split initial data into separate requests

This commit is contained in:
Timothy Pogue 2022-09-01 23:52:13 -06:00
parent dccde88c83
commit eb4cd6ba82
4 changed files with 35 additions and 27 deletions

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@ -33,4 +33,6 @@ class RPCMessageType(str, Enum):
# Enum for parsing requests from ws consumers # Enum for parsing requests from ws consumers
class RPCRequestType(str, Enum): class RPCRequestType(str, Enum):
SUBSCRIBE = 'subscribe' SUBSCRIBE = 'subscribe'
INITIAL_DATA = 'initial_data'
WHITELIST = 'whitelist'
ANALYZED_DF = 'analyzed_df'

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@ -33,7 +33,7 @@ async def _process_consumer_request(
return return
if not isinstance(data, list): if not isinstance(data, list):
logger.error(f"Improper request from channel: {channel} - {request}") logger.error(f"Improper subscribe request from channel: {channel} - {request}")
return return
# If all topics passed are a valid RPCMessageType, set subscriptions on channel # If all topics passed are a valid RPCMessageType, set subscriptions on channel
@ -42,18 +42,18 @@ async def _process_consumer_request(
logger.debug(f"{channel} subscribed to topics: {data}") logger.debug(f"{channel} subscribed to topics: {data}")
channel.set_subscriptions(data) channel.set_subscriptions(data)
elif type == RPCRequestType.INITIAL_DATA: elif type == RPCRequestType.WHITELIST:
# Acquire the data # They requested the whitelist
initial_data = rpc._ws_initial_data() whitelist = rpc._ws_request_whitelist()
# We now loop over it sending it in pieces await channel.send({"type": RPCMessageType.WHITELIST, "data": whitelist})
whitelist_data, analyzed_df = initial_data.get('whitelist'), initial_data.get('analyzed_df')
if whitelist_data: elif type == RPCRequestType.ANALYZED_DF:
await channel.send({"type": RPCMessageType.WHITELIST, "data": whitelist_data}) # They requested the full historical analyzed dataframes
analyzed_df = rpc._ws_request_analyzed_df()
if analyzed_df: # For every dataframe, send as a separate message
for pair, message in analyzed_df.items(): for _, message in analyzed_df.items():
await channel.send({"type": RPCMessageType.ANALYZED_DF, "data": message}) await channel.send({"type": RPCMessageType.ANALYZED_DF, "data": message})

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@ -158,10 +158,12 @@ class ExternalMessageConsumer:
self.compose_consumer_request(RPCRequestType.SUBSCRIBE, self.topics) self.compose_consumer_request(RPCRequestType.SUBSCRIBE, self.topics)
) )
# Now request the initial data from this Producer # Now request the initial data from this Producer for every topic
await channel.send( # we've subscribed to
self.compose_consumer_request(RPCRequestType.INITIAL_DATA) for topic in self.topics:
) # without .upper() we get KeyError
request_type = RPCRequestType[topic.upper()]
await channel.send(self.compose_consumer_request(request_type))
# Now receive data, if none is within the time limit, ping # Now receive data, if none is within the time limit, ping
while True: while True:
@ -191,9 +193,12 @@ class ExternalMessageConsumer:
await asyncio.sleep(self.sleep_time) await asyncio.sleep(self.sleep_time)
break break
except Exception as e:
logger.exception(e) # Catch invalid ws_url, and break the loop
continue except websockets.exceptions.InvalidURI as e:
logger.error(f"{ws_url} is an invalid WebSocket URL - {e}")
break
except ( except (
socket.gaierror, socket.gaierror,
ConnectionRefusedError, ConnectionRefusedError,
@ -204,9 +209,9 @@ class ExternalMessageConsumer:
continue continue
# Catch invalid ws_url, and break the loop except Exception as e:
except websockets.exceptions.InvalidURI as e: # An unforseen error has occurred, log and stop
logger.error(f"{ws_url} is an invalid WebSocket URL - {e}") logger.exception(e)
break break
def compose_consumer_request( def compose_consumer_request(

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@ -1068,13 +1068,14 @@ class RPC:
return _data return _data
def _ws_initial_data(self): def _ws_request_analyzed_df(self):
""" Websocket friendly initial data, whitelists and all analyzed dataframes """ """ Historical Analyzed Dataframes for WebSocket """
whitelist = self._freqtrade.active_pair_whitelist whitelist = self._freqtrade.active_pair_whitelist
# We only get the last 500 candles, should we remove the limit? return self._ws_all_analysed_dataframes(whitelist, 500)
analyzed_df = self._ws_all_analysed_dataframes(whitelist, 500)
return {"whitelist": whitelist, "analyzed_df": analyzed_df} def _ws_request_whitelist(self):
""" Whitelist data for WebSocket """
return self._freqtrade.active_pair_whitelist
@ staticmethod @ staticmethod
def _rpc_analysed_history_full(config, pair: str, timeframe: str, def _rpc_analysed_history_full(config, pair: str, timeframe: str,