ENCOA-255 gpt was grouping parts by sections and the reading passages were not updated with text.content instead of the old context field

app/api/level.py

@@ -54,7 +54,6 @@ async def import_level(
 ):
     return await level_controller.upload_level(exercises, solutions)
 
-
 @level_router.post(
     '/custom/',
     dependencies=[Depends(Authorized([IsAuthenticatedViaBearerToken]))]

app/dtos/exams/level.py

@@ -47,10 +47,13 @@ class FillBlanksExercise(BaseModel):
 
 Exercise = Union[MultipleChoiceExercise, FillBlanksExercise]
 
+class Text(BaseModel):
+    content: str
+    title: str
 
 class Part(BaseModel):
     exercises: List[Exercise]
-    context: Optional[str] = Field(default=None)
+    text: Optional[Text] = Field(default=None)
 
 
 class Exam(BaseModel):

app/mappers/level.py

@@ -5,7 +5,7 @@ from pydantic import ValidationError
 from app.dtos.exams.level import (
     MultipleChoiceExercise,
     FillBlanksExercise,
-    Part, Exam
+    Part, Exam, Text
 )
 from app.dtos.sheet import Sheet, Option, MultipleChoiceQuestion, FillBlanksWord
 
@@ -17,7 +17,7 @@ class LevelMapper:
         parts = []
         for part in response['parts']:
             part_exercises = part['exercises']
-            context = part.get('context', None)
+            text = part.get('text', None)
 
             exercises = []
             for exercise in part_exercises:
@@ -32,8 +32,13 @@ class LevelMapper:
                 exercises.append(exercise_model)
 
             part_kwargs = {"exercises": exercises}
-            if context is not None:
+            if text is not None and text.get('content', None):
-                part_kwargs["context"] = context
+                title = text.get('title', 'Untitled')
+                if title == '':
+                    title = 'Untitled'
+                part_kwargs["text"] = Text(title=title, content=text['content'])
+            else:
+                part_kwargs["text"] = None
 
             part_model = Part(**part_kwargs)
             parts.append(part_model)

app/services/impl/exam/level/upload.py

@@ -57,7 +57,10 @@ class UploadLevelModule:
         return {
             "parts": [
                 {
-                    "context": "<this attribute is optional you may exclude it if not required>",
+                    "text": {
+                        "content": "<this attribute is mandatory if there is a text passage else this 'text' field is omitted>",
+                        "title": "<this attribute is optional you may exclude it if not required>",
+                    },
                     "exercises": [
                         self._multiple_choice_html(),
                         self._passage_blank_space_html()
@@ -86,7 +89,7 @@ class UploadLevelModule:
             "role": "system",
             "content": (
                 'You are GPT Scraper and your job is to clean dirty html into clean usable JSON formatted data.'
-                'Your current task is to scrape html english questions sheets.\n\n'
+                'Your current task is to scrape html english questions sheets and structure them into parts NOT sections.\n\n'
 
                 'In the question sheet you will only see 4 types of question:\n'
                 '- blank space multiple choice\n'
@@ -111,23 +114,24 @@ class UploadLevelModule:
                 'out the best paragraph separation possible.'
 
                 'You will place all the information in a single JSON: '
-                '{"parts": [{"exercises": [{...}], "context": ""}]}\n '
+                '{"parts": [{"exercises": [{...}], "text": {"title": "", "content": ""} ]}\n '
                 'Where {...} are the exercises templates for each part of a question sheet and the optional field '
-                'context.'
+                'text, which contains the reading passages that are required in order to solve the part questions, '
-
+                '(if there are passages) place them in text.content and if there is a title place it in text.title '
-                'IMPORTANT: The question sheet may be divided by sections but you need to only consider the parts, '
+                'else omit the title field.\n'
-                'so that you can group the exercises by the parts that are in the html, this is crucial since only '
+                
-                'reading passage multiple choice require context and if the context is included in parts where it '
+                'IMPORTANT: As stated earlier your job is to structure the questions into PARTS not SECTION, this means '
-                'is not required the UI will be messed up. Some make sure to correctly group the exercises by parts.\n'
+                'that if there is for example: Section 1, Part 1 and Part 2, Section 2, Part 1 and Part 2, you MUST '
+                'place in the parts array 4 parts NOT 2 parts with the exercises of both parts! You must strictly '
+                'adhere to this instruction, do not mistake sections for parts!\n'
 
                 'The templates for the exercises are the following:\n'
                 '- blank space multiple choice, underline multiple choice and reading passage multiple choice: '
                 f'{self._multiple_choice_html()}\n'
                 f'- reading passage blank space multiple choice: {self._passage_blank_space_html()}\n'
 
-                'IMPORTANT: For the reading passage multiple choice the context field must be set with the reading '
+                'IMPORTANT: The text.content field must be set with the reading passages of a part (if there is one)'
-                'passages without paragraphs or line numbers, with 2 newlines between paragraphs, for the other '
+                'without paragraphs or line numbers, with 2 newlines between paragraphs.'
-                'exercises exclude the context field.'
             )
         }
 
@@ -135,30 +139,19 @@ class UploadLevelModule:
     def _multiple_choice_html():
         return {
             "type": "multipleChoice",
-            "prompt": "Select the appropriate option.",
+            "prompt": "<general instructions for this section>",
             "questions": [
                 {
-                    "id": "<the question id>",
+                    "id": "<question number as string>",
-                    "prompt": "<the question>",
+                    "prompt": "<question text>",
-                    "solution": "<the option id solution>",
                     "options": [
                         {
-                            "id": "A",
+                            "id": "<A/B/C/D>",
-                            "text": "<the a option>"
+                            "text": "<option text>"
-                        },
-                        {
-                            "id": "B",
-                            "text": "<the b option>"
-                        },
-                        {
-                            "id": "C",
-                            "text": "<the c option>"
-                        },
-                        {
-                            "id": "D",
-                            "text": "<the d option>"
                         }
-                    ]
+                    ],
+                    "solution": "<correct option letter>",
+                    "variant": "text"
                 }
             ]
         }