stable/freqtrade/rpc/rpc.py

656 lines
26 KiB
Python
Raw Normal View History

2018-02-13 03:45:59 +00:00
"""
This module contains class to define a RPC communications
"""
2018-03-25 19:37:14 +00:00
import logging
from abc import abstractmethod
2019-11-12 12:54:26 +00:00
from datetime import date, datetime, timedelta
from enum import Enum
2019-11-12 13:58:41 +00:00
from math import isnan
2020-08-04 17:56:49 +00:00
from typing import Any, Dict, List, Optional, Tuple, Union
2018-03-17 21:44:47 +00:00
2018-03-02 15:22:00 +00:00
import arrow
2019-11-12 12:54:26 +00:00
from numpy import NAN, mean
2018-03-17 21:44:47 +00:00
from freqtrade.constants import CANCEL_REASON
from freqtrade.exceptions import ExchangeError, PricingError
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_msecs
from freqtrade.loggers import bufferHandler
2018-03-17 21:44:47 +00:00
from freqtrade.misc import shorten_date
2018-02-13 03:45:59 +00:00
from freqtrade.persistence import Trade
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
2018-02-13 03:45:59 +00:00
from freqtrade.state import State
2018-07-12 20:21:52 +00:00
from freqtrade.strategy.interface import SellType
2018-02-13 03:45:59 +00:00
2020-09-28 17:39:41 +00:00
2018-03-25 19:37:14 +00:00
logger = logging.getLogger(__name__)
class RPCMessageType(Enum):
STATUS_NOTIFICATION = 'status'
2018-08-15 02:39:32 +00:00
WARNING_NOTIFICATION = 'warning'
STARTUP_NOTIFICATION = 'startup'
BUY_NOTIFICATION = 'buy'
2020-02-08 20:02:52 +00:00
BUY_CANCEL_NOTIFICATION = 'buy_cancel'
SELL_NOTIFICATION = 'sell'
2020-02-08 20:02:52 +00:00
SELL_CANCEL_NOTIFICATION = 'sell_cancel'
def __repr__(self):
return self.value
2020-09-19 18:04:12 +00:00
def __str__(self):
return self.value
2018-06-08 02:52:50 +00:00
class RPCException(Exception):
"""
Should be raised with a rpc-formatted message in an _rpc_* method
if the required state is wrong, i.e.:
raise RPCException('*Status:* `no active trade`')
"""
2020-02-08 20:02:52 +00:00
def __init__(self, message: str) -> None:
super().__init__(self)
self.message = message
def __str__(self):
return self.message
2019-04-04 05:13:40 +00:00
def __json__(self):
return {
'msg': self.message
}
2018-06-08 02:52:50 +00:00
2019-09-12 01:39:52 +00:00
class RPC:
2018-02-13 03:45:59 +00:00
"""
RPC class can be used to have extra feature, like bot data, and access to DB data
"""
2018-07-24 22:08:40 +00:00
# Bind _fiat_converter if needed in each RPC handler
2018-07-22 12:35:29 +00:00
_fiat_converter: Optional[CryptoToFiatConverter] = None
2018-07-21 18:44:38 +00:00
2018-02-13 03:45:59 +00:00
def __init__(self, freqtrade) -> None:
"""
Initializes all enabled rpc modules
:param freqtrade: Instance of a freqtrade bot
:return: None
"""
2018-06-08 22:20:10 +00:00
self._freqtrade = freqtrade
2018-02-13 03:45:59 +00:00
@property
def name(self) -> str:
""" Returns the lowercase name of the implementation """
return self.__class__.__name__.lower()
@abstractmethod
2018-06-08 02:52:50 +00:00
def cleanup(self) -> None:
""" Cleanup pending module resources """
@abstractmethod
2018-06-24 22:04:27 +00:00
def send_msg(self, msg: Dict[str, str]) -> None:
""" Sends a message to all registered rpc modules """
2019-11-17 14:12:53 +00:00
def _rpc_show_config(self) -> Dict[str, Any]:
2019-11-17 13:56:08 +00:00
"""
Return a dict of config options.
Explicitly does NOT return the full config to avoid leakage of sensitive
information via rpc.
