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Merge pull request #846 from grundgruen/data_test
TST: tests removing of expired data and removes ffill in DataPanelSource
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@@ -60,6 +60,7 @@ from zipline.test_algorithms import (
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TestTargetAlgorithm,
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TestTargetPercentAlgorithm,
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TestTargetValueAlgorithm,
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TestRemoveDataAlgo,
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SetLongOnlyAlgorithm,
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SetAssetDateBoundsAlgorithm,
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SetMaxPositionSizeAlgorithm,
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@@ -1977,3 +1978,43 @@ class TestTradingAlgorithm(TestCase):
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analyze=analyze)
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results = algo.run(self.panel)
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self.assertIs(results, self.perf_ref)
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class TestRemoveData(TestCase):
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"""
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tests if futures data is removed after expiry
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"""
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def setUp(self):
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dt = pd.Timestamp('2015-01-02', tz='UTC')
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env = TradingEnvironment()
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ix = env.trading_days.get_loc(dt)
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metadata = {0: {'symbol': 'X',
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'expiration_date': env.trading_days[ix + 5],
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'end_date': env.trading_days[ix + 6]},
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1: {'symbol': 'Y',
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'expiration_date': env.trading_days[ix + 7],
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'end_date': env.trading_days[ix + 8]}}
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env.write_data(futures_data=metadata)
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index_x = env.trading_days[ix:ix + 5]
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data_x = pd.DataFrame([[1, 100], [2, 100], [3, 100], [4, 100],
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[5, 100]],
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index=index_x, columns=['price', 'volume'])
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index_y = env.trading_days[ix:ix + 5].shift(2)
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data_y = pd.DataFrame([[6, 100], [7, 100], [8, 100], [9, 100],
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[10, 100]],
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index=index_y, columns=['price', 'volume'])
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pan = pd.Panel({0: data_x, 1: data_y})
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self.source = DataPanelSource(pan)
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self.algo = TestRemoveDataAlgo(env=env)
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def test_remove_data(self):
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self.algo.run(self.source)
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expected_lengths = [1, 1, 2, 2, 2, 2, 1]
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# initially only data for X should be sent and on the last day only
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# data for Y should be sent since X is expired
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np.testing.assert_array_equal(self.algo.data, expected_lengths)
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