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feat: Update list-pairs command to use rich tables

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Matthias
2024-07-06 21:00:34 +02:00
parent c296a8cf82
commit 9f628309e9
2 changed files with 39 additions and 49 deletions
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61
freqtrade/commands/data_commands.py
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@@ -16,6 +16,7 @@ from freqtrade.exceptions import ConfigurationError
from freqtrade.exchange import timeframe_to_minutes
from freqtrade.plugins.pairlist.pairlist_helpers import dynamic_expand_pairlist
from freqtrade.resolvers import ExchangeResolver
from freqtrade.util import print_rich_table
from freqtrade.util.migrations import migrate_data
@@ -119,8 +120,6 @@ def start_list_data(args: Dict[str, Any]) -> None:
config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
from tabulate import tabulate
from freqtrade.data.history import get_datahandler
dhc = get_datahandler(config["datadir"], config["dataformat_ohlcv"])
@@ -131,8 +130,7 @@ def start_list_data(args: Dict[str, Any]) -> None:
if args["pairs"]:
paircombs = [comb for comb in paircombs if comb[0] in args["pairs"]]
print(f"Found {len(paircombs)} pair / timeframe combinations.")
title = f"Found {len(paircombs)} pair / timeframe combinations."
if not config.get("show_timerange"):
groupedpair = defaultdict(list)
for pair, timeframe, candle_type in sorted(
@@ -141,40 +139,35 @@ def start_list_data(args: Dict[str, Any]) -> None:
groupedpair[(pair, candle_type)].append(timeframe)
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",
)
print_rich_table(
[
(pair, ", ".join(timeframes), candle_type)
for (pair, candle_type), timeframes in groupedpair.items()
],
("Pair", "Timeframe", "Type"),
title,
table_kwargs={"min_width": 50},
)
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,
timeframe,
candle_type,
start.strftime(DATETIME_PRINT_FORMAT),
end.strftime(DATETIME_PRINT_FORMAT),
length,
)
for pair, timeframe, candle_type, start, end, length in sorted(
paircombs1, key=lambda x: (x[0], timeframe_to_minutes(x[1]), x[2])
)
],
headers=("Pair", "Timeframe", "Type", "From", "To", "Candles"),
tablefmt="psql",
stralign="right",
)
print_rich_table(
[
(
pair,
timeframe,
candle_type,
start.strftime(DATETIME_PRINT_FORMAT),
end.strftime(DATETIME_PRINT_FORMAT),
str(length),
)
for pair, timeframe, candle_type, start, end, length in sorted(
paircombs1, key=lambda x: (x[0], timeframe_to_minutes(x[1]), x[2])
)
],
("Pair", "Timeframe", "Type", "From", "To", "Candles"),
summary=title,
table_kwargs={"min_width": 50},
)