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catalyst/tests/test_assets.py
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Joe Jevnik bc0b117dc9 MAINT: make the data loading apis more consistent. 
Changes BcolzDailyBarWriter to not be an abc, data is passed as an
iterator of (sid, dataframe) pairs to the write method.

Changes the AssetsDBWriter to be a single class which accepts an engine
at construction time and has a `write` method for writing dataframes for
the various tables. We no longer support writing the various other data
types, callers should coerce their data into a dataframe themselves. See
zipline.assets.synthetic for some helpers to do this.

Adds many new fixtures and updates some existing fixtures to use the new
ones:

WithDefaultDateBounds
  A fixture that provides the suite a START_DATE and END_DATE. This is
  meant to make it easy for other fixtures to synchronize their date
  ranges without depending on eachother in strange ways. For example,
  WithBcolzMinuteBarReader and WithBcolzDailyBarReader by default should
  both have data for the same dates, so they may use depend on
  WithDefaultDates without forcing a dependency between them.

WithTmpDir, WithInstanceTmpDir
  Provides the suite or individual test case a temporary directory.

WithBcolzDailyBarReader
  Provides the suite a BcolzDailyBarReader which reads from bcolz data
  written to a temporary directory. The data will be read from
  dataframes and then converted to bcolz files with
  BcolzDailyBarWriter.write

WithBcolzDailyBarReaderFromCSVs
  Provides the suite a BcolzDailyBarReader which reads from bcolz data
  written to a temporary directory. The data will be read from a
  collection of CSV files and then converted into the bcolz data through
  BcolzDailyBarWriter.write_csvs

WithBcolzMinuteBarReader
  Provides the suite a BcolzMinuteBarReader which reads from bcolz data
  written to a temporary directory. The data will be read from
  dataframes and then converted to bcolz files with
  BcolzMinuteBarWriter.write

WithAdjustmentReader
  Provides the suite a SQLiteAdjustmentReader which reads from an in
  memory sqlite database. The data will be read from dataframes and then
  converted into sqlite with SQLiteAdjustmentWriter.write

WithDataPortal
  Provides each test case a DataPortal object with data from temporary
  resources.
2016-04-15 23:46:10 -04:00

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#
# Copyright 2015 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Tests for the zipline.assets package
"""
from contextlib import contextmanager
from datetime import datetime, timedelta
import pickle
import sys
from types import GetSetDescriptorType
from unittest import TestCase
import uuid
import warnings
from nose.tools import raises
from nose_parameterized import parameterized
from numpy import full, int32, int64
import pandas as pd
from pandas.util.testing import assert_frame_equal
from six import PY2
import sqlalchemy as sa
from zipline.assets import (
Asset,
Equity,
Future,
AssetDBWriter,
AssetFinder,
AssetFinderCachedEquities,
)
from zipline.assets.synthetic import (
make_commodity_future_info,
make_rotating_equity_info,
make_simple_equity_info,
)
from six import itervalues, integer_types
from toolz import valmap
from zipline.assets.futures import (
cme_code_to_month,
FutureChain,
month_to_cme_code
)
from zipline.assets.asset_writer import (
check_version_info,
write_version_info,
_futures_defaults,
)
from zipline.assets.asset_db_schema import ASSET_DB_VERSION
from zipline.assets.asset_db_migrations import (
downgrade
)
from zipline.errors import (
EquitiesNotFound,
FutureContractsNotFound,
MultipleSymbolsFound,
RootSymbolNotFound,
AssetDBVersionError,
SidsNotFound,
SymbolNotFound,
AssetDBImpossibleDowngrade,
)
from zipline.testing import (
all_subindices,
empty_assets_db,
tmp_assets_db,
)
from zipline.testing.predicates import assert_equal
from zipline.testing.fixtures import (
WithAssetFinder,
ZiplineTestCase,
)
from zipline.utils.tradingcalendar import trading_day
@contextmanager
def build_lookup_generic_cases(asset_finder_type):
"""
Generate test cases for the type of asset finder specific by
asset_finder_type for test_lookup_generic.
"""
unique_start = pd.Timestamp('2013-01-01', tz='UTC')
unique_end = pd.Timestamp('2014-01-01', tz='UTC')
dupe_0_start = pd.Timestamp('2013-01-01', tz='UTC')
dupe_0_end = dupe_0_start + timedelta(days=1)
dupe_1_start = pd.Timestamp('2013-01-03', tz='UTC')
dupe_1_end = dupe_1_start + timedelta(days=1)
frame = pd.DataFrame.from_records(
[
{
'sid': 0,
'symbol': 'duplicated',
'start_date': dupe_0_start.value,
'end_date': dupe_0_end.value,
'exchange': '',
},
{
'sid': 1,
'symbol': 'duplicated',
'start_date': dupe_1_start.value,
'end_date': dupe_1_end.value,
'exchange': '',
},
{
'sid': 2,
'symbol': 'unique',
'start_date': unique_start.value,
'end_date': unique_end.value,
'exchange': '',
},
],
index='sid')
with tmp_assets_db(equities=frame) as assets_db:
finder = asset_finder_type(assets_db)
dupe_0, dupe_1, unique = assets = [
finder.retrieve_asset(i)
for i in range(3)
]
