Merge branch 'develop' into feature/ui-tablero-cartas
This commit is contained in:
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# deck-of-cards
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Prueba de feature en una rama hija de develop para hacer un pull request. V2
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Prueba de feature en una rama hija de develop para hacer un pull request.
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+168
-29
@@ -1,54 +1,193 @@
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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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from typing import List, Dict, Tuple
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from fastapi.middleware.cors import CORSMiddleware
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app = FastAPI()
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# Configuración CORS para permitir peticiones desde React
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Permite cualquier origen (perfecto para desarrollo local)
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allow_credentials=True,
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allow_methods=["*"], # Permite POST, GET, OPTIONS, etc.
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allow_headers=["*"], # Permite cualquier cabecera
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)
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# -----------------------------
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# MODELOS
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# -----------------------------
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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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class DoCMFRequest(BaseModel):
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term: str
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core: Tuple[float, float] # [a, b]
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support: Tuple[float, float] # [c, d]
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left_nodes_x: List[float]
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left_blank_cards: List[int]
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right_nodes_x: List[float]
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right_blank_cards: List[int]
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class EvaluationRequest(BaseModel):
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x: float
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left_nodes: List[Tuple[float, float]]
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right_nodes: List[Tuple[float, float]]
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core: Tuple[float, float]
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support: Tuple[float, float]
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# -----------------------------
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# ENDPOINT 1: FUNCIÓN DE VALOR DoC
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# -----------------------------
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@app.post("/api/criteria/doc/value-function")
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def calcular(request: ValueFunctionRequest):
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def calcular_value_function(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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cards = request.blank_cards
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refs = 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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ref_indices = sorted(int(k) for k in refs)
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p, q = ref_indices
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up, uq = refs[str(p)], refs[str(q)]
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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_units = sum(cards[i] + 1 for i in range(p, q))
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alpha = (uq - up) / total_units if total_units else 0
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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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values[p] = up
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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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for i in range(p + 1, len(levels)):
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units = sum(cards[r] + 1 for r in range(p, i))
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values[i] = up + alpha * 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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for i in range(p - 1, -1, -1):
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units = sum(cards[r] + 1 for r in range(i, p))
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values[i] = up - alpha * 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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# -----------------------------
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# ENDPOINT 2: CONSTRUIR DoC-MF
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# -----------------------------
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@app.post("/api/criteria/doc-mf/build")
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def build_doc_mf(request: DoCMFRequest):
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a, b = request.core
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c, d = request.support
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# ---- LADO IZQUIERDO ----
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left_x = request.left_nodes_x
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left_e = request.left_blank_cards
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TL = sum(e + 1 for e in left_e)
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YL = 1 / TL if TL else 0
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left_nodes = []
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acc = 0
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for i in range(len(left_x)):
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if i == 0:
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left_nodes.append((left_x[i], 0.0))
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else:
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acc += (left_e[i-1] + 1)
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left_nodes.append((left_x[i], round(acc * YL, 4)))
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# ---- LADO DERECHO ----
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right_x = request.right_nodes_x
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right_e = request.right_blank_cards
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TR = sum(e + 1 for e in right_e)
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YR = 1 / TR if TR else 0
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right_nodes = []
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acc = 0
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for i in range(len(right_x)):
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if i == 0:
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right_nodes.append((right_x[i], 1.0))
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else:
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acc += (right_e[i-1] + 1)
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right_nodes.append((right_x[i], round(1 - acc * YR, 4)))
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return {
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"term": request.term,
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"core": request.core,
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"support": request.support,
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"left_nodes": left_nodes,
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"right_nodes": right_nodes
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}
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# -----------------------------
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# ENDPOINT 3: EVALUAR UN VALOR x
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# -----------------------------
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def linear_interpolation(x, nodes):
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for i in range(len(nodes) - 1):
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x0, y0 = nodes[i]
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x1, y1 = nodes[i+1]
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if x0 <= x <= x1:
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t = (x - x0) / (x1 - x0)
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return y0 + t * (y1 - y0)
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return 0.0
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@app.post("/api/criteria/doc-mf/evaluate")
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def evaluate_doc_mf(request: EvaluationRequest):
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x = request.x
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a, b = request.core
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c, d = request.support
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if x < c or x > d:
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return {"membership": 0.0}
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if a <= x <= b:
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return {"membership": 1.0}
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if c <= x < a:
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return {"membership": linear_interpolation(x, request.left_nodes)}
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if b < x <= d:
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return {"membership": linear_interpolation(x, request.right_nodes)}
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return {"membership": 0.0}
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# -----------------------------
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# ENDPOINT 4: PUNTOS (x,y) DE LA FUNCIÓN DE VALOR
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# -----------------------------
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@app.post("/api/criteria/doc/value-function/points")
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def value_function_points(request: ValueFunctionRequest):
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levels = request.levels
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cards = request.blank_cards
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refs = request.references
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ref_indices = sorted(int(k) for k in refs)
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p, q = ref_indices
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up, uq = refs[str(p)], refs[str(q)]
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total_units = sum(cards[i] + 1 for i in range(p, q))
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alpha = (uq - up) / total_units if total_units else 0
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values = [0] * len(levels)
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values[p] = up
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for i in range(p + 1, len(levels)):
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units = sum(cards[r] + 1 for r in range(p, i))
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values[i] = up + alpha * units
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for i in range(p - 1, -1, -1):
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units = sum(cards[r] + 1 for r in range(i, p))
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values[i] = up - alpha * units
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points = [{"x": i, "y": round(values[i], 4)} for i in range(len(levels))]
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return {"points": points}
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