How to use the freqtrade.strategy.interface.SellType function in freqtrade

def hyperopt_results():
    return pd.DataFrame(
        {
            'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
            'profit_percent': [-0.1, 0.2, 0.3],
            'profit_abs': [-0.2, 0.4, 0.6],
            'trade_duration': [10, 30, 10],
            'sell_reason': [SellType.STOP_LOSS, SellType.ROI, SellType.ROI]
        }

trades=[]
)

# Two complete trades within dataframe(with sell hit for all)
tc1 = BTContainer(data=[
    # D  O     H     L     C     V    B  S
    [0, 5000, 5025, 4975, 4987, 6172, 1, 0],
    [1, 5000, 5025, 4975, 4987, 6172, 0, 1],  # enter trade (signal on last candle)
    [2, 5000, 5025, 4975, 4987, 6172, 0, 0],  # exit at open
    [3, 5000, 5025, 4975, 4987, 6172, 1, 0],  # no action
    [4, 5000, 5025, 4975, 4987, 6172, 0, 0],  # should enter the trade
    [5, 5000, 5025, 4975, 4987, 6172, 0, 1],  # no action
    [6, 5000, 5025, 4975, 4987, 6172, 0, 0],  # should sell
],
    stop_loss=-0.99, roi={"0": float('inf')}, profit_perc=0.00,
    trades=[BTrade(sell_reason=SellType.SELL_SIGNAL, open_tick=1, close_tick=2),
            BTrade(sell_reason=SellType.SELL_SIGNAL, open_tick=4, close_tick=6)]
)

# 3) Entered, sl 1%, candle drops 8% => Trade closed, 1% loss
tc2 = BTContainer(data=[
    # D  O     H     L     C     V    B  S
    [0, 5000, 5025, 4975, 4987, 6172, 1, 0],
    [1, 5000, 5025, 4600, 4987, 6172, 0, 0],  # enter trade, stoploss hit
    [2, 5000, 5025, 4975, 4987, 6172, 0, 0],
],
    stop_loss=-0.01, roi={"0": float('inf')}, profit_perc=-0.01,
    trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=1)]
)

# 4) Entered, sl 3 %, candle drops 4%, recovers to 1 % = > Trade closed, 3 % loss
tc3 = BTContainer(data=[

"cost": 0.0,
        "average": 0.0,
        "filled": 0.0,
        "remaining": 0.0,
        "status": "open",
        "fee": None,
        "trades": None
    }
    stoploss_order_closed = stoploss_order_open.copy()
    stoploss_order_closed['status'] = 'closed'
    # Sell first trade based on stoploss, keep 2nd and 3rd trade open
    stoploss_order_mock = MagicMock(
        side_effect=[stoploss_order_closed, stoploss_order_open, stoploss_order_open])
    # Sell 3rd trade (not called for the first trade)
    should_sell_mock = MagicMock(side_effect=[
        SellCheckTuple(sell_flag=False, sell_type=SellType.NONE),
        SellCheckTuple(sell_flag=True, sell_type=SellType.SELL_SIGNAL)]
    )
    cancel_order_mock = MagicMock()
    mocker.patch('freqtrade.exchange.Binance.stoploss_limit', stoploss_limit)
    mocker.patch.multiple(
        'freqtrade.exchange.Exchange',
        get_ticker=ticker,
        get_fee=fee,
        symbol_amount_prec=lambda s, x, y: y,
        symbol_price_prec=lambda s, x, y: y,
        get_order=stoploss_order_mock,
        cancel_order=cancel_order_mock,
    )

    mocker.patch.multiple(
        'freqtrade.freqtradebot.FreqtradeBot',

def test_generate_text_table_sell_reason(default_conf, mocker):
    patch_exchange(mocker)
    backtesting = Backtesting(default_conf)

    results = pd.DataFrame(
        {
            'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
            'profit_percent': [0.1, 0.2, -0.3],
            'profit_abs': [0.2, 0.4, -0.5],
            'trade_duration': [10, 30, 10],
            'profit': [2, 0, 0],
            'loss': [0, 0, 1],
            'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
        }
    )

    result_str = (
        '| Sell Reason   |   Count |   Profit |   Loss |\n'
        '|:--------------|--------:|---------:|-------:|\n'
        '| roi           |       2 |        2 |      0 |\n'
        '| stop_loss     |       1 |        0 |      1 |'
    )
    assert backtesting._generate_text_table_sell_reason(
        data={'ETH/BTC': {}}, results=results) == result_str

#############################################

    # Create a trade with "limit_buy_order" price
    freqtrade = FreqtradeBot(edge_conf)
    freqtrade.active_pair_whitelist = ['NEO/BTC']
    patch_get_signal(freqtrade)
    freqtrade.strategy.min_roi_reached = MagicMock(return_value=False)
    freqtrade.create_trades()
    trade = Trade.query.first()
    trade.update(limit_buy_order)
    #############################################

