"""
Score Normalizer
Единая система нормализации scoring для всего проекта
"""
from typing import Dict, Any, Optional
def normalize_score(score: float, system: str = "20-point") -> float:
"""
Нормализация score в диапазон 0-10
Args:
score: Исходный score
system: Система scoring ("20-point", "15-point", "12-point", "10-point")
Returns:
Нормализованный score в диапазоне 0-10
"""
if score is None or score < 0:
return 0.0
# Определяем максимум для системы
max_scores = {
"20-point": 20.0,
"15-point": 15.0,
"12-point": 12.0,
"10-point": 10.0
}
max_score = max_scores.get(system, 10.0)
# Нормализуем в 0-10
normalized = (score / max_score) * 10.0
return round(min(10.0, max(0.0, normalized)), 2)
def normalize_opportunity_score(opportunity: Dict[str, Any]) -> Dict[str, Any]:
"""
Нормализация всех score полей в opportunity
Args:
opportunity: Объект возможности
Returns:
Opportunity с нормализованными score
"""
# Определяем какая система использовалась
raw_score = opportunity.get("score", 0.0)
# Автоопределение системы по значению
if raw_score > 15.0:
system = "20-point"
elif raw_score > 12.0:
system = "15-point"
elif raw_score > 10.0:
system = "12-point"
else:
system = "10-point"
# Нормализуем все варианты score
normalized = normalize_score(raw_score, system)
opportunity["score"] = normalized
opportunity["confluence_score"] = normalized
opportunity["final_score"] = normalized
# Если есть score_breakdown, нормализуем total
if "score_breakdown" in opportunity:
breakdown = opportunity["score_breakdown"]
if isinstance(breakdown, dict) and "total" in breakdown:
breakdown["total"] = normalized
return opportunity
def validate_score_fields(opportunity: Dict[str, Any]) -> bool:
"""
Валидация наличия и корректности score полей
Args:
opportunity: Объект возможности
Returns:
True если все score поля валидны
"""
required_fields = ["score", "confluence_score", "final_score"]
for field in required_fields:
value = opportunity.get(field)
if value is None:
return False
if not isinstance(value, (int, float)):
return False
if value < 0 or value > 10:
return False
return True
