113 lines
3.9 KiB
Python
113 lines
3.9 KiB
Python
import logging
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from typing import Any, Dict
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from fastapi import APIRouter, Depends, WebSocket, WebSocketDisconnect
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# fastapi does not make this available through it, so import directly from starlette
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from starlette.websockets import WebSocketState
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from freqtrade.enums import RPCMessageType, RPCRequestType
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from freqtrade.rpc.api_server.deps import get_channel_manager, get_rpc
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from freqtrade.rpc.api_server.ws.channel import WebSocketChannel
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from freqtrade.rpc.rpc import RPC
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logger = logging.getLogger(__name__)
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# Private router, protected by API Key authentication
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router = APIRouter()
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async def is_websocket_alive(ws: WebSocket) -> bool:
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if (
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ws.application_state == WebSocketState.CONNECTED and
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ws.client_state == WebSocketState.CONNECTED
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):
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return True
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return False
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async def _process_consumer_request(
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request: Dict[str, Any],
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channel: WebSocketChannel,
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rpc: RPC
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):
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type, data = request.get('type'), request.get('data')
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logger.debug(f"Request of type {type} from {channel}")
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# If we have a request of type SUBSCRIBE, set the topics in this channel
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if type == RPCRequestType.SUBSCRIBE:
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# If the request is empty, do nothing
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if not data:
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return
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if not isinstance(data, list):
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logger.error(f"Improper subscribe request from channel: {channel} - {request}")
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return
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# If all topics passed are a valid RPCMessageType, set subscriptions on channel
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if all([any(x.value == topic for x in RPCMessageType) for topic in data]):
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logger.debug(f"{channel} subscribed to topics: {data}")
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channel.set_subscriptions(data)
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elif type == RPCRequestType.WHITELIST:
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# They requested the whitelist
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whitelist = rpc._ws_request_whitelist()
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await channel.send({"type": RPCMessageType.WHITELIST, "data": whitelist})
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elif type == RPCRequestType.ANALYZED_DF:
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limit = None
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if data:
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# Limit the amount of candles per dataframe to 'limit' or 1500
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limit = max(data.get('limit', 500), 1500)
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# They requested the full historical analyzed dataframes
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analyzed_df = rpc._ws_request_analyzed_df(limit)
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# For every dataframe, send as a separate message
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for _, message in analyzed_df.items():
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await channel.send({"type": RPCMessageType.ANALYZED_DF, "data": message})
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@router.websocket("/message/ws")
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async def message_endpoint(
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ws: WebSocket,
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rpc: RPC = Depends(get_rpc),
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channel_manager=Depends(get_channel_manager),
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):
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try:
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if is_websocket_alive(ws):
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# TODO:
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# Return a channel ID, pass that instead of ws to the rest of the methods
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channel = await channel_manager.on_connect(ws)
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logger.info(f"Consumer connected - {channel}")
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# Keep connection open until explicitly closed, and process requests
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try:
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while not channel.is_closed():
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request = await channel.recv()
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# Process the request here
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await _process_consumer_request(request, channel, rpc)
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except WebSocketDisconnect:
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# Handle client disconnects
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logger.info(f"Consumer disconnected - {channel}")
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await channel_manager.on_disconnect(ws)
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except Exception as e:
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logger.info(f"Consumer connection failed - {channel}")
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logger.exception(e)
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# Handle cases like -
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# RuntimeError('Cannot call "send" once a closed message has been sent')
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await channel_manager.on_disconnect(ws)
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except Exception as e:
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logger.error(f"Failed to serve - {ws.client}")
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# Log tracebacks to keep track of what errors are happening
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logger.exception(e)
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await channel_manager.on_disconnect(ws)
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