small adaptations

freqtrade/data/dataprovider.py

@@ -0,0 +1,65 @@
+"""
+Dataprovider
+Responsible to provide data to the bot
+including Klines, tickers, historic data
+Common Interface for bot and strategy to access data.
+"""
+import logging
+from typing import List, Dict
+
+from pandas import DataFrame
+
+from freqtrade.exchange import Exchange
+
+logger = logging.getLogger(__name__)
+
+
+class DataProvider(object):
+
+    def __init__(self, config: dict, exchange: Exchange) -> None:
+        self._config = config
+        self._exchange = exchange
+
+    def refresh(self, pairlist: List[str]) -> None:
+        """
+        Refresh data, called with each cycle
+        """
+        self._exchange.refresh_tickers(pairlist, self._config['ticker_interval'])
+
+    def ohlcv(self, pair: str) -> List[str]:
+        """
+        get ohlcv data for the given pair as DataFrame
+        """
+        # TODO: Should not be stored in exchange but in this class
+        # TODO: should return dataframe, not list
+        return self._exchange.klines(pair)
+
+    def historic_ohlcv(self, pair: str) -> DataFrame:
+        """
+        get historic ohlcv data stored for backtesting
+        """
+        pass
+
+    def ticker(self, pair: str):
+        """
+        Return last ticker data
+        """
+        pass
+
+    def orderbook(self, pair: str, max: int):
+        """
+        return latest orderbook data
+        """
+        pass
+
+    def balance(self, pair):
+        # TODO: maybe use wallet directly??
+        pass
+
+    @property
+    def runmode(self) -> str:
+        """
+        Get runmode of the bot
+        can be "live", "dry-run", "backtest", "edgecli", "hyperopt".
+        """
+        return self._config.get['runmode']