#!/usr/bin/env python3 """ Simple command line client for Testing/debugging a Freqtrade bot's message websocket Should not import anything from freqtrade, so it can be used as a standalone script. """ import argparse import asyncio import logging import socket import sys import time from pathlib import Path import orjson import pandas import rapidjson import websockets logger = logging.getLogger("WebSocketClient") # --------------------------------------------------------------------------- def setup_logging(filename: str): logging.basicConfig( level=logging.DEBUG, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', handlers=[ logging.FileHandler(filename), logging.StreamHandler() ] ) def parse_args(): parser = argparse.ArgumentParser() parser.add_argument( '-c', '--config', help='Specify configuration file (default: %(default)s). ', dest='config', type=str, metavar='PATH', default='config.json' ) parser.add_argument( '-l', '--logfile', help='The filename to log to.', dest='logfile', type=str, default='ws_client.log' ) args = parser.parse_args() return vars(args) def load_config(configfile): file = Path(configfile) if file.is_file(): with file.open("r") as f: config = rapidjson.load(f, parse_mode=rapidjson.PM_COMMENTS | rapidjson.PM_TRAILING_COMMAS) return config else: logger.warning(f"Could not load config file {file}.") sys.exit(1) def readable_timedelta(delta): """ Convert a millisecond delta to a readable format :param delta: A delta between two timestamps in milliseconds :returns: The readable time difference string """ seconds, milliseconds = divmod(delta, 1000) minutes, seconds = divmod(seconds, 60) return f"{int(minutes)}:{int(seconds)}.{int(milliseconds)}" # ---------------------------------------------------------------------------- def json_serialize(message): """ Serialize a message to JSON using orjson :param message: The message to serialize """ return str(orjson.dumps(message), "utf-8") def json_deserialize(message): """ Deserialize JSON to a dict :param message: The message to deserialize """ def json_to_dataframe(data: str) -> pandas.DataFrame: dataframe = pandas.read_json(data, orient='split') if 'date' in dataframe.columns: dataframe['date'] = pandas.to_datetime(dataframe['date'], unit='ms', utc=True) return dataframe def _json_object_hook(z): if z.get('__type__') == 'dataframe': return json_to_dataframe(z.get('__value__')) return z return rapidjson.loads(message, object_hook=_json_object_hook) # --------------------------------------------------------------------------- class ClientProtocol: logger = logging.getLogger("WebSocketClient.Protocol") _MESSAGE_COUNT = 0 _LAST_RECEIVED_AT = 0 # The epoch we received a message most recently async def on_connect(self, websocket): # On connection we have to send our initial requests initial_requests = [ { "type": "subscribe", # The subscribe request should always be first "data": ["analyzed_df", "whitelist"] # The message types we want }, { "type": "whitelist", "data": None, }, { "type": "analyzed_df", "data": {"limit": 1500} } ] for request in initial_requests: await websocket.send(json_serialize(request)) async def on_message(self, websocket, name, message): deserialized = json_deserialize(message) message_size = sys.getsizeof(message) message_type = deserialized.get('type') message_data = deserialized.get('data') self.logger.info( f"Received message of type {message_type} [{message_size} bytes] @ [{name}]" ) time_difference = self._calculate_time_difference() if self._MESSAGE_COUNT > 0: self.logger.info(f"Time since last message: {time_difference}") message_handler = getattr(self, f"_handle_{message_type}", None) or self._handle_default await message_handler(name, message_type, message_data) self._MESSAGE_COUNT += 1 self.logger.info(f"[{self._MESSAGE_COUNT}] total messages..") self.logger.info("-" * 80) def _calculate_time_difference(self): old_last_received_at = self._LAST_RECEIVED_AT self._LAST_RECEIVED_AT = time.time() * 1e3 time_delta = self._LAST_RECEIVED_AT - old_last_received_at return readable_timedelta(time_delta) async def _handle_whitelist(self, name, type, data): self.logger.info(data) async def _handle_analyzed_df(self, name, type, data): key, la, df = data['key'], data['la'], data['df'] if not df.empty: columns = ", ".join([str(column) for column in df.columns]) self.logger.info(key) self.logger.info(f"Last analyzed datetime: {la}") self.logger.info(f"Latest candle datetime: {df.iloc[-1]['date']}") self.logger.info(f"DataFrame length: {len(df)}") self.logger.info(f"DataFrame columns: {columns}") else: self.logger.info("Empty DataFrame") async def _handle_default(self, name, type, data): self.logger.info("Unkown message of type {type} received...") self.logger.info(data) async def create_client( host, port, token, scheme='ws', name='default', protocol=ClientProtocol(), sleep_time=10, ping_timeout=10, wait_timeout=30, **kwargs ): """ Create a websocket client and listen for messages :param host: The host :param port: The port :param token: The websocket auth token :param scheme: `ws` for most connections, `wss` for ssl :param name: The name of the producer :param **kwargs: Any extra kwargs passed to websockets.connect """ while 1: try: websocket_url = f"{scheme}://{host}:{port}/api/v1/message/ws?token={token}" logger.info(f"Attempting to connect to {name} @ {host}:{port}") async with websockets.connect(websocket_url, **kwargs) as ws: logger.info("Connection successful...") await protocol.on_connect(ws) # Now listen for messages while 1: try: message = await asyncio.wait_for( ws.recv(), timeout=wait_timeout ) await protocol.on_message(ws, name, message) except ( asyncio.TimeoutError, websockets.exceptions.WebSocketException ): # Try pinging try: pong = await ws.ping() latency = (await asyncio.wait_for(pong, timeout=ping_timeout) * 1000) logger.info(f"Connection still alive, latency: {latency}ms") continue except asyncio.TimeoutError: logger.error(f"Ping timed out, retrying in {sleep_time}s") await asyncio.sleep(sleep_time) break except ( socket.gaierror, ConnectionRefusedError, websockets.exceptions.InvalidStatusCode, websockets.exceptions.InvalidMessage ) as e: logger.error(f"Connection Refused - {e} retrying in {sleep_time}s") await asyncio.sleep(sleep_time) continue except ( websockets.exceptions.ConnectionClosedError, websockets.exceptions.ConnectionClosedOK ): logger.info("Connection was closed") # Just keep trying to connect again indefinitely await asyncio.sleep(sleep_time) continue except Exception as e: # An unforseen error has occurred, log and try reconnecting again logger.error("Unexpected error has occurred:") logger.exception(e) await asyncio.sleep(sleep_time) continue # --------------------------------------------------------------------------- async def _main(args): setup_logging(args['logfile']) config = load_config(args['config']) emc_config = config.get('external_message_consumer', {}) producers = emc_config.get('producers', []) producer = producers[0] wait_timeout = emc_config.get('wait_timeout', 30) ping_timeout = emc_config.get('ping_timeout', 10) sleep_time = emc_config.get('sleep_time', 10) message_size_limit = (emc_config.get('message_size_limit', 8) << 20) await create_client( producer['host'], producer['port'], producer['ws_token'], 'wss' if producer.get('secure', False) else 'ws', producer['name'], sleep_time=sleep_time, ping_timeout=ping_timeout, wait_timeout=wait_timeout, max_size=message_size_limit, ping_interval=None ) def main(): args = parse_args() try: asyncio.run(_main(args)) except KeyboardInterrupt: logger.info("Exiting...") if __name__ == "__main__": main()