dupe_0_start = dupe_0.start_date
dupe_1_start = dupe_1.start_date
yield (
##
# Scalars
# Asset object
(finder, assets[0], None, assets[0]),
(finder, assets[1], None, assets[1]),
(finder, assets[2], None, assets[2]),
# int
(finder, 0, None, assets[0]),
(finder, 1, None, assets[1]),
(finder, 2, None, assets[2]),
# Duplicated symbol with resolution date
(finder, 'DUPLICATED', dupe_0_start, dupe_0),
(finder, 'DUPLICATED', dupe_1_start, dupe_1),
# Unique symbol, with or without resolution date.
(finder, 'UNIQUE', unique_start, unique),
(finder, 'UNIQUE', None, unique),
##
# Iterables
# Iterables of Asset objects.
(finder, assets, None, assets),
(finder, iter(assets), None, assets),
# Iterables of ints
(finder, (0, 1), None, assets[:-1]),
(finder, iter((0, 1)), None, assets[:-1]),
# Iterables of symbols.
(finder, ('DUPLICATED', 'UNIQUE'), dupe_0_start, [dupe_0, unique]),
(finder, ('DUPLICATED', 'UNIQUE'), dupe_1_start, [dupe_1, unique]),
# Mixed types
(finder,
('DUPLICATED', 2, 'UNIQUE', 1, dupe_1),
dupe_0_start,
[dupe_0, assets[2], unique, assets[1], dupe_1]),
)
class AssetTestCase(TestCase):
# Dynamically list the Asset properties we want to test.
asset_attrs = [name for name, value in vars(Asset).items()
if isinstance(value, GetSetDescriptorType)]
# Very wow
asset = Asset(
1337,
symbol="DOGE",
asset_name="DOGECOIN",
start_date=pd.Timestamp('2013-12-08 9:31AM', tz='UTC'),
end_date=pd.Timestamp('2014-06-25 11:21AM', tz='UTC'),
first_traded=pd.Timestamp('2013-12-08 9:31AM', tz='UTC'),
auto_close_date=pd.Timestamp('2014-06-26 11:21AM', tz='UTC'),
exchange='THE MOON',
)
def test_asset_object(self):
self.assertEquals({5061: 'foo'}[Asset(5061)], 'foo')
self.assertEquals(Asset(5061), 5061)
self.assertEquals(5061, Asset(5061))
self.assertEquals(Asset(5061), Asset(5061))
self.assertEquals(int(Asset(5061)), 5061)
self.assertEquals(str(Asset(5061)), 'Asset(5061)')
def test_to_and_from_dict(self):
asset_from_dict = Asset.from_dict(self.asset.to_dict())
for attr in self.asset_attrs:
self.assertEqual(
getattr(self.asset, attr), getattr(asset_from_dict, attr),
)
def test_asset_is_pickleable(self):
asset_unpickled = pickle.loads(pickle.dumps(self.asset))
for attr in self.asset_attrs:
self.assertEqual(
getattr(self.asset, attr), getattr(asset_unpickled, attr),
)
def test_asset_comparisons(self):
s_23 = Asset(23)
s_24 = Asset(24)
self.assertEqual(s_23, s_23)
self.assertEqual(s_23, 23)
self.assertEqual(23, s_23)
self.assertEqual(int32(23), s_23)
self.assertEqual(int64(23), s_23)
self.assertEqual(s_23, int32(23))
self.assertEqual(s_23, int64(23))
# Check all int types (includes long on py2):
for int_type in integer_types:
self.assertEqual(int_type(23), s_23)
self.assertEqual(s_23, int_type(23))
self.assertNotEqual(s_23, s_24)
self.assertNotEqual(s_23, 24)
self.assertNotEqual(s_23, "23")
self.assertNotEqual(s_23, 23.5)
self.assertNotEqual(s_23, [])
self.assertNotEqual(s_23, None)
# Compare to a value that doesn't fit into a platform int:
self.assertNotEqual(s_23, sys.maxsize + 1)
self.assertLess(s_23, s_24)
self.assertLess(s_23, 24)
self.assertGreater(24, s_23)
self.assertGreater(s_24, s_23)
def test_lt(self):
self.assertTrue(Asset(3) < Asset(4))
self.assertFalse(Asset(4) < Asset(4))
self.assertFalse(Asset(5) < Asset(4))
def test_le(self):
self.assertTrue(Asset(3) <= Asset(4))
self.assertTrue(Asset(4) <= Asset(4))
self.assertFalse(Asset(5) <= Asset(4))
def test_eq(self):
self.assertFalse(Asset(3) == Asset(4))
self.assertTrue(Asset(4) == Asset(4))
self.assertFalse(Asset(5) == Asset(4))
def test_ge(self):
self.assertFalse(Asset(3) >= Asset(4))
self.assertTrue(Asset(4) >= Asset(4))
self.assertTrue(Asset(5) >= Asset(4))
def test_gt(self):
self.assertFalse(Asset(3) > Asset(4))
self.assertFalse(Asset(4) > Asset(4))
self.assertTrue(Asset(5) > Asset(4))
def test_type_mismatch(self):
if sys.version_info.major < 3:
self.assertIsNotNone(Asset(3) < 'a')
self.assertIsNotNone('a' < Asset(3))
else:
with self.assertRaises(TypeError):
Asset(3) < 'a'
with self.assertRaises(TypeError):
'a' < Asset(3)
class TestFuture(WithAssetFinder, ZiplineTestCase):
@classmethod
def make_futures_info(cls):
return pd.DataFrame.from_dict(
{
2468: {
'symbol': 'OMH15',
'root_symbol': 'OM',
'notice_date': pd.Timestamp('2014-01-20', tz='UTC'),
'expiration_date': pd.Timestamp('2014-02-20', tz='UTC'),
'auto_close_date': pd.Timestamp('2014-01-18', tz='UTC'),
'tick_size': .01,
'multiplier': 500.0,
},
0: {
'symbol': 'CLG06',
'root_symbol': 'CL',
'start_date': pd.Timestamp('2005-12-01', tz='UTC'),
'notice_date': pd.Timestamp('2005-12-20', tz='UTC'),
'expiration_date': pd.Timestamp('2006-01-20', tz='UTC'),
'multiplier': 1.0,
},
},
orient='index',
)
@classmethod
def init_class_fixtures(cls):
super(TestFuture, cls).init_class_fixtures()
cls.future = cls.asset_finder.lookup_future_symbol('OMH15')
cls.future2 = cls.asset_finder.lookup_future_symbol('CLG06')
def test_str(self):
strd = str(self.future)
self.assertEqual("Future(2468 [OMH15])", strd)
def test_repr(self):
reprd = repr(self.future)
self.assertIn("Future", reprd)
self.assertIn("2468", reprd)
self.assertIn("OMH15", reprd)
self.assertIn("root_symbol=%s'OM'" % ('u' if PY2 else ''), reprd)
self.assertIn(
"notice_date=Timestamp('2014-01-20 00:00:00+0000', tz='UTC')",
reprd,
)
self.assertIn(
"expiration_date=Timestamp('2014-02-20 00:00:00+0000'",
reprd,
)
self.assertIn(
"auto_close_date=Timestamp('2014-01-18 00:00:00+0000'",
reprd,
)
self.assertIn("tick_size=0.01", reprd)
self.assertIn("multiplier=500", reprd)
@raises(AssertionError)
def test_reduce(self):
assert_equal(
pickle.loads(pickle.dumps(self.future)).to_dict(),
self.future.to_dict(),
)
def test_to_and_from_dict(self):
dictd = self.future.to_dict()
for field in _futures_defaults.keys():
self.assertTrue(field in dictd)
from_dict = Future.from_dict(dictd)
self.assertTrue(isinstance(from_dict, Future))
self.assertEqual(self.future, from_dict)
def test_root_symbol(self):
self.assertEqual('OM', self.future.root_symbol)
def test_lookup_future_symbol(self):
"""
Test the lookup_future_symbol method.
