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catalyst/tests/test_sources.py
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Python

#
# Copyright 2012 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.
import pandas as pd
from unittest import TestCase
import zipline.utils.factory as factory
from zipline.sources import DataFrameSource
class TestDataFrameSource(TestCase):
def test_df_source(self):
source, df = factory.create_test_df_source()
assert isinstance(source.start, pd.lib.Timestamp)
assert isinstance(source.end, pd.lib.Timestamp)
for expected_dt, expected_price in df.iterrows():
sid0 = source.next()
assert expected_dt == sid0.dt
assert expected_price[0] == sid0.price
def test_df_sid_filtering(self):
_, df = factory.create_test_df_source()
source = DataFrameSource(df, sids=[0])
assert 1 not in [event.sid for event in source], \
"DataFrameSource should only stream selected sid 0, not sid 1."
def test_panel_source(self):
source, panel = factory.create_test_panel_source()
assert isinstance(source.start, pd.lib.Timestamp)
assert isinstance(source.end, pd.lib.Timestamp)
for event in source:
self.assertTrue('sid' in event)
self.assertTrue('arbitrary' in event)
self.assertTrue('volume' in event)
self.assertTrue('price' in event)
self.assertEquals(event['arbitrary'], 1.)
self.assertEquals(event['volume'], 1000)
self.assertEquals(event['sid'], 0)
self.assertTrue(isinstance(event['volume'], int))
self.assertTrue(isinstance(event['arbitrary'], float))