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schedule_function takes a date rule, a time rule, and a function and will call the function, passing context and data only when the two rules fire. This allows for code that is conditional to the datetime of the algo. This is implemented internally with `Event` objects which are pairings of `EventRule`s and callbacks. handle_data becomes a special event with a rule that always fires. This makes the logic for handling events more complete and compact.
358 lines
11 KiB
Python
358 lines
11 KiB
Python
#
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# Copyright 2014 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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import random
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from itertools import islice, dropwhile
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from six.moves import range, map
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from nose_parameterized import parameterized
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from unittest import TestCase
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import numpy as np
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from zipline.finance.trading import TradingEnvironment
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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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)
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# A day known to be a half day.
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HALF_DAY = datetime.date(year=2014, month=7, day=3)
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# A day known to be a full day.
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FULL_DAY = datetime.date(year=2014, month=9, day=24)
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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_both(self):
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with self.assertRaises(ValueError):
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_build_offset(datetime.timedelta(minutes=1), {'minutes': 1})
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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),
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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, {}),
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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(), lambda context, data: None)
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self.event2 = Event(Always(), lambda context, data: None)
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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(
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Event(r(), lambda context, data: None, check_args=False)
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)
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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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class RuleTestCase(TestCase):
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@classmethod
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def setUpClass(cls):
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cls.env = TradingEnvironment.instance()
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cls.class_ = None # Mark that this is the base class.
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def setUp(self):
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# Select a random sample of 5 trading days
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self.trading_days = self._get_random_days(5)
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def _get_random_days(self, n):
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"""
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Returns a random selection n trading days.
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"""
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index = random.sample(range(len(self.env.trading_days)), n)
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test_dts = (self.env.trading_days[i] for i in index)
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return (self.env.market_minutes_for_day(dt) for dt in test_dts)
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@property
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def minutes(self):
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for d in self.trading_days:
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for m in d:
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yield m.to_datetime()
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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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dem = {
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k for k, v in vars(zipline.utils.events).iteritems()
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if isinstance(v, type)
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and issubclass(v, self.class_)
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and v is not self.class_
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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 TestStatelessRules(RuleTestCase):
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@classmethod
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def setUpClass(cls):
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super(TestStatelessRules, cls).setUpClass()
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cls.class_ = StatelessRule
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cls.sept_days = cls.env.days_in_range(
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np.datetime64(datetime.date(year=2014, month=9, day=1)),
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np.datetime64(datetime.date(year=2014, month=9, day=30)),
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)
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cls.sept_week = cls.env.minutes_for_days_in_range(
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datetime.date(year=2014, month=9, day=21),
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datetime.date(year=2014, month=9, day=26),
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)
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def test_Always(self):
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should_trigger = Always().should_trigger
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self.assertTrue(all(map(should_trigger, self.minutes)))
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def test_Never(self):
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should_trigger = Never().should_trigger
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self.assertFalse(any(map(should_trigger, self.minutes)))
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def test_AfterOpen(self):
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should_trigger = AfterOpen(minutes=5, hours=1).should_trigger
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for d in self.trading_days:
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for m in islice(d, 65):
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self.assertFalse(should_trigger(m))
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for m in islice(d, 65, None):
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self.assertTrue(should_trigger(m))
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def test_BeforeClose(self):
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should_trigger = BeforeClose(hours=1, minutes=5).should_trigger
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for d in self.trading_days:
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for m in d[0:-65]:
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self.assertFalse(should_trigger(m))
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for m in d[-65:]:
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self.assertTrue(should_trigger(m))
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def test_NotHalfDay(self):
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should_trigger = NotHalfDay().should_trigger
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self.assertTrue(should_trigger(FULL_DAY))
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self.assertFalse(should_trigger(HALF_DAY))
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@parameterized.expand(param_range(5))
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def test_NthTradingDayOfWeek(self, n):
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should_trigger = NthTradingDayOfWeek(n).should_trigger
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prev_day = None
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n_tdays = 0
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for m in dropwhile(lambda n: not should_trigger(n), self.sept_week):
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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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if not prev_day or prev_day < m.date():
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n_tdays += 1
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prev_day = m.date()
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@parameterized.expand(param_range(5))
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def test_NDaysBeforeLastTradingDayOfWeek(self, n):
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should_trigger = NDaysBeforeLastTradingDayOfWeek(n).should_trigger
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for m in self.sept_week:
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if should_trigger(m):
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n_tdays = 0
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date = m.to_datetime().date()
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next_date = self.env.next_trading_day(date)
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while next_date.day > date.day:
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date = next_date
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next_date = self.env.next_trading_day(date)
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n_tdays += 1
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self.assertEqual(n_tdays, n)
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@parameterized.expand(param_range(30))
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def test_NthTradingDayOfMonth(self, n):
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should_trigger = NthTradingDayOfMonth(n).should_trigger
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for n_tdays, d in enumerate(self.sept_days):
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for m in self.env.market_minutes_for_day(d):
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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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@parameterized.expand(param_range(30))
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def test_NDaysBeforeLastTradingDayOfMonth(self, n):
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should_trigger = NDaysBeforeLastTradingDayOfMonth(n).should_trigger
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for n_days_before, d in enumerate(reversed(self.sept_days)):
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for m in self.env.market_minutes_for_day(d):
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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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rule1 = Always()
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rule2 = Never()
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composed = rule1 & rule2
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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(composed.should_trigger, self.minutes)))
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class TestStatefulRules(RuleTestCase):
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@classmethod
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def setUpClass(cls):
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super(TestStatefulRules, cls).setUpClass()
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cls.class_ = StatefulRule
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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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rule = RuleCounter(OncePerDay())
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for m in self.minutes:
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rule.should_trigger(m)
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# We are only using 5 trading days.
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self.assertEqual(rule.count, 5)
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