UPDATE

weather/farm_weather.py

@@ -0,0 +1,83 @@
+from __future__ import annotations
+
+from typing import Any
+
+from farm_data.models import SensorData
+
+from .services import get_forecast_for_location
+
+
+WMO_CONDITIONS = {
+    0: "صاف",
+    1: "عمدتاً صاف",
+    2: "نیمه‌ابری",
+    3: "ابری",
+    45: "مه",
+    48: "مه یخ‌زده",
+    51: "نم‌نم باران",
+    61: "بارش خفیف",
+    63: "بارش متوسط",
+    65: "بارش شدید",
+    71: "برف خفیف",
+    80: "رگبار",
+    95: "رعد و برق",
+}
+
+
+def _safe_number(value, default=0):
+    return default if value is None else value
+
+
+def _average(values, default=0):
+    clean_values = [value for value in values if value is not None]
+    if not clean_values:
+        return default
+    return sum(clean_values) / len(clean_values)
+
+
+def _weather_condition(weather_code):
+    return WMO_CONDITIONS.get(weather_code, "نامشخص")
+
+
+def _build_farm_weather_card(forecasts: list[Any]) -> dict[str, Any]:
+    if not forecasts:
+        return {
+            "condition": "نامشخص",
+            "temperature": 0,
+            "unit": "°C",
+            "humidity": 0,
+            "windSpeed": 0,
+            "windUnit": "km/h",
+            "chartData": {"labels": [], "series": [[]]},
+        }
+
+    current_forecast = forecasts[0]
+    labels = [str(forecast.forecast_date) for forecast in forecasts[:7]]
+    series = [[round(_safe_number(forecast.temperature_mean, 0)) for forecast in forecasts[:7]]]
+
+    return {
+        "condition": _weather_condition(current_forecast.weather_code),
+        "temperature": round(_safe_number(current_forecast.temperature_mean, current_forecast.temperature_max)),
+        "unit": "°C",
+        "humidity": round(_average([current_forecast.humidity_mean], default=0)),
+        "windSpeed": round(_safe_number(current_forecast.wind_speed_max, 0)),
+        "windUnit": "km/h",
+        "chartData": {
+            "labels": labels,
+            "series": series,
+        },
+    }
+
+
+class FarmWeatherService:
+    def get_farm_weather_card(self, *, farm_uuid: str) -> dict[str, Any]:
+        sensor = (
+            SensorData.objects.select_related("center_location")
+            .filter(farm_uuid=farm_uuid)
+            .first()
+        )
+        if sensor is None:
+            raise ValueError("Farm not found.")
+
+        forecasts = get_forecast_for_location(sensor.center_location, days=7)
+        return _build_farm_weather_card(forecasts)