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Merge pull request #3857 from freqtrade/arrow_deprecation_timestamp

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Convert timestamp to int_timestamp for all arrow occurances
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Matthias 2020-11-02 16:40:43 +01:00 committed by GitHub
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13 changed files with 49 additions and 49 deletions
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5
freqtrade/commands/data_commands.py
View File

@ -1,10 +1,9 @@
import logging
import sys
from collections import defaultdict
from datetime import datetime, timedelta
from typing import Any, Dict, List
import arrow
from freqtrade.configuration import TimeRange, setup_utils_configuration
from freqtrade.data.converter import convert_ohlcv_format, convert_trades_format
from freqtrade.data.history import (convert_trades_to_ohlcv, refresh_backtest_ohlcv_data,
@ -29,7 +28,7 @@ def start_download_data(args: Dict[str, Any]) -> None:
"You can only specify one or the other.")
timerange = TimeRange()
if 'days' in config:
time_since = arrow.utcnow().shift(days=-config['days']).strftime("%Y%m%d")
time_since = (datetime.now() - timedelta(days=config['days'])).strftime("%Y%m%d")
timerange = TimeRange.parse_timerange(f'{time_since}-')
if 'timerange' in config:

8
freqtrade/configuration/timerange.py
View File

@ -52,11 +52,11 @@ class TimeRange:
:return: None (Modifies the object in place)
"""
if (not self.starttype or (startup_candles
and min_date.timestamp >= self.startts)):
and min_date.int_timestamp >= self.startts)):
# If no startts was defined, or backtest-data starts at the defined backtest-date
logger.warning("Moving start-date by %s candles to account for startup time.",
startup_candles)
self.startts = (min_date.timestamp + timeframe_secs * startup_candles)
self.startts = (min_date.int_timestamp + timeframe_secs * startup_candles)
self.starttype = 'date'
@staticmethod
@ -89,7 +89,7 @@ class TimeRange:
if stype[0]:
starts = rvals[index]
if stype[0] == 'date' and len(starts) == 8:
start = arrow.get(starts, 'YYYYMMDD').timestamp
start = arrow.get(starts, 'YYYYMMDD').int_timestamp
elif len(starts) == 13:
start = int(starts) // 1000
else:
@ -98,7 +98,7 @@ class TimeRange:
if stype[1]:
stops = rvals[index]
if stype[1] == 'date' and len(stops) == 8:
stop = arrow.get(stops, 'YYYYMMDD').timestamp
stop = arrow.get(stops, 'YYYYMMDD').int_timestamp
elif len(stops) == 13:
stop = int(stops) // 1000
else:

3
freqtrade/data/dataprovider.py
View File

@ -8,7 +8,6 @@ import logging
from datetime import datetime, timezone
from typing import Any, Dict, List, Optional, Tuple
from arrow import Arrow
from pandas import DataFrame
from freqtrade.constants import ListPairsWithTimeframes, PairWithTimeframe
@ -38,7 +37,7 @@ class DataProvider:
:param timeframe: Timeframe to get data for
:param dataframe: analyzed dataframe
"""
self.__cached_pairs[(pair, timeframe)] = (dataframe, Arrow.utcnow().datetime)
self.__cached_pairs[(pair, timeframe)] = (dataframe, datetime.now(timezone.utc))
def add_pairlisthandler(self, pairlists) -> None:
"""

4
freqtrade/edge/edge_positioning.py
View File

@ -87,7 +87,7 @@ class Edge:
heartbeat = self.edge_config.get('process_throttle_secs')
if (self._last_updated > 0) and (
self._last_updated + heartbeat > arrow.utcnow().timestamp):
self._last_updated + heartbeat > arrow.utcnow().int_timestamp):
return False
data: Dict[str, Any] = {}
@ -146,7 +146,7 @@ class Edge:
# Fill missing, calculable columns, profit, duration , abs etc.
trades_df = self._fill_calculable_fields(DataFrame(trades))
self._cached_pairs = self._process_expectancy(trades_df)
self._last_updated = arrow.utcnow().timestamp
self._last_updated = arrow.utcnow().int_timestamp
return True