    # stoploss shoud be hit
    assert freqtrade.handle_trade(trade) is True
    assert log_has('executed sell, reason: SellType.STOP_LOSS', caplog)
    assert trade.sell_reason == SellType.STOP_LOSS.value

:return: True if the order succeeded, and False in case of problems.
        """
        # Limit price threshold: As limit price should always be below stop-price
        LIMIT_PRICE_PCT = self.strategy.order_types.get('stoploss_on_exchange_limit_ratio', 0.99)

        try:
            stoploss_order = self.exchange.stoploss_limit(pair=trade.pair, amount=trade.amount,
                                                          stop_price=stop_price,
                                                          rate=rate * LIMIT_PRICE_PCT)
            trade.stoploss_order_id = str(stoploss_order['id'])
            return True
        except InvalidOrderException as e:
            trade.stoploss_order_id = None
            logger.error(f'Unable to place a stoploss order on exchange. {e}')
            logger.warning('Selling the trade forcefully')
            self.execute_sell(trade, trade.stop_loss, sell_reason=SellType.EMERGENCY_SELL)

        except DependencyException:
            trade.stoploss_order_id = None
            logger.exception('Unable to place a stoploss order on exchange.')
        return False

# Don't update stoploss if trailing_only_offset_is_reached is true.
            if not (self.trailing_only_offset_is_reached and high_profit < sl_offset):
                # Specific handling for trailing_stop_positive
                if self.trailing_stop_positive is not None and high_profit > sl_offset:
                    stop_loss_value = self.trailing_stop_positive
                    logger.debug(f"{trade.pair} - Using positive stoploss: {stop_loss_value} "
                                 f"offset: {sl_offset:.4g} profit: {current_profit:.4f}%")

                trade.adjust_stop_loss(high or current_rate, stop_loss_value)

        # evaluate if the stoploss was hit if stoploss is not on exchange
        if ((self.stoploss is not None) and
            (trade.stop_loss >= current_rate) and
                (not self.order_types.get('stoploss_on_exchange'))):

            sell_type = SellType.STOP_LOSS

            # If initial stoploss is not the same as current one then it is trailing.
            if trade.initial_stop_loss != trade.stop_loss:
                sell_type = SellType.TRAILING_STOP_LOSS
                logger.debug(
                    f"{trade.pair} - HIT STOP: current price at {current_rate:.6f}, "
                    f"stoploss is {trade.stop_loss:.6f}, "
                    f"initial stoploss was at {trade.initial_stop_loss:.6f}, "
                    f"trade opened at {trade.open_rate:.6f}")
                logger.debug(f"{trade.pair} - Trailing stop saved "
                             f"{trade.stop_loss - trade.initial_stop_loss:.6f}")

            return SellCheckTuple(sell_flag=True, sell_type=sell_type)

        return SellCheckTuple(sell_flag=False, sell_type=SellType.NONE)

sell_type = SellType.STOP_LOSS

            # If initial stoploss is not the same as current one then it is trailing.
            if trade.initial_stop_loss != trade.stop_loss:
                sell_type = SellType.TRAILING_STOP_LOSS
                logger.debug(
                    f"{trade.pair} - HIT STOP: current price at {current_rate:.6f}, "
                    f"stoploss is {trade.stop_loss:.6f}, "
                    f"initial stoploss was at {trade.initial_stop_loss:.6f}, "
                    f"trade opened at {trade.open_rate:.6f}")
                logger.debug(f"{trade.pair} - Trailing stop saved "
                             f"{trade.stop_loss - trade.initial_stop_loss:.6f}")

            return SellCheckTuple(sell_flag=True, sell_type=sell_type)

        return SellCheckTuple(sell_flag=False, sell_type=SellType.NONE)

stop_loss_value = self.trailing_stop_positive
                    logger.debug(f"{trade.pair} - Using positive stoploss: {stop_loss_value} "
                                 f"offset: {sl_offset:.4g} profit: {current_profit:.4f}%")

                trade.adjust_stop_loss(high or current_rate, stop_loss_value)

        # evaluate if the stoploss was hit if stoploss is not on exchange
        if ((self.stoploss is not None) and
            (trade.stop_loss >= current_rate) and
                (not self.order_types.get('stoploss_on_exchange'))):

            sell_type = SellType.STOP_LOSS

            # If initial stoploss is not the same as current one then it is trailing.
            if trade.initial_stop_loss != trade.stop_loss:
                sell_type = SellType.TRAILING_STOP_LOSS
                logger.debug(
                    f"{trade.pair} - HIT STOP: current price at {current_rate:.6f}, "
                    f"stoploss is {trade.stop_loss:.6f}, "
                    f"initial stoploss was at {trade.initial_stop_loss:.6f}, "
                    f"trade opened at {trade.open_rate:.6f}")
                logger.debug(f"{trade.pair} - Trailing stop saved "
                             f"{trade.stop_loss - trade.initial_stop_loss:.6f}")

            return SellCheckTuple(sell_flag=True, sell_type=sell_type)

        return SellCheckTuple(sell_flag=False, sell_type=SellType.NONE)