feat: Implement initial schema and add various API, service, and management command enhancements across the application.

backend/scripts/benchmark_queries.py

@@ -30,6 +30,7 @@ if not settings.DEBUG:
 
 def benchmark(name: str, iterations: int = 5):
     """Decorator to benchmark a function."""
+
     def decorator(func: Callable) -> Callable:
         @wraps(func)
         def wrapper(*args, **kwargs) -> dict[str, Any]:
@@ -48,17 +49,19 @@ def benchmark(name: str, iterations: int = 5):
                 query_counts.append(len(context.captured_queries))
 
             return {
-                'name': name,
-                'avg_time_ms': statistics.mean(times),
-                'min_time_ms': min(times),
-                'max_time_ms': max(times),
-                'std_dev_ms': statistics.stdev(times) if len(times) > 1 else 0,
-                'avg_queries': statistics.mean(query_counts),
-                'min_queries': min(query_counts),
-                'max_queries': max(query_counts),
-                'iterations': iterations,
+                "name": name,
+                "avg_time_ms": statistics.mean(times),
+                "min_time_ms": min(times),
+                "max_time_ms": max(times),
+                "std_dev_ms": statistics.stdev(times) if len(times) > 1 else 0,
+                "avg_queries": statistics.mean(query_counts),
+                "min_queries": min(query_counts),
+                "max_queries": max(query_counts),
+                "iterations": iterations,
             }
+
         return wrapper
+
     return decorator
 
 
@@ -67,7 +70,9 @@ def print_benchmark_result(result: dict[str, Any]) -> None:
     print(f"\n{'='*60}")
     print(f"Benchmark: {result['name']}")
     print(f"{'='*60}")
-    print(f"  Time (ms):    avg={result['avg_time_ms']:.2f}, min={result['min_time_ms']:.2f}, max={result['max_time_ms']:.2f}")
+    print(
+        f"  Time (ms):    avg={result['avg_time_ms']:.2f}, min={result['min_time_ms']:.2f}, max={result['max_time_ms']:.2f}"
+    )
     print(f"  Std Dev (ms): {result['std_dev_ms']:.2f}")
     print(f"  Queries:      avg={result['avg_queries']:.1f}, min={result['min_queries']}, max={result['max_queries']}")
     print(f"  Iterations:   {result['iterations']}")
@@ -86,7 +91,7 @@ def run_benchmarks() -> list[dict[str, Any]]:
         parks = Park.objects.optimized_for_list()[:50]
         for park in parks:
             _ = park.operator
-            _ = park.coaster_count_calculated if hasattr(park, 'coaster_count_calculated') else None
+            _ = park.coaster_count_calculated if hasattr(park, "coaster_count_calculated") else None
         return list(parks)
 
     results.append(bench_park_list_optimized())
@@ -167,22 +172,22 @@ def run_benchmarks() -> list[dict[str, Any]]:
 
 def print_summary(results: list[dict[str, Any]]) -> None:
     """Print a summary table of all benchmarks."""
-    print("\n" + "="*80)
+    print("\n" + "=" * 80)
     print("BENCHMARK SUMMARY")
-    print("="*80)
+    print("=" * 80)
     print(f"{'Benchmark':<45} {'Avg Time (ms)':<15} {'Avg Queries':<15}")
-    print("-"*80)
+    print("-" * 80)
 
     for result in results:
         print(f"{result['name']:<45} {result['avg_time_ms']:<15.2f} {result['avg_queries']:<15.1f}")
 
-    print("="*80)
+    print("=" * 80)
 
 
 if True:  # Always run when executed
-    print("\n" + "="*80)
+    print("\n" + "=" * 80)
     print("THRILLWIKI QUERY PERFORMANCE BENCHMARKS")
-    print("="*80)
+    print("=" * 80)
     print("\nRunning benchmarks...")
 
     try:
@@ -200,4 +205,5 @@ if True:  # Always run when executed
     except Exception as e:
         print(f"\nError running benchmarks: {e}")
         import traceback
+
         traceback.print_exc()