Return strategy with analyzed data
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@ -657,7 +657,8 @@ class RPC:
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raise RPCException('Edge is not enabled.')
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return self._freqtrade.edge.accepted_pairs()
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def _convert_dataframe_to_dict(self, pair: str, dataframe: DataFrame, last_analyzed: datetime):
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def _convert_dataframe_to_dict(self, strategy: str, pair: str, dataframe: DataFrame,
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last_analyzed: datetime):
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dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].astype(int64) // 1000 // 1000
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# Move open to seperate column when signal for easy plotting
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@ -671,6 +672,7 @@ class RPC:
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return {
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'pair': pair,
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'strategy': strategy,
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'columns': list(dataframe.columns),
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'data': dataframe.values.tolist(),
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'length': len(dataframe),
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@ -687,7 +689,8 @@ class RPC:
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_data, last_analyzed = self._freqtrade.dataprovider.get_analyzed_dataframe(pair, timeframe)
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if limit:
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_data = _data.iloc[-limit:].copy()
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return self._convert_dataframe_to_dict(pair, _data, last_analyzed)
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return self._convert_dataframe_to_dict(self._freqtrade.config['strategy'],
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pair, _data, last_analyzed)
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def _rpc_analysed_history_full(self, config: Dict[str, any], pair: str, timeframe: str,
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timerange: str) -> Dict[str, Any]:
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@ -704,7 +707,8 @@ class RPC:
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strategy = StrategyResolver.load_strategy(config)
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df_analyzed = strategy.analyze_ticker(_data[pair], {'pair': pair})
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return self._convert_dataframe_to_dict(pair, df_analyzed, arrow.Arrow.utcnow().datetime)
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return self._convert_dataframe_to_dict(strategy.get_strategy_name(), pair, df_analyzed,
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arrow.Arrow.utcnow().datetime)
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def _rpc_plot_config(self) -> Dict[str, Any]:
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@ -827,6 +827,8 @@ def test_api_pair_candles(botclient, ohlcv_history):
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rc = client_get(client,
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f"{BASE_URI}/pair_candles?limit={amount}&pair=XRP%2FBTC&timeframe={timeframe}")
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assert_response(rc)
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assert 'strategy' in rc.json
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assert rc.json['strategy'] == 'DefaultStrategy'
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assert 'columns' in rc.json
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assert 'data_start_ts' in rc.json
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assert 'data_start' in rc.json
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