"""
config = self._freqtrade.config
val = {
'dry_run': config['dry_run'],
2019-11-17 13:56:08 +00:00
'stake_currency': config['stake_currency'],
'stake_amount': config['stake_amount'],
2020-05-05 19:19:35 +00:00
'max_open_trades': config['max_open_trades'],
2019-11-17 13:56:08 +00:00
'minimal_roi': config['minimal_roi'].copy(),
'stoploss': config['stoploss'],
'trailing_stop': config['trailing_stop'],
2019-11-17 14:12:53 +00:00
'trailing_stop_positive': config.get('trailing_stop_positive'),
'trailing_stop_positive_offset': config.get('trailing_stop_positive_offset'),
'trailing_only_offset_is_reached': config.get('trailing_only_offset_is_reached'),
'ticker_interval': config['timeframe'], # DEPRECATED
'timeframe': config['timeframe'],
'timeframe_ms': timeframe_to_msecs(config['timeframe']),
'timeframe_min': timeframe_to_minutes(config['timeframe']),
2019-11-17 13:56:08 +00:00
'exchange': config['exchange']['name'],
'strategy': config['strategy'],
'forcebuy_enabled': config.get('forcebuy_enable', False),
'ask_strategy': config.get('ask_strategy', {}),
'bid_strategy': config.get('bid_strategy', {}),
2020-05-05 19:19:35 +00:00
'state': str(self._freqtrade.state)
2019-11-17 13:56:08 +00:00
}
return val
def _rpc_trade_status(self) -> List[Dict[str, Any]]:
2018-02-13 03:45:59 +00:00
"""
Below follows the RPC backend it is prefixed with rpc_ to raise awareness that it is
a remotely exposed function
"""
# Fetch open trade
trades = Trade.get_open_trades()
if not trades:
raise RPCException('no active trade')
2018-02-13 03:45:59 +00:00
else:
results = []
2018-02-13 03:45:59 +00:00
for trade in trades:
order = None
if trade.open_order_id:
order = self._freqtrade.exchange.fetch_order(trade.open_order_id, trade.pair)
2018-02-13 03:45:59 +00:00
# calculate profit and send message to user
try:
current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
2020-06-28 14:01:40 +00:00
except (ExchangeError, PricingError):
current_rate = NAN
current_profit = trade.calc_profit_ratio(current_rate)
2020-06-04 04:56:59 +00:00
current_profit_abs = trade.calc_profit(current_rate)
# Calculate guaranteed profit (in case of trailing stop)
stoploss_entry_dist = trade.calc_profit(trade.stop_loss)
stoploss_entry_dist_ratio = trade.calc_profit_ratio(trade.stop_loss)
2020-06-04 04:56:59 +00:00
# calculate distance to stoploss
stoploss_current_dist = trade.stop_loss - current_rate
stoploss_current_dist_ratio = stoploss_current_dist / current_rate
2018-07-04 18:53:45 +00:00
fmt_close_profit = (f'{round(trade.close_profit * 100, 2):.2f}%'
2020-05-27 17:15:56 +00:00
if trade.close_profit is not None else None)
trade_dict = trade.to_json()
trade_dict.update(dict(
base_currency=self._freqtrade.config['stake_currency'],
2020-05-27 17:15:56 +00:00
close_profit=trade.close_profit if trade.close_profit is not None else None,
2020-05-26 17:25:03 +00:00
close_profit_pct=fmt_close_profit,
current_rate=current_rate,
2020-05-24 06:46:50 +00:00
current_profit=current_profit,
2020-05-26 17:25:03 +00:00
current_profit_pct=round(current_profit * 100, 2),
2020-06-04 04:56:59 +00:00
current_profit_abs=current_profit_abs,
stoploss_current_dist=stoploss_current_dist,
stoploss_current_dist_ratio=round(stoploss_current_dist_ratio, 8),
stoploss_current_dist_pct=round(stoploss_current_dist_ratio * 100, 2),
stoploss_entry_dist=stoploss_entry_dist,
stoploss_entry_dist_ratio=round(stoploss_entry_dist_ratio, 8),
