Brushed up the backend, added writing task 1 academic prompt gen and grading ENCOA-274

ielts_be/mappers/reading.py

@@ -0,0 +1,44 @@
+from typing import Dict, Any
+
+from ielts_be.dtos.exams.reading import (
+    Part, Exam, Context, FillBlanksExercise,
+    TrueFalseExercise, MatchSentencesExercise,
+    WriteBlanksExercise, MultipleChoice
+)
+
+
+class ReadingMapper:
+
+    @staticmethod
+    def map_to_exam_model(response: Dict[str, Any]) -> Exam:
+        parts = []
+        for part in response['parts']:
+            part_exercises = part['exercises']
+            context = Context(**part['text'])
+
+            model_map = {
+                'fillBlanks': FillBlanksExercise,
+                'trueFalse': TrueFalseExercise,
+                'matchSentences': MatchSentencesExercise,
+                'writeBlanks': WriteBlanksExercise,
+                'multipleChoice': MultipleChoice,
+            }
+
+            exercises = []
+            for exercise in part_exercises:
+                exercise_type = exercise['type']
+                if exercise_type in model_map:
+                    model_class = model_map[exercise_type]
+                    exercises.append(model_class(**exercise))
+                else:
+                    raise ValueError(f"Unknown exercise type: {exercise_type}")
+
+            part_kwargs = {
+                "exercises": exercises,
+                "text": context
+            }
+
+            part_model = Part(**part_kwargs)
+            parts.append(part_model)
+
+        return Exam(parts=parts, minTimer=response["minTimer"])