fix: add dummy data functiong

src/calculation_time_constrains/service.py

@@ -123,7 +123,7 @@ class ReliabilityService:
         random.seed(hash(location_tag) % 1000)
 
         # Base parameters for realistic failure patterns
-        base_monthly_failures = random.uniform(0.25, 1.25)  # Base failures per month
+        base_monthly_failures = random.uniform(0.05, 0.5)  # Base failures per month
         seasonal_amplitude = random.uniform(0.3, 0.8)     # Seasonal variation strength
         trend_slope = random.uniform(-0.01, 0.02)         # Long-term trend (slight increase over time)
         noise_level = random.uniform(0.1, 0.3)            # Random variation
@@ -135,9 +135,15 @@ class ReliabilityService:
         month_count = 0
 
         for _ in range(max_interval):
+            #If month count == 0, set cumulative_failures to 0
             last_day = calendar.monthrange(current.year, current.month)[1]
             last_day_date = datetime.datetime(current.year, current.month, last_day)
 
+            if month_count == 0:
+                cumulative_failures = 0
+                results[last_day_date] = round(cumulative_failures, 3)
+                continue
+
             # Stop if we've passed the end_date
             if last_day_date > end_date:
                 break