51 lines
2.1 KiB
Python
51 lines
2.1 KiB
Python
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from dashboard_data.card_utils import safe_number
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def build_economic_overview(sensor_id: str, context: dict | None = None, ai_bundle: dict | None = None) -> dict:
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sensor = (context or {}).get("sensor")
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forecasts = (context or {}).get("forecasts", [])
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if sensor is None:
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return {"economicData": [], "chartSeries": [], "chartCategories": []}
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water_cost = round(sum(max(0, safe_number(forecast.et0, 0) * 20) for forecast in forecasts[:6]))
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fertilizer_need = round((safe_number(sensor.nitrogen, 0) + safe_number(sensor.phosphorus, 0) + safe_number(sensor.potassium, 0)) / 3)
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revenue = round(max(1000, water_cost * 4.5))
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return {
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"economicData": [
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{
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"title": "هزینه آب",
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"value": f"€{water_cost}",
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"subtitle": "این ماه",
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"avatarIcon": "tabler-droplet",
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"avatarColor": "primary",
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},
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{
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"title": "صرفهجویی آب هوشمند",
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"value": f"€{round(water_cost * 0.18)}",
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"subtitle": "۱۸٪ صرفهجویی شده",
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"avatarIcon": "tabler-bulb",
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"avatarColor": "success",
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},
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{
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"title": "بازده سرمایه پلتفرم",
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"value": "127%",
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"subtitle": "نسبت به سال گذشته",
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"avatarIcon": "tabler-chart-line",
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"avatarColor": "info",
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},
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{
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"title": "پیشبینی درآمد",
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"value": f"€{round(revenue / 1000)}k",
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"subtitle": "این فصل",
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"avatarIcon": "tabler-currency-euro",
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"avatarColor": "success",
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},
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],
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"chartSeries": [
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{"name": "هزینه آب", "data": [max(1, round(water_cost / 6)) for _ in range(6)]},
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{"name": "کود", "data": [max(1, round(fertilizer_need / 6)) for _ in range(6)]},
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],
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"chartCategories": ["ژانویه", "فوریه", "مارس", "آوریل", "می", "ژوئن"],
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}
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