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MindStudio WebSocket Streaming Client — Flask API Endpoint
FIXED: Race condition — AI was answering previous message (buffer drain fix)
FIXED: Per-thread continuation tokens
FIXED: WebSocket compatibility
"""
import asyncio
import json
import httpx
import websockets
import os
import threading
from flask import Flask, request, Response, jsonify, stream_with_context
app = Flask(__name__)
# ─────────────────────────────────────────────
# CONFIGURATION
# ─────────────────────────────────────────────
ORG_ID = os.getenv("MINDSTUDIO_ORG_ID", "9235df37-94ad-47a2-92f7-bbf28ea8d4d1")
APP_ID = os.getenv("MINDSTUDIO_APP_ID", "75a42c47-67b3-4c9d-a23f-65998823d266")
INITIAL_CONTINUATION_TOKEN = os.getenv(
"MINDSTUDIO_CONTINUATION_TOKEN",
"155b2f71-9738-4260-8849-46e3eb0dd384::2b71a3fd-f4f0-4439-8163-60cd53d28218"
)
TARGET_MODEL = "claude-4-7-opus"
WS_URL = "wss://api-socket.mindstudio.ai/"
# ─────────────────────────────────────────────
# GLOBAL STATE
# ─────────────────────────────────────────────
_clients: dict = {}
_clients_lock = threading.Lock()
# ─────────────────────────────────────────────
# HELPERS
# ─────────────────────────────────────────────
def safe_get_model(debug_info: dict):
model_settings = debug_info.get("modelSettings")
if isinstance(model_settings, dict):
return model_settings.get("model")
return None
def check_ws_open(ws) -> bool:
if ws is None:
return False
try:
if hasattr(ws, 'close_code'):
return ws.close_code is None
if hasattr(ws, 'closed'):
return not ws.closed
if hasattr(ws, 'state'):
import websockets.connection
return ws.state == websockets.connection.State.OPEN
return True
except Exception:
return False
# ─────────────────────────────────────────────
# MINDSTUDIO CLIENT
# ─────────────────────────────────────────────
class MindStudioClient:
def __init__(self, access_token: str, model: str = TARGET_MODEL):
self.access_token = access_token
self.model = model
# Per-thread continuation tokens
self._continuation_tokens: dict = {}
self._tokens_lock = threading.Lock()
self.ws = None
self.loop = asyncio.new_event_loop()
self._thread = threading.Thread(target=self._run_loop, daemon=True)
self._thread.start()
def _run_loop(self):
asyncio.set_event_loop(self.loop)
self.loop.run_forever()
def connect_sync(self):
future = asyncio.run_coroutine_threadsafe(self._connect(), self.loop)
future.result(timeout=20)
async def _connect(self):
print(f"[WS] Connecting to {WS_URL} ...")
extra_headers = {
"Origin": "https://app.mindstudio.ai",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
}
self.ws = await websockets.connect(
WS_URL,
subprotocols=["auth", self.access_token],
additional_headers=extra_headers,
ping_interval=None,
ping_timeout=None,
)
print(f"[WS] Connected! Type: {type(self.ws).__name__}")
print(f"[WS] Subprotocol: {self.ws.subprotocol}")
has_closed = hasattr(self.ws, 'closed')
has_closecode = hasattr(self.ws, 'close_code')
has_state = hasattr(self.ws, 'state')
print(f"[WS] Attrs → closed={has_closed} close_code={has_closecode} state={has_state}")
def is_connected(self) -> bool:
return check_ws_open(self.ws)
def get_continuation_token(self, thread_id: str) -> str:
with self._tokens_lock:
return self._continuation_tokens.get(thread_id, INITIAL_CONTINUATION_TOKEN)
def set_continuation_token(self, thread_id: str, token: str):
with self._tokens_lock:
self._continuation_tokens[thread_id] = token
print(f"[TOKEN] Thread {thread_id[:8]}... token updated")
# ─────────────────────────────────────────
# ✅ FIX: Drain leftover WS buffer
# ─────────────────────────────────────────
async def _drain_ws_buffer(self):
"""Flush any leftover WebSocket messages from a previous response."""