"""
om = TestFuture.asset_finder.lookup_future_symbol('OMH15')
self.assertEqual(om.sid, 2468)
self.assertEqual(om.symbol, 'OMH15')
self.assertEqual(om.root_symbol, 'OM')
self.assertEqual(om.notice_date, pd.Timestamp('2014-01-20', tz='UTC'))
self.assertEqual(om.expiration_date,
pd.Timestamp('2014-02-20', tz='UTC'))
self.assertEqual(om.auto_close_date,
pd.Timestamp('2014-01-18', tz='UTC'))
cl = TestFuture.asset_finder.lookup_future_symbol('CLG06')
self.assertEqual(cl.sid, 0)
self.assertEqual(cl.symbol, 'CLG06')
self.assertEqual(cl.root_symbol, 'CL')
self.assertEqual(cl.start_date, pd.Timestamp('2005-12-01', tz='UTC'))
self.assertEqual(cl.notice_date, pd.Timestamp('2005-12-20', tz='UTC'))
self.assertEqual(cl.expiration_date,
pd.Timestamp('2006-01-20', tz='UTC'))
with self.assertRaises(SymbolNotFound):
TestFuture.asset_finder.lookup_future_symbol('')
with self.assertRaises(SymbolNotFound):
TestFuture.asset_finder.lookup_future_symbol('#&?!')
with self.assertRaises(SymbolNotFound):
TestFuture.asset_finder.lookup_future_symbol('FOOBAR')
with self.assertRaises(SymbolNotFound):
TestFuture.asset_finder.lookup_future_symbol('XXX99')
class AssetFinderTestCase(ZiplineTestCase):
asset_finder_type = AssetFinder
def write_assets(self, **kwargs):
self._asset_writer.write(**kwargs)
def init_instance_fixtures(self):
super(AssetFinderTestCase, self).init_instance_fixtures()
conn = self.enter_instance_context(empty_assets_db())
self._asset_writer = AssetDBWriter(conn)
self.asset_finder = self.asset_finder_type(conn)
def test_lookup_symbol_delimited(self):
as_of = pd.Timestamp('2013-01-01', tz='UTC')
frame = pd.DataFrame.from_records(
[
{
'sid': i,
'symbol': 'TEST.%d' % i,
'company_name': "company%d" % i,
'start_date': as_of.value,
'end_date': as_of.value,
'exchange': uuid.uuid4().hex
}
for i in range(3)
]
)
self.write_assets(equities=frame)
finder = self.asset_finder
asset_0, asset_1, asset_2 = (
finder.retrieve_asset(i) for i in range(3)
)
# we do it twice to catch caching bugs
for i in range(2):
with self.assertRaises(SymbolNotFound):
finder.lookup_symbol('TEST', as_of)
with self.assertRaises(SymbolNotFound):
finder.lookup_symbol('TEST1', as_of)
# '@' is not a supported delimiter
with self.assertRaises(SymbolNotFound):
finder.lookup_symbol('TEST@1', as_of)
# Adding an unnecessary fuzzy shouldn't matter.
for fuzzy_char in ['-', '/', '_', '.']:
self.assertEqual(
asset_1,
finder.lookup_symbol('TEST%s1' % fuzzy_char, as_of)
)
def test_lookup_symbol_fuzzy(self):
metadata = pd.DataFrame.from_records([
{'symbol': 'PRTY_HRD'},
{'symbol': 'BRKA'},
{'symbol': 'BRK_A'},
])
self.write_assets(equities=metadata)
finder = self.asset_finder
dt = pd.Timestamp('2013-01-01', tz='UTC')
# Try combos of looking up PRTYHRD with and without a time or fuzzy
# Both non-fuzzys get no result
with self.assertRaises(SymbolNotFound):
finder.lookup_symbol('PRTYHRD', None)
with self.assertRaises(SymbolNotFound):
finder.lookup_symbol('PRTYHRD', dt)
# Both fuzzys work
self.assertEqual(0, finder.lookup_symbol('PRTYHRD', None, fuzzy=True))
self.assertEqual(0, finder.lookup_symbol('PRTYHRD', dt, fuzzy=True))
# Try combos of looking up PRTY_HRD, all returning sid 0
self.assertEqual(0, finder.lookup_symbol('PRTY_HRD', None))
self.assertEqual(0, finder.lookup_symbol('PRTY_HRD', dt))
self.assertEqual(0, finder.lookup_symbol('PRTY_HRD', None, fuzzy=True))
self.assertEqual(0, finder.lookup_symbol('PRTY_HRD', dt, fuzzy=True))
# Try combos of looking up BRKA, all returning sid 1
self.assertEqual(1, finder.lookup_symbol('BRKA', None))
self.assertEqual(1, finder.lookup_symbol('BRKA', dt))
self.assertEqual(1, finder.lookup_symbol('BRKA', None, fuzzy=True))
self.assertEqual(1, finder.lookup_symbol('BRKA', dt, fuzzy=True))
# Try combos of looking up BRK_A, all returning sid 2
self.assertEqual(2, finder.lookup_symbol('BRK_A', None))
self.assertEqual(2, finder.lookup_symbol('BRK_A', dt))
self.assertEqual(2, finder.lookup_symbol('BRK_A', None, fuzzy=True))
self.assertEqual(2, finder.lookup_symbol('BRK_A', dt, fuzzy=True))
def test_lookup_symbol(self):
