76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel
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from typing import List, Optional, Dict, Any, Tuple
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from problems.interval_scheduling.problem import IntervalSchedulingProblem
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router = APIRouter(
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prefix="/interval_scheduling",
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tags=["interval_scheduling"],
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responses={404: {"description": "Not found"}},
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)
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problem_solver = IntervalSchedulingProblem()
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class GenerateRequest(BaseModel):
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size: int = 10
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min_time: int = 0
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max_time: int = 100
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class SolveRequest(BaseModel):
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intervals: List[Tuple[int, int]]
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algorithms: List[str] = ["greedy", "brute_force"]
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class BenchmarkRequest(BaseModel):
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sizes: List[int] = [5, 10, 15, 20]
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algorithms: List[str] = ["greedy", "brute_force"]
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@router.post("/generate")
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async def generate_case(req: GenerateRequest):
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return problem_solver.generate_case(size=req.size, min_time=req.min_time, max_time=req.max_time)
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@router.post("/solve")
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async def solve_case(req: SolveRequest):
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input_data = {"intervals": req.intervals}
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results = []
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for algo in req.algorithms:
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try:
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# Skip Brute Force for large inputs to avoid timeout
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if len(req.intervals) > 22 and algo == "brute_force":
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results.append({
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"algorithm": algo,
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"error": "Input too large for Brute Force (limit 22)",
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"skipped": True
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})
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continue
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res = problem_solver.solve(input_data, algo)
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results.append(res)
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except ValueError as e:
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results.append({"algorithm": algo, "error": str(e)})
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return results
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@router.post("/benchmark")
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async def benchmark(req: BenchmarkRequest):
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benchmark_results = []
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for size in req.sizes:
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input_data = problem_solver.generate_case(size=size)
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size_result = {"size": size, "algorithms": []}
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for algo in req.algorithms:
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try:
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if size > 22 and algo == "brute_force":
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size_result["algorithms"].append({
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"algorithm": algo,
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"time_seconds": None,
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"skipped": True
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})
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continue
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res = problem_solver.solve(input_data, algo)
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size_result["algorithms"].append(res)
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except Exception as e:
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size_result["algorithms"].append({"algorithm": algo, "error": str(e)})
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benchmark_results.append(size_result)
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return benchmark_results
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