flushed = 0
try:
while True:
raw = await asyncio.wait_for(self.ws.recv(), timeout=0.05)
flushed += 1
print(f"[DRAIN] Flushed leftover msg #{flushed}: {str(raw)[:80]}...")
except asyncio.TimeoutError:
pass
except Exception:
pass
if flushed:
print(f"[DRAIN] Total flushed: {flushed} leftover message(s)")
# ─────────────────────────────────────────
# ✅ FIX: Post FIRST, then listen
# ─────────────────────────────────────────
def send_message_stream(self, message: str, thread_id: str):
import queue
chunk_queue = queue.Queue()
done_event = threading.Event()
async def _run():
try:
# ✅ STEP 1: Drain any leftover buffer from previous message
await self._drain_ws_buffer()
# ✅ STEP 2: Post the new message
await self._post_message(message, thread_id)
# ✅ STEP 3: Small wait for server to process
await asyncio.sleep(0.15)
# ✅ STEP 4: Listen for THIS message's response only
await self._listen_for_response(chunk_queue, done_event, thread_id)
except Exception as e:
print(f"[ERROR] send_message_stream: {e}")
chunk_queue.put(f"[ERROR] {e}")
done_event.set()
asyncio.run_coroutine_threadsafe(_run(), self.loop)
while not done_event.is_set() or not chunk_queue.empty():
try:
chunk = chunk_queue.get(timeout=0.5)
yield f"data: {json.dumps({'text': chunk})}\n\n"
except Exception:
continue
yield f"data: {json.dumps({'done': True})}\n\n"
async def _post_message(self, message: str, thread_id: str):
post_url = f"https://v1.mindstudio-api.com/v1/apps/load/{APP_ID}/threads/post"
continuation_token = self.get_continuation_token(thread_id)
print(f"[POST] Using token: {continuation_token[:30]}... for thread: {thread_id[:8]}...")
payload = {
"threadId": thread_id,
"continuationToken": continuation_token,
"payload": {
"message": message,
"imageUrl": "",
"modelCandidates": [self.model],
},
}
headers = {
"Authorization": f"Bearer: {self.access_token}",
"X-Organization-Id": ORG_ID,
"Content-Type": "application/json",
"Accept": "application/json",
"Origin": "https://app.mindstudio.ai",
"User-Agent": "Mozilla/5.0",
"Referer": "https://app.mindstudio.ai/",
}
async with httpx.AsyncClient() as client:
resp = await client.post(post_url, json=payload, headers=headers)
print(f"[POST] Status: {resp.status_code}")
if resp.status_code not in (200, 204):
print(f"[POST] Body: {resp.text}")
async def _listen_for_response(self, chunk_queue, done_event, thread_id: str):
full_response = ""
previous_content_length = 0
system_post_id = None
detected_model = None
while True:
try:
raw_message = await asyncio.wait_for(self.ws.recv(), timeout=30.0)
except asyncio.TimeoutError:
continue
except websockets.exceptions.ConnectionClosed as e:
print(f"[WS] Connection closed: {e}")
break
except Exception as e:
print(f"[WS] Recv error: {e}")
break
try:
event = json.loads(raw_message)
except json.JSONDecodeError:
continue
event_type = event.get("type", "")
if event_type == "Apps/ThreadContinuationActionUpdated":
data = event.get("appThreadContinuationActionUpdated", {})
new_token = data.get("continuationAction", {}).get("token")
if new_token:
self.set_continuation_token(thread_id, new_token)
underlying = (
data.get("continuationAction", {})
.get("step", {})
.get("underlyingModel", {})
)
if isinstance(underlying, dict) and underlying.get("model"):
if not detected_model:
detected_model = underlying["model"]
elif event_type == "Apps/ThreadPostsCreated":
posts = event.get("appThreadPostsCreated", {}).get("posts", [])
for post in posts:
chat_msg = post.get("chatMessage", {})
if chat_msg.get("source") == "system":
system_post_id = post.get("id")
debug_info = chat_msg.get("_debugInfo", {})
if isinstance(debug_info, dict):
model = safe_get_model(debug_info)
if model:
detected_model = model
content = chat_msg.get("content", "")
is_in_progress = chat_msg.get("isInProgress", True)
if content and not is_in_progress:
chunk_queue.put(content)
done_event.set()
return
elif content:
