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Ensure /pair_history endpoint correctly respects startup_candle_count

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closes https://github.com/freqtrade/frequi/issues/1379
This commit is contained in:
Matthias
2023-07-21 20:58:26 +02:00
parent f4933a9cff
commit 8d332fb99e
1 changed files with 11 additions and 4 deletions
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15
freqtrade/rpc/rpc.py
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@@ -1273,24 +1273,31 @@ class RPC:
exchange) -> Dict[str, Any]:
timerange_parsed = TimeRange.parse_timerange(config.get('timerange'))
from freqtrade.data.converter import trim_dataframe
from freqtrade.data.dataprovider import DataProvider
from freqtrade.resolvers.strategy_resolver import StrategyResolver
strategy = StrategyResolver.load_strategy(config)
startup_candles = strategy.startup_candle_count
_data = load_data(
datadir=config["datadir"],
pairs=[pair],
timeframe=timeframe,
timerange=timerange_parsed,
data_format=config.get('dataformat_ohlcv', 'json'),
candle_type=config.get('candle_type_def', CandleType.SPOT)
candle_type=config.get('candle_type_def', CandleType.SPOT),
startup_candles=startup_candles,
)
if pair not in _data:
raise RPCException(
f"No data for {pair}, {timeframe} in {config.get('timerange')} found.")
from freqtrade.data.dataprovider import DataProvider
from freqtrade.resolvers.strategy_resolver import StrategyResolver
strategy = StrategyResolver.load_strategy(config)
strategy.dp = DataProvider(config, exchange=exchange, pairlists=None)
strategy.ft_bot_start()
df_analyzed = strategy.analyze_ticker(_data[pair], {'pair': pair})
df_analyzed = trim_dataframe(df_analyzed, timerange_parsed, startup_candles=startup_candles)
return RPC._convert_dataframe_to_dict(strategy.get_strategy_name(), pair, timeframe,
df_analyzed, dt_now())