open_order='({} {} rem={:.8f})'.format(
2019-04-03 18:28:03 +00:00
order['type'], order['side'], order['remaining']
) if order else None,
))
results.append(trade_dict)
return results
2018-02-13 03:45:59 +00:00
2020-02-02 04:00:40 +00:00
def _rpc_status_table(self, stake_currency: str,
fiat_display_currency: str) -> Tuple[List, List]:
trades = Trade.get_open_trades()
if not trades:
2019-12-29 18:51:47 +00:00
raise RPCException('no active trade')
2018-02-13 03:45:59 +00:00
else:
trades_list = []
for trade in trades:
# calculate profit and send message to user
try:
current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
2020-06-28 14:01:40 +00:00
except (PricingError, ExchangeError):
current_rate = NAN
2020-02-28 09:36:39 +00:00
trade_percent = (100 * trade.calc_profit_ratio(current_rate))
2019-11-12 13:58:41 +00:00
trade_profit = trade.calc_profit(current_rate)
2020-02-28 09:36:39 +00:00
profit_str = f'{trade_percent:.2f}%'
2019-11-12 13:58:41 +00:00
if self._fiat_converter:
fiat_profit = self._fiat_converter.convert_amount(
2020-02-08 20:02:52 +00:00
trade_profit,
stake_currency,
fiat_display_currency
)
2019-11-12 13:58:41 +00:00
if fiat_profit and not isnan(fiat_profit):
profit_str += f" ({fiat_profit:.2f})"
2018-02-13 03:45:59 +00:00
trades_list.append([
trade.id,
trade.pair + ('*' if (trade.open_order_id is not None
and trade.close_rate_requested is None) else '')
+ ('**' if (trade.close_rate_requested is not None) else ''),
2018-02-13 03:45:59 +00:00
shorten_date(arrow.get(trade.open_date).humanize(only_distance=True)),
2019-11-12 13:58:41 +00:00
profit_str
2018-02-13 03:45:59 +00:00
])
2019-11-12 13:58:41 +00:00
profitcol = "Profit"
if self._fiat_converter:
profitcol += " (" + fiat_display_currency + ")"
2018-03-02 15:22:00 +00:00
2019-11-12 13:58:41 +00:00
columns = ['ID', 'Pair', 'Since', profitcol]
2019-11-12 12:54:26 +00:00
return trades_list, columns
2018-02-13 03:45:59 +00:00
2018-06-08 02:52:50 +00:00
def _rpc_daily_profit(
self, timescale: int,
2020-05-17 18:18:35 +00:00
stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
2018-02-13 03:45:59 +00:00
today = datetime.utcnow().date()
2018-06-02 11:43:51 +00:00
profit_days: Dict[date, Dict] = {}
2018-03-02 15:22:00 +00:00
2018-02-13 03:45:59 +00:00
if not (isinstance(timescale, int) and timescale > 0):
raise RPCException('timescale must be an integer greater than 0')
2018-03-02 15:22:00 +00:00
2018-02-13 03:45:59 +00:00
for day in range(0, timescale):
profitday = today - timedelta(days=day)
2019-10-29 14:09:01 +00:00
trades = Trade.get_trades(trade_filter=[
Trade.is_open.is_(False),
Trade.close_date >= profitday,
Trade.close_date < (profitday + timedelta(days=1))
]).order_by(Trade.close_date).all()
curdayprofit = sum(
trade.close_profit_abs for trade in trades if trade.close_profit_abs is not None)
2018-02-13 03:45:59 +00:00
profit_days[profitday] = {
'amount': curdayprofit,
2018-02-13 03:45:59 +00:00
'trades': len(trades)
}
2018-03-02 15:22:00 +00:00
2020-05-17 18:12:01 +00:00
data = [
{
'date': key,
'abs_profit': value["amount"],
'fiat_value': self._fiat_converter.convert_amount(
2018-02-13 03:45:59 +00:00
value['amount'],
stake_currency,
fiat_display_currency
2018-07-21 18:44:38 +00:00
) if self._fiat_converter else 0,
'trade_count': value["trades"],
2020-05-17 18:12:01 +00:00
}
2018-02-13 03:45:59 +00:00
