Merge pull request #115 from gcarq/pylint_cleanups

Pylint cleanups

.pylintrc

@@ -1,3 +1,10 @@
+[MASTER]
+extension-pkg-whitelist=numpy,talib
+
 [BASIC]
 good-names=logger
 ignore=vendor
+
+[TYPECHECK]
+ignored-modules=numpy,talib
+

freqtrade/__init__.py

@@ -1,3 +1,4 @@
+""" FreqTrade bot """
 __version__ = '0.14.2'
 
 from . import main

freqtrade/analyze.py

@@ -1,3 +1,6 @@
+"""
+Functions to analyze ticker data with indicators and produce buy and sell signals
+"""
 from enum import Enum
 import logging
 from datetime import timedelta
@@ -7,11 +10,12 @@ import talib.abstract as ta
 from pandas import DataFrame, to_datetime
 
 from freqtrade.exchange import get_ticker_history
-from freqtrade.vendor.qtpylib.indicators import awesome_oscillator, crossed_above, crossed_below
+from freqtrade.vendor.qtpylib.indicators import awesome_oscillator, crossed_above
 
 logger = logging.getLogger(__name__)
 
 class SignalType(Enum):
+    """ Enum to distinguish between buy and sell signals """
     BUY = "buy"
     SELL = "sell"
 

freqtrade/exchange/__init__.py

@@ -1,3 +1,5 @@
+# pragma pylint: disable=W0603
+""" Cryptocurrency Exchanges support """
 import enum
 import logging
 from random import randint
@@ -77,7 +79,7 @@ def validate_pairs(pairs: List[str]) -> None:
 def buy(pair: str, rate: float, amount: float) -> str:
     if _CONF['dry_run']:
         global _DRY_RUN_OPEN_ORDERS
-        order_id = 'dry_run_buy_{}'.format(randint(0, 1e6))
+        order_id = 'dry_run_buy_{}'.format(randint(0, 10**6))
         _DRY_RUN_OPEN_ORDERS[order_id] = {
             'pair': pair,
             'rate': rate,
@@ -95,7 +97,7 @@ def buy(pair: str, rate: float, amount: float) -> str:
 def sell(pair: str, rate: float, amount: float) -> str:
     if _CONF['dry_run']:
         global _DRY_RUN_OPEN_ORDERS
-        order_id = 'dry_run_sell_{}'.format(randint(0, 1e6))
+        order_id = 'dry_run_sell_{}'.format(randint(0, 10**6))
         _DRY_RUN_OPEN_ORDERS[order_id] = {
             'pair': pair,
             'rate': rate,

freqtrade/tests/__init__.py

@@ -1,3 +1,4 @@
+# pragma pylint: disable=missing-docstring
 import json
 import os
 
@@ -14,6 +15,6 @@ def load_backtesting_data(ticker_interval: int = 5):
             abspath=path,
             pair=pair,
             ticker_interval=ticker_interval,
-        )) as fp:
-            result[pair] = json.load(fp)
+        )) as tickerdata:
+            result[pair] = json.load(tickerdata)
     return result

freqtrade/tests/test_analyze.py

@@ -1,4 +1,4 @@
-# pragma pylint: disable=missing-docstring
+# pragma pylint: disable=missing-docstring,W0621
 from datetime import datetime
 import json
 import pytest

freqtrade/tests/test_backtesting.py

@@ -1,4 +1,4 @@
-# pragma pylint: disable=missing-docstring
+# pragma pylint: disable=missing-docstring,W0212
 
 
 import logging
@@ -23,8 +23,8 @@ logger = logging.getLogger(__name__)
 
 
 def format_results(results: DataFrame):
-    return 'Made {} buys. Average profit {:.2f}%. ' \
-           'Total profit was {:.3f}. Average duration {:.1f} mins.'.format(
+    return ('Made {} buys. Average profit {:.2f}%. '
+            'Total profit was {:.3f}. Average duration {:.1f} mins.').format(
                 len(results.index),
                 results.profit.mean() * 100.0,
                 results.profit.sum(),
@@ -47,11 +47,11 @@ def get_timeframe(data: Dict[str, Dict]) -> Tuple[arrow.Arrow, arrow.Arrow]:
     """
     min_date, max_date = None, None
     for values in data.values():
-        values = sorted(values, key=lambda d: arrow.get(d['T']))
-        if not min_date or values[0]['T'] < min_date:
-            min_date = values[0]['T']
-        if not max_date or values[-1]['T'] > max_date:
-            max_date = values[-1]['T']
+        sorted_values = sorted(values, key=lambda d: arrow.get(d['T']))
+        if not min_date or sorted_values[0]['T'] < min_date:
+            min_date = sorted_values[0]['T']
+        if not max_date or sorted_values[-1]['T'] > max_date:
+            max_date = sorted_values[-1]['T']
     return arrow.get(min_date), arrow.get(max_date)
 
