Make candle_limit optionally timeframe dependent

tests/exchange/test_ccxt_compat.py

@@ -5,11 +5,14 @@ However, these tests should give a good idea to determine if a new exchange is
 suitable to run with freqtrade.
 """
 
+from datetime import datetime, timedelta, timezone
+from freqtrade.exchange.exchange import timeframe_to_minutes
 from pathlib import Path
 
 import pytest
 
 from freqtrade.resolvers.exchange_resolver import ExchangeResolver
+from freqtrade.exchange import timeframe_to_prev_date
 from tests.conftest import get_default_conf
 
 
@@ -122,7 +125,10 @@ class TestCCXTExchange():
         assert len(ohlcv[pair_tf]) == len(exchange.klines(pair_tf))
         # assert len(exchange.klines(pair_tf)) > 200
         # Assume 90% uptime ...
-        assert len(exchange.klines(pair_tf)) > exchange._ohlcv_candle_limit * 0.90
+        assert len(exchange.klines(pair_tf)) > exchange.ohlcv_candle_limit(timeframe) * 0.90
+        # Check if last-timeframe is within the last 2 intervals
+        now = datetime.now(timezone.utc) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
+        assert exchange.klines(pair_tf).iloc[-1]['date'] >= timeframe_to_prev_date(timeframe, now)
 
     # TODO: tests fetch_trades (?)
 

tests/exchange/test_exchange.py

@@ -1417,7 +1417,7 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
     exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
     # one_call calculation * 1.8 should do 2 calls
 
-    since = 5 * 60 * exchange._ft_has['ohlcv_candle_limit'] * 1.8
+    since = 5 * 60 * exchange.ohlcv_candle_limit('5m') * 1.8
     ret = exchange.get_historic_ohlcv(pair, "5m", int((
         arrow.utcnow().int_timestamp - since) * 1000))
 
@@ -1473,7 +1473,7 @@ def test_get_historic_ohlcv_as_df(default_conf, mocker, exchange_name):
     exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
     # one_call calculation * 1.8 should do 2 calls
 
-    since = 5 * 60 * exchange._ft_has['ohlcv_candle_limit'] * 1.8
+    since = 5 * 60 * exchange.ohlcv_candle_limit('5m') * 1.8
     ret = exchange.get_historic_ohlcv_as_df(pair, "5m", int((
         arrow.utcnow().int_timestamp - since) * 1000))