initial upload

convert.py

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+# script used to convert original json
+import json
+from pathlib import Path
+
+def map_answer_to_index(answer_letter):
+    """Convert answer letter to numerical index (0-based)"""
+    return {'a': 0, 'b': 1, 'c': 2, 'd': 3}[answer_letter.lower()]
+
+def find_correct_answer(question):
+    """Correct answer is always A / 0"""
+    return 0
+
+def transform_question(question):
+    """Transform a single question from original format to target format"""
+    
+    # Base question structure
+    transformed = {
+        "language": "de",
+        "country": "Germany",
+        "file_name": "fragenkatalog3b.json",
+        "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)",
+        "license": "DL-DE->BY-2.0",
+        "level": f"Official Exam (Class {question['class']})", 
+        "category_en": "Amateur Radio",
+        "category_original_lang": "Amateurfunk",
+        "original_question_num": question["number"],
+        "question": question["question"].strip(),
+        "parallel_question_id": None,
+        "image_png": None,
+        "image_information": None,
+        "image_type": None
+    }
+
+    # Handle options based on question type
+    if any(key.startswith('picture_') for key in question.keys()):
+        # Question with images
+        if 'picture_a' in question:
+            # Multiple choice with image options
+            transformed["options"] = [
+                question['picture_a'] + ".png",
+                question['picture_b'] + ".png", 
+                question['picture_c'] + ".png",
+                question['picture_d'] + ".png"
+            ]
+        else:
+            # Text options with question image
+            transformed["options"] = [
+                question['answer_a'].strip(),
+                question['answer_b'].strip(),
+                question['answer_c'].strip(), 
+                question['answer_d'].strip()
+            ]
+            if 'picture_question' in question:
+                transformed["image_png"] = question["picture_question"] + ".png"
+                transformed["image_information"] = "essential"
+                transformed["image_type"] = "diagram"
+    else:
+        # Regular text-only question
+        transformed["options"] = [
+            question['answer_a'].strip(),
+            question['answer_b'].strip(),
+            question['answer_c'].strip(),
+            question['answer_d'].strip()
+        ]
+
+    # Set the correct answer
+    transformed["answer"] = find_correct_answer(question)
+
+    return transformed
+
+def convert_questions(input_file):
+    """Convert all questions from input file to new format"""
+    with open(input_file, 'r', encoding='utf-8') as f:
+        data = json.load(f)
+    
+    transformed_questions = []
+    
+    def process_section(section):
+        if 'questions' in section:
+            for q in section['questions']:
+                transformed_questions.append(transform_question(q))
+        if 'sections' in section:
+            for subsection in section['sections']:
+                process_section(subsection)
+    
+    process_section(data)
+    
+    return transformed_questions
+
+def main():
+    input_file = Path('fragenkatalog3b.json')
+    output_file = input_file.with_stem(input_file.stem + '_transformed')
+    
+    transformed = convert_questions(input_file)
+    
+    with open(output_file, 'w', encoding='utf-8') as f:
+        json.dump(transformed, f, ensure_ascii=False, indent=2)
+
+if __name__ == "__main__":
+    main()