[WIP] [393] Make the chatbot public

frontend/src/api/apiClient.ts

@@ -3,15 +3,17 @@ import { FormValues } from "../pages/Feedback/FeedbackForm";
 import { Conversation } from "../components/Header/Chat";
 const baseURL = import.meta.env.VITE_API_BASE_URL;
 
-export const api = axios.create({
+export const publicApi = axios.create({ baseURL });
+
+export const adminApi = axios.create({
   baseURL,
   headers: {
     Authorization: `JWT ${localStorage.getItem("access")}`,
   },
 });
 
 // Request interceptor to set the Authorization header
-api.interceptors.request.use(
+adminApi.interceptors.request.use(
   (configuration) => {
     const token = localStorage.getItem("access");
     if (token) {
@@ -42,9 +44,14 @@ const handleSubmitFeedback = async (
   }
 };
 
-const handleSendDrugSummary = async (message: FormValues["message"], guid: string) => {
+const handleSendDrugSummary = async (
+  message: FormValues["message"],
+  guid: string,
+) => {
   try {
-    const endpoint = guid ? `/v1/api/embeddings/ask_embeddings?guid=${guid}` : '/v1/api/embeddings/ask_embeddings';
+    const endpoint = guid
+      ? `/v1/api/embeddings/ask_embeddings?guid=${guid}`
+      : "/v1/api/embeddings/ask_embeddings";
     const response = await api.post(endpoint, {
       message,
     });
@@ -58,7 +65,9 @@ const handleSendDrugSummary = async (message: FormValues["message"], guid: strin
 
 const handleRuleExtraction = async (guid: string) => {
   try {
-    const response = await api.get(`/v1/api/rule_extraction_openai?guid=${guid}`);
+    const response = await api.get(
+      `/v1/api/rule_extraction_openai?guid=${guid}`,
+    );
     // console.log("Rule extraction response:", JSON.stringify(response.data, null, 2));
     return response.data;
   } catch (error) {
@@ -67,7 +76,10 @@ const handleRuleExtraction = async (guid: string) => {
   }
 };
 
-const fetchRiskDataWithSources = async (medication: string, source: "include" | "diagnosis" | "diagnosis_depressed" = "include") => {
+const fetchRiskDataWithSources = async (
+  medication: string,
+  source: "include" | "diagnosis" | "diagnosis_depressed" = "include",
+) => {
   try {
     const response = await api.post(`/v1/api/riskWithSources`, {
       drug: medication,
@@ -90,7 +102,7 @@ interface StreamCallbacks {
 const handleSendDrugSummaryStream = async (
   message: string,
   guid: string,
-  callbacks: StreamCallbacks
+  callbacks: StreamCallbacks,
 ): Promise<void> => {
   const token = localStorage.getItem("access");
   const endpoint = `/v1/api/embeddings/ask_embeddings?stream=true${
@@ -165,12 +177,18 @@ const handleSendDrugSummaryStream = async (
             }
           }
         } catch (parseError) {
-          console.error("Failed to parse SSE data:", parseError, "Raw line:", line);
+          console.error(
+            "Failed to parse SSE data:",
+            parseError,
+            "Raw line:",
+            line,
+          );
         }
       }
     }
   } catch (error) {
-    const errorMessage = error instanceof Error ? error.message : "Unknown error";
+    const errorMessage =
+      error instanceof Error ? error.message : "Unknown error";
     console.error("Error in stream:", errorMessage);
     callbacks.onError?.(errorMessage);
     throw error;
@@ -186,7 +204,7 @@ const handleSendDrugSummaryStreamLegacy = async (
   return handleSendDrugSummaryStream(message, guid, {
     onContent: onChunk,
     onError: (error) => console.error("Stream error:", error),
-    onComplete: () => console.log("Stream completed")
+    onComplete: () => console.log("Stream completed"),
   });
 };
 
