Commit bff8fc17 authored by Barthelet Thibault's avatar Barthelet Thibault
Browse files

added chf

parent 6776bdb6

HorloML_EDU_Main/demo_prediction_phase.py

+1 −1
Original line number Diff line number Diff line
@@ -43,7 +43,7 @@ def demo_basic_scenario(): 
    print("\nProducts in simulation:")

    for watch in setup.watches:

        print(f"  • Watch ID {watch.id}: {watch.name} ({watch.category})")

        print(f"    Cost: ${watch.base_cost:.0f}, Price: ${watch.sell_price:.0f}")

        print(f"    Cost: CHF {watch.base_cost:.0f}, Price: CHF {watch.sell_price:.0f}")

    

    # Student makes predictions for each product, each month

    print("\n[PREDICTION PHASE] Student enters predictions...")

HorloML_EDU_Main/web_app/templates/predict.html

+10 −10
Original line number Diff line number Diff line
@@ -68,8 +68,8 @@ 
                                    {{ product.category|capitalize }}

                                </span>

                            </td>

                            <td class="has-text-right">${{ "%.0f"|format(product.base_cost) }}</td>

                            <td class="has-text-right">${{ "%.0f"|format(product.sell_price) }}</td>

                            <td class="has-text-right">CHF {{ "%.0f"|format(product.base_cost) }}</td>

                            <td class="has-text-right">CHF {{ "%.0f"|format(product.sell_price) }}</td>

                            <td class="has-text-right">{{ "%.0f"|format(product.margin_pct) }}%</td>

                        </tr>

                        {% endfor %}
@@ -192,35 +192,35 @@ 
<script>

// Helper functions for quick-fill buttons

function fillConstant(productId, nMonths) {

    const baseValue = document.getElementById(`pred_${productId}_1`).value || 10;

    const baseValue = document.getElementById(`pred_CHF {productId}_1`).value || 10;

    for (let month = 1; month <= nMonths; month++) {

        document.getElementById(`pred_${productId}_${month}`).value = baseValue;

        document.getElementById(`pred_CHF {productId}_CHF {month}`).value = baseValue;

    }

}



function fillIncreasing(productId, nMonths) {

    const baseValue = parseFloat(document.getElementById(`pred_${productId}_1`).value) || 10;

    const baseValue = parseFloat(document.getElementById(`pred_CHF {productId}_1`).value) || 10;

    const increment = 2;

    for (let month = 1; month <= nMonths; month++) {

        document.getElementById(`pred_${productId}_${month}`).value = Math.round(baseValue + (month - 1) * increment);

        document.getElementById(`pred_CHF {productId}_CHF {month}`).value = Math.round(baseValue + (month - 1) * increment);

    }

}



function fillDecreasing(productId, nMonths) {

    const baseValue = parseFloat(document.getElementById(`pred_${productId}_1`).value) || 20;

    const baseValue = parseFloat(document.getElementById(`pred_CHF {productId}_1`).value) || 20;

    const decrement = 1.5;

    for (let month = 1; month <= nMonths; month++) {

        const value = Math.max(1, Math.round(baseValue - (month - 1) * decrement));

        document.getElementById(`pred_${productId}_${month}`).value = value;

        document.getElementById(`pred_CHF {productId}_CHF {month}`).value = value;

    }

}



function fillSeasonal(productId, nMonths) {

    const baseValue = parseFloat(document.getElementById(`pred_${productId}_1`).value) || 15;

    const baseValue = parseFloat(document.getElementById(`pred_CHF {productId}_1`).value) || 15;

    for (let month = 1; month <= nMonths; month++) {

        // Simple sine wave pattern

        const seasonal = baseValue + Math.sin(month * Math.PI / 6) * (baseValue * 0.3);

        document.getElementById(`pred_${productId}_${month}`).value = Math.round(Math.max(1, seasonal));

        document.getElementById(`pred_CHF {productId}_CHF {month}`).value = Math.round(Math.max(1, seasonal));

    }

}

supply_chain_sim/cmd_visual.py

+24 −24
Original line number Diff line number Diff line
@@ -176,8 +176,8 @@ class VisualSimulation(SupplyChainSimulation): 
            watch_table.add_row(

                f"Watch_{watch.id}",

                watch.category.capitalize(),

                f"${watch.base_cost:.0f}",

                f"${watch.sell_price:.0f}",

                f"CHF {watch.base_cost:.0f}",

                f"CHF {watch.sell_price:.0f}",

                f"{markup:.0f}%",

            )
@@ -329,7 +329,7 @@ class VisualSimulation(SupplyChainSimulation): 
                    f"Comp_{order.component_id}",

                    str(current),

                    str(order.quantity),

                    f"${order.cost:.0f}",

                    f"CHF {order.cost:.0f}",

                    f"{order.expected_delivery:.1f}d",

                )
@@ -344,7 +344,7 @@ class VisualSimulation(SupplyChainSimulation): 
                )