# Incrementing by two so that start and end dates for each
# generated Asset don't overlap (each Asset's end_date is the
# day after its start date.)
dates = pd.date_range('2013-01-01', freq='2D', periods=5, tz='UTC')
df = pd.DataFrame.from_records(
[
{
'sid': i,
'symbol': 'existing',
'start_date': date.value,
'end_date': (date + timedelta(days=1)).value,
'exchange': 'NYSE',
}
for i, date in enumerate(dates)
]
)
self.write_assets(equities=df)
finder = self.asset_finder
for _ in range(2): # Run checks twice to test for caching bugs.
with self.assertRaises(SymbolNotFound):
finder.lookup_symbol('NON_EXISTING', dates[0])
with self.assertRaises(MultipleSymbolsFound):
finder.lookup_symbol('EXISTING', None)
for i, date in enumerate(dates):
# Verify that we correctly resolve multiple symbols using
# the supplied date
result = finder.lookup_symbol('EXISTING', date)
self.assertEqual(result.symbol, 'EXISTING')
self.assertEqual(result.sid, i)
def test_lookup_symbol_from_multiple_valid(self):
# This test asserts that we resolve conflicts in accordance with the
# following rules when we have multiple assets holding the same symbol
# at the same time:
# If multiple SIDs exist for symbol S at time T, return the candidate
# SID whose start_date is highest. (200 cases)
# If multiple SIDs exist for symbol S at time T, the best candidate
# SIDs share the highest start_date, return the SID with the highest
# end_date. (34 cases)
# It is the opinion of the author (ssanderson) that we should consider
# this malformed input and fail here. But this is the current indended
# behavior of the code, and I accidentally broke it while refactoring.
# These will serve as regression tests until the time comes that we
# decide to enforce this as an error.
# See https://github.com/quantopian/zipline/issues/837 for more
# details.
df = pd.DataFrame.from_records(
[
{
'sid': 1,
'symbol': 'multiple',
'start_date': pd.Timestamp('2010-01-01'),
'end_date': pd.Timestamp('2012-01-01'),
'exchange': 'NYSE'
},
# Same as asset 1, but with a later end date.
{
'sid': 2,
'symbol': 'multiple',
'start_date': pd.Timestamp('2010-01-01'),
'end_date': pd.Timestamp('2013-01-01'),
'exchange': 'NYSE'
},
# Same as asset 1, but with a later start_date
{
'sid': 3,
'symbol': 'multiple',
'start_date': pd.Timestamp('2011-01-01'),
'end_date': pd.Timestamp('2012-01-01'),
'exchange': 'NYSE'
},
]
)
self.write_assets(equities=df)
def check(expected_sid, date):
result = self.asset_finder.lookup_symbol(
'MULTIPLE', date,
)
self.assertEqual(result.symbol, 'MULTIPLE')
self.assertEqual(result.sid, expected_sid)
# Sids 1 and 2 are eligible here. We should get asset 2 because it
# has the later end_date.
check(2, pd.Timestamp('2010-12-31'))
# Sids 1, 2, and 3 are eligible here. We should get sid 3 because
# it has a later start_date
check(3, pd.Timestamp('2011-01-01'))
def test_lookup_generic(self):
"""
Ensure that lookup_generic works with various permutations of inputs.
"""
with build_lookup_generic_cases(self.asset_finder_type) as cases:
for finder, symbols, reference_date, expected in cases:
results, missing = finder.lookup_generic(symbols,
reference_date)
self.assertEqual(results, expected)
self.assertEqual(missing, [])
def test_lookup_generic_handle_missing(self):