chunk_queue.put(content)
previous_content_length = len(content)
full_response = content
elif event_type == "Apps/ThreadPostUpdated":
post_data = event.get("appThreadPostUpdated", {})
new_post = post_data.get("newPost", {})
post_id = post_data.get("postId")
chat_msg = new_post.get("chatMessage", {})
if chat_msg.get("source") != "system":
continue
if system_post_id and post_id != system_post_id:
continue
debug_info = chat_msg.get("_debugInfo", {})
if isinstance(debug_info, dict):
model = safe_get_model(debug_info)
if model and not detected_model:
detected_model = model
current_content = chat_msg.get("content", "")
is_in_progress = chat_msg.get("isInProgress", True)
if len(current_content) > previous_content_length:
delta = current_content[previous_content_length:]
chunk_queue.put(delta)
previous_content_length = len(current_content)
full_response = current_content
if not is_in_progress:
print(f"[DONE] Model: {detected_model or 'unknown'}")
done_event.set()
return
done_event.set()
async def _close(self):
if self.ws:
await self.ws.close()
# ─────────────────────────────────────────────
# HELPER: get or create client
# ─────────────────────────────────────────────
def get_or_create_client(access_token: str) -> MindStudioClient:
with _clients_lock:
client = _clients.get(access_token)
if client and client.is_connected():
print("[CLIENT] Reusing existing connected client")
return client
print("[CLIENT] Creating new client and connecting...")
client = MindStudioClient(access_token=access_token)
client.connect_sync()
_clients[access_token] = client
return client
# ─────────────────────────────────────────────
# ROUTES
# ─────────────────────────────────────────────
@app.route("/health", methods=["GET"])
def health():
return jsonify({
"status": "ok",
"model": TARGET_MODEL,
"websockets_version": websockets.__version__,
}), 200
@app.route("/connect", methods=["GET"])
def connect():
auth = request.headers.get("Authorization", "")
if not auth.startswith("Bearer "):
return jsonify({"error": "Missing or invalid Authorization header"}), 401
access_token = auth.removeprefix("Bearer ").strip()
try:
client = get_or_create_client(access_token)
ws_type = type(client.ws).__name__ if client.ws else "None"
return jsonify({
"status": "connected",
"model": TARGET_MODEL,
"ws_object_type": ws_type,
}), 200
except Exception as e:
print(f"[CONNECT ERROR] {type(e).__name__}: {e}")
return jsonify({"error": str(e)}), 500
@app.route("/chat", methods=["POST"])
def chat():
auth = request.headers.get("Authorization", "")
if not auth.startswith("Bearer "):
return jsonify({"error": "Missing or invalid Authorization header"}), 401
access_token = auth.removeprefix("Bearer ").strip()
data = request.get_json(silent=True)
if not data:
return jsonify({"error": "Invalid JSON body"}), 400
message = data.get("message", "").strip()
thread_id = data.get("threadId", "").strip()
if not message:
return jsonify({"error": "Missing 'message' field"}), 400
if not thread_id:
return jsonify({"error": "Missing 'threadId' field"}), 400
try:
client = get_or_create_client(access_token)
except Exception as e:
return jsonify({"error": f"WebSocket connection failed: {e}"}), 500
def generate():
yield f"data: {json.dumps({'status': 'connected', 'model': TARGET_MODEL})}\n\n"
for chunk in client.send_message_stream(message, thread_id):
yield chunk
return Response(
stream_with_context(generate()),
mimetype="text/event-stream",
headers={
"Cache-Control": "no-cache",
"X-Accel-Buffering": "no",
"Connection": "keep-alive",
},
)
# ─────────────────────────────────────────────
# ENTRY POINT
# ─────────────────────────────────────────────
if __name__ == "__main__":
print("="*60)
print(f" MindStudio Flask API | Model: {TARGET_MODEL}")
print(f" websockets version: {websockets.__version__}")
print("="*60)
app.run(host="0.0.0.0", port=7860, debug=False, threaded=True) |