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"""
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سرویسهای هواشناسی — واکشی پیشبینی ۷ روزه و ذخیره در دیتابیس.
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"""
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import logging
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from datetime import date, timedelta
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from django.conf import settings
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from django.db import transaction
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from location_data.models import SoilLocation
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from .models import WeatherForecast
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logger = logging.getLogger(__name__)
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def fetch_weather_from_api(latitude: float, longitude: float) -> dict | None:
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"""
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اتصال به API هواشناسی و دریافت پیشبینی ۷ روزه.
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TODO: پیادهسازی اتصال واقعی به API (مثلاً Open-Meteo).
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در حال حاضر این تابع خالی است و None برمیگرداند.
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پارامترها:
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latitude: عرض جغرافیایی
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longitude: طول جغرافیایی
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خروجی مورد انتظار (وقتی پیادهسازی شود):
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{
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"daily": {
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"time": ["2025-07-01", "2025-07-02", ...],
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"temperature_2m_max": [35.2, 36.1, ...],
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"temperature_2m_min": [22.1, 23.0, ...],
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"temperature_2m_mean": [28.6, 29.5, ...],
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"precipitation_sum": [0.0, 2.5, ...],
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"precipitation_probability_max": [0, 60, ...],
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"relative_humidity_2m_mean": [30.0, 45.0, ...],
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"wind_speed_10m_max": [15.0, 20.0, ...],
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"et0_fao_evapotranspiration": [6.5, 5.8, ...],
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"weather_code": [0, 61, ...],
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}
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}
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"""
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# TODO: اتصال واقعی به API هواشناسی
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# api_url = settings.WEATHER_API_BASE_URL
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# api_key = settings.WEATHER_API_KEY
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return None
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def parse_weather_response(data: dict) -> list[dict]:
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"""
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تبدیل پاسخ API به لیست dict برای ذخیره در WeatherForecast.
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فرمت ورودی: Open-Meteo daily format.
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"""
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daily = data.get("daily", {})
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times = daily.get("time", [])
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forecasts = []
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for i, date_str in enumerate(times):
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forecasts.append(
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{
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"forecast_date": date_str,
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"temperature_max": _safe_index(
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daily.get("temperature_2m_max"), i
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),
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"temperature_min": _safe_index(
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daily.get("temperature_2m_min"), i
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),
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"temperature_mean": _safe_index(
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daily.get("temperature_2m_mean"), i
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),
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"precipitation": _safe_index(
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daily.get("precipitation_sum"), i
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),
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"precipitation_probability": _safe_index(
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daily.get("precipitation_probability_max"), i
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),
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"humidity_mean": _safe_index(
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daily.get("relative_humidity_2m_mean"), i
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),
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"wind_speed_max": _safe_index(
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daily.get("wind_speed_10m_max"), i
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),
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"et0": _safe_index(
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daily.get("et0_fao_evapotranspiration"), i
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),
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"weather_code": _safe_index(
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daily.get("weather_code"), i
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),
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}
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)
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return forecasts
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def _safe_index(lst: list | None, index: int):
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"""مقدار index را از لیست برمیگرداند یا None."""
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if lst is None or index >= len(lst):
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return None
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return lst[index]
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def update_weather_for_location(location: SoilLocation) -> dict:
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"""
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واکشی و ذخیره پیشبینی هواشناسی ۷ روزه برای یک SoilLocation.
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خروجی:
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{"status": "success"|"no_data"|"error", "location_id": int, ...}
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"""
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lat = float(location.latitude)
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lon = float(location.longitude)
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try:
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data = fetch_weather_from_api(lat, lon)
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except Exception as exc:
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logger.error("Weather API error for location %s: %s", location.id, exc)
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return {
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"status": "error",
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"location_id": location.id,
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"error": str(exc),
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}
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if data is None:
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logger.info(
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"Weather API returned no data for location %s (stub mode).",
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location.id,
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)
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return {
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"status": "no_data",
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"location_id": location.id,
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"message": "API connection not implemented yet.",
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}
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forecasts = parse_weather_response(data)
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with transaction.atomic():
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for fc in forecasts:
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WeatherForecast.objects.update_or_create(
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location=location,
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forecast_date=fc.pop("forecast_date"),
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defaults=fc,
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)
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return {
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"status": "success",
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"location_id": location.id,
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"days_updated": len(forecasts),
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}
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def update_weather_for_all_locations() -> list[dict]:
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"""
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واکشی پیشبینی هواشناسی برای تمام SoilLocationهای موجود.
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"""
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results = []
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for location in SoilLocation.objects.all():
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result = update_weather_for_location(location)
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results.append(result)
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return results
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def get_forecast_for_location(
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location: SoilLocation,
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days: int = 7,
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) -> list[WeatherForecast]:
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"""
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دریافت پیشبینیهای ذخیرهشده برای یک location (تا N روز آینده).
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"""
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today = date.today()
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end_date = today + timedelta(days=days)
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return list(
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WeatherForecast.objects.filter(
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location=location,
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forecast_date__gte=today,
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forecast_date__lte=end_date,
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).order_by("forecast_date")
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)
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def should_irrigate_today(location: SoilLocation) -> dict:
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"""
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بررسی ساده: آیا فردا باران میبارد؟
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اگر بارش فردا بیشتر از آستانه باشد → آبیاری لازم نیست.
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خروجی:
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{
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"needs_irrigation": bool | None,
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"tomorrow_precipitation": float | None,
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"tomorrow_date": str,
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"reason": str,
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}
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"""
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tomorrow = date.today() + timedelta(days=1)
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forecast = WeatherForecast.objects.filter(
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location=location,
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forecast_date=tomorrow,
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).first()
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if forecast is None:
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return {
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"needs_irrigation": None,
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"tomorrow_precipitation": None,
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"tomorrow_date": str(tomorrow),
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"reason": "داده پیشبینی فردا موجود نیست.",
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}
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rain_threshold_mm = 2.0
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if forecast.precipitation is not None and forecast.precipitation >= rain_threshold_mm:
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return {
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"needs_irrigation": False,
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"tomorrow_precipitation": forecast.precipitation,
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"tomorrow_date": str(tomorrow),
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"reason": (
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f"فردا {forecast.precipitation} mm بارش پیشبینی شده — "
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"نیاز به آبیاری نیست."
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),
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}
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return {
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"needs_irrigation": True,
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"tomorrow_precipitation": forecast.precipitation,
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"tomorrow_date": str(tomorrow),
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"reason": "بارش فردا ناچیز یا صفر — آبیاری توصیه میشود.",
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}
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