Update main.py

main.py

@@ -738,24 +738,48 @@ def get_expenses_breakdown():
     return clean_dataframe(df).to_dict(orient="records")[0]
 
 @app.get("/finance/trend")
-def get_finance_trend(days: int = 30):
+def get_finance_trend(days: int = Query(30, ge=1, le=365)):
     """Финансовый тренд по дням"""
+
     query = text("""
         SELECT 
-            DATE(rd.sale_dt) as date,
-            COUNT(*) FILTER (WHERE rd.doc_type_name = 'Продажа') as sales,
-            SUM(rd.retail_price_withdisc_rub) FILTER (WHERE rd.doc_type_name = 'Продажа') as gmv,
-            SUM(rd.supplier_reward) as profit,
-            SUM(rd.delivery_rub) as delivery,
-            SUM(rd.storage_fee) as storage,
-            SUM(rd.commission_percent * rd.retail_price_withdisc_rub / 100) FILTER (WHERE rd.doc_type_name = 'Продажа') as commission
+            DATE(rd.sale_dt) AS date,
+            COUNT(*) FILTER (
+                WHERE rd.doc_type_name = 'Продажа'
+            ) AS sales,
+
+            COALESCE(
+                SUM(rd.retail_price_withdisc_rub) FILTER (
+                    WHERE rd.doc_type_name = 'Продажа'
+                ),
+                0
+            ) AS gmv,
+
+            COALESCE(SUM(rd.supplier_reward), 0) AS profit,
+            COALESCE(SUM(rd.delivery_rub), 0) AS delivery,
+            COALESCE(SUM(rd.storage_fee), 0) AS storage,
+
+            COALESCE(
+                SUM(
+                    rd.commission_percent * rd.retail_price_withdisc_rub / 100
+                ) FILTER (
+                    WHERE rd.doc_type_name = 'Продажа'
+                ),
+                0
+            ) AS commission
         FROM wb_report_details rd
-        WHERE rd.sale_dt > NOW() - INTERVAL :days || ' days'
+        WHERE rd.sale_dt > NOW() - (:days * INTERVAL '1 day')
         GROUP BY DATE(rd.sale_dt)
         ORDER BY date ASC
     """)
-    df = pd.read_sql(query, engine, params={"days": days})
-    df['date'] = df['date'].astype(str)
+
+    df = pd.read_sql_query(query, engine, params={"days": days})
+
+    if df.empty:
+        return []
+
+    df["date"] = pd.to_datetime(df["date"]).dt.strftime("%Y-%m-%d")
+
     return clean_dataframe(df).to_dict(orient="records")
 
 @app.get("/finance/category-report")