fix(db.py): remove full table scans with proper where clauses for dashboard statistics and calc in db rather than python

router.py

@@ -2086,22 +2086,10 @@ async def stats_proxy(request: Request, model: Optional[str] = None):
             status_code=404, detail="No token data found for this model"
         )
 
-    # Get time series data for the last 30 days (43200 minutes = 30 days)
-    # Assuming entries are grouped by minute, 30 days = 43200 entries max
-    time_series = []
-    endpoint_totals = defaultdict(int)  # Track tokens per endpoint
-    
-    async for entry in db.get_latest_time_series(limit=50000):
-        if entry['model'] == model:
-            time_series.append({
-                'endpoint': entry['endpoint'],
-                'timestamp': entry['timestamp'],
-                'input_tokens': entry['input_tokens'],
-                'output_tokens': entry['output_tokens'],
-                'total_tokens': entry['total_tokens']
-            })
-            # Accumulate total tokens per endpoint
-            endpoint_totals[entry['endpoint']] += entry['total_tokens']
+    time_series = [
+        entry async for entry in db.get_time_series_for_model(model)
+    ]
+    endpoint_distribution = await db.get_endpoint_distribution_for_model(model)
 
     return {
         'model': model,
@@ -2109,7 +2097,7 @@ async def stats_proxy(request: Request, model: Optional[str] = None):
         'output_tokens': token_data['output_tokens'],
         'total_tokens': token_data['total_tokens'],
         'time_series': time_series,
-        'endpoint_distribution': dict(endpoint_totals)
+        'endpoint_distribution': endpoint_distribution,
     }
 
 # -------------------------------------------------------------