136 lines
3.7 KiB
Python
136 lines
3.7 KiB
Python
from __future__ import annotations
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from typing import Any, Mapping
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from app.modules.zootech.lab.nutrient_schema import resolve_sv_g_per_kg
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def normalize_key(value: str) -> str:
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return " ".join((value or "").split()).strip().lower()
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def parse_num(value: Any) -> float | None:
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if value is None or value == "":
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return None
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try:
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n = float(value)
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except (TypeError, ValueError):
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return None
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return None if n != n else n
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def get_nutrient_value(
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dry_matter: float | None,
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nutrients: Mapping[str, Any] | None,
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nutrient_keys: list[str],
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*,
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indicator_key: str | None = None,
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) -> float | None:
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"""Только точное совпадение ключа (заголовок или indicator_key slug)."""
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nutrients = nutrients or {}
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if indicator_key:
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for k, v in nutrients.items():
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if normalize_key(str(k)) == normalize_key(indicator_key):
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n = parse_num(v)
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if n is not None:
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return n
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for search in nutrient_keys:
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target = normalize_key(search)
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for k, v in nutrients.items():
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if normalize_key(str(k)) != target:
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continue
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n = parse_num(v)
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if n is not None:
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return n
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if any(normalize_key(k) == "св" for k in nutrient_keys):
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return resolve_sv_g_per_kg(nutrients, dry_matter)
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return None
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def weighted_average(
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lines: list[dict[str, Any]],
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total_kg: float,
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nutrient_keys: list[str],
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*,
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indicator_key: str | None = None,
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) -> float | None:
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if total_kg <= 0:
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return None
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total = 0.0
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weight = 0.0
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for line in lines:
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kg = float(line.get("daily_kg") or 0)
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if kg <= 0:
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continue
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v = get_nutrient_value(
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line.get("dry_matter"),
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line.get("nutrients"),
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nutrient_keys,
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indicator_key=indicator_key,
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)
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if v is None:
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continue
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total += kg * v
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weight += kg
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if weight <= 0:
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return None
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return total / weight
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def daily_intake_total(
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lines: list[dict[str, Any]],
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nutrient_keys: list[str],
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*,
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heads_per_trip: int = 1,
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indicator_key: str | None = None,
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) -> float | None:
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"""Суточная доза на голову (г или МДж): Σ (кг/день/гол × г/кг). Как Excel Рацион КРС."""
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heads = max(int(heads_per_trip or 1), 1)
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total = 0.0
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any_value = False
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for line in lines:
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herd_kg = float(line.get("daily_kg") or 0)
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if herd_kg <= 0:
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continue
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kg = herd_kg / heads
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v = get_nutrient_value(
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line.get("dry_matter"),
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line.get("nutrients"),
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nutrient_keys,
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indicator_key=indicator_key,
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)
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if v is None:
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continue
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total += kg * v
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any_value = True
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return total if any_value else None
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def rnb(
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crude_protein: float | None,
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usp: float | None,
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) -> float | None:
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"""RNB (ruminal nitrogen balance, GfE): (сырой протеин − уСП) / 6,25."""
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if crude_protein is None or usp is None:
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return None
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return (crude_protein - usp) / 6.25
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def bra_rnb(crude_protein: float | None, usp: float | None) -> float | None:
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"""Deprecated alias for :func:`rnb`."""
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return rnb(crude_protein, usp)
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def norm_diff(
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content: float | None,
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min_val: float | None,
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max_val: float | None,
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) -> float | None:
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if content is None:
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return None
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if min_val is not None and content < min_val:
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return content - min_val
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if max_val is not None and content > max_val:
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return content - max_val
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return 0.0
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