@@ -255,11 +273,16 @@ const deleteConversation = async (id: string) => {
 const updateConversationTitle = async (
   id: Conversation["id"],
   newTitle: Conversation["title"],
-): Promise<{status: string, title: Conversation["title"]} | {error: string}> => {
+): Promise<
+  { status: string; title: Conversation["title"] } | { error: string }
+> => {
   try {
-    const response = await api.patch(`/chatgpt/conversations/${id}/update_title/`, {
-      title: newTitle,
-    });
+    const response = await api.patch(
+      `/chatgpt/conversations/${id}/update_title/`,
+      {
+        title: newTitle,
+      },
+    );
     return response.data;
   } catch (error) {
     console.error("Error(s) during getConversation: ", error);
@@ -268,9 +291,12 @@ const updateConversationTitle = async (
 };
 
 // Assistant API functions
-const sendAssistantMessage = async (message: string, previousResponseId?: string) => {
+const sendAssistantMessage = async (
+  message: string,
+  previousResponseId?: string,
+) => {
   try {
-    const response = await api.post(`/v1/api/assistant`, {
+    const response = await publicApi.post(`/v1/api/assistant`, {
       message,
       previous_response_id: previousResponseId,
     });
@@ -294,5 +320,5 @@ export {
   handleSendDrugSummaryStream,
   handleSendDrugSummaryStreamLegacy,
   fetchRiskDataWithSources,
-  sendAssistantMessage
-};
+  sendAssistantMessage,
+};

frontend/src/services/actions/auth.tsx

@@ -170,8 +170,8 @@ export const login =
 
 export const logout = () => async (dispatch: AppDispatch) => {
   // Clear chat conversation data on logout for security
-  sessionStorage.removeItem('currentConversation');
-  
+  sessionStorage.removeItem("currentConversation");
+
   dispatch({
     type: LOGOUT,
   });
@@ -207,7 +207,7 @@ export const reset_password_confirm =
     uid: string,
     token: string,
     new_password: string,
-    re_new_password: string
+    re_new_password: string,
   ): ThunkType =>
   async (dispatch: AppDispatch) => {
     const config = {

server/api/services/embedding_services.py

@@ -1,5 +1,4 @@
-# services/embedding_services.py
-
+from django.db.models import Q
 from pgvector.django import L2Distance
 
 from .sentencetTransformer_model import TransformerModel
@@ -39,17 +38,29 @@ def get_closest_embeddings(
         - file_id: GUID of the source file
     """
 
-    #
     transformerModel = TransformerModel.get_instance().model
     embedding_message = transformerModel.encode(message_data)
-    # Start building the query based on the message's embedding
-    closest_embeddings_query = (
-        Embeddings.objects.filter(upload_file__uploaded_by=user)
-        .annotate(
-            distance=L2Distance("embedding_sentence_transformers", embedding_message)
+
+    if user and user.is_authenticated:
+        # User sees their own files + files uploaded by superusers
+        closest_embeddings_query = (
+            Embeddings.objects.filter(
+                Q(upload_file__uploaded_by=user) | Q(upload_file__uploaded_by__is_superuser=True)
+            )
+            .annotate(
+                distance=L2Distance("embedding_sentence_transformers", embedding_message)
+            )
+            .order_by("distance")
+        )
+    else:
+        # Unauthenticated users only see superuser-uploaded files
+        closest_embeddings_query = (
+            Embeddings.objects.filter(upload_file__uploaded_by__is_superuser=True)
+            .annotate(
+                distance=L2Distance("embedding_sentence_transformers", embedding_message)
+            )
+            .order_by("distance")
         )
-        .order_by("distance")
-    )
 
     # Filter by GUID if provided, otherwise filter by document name if provided
     if guid:

server/api/views/assistant/views.py

@@ -7,7 +7,7 @@
 from rest_framework.views import APIView
 from rest_framework.response import Response
 from rest_framework import status
-from rest_framework.permissions import IsAuthenticated
+from rest_framework.permissions import AllowAny
 from django.utils.decorators import method_decorator
 from django.views.decorators.csrf import csrf_exempt
 
@@ -111,7 +111,7 @@ def invoke_functions_from_response(
 
 @method_decorator(csrf_exempt, name="dispatch")
 class Assistant(APIView):
-    permission_classes = [IsAuthenticated]
+    permission_classes = [AllowAny]
 
     def post(self, request):
         try: