Update modules/simulator.py

modules/simulator.py

@@ -8,13 +8,29 @@ def simulate_data(n=50, faults=True, update_time=None):
     update_time = update_time or datetime.datetime.now()  # Use provided time or current time
     poles = [f"Pole_{i+1:03}" for i in range(n)]
     # Distribute poles across 4 locations
-    locations = ["Hyderabad"] * 12 + ["Gadwal"] * 12 + ["Kurnool"] * 12 + ["Bangalore"] * 14
+    locations = ["Hyderabad"] * 12 + ["Gadwal"] * 12 + ["Kurnool"] * 12 + ["Ballari"] * 14
     # Simulate coordinates and zones for each location
+    base_hyderabad = (17.329181, 78.610091)  # Vacant land space in Hyderabad
     coords = {
-        "Hyderabad": [(17.385 + np.random.uniform(-0.05, 0.05), 78.486 + np.random.uniform(-0.05, 0.05), f"Zone_{np.random.choice(['North', 'South', 'Central'])}") for _ in range(12)],
-        "Gadwal": [(16.235 + np.random.uniform(-0.03, 0.03), 77.795 + np.random.uniform(-0.03, 0.03), f"Zone_{np.random.choice(['East', 'West'])}") for _ in range(12)],
-        "Kurnool": [(15.828 + np.random.uniform(-0.04, 0.04), 78.037 + np.random.uniform(-0.04, 0.04), f"Zone_{np.random.choice(['Urban', 'Rural'])}") for _ in range(12)],
-        "Bangalore": [(12.971 + np.random.uniform(-0.06, 0.06), 77.594 + np.random.uniform(-0.06, 0.06), f"Zone_{np.random.choice(['Downtown', 'Suburban', 'Industrial'])}") for _ in range(14)]
+        "Hyderabad": [
+            (
+                base_hyderabad[0] + np.random.uniform(-0.00015, 0.00015),
+                base_hyderabad[1] + np.random.uniform(-0.00015, 0.00015),
+                f"Zone_{np.random.choice(['North', 'South', 'Central'])}"
+            ) for _ in range(12)
+        ],
+        "Gadwal": [
+            (16.235 + np.random.uniform(-0.03, 0.03), 77.795 + np.random.uniform(-0.03, 0.03), f"Zone_{np.random.choice(['East', 'West'])}")
+            for _ in range(12)
+        ],
+        "Kurnool": [
+            (15.828 + np.random.uniform(-0.04, 0.04), 78.037 + np.random.uniform(-0.04, 0.04), f"Zone_{np.random.choice(['Urban', 'Rural'])}")
+            for _ in range(12)
+        ],
+        "Ballari": [
+            (15.139 + np.random.uniform(-0.04, 0.04), 76.921 + np.random.uniform(-0.04, 0.04), f"Zone_{np.random.choice(['Downtown', 'Industrial', 'Residential'])}")
+            for _ in range(14)
+        ]
     }
     location_coords = []
     for loc in locations: