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- remove zipline.utils.calendars - update imports - add trading-calendars to requirements
504 lines
17 KiB
Python
504 lines
17 KiB
Python
#
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# Copyright 2016 Quantopian, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import datetime
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from inspect import isabstract
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import random
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from unittest import TestCase
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import warnings
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from nose_parameterized import parameterized
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import pandas as pd
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from six import iteritems
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from six.moves import range, map
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from trading_calendars import get_calendar
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import zipline.utils.events
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from zipline.utils.events import (
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EventRule,
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StatelessRule,
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Always,
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Never,
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AfterOpen,
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ComposedRule,
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BeforeClose,
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NotHalfDay,
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NthTradingDayOfWeek,
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NDaysBeforeLastTradingDayOfWeek,
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NthTradingDayOfMonth,
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NDaysBeforeLastTradingDayOfMonth,
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StatefulRule,
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OncePerDay,
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_build_offset,
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_build_date,
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_build_time,
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EventManager,
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Event,
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MAX_MONTH_RANGE,
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MAX_WEEK_RANGE,
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TradingDayOfMonthRule,
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TradingDayOfWeekRule
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)
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def param_range(*args):
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return ([n] for n in range(*args))
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class TestUtils(TestCase):
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@parameterized.expand([
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('_build_date', _build_date),
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('_build_time', _build_time),
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])
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def test_build_none(self, name, f):
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with self.assertRaises(ValueError):
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f(None, {})
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def test_build_offset_default(self):
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default = object()
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self.assertIs(default, _build_offset(None, {}, default))
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def test_build_offset_both(self):
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with self.assertRaises(ValueError):
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_build_offset(datetime.timedelta(minutes=1), {'minutes': 1}, None)
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def test_build_offset_exc(self):
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with self.assertRaises(TypeError):
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# object() is not an instance of a timedelta.
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_build_offset(object(), {}, None)
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def test_build_offset_kwargs(self):
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kwargs = {'minutes': 1}
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self.assertEqual(
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_build_offset(None, kwargs, None),
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datetime.timedelta(**kwargs),
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)
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def test_build_offset_td(self):
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td = datetime.timedelta(minutes=1)
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self.assertEqual(
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_build_offset(td, {}, None),
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td,
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)
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def test_build_date_both(self):
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with self.assertRaises(ValueError):
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_build_date(
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datetime.date(year=2014, month=9, day=25), {
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'year': 2014,
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'month': 9,
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'day': 25,
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},
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)
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def test_build_date_kwargs(self):
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kwargs = {'year': 2014, 'month': 9, 'day': 25}
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self.assertEqual(
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_build_date(None, kwargs),
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datetime.date(**kwargs),
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)
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def test_build_date_date(self):
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date = datetime.date(year=2014, month=9, day=25)
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self.assertEqual(
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_build_date(date, {}),
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date,
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)
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def test_build_time_both(self):
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with self.assertRaises(ValueError):
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_build_time(
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datetime.time(hour=1, minute=5), {
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'hour': 1,
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'minute': 5,
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},
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)
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def test_build_time_kwargs(self):
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kwargs = {'hour': 1, 'minute': 5}
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self.assertEqual(
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_build_time(None, kwargs),
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datetime.time(**kwargs),
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)
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class TestEventManager(TestCase):
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def setUp(self):
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self.em = EventManager()
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self.event1 = Event(Always())
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self.event2 = Event(Always())
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def test_add_event(self):
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self.em.add_event(self.event1)
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self.assertEqual(len(self.em._events), 1)
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def test_add_event_prepend(self):
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self.em.add_event(self.event1)
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self.em.add_event(self.event2, prepend=True)
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self.assertEqual([self.event2, self.event1], self.em._events)
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def test_add_event_append(self):
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self.em.add_event(self.event1)
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self.em.add_event(self.event2)
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self.assertEqual([self.event1, self.event2], self.em._events)
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def test_checks_should_trigger(self):
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class CountingRule(Always):
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count = 0
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def should_trigger(self, dt):
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CountingRule.count += 1
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return True
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for r in [CountingRule] * 5:
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self.em.add_event(Event(r()))
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self.em.handle_data(None, None, datetime.datetime.now())
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self.assertEqual(CountingRule.count, 5)
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class TestEventRule(TestCase):
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def test_is_abstract(self):
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with self.assertRaises(TypeError):
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EventRule()
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def test_not_implemented(self):
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with self.assertRaises(NotImplementedError):
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super(Always, Always()).should_trigger('a')
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def minutes_for_days(cal, ordered_days=False):
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"""
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500 randomly selected days.
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This is used to make sure our test coverage is unbiased towards any rules.
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We use a random sample because testing on all the trading days took
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around 180 seconds on my laptop, which is far too much for normal unit
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testing.
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We manually set the seed so that this will be deterministic.
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Results of multiple runs were compared to make sure that this is actually
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true.
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This returns a generator of tuples each wrapping a single generator.
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Iterating over this yields a single day, iterating over the day yields
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the minutes for that day.
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"""
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random.seed('deterministic')
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if ordered_days:
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# Get a list of 500 trading days, in order. As a performance
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# optimization in AfterOpen and BeforeClose, we rely on the fact that
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# the clock only ever moves forward in a simulation. For those cases,
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# we guarantee that the list of trading days we test is ordered.
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ordered_session_list = random.sample(list(cal.all_sessions), 500)
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ordered_session_list.sort()
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def session_picker(day):
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return ordered_session_list[day]
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else:
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# Other than AfterOpen and BeforeClose, we don't rely on the the nature
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# of the clock, so we don't care.
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def session_picker(day):
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return random.choice(cal.all_sessions[:-1])
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return [cal.minutes_for_session(session_picker(cnt))
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for cnt in range(500)]
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class RuleTestCase(object):
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CALENDAR_STRING = "foo"
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@classmethod
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def setUpClass(cls):
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# On the AfterOpen and BeforeClose tests, we want ensure that the
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# functions are pure, and that running them with the same input will
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# provide the same output, regardless of whether the function is run 1
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# or N times. (For performance reasons, we cache some internal state
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# in AfterOpen and BeforeClose, but we don't want it to affect
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# purity). Hence, we use the same before_close and after_open across
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# subtests.
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cls.before_close = BeforeClose(hours=1, minutes=5)
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cls.after_open = AfterOpen(hours=1, minutes=5)
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cls.class_ = None # Mark that this is the base class.
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cal = get_calendar(cls.CALENDAR_STRING)
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cls.before_close.cal = cal
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cls.after_open.cal = cal
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def test_completeness(self):
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"""
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Tests that all rules are being tested.
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"""
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if not self.class_:
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return # This is the base class testing, it is always complete.
