Changes to endpoints so they allow to only get context and then the exercises as well as tidying up a bit

app/mappers/__init__.py

@@ -1,5 +1,5 @@
-from .exam import ExamMapper
+from .level import LevelMapper
 
 __all__ = [
-    "ExamMapper"
+    "LevelMapper"
 ]

app/mappers/level.py

@@ -2,7 +2,7 @@ from typing import Dict, Any
 
 from pydantic import ValidationError
 
-from app.dtos.exam import (
+from app.dtos.exams.level import (
     MultipleChoiceExercise,
     FillBlanksExercise,
     Part, Exam
@@ -10,7 +10,7 @@ from app.dtos.exam import (
 from app.dtos.sheet import Sheet, Option, MultipleChoiceQuestion, FillBlanksWord
 
 
-class ExamMapper:
+class LevelMapper:
 
     @staticmethod
     def map_to_exam_model(response: Dict[str, Any]) -> Exam:

app/mappers/reading.py

@@ -0,0 +1,39 @@
+from typing import Dict, Any
+
+from app.dtos.exams.reading import (
+    Part, Exam, Context, FillBlanksExercise,
+    TrueFalseExercise, MatchSentencesExercise,
+    WriteBlanksExercise
+)
+
+
+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
+            }
+
+            exercises = []
+            for exercise in part_exercises:
+                exercise_type = exercise['type']
+                exercises.append(model_map[exercise_type](**exercise))
+
+            part_kwargs = {
+                "exercises": exercises,
+                "text": context
+            }
+
+            part_model = Part(**part_kwargs)
+            parts.append(part_model)
+
+        return Exam(parts=parts, minTimer=response["minTimer"])