data = pd.DataFrame.from_records(
[
{
'sid': 0,
'symbol': 'real',
'start_date': pd.Timestamp('2013-1-1', tz='UTC'),
'end_date': pd.Timestamp('2014-1-1', tz='UTC'),
'exchange': '',
},
{
'sid': 1,
'symbol': 'also_real',
'start_date': pd.Timestamp('2013-1-1', tz='UTC'),
'end_date': pd.Timestamp('2014-1-1', tz='UTC'),
'exchange': '',
},
# Sid whose end date is before our query date. We should
# still correctly find it.
{
'sid': 2,
'symbol': 'real_but_old',
'start_date': pd.Timestamp('2002-1-1', tz='UTC'),
'end_date': pd.Timestamp('2003-1-1', tz='UTC'),
'exchange': '',
},
# Sid whose start_date is **after** our query date. We should
# **not** find it.
{
'sid': 3,
'symbol': 'real_but_in_the_future',
'start_date': pd.Timestamp('2014-1-1', tz='UTC'),
'end_date': pd.Timestamp('2020-1-1', tz='UTC'),
'exchange': 'THE FUTURE',
},
]
)
self.write_assets(equities=data)
finder = self.asset_finder
results, missing = finder.lookup_generic(
['REAL', 1, 'FAKE', 'REAL_BUT_OLD', 'REAL_BUT_IN_THE_FUTURE'],
pd.Timestamp('2013-02-01', tz='UTC'),
)
self.assertEqual(len(results), 3)
self.assertEqual(results[0].symbol, 'REAL')
self.assertEqual(results[0].sid, 0)
self.assertEqual(results[1].symbol, 'ALSO_REAL')
self.assertEqual(results[1].sid, 1)
self.assertEqual(results[2].symbol, 'REAL_BUT_OLD')
self.assertEqual(results[2].sid, 2)
self.assertEqual(len(missing), 2)
self.assertEqual(missing[0], 'FAKE')
self.assertEqual(missing[1], 'REAL_BUT_IN_THE_FUTURE')
def test_security_dates_warning(self):
# Build an asset with an end_date
eq_end = pd.Timestamp('2012-01-01', tz='UTC')
equity_asset = Equity(1, symbol="TESTEQ", end_date=eq_end)
# Catch all warnings
with warnings.catch_warnings(record=True) as w:
# Cause all warnings to always be triggered
warnings.simplefilter("always")
equity_asset.security_start_date
equity_asset.security_end_date
equity_asset.security_name
# Verify the warning
self.assertEqual(3, len(w))
for warning in w:
self.assertTrue(issubclass(warning.category,
DeprecationWarning))
def test_lookup_future_chain(self):
metadata = pd.DataFrame.from_records([
# Notice day is today, so should be valid.
{
'symbol': 'ADN15',
'root_symbol': 'AD',
'notice_date': pd.Timestamp('2015-06-14', tz='UTC'),
'expiration_date': pd.Timestamp('2015-08-14', tz='UTC'),
'start_date': pd.Timestamp('2015-01-01', tz='UTC')
},
{
'symbol': 'ADV15',
'root_symbol': 'AD',
'notice_date': pd.Timestamp('2015-05-14', tz='UTC'),
'expiration_date': pd.Timestamp('2015-09-14', tz='UTC'),
'start_date': pd.Timestamp('2015-01-01', tz='UTC')
},
# Starts trading today, so should be valid.
{
'symbol': 'ADF16',
'root_symbol': 'AD',
'notice_date': pd.Timestamp('2015-11-16', tz='UTC'),
'expiration_date': pd.Timestamp('2015-12-16', tz='UTC'),
'start_date': pd.Timestamp('2015-05-14', tz='UTC')
},
# Starts trading in August, so not valid.
{
'symbol': 'ADX16',
'root_symbol': 'AD',
'notice_date': pd.Timestamp('2015-11-16', tz='UTC'),
'expiration_date': pd.Timestamp('2015-12-16', tz='UTC'),
'start_date': pd.Timestamp('2015-08-01', tz='UTC')
},
# Notice date comes after expiration
{
'symbol': 'ADZ16',
'root_symbol': 'AD',
'notice_date': pd.Timestamp('2016-11-25', tz='UTC'),
'expiration_date': pd.Timestamp('2016-11-16', tz='UTC'),
'start_date': pd.Timestamp('2015-08-01', tz='UTC')
},
# This contract has no start date and also this contract should be
# last in all chains
{
'symbol': 'ADZ20',
'root_symbol': 'AD',
'notice_date': pd.Timestamp('2020-11-25', tz='UTC'),
'expiration_date': pd.Timestamp('2020-11-16', tz='UTC')
},
])
self.write_assets(futures=metadata)
finder = self.asset_finder
dt = pd.Timestamp('2015-05-14', tz='UTC')
dt_2 = pd.Timestamp('2015-10-14', tz='UTC')
dt_3 = pd.Timestamp('2016-11-17', tz='UTC')
# Check that we get the expected number of contracts, in the
# right order
ad_contracts = finder.lookup_future_chain('AD', dt)
self.assertEqual(len(ad_contracts), 6)
self.assertEqual(ad_contracts[0].sid, 1)
self.assertEqual(ad_contracts[1].sid, 0)
self.assertEqual(ad_contracts[5].sid, 5)
# Check that, when some contracts have expired, the chain has advanced
# properly to the next contracts
ad_contracts = finder.lookup_future_chain('AD', dt_2)
self.assertEqual(len(ad_contracts), 4)
self.assertEqual(ad_contracts[0].sid, 2)
self.assertEqual(ad_contracts[3].sid, 5)
# Check that when the expiration_date has passed but the
# notice_date hasn't, contract is still considered invalid.
ad_contracts = finder.lookup_future_chain('AD', dt_3)
self.assertEqual(len(ad_contracts), 1)
self.assertEqual(ad_contracts[0].sid, 5)
# Check that pd.NaT for as_of_date gives the whole chain
ad_contracts = finder.lookup_future_chain('AD', pd.NaT)
self.assertEqual(len(ad_contracts), 6)
self.assertEqual(ad_contracts[5].sid, 5)
def test_map_identifier_index_to_sids(self):
# Build an empty finder and some Assets
dt = pd.Timestamp('2014-01-01', tz='UTC')
finder = self.asset_finder
asset1 = Equity(1, symbol="AAPL")
asset2 = Equity(2, symbol="GOOG")
asset200 = Future(200, symbol="CLK15")
asset201 = Future(201, symbol="CLM15")
# Check for correct mapping and types
pre_map = [asset1, asset2, asset200, asset201]
post_map = finder.map_identifier_index_to_sids(pre_map, dt)
self.assertListEqual([1, 2, 200, 201], post_map)
for sid in post_map:
self.assertIsInstance(sid, int)
# Change order and check mapping again
pre_map = [asset201, asset2, asset200, asset1]
post_map = finder.map_identifier_index_to_sids(pre_map, dt)
self.assertListEqual([201, 2, 200, 1], post_map)
def test_compute_lifetimes(self):
num_assets = 4
first_start = pd.Timestamp('2015-04-01', tz='UTC')
frame = make_rotating_equity_info(
num_assets=num_assets,
first_start=first_start,
frequency=trading_day,
periods_between_starts=3,
asset_lifetime=5
)
self.write_assets(equities=frame)
finder = self.asset_finder
all_dates = pd.date_range(
start=first_start,
end=frame.end_date.max(),
freq=trading_day,
)
for dates in all_subindices(all_dates):
expected_with_start_raw = full(
shape=(len(dates), num_assets),
fill_value=False,
dtype=bool,
)
expected_no_start_raw = full(
shape=(len(dates), num_assets),
fill_value=False,
dtype=bool,
)
for i, date in enumerate(dates):
it = frame[['start_date', 'end_date']].itertuples()
for j, start, end in it:
# This way of doing the checks is redundant, but very
# clear.
if start <= date <= end:
expected_with_start_raw[i, j] = True
if start < date:
expected_no_start_raw[i, j] = True
expected_with_start = pd.DataFrame(
data=expected_with_start_raw,
index=dates,
columns=frame.index.values,
)
result = finder.lifetimes(dates, include_start_date=True)
assert_frame_equal(result, expected_with_start)
expected_no_start = pd.DataFrame(
data=expected_no_start_raw,
index=dates,
columns=frame.index.values,
)
result = finder.lifetimes(dates, include_start_date=False)
assert_frame_equal(result, expected_no_start)
def test_sids(self):
# Ensure that the sids property of the AssetFinder is functioning
self.write_assets(equities=make_simple_equity_info(
[0, 1, 2],
pd.Timestamp('2014-01-01'),
pd.Timestamp('2014-01-02'),
))
self.assertEqual({0, 1, 2}, set(self.asset_finder.sids))
def test_group_by_type(self):
equities = make_simple_equity_info(
range(5),
start_date=pd.Timestamp('2014-01-01'),
end_date=pd.Timestamp('2015-01-01'),
)
futures = make_commodity_future_info(
first_sid=6,
root_symbols=['CL'],
years=[2014],
)
# Intersecting sid queries, to exercise loading of partially-cached
# results.
queries = [
([0, 1, 3], [6, 7]),
([0, 2, 3], [7, 10]),
(list(equities.index), list(futures.index)),
]
self.write_assets(
equities=equities,
futures=futures,
)
finder = self.asset_finder
for equity_sids, future_sids in queries:
results = finder.group_by_type(equity_sids + future_sids)
self.assertEqual(
results,
{'equity': set(equity_sids), 'future': set(future_sids)},
)
@parameterized.expand([
(Equity, 'retrieve_equities', EquitiesNotFound),
(Future, 'retrieve_futures_contracts', FutureContractsNotFound),
])
def test_retrieve_specific_type(self, type_, lookup_name, failure_type):
equities = make_simple_equity_info(
range(5),
start_date=pd.Timestamp('2014-01-01'),
end_date=pd.Timestamp('2015-01-01'),
)
max_equity = equities.index.max()
futures = make_commodity_future_info(
first_sid=max_equity + 1,
root_symbols=['CL'],
years=[2014],
)
equity_sids = [0, 1]
future_sids = [max_equity + 1, max_equity + 2, max_equity + 3]
if type_ == Equity:
success_sids = equity_sids
fail_sids = future_sids
else:
fail_sids = equity_sids
success_sids = future_sids
self.write_assets(
equities=equities,
futures=futures,
)
finder = self.asset_finder
# Run twice to exercise caching.
lookup = getattr(finder, lookup_name)
for _ in range(2):
results = lookup(success_sids)
self.assertIsInstance(results, dict)
self.assertEqual(set(results.keys()), set(success_sids))
self.assertEqual(
valmap(int, results),
dict(zip(success_sids, success_sids)),
)
self.assertEqual(
{type_},
{type(asset) for asset in itervalues(results)},
)
with self.assertRaises(failure_type):
lookup(fail_sids)
with self.assertRaises(failure_type):
# Should fail if **any** of the assets are bad.
lookup([success_sids[0], fail_sids[0]])
def test_retrieve_all(self):
equities = make_simple_equity_info(
range(5),
start_date=pd.Timestamp('2014-01-01'),
end_date=pd.Timestamp('2015-01-01'),
)
max_equity = equities.index.max()
futures = make_commodity_future_info(
first_sid=max_equity + 1,
root_symbols=['CL'],
years=[2014],
)
self.write_assets(
equities=equities,
futures=futures,
)
finder = self.asset_finder
all_sids = finder.sids
self.assertEqual(len(all_sids), len(equities) + len(futures))