            )

            log_to_file(

                f"Generated {len(supply_orders)} supply orders, total cost: ${sum(o.cost for o in supply_orders):.0f}"

                f"Generated {len(supply_orders)} supply orders, total cost: CHF {sum(o.cost for o in supply_orders):.0f}"

            )

            phase_results.append(("Orders", len(supply_orders)))

        else:
@@ -518,15 +518,15 @@ class VisualSimulation(SupplyChainSimulation): 
            console.print(

                f"  [green]✓ {len(new_sales)} sales from {len(sampled_customers)} visitors (conversion: {conversion:.1f}%)[/green]"

            )

            console.print(f"  [green]✓ Revenue: ${total_revenue:,.0f}[/green]")

            console.print(f"  [green]✓ Revenue: CHF {total_revenue:,.0f}[/green]")

            log_to_file(

                f"{len(new_sales)} sales from {len(sampled_customers)} visitors (conversion: {conversion:.1f}%), Revenue: ${total_revenue:,.0f}"

                f"{len(new_sales)} sales from {len(sampled_customers)} visitors (conversion: {conversion:.1f}%), Revenue: CHF {total_revenue:,.0f}"

            )



            sales_breakdown = []

            for cat, data in sales_by_category.items():

                sales_breakdown.append(

                    f"{cat}: {data['count']} (${data['revenue']:,.0f})"

                    f"{cat}: {data['count']} (CHF {data['revenue']:,.0f})"

                )

            breakdown_str = ", ".join(sales_breakdown)

            console.print(f"  [dim]Sales by category: {breakdown_str}[/dim]")
@@ -609,13 +609,13 @@ class VisualSimulation(SupplyChainSimulation): 
            "GMROI",

            f"{kpis['gmroi']:.2f}",

            "Total Revenue",

            f"${kpis['total_revenue']:,.0f}",

            f"CHF {kpis['total_revenue']:,.0f}",

        )

        kpi_grid.add_row(

            "Gross Margin",

            f"${kpis['gross_margin']:,.0f}",

            f"CHF {kpis['gross_margin']:,.0f}",

            "Logistics Costs",

            f"${kpis['logistics_costs']:,.0f}",

            f"CHF {kpis['logistics_costs']:,.0f}",

        )

        kpi_grid.add_row(

            "Warehouse Util",
@@ -626,7 +626,7 @@ class VisualSimulation(SupplyChainSimulation): 


        console.print(Panel(kpi_grid, title="Daily KPIs", border_style="green"))

        log_to_file(

            f"Daily KPIs - GMROI: {kpis['gmroi']:.2f}, Revenue: ${kpis['total_revenue']:,.0f}, Margin: ${kpis['gross_margin']:,.0f}, Warehouse Util: {kpis['warehouse_capacity_utilization']:.1%}, Retailer Util: {kpis['retailer_capacity_utilization']:.1%}"

            f"Daily KPIs - GMROI: {kpis['gmroi']:.2f}, Revenue: CHF {kpis['total_revenue']:,.0f}, Margin: CHF {kpis['gross_margin']:,.0f}, Warehouse Util: {kpis['warehouse_capacity_utilization']:.1%}, Retailer Util: {kpis['retailer_capacity_utilization']:.1%}"

        )



        # Store metrics for final report
@@ -668,7 +668,7 @@ class VisualSimulation(SupplyChainSimulation): 
        # Executive Summary

        exec_summary = f"""

[bold cyan]Simulation Period:[/bold cyan] {self.config['simulation_days']} days

[bold cyan]Total Revenue:[/bold cyan] ${total_revenue:,.0f}

[bold cyan]Total Revenue:[/bold cyan] CHF {total_revenue:,.0f}

[bold cyan]Total Sales:[/bold cyan] {total_sales} units

[bold cyan]Customers:[/bold cyan] {len(self.setup.customers)} potential buyers

[bold cyan]Conversion Rate:[/bold cyan] {(len(set(s.customer_id for s in self.all_sales))/len(self.setup.customers)*100):.1f}%
@@ -681,7 +681,7 @@ class VisualSimulation(SupplyChainSimulation): 
            )

