Mireya Cueto Garrido
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
from fastapi import FastAPI
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from pydantic import BaseModel
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from typing import List, Dict
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app = FastAPI()
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class ValueFunctionRequest(BaseModel):
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criterion_name: str
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levels: List[str]
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blank_cards: List[int]
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references: Dict[str, float]
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@app.get("/prueba")
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def prueba():
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return {"mensaje": "¡Hola desde FastAPI! El contenedor de docker está funcionando"}
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@app.post("/api/criteria/doc/value-function")
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def calcular(request: ValueFunctionRequest):
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levels = request.levels
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cards_between_levels = request.blank_cards
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reference_values = request.references
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# Índices de referencia (por ejemplo 0 y 4)
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ref_indices = sorted(int(k) for k in reference_values)
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lower_ref, upper_ref = ref_indices
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# Valores asignados a esas referencias
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lower_value = reference_values[str(lower_ref)]
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upper_value = reference_values[str(upper_ref)]
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# Total de unidades entre las referencias
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total_units = sum(cards_between_levels[i] + 1 for i in range(lower_ref, upper_ref))
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# Valor por unidad
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unit_value = (upper_value - lower_value) / total_units if total_units else 0
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# Lista de valores finales
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values = [0] * len(levels)
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values[lower_ref] = lower_value
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# Hacia arriba
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for i in range(lower_ref + 1, len(levels)):
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units = sum(cards_between_levels[r] + 1 for r in range(lower_ref, i))
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values[i] = lower_value + unit_value * units
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# Hacia abajo
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for i in range(lower_ref - 1, -1, -1):
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units = sum(cards_between_levels[r] + 1 for r in range(i, lower_ref))
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values[i] = lower_value - unit_value * units
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return {
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"criterion_name": request.criterion_name,
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"values": {levels[i]: round(values[i], 4) for i in range(len(levels))}
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}
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