split load tickerdata function
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@@ -12,6 +12,27 @@ from freqtrade.analyze import populate_indicators, parse_ticker_dataframe
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logger = logging.getLogger(__name__)
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def load_tickerdata_file(pair, ticker_interval):
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"""
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Load a pair from file,
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:return dict OR empty if unsuccesful
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"""
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path = testdata_path()
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file = '{abspath}/{pair}-{ticker_interval}.json'.format(
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abspath=path,
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pair=pair,
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ticker_interval=ticker_interval,
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)
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# The file does not exist we download it
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if not os.path.isfile(file):
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return None
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# Read the file, load the json
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with open(file) as tickerdata:
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pairdata = json.load(tickerdata)
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return pairdata
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def load_data(ticker_interval: int = 5, pairs: Optional[List[str]] = None,
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refresh_pairs: Optional[bool] = False) -> Dict[str, List]:
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"""
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@@ -20,7 +41,6 @@ def load_data(ticker_interval: int = 5, pairs: Optional[List[str]] = None,
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:param pairs: list of pairs
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:return: dict
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"""
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path = testdata_path()
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result = {}
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_pairs = pairs or hyperopt_optimize_conf()['exchange']['pair_whitelist']
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@@ -31,18 +51,13 @@ def load_data(ticker_interval: int = 5, pairs: Optional[List[str]] = None,
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download_pairs(_pairs)
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for pair in _pairs:
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file = '{abspath}/{pair}-{ticker_interval}.json'.format(
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abspath=path,
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pair=pair,
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ticker_interval=ticker_interval,
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)
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# The file does not exist we download it
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if not os.path.isfile(file):
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pairdata = load_tickerdata_file(pair, ticker_interval)
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if not pairdata:
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# download the tickerdata from exchange
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download_backtesting_testdata(pair=pair, interval=ticker_interval)
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# Read the file, load the json
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with open(file) as tickerdata:
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result[pair] = json.load(tickerdata)
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# and retry reading the pair
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pairdata = load_tickerdata_file(pair, ticker_interval)
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result[pair] = pairdata
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return result
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