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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.
159 lines
5.4 KiB
Python
159 lines
5.4 KiB
Python
#
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# Copyright 2014 Quantopian, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from nose_parameterized import parameterized
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from six.moves import range
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from zipline.errors import(
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BadOrderParameters
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)
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from zipline.finance.execution import (
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LimitOrder,
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MarketOrder,
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StopLimitOrder,
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StopOrder,
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)
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from zipline.testing.fixtures import (
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WithLogger,
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ZiplineTestCase,
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)
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class ExecutionStyleTestCase(WithLogger, ZiplineTestCase):
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"""
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Tests for zipline ExecutionStyle classes.
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"""
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epsilon = .000001
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# Input, expected on limit buy/stop sell, expected on limit sell/stop buy.
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EXPECTED_PRICE_ROUNDING = [
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(0.00, 0.00, 0.00),
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(0.0005, 0.00, 0.00),
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(1.0005, 1.00, 1.00), # Lowest value to round down on sell.
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(1.0005 + epsilon, 1.00, 1.01),
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(1.0095 - epsilon, 1.0, 1.01),
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(1.0095, 1.01, 1.01), # Highest value to round up on buy.
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(0.01, 0.01, 0.01)
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]
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# Test that the same rounding behavior is maintained if we add between 1
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# and 10 to all values, because floating point math is made of lies.
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EXPECTED_PRICE_ROUNDING += [
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(x + delta, y + delta, z + delta)
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for (x, y, z) in EXPECTED_PRICE_ROUNDING
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for delta in range(1, 10)
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]
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class ArbitraryObject():
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def __str__(self):
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return """This should yield a bad order error when
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passed as a stop or limit price."""
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INVALID_PRICES = [
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(-1,),
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(-1.0,),
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(0 - epsilon,),
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(float('nan'),),
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(float('inf'),),
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(ArbitraryObject(),),
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]
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@parameterized.expand(INVALID_PRICES)
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def test_invalid_prices(self, price):
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"""
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Test that execution styles throw appropriate exceptions upon receipt
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of an invalid price field.
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"""
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with self.assertRaises(BadOrderParameters):
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LimitOrder(price)
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with self.assertRaises(BadOrderParameters):
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StopOrder(price)
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for lmt, stp in [(price, 1), (1, price), (price, price)]:
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with self.assertRaises(BadOrderParameters):
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StopLimitOrder(lmt, stp)
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def test_market_order_prices(self):
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"""
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Basic unit tests for the MarketOrder class.
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"""
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style = MarketOrder()
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self.assertEqual(style.get_limit_price(True), None)
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self.assertEqual(style.get_limit_price(False), None)
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self.assertEqual(style.get_stop_price(True), None)
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self.assertEqual(style.get_stop_price(False), None)
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@parameterized.expand(EXPECTED_PRICE_ROUNDING)
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def test_limit_order_prices(self,
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price,
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expected_limit_buy_or_stop_sell,
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expected_limit_sell_or_stop_buy):
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"""
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Test price getters for the LimitOrder class.
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"""
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style = LimitOrder(price)
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self.assertEqual(expected_limit_buy_or_stop_sell,
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style.get_limit_price(True))
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self.assertEqual(expected_limit_sell_or_stop_buy,
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style.get_limit_price(False))
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self.assertEqual(None, style.get_stop_price(True))
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self.assertEqual(None, style.get_stop_price(False))
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@parameterized.expand(EXPECTED_PRICE_ROUNDING)
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def test_stop_order_prices(self,
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price,
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expected_limit_buy_or_stop_sell,
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expected_limit_sell_or_stop_buy):
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"""
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Test price getters for StopOrder class. Note that the expected rounding
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direction for stop prices is the reverse of that for limit prices.
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"""
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style = StopOrder(price)
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self.assertEqual(None, style.get_limit_price(False))
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self.assertEqual(None, style.get_limit_price(True))
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self.assertEqual(expected_limit_buy_or_stop_sell,
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style.get_stop_price(False))
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self.assertEqual(expected_limit_sell_or_stop_buy,
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style.get_stop_price(True))
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@parameterized.expand(EXPECTED_PRICE_ROUNDING)
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def test_stop_limit_order_prices(self,
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price,
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expected_limit_buy_or_stop_sell,
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expected_limit_sell_or_stop_buy):
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"""
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Test price getters for StopLimitOrder class. Note that the expected
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rounding direction for stop prices is the reverse of that for limit
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prices.
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"""
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style = StopLimitOrder(price, price + 1)
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self.assertEqual(expected_limit_buy_or_stop_sell,
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style.get_limit_price(True))
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self.assertEqual(expected_limit_sell_or_stop_buy,
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style.get_limit_price(False))
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self.assertEqual(expected_limit_buy_or_stop_sell + 1,
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style.get_stop_price(False))
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self.assertEqual(expected_limit_sell_or_stop_buy + 1,
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style.get_stop_price(True))
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