load_trades_db should give as many columns as possible
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@ -81,19 +81,30 @@ def load_trades_from_db(db_url: str) -> pd.DataFrame:
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"""
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trades: pd.DataFrame = pd.DataFrame([], columns=BT_DATA_COLUMNS)
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persistence.init(db_url, clean_open_orders=False)
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columns = ["pair", "profit", "open_time", "close_time",
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"open_rate", "close_rate", "duration", "sell_reason",
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"max_rate", "min_rate"]
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trades = pd.DataFrame([(t.pair, t.calc_profit(),
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columns = ["pair", "open_time", "close_time", "profit", "profitperc",
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"open_rate", "close_rate", "amount", "duration", "sell_reason",
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"fee_open", "fee_close", "open_rate_requested", "close_rate_requested",
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"stake_amount", "max_rate", "min_rate", "id", "exchange",
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"stop_loss", "initial_stop_loss", "strategy", "ticker_interval"]
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trades = pd.DataFrame([(t.pair,
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t.open_date.replace(tzinfo=pytz.UTC),
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t.close_date.replace(tzinfo=pytz.UTC) if t.close_date else None,
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t.open_rate, t.close_rate,
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t.calc_profit(), t.calc_profit_percent(),
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t.open_rate, t.close_rate, t.amount,
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t.close_date.timestamp() - t.open_date.timestamp()
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if t.close_date else None,
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t.sell_reason,
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t.fee_open, t.fee_close,
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t.open_rate_requested,
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t.close_rate_requested,
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t.stake_amount,
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t.max_rate,
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t.min_rate,
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t.id, t.exchange,
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t.stop_loss, t.initial_stop_loss,
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t.strategy, t.ticker_interval
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)
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for t in Trade.query.all()],
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columns=columns)
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@ -45,6 +45,11 @@ def test_load_trades_db(default_conf, fee, mocker):
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assert isinstance(trades, DataFrame)
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assert "pair" in trades.columns
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assert "open_time" in trades.columns
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assert "profitperc" in trades.columns
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for col in BT_DATA_COLUMNS:
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if col not in ['index', 'open_at_end']:
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assert col in trades.columns
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def test_extract_trades_of_period():
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