116 lines
3.1 KiB
Python
116 lines
3.1 KiB
Python
"""Handle IoT panel push readings (webhook from panel IoT devices)."""
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from __future__ import annotations
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from datetime import date, datetime, timezone as dt_timezone
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from zoneinfo import ZoneInfo
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from django.utils import timezone
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from apps.farms.models import Cycle, Flock
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from apps.operations.models import IotPanel
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WIB = ZoneInfo("Asia/Jakarta")
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CHILL_FACTOR_POINTS = (
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(0, 8.0),
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(1, 8.0),
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(7, 7.0),
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(14, 6.0),
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(21, 4.5),
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(28, 3.5),
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(35, 3.5),
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(42, 3.0),
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)
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class IotPushError(Exception):
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def __init__(self, message: str, status_code: int | None = None):
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super().__init__(message)
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self.status_code = status_code
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def _to_float(value) -> float:
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raw = float(value)
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return raw / 10.0 if raw > 100 else raw
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def _chicken_chill_factor(age: float) -> float:
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if age <= CHILL_FACTOR_POINTS[0][0]:
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return CHILL_FACTOR_POINTS[0][1]
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for idx in range(1, len(CHILL_FACTOR_POINTS)):
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prev_age, prev_factor = CHILL_FACTOR_POINTS[idx - 1]
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next_age, next_factor = CHILL_FACTOR_POINTS[idx]
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if age > next_age:
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continue
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span = next_age - prev_age
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if span <= 0:
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return next_factor
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progress = (age - prev_age) / span
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return prev_factor + (next_factor - prev_factor) * progress
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return CHILL_FACTOR_POINTS[-1][1]
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def _experience_temperature(
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*,
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average_temperature: float,
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wind_speed: float,
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humidity_pct: float,
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age_days: float,
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) -> float:
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chill_factor = _chicken_chill_factor(age_days)
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rh_adjustment = (humidity_pct - 70.0) / 5.0
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chill_effect = wind_speed * chill_factor - rh_adjustment
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return average_temperature - chill_effect
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def cycle_age_for_date(cycle_start: date, snapshot_date: date) -> int:
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if snapshot_date < cycle_start:
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return 1
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return (snapshot_date - cycle_start).days + 1
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def handle_iot_push(flock: Flock, payload: dict) -> IotPanel:
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now = timezone.now()
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snapshot_date = now.astimezone(WIB).date()
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avg_temp = _to_float(payload.get("suhu", 0))
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humidity = _to_float(payload.get("kelembapan", 0))
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wind_speed = _to_float(payload.get("wind", 0))
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water_total = float(payload.get("flow", 0) or 0)
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cycle = (
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Cycle.objects.filter(
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kandang_id=flock.kandang_id,
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start_date__lte=snapshot_date,
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end_date__gte=snapshot_date,
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)
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.order_by("-start_date")
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.first()
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)
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age = cycle_age_for_date(cycle.start_date, snapshot_date) if cycle else 1
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experience_temp = round(
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_experience_temperature(
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average_temperature=avg_temp,
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wind_speed=wind_speed,
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humidity_pct=humidity,
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age_days=age,
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),
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4,
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)
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panel, _created = IotPanel.objects.update_or_create(
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flock=flock,
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timestamp=now,
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defaults={
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"date": snapshot_date,
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"wind_speed": round(wind_speed, 4),
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"humidity": round(humidity, 4),
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"water_total": water_total,
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"average_temperature": round(avg_temp, 4),
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"experience_temperature": experience_temp,
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},
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)
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return panel
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