12
freqtrade/exchange/exchange.py
View File

@ -291,7 +291,7 @@ class Exchange:
try:
self._api.load_markets()
self._load_async_markets()
self._last_markets_refresh = arrow.utcnow().timestamp
self._last_markets_refresh = arrow.utcnow().int_timestamp
except ccxt.BaseError as e:
logger.warning('Unable to initialize markets. Reason: %s', e)
@ -300,14 +300,14 @@ class Exchange:
# Check whether markets have to be reloaded
if (self._last_markets_refresh > 0) and (
self._last_markets_refresh + self.markets_refresh_interval
> arrow.utcnow().timestamp):
> arrow.utcnow().int_timestamp):
return None
logger.debug("Performing scheduled market reload..")
try:
self._api.load_markets(reload=True)
# Also reload async markets to avoid issues with newly listed pairs
self._load_async_markets(reload=True)
self._last_markets_refresh = arrow.utcnow().timestamp
self._last_markets_refresh = arrow.utcnow().int_timestamp
except ccxt.BaseError:
logger.exception("Could not reload markets.")
@ -501,7 +501,7 @@ class Exchange:
'side': side,
'remaining': _amount,
'datetime': arrow.utcnow().isoformat(),
'timestamp': int(arrow.utcnow().timestamp * 1000),
'timestamp': int(arrow.utcnow().int_timestamp * 1000),
'status': "closed" if ordertype == "market" else "open",
'fee': None,
'info': {}
@ -699,7 +699,7 @@ class Exchange:
)
input_coroutines = [self._async_get_candle_history(
pair, timeframe, since) for since in
range(since_ms, arrow.utcnow().timestamp * 1000, one_call)]
range(since_ms, arrow.utcnow().int_timestamp * 1000, one_call)]
results = await asyncio.gather(*input_coroutines, return_exceptions=True)
@ -766,7 +766,7 @@ class Exchange:
interval_in_sec = timeframe_to_seconds(timeframe)
return not ((self._pairs_last_refresh_time.get((pair, timeframe), 0)
+ interval_in_sec) >= arrow.utcnow().timestamp)
+ interval_in_sec) >= arrow.utcnow().int_timestamp)
@retrier_async
async def _async_get_candle_history(self, pair: str, timeframe: str,

4
freqtrade/optimize/optimize_reports.py
View File

@ -268,9 +268,9 @@ def generate_backtest_stats(btdata: Dict[str, DataFrame],
'profit_total': results['profit_percent'].sum(),
'profit_total_abs': results['profit_abs'].sum(),
'backtest_start': min_date.datetime,
'backtest_start_ts': min_date.timestamp * 1000,
'backtest_start_ts': min_date.int_timestamp * 1000,
'backtest_end': max_date.datetime,
'backtest_end_ts': max_date.timestamp * 1000,
'backtest_end_ts': max_date.int_timestamp * 1000,
'backtest_days': backtest_days,
'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else 0,

4
freqtrade/wallets.py
View File

@ -108,13 +108,13 @@ class Wallets:
for trading operations, the latest balance is needed.
:param require_update: Allow skipping an update if balances were recently refreshed
"""
if (require_update or (self._last_wallet_refresh + 3600 < arrow.utcnow().timestamp)):
if (require_update or (self._last_wallet_refresh + 3600 < arrow.utcnow().int_timestamp)):
if self._config['dry_run']:
self._update_dry()
else:
self._update_live()
logger.info('Wallets synced.')
self._last_wallet_refresh = arrow.utcnow().timestamp
self._last_wallet_refresh = arrow.utcnow().int_timestamp
def get_all_balances(self) -> Dict[str, Any]:
return self._wallets

