| from pathlib import Path |
| from pydantic import BaseModel |
| import json |
|
|
| MARKDOWN_DIR = Path("markdown") |
|
|
| class Problem(BaseModel): |
| year: str |
| problem_id: str |
| problem: str |
| solution: str | None |
| |
| def to_dict(self): |
| return { |
| "id": f"{self.year}-imo-{self.problem_id}", |
| "problem": self.problem, |
| "solution": self.solution |
| } |
|
|
| def get_problem(year: str, problem_id: str, problem_dir: Path): |
| problem_file = problem_dir / "problem.md" |
| solution_file = problem_dir / "solution.md" |
| with open(problem_file, "r", encoding="utf-8") as f: |
| problem = f.read() |
| if solution_file.exists(): |
| with open(solution_file, "r", encoding="utf-8") as f: |
| solution = f.read() |
| else: |
| solution = None |
| return Problem(year=year, problem_id=problem_id, problem=problem, solution=solution) |
|
|
| def convert_problems(): |
| result = [] |
| for year_dir in MARKDOWN_DIR.iterdir(): |
| if not year_dir.is_dir(): |
| continue |
| year = year_dir.name |
| for problem_dir in year_dir.iterdir(): |
| if not problem_dir.is_dir(): |
| continue |
| problem_number = problem_dir.name |
| result.append(get_problem(year, problem_number, problem_dir).to_dict()) |
| result.sort(key=lambda x: x["id"]) |
| return result |
|
|
| if __name__ == "__main__": |
| result = convert_problems() |
| with open("imo_2025.json", "w", encoding="utf-8") as f: |
| json.dump(result, f) |
