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import re
import json
from tqdm import tqdm
from loguru import logger
from pathlib import Path
from typing import Tuple, List
project_root = Path(__file__).parent.parent.parent
problem_pattern = re.compile(r'\n(\d+)\.\s+', re.IGNORECASE)
solution_pattern = re.compile(r'(?:\n|# )Opgave\s+(\d+)\.', re.IGNORECASE)
def analyze_problem(text: str) -> Tuple[List, int]:
tags = list(problem_pattern.finditer(text))
problem_num = len(tags)
tags.sort(key=lambda x: x.start())
return tags, problem_num
def analyze_solution(text: str) -> Tuple[List, int]:
tags = list(solution_pattern.finditer(text))
solution_num = len(tags)
tags.sort(key=lambda x: x.start())
return tags, solution_num
def segment(text: str, tags: list):
starts = []
ends = []
for i, t in enumerate(tags):
starts.append(t.end())
if i + 1 < len(tags):
ends.append(tags[i + 1].start())
else:
ends.append(len(text))
return [text[start:end].strip() for start, end in zip(starts, ends)]
def join(problems, solutions):
pairs = []
for problem in problems:
key = problem[0].group(1)
problem_content = problem[1]
problem_label = key
problem_match = problem[0].group(0)
solution_content, solution_match = [], ''
# (a) Oplossing 1.
for s in solutions:
if s[0].group(1) == key:
solution_content = s[1]
solution_match = s[0].group(0)
break
pairs.append((problem_content, solution_content, problem_label, problem_match, solution_match))
return pairs
def write_pairs(output_file: Path, pairs):
year = re.search(r'(\d{4})', output_file.stem).group(1)
output_jsonl_text = ""
for problem, solution, problem_label, problem_match, solution_match in pairs:
output_jsonl_text += json.dumps(
{
'year': year,
'tier': 'T1',
'problem_label': problem_label,
'problem_type': None,
"exam": "Dutch_TST",
'problem': problem,
'solution': solution,
'metadata': {
'resource_path': output_file.relative_to(project_root).as_posix(),
'problem_match': problem_match,
'solution_match': solution_match
}
},
ensure_ascii=False
) + '\n'
output_file.write_text(output_jsonl_text, encoding="utf-8")
def main():
compet_base_path = Path(__file__).resolve().parent.parent
compet_md_path = compet_base_path / "md"
seg_output_path = compet_base_path / "segmented"
special_years_md = {
"2007": {
"problem": "nl-2007-opgaven.md",
"solution": "nl-2007-uitwerkingen.md"
},
"2008": {
"problem": "nl-2008-opgaven.md",
"solution": "nl-2008-uitwerkingen.md"
}
}
total_problem_count = 0
total_solution_count = 0
for year, md in tqdm(special_years_md.items()):
problem_path = compet_md_path / md["problem"]
solution_path = compet_md_path / md["solution"]
output_file = seg_output_path / solution_path.relative_to(compet_md_path).with_suffix('.jsonl')
output_file.parent.mkdir(parents=True, exist_ok=True)
problem_content = problem_path.read_text(encoding="utf-8")
problem_tags, problem_num = analyze_problem(problem_content)
segmented_problems = segment(problem_content, problem_tags)
problems = zip(problem_tags, segmented_problems)
solution_content = solution_path.read_text(encoding="utf-8")
solution_tags, solution_num = analyze_solution(solution_content)
segmented_solutions = segment(solution_content, solution_tags)
solutions = zip(solution_tags, segmented_solutions)
pairs = join(problems, solutions)
write_pairs(output_file, pairs)
total_problem_count += problem_num
total_solution_count += len(pairs)
logger.info(f"Total problem count: {total_problem_count}")
logger.info(f"Total solution count: {total_solution_count}")
if __name__ == "__main__":
main() |