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classes_to_ignore = [TradingDayOfWeekRule, TradingDayOfMonthRule]
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dem = {
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k for k, v in iteritems(vars(zipline.utils.events))
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if isinstance(v, type) and
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issubclass(v, self.class_) and
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v is not self.class_ and
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v not in classes_to_ignore and
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not isabstract(v)
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}
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ds = {
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k[5:] for k in dir(self)
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if k.startswith('test') and k[5:] in dem
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}
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self.assertTrue(
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dem <= ds,
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msg='This suite is missing tests for the following classes:\n' +
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'\n'.join(map(repr, dem - ds)),
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)
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class StatelessRulesTests(RuleTestCase):
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@classmethod
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def setUpClass(cls):
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super(StatelessRulesTests, cls).setUpClass()
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cls.class_ = StatelessRule
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cls.cal = get_calendar(cls.CALENDAR_STRING)
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# First day of 09/2014 is closed whereas that for 10/2014 is open
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cls.sept_sessions = cls.cal.sessions_in_range(
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pd.Timestamp('2014-09-01', tz='UTC'),
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pd.Timestamp('2014-09-30', tz='UTC'),
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)
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cls.oct_sessions = cls.cal.sessions_in_range(
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pd.Timestamp('2014-10-01', tz='UTC'),
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pd.Timestamp('2014-10-31', tz='UTC'),
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)
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cls.sept_week = cls.cal.minutes_for_sessions_in_range(
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pd.Timestamp("2014-09-22", tz='UTC'),
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pd.Timestamp("2014-09-26", tz='UTC')
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)
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cls.HALF_SESSION = None
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cls.FULL_SESSION = None
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def test_Always(self):
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should_trigger = Always().should_trigger
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for session_minutes in minutes_for_days(self.cal):
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self.assertTrue(all(map(should_trigger, session_minutes)))
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def test_Never(self):
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should_trigger = Never().should_trigger
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for session_minutes in minutes_for_days(self.cal):
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self.assertFalse(any(map(should_trigger, session_minutes)))
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def test_AfterOpen(self):
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minute_groups = minutes_for_days(self.cal, ordered_days=True)
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should_trigger = self.after_open.should_trigger
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for session_minutes in minute_groups:
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for i, minute in enumerate(session_minutes):
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# Should only trigger at the 64th minute
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if i != 64:
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self.assertFalse(should_trigger(minute))
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else:
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self.assertTrue(should_trigger(minute))
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def test_invalid_offset(self):
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with self.assertRaises(ValueError):
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AfterOpen(hours=12, minutes=1)
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with self.assertRaises(ValueError):
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AfterOpen(hours=0, minutes=0)
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with self.assertRaises(ValueError):
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BeforeClose(hours=12, minutes=1)
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with self.assertRaises(ValueError):
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BeforeClose(hours=0, minutes=0)
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def test_BeforeClose(self):
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minute_groups = minutes_for_days(self.cal, ordered_days=True)
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should_trigger = self.before_close.should_trigger
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for minute_group in minute_groups:
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for minute in minute_group:
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# Should only trigger at the 65th-to-last minute
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if minute != minute_group[-66]:
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self.assertFalse(should_trigger(minute))
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else:
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self.assertTrue(should_trigger(minute))
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def test_NotHalfDay(self):
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rule = NotHalfDay()
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rule.cal = self.cal
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if self.HALF_SESSION:
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for minute in self.cal.minutes_for_session(self.HALF_SESSION):
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self.assertFalse(rule.should_trigger(minute))
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if self.FULL_SESSION:
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for minute in self.cal.minutes_for_session(self.FULL_SESSION):
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self.assertTrue(rule.should_trigger(minute))
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def test_NthTradingDayOfWeek_day_zero(self):
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"""
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Test that we don't blow up when trying to call week_start's
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should_trigger on the first day of a trading environment.
