split initial data into separate requests
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dccde88c83
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@ -33,4 +33,6 @@ class RPCMessageType(str, Enum):
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# Enum for parsing requests from ws consumers
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class RPCRequestType(str, Enum):
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SUBSCRIBE = 'subscribe'
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INITIAL_DATA = 'initial_data'
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WHITELIST = 'whitelist'
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ANALYZED_DF = 'analyzed_df'
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@ -33,7 +33,7 @@ async def _process_consumer_request(
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return
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if not isinstance(data, list):
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logger.error(f"Improper request from channel: {channel} - {request}")
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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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@ -42,18 +42,18 @@ async def _process_consumer_request(
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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.INITIAL_DATA:
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# Acquire the data
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initial_data = rpc._ws_initial_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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# We now loop over it sending it in pieces
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whitelist_data, analyzed_df = initial_data.get('whitelist'), initial_data.get('analyzed_df')
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await channel.send({"type": RPCMessageType.WHITELIST, "data": whitelist})
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if whitelist_data:
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await channel.send({"type": RPCMessageType.WHITELIST, "data": whitelist_data})
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elif type == RPCRequestType.ANALYZED_DF:
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# They requested the full historical analyzed dataframes
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analyzed_df = rpc._ws_request_analyzed_df()
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if analyzed_df:
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for pair, message in analyzed_df.items():
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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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@ -158,10 +158,12 @@ class ExternalMessageConsumer:
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self.compose_consumer_request(RPCRequestType.SUBSCRIBE, self.topics)
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)
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# Now request the initial data from this Producer
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await channel.send(
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self.compose_consumer_request(RPCRequestType.INITIAL_DATA)
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)
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# Now request the initial data from this Producer for every topic
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# we've subscribed to
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for topic in self.topics:
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# without .upper() we get KeyError
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request_type = RPCRequestType[topic.upper()]
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await channel.send(self.compose_consumer_request(request_type))
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# Now receive data, if none is within the time limit, ping
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while True:
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@ -191,9 +193,12 @@ class ExternalMessageConsumer:
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await asyncio.sleep(self.sleep_time)
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break
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except Exception as e:
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logger.exception(e)
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continue
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# Catch invalid ws_url, and break the loop
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except websockets.exceptions.InvalidURI as e:
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logger.error(f"{ws_url} is an invalid WebSocket URL - {e}")
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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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@ -204,9 +209,9 @@ class ExternalMessageConsumer:
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continue
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# Catch invalid ws_url, and break the loop
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except websockets.exceptions.InvalidURI as e:
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logger.error(f"{ws_url} is an invalid WebSocket URL - {e}")
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except Exception as e:
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# An unforseen error has occurred, log and stop
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logger.exception(e)
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break
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def compose_consumer_request(
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@ -1068,13 +1068,14 @@ class RPC:
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return _data
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def _ws_initial_data(self):
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""" Websocket friendly initial data, whitelists and all analyzed dataframes """
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def _ws_request_analyzed_df(self):
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""" Historical Analyzed Dataframes for WebSocket """
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whitelist = self._freqtrade.active_pair_whitelist
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# We only get the last 500 candles, should we remove the limit?
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analyzed_df = self._ws_all_analysed_dataframes(whitelist, 500)
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return self._ws_all_analysed_dataframes(whitelist, 500)
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return {"whitelist": whitelist, "analyzed_df": analyzed_df}
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def _ws_request_whitelist(self):
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""" Whitelist data for WebSocket """
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return self._freqtrade.active_pair_whitelist
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@ staticmethod
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def _rpc_analysed_history_full(config, pair: str, timeframe: str,
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