fix(docker): temp - use hard code path for middleware to read from ot…

README.md

@@ -48,8 +48,7 @@ PandaETL is an open-source, no-code ETL (Extract, Transform, Load) tool designed
 3. Create a `.env` file in the frontend directory with the following:
 
    ```bash
-   NEXT_PUBLIC_API_URL=http://localhost:3000/api/v1
-   NEXT_PUBLIC_STORAGE_URL=http://localhost:3000/api/assets
+   NEXT_PUBLIC_API_URL=http://localhost:5328
    ```
 
    or copy the `.env.example` file to `.env`

backend/.env.example

@@ -3,5 +3,6 @@ PANDAETL_SERVER_URL="https://api.panda-etl.ai/" # optional
 API_SERVER_URL="https://api.domer.ai" # optional
 USE_OPENAI_EMBEDDINGS=false # optional
 OPENAI_API_KEY=sk-xxxxxxxxxxxx # optional
-CHROMA_BATCH_SIZE=5 # optional
+CHROMA_BATCH_SIZE=500 # optional
 MAX_FILE_SIZE=20971520 # optional
+PANDAETL_API_KEY=xxx-xxx-xxx-xxx # optional if you already have a PandaETL api key

backend/Dockerfile

@@ -2,11 +2,6 @@ FROM python:3.11-slim
 
 WORKDIR /app
 
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
-
 # Install Poetry
 RUN pip install poetry
 
@@ -19,9 +14,6 @@ RUN poetry config virtualenvs.create false
 # Install dependencies
 RUN poetry install
 
-# run migrations
-RUN make migrate
-
 # Expose the port the app runs on
 EXPOSE 8000
 

backend/app/config.py

@@ -1,6 +1,7 @@
 import os
 from dotenv import load_dotenv
 from pydantic_settings import BaseSettings
+from typing import Optional
 
 # Load environment variables from .env file
 load_dotenv()
@@ -30,6 +31,9 @@ class Settings(BaseSettings):
     chat_extraction_doc_threshold: float = 0.5
     chat_extraction_max_docs: int = 50
 
+    # PandaETL api key
+    pandaetl_api_key: Optional[str] = None
+
     class Config:
         env_file = ".env"
 

backend/app/main.py

@@ -1,13 +1,14 @@
 from app import models
 from app.processing.process_queue import submit_process
-from app.repositories import process_repository, project_repository
+from app.repositories import process_repository, project_repository, user_repository
 from fastapi import FastAPI
 from fastapi.staticfiles import StaticFiles
 from .database import SessionLocal
 from fastapi.middleware.cors import CORSMiddleware
 from app.processing.file_preprocessing import process_file
 from .config import settings
 from .api import v1_router
+from app.schemas.user import APIKeyRequest
 
 # Initialize the FastAPI app
 app = FastAPI()
@@ -57,6 +58,26 @@ def startup_pending_processes():
         print(f"Error in startup_pending_processes: {e}")
 
 
+def setup_user():
+    try:
+        with SessionLocal() as db:
+
+            if settings.pandaetl_api_key:
+                user = user_repository.get_users(db, n=1)
+                api_key = user_repository.get_user_api_key(db)
+
+                if not user:
+                    user = user_repository.create_user(db, APIKeyRequest(email="[email protected]"))
+
+                if not api_key:
+                    user_repository.add_user_api_key(db, user.id, settings.pandaetl_api_key)
+
+                print("Successfully set up user from api key")
+
+    except Exception as e:
+        print(f"Error in setup user from api key: {e}")
+
+
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],  # Allow all origins (for development)
@@ -69,6 +90,6 @@ def startup_pending_processes():
 
 app.include_router(v1_router, prefix="/v1")
 
-
+setup_user()
 startup_pending_processes()
 startup_file_preprocessing()

backend/app/processing/file_preprocessing.py

@@ -44,7 +44,7 @@ def process_segmentation(project_id: int, asset_id: int, asset_file_name: str):
         vectorstore.add_docs(
             docs=docs,
             metadatas=metadatas,
-            batch_size=100
+            batch_size=settings.chroma_batch_size
         )
 
         project_repository.update_asset_content_status(

backend/app/processing/process_queue.py

@@ -406,4 +406,4 @@ def vectorize_extraction_process_step(project_id: int, process_step_id: int, fil
     ]
 
