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Return strategy with analyzed data

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This commit is contained in:
Matthias 2020-07-31 07:32:27 +02:00
parent 18bbfdd341
commit 32e6ea314c
2 changed files with 9 additions and 3 deletions
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10
freqtrade/rpc/rpc.py
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@ -657,7 +657,8 @@ class RPC:
raise RPCException('Edge is not enabled.') raise RPCException('Edge is not enabled.')
return self._freqtrade.edge.accepted_pairs() return self._freqtrade.edge.accepted_pairs()
def _convert_dataframe_to_dict(self, pair: str, dataframe: DataFrame, last_analyzed: datetime): def _convert_dataframe_to_dict(self, strategy: str, pair: str, dataframe: DataFrame,
last_analyzed: datetime):
dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].astype(int64) // 1000 // 1000 dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].astype(int64) // 1000 // 1000
# Move open to seperate column when signal for easy plotting # Move open to seperate column when signal for easy plotting
@ -671,6 +672,7 @@ class RPC:
return { return {
'pair': pair, 'pair': pair,
'strategy': strategy,
'columns': list(dataframe.columns), 'columns': list(dataframe.columns),
'data': dataframe.values.tolist(), 'data': dataframe.values.tolist(),
'length': len(dataframe), 'length': len(dataframe),
@ -687,7 +689,8 @@ class RPC:
_data, last_analyzed = self._freqtrade.dataprovider.get_analyzed_dataframe(pair, timeframe) _data, last_analyzed = self._freqtrade.dataprovider.get_analyzed_dataframe(pair, timeframe)
if limit: if limit:
_data = _data.iloc[-limit:].copy() _data = _data.iloc[-limit:].copy()
return self._convert_dataframe_to_dict(pair, _data, last_analyzed) return self._convert_dataframe_to_dict(self._freqtrade.config['strategy'],
pair, _data, last_analyzed)
def _rpc_analysed_history_full(self, config: Dict[str, any], pair: str, timeframe: str, def _rpc_analysed_history_full(self, config: Dict[str, any], pair: str, timeframe: str,
timerange: str) -> Dict[str, Any]: timerange: str) -> Dict[str, Any]:
@ -704,7 +707,8 @@ class RPC:
strategy = StrategyResolver.load_strategy(config) strategy = StrategyResolver.load_strategy(config)
df_analyzed = strategy.analyze_ticker(_data[pair], {'pair': pair}) df_analyzed = strategy.analyze_ticker(_data[pair], {'pair': pair})
return self._convert_dataframe_to_dict(pair, df_analyzed, arrow.Arrow.utcnow().datetime) return self._convert_dataframe_to_dict(strategy.get_strategy_name(), pair, df_analyzed,
arrow.Arrow.utcnow().datetime)
def _rpc_plot_config(self) -> Dict[str, Any]: def _rpc_plot_config(self) -> Dict[str, Any]:

2
tests/rpc/test_rpc_apiserver.py
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@ -827,6 +827,8 @@ def test_api_pair_candles(botclient, ohlcv_history):
rc = client_get(client, rc = client_get(client,
f"{BASE_URI}/pair_candles?limit={amount}&pair=XRP%2FBTC&timeframe={timeframe}") f"{BASE_URI}/pair_candles?limit={amount}&pair=XRP%2FBTC&timeframe={timeframe}")
assert_response(rc) assert_response(rc)
assert 'strategy' in rc.json
assert rc.json['strategy'] == 'DefaultStrategy'
assert 'columns' in rc.json assert 'columns' in rc.json
assert 'data_start_ts' in rc.json assert 'data_start_ts' in rc.json
assert 'data_start' in rc.json assert 'data_start' in rc.json