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catalyst/tests/test_assets.py
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jfkirk 258b5ea2ca API: DataFrame/Panel sources expect integer sids, not identifiers 
This commit modifies the DataFrameSource and DataPanelSource to accept only Int64Indexes on the incoming data and moves the burden of mapping user identifiers to TradingAlgorithm.run().
2015-07-01 13:43:31 -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
"""
import sys
from unittest import TestCase
from datetime import (
timedelta,
datetime
)
import pickle
import pprint
import uuid
import warnings
import pandas as pd
from nose_parameterized import parameterized
from zipline.finance.trading import with_environment
from zipline.assets import Asset, Equity, Future, AssetFinder
from zipline.errors import (
SymbolNotFound,
MultipleSymbolsFound,
SidAssignmentError,
)
def build_lookup_generic_cases():
"""
Generate test cases for AssetFinder 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,
'file_name': 'duplicated',
'company_name': 'duplicated_0',
'start_date_nano': dupe_0_start.value,
'end_date_nano': dupe_0_end.value,
'exchange': '',
},
{
'sid': 1,
'file_name': 'duplicated',
'company_name': 'duplicated_1',
'start_date_nano': dupe_1_start.value,
'end_date_nano': dupe_1_end.value,
'exchange': '',
},
{
'sid': 2,
'file_name': 'unique',
'company_name': 'unique',
'start_date_nano': unique_start.value,
'end_date_nano': unique_end.value,
'exchange': '',
},
],
)
finder = AssetFinder(metadata=frame)
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
cases = [
##
# 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]),
]
return cases
class AssetTestCase(TestCase):
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_asset_is_pickleable(self):
# Very wow
s = 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'),
exchange='THE MOON',
)
s_unpickled = pickle.loads(pickle.dumps(s))
attrs_to_check = ['end_date',
'exchange',
'first_traded',
'end_date',
'asset_name',
'start_date',
'sid',
'start_date',
'symbol']
for attr in attrs_to_check:
self.assertEqual(getattr(s, attr), getattr(s_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.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)
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(TestCase):
future = Future(
2468,
symbol='OMH15',
root_symbol='OM',
notice_date=pd.Timestamp('2014-01-20', tz='UTC'),
expiration_date=pd.Timestamp('2014-02-20', tz='UTC'),
contract_multiplier=500
)
def test_str(self):
strd = self.future.__str__()
self.assertEqual("Future(2468 [OMH15])", strd)
def test_repr(self):
reprd = self.future.__repr__()
self.assertTrue("Future" in reprd)
self.assertTrue("2468" in reprd)
self.assertTrue("OMH15" in reprd)
self.assertTrue("root_symbol='OM'" in reprd)
self.assertTrue(("notice_date=Timestamp('2014-01-20 00:00:00+0000', "
"tz='UTC')") in reprd)
self.assertTrue("expiration_date=Timestamp('2014-02-20 00:00:00+0000'"
in reprd)
self.assertTrue("contract_multiplier=500" in reprd)
def test_reduce(self):
reduced = self.future.__reduce__()
self.assertEqual(Future, reduced[0])
def test_to_and_from_dict(self):
dictd = self.future.to_dict()
self.assertTrue('root_symbol' in dictd)
self.assertTrue('notice_date' in dictd)
self.assertTrue('expiration_date' in dictd)
self.assertTrue('contract_multiplier' 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)
class AssetFinderTestCase(TestCase):
def test_lookup_symbol_fuzzy(self):
as_of = pd.Timestamp('2013-01-01', tz='UTC')
frame = pd.DataFrame.from_records(
[
{
'sid': i,
'file_name': 'TEST@%d' % i,
'company_name': "company%d" % i,
'start_date_nano': as_of.value,
'end_date_nano': as_of.value,
'exchange': uuid.uuid4().hex,
}
for i in range(3)
]
)
finder = AssetFinder(frame)
asset_0, asset_1, asset_2 = (
finder.retrieve_asset(i) for i in range(3)
)
for i in range(2): # we do it twice to test for caching bugs
self.assertIsNone(finder.lookup_symbol('test', as_of))
self.assertEqual(
asset_1,
finder.lookup_symbol('test@1', as_of)
)
# Adding an unnecessary fuzzy shouldn't matter.
self.assertEqual(
asset_1,
finder.lookup_symbol('test@1', as_of, fuzzy='@')
)
