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https://github.com/freqtrade/freqtrade.git
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refactor: rename fetch_ohlcv to download_archive_ohlcv
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@@ -10,8 +10,8 @@ from pandas import DataFrame
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from freqtrade.constants import DEFAULT_DATAFRAME_COLUMNS
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from freqtrade.enums import CandleType, MarginMode, PriceType, TradingMode
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from freqtrade.exceptions import DDosProtection, OperationalException, TemporaryError
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from freqtrade.exchange import Exchange, binance_public_data
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from freqtrade.exchange.binance_public_data import concat
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from freqtrade.exchange import Exchange
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from freqtrade.exchange.binance_public_data import concat, download_archive_ohlcv
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from freqtrade.exchange.common import retrier
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from freqtrade.exchange.exchange_types import FtHas, Tickers
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from freqtrade.exchange.exchange_utils_timeframe import timeframe_to_msecs
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@@ -172,7 +172,7 @@ class Binance(Exchange):
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candle_type == CandleType.FUTURES and timeframe in ["1m", "3m", "5m", "15m", "30m"]
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):
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df = self.loop.run_until_complete(
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binance_public_data.fetch_ohlcv(
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download_archive_ohlcv(
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candle_type=candle_type,
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pair=pair,
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timeframe=timeframe,
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@@ -35,7 +35,7 @@ class BadHttpStatus(Exception):
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pass
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async def fetch_ohlcv(
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async def download_archive_ohlcv(
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candle_type: CandleType,
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pair: str,
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timeframe: str,
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@@ -86,7 +86,9 @@ async def fetch_ohlcv(
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end = min(end, last_available_date)
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if start >= end:
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return DataFrame()
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df = await _fetch_ohlcv(asset_type, symbol, pair, timeframe, start, end, stop_on_404)
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df = await _download_archive_ohlcv(
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asset_type, symbol, pair, timeframe, start, end, stop_on_404
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)
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logger.debug(
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f"Downloaded data for {pair} from https://data.binance.vision with length {len(df)}."
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)
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@@ -108,7 +110,7 @@ def concat(dfs) -> DataFrame:
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return pd.concat(dfs)
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async def _fetch_ohlcv(
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async def _download_archive_ohlcv(
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asset_type: str,
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symbol: str,
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pair: str,
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@@ -763,7 +763,7 @@ def patch_ohlcv(mocker, start, archive_end, api_end, timeframe):
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until = dt_from_ts(until_ms) if until_ms else api_end + timedelta(seconds=1)
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return api_storage.loc[(api_storage["date"] >= since) & (api_storage["date"] < until)]
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async def fetch_ohlcv(
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async def download_archive_ohlcv(
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candle_type,
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pair,
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timeframe,
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@@ -787,7 +787,7 @@ def patch_ohlcv(mocker, start, archive_end, api_end, timeframe):
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"freqtrade.exchange.Exchange.get_historic_ohlcv", side_effect=get_historic_ohlcv
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)
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archive_mock = mocker.patch(
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"freqtrade.exchange.binance_public_data.fetch_ohlcv", side_effect=fetch_ohlcv
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"freqtrade.exchange.binance.download_archive_ohlcv", side_effect=download_archive_ohlcv
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)
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return candle_mock, api_mock, archive_mock
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@@ -14,7 +14,7 @@ from freqtrade.enums import CandleType
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from freqtrade.exchange.binance_public_data import (
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BadHttpStatus,
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Http404,
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fetch_ohlcv,
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download_archive_ohlcv,
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get_daily_ohlcv,
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zip_name,
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)
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@@ -196,7 +196,9 @@ def make_response_from_url(start_date, end_date):
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),
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],
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)
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async def test_fetch_ohlcv(mocker, candle_type, since, until, first_date, last_date, stop_on_404):
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async def test_download_archive_ohlcv(
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mocker, candle_type, since, until, first_date, last_date, stop_on_404
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):
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history_start = dt_utc(2020, 1, 1).date()
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history_end = dt_utc(2020, 1, 3).date()
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timeframe = "1h"
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@@ -214,7 +216,9 @@ async def test_fetch_ohlcv(mocker, candle_type, since, until, first_date, last_d
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)
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markets = {"BTC/USDT": {"id": "BTCUSDT"}, "BTC/USDT:USDT": {"id": "BTCUSDT"}}
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df = await fetch_ohlcv(candle_type, pair, timeframe, since_ms, until_ms, markets, stop_on_404)
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df = await download_archive_ohlcv(
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candle_type, pair, timeframe, since_ms, until_ms, markets, stop_on_404
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)
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if df.empty:
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assert first_date is None and last_date is None
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@@ -224,7 +228,7 @@ async def test_fetch_ohlcv(mocker, candle_type, since, until, first_date, last_d
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assert df["date"].iloc[-1] == last_date
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async def test_fetch_ohlcv_exc(mocker):
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async def test_download_archive_ohlcv_exc(mocker):
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timeframe = "1h"
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pair = "BTC/USDT"
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@@ -240,7 +244,7 @@ async def test_fetch_ohlcv_exc(mocker):
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{"BTC/USDT": {"id": "BTCUSDT"}},
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)
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df = await fetch_ohlcv(CandleType.SPOT, pair, timeframe, since_ms, until_ms)
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df = await download_archive_ohlcv(CandleType.SPOT, pair, timeframe, since_ms, until_ms)
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assert df.empty
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