It is working

Author: SplinterSword

backend/Dockerfile

@@ -0,0 +1,44 @@
+FROM python:3.13-alpine AS builder
+
+# Install build dependencies only in builder
+RUN apk add --no-cache \
+    build-base \
+    libffi-dev \
+    musl-dev \
+    gcc \
+    python3-dev \
+    linux-headers
+
+WORKDIR /app
+
+COPY requirements.txt .
+
+# Install dependencies in a virtual environment
+RUN python -m venv /opt/venv && \
+    /opt/venv/bin/pip install --no-cache-dir --upgrade pip && \
+    /opt/venv/bin/pip install --no-cache-dir -r requirements.txt
+
+# ---- Final image ----
+FROM python:3.13-alpine
+
+# Install runtime dependencies only (no build tools)
+RUN apk add --no-cache libffi
+
+# Create user
+RUN adduser -D myuser
+
+WORKDIR /app
+
+COPY --from=builder /opt/venv /opt/venv
+COPY . .
+
+# Set permissions
+RUN chown -R myuser:myuser /app
+
+USER myuser
+
+ENV PATH="/opt/venv/bin:$PATH"
+
+EXPOSE 8080
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8080"]

backend/Pipfile

@@ -4,10 +4,7 @@ verify_ssl = true
 name = "pypi"
 
 [packages]
-fastapi = "*"
 uvicore = "*"
-pydantic = "*"
-uvicorn = "*"
 google-adk = "*"
 
 [dev-packages]

backend/Pipfile.lock

@@ -0,0 +1,19 @@
+import os
+
+import uvicorn
+from google.adk.cli.fast_api import get_fast_api_app
+
+
+AGENT_DIR = os.path.dirname(os.path.abspath(__file__))
+ALLOWED_ORIGINS = ["http://localhost", "http://localhost:8080", "*"]
+SERVE_WEB_INTERFACE = True
+
+app = get_fast_api_app(
+    agents_dir=AGENT_DIR,
+    allow_origins=ALLOWED_ORIGINS,
+    web=SERVE_WEB_INTERFACE,
+)
+
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=int(os.environ.get("PORT", 8080)))

backend/main.py

@@ -2,15 +2,15 @@
 aiohttp==3.7.4.post0; python_version >= '3.6'
 aioredis==1.3.1
 annotated-types==0.7.0; python_version >= '3.8'
-anyio==4.9.0; python_version >= '3.9'
+anyio==4.9.0; python_version >= '3.10'
 argon2-cffi==20.1.0; python_version >= '3.7'
 async-timeout==3.0.1; python_full_version >= '3.5.3'
 asyncclick==7.1.2.3
 attrs==25.3.0; python_version >= '3.8'
 authlib==1.6.0; python_version >= '3.9'
 cachetools==5.5.2; python_version >= '3.7'
 certifi==2025.6.15; python_version >= '3.7'
-cffi==1.17.1; platform_python_implementation != 'PyPy'
+cffi==1.17.1; python_version >= '3.8'
 chardet==4.0.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'
 charset-normalizer==3.4.2; python_version >= '3.7'
 click==8.2.1; python_version >= '3.10'
@@ -21,12 +21,12 @@ cryptography==3.4.8; python_version >= '3.6'
 docstring-parser==0.16; python_version >= '3.6' and python_version < '4.0'
 environs==9.3.5; python_version >= '3.6'
 fastapi==0.115.13; python_version >= '3.8'
-google-adk==1.3.0; python_version >= '3.9'
+google-adk==1.4.2; python_version >= '3.9'
 google-api-core[grpc]==2.25.1; python_version >= '3.7'
-google-api-python-client==2.172.0; python_version >= '3.7'
+google-api-python-client==2.173.0; python_version >= '3.7'
 google-auth==2.40.3; python_version >= '3.7'
 google-auth-httplib2==0.2.0
-google-cloud-aiplatform[agent-engines]==1.97.0; python_version >= '3.9'
+google-cloud-aiplatform[agent-engines]==1.98.0; python_version >= '3.9'
 google-cloud-appengine-logging==1.6.2; python_version >= '3.7'
 google-cloud-audit-log==0.3.2; python_version >= '3.7'
 google-cloud-bigquery==3.34.0; python_version >= '3.9'
@@ -38,7 +38,7 @@ google-cloud-speech==2.33.0; python_version >= '3.7'
 google-cloud-storage==2.19.0; python_version >= '3.7'
 google-cloud-trace==1.16.2
 google-crc32c==1.7.1; python_version >= '3.9'
-google-genai==1.20.0; python_version >= '3.9'
+google-genai==1.21.1; python_version >= '3.9'
 google-resumable-media==2.7.2; python_version >= '3.7'
 googleapis-common-protos[grpc]==1.70.0; python_version >= '3.7'
 graphviz==0.21; python_version >= '3.9'
@@ -57,7 +57,7 @@ importlib-metadata==8.7.0; python_version >= '3.9'
 marshmallow==4.0.0; python_version >= '3.9'
 mcp==1.9.4; python_version >= '3.10'
 multidict==6.5.0; python_version >= '3.9'
-numpy==2.3.0; python_version >= '3.11'
+numpy==2.3.1; python_version >= '3.11'
 opentelemetry-api==1.34.1; python_version >= '3.9'
 opentelemetry-exporter-gcp-trace==1.9.0; python_version >= '3.7'
 opentelemetry-resourcedetector-gcp==1.9.0a0; python_version >= '3.7'
@@ -73,8 +73,8 @@ pyasn1-modules==0.4.2; python_version >= '3.8'
 pycparser==2.22; python_version >= '3.8'
 pydantic==2.11.7; python_version >= '3.9'
 pydantic-core==2.33.2; python_version >= '3.9'
-pydantic-settings==2.9.1; python_version >= '3.9'
-pygments==2.19.1; python_version >= '3.8'
+pydantic-settings==2.10.0; python_version >= '3.9'
+pygments==2.19.2; python_version >= '3.8'
 pyparsing==3.2.3; python_version >= '3.1'
 python-dateutil==2.9.0.post0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'
 python-dotenv==1.1.0; python_version >= '3.9'
@@ -88,11 +88,12 @@ sniffio==1.3.1; python_version >= '3.7'
 sqlalchemy==2.0.41; python_version >= '3.7'
 sse-starlette==2.3.6; python_version >= '3.9'
 starlette==0.46.2; python_version >= '3.9'
+tenacity==8.5.0; python_version >= '3.8'
 typing-extensions==4.14.0; python_version >= '3.9'
 typing-inspection==0.4.1; python_version >= '3.9'
 tzlocal==5.3.1; python_version >= '3.9'
 uritemplate==4.2.0; python_version >= '3.9'
-urllib3==2.4.0; python_version >= '3.9'
+urllib3==2.5.0; python_version >= '3.9'
 uvicore==0.1.14; python_version >= '3.7' and python_version < '4.0'
 uvicorn==0.34.3; python_version >= '3.9'
 websockets==15.0.1; python_version >= '3.9'

