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@ -5,6 +5,7 @@ from freqtrade.exchange.exchange import Exchange
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# isort: on
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from freqtrade.exchange.bibox import Bibox
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from freqtrade.exchange.binance import Binance
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from freqtrade.exchange.bitpanda import Bitpanda
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from freqtrade.exchange.bittrex import Bittrex
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from freqtrade.exchange.bybit import Bybit
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from freqtrade.exchange.coinbasepro import Coinbasepro
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37
freqtrade/exchange/bitpanda.py
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37
freqtrade/exchange/bitpanda.py
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@ -0,0 +1,37 @@
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""" Bitpanda exchange subclass """
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import logging
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from datetime import datetime, timezone
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from typing import Dict, List, Optional
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from freqtrade.exchange import Exchange
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logger = logging.getLogger(__name__)
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class Bitpanda(Exchange):
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"""
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Bitpanda exchange class. Contains adjustments needed for Freqtrade to work
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with this exchange.
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"""
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def get_trades_for_order(self, order_id: str, pair: str, since: datetime,
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params: Optional[Dict] = None) -> List:
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"""
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Fetch Orders using the "fetch_my_trades" endpoint and filter them by order-id.
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The "since" argument passed in is coming from the database and is in UTC,
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as timezone-native datetime object.
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From the python documentation:
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> Naive datetime instances are assumed to represent local time
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Therefore, calling "since.timestamp()" will get the UTC timestamp, after applying the
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transformation from local timezone to UTC.
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This works for timezones UTC+ since then the result will contain trades from a few hours
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instead of from the last 5 seconds, however fails for UTC- timezones,
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since we're then asking for trades with a "since" argument in the future.
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:param order_id order_id: Order-id as given when creating the order
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:param pair: Pair the order is for
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:param since: datetime object of the order creation time. Assumes object is in UTC.
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"""
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params = {'to': int(datetime.now(timezone.utc).timestamp() * 1000)}
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return super().get_trades_for_order(order_id, pair, since, params)
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@ -1091,7 +1091,8 @@ class Exchange:
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# Fee handling
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@retrier
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def get_trades_for_order(self, order_id: str, pair: str, since: datetime) -> List:
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def get_trades_for_order(self, order_id: str, pair: str, since: datetime,
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params: Optional[Dict] = None) -> List:
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"""
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Fetch Orders using the "fetch_my_trades" endpoint and filter them by order-id.
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The "since" argument passed in is coming from the database and is in UTC,
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@ -1115,8 +1116,10 @@ class Exchange:
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try:
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# Allow 5s offset to catch slight time offsets (discovered in #1185)
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# since needs to be int in milliseconds
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_params = params if params else {}
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my_trades = self._api.fetch_my_trades(
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pair, int((since.replace(tzinfo=timezone.utc).timestamp() - 5) * 1000))
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pair, int((since.replace(tzinfo=timezone.utc).timestamp() - 5) * 1000),
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params=_params)
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matched_trades = [trade for trade in my_trades if trade['order'] == order_id]
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self._log_exchange_response('get_trades_for_order', matched_trades)
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47
tests/exchange/test_bitpanda.py
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tests/exchange/test_bitpanda.py
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from datetime import datetime
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from unittest.mock import MagicMock
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from tests.conftest import get_patched_exchange
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def test_get_trades_for_order(default_conf, mocker):
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exchange_name = 'bitpanda'
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order_id = 'ABCD-ABCD'
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since = datetime(2018, 5, 5, 0, 0, 0)
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default_conf["dry_run"] = False
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mocker.patch('freqtrade.exchange.Exchange.exchange_has', return_value=True)
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api_mock = MagicMock()
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api_mock.fetch_my_trades = MagicMock(return_value=[{'id': 'TTR67E-3PFBD-76IISV',
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'order': 'ABCD-ABCD',
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'info': {'pair': 'XLTCZBTC',
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'time': 1519860024.4388,
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'type': 'buy',
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'ordertype': 'limit',
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'price': '20.00000',
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'cost': '38.62000',
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'fee': '0.06179',
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'vol': '5',
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'id': 'ABCD-ABCD'},
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'timestamp': 1519860024438,
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'datetime': '2018-02-28T23:20:24.438Z',
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'symbol': 'LTC/BTC',
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'type': 'limit',
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'side': 'buy',
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'price': 165.0,
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'amount': 0.2340606,
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'fee': {'cost': 0.06179, 'currency': 'BTC'}
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}])
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exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
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orders = exchange.get_trades_for_order(order_id, 'LTC/BTC', since)
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assert len(orders) == 1
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assert orders[0]['price'] == 165
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assert api_mock.fetch_my_trades.call_count == 1
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# since argument should be
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assert isinstance(api_mock.fetch_my_trades.call_args[0][1], int)
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assert api_mock.fetch_my_trades.call_args[0][0] == 'LTC/BTC'
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# Same test twice, hardcoded number and doing the same calculation
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assert api_mock.fetch_my_trades.call_args[0][1] == 1525478395000
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# bitpanda requires "to" argument.
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assert 'to' in api_mock.fetch_my_trades.call_args[1]['params']
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