for key, value in profit_days.items()
]
2020-05-17 18:12:01 +00:00
return {
'stake_currency': stake_currency,
'fiat_display_currency': fiat_display_currency,
'data': data
}
2018-02-13 03:45:59 +00:00
2020-04-08 05:56:21 +00:00
def _rpc_trade_history(self, limit: int) -> Dict:
2020-04-05 14:14:02 +00:00
""" Returns the X last trades """
2020-04-06 09:00:31 +00:00
if limit > 0:
trades = Trade.get_trades([Trade.is_open.is_(False)]).order_by(
Trade.id.desc()).limit(limit)
2020-04-05 14:14:02 +00:00
else:
trades = Trade.get_trades([Trade.is_open.is_(False)]).order_by(Trade.id.desc()).all()
2020-04-05 14:14:02 +00:00
2020-04-08 05:56:21 +00:00
output = [trade.to_json() for trade in trades]
2020-04-05 14:14:02 +00:00
return {
2020-04-06 09:00:31 +00:00
"trades": output,
"trades_count": len(output)
2020-04-05 14:14:02 +00:00
}
2018-06-08 02:52:50 +00:00
def _rpc_trade_statistics(
self, stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
""" Returns cumulative profit statistics """
2019-10-29 14:09:01 +00:00
trades = Trade.get_trades().order_by(Trade.id).all()
2018-03-02 15:22:00 +00:00
2018-02-13 03:45:59 +00:00
profit_all_coin = []
2020-02-28 09:36:39 +00:00
profit_all_ratio = []
2018-02-13 03:45:59 +00:00
profit_closed_coin = []
2020-02-28 09:36:39 +00:00
profit_closed_ratio = []
2018-02-13 03:45:59 +00:00
durations = []
2020-06-24 04:43:19 +00:00
winning_trades = 0
losing_trades = 0
2018-03-02 15:22:00 +00:00
2018-02-13 03:45:59 +00:00
for trade in trades:
2018-06-02 11:43:51 +00:00
current_rate: float = 0.0
2018-03-02 15:22:00 +00:00
2018-02-13 03:45:59 +00:00
if not trade.open_rate:
continue
if trade.close_date:
durations.append((trade.close_date - trade.open_date).total_seconds())
2018-03-02 15:22:00 +00:00
2018-02-13 03:45:59 +00:00
if not trade.is_open:
profit_ratio = trade.close_profit
profit_closed_coin.append(trade.close_profit_abs)
2020-02-28 09:36:39 +00:00
profit_closed_ratio.append(profit_ratio)
2020-06-25 17:22:50 +00:00
if trade.close_profit >= 0:
2020-06-24 04:43:19 +00:00
winning_trades += 1
else:
losing_trades += 1
2018-02-13 03:45:59 +00:00
else:
# Get current rate
try:
current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
2020-06-28 14:01:40 +00:00
except (PricingError, ExchangeError):
current_rate = NAN
2020-02-28 09:36:39 +00:00
profit_ratio = trade.calc_profit_ratio(rate=current_rate)
2018-03-02 15:22:00 +00:00
profit_all_coin.append(
2019-11-12 14:11:31 +00:00
trade.calc_profit(rate=trade.close_rate or current_rate)
2018-03-02 15:22:00 +00:00
)
2020-02-28 09:36:39 +00:00
profit_all_ratio.append(profit_ratio)
2018-03-02 15:22:00 +00:00
2019-10-29 10:15:33 +00:00
best_pair = Trade.get_best_pair()
2018-03-02 15:22:00 +00:00
2018-02-13 03:45:59 +00:00
# Prepare data to display
profit_closed_coin_sum = round(sum(profit_closed_coin), 8)
2020-06-03 17:40:30 +00:00
profit_closed_ratio_mean = mean(profit_closed_ratio) if profit_closed_ratio else 0.0
profit_closed_ratio_sum = sum(profit_closed_ratio) if profit_closed_ratio else 0.0
2018-07-21 18:44:38 +00:00
profit_closed_fiat = self._fiat_converter.convert_amount(
profit_closed_coin_sum,
2018-02-13 03:45:59 +00:00
stake_currency,
fiat_display_currency
2018-07-21 18:44:38 +00:00
) if self._fiat_converter else 0
profit_all_coin_sum = round(sum(profit_all_coin), 8)
2020-06-03 17:40:30 +00:00
profit_all_ratio_mean = mean(profit_all_ratio) if profit_all_ratio else 0.0
