328 lines
9.6 KiB
Python
328 lines
9.6 KiB
Python
#!/usr/bin/env python3
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"""
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Simple command line client for Testing/debugging
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a Freqtrade bot's message websocket
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Should not import anything from freqtrade,
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so it can be used as a standalone script.
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"""
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import argparse
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import asyncio
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import logging
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import socket
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import sys
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import time
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from pathlib import Path
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import orjson
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import pandas
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import rapidjson
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import websockets
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from dateutil.relativedelta import relativedelta
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logger = logging.getLogger("WebSocketClient")
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# ---------------------------------------------------------------------------
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def setup_logging(filename: str):
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[
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logging.FileHandler(filename),
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logging.StreamHandler()
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]
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)
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def parse_args():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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'-c',
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'--config',
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help='Specify configuration file (default: %(default)s). ',
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dest='config',
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type=str,
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metavar='PATH',
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default='config.json'
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)
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parser.add_argument(
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'-l',
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'--logfile',
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help='The filename to log to.',
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dest='logfile',
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type=str,
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default='ws_client.log'
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)
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args = parser.parse_args()
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return vars(args)
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def load_config(configfile):
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file = Path(configfile)
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if file.is_file():
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with file.open("r") as f:
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config = rapidjson.load(f, parse_mode=rapidjson.PM_COMMENTS |
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rapidjson.PM_TRAILING_COMMAS)
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return config
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else:
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logger.warning(f"Could not load config file {file}.")
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sys.exit(1)
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def readable_timedelta(delta):
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"""
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Convert a dateutil.relativedelta to a readable format
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:param delta: A dateutil.relativedelta
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:returns: The readable time difference string
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"""
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attrs = ['years', 'months', 'days', 'hours', 'minutes', 'seconds', 'microseconds']
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return ", ".join([
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'%d %s' % (getattr(delta, attr), attr if getattr(delta, attr) > 1 else attr[:-1])
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for attr in attrs if getattr(delta, attr)
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])
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# ----------------------------------------------------------------------------
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def json_serialize(message):
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"""
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Serialize a message to JSON using orjson
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:param message: The message to serialize
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"""
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return str(orjson.dumps(message), "utf-8")
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def json_deserialize(message):
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"""
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Deserialize JSON to a dict
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:param message: The message to deserialize
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"""
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def json_to_dataframe(data: str) -> pandas.DataFrame:
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dataframe = pandas.read_json(data, orient='split')
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if 'date' in dataframe.columns:
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dataframe['date'] = pandas.to_datetime(dataframe['date'], unit='ms', utc=True)
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return dataframe
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def _json_object_hook(z):
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if z.get('__type__') == 'dataframe':
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return json_to_dataframe(z.get('__value__'))
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return z
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return rapidjson.loads(message, object_hook=_json_object_hook)
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# ---------------------------------------------------------------------------
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class ClientProtocol:
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logger = logging.getLogger("WebSocketClient.Protocol")
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_MESSAGE_COUNT = 0
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_LAST_RECEIVED_AT = 0 # The epoch we received a message most recently
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async def on_connect(self, websocket):
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# On connection we have to send our initial requests
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initial_requests = [
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{
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"type": "subscribe", # The subscribe request should always be first
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"data": ["analyzed_df", "whitelist"] # The message types we want
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},
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{
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"type": "whitelist",
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"data": None,
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},
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{
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"type": "analyzed_df",
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"data": {"limit": 1500}
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}
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]
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for request in initial_requests:
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await websocket.send(json_serialize(request))
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async def on_message(self, websocket, name, message):
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deserialized = json_deserialize(message)
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message_size = sys.getsizeof(message)
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message_type = deserialized.get('type')
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message_data = deserialized.get('data')
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self.logger.info(
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f"Received message of type {message_type} [{message_size} bytes] @ [{name}]"
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)
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time_difference = self._calculate_time_difference()
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if self._MESSAGE_COUNT > 0:
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self.logger.info(f"Time since last message: {time_difference}")
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message_handler = getattr(self, f"_handle_{message_type}", None) or self._handle_default
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await message_handler(name, message_type, message_data)
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self._MESSAGE_COUNT += 1
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self.logger.info(f"[{self._MESSAGE_COUNT}] total messages..")
