add test and migration
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104711a9bf
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@ -11,6 +11,6 @@ class SignalType(Enum):
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class SignalNameType(Enum):
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class SignalNameType(Enum):
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"""
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"""
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Enum to distinguish between buy and sell signals
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Enum for signal name
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"""
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"""
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BUY_SIGNAL_NAME = "buy_signal_name"
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BUY_SIGNAL_NAME = "buy_signal_name"
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@ -690,7 +690,7 @@ class FreqtradeBot(LoggingMixin):
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analyzed_df, _ = self.dataprovider.get_analyzed_dataframe(trade.pair,
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analyzed_df, _ = self.dataprovider.get_analyzed_dataframe(trade.pair,
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self.strategy.timeframe)
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self.strategy.timeframe)
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(buy, sell) = self.strategy.get_signal(trade.pair, self.strategy.timeframe, analyzed_df)
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(buy, sell, _) = self.strategy.get_signal(trade.pair, self.strategy.timeframe, analyzed_df)
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logger.debug('checking sell')
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logger.debug('checking sell')
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sell_rate = self.exchange.get_sell_rate(trade.pair, True)
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sell_rate = self.exchange.get_sell_rate(trade.pair, True)
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@ -47,6 +47,7 @@ def migrate_trades_table(decl_base, inspector, engine, table_back_name: str, col
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min_rate = get_column_def(cols, 'min_rate', 'null')
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min_rate = get_column_def(cols, 'min_rate', 'null')
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sell_reason = get_column_def(cols, 'sell_reason', 'null')
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sell_reason = get_column_def(cols, 'sell_reason', 'null')
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strategy = get_column_def(cols, 'strategy', 'null')
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strategy = get_column_def(cols, 'strategy', 'null')
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buy_signal_name = get_column_def(cols, 'buy_signal_name', 'null')
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# If ticker-interval existed use that, else null.
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# If ticker-interval existed use that, else null.
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if has_column(cols, 'ticker_interval'):
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if has_column(cols, 'ticker_interval'):
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timeframe = get_column_def(cols, 'timeframe', 'ticker_interval')
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timeframe = get_column_def(cols, 'timeframe', 'ticker_interval')
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@ -80,7 +81,7 @@ def migrate_trades_table(decl_base, inspector, engine, table_back_name: str, col
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stake_amount, amount, amount_requested, open_date, close_date, open_order_id,
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stake_amount, amount, amount_requested, open_date, close_date, open_order_id,
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stop_loss, stop_loss_pct, initial_stop_loss, initial_stop_loss_pct,
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stop_loss, stop_loss_pct, initial_stop_loss, initial_stop_loss_pct,
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stoploss_order_id, stoploss_last_update,
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stoploss_order_id, stoploss_last_update,
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max_rate, min_rate, sell_reason, sell_order_status, strategy,
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max_rate, min_rate, sell_reason, sell_order_status, strategy, buy_signal_name,
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timeframe, open_trade_value, close_profit_abs
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timeframe, open_trade_value, close_profit_abs
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)
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)
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select id, lower(exchange),
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select id, lower(exchange),
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@ -103,7 +104,7 @@ def migrate_trades_table(decl_base, inspector, engine, table_back_name: str, col
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{stoploss_order_id} stoploss_order_id, {stoploss_last_update} stoploss_last_update,
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{stoploss_order_id} stoploss_order_id, {stoploss_last_update} stoploss_last_update,
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{max_rate} max_rate, {min_rate} min_rate, {sell_reason} sell_reason,
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{max_rate} max_rate, {min_rate} min_rate, {sell_reason} sell_reason,
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{sell_order_status} sell_order_status,
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{sell_order_status} sell_order_status,
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{strategy} strategy, {timeframe} timeframe,
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{strategy} strategy, {buy_signal_name} buy_signal_name, {timeframe} timeframe,
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{open_trade_value} open_trade_value, {close_profit_abs} close_profit_abs
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{open_trade_value} open_trade_value, {close_profit_abs} close_profit_abs
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from {table_back_name}
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from {table_back_name}
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"""))
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"""))
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@ -160,7 +161,7 @@ def check_migrate(engine, decl_base, previous_tables) -> None:
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table_back_name = get_backup_name(tabs, 'trades_bak')
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table_back_name = get_backup_name(tabs, 'trades_bak')
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# Check for latest column
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# Check for latest column
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if not has_column(cols, 'open_trade_value'):
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if not has_column(cols, 'open_trade_value') or not has_column(cols, 'buy_signal_name'):
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logger.info(f'Running database migration for trades - backup: {table_back_name}')
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logger.info(f'Running database migration for trades - backup: {table_back_name}')
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migrate_trades_table(decl_base, inspector, engine, table_back_name, cols)
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migrate_trades_table(decl_base, inspector, engine, table_back_name, cols)
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# Reread columns - the above recreated the table!
