zipline/tests/test_algorithm.py
2012-09-21 12:00:09 -04:00

57 lines
2.2 KiB
Python

from unittest2 import TestCase
from datetime import timedelta
from zipline.utils.test_utils import setup_logger
import zipline.utils.factory as factory
from zipline.test_algorithms import TestRegisterTransformAlgorithm
from zipline.gens.tradegens import SpecificEquityTrades, DataFrameSource
from zipline.gens.mavg import MovingAverage
class TestTransformAlgorithm(TestCase):
def setUp(self):
setup_logger(self)
self.trading_environment = factory.create_trading_environment()
setup_logger(self)
trade_history = factory.create_trade_history(
133,
[10.0, 10.0, 11.0, 11.0],
[100, 100, 100, 300],
timedelta(days=1),
self.trading_environment
)
self.source = SpecificEquityTrades(event_list=trade_history)
self.df_source, self.df = factory.create_test_df_source()
def test_source_as_input(self):
algo = TestRegisterTransformAlgorithm(sids=[133])
algo.run(self.source)
self.assertEqual(len(algo.sources), 1)
assert isinstance(algo.sources[0], SpecificEquityTrades)
def test_multi_source_as_input_no_start_end(self):
algo = TestRegisterTransformAlgorithm(sids=[133])
with self.assertRaises(AssertionError):
algo.run([self.source, self.df_source])
def test_multi_source_as_input(self):
algo = TestRegisterTransformAlgorithm(sids=[0, 1, 133])
algo.run([self.source, self.df_source], start=self.df.index[0], end=self.df.index[-1])
self.assertEqual(len(algo.sources), 2)
def test_df_as_input(self):
algo = TestRegisterTransformAlgorithm(sids=[0, 1])
algo.run(self.df)
assert isinstance(algo.sources[0], DataFrameSource)
def test_transform_registered(self):
algo = TestRegisterTransformAlgorithm(sids=[133])
algo.run(self.source)
assert algo.get_sid_filter() == algo.sids == [133]
assert 'mavg' in algo.registered_transforms
assert algo.registered_transforms['mavg']['args'] == (['price'],)
assert algo.registered_transforms['mavg']['kwargs'] == {'days': 2, 'market_aware': True}
assert algo.registered_transforms['mavg']['class'] is MovingAverage