Refactor generic data generation to conftest

tests/conftest.py

@@ -10,6 +10,7 @@ from unittest.mock import MagicMock, Mock, PropertyMock
 
 import arrow
 import numpy as np
+import pandas as pd
 import pytest
 from telegram import Chat, Message, Update
 
@@ -19,6 +20,7 @@ from freqtrade.data.converter import ohlcv_to_dataframe
 from freqtrade.edge import PairInfo
 from freqtrade.enums import CandleType, MarginMode, RunMode, SignalDirection, TradingMode
 from freqtrade.exchange import Exchange
+from freqtrade.exchange.exchange import timeframe_to_minutes
 from freqtrade.freqtradebot import FreqtradeBot
 from freqtrade.persistence import LocalTrade, Order, Trade, init_db
 from freqtrade.resolvers import ExchangeResolver
@@ -82,6 +84,26 @@ def get_args(args):
     return Arguments(args).get_parsed_arg()
 
 
+def generate_test_data(timeframe: str, size: int, start: str = '2020-07-05'):
+    np.random.seed(42)
+    tf_mins = timeframe_to_minutes(timeframe)
+
+    base = np.random.normal(20, 2, size=size)
+
+    date = pd.date_range(start, periods=size, freq=f'{tf_mins}min', tz='UTC')
+    df = pd.DataFrame({
+        'date': date,
+        'open': base,
+        'high': base + np.random.normal(2, 1, size=size),
+        'low': base - np.random.normal(2, 1, size=size),
+        'close': base + np.random.normal(0, 1, size=size),
+        'volume': np.random.normal(200, size=size)
+    }
+    )
+    df = df.dropna()
+    return df
+
+
 # Source: https://stackoverflow.com/questions/29881236/how-to-mock-asyncio-coroutines
 # TODO: This should be replaced with AsyncMock once support for python 3.7 is dropped.
 def get_mock_coro(return_value=None, side_effect=None):

tests/strategy/test_strategy_helpers.py

@@ -5,29 +5,8 @@ import pytest
 from freqtrade.data.dataprovider import DataProvider
 from freqtrade.enums import CandleType
 from freqtrade.resolvers.strategy_resolver import StrategyResolver
-from freqtrade.strategy import (merge_informative_pair, stoploss_from_absolute, stoploss_from_open,
+from freqtrade.strategy import merge_informative_pair, stoploss_from_absolute, stoploss_from_open
-                                timeframe_to_minutes)
+from tests.conftest import generate_test_data, get_patched_exchange
-from tests.conftest import get_patched_exchange
-
-
-def generate_test_data(timeframe: str, size: int, start: str = '2020-07-05'):
-    np.random.seed(42)
-    tf_mins = timeframe_to_minutes(timeframe)
-
-    base = np.random.normal(20, 2, size=size)
-
-    date = pd.date_range(start, periods=size, freq=f'{tf_mins}min', tz='UTC')
-    df = pd.DataFrame({
-        'date': date,
-        'open': base,
-        'high': base + np.random.normal(2, 1, size=size),
-        'low': base - np.random.normal(2, 1, size=size),
-        'close': base + np.random.normal(0, 1, size=size),
-        'volume': np.random.normal(200, size=size)
-    }
-    )
-    df = df.dropna()
-    return df
 
 
 def test_merge_informative_pair():