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https://github.com/freqtrade/freqtrade.git
synced 2024-11-10 10:21:59 +00:00
Make ohlcv data endpoint work correctly with new interface
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parent
32a56bbd4a
commit
7a8978abbb
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@ -145,6 +145,8 @@ class OrderTypes(BaseModel):
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class ShowConfig(BaseModel):
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version: str
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dry_run: bool
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trading_mode: str
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short_allowed: bool
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stake_currency: str
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stake_amount: Union[float, str]
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available_capital: Optional[float]
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@ -339,6 +341,10 @@ class PairHistory(BaseModel):
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length: int
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buy_signals: int
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sell_signals: int
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enter_long_signals: int
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exit_long_signals: int
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enter_short_signals: int
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exit_short_signals: int
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last_analyzed: datetime
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last_analyzed_ts: int
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data_start_ts: int
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@ -108,6 +108,8 @@ class RPC:
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val = {
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'version': __version__,
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'dry_run': config['dry_run'],
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'trading_mode': config.get('trading_mode', 'spot'),
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'short_allowed': config.get('trading_mode', 'spot') != 'spot',
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'stake_currency': config['stake_currency'],
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'stake_currency_decimals': decimals_per_coin(config['stake_currency']),
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'stake_amount': config['stake_amount'],
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@ -909,20 +911,21 @@ class RPC:
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def _convert_dataframe_to_dict(strategy: str, pair: str, timeframe: str, dataframe: DataFrame,
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last_analyzed: datetime) -> Dict[str, Any]:
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has_content = len(dataframe) != 0
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buy_signals = 0
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sell_signals = 0
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signals = {
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'enter_long': 0,
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'exit_long': 0,
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'enter_short': 0,
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'exit_short': 0,
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}
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if has_content:
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dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].view(int64) // 1000 // 1000
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# Move signal close to separate column when signal for easy plotting
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if 'buy' in dataframe.columns:
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buy_mask = (dataframe['buy'] == 1)
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buy_signals = int(buy_mask.sum())
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dataframe.loc[buy_mask, '_buy_signal_close'] = dataframe.loc[buy_mask, 'close']
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if 'sell' in dataframe.columns:
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sell_mask = (dataframe['sell'] == 1)
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sell_signals = int(sell_mask.sum())
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dataframe.loc[sell_mask, '_sell_signal_close'] = dataframe.loc[sell_mask, 'close']
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for sig_type in signals.keys():
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if sig_type in dataframe.columns:
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mask = (dataframe[sig_type] == 1)
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signals[sig_type] = int(mask.sum())
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dataframe.loc[mask, f'_{sig_type}_signal_close'] = dataframe.loc[mask, 'close']
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dataframe = dataframe.replace([inf, -inf], NAN)
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dataframe = dataframe.replace({NAN: None})
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@ -934,8 +937,12 @@ class RPC:
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'columns': list(dataframe.columns),
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'data': dataframe.values.tolist(),
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'length': len(dataframe),
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'buy_signals': buy_signals,
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'sell_signals': sell_signals,
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'buy_signals': signals['enter_long'], # Deprecated
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'sell_signals': signals['exit_long'], # Deprecated
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'enter_long_signals': signals['enter_long'],
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'exit_long_signals': signals['exit_long'],
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'enter_short_signals': signals['enter_short'],
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'exit_short_signals': signals['exit_short'],
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'last_analyzed': last_analyzed,
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'last_analyzed_ts': int(last_analyzed.timestamp()),
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'data_start': '',
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@ -527,18 +527,20 @@ def test_api_show_config(botclient):
