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https://github.com/freqtrade/freqtrade.git
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feat: Implement rich Progress to download-data
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@@ -5,6 +5,14 @@ from pathlib import Path
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from typing import Dict, List, Optional, Tuple
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from pandas import DataFrame, concat
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from rich.progress import (
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BarColumn,
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MofNCompleteColumn,
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TaskProgressColumn,
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TextColumn,
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TimeElapsedColumn,
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TimeRemainingColumn,
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)
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from freqtrade.configuration import TimeRange
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from freqtrade.constants import (
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@@ -29,6 +37,7 @@ from freqtrade.plugins.pairlist.pairlist_helpers import dynamic_expand_pairlist
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from freqtrade.util import dt_ts, format_ms_time
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from freqtrade.util.datetime_helpers import dt_now
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from freqtrade.util.migrations import migrate_data
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from freqtrade.util.rich_progress import CustomProgress
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logger = logging.getLogger(__name__)
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@@ -155,11 +164,9 @@ def refresh_data(
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:param candle_type: Any of the enum CandleType (must match trading mode!)
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"""
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data_handler = get_datahandler(datadir, data_format)
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for idx, pair in enumerate(pairs):
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process = f"{idx}/{len(pairs)}"
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for pair in pairs:
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_download_pair_history(
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pair=pair,
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process=process,
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timeframe=timeframe,
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datadir=datadir,
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timerange=timerange,
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@@ -223,7 +230,6 @@ def _download_pair_history(
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datadir: Path,
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exchange: Exchange,
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timeframe: str = "5m",
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process: str = "",
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new_pairs_days: int = 30,
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data_handler: Optional[IDataHandler] = None,
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timerange: Optional[TimeRange] = None,
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@@ -261,7 +267,7 @@ def _download_pair_history(
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)
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logger.info(
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f'({process}) - Download history data for "{pair}", {timeframe}, '
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f'Download history data for "{pair}", {timeframe}, '
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f"{candle_type} and store in {datadir}. "
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f'From {format_ms_time(since_ms) if since_ms else "start"} to '
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f'{format_ms_time(until_ms) if until_ms else "now"}'
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@@ -345,53 +351,75 @@ def refresh_backtest_ohlcv_data(
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pairs_not_available = []
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data_handler = get_datahandler(datadir, data_format)
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candle_type = CandleType.get_default(trading_mode)
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process = ""
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for idx, pair in enumerate(pairs, start=1):
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if pair not in exchange.markets:
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pairs_not_available.append(pair)
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logger.info(f"Skipping pair {pair}...")
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continue
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for timeframe in timeframes:
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logger.debug(f"Downloading pair {pair}, {candle_type}, interval {timeframe}.")
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process = f"{idx}/{len(pairs)}"
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_download_pair_history(
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pair=pair,
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process=process,
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datadir=datadir,
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exchange=exchange,
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timerange=timerange,
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data_handler=data_handler,
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timeframe=str(timeframe),
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new_pairs_days=new_pairs_days,
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candle_type=candle_type,
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erase=erase,
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prepend=prepend,
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)
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if trading_mode == "futures":
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# Predefined candletype (and timeframe) depending on exchange
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# Downloads what is necessary to backtest based on futures data.
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tf_mark = exchange.get_option("mark_ohlcv_timeframe")
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tf_funding_rate = exchange.get_option("funding_fee_timeframe")
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with CustomProgress(
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TextColumn("[progress.description]{task.description}"),
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BarColumn(bar_width=None),
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MofNCompleteColumn(),
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TaskProgressColumn(),
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"•",
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TimeElapsedColumn(),
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"•",
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TimeRemainingColumn(),
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expand=True,
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) as progress:
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tf_length = len(timeframes) if trading_mode != "futures" else len(timeframes) + 2
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timeframe_task = progress.add_task("Timeframe", total=tf_length)
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pair_task = progress.add_task("Downloading data...", total=len(pairs))
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fr_candle_type = CandleType.from_string(exchange.get_option("mark_ohlcv_price"))
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# All exchanges need FundingRate for futures trading.
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# The timeframe is aligned to the mark-price timeframe.
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combs = ((CandleType.FUNDING_RATE, tf_funding_rate), (fr_candle_type, tf_mark))
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for candle_type_f, tf in combs:
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logger.debug(f"Downloading pair {pair}, {candle_type_f}, interval {tf}.")
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for pair in pairs:
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progress.update(pair_task, description=f"Downloading {pair}")
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progress.update(timeframe_task, completed=0)
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if pair not in exchange.markets:
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pairs_not_available.append(pair)
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logger.info(f"Skipping pair {pair}...")
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continue
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for timeframe in timeframes:
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progress.update(timeframe_task, description=f"Timeframe {timeframe}")
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logger.debug(f"Downloading pair {pair}, {candle_type}, interval {timeframe}.")
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_download_pair_history(
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pair=pair,
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process=process,
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datadir=datadir,
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exchange=exchange,
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timerange=timerange,
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data_handler=data_handler,
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timeframe=str(tf),
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timeframe=str(timeframe),
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new_pairs_days=new_pairs_days,
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candle_type=candle_type_f,
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candle_type=candle_type,
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erase=erase,
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prepend=prepend,
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)
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progress.update(timeframe_task, advance=1)
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if trading_mode == "futures":
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# Predefined candletype (and timeframe) depending on exchange
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# Downloads what is necessary to backtest based on futures data.
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tf_mark = exchange.get_option("mark_ohlcv_timeframe")
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tf_funding_rate = exchange.get_option("funding_fee_timeframe")
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fr_candle_type = CandleType.from_string(exchange.get_option("mark_ohlcv_price"))
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# All exchanges need FundingRate for futures trading.
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# The timeframe is aligned to the mark-price timeframe.
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combs = ((CandleType.FUNDING_RATE, tf_funding_rate), (fr_candle_type, tf_mark))
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for candle_type_f, tf in combs:
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logger.debug(f"Downloading pair {pair}, {candle_type_f}, interval {tf}.")
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_download_pair_history(
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pair=pair,
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datadir=datadir,
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exchange=exchange,
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timerange=timerange,
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data_handler=data_handler,
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timeframe=str(tf),
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new_pairs_days=new_pairs_days,
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candle_type=candle_type_f,
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erase=erase,
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prepend=prepend,
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)
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progress.update(
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timeframe_task, advance=1, description=f"Timeframe {candle_type_f}, {tf}"
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)
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progress.update(pair_task, advance=1)
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progress.update(timeframe_task, description="Timeframe")
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return pairs_not_available
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@@ -151,9 +151,7 @@ def test_load_data_with_new_pair_1min(
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)
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load_pair_history(datadir=tmp_path, timeframe="1m", pair="MEME/BTC", candle_type=candle_type)
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assert file.is_file()
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assert log_has_re(
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r'\(0/1\) - Download history data for "MEME/BTC", 1m, ' r"spot and store in .*", caplog
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)
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assert log_has_re(r'Download history data for "MEME/BTC", 1m, ' r"spot and store in .*", caplog)
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def test_testdata_path(testdatadir) -> None:
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