profit_all_ratio_sum = sum(profit_all_ratio) if profit_all_ratio else 0.0
2018-07-21 18:44:38 +00:00
profit_all_fiat = self._fiat_converter.convert_amount(
profit_all_coin_sum,
2018-02-13 03:45:59 +00:00
stake_currency,
fiat_display_currency
2018-07-21 18:44:38 +00:00
) if self._fiat_converter else 0
first_date = trades[0].open_date if trades else None
last_date = trades[-1].open_date if trades else None
2018-02-13 03:45:59 +00:00
num = float(len(durations) or 1)
2018-06-08 02:52:50 +00:00
return {
'profit_closed_coin': profit_closed_coin_sum,
2020-06-03 17:40:30 +00:00
'profit_closed_percent': round(profit_closed_ratio_mean * 100, 2), # DEPRECATED
'profit_closed_percent_mean': round(profit_closed_ratio_mean * 100, 2),
'profit_closed_ratio_mean': profit_closed_ratio_mean,
'profit_closed_percent_sum': round(profit_closed_ratio_sum * 100, 2),
'profit_closed_ratio_sum': profit_closed_ratio_sum,
2018-06-08 02:52:50 +00:00
'profit_closed_fiat': profit_closed_fiat,
'profit_all_coin': profit_all_coin_sum,
2020-06-03 17:40:30 +00:00
'profit_all_percent': round(profit_all_ratio_mean * 100, 2), # DEPRECATED
'profit_all_percent_mean': round(profit_all_ratio_mean * 100, 2),
'profit_all_ratio_mean': profit_all_ratio_mean,
'profit_all_percent_sum': round(profit_all_ratio_sum * 100, 2),
'profit_all_ratio_sum': profit_all_ratio_sum,
2018-06-08 02:52:50 +00:00
'profit_all_fiat': profit_all_fiat,
'trade_count': len(trades),
'closed_trade_count': len([t for t in trades if not t.is_open]),
'first_trade_date': arrow.get(first_date).humanize() if first_date else '',
'first_trade_timestamp': int(first_date.timestamp() * 1000) if first_date else 0,
'latest_trade_date': arrow.get(last_date).humanize() if last_date else '',
'latest_trade_timestamp': int(last_date.timestamp() * 1000) if last_date else 0,
2018-06-08 02:52:50 +00:00
'avg_duration': str(timedelta(seconds=sum(durations) / num)).split('.')[0],
'best_pair': best_pair[0] if best_pair else '',
'best_rate': round(best_pair[1] * 100, 2) if best_pair else 0,
2020-06-24 04:43:19 +00:00
'winning_trades': winning_trades,
'losing_trades': losing_trades,
2018-06-08 02:52:50 +00:00
}
2019-11-15 05:33:07 +00:00
def _rpc_balance(self, stake_currency: str, fiat_display_currency: str) -> Dict:
2018-06-08 02:52:50 +00:00
""" Returns current account balance per crypto """
2018-02-13 03:45:59 +00:00
output = []
total = 0.0
2019-11-14 19:12:41 +00:00
try:
tickers = self._freqtrade.exchange.get_tickers()
2020-06-28 14:01:40 +00:00
except (ExchangeError):
2019-11-14 19:12:41 +00:00
raise RPCException('Error getting current tickers.')
2020-01-15 05:43:41 +00:00
self._freqtrade.wallets.update(require_update=False)
for coin, balance in self._freqtrade.wallets.get_all_balances().items():
if not balance.total:
2018-05-14 21:31:56 +00:00
continue
2019-11-15 05:33:07 +00:00
est_stake: float = 0
if coin == stake_currency:
2018-05-14 21:31:56 +00:00
rate = 1.0
est_stake = balance.total
2018-02-13 03:45:59 +00:00
else:
2018-08-08 19:55:48 +00:00
try:
2019-11-15 05:33:07 +00:00
pair = self._freqtrade.exchange.get_valid_pair_combination(coin, stake_currency)
rate = tickers.get(pair, {}).get('bid', None)
if rate:
if pair.startswith(stake_currency):
rate = 1.0 / rate
est_stake = rate * balance.total
2020-06-28 14:01:40 +00:00
except (ExchangeError):
logger.warning(f" Could not get rate for pair {coin}.")