     # Add documents to vectorstore
-    vectorstore.add_docs(docs=docs, metadatas=metadatas, batch_size=100)
+    vectorstore.add_docs(docs=docs, metadatas=metadatas, batch_size=settings.chroma_batch_size)

backend/tests/processing/test_process_queue.py

@@ -216,7 +216,7 @@ def test_vectorize_extraction_process_step_single_reference(mock_chroma_db):
     mock_vectorstore.add_docs.assert_called_once_with(
         docs=expected_docs,
         metadatas=expected_metadatas,
-        batch_size=100
+        batch_size=5
     )
 
 @patch('app.processing.process_queue.ChromaDB')
@@ -263,7 +263,7 @@ def test_vectorize_extraction_process_step_multiple_references_concatenation(moc
     mock_vectorstore.add_docs.assert_called_once_with(
         docs=expected_docs,
         metadatas=expected_metadatas,
-        batch_size=100
+        batch_size=5
     )
 
 @patch('app.processing.process_queue.ChromaDB')  # Replace with the correct module path

frontend/.env.example

@@ -1,4 +1,4 @@
-NEXT_PUBLIC_API_URL=http://localhost:3000/api/v1
-NEXT_PUBLIC_STORAGE_URL=http://localhost:3000/api/assets
+NEXT_PUBLIC_API_URL=http://localhost:5328
 NEXT_PUBLIC_MIXPANEL_TOKEN=f2e8a71ab2bde33ebf346c5abf6ba9fa
 NEXT_PUBLIC_ROLLBAR_ACCESS_TOKEN=0df0bee895044430880278e2b2a5b2d2
+# NEXT_PUBLIC_BACKEND_URL=http://backend:5328 # Uncomment this if you're working with a docker setup

frontend/next.config.mjs

@@ -1,17 +1,5 @@
 const nextConfig = {
   swcMinify: false, // TODO - track and remove this later: https://github.com/wojtekmaj/react-pdf/issues/1822
-  async rewrites() {
-    return [
-      // {
-      //   source: "/api/:path*",
-      //   destination: "http://localhost:5328/:path*",
-      // },
-      {
-        source: "/assets/:path*",
-        destination: "http://localhost:5328/assets/:path*",
-      },
-    ];
-  },
 };
 
 export default nextConfig;

frontend/src/constants.ts

@@ -1,3 +1,3 @@
-export const BASE_API_URL = process.env.NEXT_PUBLIC_API_URL;
-export const BASE_STORAGE_URL = process.env.NEXT_PUBLIC_STORAGE_URL;
+export const BASE_API_URL = `${process.env.NEXT_PUBLIC_API_URL}/v1`;
+export const BASE_STORAGE_URL = `${process.env.NEXT_PUBLIC_API_URL}/assets`;
 export const MAX_FILE_SIZE = 20 * 1024 * 1024; // 20MB in bytes

frontend/src/middleware.ts

@@ -1,12 +1,24 @@
 import { NextResponse } from "next/server";
 import type { NextRequest } from "next/server";
-import { GetAPIKey } from "@/services/user";
 import localStorage from "@/lib/localStorage";
+import { APIKeyData } from "./interfaces/user";
+import axios from "axios";
+import { GetAPIKey } from "./services/user";
 
 export async function middleware(request: NextRequest) {
   let apiKey = null;
   try {
-    apiKey = await GetAPIKey();
+    const dockerBackendUrl = process.env.NEXT_PUBLIC_BACKEND_URL;
+
+    if (dockerBackendUrl) {
+      console.log(dockerBackendUrl);
+      const response = await axios.get<{ data: APIKeyData }>(
+        `${dockerBackendUrl}/v1/user/get-api-key`
+      );
+      apiKey = { data: { api_key: response.data.data.key } };
+    } else {
+      apiKey = await GetAPIKey();
+    }
   } catch (error) {
     console.error("Error fetching API key:", error);
     return NextResponse.redirect(new URL("/api-key-setup", request.url));