import asyncio from fastapi import APIRouter, WebSocket, WebSocketDisconnect from app.api.deps import token_matches from app.bars.models import Timeframe from app.analysis.confluence import cluster_levels router = APIRouter() def level_enabled(level, enabled: dict) -> bool: kind = level.kind.value if kind == "ma": return level.period in enabled.get("ma", {}).get(level.tf.value, []) if kind == "manual": return enabled.get("manual", True) if kind == "trendline": return enabled.get("auto", False) if kind == "horizontal": return enabled.get("horizontal", True) if kind == "vwap": return enabled.get("vwap", True) return False def enabled_levels(runtime, prefs: dict | None): if not prefs or prefs.get("hidden_levels_score"): return runtime.levels enabled = prefs.get("enabled", {}) return [level for level in runtime.levels if level_enabled(level, enabled)] def connection_clusters(runtime, prefs: dict | None): if runtime.price is None or runtime.stream.last_bar_t is None: return [] return cluster_levels( enabled_levels(runtime, prefs), runtime.stream.last_bar_t, runtime.price, runtime.atr15 ) def snapshot(runtime, tf: Timeframe, prefs: dict | None = None) -> dict: return { "type": "snapshot", "tf": tf.value, "bars": [bar.to_dict() for bar in runtime.store.get(tf, 1000)], "levels": [level.to_dict() for level in runtime.levels], "clusters": [cluster.to_dict() for cluster in connection_clusters(runtime, prefs)], "price": runtime.store.get(Timeframe.M1, 1)[-1].c if runtime.store.get(Timeframe.M1, 1) else None, } @router.websocket("/ws") async def websocket_endpoint(websocket: WebSocket): # Browsers cannot set headers on a WebSocket handshake, so the token comes # in as a query parameter here. 1008 = policy violation. if not token_matches(websocket.app, websocket.query_params.get("token", "")): await websocket.close(code=1008, reason="Missing or invalid chart token") return await websocket.accept() runtime = websocket.app.state.runtime queue: asyncio.Queue = asyncio.Queue(maxsize=100) runtime.subscribers.add(queue) tf = Timeframe.M1 prefs = None await websocket.send_json(snapshot(runtime, tf, prefs)) async def receive(): nonlocal tf, prefs try: while True: message = await websocket.receive_json() if message.get("type") == "subscribe": tf = Timeframe(message.get("tf", "1m")) await websocket.send_json(snapshot(runtime, tf, prefs)) elif message.get("type") == "prefs": prefs = message clusters = connection_clusters(runtime, prefs) await websocket.send_json( { "type": "clusters", "price": runtime.price, "clusters": [cluster.to_dict() for cluster in clusters], } ) except WebSocketDisconnect: queue.put_nowait({"type": "disconnect"}) receiver = asyncio.create_task(receive()) try: while True: event = await queue.get() if event["type"] == "disconnect": break if event["type"] == "bar" and event["bar"].tf is tf: await websocket.send_json( {"type": "bar", "tf": tf.value, "bar": event["bar"].to_dict()} ) elif event["type"] == "levels": await websocket.send_json( {"type": "levels", "changed": event["changed"], "removed": event["removed"]} ) elif event["type"] == "clusters": clusters = connection_clusters(runtime, prefs) await websocket.send_json( { "type": "clusters", "price": runtime.price, "clusters": [cluster.to_dict() for cluster in clusters], } ) elif event["type"] == "alert": # Alerts are produced once, server-side. This socket only relays # them, so opening a second tab cannot double-notify. await websocket.send_json( { "type": "alert", "cluster": event["cluster"].to_dict(), "message": event["message"], } ) except (WebSocketDisconnect, asyncio.CancelledError): pass finally: receiver.cancel() runtime.subscribers.discard(queue)