2018-08-08 19:55:48 +00:00
continue
2019-11-15 05:33:07 +00:00
total = total + (est_stake or 0)
2018-06-22 02:08:51 +00:00
output.append({
'currency': coin,
'free': balance.free if balance.free is not None else 0,
'balance': balance.total if balance.total is not None else 0,
'used': balance.used if balance.used is not None else 0,
2019-11-15 05:33:07 +00:00
'est_stake': est_stake or 0,
'stake': stake_currency,
2018-06-22 02:08:51 +00:00
})
2018-05-14 21:31:56 +00:00
if total == 0.0:
if self._freqtrade.config['dry_run']:
raise RPCException('Running in Dry Run, balances are not available.')
else:
raise RPCException('All balances are zero.')
2018-05-14 21:31:56 +00:00
2018-02-13 03:45:59 +00:00
symbol = fiat_display_currency
value = self._fiat_converter.convert_amount(total, stake_currency,
2018-07-21 18:44:38 +00:00
symbol) if self._fiat_converter else 0
2018-06-22 02:08:51 +00:00
return {
'currencies': output,
'total': total,
'symbol': symbol,
'value': value,
'stake': stake_currency,
'note': 'Simulated balances' if self._freqtrade.config['dry_run'] else ''
2018-06-22 02:08:51 +00:00
}
2018-02-13 03:45:59 +00:00
def _rpc_start(self) -> Dict[str, str]:
2018-06-08 02:52:50 +00:00
""" Handler for start """
2018-06-08 22:20:10 +00:00
if self._freqtrade.state == State.RUNNING:
return {'status': 'already running'}
2018-03-02 15:22:00 +00:00
2018-06-08 22:20:10 +00:00
self._freqtrade.state = State.RUNNING
return {'status': 'starting trader ...'}
2018-02-13 03:45:59 +00:00
def _rpc_stop(self) -> Dict[str, str]:
2018-06-08 02:52:50 +00:00
""" Handler for stop """
2018-06-08 22:20:10 +00:00
if self._freqtrade.state == State.RUNNING:
self._freqtrade.state = State.STOPPED
return {'status': 'stopping trader ...'}
2018-03-02 15:22:00 +00:00
return {'status': 'already stopped'}
2018-02-13 03:45:59 +00:00
def _rpc_reload_config(self) -> Dict[str, str]:
""" Handler for reload_config. """
self._freqtrade.state = State.RELOAD_CONFIG
2020-09-05 14:44:23 +00:00
return {'status': 'Reloading config ...'}
def _rpc_stopbuy(self) -> Dict[str, str]:
"""
Handler to stop buying, but handle open trades gracefully.
"""
if self._freqtrade.state == State.RUNNING:
# Set 'max_open_trades' to 0
self._freqtrade.config['max_open_trades'] = 0
return {'status': 'No more buy will occur from now. Run /reload_config to reset.'}
2020-02-02 04:00:40 +00:00
def _rpc_forcesell(self, trade_id: str) -> Dict[str, str]:
2018-02-13 03:45:59 +00:00
"""
Handler for forcesell <id>.
Sells the given trade at current price
"""
def _exec_forcesell(trade: Trade) -> None:
2018-02-13 03:45:59 +00:00
# Check if there is there is an open order
fully_canceled = False
2018-02-13 03:45:59 +00:00
if trade.open_order_id:
order = self._freqtrade.exchange.fetch_order(trade.open_order_id, trade.pair)
2018-03-02 15:22:00 +00:00
if order['side'] == 'buy':
fully_canceled = self._freqtrade.handle_cancel_buy(
trade, order, CANCEL_REASON['FORCE_SELL'])
if order['side'] == 'sell':
