remove old constant, add initial_data requesting, minor changes

This commit is contained in:
Timothy Pogue
2022-09-01 20:06:36 -06:00
parent 57e9078727
commit 00f35f4870
10 changed files with 136 additions and 56 deletions

View File

@@ -8,7 +8,7 @@ import asyncio
import logging
import socket
from threading import Thread
from typing import Any, Dict
from typing import Any, Dict, Optional
import websockets
@@ -58,6 +58,11 @@ class ExternalMessageConsumer:
# callbacks for the messages
self.topics = [RPCMessageType.WHITELIST, RPCMessageType.ANALYZED_DF]
self._message_handlers = {
RPCMessageType.WHITELIST: self._consume_whitelist_message,
RPCMessageType.ANALYZED_DF: self._consume_analyzed_df_message,
}
self.start()
def start(self):
@@ -152,6 +157,11 @@ class ExternalMessageConsumer:
self.compose_consumer_request(RPCRequestType.SUBSCRIBE, self.topics)
)
# Now request the initial data from this Producer
await channel.send(
self.compose_consumer_request(RPCRequestType.INITIAL_DATA)
)
# Now receive data, if none is within the time limit, ping
while True:
try:
@@ -198,7 +208,11 @@ class ExternalMessageConsumer:
logger.error(f"{ws_url} is an invalid WebSocket URL - {e}")
break
def compose_consumer_request(self, type_: RPCRequestType, data: Any) -> Dict[str, Any]:
def compose_consumer_request(
self,
type_: RPCRequestType,
data: Optional[Any] = None
) -> Dict[str, Any]:
"""
Create a request for sending to a producer
@@ -208,8 +222,6 @@ class ExternalMessageConsumer:
"""
return {'type': type_, 'data': data}
# How we do things here isn't set in stone. There seems to be some interest
# in figuring out a better way, but we shall do this for now.
def handle_producer_message(self, producer: Dict[str, Any], message: Dict[str, Any]):
"""
Handles external messages from a Producer
@@ -225,27 +237,44 @@ class ExternalMessageConsumer:
logger.debug(f"Received message of type {message_type}")
# Handle Whitelists
if message_type == RPCMessageType.WHITELIST:
pairlist = message_data
message_handler = self._message_handlers.get(message_type)
# Add the pairlist data to the DataProvider
self._dp.set_producer_pairs(pairlist, producer_name=producer_name)
if not message_handler:
logger.info(f"Received unhandled message: {message_data}, ignoring...")
return
# Handle analyzed dataframes
elif message_type == RPCMessageType.ANALYZED_DF:
key, value = message_data.get('key'), message_data.get('value')
message_handler(producer_name, message_data)
if key and value:
pair, timeframe, candle_type = key
def _consume_whitelist_message(self, producer_name: str, message_data: Any):
# We expect List[str]
if not isinstance(message_data, list):
return
# Convert the JSON to a pandas DataFrame
dataframe = json_to_dataframe(value)
# Add the pairlist data to the DataProvider
self._dp.set_producer_pairs(message_data, producer_name=producer_name)
# If set, remove the Entry and Exit signals from the Producer
if self._emc_config.get('remove_entry_exit_signals', False):
dataframe = remove_entry_exit_signals(dataframe)
logger.debug(f"Consumed message from {producer_name} of type RPCMessageType.WHITELIST")
# Add the dataframe to the dataprovider
self._dp.add_external_df(pair, timeframe, dataframe,
candle_type, producer_name=producer_name)
def _consume_analyzed_df_message(self, producer_name: str, message_data: Any):
# We expect a Dict[str, Any]
if not isinstance(message_data, dict):
return
key, value = message_data.get('key'), message_data.get('value')
if key and value:
pair, timeframe, candle_type = key
# Convert the JSON to a pandas DataFrame
dataframe = json_to_dataframe(value)
# If set, remove the Entry and Exit signals from the Producer
if self._emc_config.get('remove_entry_exit_signals', False):
dataframe = remove_entry_exit_signals(dataframe)
# Add the dataframe to the dataprovider
self._dp.add_external_df(pair, timeframe, dataframe,
candle_type, producer_name=producer_name)
logger.debug(
f"Consumed message from {producer_name} of type RPCMessageType.ANALYZED_DF")