Files
catalyst/tests/data/bundles/test_core.py
T
Scott Sanderson a8a2cc1582 PERF: Remove module-scope calendar creations.
Remove module scope invocations of `get_calendar('NYSE')`, which cuts
zipline import time in half on my machine. This make the zipline CLI
noticeably more responsive, and it reduces memory consumed at import
time from 130MB to 90MB.

Before:

$ time python -c 'import zipline'

real    0m1.262s
user    0m1.128s
sys     0m0.120s

After:

$ time python -c 'import zipline'

real    0m0.676s
user    0m0.536s
sys     0m0.132s
2016-09-06 09:57:23 -04:00

558 lines
17 KiB
Python

import os
from nose_parameterized import parameterized
import pandas as pd
import sqlalchemy as sa
from toolz import valmap
import toolz.curried.operator as op
from zipline.assets import ASSET_DB_VERSION
from zipline.assets.asset_writer import check_version_info
from zipline.assets.synthetic import make_simple_equity_info
from zipline.data.bundles import UnknownBundle, from_bundle_ingest_dirname, \
ingestions_for_bundle
from zipline.data.bundles.core import _make_bundle_core, BadClean, \
to_bundle_ingest_dirname, asset_db_path
from zipline.lib.adjustment import Float64Multiply
from zipline.pipeline.loaders.synthetic import (
make_bar_data,
expected_bar_values_2d,
)
from zipline.testing import (
subtest,
str_to_seconds,
)
from zipline.testing.fixtures import WithInstanceTmpDir, ZiplineTestCase, \
WithDefaultDateBounds
from zipline.testing.predicates import (
assert_equal,
assert_false,
assert_in,
assert_is,
assert_is_instance,
assert_is_none,
assert_raises,
assert_true,
)
from zipline.utils.cache import dataframe_cache
from zipline.utils.functional import apply
from zipline.utils.calendars import TradingCalendar, get_calendar
import zipline.utils.paths as pth
_1_ns = pd.Timedelta(1, unit='ns')
class BundleCoreTestCase(WithInstanceTmpDir,
WithDefaultDateBounds,
ZiplineTestCase):
START_DATE = pd.Timestamp('2014-01-06', tz='utc')
END_DATE = pd.Timestamp('2014-01-10', tz='utc')
def init_instance_fixtures(self):
super(BundleCoreTestCase, self).init_instance_fixtures()
(self.bundles,
self.register,
self.unregister,
self.ingest,
self.load,
self.clean) = _make_bundle_core()
self.environ = {'ZIPLINE_ROOT': self.instance_tmpdir.path}
def test_register_decorator(self):
@apply
@subtest(((c,) for c in 'abcde'), 'name')
def _(name):
@self.register(name)
def ingest(*args):
pass
assert_in(name, self.bundles)
assert_is(self.bundles[name].ingest, ingest)
self._check_bundles(set('abcde'))
def test_register_call(self):
def ingest(*args):
pass
@apply
@subtest(((c,) for c in 'abcde'), 'name')
def _(name):
self.register(name, ingest)
assert_in(name, self.bundles)
assert_is(self.bundles[name].ingest, ingest)
assert_equal(
valmap(op.attrgetter('ingest'), self.bundles),
{k: ingest for k in 'abcde'},
)
self._check_bundles(set('abcde'))
def _check_bundles(self, names):
assert_equal(set(self.bundles.keys()), names)
for name in names:
self.unregister(name)
assert_false(self.bundles)
def test_register_no_create(self):
called = [False]
@self.register('bundle', create_writers=False)
def bundle_ingest(environ,
asset_db_writer,
minute_bar_writer,
daily_bar_writer,
adjustment_writer,
calendar,
start_session,
end_session,
cache,
show_progress,
output_dir):
assert_is_none(asset_db_writer)
assert_is_none(minute_bar_writer)
assert_is_none(daily_bar_writer)
assert_is_none(adjustment_writer)
called[0] = True
self.ingest('bundle', self.environ)
assert_true(called[0])
def test_ingest(self):
calendar = get_calendar('NYSE')
sessions = calendar.sessions_in_range(self.START_DATE, self.END_DATE)
minutes = calendar.minutes_for_sessions_in_range(
self.START_DATE, self.END_DATE,
)
sids = tuple(range(3))
equities = make_simple_equity_info(
sids,
self.START_DATE,
self.END_DATE,
)
daily_bar_data = make_bar_data(equities, sessions)
minute_bar_data = make_bar_data(equities, minutes)
first_split_ratio = 0.5
second_split_ratio = 0.1
splits = pd.DataFrame.from_records([
{
'effective_date': str_to_seconds('2014-01-08'),
'ratio': first_split_ratio,
'sid': 0,
},
{
'effective_date': str_to_seconds('2014-01-09'),
'ratio': second_split_ratio,
'sid': 1,
},
])
@self.register(
'bundle',
calendar_name='NYSE',
start_session=self.START_DATE,
end_session=self.END_DATE,
)
def bundle_ingest(environ,
asset_db_writer,
minute_bar_writer,
daily_bar_writer,