queries = [
# Empty Query.
(),
# Only Equities.
tuple(equities.index[:2]),
# Only Futures.
tuple(futures.index[:3]),
# Mixed, all cache misses.
tuple(equities.index[2:]) + tuple(futures.index[3:]),
# Mixed, all cache hits.
tuple(equities.index[2:]) + tuple(futures.index[3:]),
# Everything.
all_sids,
all_sids,
]
for sids in queries:
equity_sids = [i for i in sids if i <= max_equity]
future_sids = [i for i in sids if i > max_equity]
results = finder.retrieve_all(sids)
self.assertEqual(sids, tuple(map(int, results)))
self.assertEqual(
[Equity for _ in equity_sids] +
[Future for _ in future_sids],
list(map(type, results)),
)
self.assertEqual(
(
list(equities.symbol.loc[equity_sids]) +
list(futures.symbol.loc[future_sids])
),
list(asset.symbol for asset in results),
)
@parameterized.expand([
(EquitiesNotFound, 'equity', 'equities'),
(FutureContractsNotFound, 'future contract', 'future contracts'),
(SidsNotFound, 'asset', 'assets'),
])
def test_error_message_plurality(self,
error_type,
singular,
plural):
try:
raise error_type(sids=[1])
except error_type as e:
self.assertEqual(
str(e),
"No {singular} found for sid: 1.".format(singular=singular)
)
try:
raise error_type(sids=[1, 2])
except error_type as e:
self.assertEqual(
str(e),
"No {plural} found for sids: [1, 2].".format(plural=plural)
)
class AssetFinderCachedEquitiesTestCase(AssetFinderTestCase):
asset_finder_type = AssetFinderCachedEquities
def write_assets(self, **kwargs):
super(AssetFinderCachedEquitiesTestCase, self).write_assets(**kwargs)
self.asset_finder.rehash_equities()
class TestFutureChain(WithAssetFinder, ZiplineTestCase):
@classmethod
def make_futures_info(cls):
return pd.DataFrame.from_records([
{
'symbol': 'CLG06',
'root_symbol': 'CL',
'start_date': pd.Timestamp('2005-12-01', tz='UTC'),
'notice_date': pd.Timestamp('2005-12-20', tz='UTC'),
'expiration_date': pd.Timestamp('2006-01-20', tz='UTC'),
},
{
'root_symbol': 'CL',
'symbol': 'CLK06',
'start_date': pd.Timestamp('2005-12-01', tz='UTC'),
'notice_date': pd.Timestamp('2006-03-20', tz='UTC'),
'expiration_date': pd.Timestamp('2006-04-20', tz='UTC'),
},
{
'symbol': 'CLQ06',
'root_symbol': 'CL',
'start_date': pd.Timestamp('2005-12-01', tz='UTC'),
'notice_date': pd.Timestamp('2006-06-20', tz='UTC'),
'expiration_date': pd.Timestamp('2006-07-20', tz='UTC'),
},
{
'symbol': 'CLX06',
'root_symbol': 'CL',
'start_date': pd.Timestamp('2006-02-01', tz='UTC'),
'notice_date': pd.Timestamp('2006-09-20', tz='UTC'),
'expiration_date': pd.Timestamp('2006-10-20', tz='UTC'),
}
])
def test_len(self):
""" Test the __len__ method of FutureChain.
"""
# Sids 0, 1, & 2 have started, 3 has not yet started, but all are in
# the chain
cl = FutureChain(self.asset_finder, lambda: '2005-12-01', 'CL')
self.assertEqual(len(cl), 4)
# Sid 0 is still valid on its notice date.
cl = FutureChain(self.asset_finder, lambda: '2005-12-20', 'CL')
self.assertEqual(len(cl), 4)
# Sid 0 is now invalid, leaving Sids 1 & 2 valid (and 3 not started).
cl = FutureChain(self.asset_finder, lambda: '2005-12-21', 'CL')
self.assertEqual(len(cl), 3)
# Sid 3 has started, so 1, 2, & 3 are now valid.
cl = FutureChain(self.asset_finder, lambda: '2006-02-01', 'CL')
self.assertEqual(len(cl), 3)
# All contracts are no longer valid.
cl = FutureChain(self.asset_finder, lambda: '2006-09-21', 'CL')
self.assertEqual(len(cl), 0)
def test_getitem(self):
""" Test the __getitem__ method of FutureChain.
"""
cl = FutureChain(self.asset_finder, lambda: '2005-12-01', 'CL')
self.assertEqual(cl[0], 0)
self.assertEqual(cl[1], 1)
self.assertEqual(cl[2], 2)
cl = FutureChain(self.asset_finder, lambda: '2005-12-20', 'CL')
self.assertEqual(cl[0], 0)
cl = FutureChain(self.asset_finder, lambda: '2005-12-21', 'CL')
self.assertEqual(cl[0], 1)
cl = FutureChain(self.asset_finder, lambda: '2006-02-01', 'CL')
self.assertEqual(cl[-1], 3)
def test_iter(self):
""" Test the __iter__ method of FutureChain.
"""
cl = FutureChain(self.asset_finder, lambda: '2005-12-01', 'CL')
for i, contract in enumerate(cl):
self.assertEqual(contract, i)
# First contract is now invalid, so sids will be offset by one
cl = FutureChain(self.asset_finder, lambda: '2005-12-21', 'CL')
for i, contract in enumerate(cl):
self.assertEqual(contract, i + 1)
def test_root_symbols(self):
""" Test that different variations on root symbols are handled
as expected.
"""
# Make sure this successfully gets the chain for CL.
cl = FutureChain(self.asset_finder, lambda: '2005-12-01', 'CL')
self.assertEqual(cl.root_symbol, 'CL')
# These root symbols don't exist, so RootSymbolNotFound should
# be raised immediately.
with self.assertRaises(RootSymbolNotFound):
FutureChain(self.asset_finder, lambda: '2005-12-01', 'CLZ')
with self.assertRaises(RootSymbolNotFound):
FutureChain(self.asset_finder, lambda: '2005-12-01', '')
def test_repr(self):
""" Test the __repr__ method of FutureChain.
"""
cl = FutureChain(self.asset_finder, lambda: '2005-12-01', 'CL')
cl_feb = FutureChain(self.asset_finder, lambda: '2005-12-01', 'CL',
as_of_date=pd.Timestamp('2006-02-01', tz='UTC'))
# The default chain should not include the as of date.
self.assertEqual(repr(cl), "FutureChain(root_symbol='CL')")
# An explicit as of date should show up in the repr.
self.assertEqual(
repr(cl_feb),
("FutureChain(root_symbol='CL', "
"as_of_date='2006-02-01 00:00:00+00:00')")
)
def test_as_of(self):
""" Test the as_of method of FutureChain.
