Expose drop_incomplete from refresh_latest_ohlcv
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@ -1389,7 +1389,8 @@ class Exchange:
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return pair, timeframe, candle_type, data
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return pair, timeframe, candle_type, data
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def refresh_latest_ohlcv(self, pair_list: ListPairsWithTimeframes, *,
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def refresh_latest_ohlcv(self, pair_list: ListPairsWithTimeframes, *,
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since_ms: Optional[int] = None, cache: bool = True
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since_ms: Optional[int] = None, cache: bool = True,
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drop_incomplete: bool = None
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) -> Dict[PairWithTimeframe, DataFrame]:
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) -> Dict[PairWithTimeframe, DataFrame]:
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"""
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"""
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Refresh in-memory OHLCV asynchronously and set `_klines` with the result
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Refresh in-memory OHLCV asynchronously and set `_klines` with the result
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@ -1398,10 +1399,13 @@ class Exchange:
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:param pair_list: List of 2 element tuples containing pair, interval to refresh
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:param pair_list: List of 2 element tuples containing pair, interval to refresh
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:param since_ms: time since when to download, in milliseconds
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:param since_ms: time since when to download, in milliseconds
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:param cache: Assign result to _klines. Usefull for one-off downloads like for pairlists
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:param cache: Assign result to _klines. Usefull for one-off downloads like for pairlists
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:param drop_incomplete: Control candle dropping.
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Specifying None defaults to _ohlcv_partial_candle
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:return: Dict of [{(pair, timeframe): Dataframe}]
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:return: Dict of [{(pair, timeframe): Dataframe}]
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"""
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"""
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logger.debug("Refreshing candle (OHLCV) data for %d pairs", len(pair_list))
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logger.debug("Refreshing candle (OHLCV) data for %d pairs", len(pair_list))
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# TODO-lev: maybe depend this on candle type?
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drop_incomplete = self._ohlcv_partial_candle if drop_incomplete is None else drop_incomplete
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input_coroutines = []
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input_coroutines = []
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cached_pairs = []
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cached_pairs = []
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# Gather coroutines to run
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# Gather coroutines to run
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@ -1447,7 +1451,7 @@ class Exchange:
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# keeping parsed dataframe in cache
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# keeping parsed dataframe in cache
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ohlcv_df = ohlcv_to_dataframe(
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ohlcv_df = ohlcv_to_dataframe(
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ticks, timeframe, pair=pair, fill_missing=True,
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ticks, timeframe, pair=pair, fill_missing=True,
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drop_incomplete=self._ohlcv_partial_candle)
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drop_incomplete=drop_incomplete)
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results_df[(pair, timeframe, c_type)] = ohlcv_df
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results_df[(pair, timeframe, c_type)] = ohlcv_df
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if cache:
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if cache:
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self._klines[(pair, timeframe, c_type)] = ohlcv_df
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self._klines[(pair, timeframe, c_type)] = ohlcv_df
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@ -91,7 +91,7 @@ def exchange_futures(request, exchange_conf, class_mocker):
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exchange_conf['exchange']['name'] = request.param
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exchange_conf['exchange']['name'] = request.param
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exchange_conf['trading_mode'] = 'futures'
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exchange_conf['trading_mode'] = 'futures'
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exchange_conf['collateral'] = 'cross'
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exchange_conf['collateral'] = 'cross'
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# TODO-lev This mock should no longer be necessary once futures are enabled.
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# TODO-lev: This mock should no longer be necessary once futures are enabled.
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class_mocker.patch(
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class_mocker.patch(
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'freqtrade.exchange.exchange.Exchange.validate_trading_mode_and_collateral')
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'freqtrade.exchange.exchange.Exchange.validate_trading_mode_and_collateral')
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class_mocker.patch(
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class_mocker.patch(
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