backend/requirements.txt

@@ -12,7 +12,6 @@ import {genkit} from 'genkit';
 import {googleAI} from '@genkit-ai/googleai';
 import {z} from 'genkit';
 import { extractJsonFromResponse } from './flow_utils';
-import { useAuth } from '@/contexts/AuthContext';
 
 const ai = genkit({
   plugins: [googleAI()],
@@ -33,15 +32,12 @@ const GenerateFlashcardsOutputSchema = z.object({
 });
 export type GenerateFlashcardsOutput = z.infer<typeof GenerateFlashcardsOutputSchema>;
 
-export async function generateFlashcards(input: GenerateFlashcardsInput): Promise<GenerateFlashcardsOutput> {
+export async function generateFlashcards(input: GenerateFlashcardsInput, userId: string, sessionId: string): Promise<GenerateFlashcardsOutput> {
 
   // Use ADK /run endpoint with configurable backend URL
   const ADK_URL = process.env.NEXT_PUBLIC_AGENT_API_URL || "http://localhost:8000";
+  console.log("ADK_URL: ", ADK_URL, "userId: ", userId, "sessionId: ", sessionId)
   try {
-    const { user, signOut } = useAuth();  
-    const userId = user?.email || 'u_123'; // TODO: Get from AuthContext
-    const sessionId = localStorage.getItem('sessionId') || 's_' + Math.random().toString(36).substr(2, 9);
-    
     const res = await fetch(`${ADK_URL}/run`, {
       method: "POST",
       headers: { "Content-Type": "application/json" },
@@ -58,7 +54,9 @@ export async function generateFlashcards(input: GenerateFlashcardsInput): Promis
       })
     });
     if (!res.ok) throw new Error(`Failed to generate flashcards from backend agent: ${res.status}`);
-    const data = await extractJsonFromResponse(await res.text());
+
+    const output = (await res.json())[0]?.content?.parts?.[0]?.text;
+    const data = await extractJsonFromResponse(output);
 