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self.logger.info("-" * 80)
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def _calculate_time_difference(self):
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old_last_received_at = self._LAST_RECEIVED_AT
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self._LAST_RECEIVED_AT = time.time() * 1000
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time_delta = relativedelta(microseconds=(self._LAST_RECEIVED_AT - old_last_received_at))
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return readable_timedelta(time_delta)
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async def _handle_whitelist(self, name, type, data):
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self.logger.info(data)
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async def _handle_analyzed_df(self, name, type, data):
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key, la, df = data['key'], data['la'], data['df']
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if not df.empty:
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columns = ", ".join([str(column) for column in df.columns])
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self.logger.info(key)
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self.logger.info(f"Last analyzed datetime: {la}")
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self.logger.info(f"Latest candle datetime: {df.iloc[-1]['date']}")
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self.logger.info(f"DataFrame length: {len(df)}")
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self.logger.info(f"DataFrame columns: {columns}")
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else:
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self.logger.info("Empty DataFrame")
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async def _handle_default(self, name, type, data):
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self.logger.info("Unkown message of type {type} received...")
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self.logger.info(data)
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async def create_client(
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host,
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port,
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token,
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name='default',
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protocol=ClientProtocol(),
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sleep_time=10,
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ping_timeout=10,
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wait_timeout=30,
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**kwargs
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):
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"""
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Create a websocket client and listen for messages
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:param host: The host
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:param port: The port
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:param token: The websocket auth token
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:param name: The name of the producer
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:param **kwargs: Any extra kwargs passed to websockets.connect
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"""
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while 1:
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try:
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websocket_url = f"ws://{host}:{port}/api/v1/message/ws?token={token}"
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logger.info(f"Attempting to connect to {name} @ {host}:{port}")
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async with websockets.connect(websocket_url, **kwargs) as ws:
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logger.info("Connection successful...")
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await protocol.on_connect(ws)
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# Now listen for messages
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while 1:
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try:
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message = await asyncio.wait_for(
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ws.recv(),
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timeout=wait_timeout
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)
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await protocol.on_message(ws, name, message)
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except (
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asyncio.TimeoutError,
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websockets.exceptions.ConnectionClosed
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):
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# Try pinging
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try:
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pong = ws.ping()
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await asyncio.wait_for(
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pong,
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timeout=ping_timeout
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)
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logger.info("Connection still alive...")
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continue
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except asyncio.TimeoutError:
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logger.error(f"Ping timed out, retrying in {sleep_time}s")
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await asyncio.sleep(sleep_time)
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break
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except (
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socket.gaierror,
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ConnectionRefusedError,
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websockets.exceptions.InvalidStatusCode,
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websockets.exceptions.InvalidMessage
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) as e:
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logger.error(f"Connection Refused - {e} retrying in {sleep_time}s")
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await asyncio.sleep(sleep_time)
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continue
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except (
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websockets.exceptions.ConnectionClosedError,
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websockets.exceptions.ConnectionClosedOK
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):
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# Just keep trying to connect again indefinitely
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await asyncio.sleep(sleep_time)
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continue
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except Exception as e:
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# An unforseen error has occurred, log and try reconnecting again
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logger.error("Unexpected error has occurred:")
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logger.exception(e)
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await asyncio.sleep(sleep_time)
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continue
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# ---------------------------------------------------------------------------
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async def _main(args):
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setup_logging(args['logfile'])
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config = load_config(args['config'])
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emc_config = config.get('external_message_consumer', {})
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producers = emc_config.get('producers', [])
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producer = producers[0]
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wait_timeout = emc_config.get('wait_timeout', 300)
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ping_timeout = emc_config.get('ping_timeout', 10)
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sleep_time = emc_config.get('sleep_time', 10)
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message_size_limit = (emc_config.get('message_size_limit', 8) << 20)
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await create_client(
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producer['host'],
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producer['port'],
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producer['ws_token'],
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producer['name'],
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sleep_time=sleep_time,
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ping_timeout=ping_timeout,
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wait_timeout=wait_timeout,
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max_size=message_size_limit
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)
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def main():
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args = parse_args()
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try:
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asyncio.run(_main(args))
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except KeyboardInterrupt:
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logger.info("Exiting...")
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if __name__ == "__main__":
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main()
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