⚙️setup: fake sales data + fix DOM canvas = null issue

Author: teloryfrozy

backend/routers/accounting.py

@@ -17,6 +17,106 @@ class CleanConversations(BaseModel):
     monthsToKeep: int
 
 
+class ExportSalesData(BaseModel):
+    period: str
+
+
+@router.post("/export-sales-data")
+def export_sales_data(
+    export_sales_data: ExportSalesData,
+    session: Session = Depends(get_session),
+):
+    # todo: implement api call to get real data
+
+    articles_bought_prices_data = [
+        [12.50, 8.90, 15.00, 22.30, 5.50],
+        [18.75, 11.20, 25.80, 9.90, 14.60, 33.40],
+        [7.30, 19.95, 16.75, 12.10, 28.50],
+        [21.40, 13.85, 9.60, 17.20, 11.95, 24.90, 8.75],
+        [15.60, 20.30, 12.40, 18.90, 26.75, 14.50],
+        [19.80, 8.40, 23.70, 16.30, 10.95, 29.60],
+        [13.20, 17.95, 11.80, 22.40, 15.90, 25.30, 120.33],
+    ]
+
+    articles_sold_prices_data = [
+        [18.90, 14.50, 23.00, 31.50, 12.90],
+        [27.40, 19.80, 38.50, 16.75, 22.90, 45.60],
+        [13.70, 29.50, 24.90, 19.40, 42.80],
+        [32.10, 21.75, 16.20, 26.90, 19.95, 37.50, 15.40],
+        [24.80, 31.90, 19.60, 28.50, 39.75, 23.30],
+        [29.70, 15.90, 36.40, 25.80, 18.95, 44.20],
+        [21.60, 27.50, 19.30, 34.80, 24.90, 38.90, 17.80],
+    ]
+    total_articles_bought = sum(
+        len(articles_bought) for articles_bought in articles_bought_prices_data
+    )
+    total_articles_sold = sum(
+        len(articles_sold) for articles_sold in articles_sold_prices_data
+    )
+
+    turnover_data = [sum(articles_sold) for articles_sold in articles_sold_prices_data]
+    gross_profit_data = [
+        sum(articles_sold) - sum(articles_bought)
+        for articles_bought, articles_sold in zip(
+            articles_bought_prices_data, articles_sold_prices_data
+        )
+    ]
+    labels = [
+        "Jan 24",
+        "Fév 24",
+        "Mar 24",
+        "Avr 24",
+        "Mai 24",
+        "Jun 24",
+        "Jul 24",
+    ]
+
+    data = {
+        "labels": labels,
+        "turnover_data": turnover_data,
+        "gross_profit_data": gross_profit_data,
+        "total_turnover": sum(turnover_data),
+        "maximum_turnover": max(turnover_data),
+        "minimum_turnover": min(turnover_data),
+        "average_turnover": sum(turnover_data) / len(turnover_data),
+        "total_gross_profit": sum(gross_profit_data),
+        "maximum_gross_profit": max(gross_profit_data),
+        "minimum_gross_profit": min(gross_profit_data),
+        "average_gross_profit": sum(gross_profit_data) / len(gross_profit_data),
+        "articles_bought_prices_data": articles_bought_prices_data,
+        "total_articles_bought": total_articles_bought,
+        "average_article_bought_price": sum(
+            sum(articles_bought) for articles_bought in articles_bought_prices_data
+        )
+        / total_articles_bought,
+        "average_nb_articles_bought": total_articles_bought
+        / len(articles_bought_prices_data),
+        "most_expensive_article_bought": max(
+            max(articles_bought) for articles_bought in articles_bought_prices_data
+        ),
+        "least_expensive_article_bought": min(
+            min(articles_bought) for articles_bought in articles_bought_prices_data
+        ),
+        "articles_sold_prices_data": articles_sold_prices_data,
+        "total_articles_sold": sum(
+            sum(articles_sold) for articles_sold in articles_sold_prices_data
+        ),
+        "average_article_sold_price": sum(
+            sum(articles_sold) for articles_sold in articles_sold_prices_data
+        )
+        / total_articles_sold,
+        "average_nb_article_sold": total_articles_sold / len(articles_sold_prices_data),
+        "most_expensive_article_sold": max(
+            max(articles_sold) for articles_sold in articles_sold_prices_data
+        ),
+        "least_expensive_article_sold": min(
+            min(articles_sold) for articles_sold in articles_sold_prices_data
+        ),
+    }
+
+    return data
+
+
 @router.post("/clean-conversations")
 async def clean_conversations(
     clean_conversations: CleanConversations,