Add send_msg capability to dataprovider

freqtrade/data/dataprovider.py

@@ -5,12 +5,14 @@ including ticker and orderbook data, live and historical candle (OHLCV) data
 Common Interface for bot and strategy to access data.
 """
 import logging
+from collections import deque
 from datetime import datetime, timezone
 from typing import Any, Dict, List, Optional, Tuple
 
 from pandas import DataFrame
 
 from freqtrade.configuration import TimeRange
+from freqtrade.configuration.PeriodicCache import PeriodicCache
 from freqtrade.constants import ListPairsWithTimeframes, PairWithTimeframe
 from freqtrade.data.history import load_pair_history
 from freqtrade.enums import CandleType, RunMode
@@ -33,6 +35,9 @@ class DataProvider:
         self.__cached_pairs: Dict[PairWithTimeframe, Tuple[DataFrame, datetime]] = {}
         self.__slice_index: Optional[int] = None
         self.__cached_pairs_backtesting: Dict[PairWithTimeframe, DataFrame] = {}
+        self._msg_queue: deque = deque()
+        self.__msg_cache = PeriodicCache(
+            maxsize=1000, ttl=timeframe_to_seconds(self._config['timeframe']))
 
     def _set_dataframe_max_index(self, limit_index: int):
         """
@@ -265,3 +270,19 @@ class DataProvider:
         if self._exchange is None:
             raise OperationalException(NO_EXCHANGE_EXCEPTION)
         return self._exchange.fetch_l2_order_book(pair, maximum)
+
+    def send_msg(self, message: str, always_send: bool = False) -> None:
+        """
+        TODO: Document me
+        :param message: Message to be sent. Must be below 4096.
+        :param always_send: If False, will send the message only once per candle, and surpress
+                            identical messages.
+                            Careful as this can end up spaming your chat.
+                            Defaults to False
+        """
+        if self.runmode not in (RunMode.DRY_RUN, RunMode.LIVE):
+            return
+
+        if always_send or message not in self.__msg_cache:
+            self._msg_queue.append(message)
+        self.__msg_cache[message] = True

freqtrade/enums/rpcmessagetype.py

@@ -17,6 +17,8 @@ class RPCMessageType(Enum):
     PROTECTION_TRIGGER = 'protection_trigger'
     PROTECTION_TRIGGER_GLOBAL = 'protection_trigger_global'
 
+    STRATEGY_MSG = 'strategy_msg'
+
     def __repr__(self):
         return self.value
 

freqtrade/freqtradebot.py

@@ -214,6 +214,7 @@ class FreqtradeBot(LoggingMixin):
         if self.trading_mode == TradingMode.FUTURES:
             self._schedule.run_pending()
         Trade.commit()
+        self.rpc.process_msg_queue(self.dataprovider._msg_queue)
         self.last_process = datetime.now(timezone.utc)
 
     def process_stopped(self) -> None:

freqtrade/rpc/rpc_manager.py

@@ -2,6 +2,7 @@
 This module contains class to manage RPC communications (Telegram, API, ...)
 """
 import logging
+from collections import deque
 from typing import Any, Dict, List
 
 from freqtrade.enums import RPCMessageType
@@ -77,6 +78,17 @@ class RPCManager:
             except NotImplementedError:
                 logger.error(f"Message type '{msg['type']}' not implemented by handler {mod.name}.")
 
+    def process_msg_queue(self, queue: deque) -> None:
+        """
+        Process all messages in the queue.
+        """
+        while queue:
+            msg = queue.popleft()
+            self.send_msg({
+                'type': RPCMessageType.STRATEGY_MSG,
+                'msg': msg,
+            })
+
     def startup_messages(self, config: Dict[str, Any], pairlist, protections) -> None:
         if config['dry_run']:
             self.send_msg({

freqtrade/rpc/telegram.py

@@ -376,7 +376,8 @@ class Telegram(RPCHandler):
 
         elif msg_type == RPCMessageType.STARTUP:
             message = f"{msg['status']}"
-
+        elif msg_type == RPCMessageType.STRATEGY_MSG:
+            message = f"{msg['msg']}"
         else:
             raise NotImplementedError(f"Unknown message type: {msg_type}")
         return message