add working assistant

.vscode/launch.json

@@ -5,14 +5,12 @@
   "version": "0.2.0",
   "configurations": [
     {
-      "name": "Python Debugger: Flask",
+      "name": "Python: Debug Atlas server ",
       "type": "debugpy",
       "request": "launch",
-      "module": "flask",
-      "env": { "FLASK_APP": "server/api.py", "FLASK_DEBUG": "1" },
-      "args": ["run", "--no-debugger", "--no-reload", "--port", "8000"],
-      "jinja": true,
-      "autoStartBrowser": false
+      "program": "${workspaceFolder}/server/api.py",
+      "console": "integratedTerminal",
+      "args": ["--port", "8000", "--dev", "true"]
     }
   ]
 }

Dockerfile

@@ -17,7 +17,6 @@ RUN mkdir ./api
 COPY server ./api
 RUN pip install --upgrade pip
 RUN pip install -r ./api/requirements.txt
-RUN pip install gunicorn eventlet
 ENV FLASK_ENV production
 
 EXPOSE 80

client/src/pages/Login/Galaxy.tsx

@@ -20,7 +20,7 @@ const Galaxy = ({ loggingIn }: { loggingIn?: boolean }) => {
 
   useEffect(() => {
     const starDensity = 0.216
-    const speedCoeff = 0.05
+    const speedCoeff = 0.03
     const giantColor = '180,184,240'
     const starColor = '226,225,142'
     const cometColor = '226,225,224'

client/src/pages/Login/stars-render.ts

@@ -23,8 +23,8 @@ export class Star {
 
   reset() {
     const { getRandInterval, getProbability } = this.constructor as typeof Star
-    this.giant = getProbability(3)
-    this.comet = this.giant || this.first ? false : getProbability(10)
+    this.giant = getProbability(5)
+    this.comet = this.giant || this.first ? false : getProbability(3)
     this.x = getRandInterval(0, this.width - 10)
     this.y = getRandInterval(0, this.height)
     this.r = getRandInterval(1.1, 2.6)
@@ -67,10 +67,10 @@ export class Star {
 
     if (this.giant) {
       universe.fillStyle = `rgba(${this.colors.giantColor},${this.opacity})`
-      universe.arc(this.x, this.y, 2, 0, 2 * Math.PI, false)
+      universe.arc(this.x, this.y, 3, 0, 2 * Math.PI, false)
     } else if (this.comet) {
       universe.fillStyle = `rgba(${this.colors.cometColor},${this.opacity})`
-      universe.arc(this.x, this.y, 1.5, 0, 2 * Math.PI, false)
+      universe.arc(this.x, this.y, 2.5, 0, 2 * Math.PI, false)
 
       for (let i = 0; i < 30; i++) {
         universe.fillStyle = `rgba(${this.colors.cometColor},${this.opacity - (this.opacity / 20) * i})`

server/api.py

@@ -4,7 +4,6 @@
 import os
 from sanic import Sanic, response
 from sanic.request import Request
-from sanic_jwt import Initialize
 from sanic_cors import CORS
 import socketio
 from config.app_config import AppConfig
@@ -32,27 +31,6 @@ async def attach_db(_app, _loop):
     await init_db()
 
 
-# Define JWT authentication
-async def authenticate(request):
-    """
-    Authenticate the user.
-    """
-    email = request.json.get("email", None)
-    print(email)
-    if email:
-        user = await login_user(email)
-        return user
-    return None
-
-
-Initialize(app, authenticate=authenticate)
-
-# # Define API resources
-# app.add_route(GetFeatures.as_view(), "/api/features")
-# app.add_route(RunAssistant.as_view(), "/api/run_assistant")
-
-
-# TODO: add login rate limiter
 @app.route("/api/login", methods=["POST"])
 async def login(request: Request):
     """
@@ -82,7 +60,7 @@ async def run_assistant_endpoint(request: Request):
     Handles the POST request for running the assistant.
     """
     if request.method == "POST":
-        file = request.form.get("file")
+        file = request.files.get("file")
         sid = request.form.get("sid")
         return await run_assistant(sid=sid, file=file, sio=sio)
 
@@ -136,11 +114,11 @@ def parse_args():
         "-p", "--port", help="Port for the server.", type=int, default=80
     )
     parser.add_argument(
-        "-d", "--debug", help="Debug mode on or off.", type=bool, default=False
+        "-d", "--dev", help="Dev mode on or off.", type=bool, default=False
     )
     return parser.parse_args()
 
 
 if __name__ == "__main__":
     args = parse_args()
-    app.run(host="0.0.0.0", port=args.port, debug=args.debug)
+    app.run(host="0.0.0.0", port=args.port, dev=args.dev)

server/assistant.py

@@ -8,6 +8,8 @@
 from typing import Dict, List, Union
 from openai import OpenAI
 from dotenv import load_dotenv
+from sanic.request.form import File
+import socketio
 
 load_dotenv()
 
@@ -221,7 +223,7 @@ def build_feature_functions(
     return experiments_function_call
 
 
-def upload_file_to_vector_store(client: OpenAI, file_path: str) -> str:
+def upload_file_to_vector_store(client: OpenAI, file: File, sid: str) -> str:
     """
     Uploads a file to the vector store.
 
