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import json |
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from pathlib import Path |
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def map_answer_to_index(answer_letter): |
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"""Convert answer letter to numerical index (0-based)""" |
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return {'a': 0, 'b': 1, 'c': 2, 'd': 3}[answer_letter.lower()] |
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def find_correct_answer(question): |
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"""Correct answer is always A / 0""" |
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return 0 |
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def transform_question(question): |
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"""Transform a single question from original format to target format""" |
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transformed = { |
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"language": "de", |
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"country": "Germany", |
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"file_name": "fragenkatalog3b.json", |
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"source": "https://www.bundesnetzagentur.de/SharedDocs/Downloads/DE/Sachgebiete/Telekommunikation/Unternehmen_Institutionen/Frequenzen/Amateurfunk/Fragenkatalog/PruefungsfragenZIP.html - Prüfungsfragen zum Erwerb von Amateurfunkprüfungsbescheinigungen, Bundesnetzagentur, 3. Auflage, März 2024, (www.bundesnetzagentur.de/amateurfunk), Datenlizenz Deutschland – Namensnennung – Version 2.0 (www.govdata.de/dl-de/by-2-0)", |
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"license": "DL-DE->BY-2.0", |
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"level": f"Official Exam (Class {question['class']})", |
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"category_en": "Amateur Radio", |
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"category_original_lang": "Amateurfunk", |
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"original_question_num": question["number"], |
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"question": question["question"].strip(), |
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"parallel_question_id": None, |
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"image_png": None, |
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"image_information": None, |
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"image_type": None |
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} |
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if any(key.startswith('picture_') for key in question.keys()): |
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if 'picture_a' in question: |
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transformed["options"] = [ |
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question['picture_a'] + ".png", |
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question['picture_b'] + ".png", |
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question['picture_c'] + ".png", |
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question['picture_d'] + ".png" |
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] |
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else: |
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transformed["options"] = [ |
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question['answer_a'].strip(), |
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question['answer_b'].strip(), |
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question['answer_c'].strip(), |
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question['answer_d'].strip() |
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] |
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if 'picture_question' in question: |
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transformed["image_png"] = question["picture_question"] + ".png" |
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transformed["image_information"] = "essential" |
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transformed["image_type"] = "diagram" |
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else: |
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transformed["options"] = [ |
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question['answer_a'].strip(), |
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question['answer_b'].strip(), |
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question['answer_c'].strip(), |
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question['answer_d'].strip() |
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] |
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transformed["answer"] = find_correct_answer(question) |
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return transformed |
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def convert_questions(input_file): |
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"""Convert all questions from input file to new format""" |
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with open(input_file, 'r', encoding='utf-8') as f: |
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data = json.load(f) |
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transformed_questions = [] |
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def process_section(section): |
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if 'questions' in section: |
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for q in section['questions']: |
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transformed_questions.append(transform_question(q)) |
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if 'sections' in section: |
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for subsection in section['sections']: |
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process_section(subsection) |
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process_section(data) |
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return transformed_questions |
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def main(): |
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input_file = Path('fragenkatalog3b.json') |
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output_file = input_file.with_stem(input_file.stem + '_transformed') |
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transformed = convert_questions(input_file) |
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with open(output_file, 'w', encoding='utf-8') as f: |
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json.dump(transformed, f, ensure_ascii=False, indent=2) |
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if __name__ == "__main__": |
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main() |