"""
cl = FutureChain(self.asset_finder, lambda: '2005-12-01', 'CL')
# Test that the as_of_date is set correctly to the future
feb = pd.Timestamp('2006-02-01', tz='UTC')
cl_feb = cl.as_of(feb)
self.assertEqual(
cl_feb.as_of_date,
pd.Timestamp(feb, tz='UTC')
)
# Test that the as_of_date is set correctly to the past, with
# args of str, datetime.datetime, and pd.Timestamp.
feb_prev = pd.Timestamp('2005-02-01', tz='UTC')
cl_feb_prev = cl.as_of(feb_prev)
self.assertEqual(
cl_feb_prev.as_of_date,
pd.Timestamp(feb_prev, tz='UTC')
)
feb_prev = pd.Timestamp(datetime(year=2005, month=2, day=1), tz='UTC')
cl_feb_prev = cl.as_of(feb_prev)
self.assertEqual(
cl_feb_prev.as_of_date,
pd.Timestamp(feb_prev, tz='UTC')
)
feb_prev = pd.Timestamp('2005-02-01', tz='UTC')
cl_feb_prev = cl.as_of(feb_prev)
self.assertEqual(
cl_feb_prev.as_of_date,
pd.Timestamp(feb_prev, tz='UTC')
)
# Test that the as_of() method works with str args
feb_str = '2006-02-01'
cl_feb = cl.as_of(feb_str)
self.assertEqual(
cl_feb.as_of_date,
pd.Timestamp(feb, tz='UTC')
)
# The chain as of the current dt should always be the same as
# the defualt chain.
self.assertEqual(cl[0], cl.as_of(pd.Timestamp('2005-12-01'))[0])
def test_offset(self):
""" Test the offset method of FutureChain.
"""
cl = FutureChain(self.asset_finder, lambda: '2005-12-01', 'CL')
# Test that an offset forward sets as_of_date as expected
self.assertEqual(
cl.offset('3 days').as_of_date,
cl.as_of_date + pd.Timedelta(days=3)
)
# Test that an offset backward sets as_of_date as expected, with
# time delta given as str, datetime.timedelta, and pd.Timedelta.
self.assertEqual(
cl.offset('-1000 days').as_of_date,
cl.as_of_date + pd.Timedelta(days=-1000)
)
self.assertEqual(
cl.offset(timedelta(days=-1000)).as_of_date,
cl.as_of_date + pd.Timedelta(days=-1000)
)
self.assertEqual(
cl.offset(pd.Timedelta('-1000 days')).as_of_date,
cl.as_of_date + pd.Timedelta(days=-1000)
)
# An offset of zero should give the original chain.
self.assertEqual(cl[0], cl.offset(0)[0])
self.assertEqual(cl[0], cl.offset("0 days")[0])
# A string that doesn't represent a time delta should raise a
# ValueError.
with self.assertRaises(ValueError):
cl.offset("blah")
def test_cme_code_to_month(self):
codes = {
'F': 1, # January
'G': 2, # February
'H': 3, # March
'J': 4, # April
'K': 5, # May
'M': 6, # June
'N': 7, # July
'Q': 8, # August
'U': 9, # September
'V': 10, # October
'X': 11, # November
'Z': 12 # December
}
for key in codes:
self.assertEqual(codes[key], cme_code_to_month(key))
def test_month_to_cme_code(self):
codes = {
1: 'F', # January
2: 'G', # February
3: 'H', # March
4: 'J', # April
5: 'K', # May
6: 'M', # June
7: 'N', # July
8: 'Q', # August
9: 'U', # September
10: 'V', # October
11: 'X', # November
12: 'Z', # December
}
for key in codes:
self.assertEqual(codes[key], month_to_cme_code(key))
class TestAssetDBVersioning(ZiplineTestCase):
def init_instance_fixtures(self):
super(TestAssetDBVersioning, self).init_instance_fixtures()
self.engine = eng = self.enter_instance_context(empty_assets_db())
self.metadata = sa.MetaData(eng, reflect=True)
def test_check_version(self):
version_table = self.metadata.tables['version_info']
# This should not raise an error
check_version_info(version_table, ASSET_DB_VERSION)
# This should fail because the version is too low
with self.assertRaises(AssetDBVersionError):
check_version_info(version_table, ASSET_DB_VERSION - 1)
# This should fail because the version is too high
with self.assertRaises(AssetDBVersionError):
check_version_info(version_table, ASSET_DB_VERSION + 1)
def test_write_version(self):
version_table = self.metadata.tables['version_info']
version_table.delete().execute()
# Assert that the version is not present in the table
self.assertIsNone(sa.select((version_table.c.version,)).scalar())
# This should fail because the table has no version info and is,
# therefore, consdered v0
with self.assertRaises(AssetDBVersionError):
check_version_info(version_table, -2)
# This should not raise an error because the version has been written
write_version_info(version_table, -2)
check_version_info(version_table, -2)
# Assert that the version is in the table and correct
self.assertEqual(sa.select((version_table.c.version,)).scalar(), -2)
# Assert that trying to overwrite the version fails
with self.assertRaises(sa.exc.IntegrityError):
write_version_info(version_table, -3)
def test_finder_checks_version(self):
version_table = self.metadata.tables['version_info']
version_table.delete().execute()
write_version_info(version_table, -2)
check_version_info(version_table, -2)
# Assert that trying to build a finder with a bad db raises an error
with self.assertRaises(AssetDBVersionError):
AssetFinder(engine=self.engine)
# Change the version number of the db to the correct version
version_table.delete().execute()
write_version_info(version_table, ASSET_DB_VERSION)
check_version_info(version_table, ASSET_DB_VERSION)
# Now that the versions match, this Finder should succeed
AssetFinder(engine=self.engine)
def test_downgrade(self):
# Attempt to downgrade a current assets db all the way down to v0
conn = self.engine.connect()
downgrade(self.engine, 0)
# Verify that the db version is now 0
metadata = sa.MetaData(conn)
metadata.reflect(bind=self.engine)
version_table = metadata.tables['version_info']
check_version_info(version_table, 0)
# Check some of the v1-to-v0 downgrades
self.assertTrue('futures_contracts' in metadata.tables)
self.assertTrue('version_info' in metadata.tables)
self.assertFalse('tick_size' in
metadata.tables['futures_contracts'].columns)
self.assertTrue('contract_multiplier' in
metadata.tables['futures_contracts'].columns)
def test_impossible_downgrade(self):
# Attempt to downgrade a current assets db to a
# higher-than-current version
with self.assertRaises(AssetDBImpossibleDowngrade):
downgrade(self.engine, ASSET_DB_VERSION + 5)
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