ENH: Makes schedule_function work in daily mode.

This commit is contained in:
Joe Jevnik
2014-11-06 10:49:49 -05:00
parent 93429d69f5
commit ca59abcc43
5 changed files with 95 additions and 61 deletions
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+55 -47
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@@ -13,16 +13,16 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import datetime
import random
from itertools import islice
from six import iteritems
import random
from six.moves import range, map
from nose_parameterized import parameterized
from unittest import TestCase
import numpy as np
from zipline.finance.trading import TradingEnvironment
from zipline.finance.trading import TradingEnvironment, with_environment
import zipline.utils.events
from zipline.utils.events import (
EventRule,
@@ -185,30 +185,34 @@ class TestEventRule(TestCase):
super(Always, Always()).should_trigger('a')
@with_environment()
def minutes_for_days(env=None):
"""
500 randomly selected days.
This is used to make sure our test coverage is unbaised towards any rules.
We use a random sample because testing on all the trading days took
around 180 seconds on my laptop, which is far too much for normal unit
testing.
We manually set the seed so that this will be deterministic.
Results of multiple runs were compared to make sure that this is actually
true.
This returns a generator of tuples each wrapping a single generator.
Iterating over this yeilds a single day, iterating over the day yields
the minutes for that day.
"""
random.seed('deterministic')
return ((env.market_minutes_for_day(random.choice(env.trading_days)),)
for _ in range(500))
class RuleTestCase(TestCase):
@classmethod
def setUpClass(cls):
cls.env = TradingEnvironment.instance()
cls.class_ = None # Mark that this is the base class.
def setUp(self):
# Select a random sample of 5 trading days
self.trading_days = self._get_random_days(5)
def _get_random_days(self, n):
"""
Returns a random selection n trading days.
"""
index = random.sample(range(len(self.env.trading_days)), n)
test_dts = (self.env.trading_days[i] for i in index)
return (self.env.market_minutes_for_day(dt) for dt in test_dts)
@property
def minutes(self):
for d in self.trading_days:
for m in d:
yield m.to_datetime()
def test_completeness(self):
"""
Tests that all rules are being tested.
@@ -250,34 +254,37 @@ class TestStatelessRules(RuleTestCase):
datetime.date(year=2014, month=9, day=26),
)
def test_Always(self):
@parameterized.expand(minutes_for_days())
def test_Always(self, ms):
should_trigger = Always().should_trigger
self.assertTrue(all(map(should_trigger, self.minutes)))
self.assertTrue(all(map(should_trigger, ms)))
def test_Never(self):
@parameterized.expand(minutes_for_days())
def test_Never(self, ms):
should_trigger = Never().should_trigger
self.assertFalse(any(map(should_trigger, self.minutes)))
self.assertFalse(any(map(should_trigger, ms)))
def test_AfterOpen(self):
@parameterized.expand(minutes_for_days())
def test_AfterOpen(self, ms):
should_trigger = AfterOpen(minutes=5, hours=1).should_trigger
for d in self.trading_days:
for m in islice(d, 64):
# Check the first 64 minutes of data.
# We use 64 because the offset is from market open
# at 13:30 UTC, meaning the first minute of data has an
# offset of 1.
self.assertFalse(should_trigger(m))
for m in islice(d, 64, None):
# Check the rest of the day.
self.assertTrue(should_trigger(m))
for m in islice(ms, 64):
# Check the first 64 minutes of data.
# We use 64 because the offset is from market open
# at 13:30 UTC, meaning the first minute of data has an
# offset of 1.
self.assertFalse(should_trigger(m))
for m in islice(ms, 64, None):
# Check the rest of the day.
self.assertTrue(should_trigger(m))
def test_BeforeClose(self):
@parameterized.expand(minutes_for_days())
def test_BeforeClose(self, ms):
ms = list(ms)
should_trigger = BeforeClose(hours=1, minutes=5).should_trigger
for d in self.trading_days:
for m in d[0:-65]:
self.assertFalse(should_trigger(m))
for m in d[-65:]:
self.assertTrue(should_trigger(m))
for m in ms[0:-65]:
self.assertFalse(should_trigger(m))
for m in ms[-65:]:
self.assertTrue(should_trigger(m))
def test_NotHalfDay(self):
should_trigger = NotHalfDay().should_trigger
@@ -334,7 +341,8 @@ class TestStatelessRules(RuleTestCase):
else:
self.assertNotEqual(n_days_before, n)
def test_ComposedRule(self):
@parameterized.expand(minutes_for_days())
def test_ComposedRule(self, ms):
rule1 = Always()
rule2 = Never()
@@ -342,7 +350,7 @@ class TestStatelessRules(RuleTestCase):
self.assertIsInstance(composed, ComposedRule)
self.assertIs(composed.first, rule1)
self.assertIs(composed.second, rule2)
self.assertFalse(any(map(composed.should_trigger, self.minutes)))
self.assertFalse(any(map(composed.should_trigger, ms)))
class TestStatefulRules(RuleTestCase):
@@ -352,7 +360,8 @@ class TestStatefulRules(RuleTestCase):
cls.class_ = StatefulRule
def test_OncePerDay(self):
@parameterized.expand(minutes_for_days())
def test_OncePerDay(self, ms):
class RuleCounter(StatefulRule):
"""
A rule that counts the number of times another rule triggers
@@ -367,8 +376,7 @@ class TestStatefulRules(RuleTestCase):
return st
rule = RuleCounter(OncePerDay())
for m in self.minutes:
for m in ms:
rule.should_trigger(m)
# We are only using 5 trading days.
self.assertEqual(rule.count, 5)
self.assertEqual(rule.count, 1)