use new channel apis in emc, extend analyzed df to include list of dates for candles
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@@ -1058,23 +1058,46 @@ class RPC:
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return self._convert_dataframe_to_dict(self._freqtrade.config['strategy'],
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pair, timeframe, _data, last_analyzed)
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def __rpc_analysed_dataframe_raw(self, pair: str, timeframe: str,
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limit: Optional[int]) -> Tuple[DataFrame, datetime]:
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""" Get the dataframe and last analyze from the dataprovider """
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def __rpc_analysed_dataframe_raw(
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self,
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pair: str,
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timeframe: str,
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limit: Optional[Union[int, List[str]]] = None
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) -> Tuple[DataFrame, datetime]:
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"""
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Get the dataframe and last analyze from the dataprovider
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:param pair: The pair to get
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:param timeframe: The timeframe of data to get
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:param limit: If an integer, limits the size of dataframe
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If a list of string date times, only returns those candles
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"""
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_data, last_analyzed = self._freqtrade.dataprovider.get_analyzed_dataframe(
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pair, timeframe)
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_data = _data.copy()
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if limit:
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if limit and isinstance(limit, int):
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_data = _data.iloc[-limit:]
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elif limit and isinstance(limit, str):
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_data = _data.iloc[_data['date'].isin(limit)]
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return _data, last_analyzed
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def _ws_all_analysed_dataframes(
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self,
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pairlist: List[str],
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limit: Optional[int]
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limit: Optional[Union[int, List[str]]] = None
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) -> Generator[Dict[str, Any], None, None]:
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""" Get the analysed dataframes of each pair in the pairlist """
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"""
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Get the analysed dataframes of each pair in the pairlist.
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Limit size of dataframe if specified.
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If candles, only return the candles specified.
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:param pairlist: A list of pairs to get
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:param limit: If an integer, limits the size of dataframe
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If a list of string date times, only returns those candles
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:returns: A generator of dictionaries with the key, dataframe, and last analyzed timestamp
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"""
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timeframe = self._freqtrade.config['timeframe']
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candle_type = self._freqtrade.config.get('candle_type_def', CandleType.SPOT)
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@@ -1087,10 +1110,15 @@ class RPC:
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"la": last_analyzed
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}
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def _ws_request_analyzed_df(self, limit: Optional[int]):
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def _ws_request_analyzed_df(
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self,
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pair: Optional[str],
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limit: Optional[Union[int, List[str]]] = None,
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):
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""" Historical Analyzed Dataframes for WebSocket """
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whitelist = self._freqtrade.active_pair_whitelist
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return self._ws_all_analysed_dataframes(whitelist, limit)
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pairlist = [pair] if pair else self._freqtrade.active_pair_whitelist
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return self._ws_all_analysed_dataframes(pairlist, limit)
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def _ws_request_whitelist(self):
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""" Whitelist data for WebSocket """
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