kpi configuration (still prototype some data still use manual need to update later)
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"""Excel-verified FCR/EEF formula tests (Sukawarna Kandang Atas days 30–35)."""
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from django.test import SimpleTestCase
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from apps.operations.services.kpi_formulas import (
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compute_average_harvest_day,
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compute_average_harvest_weight,
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compute_chicken_life,
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compute_chicken_life_percentage,
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compute_eef,
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compute_fcr,
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compute_stock_akhir,
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)
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# From Laporan_Akhir-Siklus_Sukawarna_Kandang-Atas … FCR + EEF sheets.
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# harvest_total / harvest_age_sum reconstructed so live-blend avgs match Excel.
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EXCEL_DAYS = [
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{
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"age": 30,
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"feed_total": 928,
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"iot_weight": 1480.51,
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"stock_akhir": 17658,
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"harvest_weight_total_g": 6272.1 * 1000,
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"harvest_total": 6400,
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"life_pct": 96.232,
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"excel_fcr": 1.4314384667247064,
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"excel_avg_bw": 1347.3665965583173,
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"excel_avg_day": 29.112145648017293,
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"excel_eef": 311.14182093425177,
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},
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{
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"age": 31,
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"feed_total": 970,
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"iot_weight": 1524.39,
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"stock_akhir": 16419,
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"harvest_weight_total_g": 7665.3 * 1000,
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"harvest_total": 7600,
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"life_pct": 96.076,
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"excel_fcr": 1.4834408509392811,
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"excel_avg_bw": 1361.183205379075,
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"excel_avg_day": 29.844248303426454,
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"excel_eef": 295.39328356931856,
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},
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{
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"age": 32,
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"feed_total": 1013,
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"iot_weight": 1578.85,
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"stock_akhir": 15929,
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"harvest_weight_total_g": 8229.1 * 1000,
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"harvest_total": 8045,
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"life_pct": 95.896,
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"excel_fcr": 1.5174392423955845,
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"excel_avg_bw": 1392.2833757403853,
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"excel_avg_day": 30.52506882455994,
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"excel_eef": 288.2439276697344,
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},
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{
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"age": 33,
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"feed_total": 1031,
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"iot_weight": 1609.98,
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"stock_akhir": 10458,
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"harvest_weight_total_g": 16476 * 1000,
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"harvest_total": 13421,
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"life_pct": 95.516,
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"excel_fcr": 1.5474360050440639,
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"excel_avg_bw": 1395.0823250554881,
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"excel_avg_day": 31.18229406591566,
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"excel_eef": 276.15645742250786,
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},
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{
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"age": 34,
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"feed_total": 1052,
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"iot_weight": 1720.44,
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"stock_akhir": 10347,
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"harvest_weight_total_g": 16476 * 1000,
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"harvest_total": 13421,
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"life_pct": 95.072,
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"excel_fcr": 1.5345391200273755,
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"excel_avg_bw": 1442.1656294177044,
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"excel_avg_day": 31.60913833726018,
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"excel_eef": 282.668327683184,
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},
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{
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"age": 35,
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"feed_total": 1059,
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"iot_weight": 1561.1,
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"stock_akhir": 5198,
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"harvest_weight_total_g": 25032.8 * 1000,
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"harvest_total": 18413,
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"life_pct": 94.444,
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"excel_fcr": 1.5974104609804394,
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"excel_avg_bw": 1403.8963957477447,
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"excel_avg_day": 32.02481894032442,
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"excel_eef": 259.1828280867179,
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},
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]
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def _harvest_age_sum(row: dict) -> float:
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"""Invert Excel avg_day blend: (sum + age*stock) / (h + stock) = avg_day."""
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age = row["age"]
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stock = row["stock_akhir"]
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h = row["harvest_total"]
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return row["excel_avg_day"] * (h + stock) - age * stock
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class KpiFormulaTests(SimpleTestCase):
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def test_chicken_life_excludes_harvest(self):
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self.assertEqual(compute_chicken_life(25000, 942), 24058)
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self.assertEqual(compute_chicken_life_percentage(25000, 24058), 96.232)
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self.assertEqual(compute_stock_akhir(24058, 6400), 17658)
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def test_fcr_matches_excel_days_30_to_35(self):
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for row in EXCEL_DAYS:
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with self.subTest(age=row["age"]):
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got = compute_fcr(
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row["feed_total"],
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row["stock_akhir"],
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row["iot_weight"],
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row["harvest_weight_total_g"],
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)
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self.assertAlmostEqual(got, row["excel_fcr"], places=9)
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def test_average_harvest_blend_matches_excel_days_30_to_35(self):
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for row in EXCEL_DAYS:
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with self.subTest(age=row["age"]):
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avg_bw = compute_average_harvest_weight(
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row["harvest_weight_total_g"],
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row["stock_akhir"],
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row["iot_weight"],
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row["harvest_total"],
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)
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avg_day = compute_average_harvest_day(
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_harvest_age_sum(row),
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row["age"],
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row["stock_akhir"],
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row["harvest_total"],
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)
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self.assertAlmostEqual(avg_bw, row["excel_avg_bw"], places=6)
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self.assertAlmostEqual(avg_day, row["excel_avg_day"], places=6)
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def test_eef_matches_excel_days_30_to_35(self):
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# Use Excel avg columns + computed FCR (same path as verified against the sheet).
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for row in EXCEL_DAYS:
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with self.subTest(age=row["age"]):
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fcr = compute_fcr(
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row["feed_total"],
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row["stock_akhir"],
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row["iot_weight"],
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row["harvest_weight_total_g"],
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)
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got = compute_eef(
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row["life_pct"],
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row["excel_avg_bw"],
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row["excel_avg_day"],
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fcr,
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)
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self.assertAlmostEqual(got, row["excel_eef"], places=9)
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def test_fcr_and_eef_zero_when_denom_invalid(self):
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self.assertEqual(compute_fcr(100, 0, 0, 0), 0.0)
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self.assertEqual(compute_eef(99.0, 1000.0, 0, 1.2), 0.0)
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self.assertEqual(compute_eef(99.0, 1000.0, 10, 0), 0.0)
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