kpi configuration (still prototype some data still use manual need to update later)

backend/apps/operations/services/kpi_formulas.py

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+"""Pure KPI / FCR / EEF formula helpers (Excel-correct)."""
+
+from __future__ import annotations
+
+
+def compute_chicken_life(doc_in_count: int, mortality_total: int) -> int:
+    return max(int(doc_in_count) - int(mortality_total), 0)
+
+
+def compute_chicken_life_percentage(doc_in_count: int, chicken_life: int) -> float:
+    if not doc_in_count:
+        return 0.0
+    return (chicken_life / doc_in_count) * 100.0
+
+
+def compute_stock_akhir(chicken_life: int, harvest_total: int) -> int:
+    return max(int(chicken_life) - int(harvest_total), 0)
+
+
+def compute_fcr(
+    feed_total: int | float,
+    stock_akhir: int,
+    iot_weight: float,
+    harvest_weight_total_g: float,
+) -> float:
+    """FCR = (feed_total * 50 * 1000) / (stock_akhir * iot_weight + harvest_weight_total_g)."""
+    denom = (stock_akhir * iot_weight) + harvest_weight_total_g
+    if denom <= 0:
+        return 0.0
+    return (feed_total * 50 * 1000) / denom
+
+
+def compute_average_harvest_weight(
+    harvest_weight_total_g: float,
+    stock_akhir: int,
+    iot_weight: float,
+    harvest_total: int,
+) -> float:
+    """Excel live-blend: (hwt_g + stock*iot) / (harvest_total + stock)."""
+    denom = harvest_total + stock_akhir
+    if denom <= 0:
+        return 0.0
+    return (harvest_weight_total_g + stock_akhir * iot_weight) / denom
+
+
+def compute_average_harvest_day(
+    harvest_age_sum: float,
+    age: int,
+    stock_akhir: int,
+    harvest_total: int,
+) -> float:
+    """Excel live-blend: (Σ(age*harvest) + age*stock) / (harvest_total + stock)."""
+    denom = harvest_total + stock_akhir
+    if denom <= 0:
+        return 0.0
+    return (harvest_age_sum + age * stock_akhir) / denom
+
+
+def compute_eef(
+    life_pct: float,
+    average_harvest_weight_g: float,
+    average_harvest_day: float,
+    fcr: float,
+) -> float:
+    """EEF = life_pct * (avg_bw_g/1000) / (avg_day * fcr) * 100."""
+    if average_harvest_day <= 0 or fcr <= 0:
+        return 0.0
+    return life_pct * (average_harvest_weight_g / 1000.0) / (average_harvest_day * fcr) * 100.0