2
setup.py
View File

@ -69,7 +69,7 @@ setup(name='freqtrade',
'ccxt>=1.24.96',
'SQLAlchemy',
'python-telegram-bot',
'arrow',
'arrow>=0.17.0',
'cachetools',
'requests',
'urllib3',

5
tests/commands/test_commands.py
View File

@ -601,7 +601,7 @@ def test_download_data_timerange(mocker, caplog, markets):
start_download_data(get_args(args))
assert dl_mock.call_count == 1
# 20days ago
days_ago = arrow.get(arrow.utcnow().shift(days=-20).date()).timestamp
days_ago = arrow.get(arrow.utcnow().shift(days=-20).date()).int_timestamp
assert dl_mock.call_args_list[0][1]['timerange'].startts == days_ago
dl_mock.reset_mock()
@ -614,7 +614,8 @@ def test_download_data_timerange(mocker, caplog, markets):
start_download_data(get_args(args))
assert dl_mock.call_count == 1
assert dl_mock.call_args_list[0][1]['timerange'].startts == arrow.Arrow(2020, 1, 1).timestamp
assert dl_mock.call_args_list[0][1]['timerange'].startts == arrow.Arrow(
2020, 1, 1).int_timestamp
def test_download_data_no_markets(mocker, caplog):

12
tests/conftest.py
View File

@ -792,7 +792,7 @@ def limit_buy_order_open():
'side': 'buy',
'symbol': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().timestamp,
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001099,
'amount': 90.99181073,
'filled': 0.0,
@ -911,7 +911,7 @@ def limit_buy_order_canceled_empty(request):
'info': {},
'id': '1234512345',
'clientOrderId': None,
'timestamp': arrow.utcnow().shift(minutes=-601).timestamp,
'timestamp': arrow.utcnow().shift(minutes=-601).int_timestamp,
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'lastTradeTimestamp': None,
'symbol': 'LTC/USDT',
@ -932,7 +932,7 @@ def limit_buy_order_canceled_empty(request):
'info': {},
'id': 'AZNPFF-4AC4N-7MKTAT',
'clientOrderId': None,
'timestamp': arrow.utcnow().shift(minutes=-601).timestamp,
'timestamp': arrow.utcnow().shift(minutes=-601).int_timestamp,
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'lastTradeTimestamp': None,
'status': 'canceled',
@ -953,7 +953,7 @@ def limit_buy_order_canceled_empty(request):
'info': {},
'id': '1234512345',
'clientOrderId': 'alb1234123',
'timestamp': arrow.utcnow().shift(minutes=-601).timestamp,
'timestamp': arrow.utcnow().shift(minutes=-601).int_timestamp,
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'lastTradeTimestamp': None,
'symbol': 'LTC/USDT',
@ -974,7 +974,7 @@ def limit_buy_order_canceled_empty(request):
'info': {},
'id': '1234512345',
'clientOrderId': 'alb1234123',
'timestamp': arrow.utcnow().shift(minutes=-601).timestamp,
'timestamp': arrow.utcnow().shift(minutes=-601).int_timestamp,
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
'lastTradeTimestamp': None,
'symbol': 'LTC/USDT',
@ -1000,7 +1000,7 @@ def limit_sell_order_open():
'side': 'sell',
'pair': 'mocked',
'datetime': arrow.utcnow().isoformat(),
'timestamp': arrow.utcnow().timestamp,
'timestamp': arrow.utcnow().int_timestamp,
'price': 0.00001173,
'amount': 90.99181073,
'filled': 0.0,

