Move to port 8080 and accept quiz results.

docker-compose.yaml

@@ -5,7 +5,7 @@ services:
     container_name: marcel_knowhow_backend
     image: marcel_knowhow_backend
     ports:
-      - 8080:8000
+      - 8080:8080
     environment:
       - MARCEL_DB_URI=bolt://marcel_knowhow_db:7687
     restart: unless-stopped 

src/jni_item_provider.py

@@ -1,4 +1,4 @@
-from jni_item import Item
+from jni_types import Item
 from jni_neo_bridge import NeoBridge
 
 

src/jni_neo_bridge.py

@@ -1,7 +1,7 @@
 import os
 
 from neo4j import GraphDatabase, Driver
-from jni_item import Item
+from jni_types import Item
 
 NEO_URI_ENV_NAME = "MARCEL_DB_URI"
 NEO_USERNAME = "neo4j"
@@ -49,7 +49,7 @@ def _read_items(self) -> list[Item]:
 				id = record['q.id']
 				question = record['q.question']
 				yes_answer = record['q.yes_answer']
-				item = Item(id, question, yes_answer)
+				item = Item(id=id, question=question, yes_answer=yes_answer)
 				items.append(item)
 		return items
 

src/jni_types.py

@@ -0,0 +1,12 @@
+from pydantic import BaseModel
+
+
+class Item(BaseModel):
+    id: int
+    question: str
+    yes_answer: bool
+
+
+class ResultsServerRequest(BaseModel):
+    questions: list[Item]
+    answers: list[bool]

src/main.py

@@ -2,6 +2,7 @@
 from fastapi.middleware.cors import CORSMiddleware
 import uvicorn
 from jni_item_provider import ItemProvider
+from jni_types import ResultsServerRequest
 
 
 app = FastAPI()
@@ -37,13 +38,20 @@ async def read_items():
 
 
 @app.post("/quizz_results")
-async def create_quizz_results():
-    # TODO Create a quizz results class
-    # json_content = message.content.strip()
-    # dict = json.loads(json_content)
-    # selected_option = dict["selected_option"]
-    pass
+async def create_quizz_results(request: ResultsServerRequest):
+    questions = request.questions
+    answers = request.answers
+
+    # Count the number of correct answers.
+    correct_answers = 0
+    for i in range(len(questions)):
+        if questions[i].yes_answer == answers[i]:
+            correct_answers += 1
+
+    # Compute and return the ratio of correct answers.
+    correctness_ratio = correct_answers / len(questions)
+    return {"ratio": correctness_ratio}
 
 
 if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=8000)
+    uvicorn.run(app, host="0.0.0.0", port=8080)