self.param.processing_hours_per_shift.bounds[0]
+
+        # Update the bounds of the underlying param.Number object for processing_hours_per_shift
+        # This allows the parameter to accept values up to the new maximum
+        self.param.processing_hours_per_shift.bounds = (
+            current_min_processing_hours,
+            new_max_processing_hours,
+        )
+
+        # Ensure the slider widget has been created before trying to access it
+        if hasattr(self, "processing_hours_per_shift_slider"):
+            # Update the 'end' property of the slider widget
+            self.processing_hours_per_shift_slider.end = new_max_processing_hours
+
+            # If the current value of processing_hours_per_shift is now greater than
+            # the new maximum, adjust it to be the new maximum.
+            if self.processing_hours_per_shift > new_max_processing_hours:
+                self.processing_hours_per_shift = new_max_processing_hours
+
+    def _calc_cogs(self):
+        worker_cost = self.workers_per_shift * self.worker_hourly_rate
+        manager_cost = self.managers_per_shift * self.manager_hourly_rate
+        self.labour_cost_per_shift = (
+            worker_cost + manager_cost
+        ) * self.labour_hours_per_shift
+
+        power_cost_per_kg = self.kwh_rate * self.kwh_per_kg_bio
+        water_cost_per_kg = (
+            self.water_cost_per_1000l / 1000.0
+        ) * self.water_liters_consumed_per_kg_bio
+        total_variable_consumable_cost_per_kg = (
+            self.consumables_per_kg_bio_rate + power_cost_per_kg + water_cost_per_kg
+        )
+        self.variable_cost_per_shift = (
+            total_variable_consumable_cost_per_kg * self.kg_processed_per_shift
+        )
+
+        self.overhead_cost_per_shift = (
+            self.fixed_overhead_per_week / self.shifts_per_week
+            if self.shifts_per_week > 0
+            else 0.0
+        )
+
+        shift_cogs_before_output_specific = (
+            self.labour_cost_per_shift
+            + self.variable_cost_per_shift
+            + self.overhead_cost_per_shift
+        )
+        shift_output_specific_cogs = (
+            self.consumables_per_kg_output * self.saleable_kg_per_shift
+        )
+
+        self.internal_cogs_per_shift = (
+            shift_cogs_before_output_specific + shift_output_specific_cogs
+        )
+        self.internal_cogs_per_kg_bio = (
+            self.internal_cogs_per_shift / self.kg_processed_per_shift
+            if self.kg_processed_per_shift > 0
+            else 0.0
+        )
+        self.internal_cogs_per_day = self.internal_cogs_per_shift * self.shifts_per_day
+        self.internal_cogs_per_week = (
+            self.internal_cogs_per_shift * self.shifts_per_week
+        )
+        self.internal_cogs_per_kg_output = (
+            (self.internal_cogs_per_kg_bio * self.biomass_kg_per_saleable_kg)
+            if self.biomass_kg_per_saleable_kg != 0
+            else 0.0
+        )
+
+    def _calc_gross_revenue(self):
+        self.gross_rev_per_kg_bio = (
+            self.saleable_kg_per_kg_bio * self.wholesale_cbx_price
+        )
+        self.gross_rev_per_shift = (
+            self.gross_rev_per_kg_bio * self.kg_processed_per_shift
+        )
+        self.gross_rev_per_day = self.gross_rev_per_shift * self.shifts_per_day
+        self.gross_rev_per_week = self.gross_rev_per_shift * self.shifts_per_week
+
+    def _calc_net_revenue(self):
+        self.net_rev_per_kg_bio = (
+            self.gross_rev_per_kg_bio - self.internal_cogs_per_kg_bio - self.bio_cost
+        )
+        self.net_rev_per_shift = self.net_rev_per_kg_bio * self.kg_processed_per_shift
+        self.net_rev_per_day = self.net_rev_per_shift * self.shifts_per_day
+        self.net_rev_per_week = self.net_rev_per_shift * self.shifts_per_week
+        self.net_rev_per_kg_output = (
+            (self.biomass_kg_per_saleable_kg * self.net_rev_per_kg_bio)
+            if self.biomass_kg_per_saleable_kg != 0
+            else 0.0
+        )
+
+    def _calc_biomass_cost(self):
+        self.biomass_cost_per_shift = self.kg_processed_per_shift * self.bio_cost
