67 lines
2.1 KiB
Python
67 lines
2.1 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
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from problems.n_queens.problem import NQueensProblem
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router = APIRouter(
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prefix="/n_queens",
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tags=["n_queens"],
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responses={404: {"description": "Not found"}},
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)
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problem_solver = NQueensProblem()
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class GenerateRequest(BaseModel):
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n: int = 8
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class SolveRequest(BaseModel):
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n: int
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algorithms: List[str] = ["backtracking"]
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class BenchmarkRequest(BaseModel):
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sizes: List[int] = [4, 8, 10, 12]
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algorithms: List[str] = ["backtracking"]
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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(n=req.n)
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@router.post("/solve")
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async def solve_case(req: SolveRequest):
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input_data = {"n": req.n}
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results = []
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for algo in req.algorithms:
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try:
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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 = {"n": 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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# Skip large N for backtracking if finding all solutions (though our solve defaults to one for large N)
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# But for benchmark we might want to be careful.
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if size > 14 and algo == "backtracking":
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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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