# Cancel order - so it is placed anew with a fresh price.
self._freqtrade.handle_cancel_sell(trade, order, CANCEL_REASON['FORCE_SELL'])
if not fully_canceled:
# Get current rate and execute sell
current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
self._freqtrade.execute_sell(trade, current_rate, SellType.FORCE_SELL)
2018-02-13 03:45:59 +00:00
# ---- EOF def _exec_forcesell ----
2018-06-08 22:20:10 +00:00
if self._freqtrade.state != State.RUNNING:
raise RPCException('trader is not running')
2018-03-02 15:22:00 +00:00
with self._freqtrade._sell_lock:
if trade_id == 'all':
# Execute sell for all open orders
for trade in Trade.get_open_trades():
_exec_forcesell(trade)
Trade.session.flush()
self._freqtrade.wallets.update()
return {'result': 'Created sell orders for all open trades.'}
# Query for trade
trade = Trade.get_trades(
trade_filter=[Trade.id == trade_id, Trade.is_open.is_(True), ]
).first()
if not trade:
logger.warning('forcesell: Invalid argument received')
raise RPCException('invalid argument')
_exec_forcesell(trade)
2018-10-09 19:08:56 +00:00
Trade.session.flush()
2020-01-22 18:54:55 +00:00
self._freqtrade.wallets.update()
return {'result': f'Created sell order for trade {trade_id}.'}
2018-02-13 03:45:59 +00:00
2018-10-09 17:25:43 +00:00
def _rpc_forcebuy(self, pair: str, price: Optional[float]) -> Optional[Trade]:
"""
Handler for forcebuy <asset> <price>
Buys a pair trade at the given or current price
"""
if not self._freqtrade.config.get('forcebuy_enable', False):
raise RPCException('Forcebuy not enabled.')
if self._freqtrade.state != State.RUNNING:
raise RPCException('trader is not running')
# Check if pair quote currency equals to the stake currency.
2018-10-09 17:25:43 +00:00
stake_currency = self._freqtrade.config.get('stake_currency')
2020-02-25 06:16:37 +00:00
if not self._freqtrade.exchange.get_pair_quote_currency(pair) == stake_currency:
2018-10-09 17:25:43 +00:00
raise RPCException(
f'Wrong pair selected. Please pairs with stake {stake_currency} pairs only')
# check if valid pair
# check if pair already has an open pair
trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair == pair]).first()
2018-10-09 17:25:43 +00:00
if trade:
raise RPCException(f'position for {pair} already open - id: {trade.id}')
# gen stake amount
stakeamount = self._freqtrade.get_trade_stake_amount(pair)
2018-10-09 17:25:43 +00:00
# execute buy
if self._freqtrade.execute_buy(pair, stakeamount, price):
trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair == pair]).first()
2018-10-09 17:25:43 +00:00
return trade
else:
return None
2020-08-04 12:41:22 +00:00
2020-08-04 17:56:49 +00:00
def _rpc_delete(self, trade_id: str) -> Dict[str, Union[str, int]]:
2020-07-20 04:08:18 +00:00
"""
Handler for delete <id>.
Delete the given trade and close eventually existing open orders.
2020-07-20 04:08:18 +00:00
"""
with self._freqtrade._sell_lock:
c_count = 0
trade = Trade.get_trades(trade_filter=[Trade.id == trade_id]).first()
2020-07-20 04:08:18 +00:00
if not trade:
logger.warning('delete trade: Invalid argument received')
2020-07-20 04:08:18 +00:00
raise RPCException('invalid argument')
# Try cancelling regular order if that exists
if trade.open_order_id:
try:
self._freqtrade.exchange.cancel_order(trade.open_order_id, trade.pair)
c_count += 1
2020-08-12 12:25:50 +00:00
except (ExchangeError):
pass
# cancel stoploss on exchange ...
if (self._freqtrade.strategy.order_types.get('stoploss_on_exchange')
and trade.stoploss_order_id):
try:
self._freqtrade.exchange.cancel_stoploss_order(trade.stoploss_order_id,
trade.pair)
c_count += 1
2020-08-12 12:25:50 +00:00
except (ExchangeError):
pass
2020-09-06 12:27:36 +00:00
trade.delete()
2020-07-20 04:08:18 +00:00
self._freqtrade.wallets.update()
return {
'result': 'success',
'trade_id': trade_id,
'result_msg': f'Deleted trade {trade_id}. Closed {c_count} open orders.',
'cancel_order_count': c_count,
}
2018-10-09 17:25:43 +00:00
def _rpc_performance(self) -> List[Dict[str, Any]]:
2018-02-13 03:45:59 +00:00
"""
Handler for performance.
