iteracion 2

2026-09-07 18:44:32 -03:00
parent a103a47ae6
commit 09a3f6fb37
93 changed files with 7394 additions and 349 deletions
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+from .rubric import TalentScoringEngine
+
+__all__ = ['TalentScoringEngine']
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+"""
+7-Dimension Scoring Engine with Knockout Criterion for EFINTEL Talent Pool.
+"""
+
+from decimal import Decimal, ROUND_HALF_UP
+from datetime import date, timedelta
+from typing import Dict, Any
+
+class TalentScoringEngine:
+    # 7-Dimension Official Weighting
+    WEIGHT_CASE_STUDY = Decimal('0.25')       # 25% (Knockout if < 70)
+    WEIGHT_PORTFOLIO = Decimal('0.15')        # 15%
+    WEIGHT_TECH_SPECIFIC = Decimal('0.15')    # 15%
+    WEIGHT_CARDINAL_SKILLS = Decimal('0.15')  # 15%
+    WEIGHT_EXPERIENCE = Decimal('0.10')       # 10%
+    WEIGHT_PRINCIPLES = Decimal('0.10')       # 10%
+    WEIGHT_INNOVATION = Decimal('0.10')       # 10%
+
+    KNOCKOUT_THRESHOLD = Decimal('70.0')
+    APPROVAL_THRESHOLD = Decimal('80.0')
+    RESERVE_THRESHOLD = Decimal('65.0')
+    VALIDITY_DAYS = 365
+
+    @classmethod
+    def evaluate(
+        cls,
+        dim_case_study: Decimal,
+        dim_portfolio: Decimal,
+        dim_tech_specific: Decimal,
+        dim_cardinal_skills: Decimal,
+        dim_experience: Decimal,
+        dim_principles_safety: Decimal,
+        dim_innovation_rndi: Decimal,
+        evaluation_date: date = None
+    ) -> Dict[str, Any]:
+        """
+        Calculates weighted 7D score, evaluates Knockout condition, determines status and validity.
+        """
+        d1 = Decimal(str(dim_case_study or 0))
+        d2 = Decimal(str(dim_portfolio or 0))
+        d3 = Decimal(str(dim_tech_specific or 0))
+        d4 = Decimal(str(dim_cardinal_skills or 0))
+        d5 = Decimal(str(dim_experience or 0))
+        d6 = Decimal(str(dim_principles_safety or 0))
+        d7 = Decimal(str(dim_innovation_rndi or 0))
+
+        # Check Knockout condition on Dimension 1 (Caso Práctico / Prueba Técnica)
+        is_knockout = d1 < cls.KNOCKOUT_THRESHOLD
+
+        # Calculate weighted total
+        weighted_score = (
+            (d1 * cls.WEIGHT_CASE_STUDY) +
+            (d2 * cls.WEIGHT_PORTFOLIO) +
+            (d3 * cls.WEIGHT_TECH_SPECIFIC) +
+            (d4 * cls.WEIGHT_CARDINAL_SKILLS) +
+            (d5 * cls.WEIGHT_EXPERIENCE) +
+            (d6 * cls.WEIGHT_PRINCIPLES) +
+            (d7 * cls.WEIGHT_INNOVATION)
+        ).quantize(Decimal('0.01'), rounding=ROUND_HALF_UP)
+
+        # Determine Final Result Status
+        if is_knockout:
+            result_status = 'DESCARTADO'
+            verdict_message = f"Descartado por Criterio Knockout: Caso Práctico ({d1}/100) inferior al mínimo aprobatorio de {cls.KNOCKOUT_THRESHOLD} puntos."
+        elif weighted_score >= cls.APPROVAL_THRESHOLD:
+            result_status = 'APROBADO_CARTERA'
+            verdict_message = f"¡Aprobado en Cartera de Especialistas! Puntaje de {weighted_score}/100 superior al umbral de excelencia ({cls.APPROVAL_THRESHOLD})."
+        elif weighted_score >= cls.RESERVE_THRESHOLD:
+            result_status = 'EN_RESERVA'
+            verdict_message = f"Calificado en Banco de Reserva ({weighted_score}/100). Cumple estándares operacionales para proyectos secundarios o convocatorias de contingencia."
+        else:
+            result_status = 'DESCARTADO'
+            verdict_message = f"Descartado: Puntaje ponderado ({weighted_score}/100) no alcanza el umbral mínimo de corte ({cls.RESERVE_THRESHOLD})."
+
+        eval_date = evaluation_date or date.today()
+        valid_until = eval_date + timedelta(days=cls.VALIDITY_DAYS)
+
+        return {
+            'weighted_score': weighted_score,
+            'is_knockout': is_knockout,
+            'result_status': result_status,
+            'verdict_message': verdict_message,
+            'valid_until': valid_until,
+            'breakdown': {
+                'case_study_weighted': (d1 * cls.WEIGHT_CASE_STUDY).quantize(Decimal('0.01')),
+                'portfolio_weighted': (d2 * cls.WEIGHT_PORTFOLIO).quantize(Decimal('0.01')),
+                'tech_specific_weighted': (d3 * cls.WEIGHT_TECH_SPECIFIC).quantize(Decimal('0.01')),
+                'cardinal_skills_weighted': (d4 * cls.WEIGHT_CARDINAL_SKILLS).quantize(Decimal('0.01')),
+                'experience_weighted': (d5 * cls.WEIGHT_EXPERIENCE).quantize(Decimal('0.01')),
+                'principles_weighted': (d6 * cls.WEIGHT_PRINCIPLES).quantize(Decimal('0.01')),
+                'innovation_weighted': (d7 * cls.WEIGHT_INNOVATION).quantize(Decimal('0.01')),
+            }
+        }