4
tests/data/test_history.py
View File

@ -323,7 +323,7 @@ def test_load_partial_missing(testdatadir, caplog) -> None:
start = arrow.get('2018-01-01T00:00:00')
end = arrow.get('2018-01-11T00:00:00')
data = load_data(testdatadir, '5m', ['UNITTEST/BTC'], startup_candles=20,
timerange=TimeRange('date', 'date', start.timestamp, end.timestamp))
timerange=TimeRange('date', 'date', start.int_timestamp, end.int_timestamp))
assert log_has(
'Using indicator startup period: 20 ...', caplog
)
@ -339,7 +339,7 @@ def test_load_partial_missing(testdatadir, caplog) -> None:
start = arrow.get('2018-01-10T00:00:00')
end = arrow.get('2018-02-20T00:00:00')
data = load_data(datadir=testdatadir, timeframe='5m', pairs=['UNITTEST/BTC'],
timerange=TimeRange('date', 'date', start.timestamp, end.timestamp))
timerange=TimeRange('date', 'date', start.int_timestamp, end.int_timestamp))
# timedifference in 5 minutes
td = ((end - start).total_seconds() // 60 // 5) + 1
assert td != len(data['UNITTEST/BTC'])

12
tests/edge/test_edge.py
View File

@ -50,7 +50,7 @@ def _build_dataframe(buy_ohlc_sell_matrice):
'date': tests_start_time.shift(
minutes=(
ohlc[0] *
timeframe_in_minute)).timestamp *
timeframe_in_minute)).int_timestamp *
1000,
'buy': ohlc[1],
'open': ohlc[2],
@ -71,7 +71,7 @@ def _build_dataframe(buy_ohlc_sell_matrice):
def _time_on_candle(number):
return np.datetime64(tests_start_time.shift(
minutes=(number * timeframe_in_minute)).timestamp * 1000, 'ms')
minutes=(number * timeframe_in_minute)).int_timestamp * 1000, 'ms')
# End helper functions
@ -251,7 +251,7 @@ def test_edge_heartbeat_calculate(mocker, edge_conf):
heartbeat = edge_conf['edge']['process_throttle_secs']
# should not recalculate if heartbeat not reached
edge._last_updated = arrow.utcnow().timestamp - heartbeat + 1
edge._last_updated = arrow.utcnow().int_timestamp - heartbeat + 1
assert edge.calculate() is False
@ -263,7 +263,7 @@ def mocked_load_data(datadir, pairs=[], timeframe='0m',
NEOBTC = [
[
tests_start_time.shift(minutes=(x * timeframe_in_minute)).timestamp * 1000,
tests_start_time.shift(minutes=(x * timeframe_in_minute)).int_timestamp * 1000,
math.sin(x * hz) / 1000 + base,
math.sin(x * hz) / 1000 + base + 0.0001,
math.sin(x * hz) / 1000 + base - 0.0001,
@ -275,7 +275,7 @@ def mocked_load_data(datadir, pairs=[], timeframe='0m',
base = 0.002
LTCBTC = [
[
tests_start_time.shift(minutes=(x * timeframe_in_minute)).timestamp * 1000,
tests_start_time.shift(minutes=(x * timeframe_in_minute)).int_timestamp * 1000,
math.sin(x * hz) / 1000 + base,
math.sin(x * hz) / 1000 + base + 0.0001,
math.sin(x * hz) / 1000 + base - 0.0001,
@ -299,7 +299,7 @@ def test_edge_process_downloaded_data(mocker, edge_conf):
assert edge.calculate()
assert len(edge._cached_pairs) == 2
assert edge._last_updated <= arrow.utcnow().timestamp + 2
assert edge._last_updated <= arrow.utcnow().int_timestamp + 2
def test_edge_process_no_data(mocker, edge_conf, caplog):