@@ -232,6 +234,12 @@ def upload_file_to_vector_store(client: OpenAI, file_path: str) -> str:
     - URL to the uploaded file.
     """
 
+    file_path = f"paper/{sid}{file.name}"
+
+    with open(file_path, "wb") as f:
+        f.write(file.body)
+    f.close()
+
     file_info = client.files.create(file=open(file_path, "rb"), purpose="assistants")
 
     now = datetime.now()
@@ -311,44 +319,44 @@ def create_temporary_assistant(client: OpenAI):
     return my_temporary_assistant
 
 
-def call_asssistant_api(file_path: str, sid: str, sio):
+async def call_asssistant_api(file: File, sid: str, sio: socketio.AsyncServer):
 
     client = OpenAI()
 
     try:
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Fetching all features...", "progress": 0},
             to=sid,
             namespace="/home",
         )
         feature_list = get_all_features()
 
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Building feature functions...", "progress": 5},
             to=sid,
             namespace="/home",
         )
         functions = build_feature_functions(feature_list)
 
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Uploading file to vector store...", "progress": 10},
             to=sid,
             namespace="/home",
         )
-        vector_store = upload_file_to_vector_store(client, file_path)
+        vector_store = upload_file_to_vector_store(client=client, file=file, sid=sid)
 
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Creating an assistant for your task...", "progress": 12},
             to=sid,
             namespace="/home",
         )
         my_temporary_assistant = create_temporary_assistant(client)
 
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Updating assistant...", "progress": 15},
             to=sid,
@@ -358,7 +366,7 @@ def call_asssistant_api(file_path: str, sid: str, sio):
             client, my_temporary_assistant.id, vector_store, functions
         )
 
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Creating thread message...", "progress": 30},
             to=sid,
@@ -368,12 +376,12 @@ def call_asssistant_api(file_path: str, sid: str, sio):
             messages=[
                 {
                     "role": "user",
-                    "content": "define_experiments_conditions_and_behaviors",
+                    "content": "run function define_experiments_conditions_and_behaviors",
                 }
             ],
         )
 
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Running assistant...", "progress": 40},
             to=sid,
@@ -384,7 +392,7 @@ def call_asssistant_api(file_path: str, sid: str, sio):
             thread_id=thread_message.id, assistant_id=updated_assistant.id
         )
 
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Getting tool outputs...", "progress": 50},
             to=sid,
@@ -395,7 +403,7 @@ def call_asssistant_api(file_path: str, sid: str, sio):
             run.required_action.submit_tool_outputs.tool_calls[0].function.arguments
         )
 
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Checking output format...", "progress": 60},
             to=sid,
@@ -413,7 +421,7 @@ def call_asssistant_api(file_path: str, sid: str, sio):
         print(e)
         raise AssistantException("Assistant run failed") from e
     finally:
-        sio.emit(
+        await sio.emit(
             "status",
             {"status": "Cleaning up resources...", "progress": 70},
             to=sid,

server/config/app_config.py

@@ -21,7 +21,9 @@ class AppConfig(Config):
         JWT_EXP_DELTA_SECONDS (int): The expiration time for JWT tokens in seconds.
     """
 
-    BASE_URL = os.getenv("BASE_URL")
+    BASE_URL = os.getenv(
+        "FLASK_ENV" == "development" and "BASE_URL_DEV" or "BASE_URL_PROD"
+    )
     SECRET = os.getenv("SOCKET_SECRET")
     JWT_SECRET = os.getenv("JWT_SECRET")
     JWT_ALGORITHM = "HS256"

server/controllers/assisstant.py

@@ -4,9 +4,9 @@
 
 import os
 from sanic import json as json_response
+from sanic.request.form import File
 import socketio
 
-
 from assistant import AssistantException, call_asssistant_api
 
 
@@ -16,41 +16,30 @@
     os.makedirs(UPLOAD_DIRECTORY)
 
 
-def run_assistant(sid, file, sio: socketio.AsyncServer):
+async def run_assistant(sid: str, file: File, sio: socketio.AsyncServer):
     """
     Run the assistant with the uploaded file
     """
+
+    print("Running assistant", sid, file.name)
     if file:
-        file_path = os.path.join(UPLOAD_DIRECTORY, file.filename)
-        file.save(file_path)
         try:
-            result = call_asssistant_api(file_path, sid, sio)
-
-            # print("result : ", json.dumps(result))
-            sio.emit(
-                "status",
-                {"status": "Fetching all features...", "progress": 0},
-                to=sid,
-            )
+            result = await call_asssistant_api(file=file, sid=sid, sio=sio)
 
             response_data = {
                 "message": "File successfully uploaded",
-                "file_name": file.filename,
+                "file_name": file.name,
                 "experiments": result["experiments"],
             }
 
-            # Delete the uploaded
-            if os.path.isfile(file_path):
-                os.remove(file_path)
+            if os.path.isfile(f"paper/{sid}{file.name}"):
+                os.remove(f"paper/{sid}{file.name}")
                 print("File removed from local storage successfully")
             else:
                 # If it fails, inform the user.
-                print(f"Error: {file_path} file not found")
+                print(f"Error: {f"paper/{sid}{file.name}"} file not found")
 
             return json_response(body=response_data, status=200)
         except AssistantException as e:
             response_data = {"error": str(e)}
             return json_response(body=response_data, status=500)
-    else:
-        response_data = {"error": "File upload failed"}
-        return json_response(body=response_data, status=400)