Shows a performance statistic from finished trades
"""
pair_rates = Trade.get_overall_performance()
# Round and convert to %
[x.update({'profit': round(x['profit'] * 100, 2)}) for x in pair_rates]
return pair_rates
2018-03-02 15:22:00 +00:00
2019-04-06 18:01:29 +00:00
def _rpc_count(self) -> Dict[str, float]:
2018-06-08 02:52:50 +00:00
""" Returns the number of trades running """
2018-06-08 22:20:10 +00:00
if self._freqtrade.state != State.RUNNING:
raise RPCException('trader is not running')
2018-03-02 15:22:00 +00:00
trades = Trade.get_open_trades()
return {
'current': len(trades),
2019-04-06 18:01:29 +00:00
'max': float(self._freqtrade.config['max_open_trades']),
'total_stake': sum((trade.open_rate * trade.amount) for trade in trades)
}
2018-11-10 19:07:09 +00:00
def _rpc_whitelist(self) -> Dict:
""" Returns the currently active whitelist"""
2019-11-09 13:00:32 +00:00
res = {'method': self._freqtrade.pairlists.name_list,
2019-03-24 15:08:48 +00:00
'length': len(self._freqtrade.active_pair_whitelist),
2018-11-10 19:07:09 +00:00
'whitelist': self._freqtrade.active_pair_whitelist
}
return res
2019-03-24 15:08:48 +00:00
def _rpc_blacklist(self, add: List[str] = None) -> Dict:
2019-03-24 15:08:48 +00:00
""" Returns the currently active blacklist"""
errors = {}
2019-03-24 15:28:14 +00:00
if add:
stake_currency = self._freqtrade.config.get('stake_currency')
for pair in add:
if self._freqtrade.exchange.get_pair_quote_currency(pair) == stake_currency:
if pair not in self._freqtrade.pairlists.blacklist:
self._freqtrade.pairlists.blacklist.append(pair)
else:
errors[pair] = {
'error_msg': f'Pair {pair} already in pairlist.'}
else:
errors[pair] = {
'error_msg': f"Pair {pair} does not match stake currency."
}
2019-03-24 15:28:14 +00:00
2019-11-09 13:00:32 +00:00
res = {'method': self._freqtrade.pairlists.name_list,
2019-03-24 15:08:48 +00:00
'length': len(self._freqtrade.pairlists.blacklist),
'blacklist': self._freqtrade.pairlists.blacklist,
'errors': errors,
2019-03-24 15:08:48 +00:00
}
return res
2019-03-25 09:16:09 +00:00
2020-08-15 06:15:18 +00:00
def _rpc_get_logs(self, limit: Optional[int]) -> Dict[str, Any]:
"""Returns the last X logs"""
if limit:
buffer = bufferHandler.buffer[-limit:]
else:
buffer = bufferHandler.buffer
2020-08-15 06:31:36 +00:00
records = [[datetime.fromtimestamp(r.created).strftime("%Y-%m-%d %H:%M:%S"),
r.created * 1000, r.name, r.levelname,
r.message + ('\n' + r.exc_text if r.exc_text else '')]
2020-08-14 17:36:12 +00:00
for r in buffer]
2020-08-27 12:41:31 +00:00
# Log format:
# [logtime-formatted, logepoch, logger-name, loglevel, message \n + exception]
# e.g. ["2020-08-27 11:35:01", 1598520901097.9397,
2020-08-27 12:41:31 +00:00
# "freqtrade.worker", "INFO", "Starting worker develop"]
return {'log_count': len(records), 'logs': records}
2019-03-25 09:16:09 +00:00
def _rpc_edge(self) -> List[Dict[str, Any]]:
2019-03-24 21:36:33 +00:00
""" Returns information related to Edge """
if not self._freqtrade.edge:
raise RPCException('Edge is not enabled.')
2019-04-03 12:14:47 +00:00
return self._freqtrade.edge.accepted_pairs()