done

Author: AkhilRB0204

freight_project/backend/__pycache__/app.cpython-313.pyc

@@ -16,6 +16,7 @@
 )
 
 sim = None  # Global simulation instance
+sim_lock = threading.Lock() # Lock for thread-safe simulation access
 
 # Background thread to continuously update truck positions and reassign loads
 def run_sim():
@@ -37,25 +38,32 @@ def init_sim(
     enable_finance: bool = Query(False, description="Enable finance tracking")
 ):
     global sim
+
+    # csv path for city data
+    csv_path = os.path.join(os.path.dirname(__file__), "uscities.csv")
     # Create new FreightSim instance with finance tracking option
-    sim = FreightSim("backend/uscities.csv", num_trucks=num_trucks, min_pop=min_pop, enable_finance=enable_finance)
+    sim = FreightSim(csv_path, num_trucks=num_trucks, min_pop=min_pop, enable_finance=enable_finance)
 
     # Create initial random loads
-    for _ in range(num_loads):
-        sim.create_random_load()
+    with sim_lock:
+        sim = FreightSim(csv_path, num_trucks=num_trucks, min_pop=min_pop, enable_finance=enable_finance)
+        for _ in range(num_loads):
+            sim.create_random_load()
 
     return {"message": f"Simulation initialized with {num_trucks} trucks and {num_loads} loads. Finance enabled: {enable_finance}"}
 
 # --- Get current status of trucks and loads ---
 @app.get("/status")
 def get_status():
-    if not sim:
-        return {"trucks": [], "loads": []}
+
+    with sim_lock:
+        if not sim:
+            return {"trucks": [], "loads": []}
 
     # Build truck status list
-    trucks = []
-    for _, truck in sim.trucks.iterrows():
-        trucks.append({
+        trucks = []
+        for _, truck in sim.trucks.iterrows():
+            trucks.append({
             "truck_id": truck["truck_id"],
             "lat": truck["lat"],        # current latitude
             "lon": truck["lng"],        # current longitude
@@ -67,11 +75,11 @@ def get_status():
         })
 
     # Build load status list
-    loads = []
-    for _, load in sim.loads.iterrows():
-        origin = sim.cities.iloc[load["origin_idx"]]
-        dest = sim.cities.iloc[load["dest_idx"]]
-        loads.append({
+        loads = []
+        for _, load in sim.loads.iterrows():
+            origin = sim.cities.iloc[load["origin_idx"]]
+            dest = sim.cities.iloc[load["dest_idx"]]
+            loads.append({
             "load_id": load["load_id"],
             "origin": origin["city"],
             "destination": dest["city"],
@@ -87,7 +95,9 @@ def get_status():
 # --- Create a new random load dynamically ---
 @app.get("/create_load")
 def create_load():
-    if sim:
-        sim.create_random_load()  # Add a new shipment
-        return {"message": "New load created"}
-    return {"message": "Simulation not initialized yet."}
+    with sim_lock:
+        if not sim:
+            return {"message": "Simulation not initialized yet."}
+        sim.create_random_load()
+    return {"message": "New load created"}
+

freight_project/backend/app.py

@@ -4,19 +4,23 @@ OwlHacks 2025 Hackathon Project
 
 This project is a freight trading simulator I built for OwlHacks 2025. The idea is to mimic how trucks and shipments are matched in real life, so you can see who’s carrying what, track deliveries, and even create new loads on the fly. Everything is interactive and plotted on a map so you can watch the simulation happen in real-time.
 
+The simulation also tracks financial metrics for each truck, including profit, expenses, and net profit.
+
 Concept
 
-Freight trading is all about moving cargo efficiently—matching shipments with transport capacity and making smart delivery decisions. I tried to capture that in this project by:
+Freight trading is all about moving cargo efficiently—matching shipments with transport capacity and making smart delivery decisions. This project captures that by:
 
 Treating trucks like transport capacity and loads like shipments.
 
-Automatically assigning trucks to loads based on their capacity and location.
+Automatically assigning trucks to loads based on capacity, location, and availability.
+
+Allowing the creation of new loads dynamically, simulating new market opportunities.
 
-Letting you create new loads dynamically, which is like new opportunities popping up in the market.
+Running a continuous simulation loop that updates trucks and loads every second.
 
-Updating everything live so you can see trucks move toward their destinations.
+Tracking financial metrics for each truck: profit, expenses, and net profit.
 
-It’s a simplified way to explore how freight trading works without having to charter real ships or trucks.
+This is a simplified way to explore how freight trading works without using real trucks or logistics systems.
 
 Project Structure
 freight_project/
@@ -84,13 +88,13 @@ Enter simulation parameters and click Start Simulation.
 
 Click Create Random Load to add new shipments dynamically.
 
-CLI (Optional)
+CLI 
 
 Go to the cli/ folder.
 
 Run:
 
-python main.py
+python3 main.py
 
 
 Follow the prompts to simulate trucks and loads step by step.
@@ -105,7 +109,7 @@ Automatic assignment of trucks based on capacity and location.
 
 Dashed lines that show the path from trucks to their assigned loads.
 
-Optional CLI version for terminal-based simulation.
+CLI version for terminal-based simulation.
 
 Notes