     // ADK returns response in data.output
     let result;

frontend/Pipfile

@@ -12,7 +12,6 @@
 import {ai} from '@/ai/genkit';
 import {z} from 'genkit';
 import { extractJsonFromResponse } from './flow_utils';
-import { useAuth } from '@/contexts/AuthContext';
 
 const GenerateQuizzesInputSchema = z.object({
   courseMaterial: z
@@ -37,16 +36,11 @@ const GenerateQuizzesOutputSchema = z.object({
 export type GenerateQuizzesOutput = z.infer<typeof GenerateQuizzesOutputSchema>;
 
 export async function generateQuizzes(
-  input: GenerateQuizzesInput
+  input: GenerateQuizzesInput, userId: string, sessionId: string
 ): Promise<GenerateQuizzesOutput> {
   // Use ADK /run endpoint with configurable backend URL
   const ADK_URL = process.env.NEXT_PUBLIC_AGENT_API_URL || "http://localhost:8000";
   try {
-    const { user, signOut } = useAuth();
-
-    const userId = user?.email || 'u_123'; // TODO: Get from AuthContext
-    const sessionId = localStorage.getItem('sessionId') || 's_' + Math.random().toString(36).substr(2, 9);
-    
     const res = await fetch(`${ADK_URL}/run`, {
       method: "POST",
       headers: { "Content-Type": "application/json" },
@@ -63,11 +57,11 @@ export async function generateQuizzes(
       })
     });
 
-    if (!res.ok) {
-      throw new Error(`Failed to generate quizzes: ${res.statusText}`);
-    }
+    if (!res.ok) throw new Error(`Failed to generate flashcards from backend agent: ${res.status}`);
+
+    const output = (await res.json())[0]?.content?.parts?.[0]?.text;
+    const data = await extractJsonFromResponse(output);
 
-    const data = await extractJsonFromResponse(await res.text());
     let result;
     try {
       result = typeof data === 'string' ? JSON.parse(data) : data;

frontend/src/ai/flows/generate-flashcards.ts

@@ -11,7 +11,6 @@
 import {ai} from '@/ai/genkit';
 import {z} from 'genkit';
 import { extractJsonFromResponse } from './flow_utils';
-import { useAuth } from '@/contexts/AuthContext';
 
 const SuggestResourcesInputSchema = z.object({
   courseContent: z
@@ -29,14 +28,10 @@ const SuggestedResourceSchema = z.object({
 const SuggestResourcesOutputSchema = z.array(SuggestedResourceSchema).describe('An array of suggested resources.');
 export type SuggestResourcesOutput = z.infer<typeof SuggestResourcesOutputSchema>;
 
-export async function suggestResources(input: SuggestResourcesInput): Promise<SuggestResourcesOutput> {
+export async function suggestResources(input: SuggestResourcesInput, userId: string, sessionId: string): Promise<SuggestResourcesOutput> {
   // Use ADK /run endpoint with configurable backend URL
   const ADK_URL = process.env.NEXT_PUBLIC_AGENT_API_URL || "http://localhost:8000";
   try {
-    const { user, signOut } = useAuth();
-    const userId = user?.email || 'u_123';
-    const sessionId = localStorage.getItem('sessionId') || 's_' + Math.random().toString(36).substr(2, 9);
-    
     const res = await fetch(`${ADK_URL}/run`, {
       method: "POST",
       headers: { "Content-Type": "application/json" },
@@ -53,11 +48,11 @@ export async function suggestResources(input: SuggestResourcesInput): Promise<Su
       })
     });
 
-    if (!res.ok) {
-      throw new Error(`Failed to suggest resources: ${res.statusText}`);
-    }
+    if (!res.ok) throw new Error(`Failed to generate flashcards from backend agent: ${res.status}`);
+
+    const output = (await res.json())[0]?.content?.parts?.[0]?.text;
+    const data = await extractJsonFromResponse(output);
 
-    const data = extractJsonFromResponse(await res.text());
     let result;
     try {
       result = typeof data === 'string' ? JSON.parse(data) : data;

frontend/src/ai/flows/generate-quizzes.ts

@@ -47,10 +47,11 @@ export default function DashboardPage() {
   ];
 
   const userID = user?.email || 'u_123';
+  localStorage.setItem('userID', userID);
   const sessionId = localStorage.getItem('sessionId') || 's_' + Math.random().toString(36).substr(2, 9);
-
+  const ADK_URL = process.env.NEXT_PUBLIC_AGENT_API_URL || "http://localhost:8000"
   const makeSession = async () => {
-    const session = await fetch('http://localhost:8000/apps/EduAssistant_Agents/users/' + userID + '/sessions/' + sessionId, {
+    const session = await fetch(`${ADK_URL}/apps/EduAssistant_Agents/users/${userID}/sessions/${sessionId}`, {
       method: 'POST',
       headers: {
         'Content-Type': 'application/json',