# Shouldn't find this with no fuzzy_str passed.
self.assertIsNone(finder.lookup_symbol('test1', as_of))
# Shouldn't find this with an incorrect fuzzy_str.
self.assertIsNone(finder.lookup_symbol('test1', as_of, fuzzy='*'))
# Should find it with the correct fuzzy_str.
self.assertEqual(
asset_1,
finder.lookup_symbol('test1', as_of, fuzzy='@'),
)
def test_lookup_symbol_resolve_multiple(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,
'file_name': 'existing',
'company_name': 'existing',
'start_date_nano': date.value,
'end_date_nano': (date + timedelta(days=1)).value,
'exchange': 'NYSE',
}
for i, date in enumerate(dates)
]
)
finder = AssetFinder(df)
for _ in range(2): # Run checks twice to test for caching bugs.
with self.assertRaises(SymbolNotFound):
finder.lookup_symbol_resolve_multiple('non_existing', dates[0])
with self.assertRaises(MultipleSymbolsFound):
finder.lookup_symbol_resolve_multiple('existing', None)
for i, date in enumerate(dates):
# Verify that we correctly resolve multiple symbols using
# the supplied date
result = finder.lookup_symbol_resolve_multiple(
'existing',
date,
)
self.assertEqual(result.symbol, 'existing')
self.assertEqual(result.sid, i)
@with_environment()
def test_lookup_symbol_nasdaq_underscore_collisions(self, env=None):
"""
Ensure that each NASDAQ symbol without underscores maps back to the
original symbol when using fuzzy matching.
"""
sf = env.asset_finder
fuzzy_str = '_'
collisions = []
try:
for sid in sf.sids:
sec = sf.retrieve_asset(sid)
if sec.exchange.startswith('NASDAQ'):
found = sf.lookup_symbol(sec.symbol.replace(fuzzy_str, ''),
sec.end_date, fuzzy=fuzzy_str)
if found != sec:
collisions.append((found, sec))
# KNOWN BUG: Filter out assets that have intersections in their
# start and end dates. We can't correctly resolve these.
unexpected_errors = []
for first, second in collisions:
overlapping_dates = (
first.end_date >= second.start_date or
second.end_date >= first.end_date
)
if not overlapping_dates:
unexpected_errors.append((first, second))
self.assertFalse(
unexpected_errors,
pprint.pformat(unexpected_errors),
)
finally:
env.update_asset_finder(clear_metadata=True)
@parameterized.expand(
build_lookup_generic_cases()
)
def test_lookup_generic(self, finder, symbols, reference_date, expected):
"""
Ensure that lookup_generic works with various permutations of inputs.
"""