        )

        log_to_file(

            f"EXECUTIVE SUMMARY - Period: {self.config['simulation_days']} days, Revenue: ${total_revenue:,.0f}, Sales: {total_sales}, Customers: {len(self.setup.customers)}, Conversion: {(len(set(s.customer_id for s in self.all_sales))/len(self.setup.customers)*100):.1f}%"

            f"EXECUTIVE SUMMARY - Period: {self.config['simulation_days']} days, Revenue: CHF {total_revenue:,.0f}, Sales: {total_sales}, Customers: {len(self.setup.customers)}, Conversion: {(len(set(s.customer_id for s in self.all_sales))/len(self.setup.customers)*100):.1f}%"

        )



        # Continue with the rest of the report...
@@ -722,16 +722,16 @@ class VisualSimulation(SupplyChainSimulation): 
            product_table.add_row(

                f"Watch_{watch.id}",

                watch.category.capitalize(),

                f"${watch.base_cost:.0f}",

                f"${watch.sell_price:.0f}",

                f"CHF {watch.base_cost:.0f}",

                f"CHF {watch.sell_price:.0f}",

                f"{perf['predicted']:.0f}",

                str(perf["sold"]),

                f"${perf['revenue']:,.0f}",

                f"CHF {perf['revenue']:,.0f}",

                f"{margin:.1f}%",

            )



            log_to_file(

                f"Watch_{watch.id} ({watch.category}): Predicted={perf['predicted']:.0f}, Sold={perf['sold']}, Revenue=${perf['revenue']:,.0f}, Margin={margin:.1f}%"

                f"Watch_{watch.id} ({watch.category}): Predicted={perf['predicted']:.0f}, Sold={perf['sold']}, Revenue=CHF {perf['revenue']:,.0f}, Margin={margin:.1f}%"

            )



        console.print(product_table)
@@ -755,7 +755,7 @@ class VisualSimulation(SupplyChainSimulation): 
        operations_table.add_row(

            "Component Orders",

            str(total_orders),

            f"Total value: ${component_cost:,.0f}",

            f"Total value: CHF {component_cost:,.0f}",

        )

        operations_table.add_row(

            "Average Lead Time", f"{avg_lead_time:.1f} days", "From order to delivery"
@@ -845,8 +845,8 @@ class VisualSimulation(SupplyChainSimulation): 
                    str(n_customers),

                    str(n_buyers),

                    str(data["count"]),

                    f"${data['revenue']:,.0f}",

                    f"${avg_ticket:.0f}",

                    f"CHF {data['revenue']:,.0f}",

                    f"CHF {avg_ticket:.0f}",

                )



        console.print(customer_table)
@@ -905,14 +905,14 @@ class VisualSimulation(SupplyChainSimulation): 
            financial_table.add_row("GMROI", f"{final_kpis['gmroi']:.3f}", gmroi_status)



            financial_table.add_row(

                "Total Revenue", f"${final_kpis['total_revenue']:,.0f}", "🟢"

                "Total Revenue", f"CHF {final_kpis['total_revenue']:,.0f}", "🟢"

            )

            financial_table.add_row(

                "Gross Margin", f"${final_kpis['gross_margin']:,.0f}", "🟢"

                "Gross Margin", f"CHF {final_kpis['gross_margin']:,.0f}", "🟢"

            )

            # financial_table.add_row("COGS", f"${final_kpis['cogs']:,.0f}", "—")

            # financial_table.add_row("COGS", f"CHF {final_kpis['cogs']:,.0f}", "—")

            financial_table.add_row(

                "Logistics Costs", f"${final_kpis['logistics_costs']:,.0f}", "—"

                "Logistics Costs", f"CHF {final_kpis['logistics_costs']:,.0f}", "—"

            )



            margin_pct = (

supply_chain_sim/customer_behavior.py

+1 −1
Original line number Diff line number Diff line
@@ -150,7 +150,7 @@ class CustomerBehavior: 
                        if key in inv_map:

                            inv_map[key].quantity -= 1

                        

                        logger.debug(f"Customer {customer.id} purchased watch {watch_id} for ${retail_price:.0f}")

                        logger.debug(f"Customer {customer.id} purchased watch {watch_id} for CHF {retail_price:.0f}")

                        break  # Customer only buys one watch per visit

        

        logger.info(f"Processed {len(new_sales)} sales")

supply_chain_sim/distribution.py

+1 −1
Original line number Diff line number Diff line
@@ -136,7 +136,7 @@ class RetailDistribution: 
    def calculate_distribution_costs(self) -> float:

        """Calculate total distribution/logistics costs."""

        # Simplified cost model

        base_cost_per_unit = 5.0  # $5 per unit shipped

        base_cost_per_unit = 5.0  # CHF 5 per unit shipped

        total_cost = 0

        

        for dist in self.distribution_history: