rpc.py
Added RPCExcpetion if trades is empty on trade.query api_server Return e on exception created server 500 error. Returned text for client, and sent e to logger Added profit and status table functions. Will look to add unit tests for these two
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@@ -5,14 +5,12 @@ import logging
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from abc import abstractmethod
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from datetime import datetime, timedelta, date
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from decimal import Decimal
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from typing import Dict, Any, List
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from typing import Dict, List, Any
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import arrow
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import sqlalchemy as sql
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from numpy import mean, nan_to_num
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from pandas import DataFrame
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from freqtrade.misc import shorten_date
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from freqtrade.persistence import Trade
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from freqtrade.state import State
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@@ -51,20 +49,20 @@ class RPC(object):
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"""
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self._freqtrade = freqtrade
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@property
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def name(self) -> str:
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""" Returns the lowercase name of the implementation """
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return self.__class__.__name__.lower()
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@abstractmethod
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def cleanup(self) -> None:
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""" Cleanup pending module resources """
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@property
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@abstractmethod
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def name(self) -> str:
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""" Returns the lowercase name of this module """
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@abstractmethod
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def send_msg(self, msg: str) -> None:
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def send_msg(self, msg: Dict[str, str]) -> None:
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""" Sends a message to all registered rpc modules """
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def _rpc_trade_status(self) -> List[str]:
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def _rpc_trade_status(self) -> List[Dict]:
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"""
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Below follows the RPC backend it is prefixed with rpc_ to raise awareness that it is
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a remotely exposed function
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@@ -76,7 +74,7 @@ class RPC(object):
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elif not trades:
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raise RPCException('no active trade')
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else:
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result = []
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results = []
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for trade in trades:
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order = None
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if trade.open_order_id:
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@@ -87,56 +85,23 @@ class RPC(object):
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fmt_close_profit = '{:.2f}%'.format(
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round(trade.close_profit * 100, 2)
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) if trade.close_profit else None
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message = "*Trade ID:* `{trade_id}`\n" \
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"*Current Pair:* [{pair}]({market_url})\n" \
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"*Open Since:* `{date}`\n" \
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"*Amount:* `{amount}`\n" \
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"*Open Rate:* `{open_rate:.8f}`\n" \
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"*Close Rate:* `{close_rate}`\n" \
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"*Current Rate:* `{current_rate:.8f}`\n" \
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"*Close Profit:* `{close_profit}`\n" \
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"*Current Profit:* `{current_profit:.2f}%`\n" \
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"*Open Order:* `{open_order}`"\
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.format(
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trade_id=trade.id,
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pair=trade.pair,
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market_url=self._freqtrade.exchange.get_pair_detail_url(trade.pair),
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date=arrow.get(trade.open_date).humanize(),
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open_rate=trade.open_rate,
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close_rate=trade.close_rate,
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current_rate=current_rate,
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amount=round(trade.amount, 8),
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close_profit=fmt_close_profit,
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current_profit=round(current_profit * 100, 2),
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open_order='({} {} rem={:.8f})'.format(
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order['type'], order['side'], order['remaining']
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) if order else None,
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)
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result.append(message)
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return result
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def _rpc_status_table(self) -> DataFrame:
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trades = Trade.query.filter(Trade.is_open.is_(True)).all()
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if self._freqtrade.state != State.RUNNING:
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raise RPCException('trader is not running')
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elif not trades:
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raise RPCException('no active order')
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else:
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trades_list = []
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for trade in trades:
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# calculate profit and send message to user
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current_rate = self._freqtrade.exchange.get_ticker(trade.pair, False)['bid']
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trades_list.append([
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trade.id,
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trade.pair,
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shorten_date(arrow.get(trade.open_date).humanize(only_distance=True)),
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'{:.2f}%'.format(100 * trade.calc_profit_percent(current_rate))
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])
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columns = ['ID', 'Pair', 'Since', 'Profit']
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df_statuses = DataFrame.from_records(trades_list, columns=columns)
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df_statuses = df_statuses.set_index(columns[0])
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return df_statuses
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results.append(dict(
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trade_id=trade.id,
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pair=trade.pair,
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market_url=self._freqtrade.exchange.get_pair_detail_url(trade.pair),
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open_date=arrow.get(trade.open_date),
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open_rate=trade.open_rate,
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close_rate=trade.close_rate,
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current_rate=current_rate,
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amount=round(trade.amount, 8),
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close_profit=fmt_close_profit,
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current_profit=round(current_profit * 100, 2),
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open_order='({} {} rem={:.8f})'.format(
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order['type'], order['side'], order['remaining']
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) if order else None,
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))
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return results
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def _rpc_daily_profit(
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self, timescale: int,
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@@ -190,6 +155,9 @@ class RPC(object):
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""" Returns cumulative profit statistics """
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trades = Trade.query.order_by(Trade.id).all()
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if not trades:
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raise RPCException('No trades found')
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profit_all_coin = []
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profit_all_percent = []
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profit_closed_coin = []
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