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(
[
# Sids that will be found when we do lookups.
{
'sid': 0,
'file_name': 'real',
'company_name': 'real',
'start_date_nano': pd.Timestamp('2013-1-1', tz='UTC'),
'end_date_nano': pd.Timestamp('2014-1-1', tz='UTC'),
'exchange': '',
},
{
'sid': 1,
'file_name': 'also_real',
'company_name': 'also_real',
'start_date_nano': pd.Timestamp('2013-1-1', tz='UTC'),
'end_date_nano': 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,
'file_name': 'real_but_old',
'company_name': 'real_but_old',
'start_date_nano': pd.Timestamp('2002-1-1', tz='UTC'),
'end_date_nano': pd.Timestamp('2003-1-1', tz='UTC'),
'exchange': '',
},
# Sid whose end date is before our query date. We should
# still correctly find it.
{
'sid': 3,
'file_name': 'real_but_in_the_future',
'company_name': 'real_but_in_the_future',
'start_date_nano': pd.Timestamp('2014-1-1', tz='UTC'),
'end_date_nano': pd.Timestamp('2020-1-1', tz='UTC'),
'exchange': 'THE FUTURE',
},
]
)
finder = AssetFinder(data)
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(len(missing), 2)
self.assertEqual(missing[0], 'fake')
self.assertEqual(missing[1], 'real_but_in_the_future')
def test_insert_metadata(self):
finder = AssetFinder()
finder.insert_metadata(0,
asset_type='equity',
start_date='2014-01-01',
end_date='2015-01-01',
symbol="PLAY",
foo_data="FOO",)
# Test proper insertion
self.assertEqual('equity', finder.metadata_cache[0]['asset_type'])
self.assertEqual('PLAY', finder.metadata_cache[0]['symbol'])
self.assertEqual('2015-01-01', finder.metadata_cache[0]['end_date'])
# Test invalid field
self.assertFalse('foo_data' in finder.metadata_cache[0])
# Test updating fields
finder.insert_metadata(0,
asset_type='equity',
start_date='2014-01-01',
end_date='2015-02-01',
symbol="PLAY",
exchange="NYSE",)
self.assertEqual('2015-02-01', finder.metadata_cache[0]['end_date'])
self.assertEqual('NYSE', finder.metadata_cache[0]['exchange'])
# Check that old data survived
self.assertEqual('PLAY', finder.metadata_cache[0]['symbol'])
def test_consume_metadata(self):
# Test dict consumption
finder = AssetFinder({0: {'asset_type': 'equity'}})
dict_to_consume = {0: {'symbol': 'PLAY'},
1: {'symbol': 'MSFT'}}
finder.consume_metadata(dict_to_consume)
self.assertEqual('equity', finder.metadata_cache[0]['asset_type'])
self.assertEqual('PLAY', finder.metadata_cache[0]['symbol'])
# Test dataframe consumption
df = pd.DataFrame(columns=['asset_name', 'exchange'], index=[0, 1])
df['asset_name'][0] = "Dave'N'Busters"
df['exchange'][0] = "NASDAQ"
df['asset_name'][1] = "Microsoft"
df['exchange'][1] = "NYSE"
finder.consume_metadata(df)
self.assertEqual('NASDAQ', finder.metadata_cache[0]['exchange'])
self.assertEqual('Microsoft', finder.metadata_cache[1]['asset_name'])
# Check that old data survived
self.assertEqual('equity', finder.metadata_cache[0]['asset_type'])
def test_consume_asset_as_identifier(self):
# Build some end dates
eq_end = pd.Timestamp('2012-01-01', tz='UTC')
fut_end = pd.Timestamp('2008-01-01', tz='UTC')
# Build some simple Assets
equity_asset = Equity(1, symbol="TESTEQ", end_date=eq_end)
future_asset = Future(200, symbol="TESTFUT", end_date=fut_end)
# Consume the Assets
finder = AssetFinder()
finder.consume_identifiers([equity_asset, future_asset])
finder.populate_cache()
# Test equality with newly built Assets
self.assertEqual(equity_asset, finder.retrieve_asset(1))
self.assertEqual(future_asset, finder.retrieve_asset(200))
self.assertEqual(eq_end, finder.retrieve_asset(1).end_date)
self.assertEqual(fut_end, finder.retrieve_asset(200).end_date)
def test_sid_assignment(self):
# This metadata does not contain SIDs
metadata = {'PLAY': {'symbol': 'PLAY'},
'MSFT': {'symbol': 'MSFT'}}
# Build a finder that is allowed to assign sids
finder = AssetFinder(metadata=metadata, allow_sid_assignment=True)
# Verify that Assets were built and different sids were assigned
play = finder.lookup_symbol('PLAY', datetime.now())
msft = finder.lookup_symbol('MSFT', datetime.now())
self.assertEqual('PLAY', play.symbol)
self.assertIsNotNone(play.sid)
self.assertNotEqual(play.sid, msft.sid)
def test_sid_assignment_failure(self):
# This metadata does not contain SIDs
metadata = {'PLAY': {'symbol': 'PLAY'},
'MSFT': {'symbol': 'MSFT'}}
# Build a finder that is not allowed to assign sids, asserting failure
with self.assertRaises(SidAssignmentError):
AssetFinder(metadata=metadata, allow_sid_assignment=False)
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_in_chain(self):
metadata = {
2: {
'symbol': 'ADN15',
'root_symbol': 'AD',
'asset_type': 'future',
'expiration_date': pd.Timestamp('2015-06-15', tz='UTC'),
'start_date': pd.Timestamp('2015-01-01', tz='UTC')
},
1: {
'symbol': 'ADV15',
'root_symbol': 'AD',
'asset_type': 'future',
'expiration_date': pd.Timestamp('2015-09-14', tz='UTC'),
'start_date': pd.Timestamp('2015-01-01', tz='UTC')
},
0: {
'symbol': 'ADF16',
'root_symbol': 'AD',
'asset_type': 'future',
'expiration_date': pd.Timestamp('2015-12-14', tz='UTC'),
'start_date': pd.Timestamp('2015-01-01', tz='UTC')
},
}
finder = AssetFinder(metadata=metadata)
dt = pd.Timestamp('2015-06-19', tz='UTC')
# Check that the primary and secondary contracts are as expected
primary = finder.lookup_future_in_chain('AD', dt, 0)
secondary = finder.lookup_future_in_chain('AD', dt, 1)
self.assertEqual(primary.sid, 1)
self.assertEqual(secondary.sid, 0)
# Check that we get None for an invalid contract num
self.assertIsNone(finder.lookup_future_in_chain('AD', dt, -10))
self.assertIsNone(finder.lookup_future_in_chain('AD', dt, 10))
self.assertIsNone(finder.lookup_future_in_chain('CL', dt, 1))
def test_lookup_future_chain(self):
metadata = {
2: {
'symbol': 'ADN15',
'root_symbol': 'AD',
'asset_type': 'future',
'expiration_date': pd.Timestamp('2015-06-15', tz='UTC'),
'start_date': pd.Timestamp('2015-01-01', tz='UTC')
},
1: {
'symbol': 'ADV15',
'root_symbol': 'AD',
'asset_type': 'future',
'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.