+        self.biomass_cost_per_day = self.biomass_cost_per_shift * self.shifts_per_day
+        self.biomass_cost_per_week = self.biomass_cost_per_shift * self.shifts_per_week
+
+    def _calc_saleable_kg(self):
+        if self.wholesale_cbx_pct == 0:
+            self.saleable_kg_per_kg_bio = 0.0
+        else:
+            self.saleable_kg_per_kg_bio = (
+                (self.bio_cbx_pct / 100.0)
+                * (self.finished_product_yield_pct / 100.0)
+                / (self.wholesale_cbx_pct / 100.0)
+            )
+        self.saleable_kg_per_shift = (
+            self.saleable_kg_per_kg_bio * self.kg_processed_per_shift
+        )
+        self.saleable_kg_per_day = self.saleable_kg_per_shift * self.shifts_per_day
+        self.saleable_kg_per_week = self.saleable_kg_per_shift * self.shifts_per_week
+        self.biomass_kg_per_saleable_kg = (
+            1 / self.saleable_kg_per_kg_bio if self.saleable_kg_per_kg_bio > 0 else 0.0
+        )
+        self.biomass_cost_per_kg_output = (
+            self.biomass_kg_per_saleable_kg * self.bio_cost
+        )
+
+    def _update_tables_data(self):
+        money_data_dict = {
+            " ": ["Biomass cost", "Processing cost", "Gross Revenue", "Net Revenue"],
+            "$/kg Biomass": [
+                self.bio_cost,
+                self.internal_cogs_per_kg_bio,
+                self.gross_rev_per_kg_bio,
+                self.net_rev_per_kg_bio,
+            ],
+            "$/kg Output": [
+                self.biomass_cost_per_kg_output,
+                self.internal_cogs_per_kg_output,
+                self.wholesale_cbx_price,
+                self.net_rev_per_kg_output,
+            ],
+            "Per Shift": [
+                self.biomass_cost_per_shift,
+                self.internal_cogs_per_shift,
+                self.gross_rev_per_shift,
+                self.net_rev_per_shift,
+            ],
+            "Per Day": [
+                self.biomass_cost_per_day,
+                self.internal_cogs_per_day,
+                self.gross_rev_per_day,
+                self.net_rev_per_day,
+            ],
+            "Per Week": [
+                self.biomass_cost_per_week,
+                self.internal_cogs_per_week,
+                self.gross_rev_per_week,
+                self.net_rev_per_week,
+            ],
+        }
+        self.money_data_df = pd.DataFrame(money_data_dict)
+        if hasattr(self, "money_table"):
+            self.money_table.value = self.money_data_df
+
+        profit_data_dict = {
+            "Metric": ["Operating Profit", "Resin Spread"],
+            "Value": [
+                f"{self.operating_profit_pct * 100.0:.2f}%",
+                f"{self.resin_spread_pct * 100.0:.2f}%",
+            ],
+        }
+        self.profit_data_df = pd.DataFrame(profit_data_dict)
+        if hasattr(self, "profit_table"):
+            self.profit_table.value = self.profit_data_df
+
+        processing_values_formatted = [
+            f"{self.kg_processed_per_shift:,.0f}",
+            f"${self.labour_cost_per_shift:,.2f}",
+            f"${self.variable_cost_per_shift:,.2f}",
+            f"${self.overhead_cost_per_shift:,.2f}",
+        ]
+        processing_data_dict = {
+            "Metric (Per Shift)": [
+                "Kilograms Extracted",
+                "Labour Cost",
+                "Variable Cost",
+                "Overhead",
+            ],
+            "Value": processing_values_formatted,
+        }
+        self.processing_data_df = pd.DataFrame(processing_data_dict)
+        if hasattr(self, "processing_table"):
+            self.processing_table.value = self.processing_data_df
+
+    def _get_money_formatters(self):
+        return {
+            "$/kg Biomass": get_formatter("$%.02f"),
+            "$/kg Output": get_formatter("$%.02f"),
+            "Per Shift": get_formatter("$%.02f"),
+            "Per Day": get_formatter("$%.02f"),
+            "Per Week": get_formatter("$%.02f"),
+        }
+
+    def view(self):
+        input_col_max_width = 400
+        col1 = pn.Column(
+            "### Extraction",
+            self.kg_processed_per_hour_slider,
