yes

Author: AkhilRB0204

freight_project/backend/app.py

@@ -32,7 +32,8 @@ def run_sim():
 def init_sim(
     num_trucks: int = Query(50, description="Number of trucks"),
     num_loads: int = Query(20, description="Number of loads"),
-    min_pop: int = Query(100000, description="Minimum city population")
+    min_pop: int = Query(100000, description="Minimum city population"),
+    enable_finance: bool = Query(True, description="Enable profit/expense tracking")
 ):
     global sim
     # Create a new FreightSim instance
@@ -58,7 +59,10 @@ def get_status():
             "lat": truck["lat"],        # current latitude
             "lon": truck["lng"],        # current longitude
             "status": truck["status"],  # Idle or Assigned
-            "assigned_load": truck["assigned_load"]
+            "assigned_load": truck["assigned_load"],
+            "profit": truck["profit"],   # total profit earned
+            "expense": truck["expense"],  # total expense incurred
+            "net_profit": truck["profit"] - truck["expense"]  # net profit
         })
 
     # Build load status list
@@ -71,7 +75,7 @@ def get_status():
             "origin": origin["city"],
             "destination": dest["city"],
             "weight": load["weight"],
-            "value": load["value"],                   # profit/priority metric
+            "value": load["rate_per_ton"],                   # profit/priority metric
             "assigned_truck": load["assigned_truck"],
             "dest_latitude": dest["lat"],
             "dest_longitude": dest["lng"]

freight_project/backend/freight_trading.py

@@ -4,7 +4,7 @@
 from math import radians, cos, sin, asin, sqrt
 
 class FreightSim:
-    def __init__(self, csv_path="uscities.csv", num_trucks=50, min_pop=50000):
+    def __init__(self, csv_path="uscities.csv", num_trucks=50, min_pop=50000, enable_finance=False):
         # Load all US cities from the CSV file
         self.cities = pd.read_csv(csv_path)
 
@@ -13,13 +13,18 @@ def __init__(self, csv_path="uscities.csv", num_trucks=50, min_pop=50000):
 
         # Create a fleet of trucks
         self.num_trucks = num_trucks
+
+        # Finance tracking flag
+        self.enable_finance = enable_finance
+
         self.trucks = pd.DataFrame({
             'truck_id': [f"T{i+1}" for i in range(num_trucks)],   # Truck names T1, T2, ...
             'city_idx': np.random.choice(self.cities.index, num_trucks),  # Start trucks in random cities
             'capacity': np.random.randint(10, 30, num_trucks),    # Each truck can carry 10–30 tons
             'status': ['Idle'] * num_trucks,                      # Idle = waiting for a job
             'assigned_load': [None] * num_trucks,                # No load assigned yet
-            'profit': [0] * num_trucks                            # Track revenue earned
+            'profit': [0] * num_trucks,                           # Track revenue earned
+            'expense': [0]*num_trucks
         })
 
         # Add city details to each truck so we know where it is
@@ -141,6 +146,19 @@ def update_trucks(self):
                     revenue = load['weight'] * load['rate_per_ton']
                     self.trucks.at[idx, 'profit'] += revenue
 
+                    if self.enable_finance:
+                        # For simplicity, assume a fixed expense per mile
+                        origin = self.cities.iloc[load['origin_idx']]
+                        distance = self.haversine(origin['lat'], origin['lng'], dest['lat'], dest['lng'])
+                        expense_per_mile = 2.0  # $2 per mile
+                        expense = distance * expense_per_mile
+                        self.trucks.at[idx, 'expense'] += expense
+                    
+                    # If finance tracking is enabled, show net profit
+                    net_profit = revenue - self.trucks.at[idx, 'expense'] if self.enable_finance else revenue
+                    print(f"✅ Truck {truck['truck_id']} delivered Load {load['load_id']} at {dest['city']}, {dest['state_name']} | Earned: ${revenue} | Net: ${net_profit}")
+
+
                     print(f"✅ Truck {truck['truck_id']} delivered Load {load['load_id']} at {dest['city']}, {dest['state_name']} | Earned: ${revenue}")
 
                     # Remove load (delivered)

freight_project/cli/main.py

@@ -1,7 +1,7 @@
 from backend.freight_trading import FreightSim
 
 def main():
-    print("Freight Route Trading Simulator")
+    print("🚚 Freight Route Trading Simulator (with Finance Tracking)")
 
     # Ask user for input values
     num_trucks = int(input("Enter number of trucks: "))
@@ -24,5 +24,18 @@ def main():
         print(f"\n--- Simulation Step {step+1} ---")
         sim.update_trucks()
 
+        # print financial summary
+        total_revenue = sim.total_revenue()
+        total_expense = sim.total_expense()
+        net_profit = total_revenue - total_expense
+
+        print(f"💰 Revenue: ${total_revenue:.2f} | Expenses: ${total_expense:.2f} | Net Profit: ${net_profit:.2f}")
+    
+    print("\n✅ Simulation complete!")
+    print("Final Truck Profits:")
+    for _, truck in sim.trucks.iterrows():
+        print(f"Truck {truck['truck_id']}: Profit = ${truck['profit']:.2f}")
+
+
 if __name__ == "__main__":
     main()

freight_project/frontend/index.html

@@ -20,6 +20,10 @@ <h1>Freight Simulation Dashboard</h1>
     <label>Minimum Population:</label>
     <input id="minPop" type="number" value="100000" />
 
+    <label>
+    <input id="enableFinance" type="checkbox" /> Enable Finance Tracking
+  </label>
+
     <button onclick="startSimulation()">Start Simulation</button>
     <button onclick="createLoad()">Create Random Load</button>
   </div>

freight_project/frontend/script.js

@@ -11,6 +11,14 @@ async function refresh() {
 
     // --- Update or create truck markers ---
     data.trucks.forEach(truck => {
+        const popupContent = `
+        <b>${truck.truck_id}</b><br>
+        Status: ${truck.status}<br>
+        Assigned Load: ${truck.assigned_load || "None"}<br>
+        Profit: $${truck.profit.toFixed(2)}<br>
+        Expense: $${truck.expense.toFixed(2)}<br>
+        Net Profit: $${truck.net_profit.toFixed(2)}
+    `;
         if (truckMarkers[truck.truck_id]) {
             truckMarkers[truck.truck_id].setLatLng([truck.lat, truck.lon]);
             truckMarkers[truck.truck_id].bindPopup(`${truck.truck_id} - ${truck.status}`);
@@ -57,8 +65,9 @@ async function startSimulation() {
     const numTrucks = document.getElementById("numTrucks").value;
     const numLoads = document.getElementById("numLoads").value;
     const minPop = document.getElementById("minPop").value;
+    const enableFinance = document.getElementById("enableFinance").checked;
 
-    await fetch(`http://127.0.0.1:8000/init?num_trucks=${numTrucks}&num_loads=${numLoads}&min_pop=${minPop}`);
+    await fetch(`http://127.0.0.1:8000/init?num_trucks=${numTrucks}&num_loads=${numLoads}&min_pop=${minPop}&enable_finance=${enableFinance}`);
     alert("Simulation started!");
 }