create compatibility code
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@ -67,3 +67,9 @@ def process_temporary_deprecated_settings(config: Dict[str, Any]) -> None:
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"'tradable_balance_ratio' and remove 'capital_available_percentage' "
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"from the edge configuration."
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)
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if 'ticker_interval' in config:
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logger.warning(
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"DEPRECATED: "
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"Please use 'timeframe' instead of 'ticker_interval."
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)
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config['timeframe'] = config['ticker_interval']
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@ -71,7 +71,6 @@ CONF_SCHEMA = {
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'type': 'object',
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'properties': {
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'max_open_trades': {'type': ['integer', 'number'], 'minimum': -1},
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'ticker_interval': {'type': 'string'},
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'timeframe': {'type': 'string'},
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'stake_currency': {'type': 'string'},
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'stake_amount': {
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@ -50,6 +50,14 @@ class StrategyResolver(IResolver):
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if 'ask_strategy' not in config:
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config['ask_strategy'] = {}
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if hasattr(strategy, 'ticker_interval') and not hasattr(strategy, 'timeframe'):
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# Assign ticker_interval to timeframe to keep compatibility
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if 'timeframe' not in config:
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logger.warning(
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"DEPRECATED: Please migrate to using timeframe instead of ticker_interval."
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)
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strategy.timeframe = strategy.ticker_interval
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# Set attributes
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# Check if we need to override configuration
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# (Attribute name, default, subkey)
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@ -80,6 +88,9 @@ class StrategyResolver(IResolver):
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StrategyResolver._override_attribute_helper(strategy, config,
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attribute, default)
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# Assign deprecated variable - to not break users code relying on this.
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strategy.ticker_interval = strategy.timeframe
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# Loop this list again to have output combined
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for attribute, _, subkey in attributes:
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if subkey and attribute in config[subkey]:
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@ -85,8 +85,8 @@ class IStrategy(ABC):
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trailing_stop_positive_offset: float = 0.0
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trailing_only_offset_is_reached = False
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# associated ticker interval
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ticker_interval: str
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# associated timeframe
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timeframe: str
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# Optional order types
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order_types: Dict = {
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@ -18,7 +18,6 @@ def test_default_strategy(result):
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metadata = {'pair': 'ETH/BTC'}
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assert type(strategy.minimal_roi) is dict
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assert type(strategy.stoploss) is float
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assert type(strategy.ticker_interval) is str
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assert type(strategy.timeframe) is str
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indicators = strategy.populate_indicators(result, metadata)
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assert type(indicators) is DataFrame
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