Get min/max data in list-data command

This commit is contained in:
Matthias 2022-08-19 13:44:31 +02:00
parent 7d84ef2e2c
commit b7553d20d4
6 changed files with 69 additions and 13 deletions

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@ -69,7 +69,7 @@ ARGS_CONVERT_DATA_OHLCV = ARGS_CONVERT_DATA + ["timeframes", "exchange", "tradin
ARGS_CONVERT_TRADES = ["pairs", "timeframes", "exchange", "dataformat_ohlcv", "dataformat_trades"]
ARGS_LIST_DATA = ["exchange", "dataformat_ohlcv", "pairs", "trading_mode"]
ARGS_LIST_DATA = ["exchange", "dataformat_ohlcv", "pairs", "trading_mode", "show_timerange"]
ARGS_DOWNLOAD_DATA = ["pairs", "pairs_file", "days", "new_pairs_days", "include_inactive",
"timerange", "download_trades", "exchange", "timeframes",

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@ -434,6 +434,11 @@ AVAILABLE_CLI_OPTIONS = {
help='Storage format for downloaded trades data. (default: `jsongz`).',
choices=constants.AVAILABLE_DATAHANDLERS,
),
"show_timerange": Arg(
'--show-timerange',
help='Show timerange available for available data. (May take a while to calculate).',
action='store_true',
),
"exchange": Arg(
'--exchange',
help=f'Exchange name (default: `{constants.DEFAULT_EXCHANGE}`). '

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@ -5,6 +5,7 @@ from datetime import datetime, timedelta
from typing import Any, Dict, List
from freqtrade.configuration import TimeRange, setup_utils_configuration
from freqtrade.constants import DATETIME_PRINT_FORMAT
from freqtrade.data.converter import convert_ohlcv_format, convert_trades_format
from freqtrade.data.history import (convert_trades_to_ohlcv, refresh_backtest_ohlcv_data,
refresh_backtest_trades_data)
@ -177,17 +178,31 @@ def start_list_data(args: Dict[str, Any]) -> None:
paircombs = [comb for comb in paircombs if comb[0] in args['pairs']]
print(f"Found {len(paircombs)} pair / timeframe combinations.")
groupedpair = defaultdict(list)
for pair, timeframe, candle_type in sorted(
paircombs,
key=lambda x: (x[0], timeframe_to_minutes(x[1]), x[2])
):
groupedpair[(pair, candle_type)].append(timeframe)
if not config.get('show_timerange'):
groupedpair = defaultdict(list)
for pair, timeframe, candle_type in sorted(
paircombs,
key=lambda x: (x[0], timeframe_to_minutes(x[1]), x[2])
):
groupedpair[(pair, candle_type)].append(timeframe)
if groupedpair:
if groupedpair:
print(tabulate([
(pair, ', '.join(timeframes), candle_type)
for (pair, candle_type), timeframes in groupedpair.items()
],
headers=("Pair", "Timeframe", "Type"),
tablefmt='psql', stralign='right'))
else:
paircombs1 = [(
pair, timeframe, candle_type,
*dhc.ohlcv_data_min_max(pair, timeframe, candle_type)
) for pair, timeframe, candle_type in paircombs]
print(tabulate([
(pair, ', '.join(timeframes), candle_type)
for (pair, candle_type), timeframes in groupedpair.items()
],
headers=("Pair", "Timeframe", "Type"),
(pair, timeframe, candle_type,
start.strftime(DATETIME_PRINT_FORMAT),
end.strftime(DATETIME_PRINT_FORMAT))
for pair, timeframe, candle_type, start, end in paircombs1
],
headers=("Pair", "Timeframe", "Type", 'From', 'To'),
tablefmt='psql', stralign='right'))

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@ -426,6 +426,9 @@ class Configuration:
self._args_to_config(config, argname='dataformat_trades',
logstring='Using "{}" to store trades data.')
self._args_to_config(config, argname='show_timerange',
logstring='Detected --show-timerange')
def _process_data_options(self, config: Dict[str, Any]) -> None:
self._args_to_config(config, argname='new_pairs_days',
logstring='Detected --new-pairs-days: {}')

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@ -9,7 +9,7 @@ from abc import ABC, abstractmethod
from copy import deepcopy
from datetime import datetime, timezone
from pathlib import Path
from typing import List, Optional, Type
from typing import List, Optional, Tuple, Type
from pandas import DataFrame
@ -84,6 +84,18 @@ class IDataHandler(ABC):
:return: None
"""
def ohlcv_data_min_max(self, pair: str, timeframe: str,
candle_type: CandleType) -> Tuple[datetime, datetime]:
"""
Returns the min and max timestamp for the given pair and timeframe.
:param pair: Pair to get min/max for
:param timeframe: Timeframe to get min/max for
:param candle_type: Any of the enum CandleType (must match trading mode!)
:return: (min, max)
"""
data = self._ohlcv_load(pair, timeframe, None, candle_type)
return data.iloc[0]['date'].to_pydatetime(), data.iloc[-1]['date'].to_pydatetime()
@abstractmethod
def _ohlcv_load(self, pair: str, timeframe: str, timerange: Optional[TimeRange],
candle_type: CandleType

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@ -1430,6 +1430,27 @@ def test_start_list_data(testdatadir, capsys):
assert "\n| XRP/USDT | 1h | futures |\n" in captured.out
assert "\n| XRP/USDT | 1h, 8h | mark |\n" in captured.out
args = [
"list-data",
"--data-format-ohlcv",
"json",
"--pairs", "XRP/ETH",
"--datadir",
str(testdatadir),
"--show-timerange",
]
pargs = get_args(args)
pargs['config'] = None
start_list_data(pargs)
captured = capsys.readouterr()
assert "Found 2 pair / timeframe combinations." in captured.out
assert ("\n| Pair | Timeframe | Type | From | To |\n"
in captured.out)
assert "UNITTEST/BTC" not in captured.out
assert (
"\n| XRP/ETH | 1m | spot | 2019-10-11 00:00:00 | 2019-10-13 11:19:00 |\n"
in captured.out)
@pytest.mark.usefixtures("init_persistence")
def test_show_trades(mocker, fee, capsys, caplog):