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# Reread columns - the above recreated the table!
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@ -37,15 +37,20 @@ def test_returns_latest_signal(mocker, default_conf, ohlcv_history):
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mocked_history['buy'] = 0
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mocked_history['buy'] = 0
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mocked_history.loc[1, 'sell'] = 1
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mocked_history.loc[1, 'sell'] = 1
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, True)
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, True, '')
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mocked_history.loc[1, 'sell'] = 0
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mocked_history.loc[1, 'sell'] = 0
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mocked_history.loc[1, 'buy'] = 1
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mocked_history.loc[1, 'buy'] = 1
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (True, False)
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (True, False, '')
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mocked_history.loc[1, 'sell'] = 0
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mocked_history.loc[1, 'sell'] = 0
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mocked_history.loc[1, 'buy'] = 0
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mocked_history.loc[1, 'buy'] = 0
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, False)
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, False, '')
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mocked_history.loc[1, 'sell'] = 0
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mocked_history.loc[1, 'buy'] = 1
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mocked_history.loc[1, 'buy_signal_name'] = 'buy_signal_01'
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (True, False, 'buy_signal_01')
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def test_analyze_pair_empty(default_conf, mocker, caplog, ohlcv_history):
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def test_analyze_pair_empty(default_conf, mocker, caplog, ohlcv_history):
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@ -62,15 +67,15 @@ def test_analyze_pair_empty(default_conf, mocker, caplog, ohlcv_history):
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def test_get_signal_empty(default_conf, mocker, caplog):
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def test_get_signal_empty(default_conf, mocker, caplog):
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assert (False, False) == _STRATEGY.get_signal('foo', default_conf['timeframe'], DataFrame())
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assert (False, False, '') == _STRATEGY.get_signal('foo', default_conf['timeframe'], DataFrame())
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assert log_has('Empty candle (OHLCV) data for pair foo', caplog)
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assert log_has('Empty candle (OHLCV) data for pair foo', caplog)
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caplog.clear()
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caplog.clear()
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assert (False, False) == _STRATEGY.get_signal('bar', default_conf['timeframe'], None)
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assert (False, False, '') == _STRATEGY.get_signal('bar', default_conf['timeframe'], None)
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assert log_has('Empty candle (OHLCV) data for pair bar', caplog)
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assert log_has('Empty candle (OHLCV) data for pair bar', caplog)
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caplog.clear()
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caplog.clear()
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assert (False, False) == _STRATEGY.get_signal('baz', default_conf['timeframe'], DataFrame([]))
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assert (False, False, '') == _STRATEGY.get_signal('baz', default_conf['timeframe'], DataFrame([]))
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assert log_has('Empty candle (OHLCV) data for pair baz', caplog)
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assert log_has('Empty candle (OHLCV) data for pair baz', caplog)
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@ -106,7 +111,7 @@ def test_get_signal_old_dataframe(default_conf, mocker, caplog, ohlcv_history):
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caplog.set_level(logging.INFO)
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caplog.set_level(logging.INFO)
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mocker.patch.object(_STRATEGY, 'assert_df')
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mocker.patch.object(_STRATEGY, 'assert_df')
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assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'], mocked_history)
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assert (False, False, '') == _STRATEGY.get_signal('xyz', default_conf['timeframe'], mocked_history)
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assert log_has('Outdated history for pair xyz. Last tick is 16 minutes old', caplog)
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assert log_has('Outdated history for pair xyz. Last tick is 16 minutes old', caplog)
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@ -736,7 +736,7 @@ def test_process_informative_pairs_added(default_conf, ticker, mocker) -> None:
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refresh_latest_ohlcv=refresh_mock,
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refresh_latest_ohlcv=refresh_mock,
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)
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)
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inf_pairs = MagicMock(return_value=[("BTC/ETH", '1m'), ("ETH/USDT", "1h")])
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inf_pairs = MagicMock(return_value=[("BTC/ETH", '1m'), ("ETH/USDT", "1h")])
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mocker.patch('freqtrade.strategy.interface.IStrategy.get_signal', return_value=(False, False))
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mocker.patch('freqtrade.strategy.interface.IStrategy.get_signal', return_value=(False, False, ''))
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mocker.patch('time.sleep', return_value=None)
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mocker.patch('time.sleep', return_value=None)
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freqtrade = FreqtradeBot(default_conf)
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freqtrade = FreqtradeBot(default_conf)
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