Convert _rpc_analysed_history_full to static method
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@ -563,7 +563,7 @@ class ApiServer(RPC):
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config.update({
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'strategy': strategy,
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})
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results = self._rpc_analysed_history_full(config, pair, timeframe, timerange)
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results = RPC._rpc_analysed_history_full(config, pair, timeframe, timerange)
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return jsonify(results)
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@require_login
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@ -656,8 +656,9 @@ 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, strategy: str, pair: str, timeframe: str,
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dataframe: DataFrame, last_analyzed: datetime) -> Dict[str, Any]:
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@staticmethod
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def _convert_dataframe_to_dict(strategy: str, pair: str, timeframe: str, dataframe: DataFrame,
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last_analyzed: datetime) -> Dict[str, Any]:
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has_content = len(dataframe) != 0
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buy_signals = 0
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sell_signals = 0
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@ -711,7 +712,8 @@ 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_history_full(self, config, pair: str, timeframe: str,
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@staticmethod
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def _rpc_analysed_history_full(config, pair: str, timeframe: str,
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timerange: str) -> Dict[str, Any]:
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timerange_parsed = TimeRange.parse_timerange(timerange)
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@ -726,7 +728,7 @@ 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(strategy.get_strategy_name(), pair, timeframe,
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return RPC._convert_dataframe_to_dict(strategy.get_strategy_name(), pair, timeframe,
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df_analyzed, arrow.Arrow.utcnow().datetime)
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def _rpc_plot_config(self) -> Dict[str, Any]:
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