Fix conflicts

freqtrade/exchange/__init__.py

@@ -8,8 +8,7 @@ from datetime import datetime
 import ccxt
 import arrow
 
-from freqtrade import OperationalException, DependencyException, TemporaryError
-from freqtrade.constants import Constants
+from freqtrade import constants, OperationalException, DependencyException, TemporaryError
 
 logger = logging.getLogger(__name__)
 
@@ -283,7 +282,7 @@ def get_ticker_history(pair: str, tick_interval: str, since_ms: Optional[int] =
     try:
         # last item should be in the time interval [now - tick_interval, now]
         till_time_ms = arrow.utcnow().shift(
-                        minutes=-Constants.TICKER_INTERVAL_MINUTES[tick_interval]
+                        minutes=-constants.TICKER_INTERVAL_MINUTES[tick_interval]
                        ).timestamp * 1000
         # it looks as if some exchanges return cached data
         # and they update it one in several minute, so 10 mins interval

freqtrade/optimize/__init__.py

@@ -7,9 +7,8 @@ import os
 import arrow
 from typing import Optional, List, Dict, Tuple
 
-from freqtrade import misc
+from freqtrade import misc, constants
 from freqtrade.exchange import get_ticker_history
-from freqtrade.constants import Constants
 
 from user_data.hyperopt_conf import hyperopt_optimize_conf
 
@@ -156,7 +155,7 @@ def load_cached_data_for_updating(filename: str,
         if timerange[0][0] == 'date':
             since_ms = timerange[1] * 1000
         elif timerange[0][1] == 'line':
-            num_minutes = timerange[2] * Constants.TICKER_INTERVAL_MINUTES[tick_interval]
+            num_minutes = timerange[2] * constants.TICKER_INTERVAL_MINUTES[tick_interval]
             since_ms = arrow.utcnow().shift(minutes=num_minutes).timestamp * 1000
 
     # read the cached file

scripts/convert_backtestdata.py

@@ -21,9 +21,8 @@ from typing import List, Dict
 import gzip
 
 from freqtrade.arguments import Arguments
-from freqtrade import misc
+from freqtrade import misc, constants
 from pandas import DataFrame
-from freqtrade.constants import Constants
 
 import dateutil.parser
 
@@ -139,7 +138,7 @@ def convert_main(args: Namespace) -> None:
                 # default to adding 'm' to end of minutes for new interval name
                 interval = str(minutes) + 'm'
                 # but check if there is a mapping between int and string also
-                for str_interval, minutes_interval in Constants.TICKER_INTERVAL_MINUTES.items():
+                for str_interval, minutes_interval in constants.TICKER_INTERVAL_MINUTES.items():
                     if minutes_interval == minutes:
                         interval = str_interval
                         break

scripts/plot_profit.py

@@ -24,21 +24,14 @@ import plotly.graph_objs as go
 from freqtrade.arguments import Arguments
 from freqtrade.configuration import Configuration
 from freqtrade.analyze import Analyze
-<<<<<<< HEAD
-from freqtrade.constants import Constants
-=======
->>>>>>> bddf009a2b6d0e1a19cca558887ce972e99a6238
+from freqtradeimport constants
+
 
 import freqtrade.optimize as optimize
 import freqtrade.misc as misc
 
 
-<<<<<<< HEAD
-logger = logging.getLogger('freqtrade')
-=======
 logger = logging.getLogger(__name__)
->>>>>>> bddf009a2b6d0e1a19cca558887ce972e99a6238
-
 
 # data:: [ pair,      profit-%,  enter,         exit,        time, duration]
 # data:: ["ETH/BTC", 0.0023975, "1515598200", "1515602100", "2018-01-10 07:30:00+00:00", 65]
@@ -198,7 +191,7 @@ def define_index(min_date: int, max_date: int, interval: str) -> int:
     """
     Return the index of a specific date
     """
-    interval_minutes = Constants.TICKER_INTERVAL_MINUTES[interval]
+    interval_minutes = constants.TICKER_INTERVAL_MINUTES[interval]
     return int((max_date - min_date) / (interval_minutes * 60))