chore: don't shadow pandas builtin methods

This commit is contained in:
Matthias
2024-11-28 07:04:08 +01:00
parent e2a09f272a
commit b1ca00b037
2 changed files with 7 additions and 7 deletions

View File

@@ -11,7 +11,7 @@ from freqtrade.constants import DEFAULT_DATAFRAME_COLUMNS
from freqtrade.enums import CandleType, MarginMode, PriceType, TradingMode
from freqtrade.exceptions import DDosProtection, OperationalException, TemporaryError
from freqtrade.exchange import Exchange
from freqtrade.exchange.binance_public_data import concat, download_archive_ohlcv
from freqtrade.exchange.binance_public_data import concat_safe, download_archive_ohlcv
from freqtrade.exchange.common import retrier
from freqtrade.exchange.exchange_types import FtHas, Tickers
from freqtrade.exchange.exchange_utils_timeframe import timeframe_to_msecs
@@ -207,7 +207,7 @@ class Binance(Exchange):
is_new_pair=is_new_pair,
until_ms=until_ms,
)
all_df = concat([df, rest_df])
all_df = concat_safe([df, rest_df])
return all_df
def funding_fee_cutoff(self, open_date: datetime):

View File

@@ -47,7 +47,7 @@ async def download_archive_ohlcv(
"""
Fetch OHLCV data from https://data.binance.vision
The function makes its best effort to download data within the time range
[`since_ms`, `until_ms`) -- including `since_ms`, but excluding `until_ms`.
[`since_ms`, `until_ms`] -- including `since_ms`, but excluding `until_ms`.
If `stop_one_404` is True, this returned DataFrame is guaranteed to start from `since_ms`
with no gaps in the data.
@@ -107,7 +107,7 @@ async def download_archive_ohlcv(
return df
def concat(dfs) -> DataFrame:
def concat_safe(dfs) -> DataFrame:
if all(df is None for df in dfs):
return DataFrame()
else:
@@ -168,17 +168,17 @@ async def _download_archive_ohlcv(
"remaining data, this can take more time."
)
await cancel_and_await_tasks(tasks[tasks.index(task) + 1 :])
return concat(dfs)
return concat_safe(dfs)
else:
dfs.append(None)
except BaseException as e:
logger.warning(f"An exception raised: : {e}")
# Directly return the existing data, do not allow the gap within the data
await cancel_and_await_tasks(tasks[tasks.index(task) + 1 :])
return concat(dfs)
return concat_safe(dfs)
else:
dfs.append(df)
return concat(dfs)
return concat_safe(dfs)
async def cancel_and_await_tasks(unawaited_tasks):