0: {
'symbol': 'ADF16',
'root_symbol': 'AD',
'asset_type': 'future',
'expiration_date': pd.Timestamp('2015-12-14', tz='UTC'),
'start_date': pd.Timestamp('2015-06-19', tz='UTC')
},
# Copy of the above future, but starts trading in August,
# so it isn't valid.
3: {
'symbol': 'ADF16',
'root_symbol': 'AD',
'asset_type': 'future',
'expiration_date': pd.Timestamp('2015-12-14', tz='UTC'),
'start_date': pd.Timestamp('2015-08-01', tz='UTC')
},
}
finder = AssetFinder(metadata=metadata)
dt = pd.Timestamp('2015-06-19', tz='UTC')
# Check that we get the expected number of contract, in the
# right order
ad_contracts = finder.lookup_future_chain('AD', dt)
self.assertEqual(len(ad_contracts), 2)
self.assertEqual(ad_contracts[0].sid, 1)
self.assertEqual(ad_contracts[1].sid, 0)
def test_lookup_future_by_expiration(self):
metadata = {
2: {
'symbol': 'ADN15',
'root_symbol': 'AD',
'asset_type': 'future',
'expiration_date': pd.Timestamp('2015-06-15', tz='UTC'),
'start_date': pd.Timestamp('2015-01-01', tz='UTC')
},
1: {
'symbol': 'ADV15',
'root_symbol': 'AD',
'asset_type': 'future',
'expiration_date': pd.Timestamp('2015-09-14', tz='UTC'),
'start_date': pd.Timestamp('2015-01-01', tz='UTC')
},
0: {
'symbol': 'ADF16',
'root_symbol': 'AD',
'asset_type': 'future',
'expiration_date': pd.Timestamp('2015-12-14', tz='UTC'),
'start_date': pd.Timestamp('2015-01-01', tz='UTC')
},
}
finder = AssetFinder(metadata=metadata)
dt = pd.Timestamp('2015-06-19', tz='UTC')
# First-of-the-month timestamps
may_15 = pd.Timestamp('2015-05-01', tz='UTC')
june_15 = pd.Timestamp('2015-06-01', tz='UTC')
sept_15 = pd.Timestamp('2015-09-01', tz='UTC')
dec_15 = pd.Timestamp('2015-12-01', tz='UTC')
jan_16 = pd.Timestamp('2016-01-01', tz='UTC')
# ADV15 is the next valid contract, so check that we get it
# for every ref_date before 9/14/15
contract = finder.lookup_future_by_expiration('AD', dt, may_15)
self.assertEqual(contract.sid, 1)
contract = finder.lookup_future_by_expiration('AD', dt, june_15)
self.assertEqual(contract.sid, 1)
contract = finder.lookup_future_by_expiration('AD', dt, sept_15)
self.assertEqual(contract.sid, 1)
# ADF16 has the next expiration date after 12/1/15
contract = finder.lookup_future_by_expiration('AD', dt, dec_15)
self.assertEqual(contract.sid, 0)
# No contracts exist after 12/14/2015, so we should get none
self.assertIsNone(finder.lookup_future_by_expiration('AD', dt, jan_16))
def test_map_identifier_list_to_sids(self):
# Build an empty finder and some Assets
dt = pd.Timestamp('2014-01-01', tz='UTC')
finder = AssetFinder()
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_list_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_list_to_sids(pre_map, dt)
self.assertListEqual([201, 2, 200, 1], post_map)
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