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"""
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rule = NthTradingDayOfWeek(0)
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rule.cal = self.cal
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first_open = self.cal.open_and_close_for_session(
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self.cal.all_sessions[0]
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)
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self.assertTrue(first_open)
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def test_NthTradingDayOfWeek(self):
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for n in range(MAX_WEEK_RANGE):
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rule = NthTradingDayOfWeek(n)
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rule.cal = self.cal
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should_trigger = rule.should_trigger
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prev_period = self.cal.minute_to_session_label(self.sept_week[0])
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n_tdays = 0
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for minute in self.sept_week:
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period = self.cal.minute_to_session_label(minute)
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if prev_period < period:
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n_tdays += 1
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prev_period = period
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if should_trigger(minute):
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self.assertEqual(n_tdays, n)
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else:
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self.assertNotEqual(n_tdays, n)
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def test_NDaysBeforeLastTradingDayOfWeek(self):
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for n in range(MAX_WEEK_RANGE):
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rule = NDaysBeforeLastTradingDayOfWeek(n)
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rule.cal = self.cal
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should_trigger = rule.should_trigger
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for minute in self.sept_week:
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if should_trigger(minute):
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n_tdays = 0
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session = self.cal.minute_to_session_label(
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minute,
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direction="none"
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)
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next_session = self.cal.next_session_label(session)
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while next_session.dayofweek > session.dayofweek:
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session = next_session
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next_session = self.cal.next_session_label(session)
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n_tdays += 1
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self.assertEqual(n_tdays, n)
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def test_NthTradingDayOfMonth(self):
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for n in range(MAX_MONTH_RANGE):
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rule = NthTradingDayOfMonth(n)
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rule.cal = self.cal
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should_trigger = rule.should_trigger
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for sessions_list in (self.sept_sessions, self.oct_sessions):
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for n_tdays, session in enumerate(sessions_list):
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# just check the first 10 minutes of each session
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for m in self.cal.minutes_for_session(session)[0:10]:
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if should_trigger(m):
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self.assertEqual(n_tdays, n)
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else:
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self.assertNotEqual(n_tdays, n)
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def test_NDaysBeforeLastTradingDayOfMonth(self):
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for n in range(MAX_MONTH_RANGE):
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rule = NDaysBeforeLastTradingDayOfMonth(n)
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rule.cal = self.cal
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should_trigger = rule.should_trigger
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sessions = reversed(self.oct_sessions)
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for n_days_before, session in enumerate(sessions):
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for m in self.cal.minutes_for_session(session)[0:10]:
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if should_trigger(m):
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self.assertEqual(n_days_before, n)
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else:
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self.assertNotEqual(n_days_before, n)
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def test_ComposedRule(self):
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minute_groups = minutes_for_days(self.cal)
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rule1 = Always()
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rule2 = Never()
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for minute in minute_groups:
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composed = rule1 & rule2
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should_trigger = composed.should_trigger
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self.assertIsInstance(composed, ComposedRule)
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self.assertIs(composed.first, rule1)
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self.assertIs(composed.second, rule2)
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self.assertFalse(any(map(should_trigger, minute)))
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@parameterized.expand([
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('month_start', NthTradingDayOfMonth),
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('month_end', NDaysBeforeLastTradingDayOfMonth),
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('week_start', NthTradingDayOfWeek),
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('week_end', NthTradingDayOfWeek),
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])
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def test_pass_float_to_day_of_period_rule(self, name, rule_type):
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with warnings.catch_warnings(record=True) as raised_warnings:
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warnings.simplefilter('always')
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rule_type(n=3) # Shouldn't trigger a warning.
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rule_type(n=3.0) # Should trigger a warning about float coercion.
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self.assertEqual(len(raised_warnings), 1)
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# We only implicitly convert from float to int when there's no loss of
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# precision.
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with self.assertRaises(TypeError):
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rule_type(3.1)
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def test_invalid_offsets(self):
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with self.assertRaises(ValueError):
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NthTradingDayOfWeek(5)
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with self.assertRaises(ValueError):
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NthTradingDayOfWeek(-1)
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with self.assertRaises(ValueError):
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NthTradingDayOfMonth(-1)
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with self.assertRaises(ValueError):
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NthTradingDayOfMonth(24)
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class StatefulRulesTests(RuleTestCase):
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CALENDAR_STRING = "NYSE"
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@classmethod
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def setUpClass(cls):
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super(StatefulRulesTests, cls).setUpClass()
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cls.class_ = StatefulRule
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cls.cal = get_calendar(cls.CALENDAR_STRING)
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def test_OncePerDay(self):
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class RuleCounter(StatefulRule):
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"""
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A rule that counts the number of times another rule triggers
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but forwards the results out.
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"""
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count = 0
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def should_trigger(self, dt):
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st = self.rule.should_trigger(dt)
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if st:
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self.count += 1
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return st
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for minute_group in minutes_for_days(self.cal):
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rule = RuleCounter(OncePerDay())
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for minute in minute_group:
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rule.should_trigger(minute)
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self.assertEqual(rule.count, 1)
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