 

freqtrade/tests/test_exchange.py

@@ -1,4 +1,4 @@
-# pragma pylint: disable=missing-docstring
+# pragma pylint: disable=missing-docstring,C0103
 from unittest.mock import MagicMock
 
 import pytest
@@ -33,4 +33,3 @@ def test_validate_pairs_not_compatible(default_conf, mocker):
     mocker.patch.dict('freqtrade.exchange._CONF', default_conf)
     with pytest.raises(RuntimeError, match=r'not compatible'):
         validate_pairs(default_conf['exchange']['pair_whitelist'])
-

freqtrade/tests/test_hyperopt.py

@@ -1,4 +1,4 @@
-# pragma pylint: disable=missing-docstring
+# pragma pylint: disable=missing-docstring,W0212
 import logging
 import os
 from functools import reduce
@@ -21,6 +21,7 @@ logging.disable(logging.DEBUG)  # disable debug logs that slow backtesting a lot
 # set TARGET_TRADES to suit your number concurrent trades so its realistic to 20days of data
 TARGET_TRADES = 1100
 TOTAL_TRIES = 4
+# pylint: disable=C0103
 current_tries = 0
 
 
@@ -90,6 +91,7 @@ def test_hyperopt(backtest_conf, mocker):
         trade_loss = 1 - 0.35 * exp(-(trade_count - TARGET_TRADES) ** 2 / 10 ** 5.2)
         profit_loss = max(0, 1 - total_profit / 10000)  # max profit 10000
 
+        # pylint: disable=W0603
         global current_tries
         current_tries += 1
         print('{}/{}: {}'.format(current_tries, TOTAL_TRIES, result))

freqtrade/tests/test_main.py

@@ -1,4 +1,4 @@
-# pragma pylint: disable=missing-docstring
+# pragma pylint: disable=missing-docstring,C0103
 import copy
 from unittest.mock import MagicMock
 
@@ -26,7 +26,7 @@ def test_process_trade_creation(default_conf, ticker, health, mocker):
     init(default_conf, create_engine('sqlite://'))
 
     trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-    assert len(trades) == 0
+    assert not trades
 
     result = _process()
     assert result is True
@@ -81,7 +81,8 @@ def test_process_runtime_error(default_conf, ticker, health, mocker):
 def test_process_trade_handling(default_conf, ticker, limit_buy_order, health, mocker):
     mocker.patch.dict('freqtrade.main._CONF', default_conf)
     mocker.patch.multiple('freqtrade.main.telegram', init=MagicMock(), send_msg=MagicMock())
-    signal = mocker.patch('freqtrade.main.get_signal', side_effect=lambda *args: False if args[1] == SignalType.SELL else True)
+    mocker.patch('freqtrade.main.get_signal',
+                 side_effect=lambda *args: False if args[1] == SignalType.SELL else True)
     mocker.patch.multiple('freqtrade.main.exchange',
                           validate_pairs=MagicMock(),
                           get_ticker=ticker,
@@ -91,7 +92,7 @@ def test_process_trade_handling(default_conf, ticker, limit_buy_order, health, m
     init(default_conf, create_engine('sqlite://'))
 
     trades = Trade.query.filter(Trade.is_open.is_(True)).all()
-    assert len(trades) == 0
+    assert not trades
     result = _process()
     assert result is True
     trades = Trade.query.filter(Trade.is_open.is_(True)).all()

freqtrade/tests/test_misc.py

@@ -1,4 +1,4 @@
-# pragma pylint: disable=missing-docstring
+# pragma pylint: disable=missing-docstring,C0103
 import time
 import os
 from argparse import Namespace

freqtrade/tests/test_telegram.py

@@ -1,10 +1,9 @@
-# pragma pylint: disable=missing-docstring, too-many-arguments, too-many-ancestors
+# pragma pylint: disable=missing-docstring, too-many-arguments, too-many-ancestors, C0103
 import re
 from datetime import datetime
 from random import randint
 from unittest.mock import MagicMock
 
-import pytest
 from sqlalchemy import create_engine
 from telegram import Update, Message, Chat
 from telegram.error import NetworkError
@@ -519,7 +518,7 @@ def test_send_msg(default_conf, mocker):
                           init=MagicMock())
     bot = MagicMock()
     send_msg('test', bot)
-    assert len(bot.method_calls) == 0
+    assert not bot.method_calls
     bot.reset_mock()
 
     default_conf['telegram']['enabled'] = True