chore: chatbot,home auth endpoints

src/chatbot/embedding.py

@@ -9,11 +9,8 @@ MODEL_ID = "onnx-community/embeddinggemma-300m-ONNX"
 
 class EmbeddingModel:
     def __init__(self):
-        print("Loading tokenizer…")
         self.tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
 
-        print("Downloading ONNX model files…")
-
         self.model_path = hf_hub_download(
             repo_id=MODEL_ID,
             filename="onnx/model.onnx"
@@ -25,7 +22,6 @@ class EmbeddingModel:
 
         model_dir = os.path.dirname(self.model_path)
 
-        print("Creating inference session…")
         self.session = ort.InferenceSession(
             self.model_path,
             providers=["CPUExecutionProvider"],

src/chatbot/router.py

@@ -2,11 +2,13 @@ import os
 import shutil
 import tempfile
 from typing import Optional
+from uuid import UUID
 
 from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile
 from sqlalchemy import text
 from sqlmodel.ext.asyncio.session import AsyncSession
 
+from src.auth.utils import get_current_user
 from src.core.database import get_async_session
 from .schemas import ManualTextRequest
 from .service import store_manual_text
@@ -23,7 +25,7 @@ from .service import process_pdf_and_store
 router = APIRouter(prefix="/chatbot", tags=["chatbot"])
 
 @router.post("/tokenize", response_model=TokenizeResponse)
-async def tokenize_text(payload: TokenizeRequest):
+async def tokenize_text(payload: TokenizeRequest,user_id: UUID = Depends(get_current_user)):
     try:
         encoded = embedding_model.tokenizer(
             payload.text,
@@ -44,7 +46,7 @@ async def tokenize_text(payload: TokenizeRequest):
 
 @router.post("/semantic-search", response_model=list[SemanticSearchResult])
 async def semantic_search(
-    payload: SemanticSearchRequest, session: AsyncSession = Depends(get_async_session)
+    payload: SemanticSearchRequest, session: AsyncSession = Depends(get_async_session), user_id: UUID = Depends(get_current_user)
 ):
 
     if len(payload.embedding) == 0:

src/home/router.py

@@ -26,7 +26,8 @@ async def fetch_home_data(
 
 @router.post("/emotion", response_model=BaseResponse[EmotionLogResponse])
 async def create_or_update_emotion(
-    data: EmotionLogCreate, session: AsyncSession = Depends(get_async_session)
+    data: EmotionLogCreate, session: AsyncSession = Depends(get_async_session),
+    user_id: str = Depends(get_current_user),
 ):
     record = await add_or_update_emotion(data, session)
     return {