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rc = client_get(client, f"{BASE_URI}/show_config")
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assert_response(rc)
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assert 'dry_run' in rc.json()
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assert rc.json()['exchange'] == 'binance'
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assert rc.json()['timeframe'] == '5m'
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assert rc.json()['timeframe_ms'] == 300000
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assert rc.json()['timeframe_min'] == 5
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assert rc.json()['state'] == 'running'
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assert rc.json()['bot_name'] == 'freqtrade'
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assert not rc.json()['trailing_stop']
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assert 'bid_strategy' in rc.json()
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assert 'ask_strategy' in rc.json()
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assert 'unfilledtimeout' in rc.json()
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assert 'version' in rc.json()
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response = rc.json()
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assert 'dry_run' in response
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assert response['exchange'] == 'binance'
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assert response['timeframe'] == '5m'
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assert response['timeframe_ms'] == 300000
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assert response['timeframe_min'] == 5
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assert response['state'] == 'running'
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assert response['bot_name'] == 'freqtrade'
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assert response['trading_mode'] == 'spot'
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assert not response['trailing_stop']
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assert 'bid_strategy' in response
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assert 'ask_strategy' in response
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assert 'unfilledtimeout' in response
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assert 'version' in response
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def test_api_daily(botclient, mocker, ticker, fee, markets):
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@ -1168,9 +1170,11 @@ def test_api_pair_candles(botclient, ohlcv_history):
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assert 'data_stop_ts' in rc.json()
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assert len(rc.json()['data']) == 0
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ohlcv_history['sma'] = ohlcv_history['close'].rolling(2).mean()
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ohlcv_history['buy'] = 0
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ohlcv_history.loc[1, 'buy'] = 1
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ohlcv_history['sell'] = 0
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ohlcv_history['enter_long'] = 0
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ohlcv_history.loc[1, 'enter_long'] = 1
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ohlcv_history['exit_long'] = 0
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ohlcv_history['enter_short'] = 0
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ohlcv_history['exit_short'] = 0
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ftbot.dataprovider._set_cached_df("XRP/BTC", timeframe, ohlcv_history)
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@ -1189,9 +1193,12 @@ def test_api_pair_candles(botclient, ohlcv_history):
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assert rc.json()['data_stop'] == '2017-11-26 09:00:00+00:00'
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assert rc.json()['data_stop_ts'] == 1511686800000
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assert isinstance(rc.json()['columns'], list)
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assert rc.json()['columns'] == ['date', 'open', 'high',
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'low', 'close', 'volume', 'sma', 'buy', 'sell',
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'__date_ts', '_buy_signal_close', '_sell_signal_close']
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assert set(rc.json()['columns']) == {
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'date', 'open', 'high', 'low', 'close', 'volume',
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'sma', 'enter_long', 'exit_long', 'enter_short', 'exit_short', '__date_ts',
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'_enter_long_signal_close', '_exit_long_signal_close',
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'_enter_short_signal_close', '_exit_short_signal_close'
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}
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assert 'pair' in rc.json()
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assert rc.json()['pair'] == 'XRP/BTC'
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@ -1200,12 +1207,12 @@ def test_api_pair_candles(botclient, ohlcv_history):
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assert (rc.json()['data'] ==
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[['2017-11-26 08:50:00', 8.794e-05, 8.948e-05, 8.794e-05, 8.88e-05, 0.0877869,
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None, 0, 0, 1511686200000, None, None],
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None, 0, 0, 0, 0, 1511686200000, None, None, None, None],
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['2017-11-26 08:55:00', 8.88e-05, 8.942e-05, 8.88e-05,
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8.893e-05, 0.05874751, 8.886500000000001e-05, 1, 0, 1511686500000, 8.893e-05,
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None],
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8.893e-05, 0.05874751, 8.886500000000001e-05, 1, 0, 0, 0, 1511686500000, 8.893e-05,
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None, None, None],
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['2017-11-26 09:00:00', 8.891e-05, 8.893e-05, 8.875e-05, 8.877e-05,
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0.7039405, 8.885e-05, 0, 0, 1511686800000, None, None]
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0.7039405, 8.885e-05, 0, 0, 0, 0, 1511686800000, None, None, None, None]
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])
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