AI UPDATE

dashboard_data/cards/harvest_prediction_card.py

@@ -0,0 +1,26 @@
+from datetime import date, timedelta
+
+from dashboard_data.card_utils import average, safe_number
+
+
+def build_harvest_prediction_card(sensor_id: str, context: dict | None = None, ai_bundle: dict | None = None) -> dict:
+    context = context or {}
+    forecasts = context.get("forecasts", [])
+    plants = context.get("plants", [])
+
+    avg_temp = average([forecast.temperature_mean for forecast in forecasts], default=24)
+    moisture_factor = safe_number(getattr(context.get("sensor"), "soil_moisture", None), 50)
+    days_until = max(10, int(90 - avg_temp - (moisture_factor / 5)))
+    target_date = date.today() + timedelta(days=days_until)
+    window_start = target_date - timedelta(days=3)
+    window_end = target_date + timedelta(days=3)
+    plant_name = plants[0].name if plants else "محصول"
+
+    return {
+        "date": str(target_date),
+        "dateFormatted": f"{target_date.day} {target_date.strftime('%B')} {target_date.year}",
+        "daysUntil": days_until,
+        "description": f"بر اساس دمای فعلی، رطوبت خاک و اطلاعات {plant_name}. بازه بهینه برداشت محاسبه شده است.",
+        "optimalWindowStart": str(window_start),
+        "optimalWindowEnd": str(window_end),
+    }