completed this shit

app.py

@@ -247,35 +247,35 @@ Parameters:
         loop = asyncio.new_event_loop()
         asyncio.set_event_loop(loop)
     
-    # Create the Gemini client after the event loop is set up
-    client = genai.Client(api_key=GEMINI_API_KEY)
-    
-    response = client.models.generate_content(
-        model="gemini-2.0-flash", 
-        contents=f"""
-        please respond with a JSON object that contains the following keys as a response:
-        - "coursename": the name of the recommended course,
-        - "completiontime": an estimate of how long it would take to complete the course.
-        Do not include any extra text.
-        Recommend a course using this information below :
-        Which of the following best describes you?: {request.employmentStatus}
-        Would you like to prepare for an interim role to gain experience and income while pursuing your dream job?: {request.interimRole}
-        What is your desired role?: {request.dreamRole}
-        Why do you want to achieve this desired role?: {request.motivation}
-        How do you prefer to learn new skills?: {request.learningPreference}
-        How many hours per day can you dedicate to learning?: {request.timeCommitmentPerDay}
-        What are the biggest challenges or obstacles you face in reaching your dream role?: {request.challenges}
-        What is your ideal timeframe for achieving your dream role?: {request.timeframeToAchieveDreamRole}
+    # # Create the Gemini client after the event loop is set up
+    # client = genai.Client(api_key=GEMINI_API_KEY)
+    
+    # response = client.models.generate_content(
+    #     model="gemini-2.0-flash", 
+    #     contents=f"""
+    #     please respond with a JSON object that contains the following keys as a response:
+    #     - "coursename": the name of the recommended course,
+    #     - "completiontime": an estimate of how long it would take to complete the course.
+    #     Do not include any extra text.
+    #     Recommend a course using this information below :
+    #     Which of the following best describes you?: {request.employmentStatus}
+    #     Would you like to prepare for an interim role to gain experience and income while pursuing your dream job?: {request.interimRole}
+    #     What is your desired role?: {request.dreamRole}
+    #     Why do you want to achieve this desired role?: {request.motivation}
+    #     How do you prefer to learn new skills?: {request.learningPreference}
+    #     How many hours per day can you dedicate to learning?: {request.timeCommitmentPerDay}
+    #     What are the biggest challenges or obstacles you face in reaching your dream role?: {request.challenges}
+    #     What is your ideal timeframe for achieving your dream role?: {request.timeframeToAchieveDreamRole}
         
     
-        """
-    )
+    #     """
+    # )
     questions=request.model_dump()
     questions['userId']=decoded_user_id
     create_questionaire(db_uri=MONGO_URI,db_name="crayonics",collection_name="Questionaire",document=questions)
-    course_info = extract_course_info(response.text)
-    courses = get_course_func(query=course_info.courseName)
-    return {"courseInfo":course_info,"courses":courses}
+    # course_info = extract_course_info(response.text)
+    # courses = get_course_func(query=course_info.courseName)
+    return {"courseInfo":"course_info","courses":"courses"}
 
 
 

utils.py

@@ -171,9 +171,11 @@ def create_questionaire(db_uri: str, db_name: str, collection_name: str, documen
     
     # Insert the document
     
-    result= collection.find_one_and_replace(filter={"user_id":document.get("user_id")},replacement=document)
-    if result:
+    result= collection.find_one_and_replace(filter={"userId":document.get("userId")},replacement=document)
+    print(result)
+    if result==None:
         result = collection.insert_one(document)
+        print(result)
         return str(result.inserted_id)
     
     client.close()