23
tests/exchange/test_exchange.py
View File

@ -393,7 +393,7 @@ def test_reload_markets(default_conf, mocker, caplog):
exchange = get_patched_exchange(mocker, default_conf, api_mock, id="binance",
mock_markets=False)
exchange._load_async_markets = MagicMock()
exchange._last_markets_refresh = arrow.utcnow().timestamp
exchange._last_markets_refresh = arrow.utcnow().int_timestamp
updated_markets = {'ETH/BTC': {}, "LTC/BTC": {}}
assert exchange.markets == initial_markets
@ -404,7 +404,7 @@ def test_reload_markets(default_conf, mocker, caplog):
assert exchange._load_async_markets.call_count == 0
# more than 10 minutes have passed, reload is executed
exchange._last_markets_refresh = arrow.utcnow().timestamp - 15 * 60
exchange._last_markets_refresh = arrow.utcnow().int_timestamp - 15 * 60
exchange.reload_markets()
assert exchange.markets == updated_markets
assert exchange._load_async_markets.call_count == 1
@ -1272,7 +1272,7 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
ohlcv = [
[
arrow.utcnow().timestamp * 1000, # unix timestamp ms
arrow.utcnow().int_timestamp * 1000, # unix timestamp ms
1, # open
2, # high
3, # low
@ -1289,7 +1289,8 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
# one_call calculation * 1.8 should do 2 calls
since = 5 * 60 * exchange._ft_has['ohlcv_candle_limit'] * 1.8
ret = exchange.get_historic_ohlcv(pair, "5m", int((arrow.utcnow().timestamp - since) * 1000))
ret = exchange.get_historic_ohlcv(pair, "5m", int((
arrow.utcnow().int_timestamp - since) * 1000))
assert exchange._async_get_candle_history.call_count == 2
# Returns twice the above OHLCV data
@ -1308,7 +1309,7 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
ohlcv = [
[
(arrow.utcnow().timestamp - 1) * 1000, # unix timestamp ms
(arrow.utcnow().int_timestamp - 1) * 1000, # unix timestamp ms
1, # open
2, # high
3, # low
@ -1316,7 +1317,7 @@ def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
5, # volume (in quote currency)
],
[
arrow.utcnow().timestamp * 1000, # unix timestamp ms
arrow.utcnow().int_timestamp * 1000, # unix timestamp ms
3, # open
1, # high
4, # low
@ -1362,7 +1363,7 @@ def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_name):
ohlcv = [
[
arrow.utcnow().timestamp * 1000, # unix timestamp ms
arrow.utcnow().int_timestamp * 1000, # unix timestamp ms
1, # open
2, # high
3, # low
@ -1397,14 +1398,14 @@ async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.BaseError("Unknown error"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
await exchange._async_get_candle_history(pair, "5m",
(arrow.utcnow().timestamp - 2000) * 1000)
(arrow.utcnow().int_timestamp - 2000) * 1000)
with pytest.raises(OperationalException, match=r'Exchange.* does not support fetching '
r'historical candle \(OHLCV\) data\..*'):
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.NotSupported("Not supported"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
await exchange._async_get_candle_history(pair, "5m",
(arrow.utcnow().timestamp - 2000) * 1000)
(arrow.utcnow().int_timestamp - 2000) * 1000)
@pytest.mark.asyncio
@ -1650,13 +1651,13 @@ async def test__async_fetch_trades(default_conf, mocker, caplog, exchange_name,
with pytest.raises(OperationalException, match=r'Could not fetch trade data*'):
api_mock.fetch_trades = MagicMock(side_effect=ccxt.BaseError("Unknown error"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
await exchange._async_fetch_trades(pair, since=(arrow.utcnow().timestamp - 2000) * 1000)
await exchange._async_fetch_trades(pair, since=(arrow.utcnow().int_timestamp - 2000) * 1000)
with pytest.raises(OperationalException, match=r'Exchange.* does not support fetching '
r'historical trade data\..*'):
api_mock.fetch_trades = MagicMock(side_effect=ccxt.NotSupported("Not supported"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
await exchange._async_fetch_trades(pair, since=(arrow.utcnow().timestamp - 2000) * 1000)
await exchange._async_fetch_trades(pair, since=(arrow.utcnow().int_timestamp - 2000) * 1000)
@pytest.mark.asyncio