+            self.finished_product_yield_pct_slider,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+        col2 = pn.Column(
+            pn.pane.Markdown("### Biomass parameters"),
+            self.bio_cbx_pct_slider,
+            self.bio_cost_slider,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+        col3 = pn.Column(
+            pn.pane.Markdown("### Consumable rates"),
+            self.kwh_rate_slider,
+            self.water_cost_per_1000l_slider,
+            self.consumables_per_kg_bio_rate_slider,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+        col4 = pn.Column(
+            pn.pane.Markdown("### Wholesale details"),
+            self.wholesale_cbx_price_slider,
+            self.wholesale_cbx_pct_slider,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+        col5 = pn.Column(
+            pn.pane.Markdown("### Variable costs"),
+            self.kwh_per_kg_bio_slider,
+            self.water_liters_consumed_per_kg_bio_slider,
+            self.consumables_per_kg_output_slider,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+        col6 = pn.Column(
+            pn.pane.Markdown("### Compliance"),
+            self.batch_test_cost_slider,
+            pn.pane.Markdown("### Overhead"),
+            self.fixed_overhead_per_week_slider,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+        col8 = pn.Column(
+            pn.pane.Markdown("### Worker Details"),
+            self.workers_per_shift_slider,
+            self.worker_hourly_rate_slider,
+            self.managers_per_shift_slider,
+            self.manager_hourly_rate_slider,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+        col9 = pn.Column(
+            pn.pane.Markdown("### Shift details"),
+            self.labour_hours_per_shift_slider,
+            self.processing_hours_per_shift_slider,
+            self.shifts_per_day_slider,
+            self.shifts_per_week_slider,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+        
+        input_grid = pn.FlexBox(
+            col1, col2, col3, col4, col5, col8, col9, col6, align_content="normal"
+        )
+
+        money_table_display = pn.Column(
+            pn.pane.Markdown("### Financial Summary", styles={"text-align": "center"}),
+            self.money_table,
+            sizing_mode="stretch_width",
+            max_width=700,
+        )
+
+        profit_table_display = pn.Column(
+            pn.pane.Markdown("### Profitability", styles={"text-align": "center"}),
+            self.profit_table,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+
+        processing_table_display = pn.Column(
+            pn.pane.Markdown("### Processing Summary", styles={"text-align": "center"}),
+            self.processing_table,
+            sizing_mode="stretch_width",
+            max_width=input_col_max_width,
+        )
+
+        profit_weekly = pn.indicators.Number(
+            name="Weekly Profit",
+            value=self.net_rev_per_week,
+            format=f"${self.net_rev_per_week / 1000:.0f} k",
+            default_color="green",
+            align="center",
+        )
+
+        profit_pct = pn.indicators.Number(
+            name="Operating Profit",
+            value=self.operating_profit_pct,
+            format=f"{self.operating_profit_pct * 100.0:.2f}%",
+            default_color="green",
+            align="center",
+        )
+        
+        table_grid = pn.FlexBox(
+            profit_weekly,
+            profit_pct,
+            processing_table_display,
+            profit_table_display,
+            money_table_display,
+            align_content="normal",
+        )
+
+        main_layout = pn.Column(
+            input_grid,
+            pn.layout.Divider(margin=(10, 0)),
+            table_grid,
+            styles={"margin": "0px 10px"},
+        )
+
+        return main_layout
+
+
+estimator_app = CannabinoidEstimator()
+# To run in a Panel server:
+# pn.config.raw_css = custom_themes.get_base_css(custom_themes.DARK_THEME_VARS)
+estimator_app.view().servable(title="CBx Revenue Estimator")
+
+if __name__ == "__main__":
+    pn.serve(
+        estimator_app.view(),
+        title="CBx Revenue Estimator (Panel)",
+        show=True,
+        port=5007,
+    )