39 lines
1.5 KiB
Python
39 lines
1.5 KiB
Python
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from datetime import date
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from dashboard_data.card_utils import safe_number
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def build_yield_prediction_chart(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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if sensor is None:
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return {"categories": [], "series": [], "summary": []}
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base = max(10, round(safe_number(sensor.soil_moisture, 0) * 0.6))
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current_year = [base + offset for offset in [0, 2, 4, 6, 8, 10, 12, 11, 9, 7, 5, 4]]
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last_year = [value - 3 for value in current_year]
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harvest_month = "حدود " + str(date.today().month)
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return {
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"categories": ["ژانویه", "فوریه", "مارس", "آوریل", "می", "ژوئن", "ژوئیه", "آگوست", "سپتامبر", "اکتبر", "نوامبر", "دسامبر"],
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"series": [
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{"name": "امسال", "data": current_year},
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{"name": "سال گذشته", "data": last_year},
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],
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"summary": [
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{
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"title": "عملکرد پیشبینیشده",
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"subtitle": "این فصل",
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"amount": f"{current_year[9]} تن",
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"avatarColor": "primary",
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"avatarIcon": "tabler-chart-bar",
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},
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{
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"title": "تاریخ برداشت",
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"subtitle": harvest_month,
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"amount": "+8%",
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"avatarColor": "success",
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"avatarIcon": "tabler-calendar",
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},
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],
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}
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