adjustment_writer,
calendar,
start_session,
end_session,
cache,
show_progress,
output_dir):
assert_is(environ, self.environ)
asset_db_writer.write(equities=equities)
minute_bar_writer.write(minute_bar_data)
daily_bar_writer.write(daily_bar_data)
adjustment_writer.write(splits=splits)
assert_is_instance(calendar, TradingCalendar)
assert_is_instance(cache, dataframe_cache)
assert_is_instance(show_progress, bool)
self.ingest('bundle', environ=self.environ)
bundle = self.load('bundle', environ=self.environ)
assert_equal(set(bundle.asset_finder.sids), set(sids))
columns = 'open', 'high', 'low', 'close', 'volume'
actual = bundle.equity_minute_bar_reader.load_raw_arrays(
columns,
minutes[0],
minutes[-1],
sids,
)
for actual_column, colname in zip(actual, columns):
assert_equal(
actual_column,
expected_bar_values_2d(minutes, equities, colname),
msg=colname,
)
actual = bundle.equity_daily_bar_reader.load_raw_arrays(
columns,
self.START_DATE,
self.END_DATE,
sids,
)
for actual_column, colname in zip(actual, columns):
assert_equal(
actual_column,
expected_bar_values_2d(sessions, equities, colname),
msg=colname,
)
adjustments_for_cols = bundle.adjustment_reader.load_adjustments(
columns,
sessions,
pd.Index(sids),
)
for column, adjustments in zip(columns, adjustments_for_cols[:-1]):
# iterate over all the adjustments but `volume`
assert_equal(
adjustments,
{
2: [Float64Multiply(
first_row=0,
last_row=2,
first_col=0,
last_col=0,
value=first_split_ratio,
)],
3: [Float64Multiply(
first_row=0,
last_row=3,
first_col=1,
last_col=1,
value=second_split_ratio,
)],
},
msg=column,
)
# check the volume, the value should be 1/ratio
assert_equal(
adjustments_for_cols[-1],
{
2: [Float64Multiply(
first_row=0,
last_row=2,
first_col=0,
last_col=0,
value=1 / first_split_ratio,
)],
3: [Float64Multiply(
first_row=0,
last_row=3,
first_col=1,
last_col=1,
value=1 / second_split_ratio,
)],
},
msg='volume',
)
def test_ingest_assets_versions(self):
versions = (1, 2)
called = [False]
@self.register('bundle', create_writers=False)
def bundle_ingest_no_create_writers(*args, **kwargs):
called[0] = True
now = pd.Timestamp.utcnow()
with self.assertRaisesRegexp(ValueError,
"ingest .* creates writers .* downgrade"):
self.ingest('bundle', self.environ, assets_versions=versions,
timestamp=now - pd.Timedelta(seconds=1))
assert_false(called[0])
assert_equal(len(ingestions_for_bundle('bundle', self.environ)), 1)
@self.register('bundle', create_writers=True)
def bundle_ingest_create_writers(
environ,
asset_db_writer,
minute_bar_writer,
daily_bar_writer,
adjustment_writer,
calendar,
start_session,
end_session,
cache,
show_progress,
output_dir):
self.assertIsNotNone(asset_db_writer)
self.assertIsNotNone(minute_bar_writer)
self.assertIsNotNone(daily_bar_writer)
self.assertIsNotNone(adjustment_writer)
equities = make_simple_equity_info(
tuple(range(3)),
self.START_DATE,
self.END_DATE,
)
asset_db_writer.write(equities=equities)
called[0] = True
# Explicitly use different timestamp; otherwise, test could run so fast
# that first ingestion is re-used.
self.ingest('bundle', self.environ, assets_versions=versions,
timestamp=now)
assert_true(called[0])
ingestions = ingestions_for_bundle('bundle', self.environ)
assert_equal(len(ingestions), 2)
for version in sorted(set(versions) | {ASSET_DB_VERSION}):
eng = sa.create_engine(
'sqlite:///' +
asset_db_path(
'bundle',
to_bundle_ingest_dirname(ingestions[0]), # most recent
self.environ,
version,
)
)
metadata = sa.MetaData()
metadata.reflect(eng)
version_table = metadata.tables['version_info']
check_version_info(eng, version_table, version)
@parameterized.expand([('clean',), ('load',)])
def test_bundle_doesnt_exist(self, fnname):
with assert_raises(UnknownBundle) as e:
getattr(self, fnname)('ayy', environ=self.environ)
assert_equal(e.exception.name, 'ayy')
def test_load_no_data(self):
# register but do not ingest data
self.register('bundle', lambda *args: None)
ts = pd.Timestamp('2014', tz='UTC')
with assert_raises(ValueError) as e:
self.load('bundle', timestamp=ts, environ=self.environ)
assert_in(
"no data for bundle 'bundle' on or before %s" % ts,
str(e.exception),
)
def _list_bundle(self):
return {
os.path.join(pth.data_path(['bundle', d], environ=self.environ))
for d in os.listdir(
pth.data_path(['bundle'], environ=self.environ),
)
}
def _empty_ingest(self, _wrote_to=[]):
"""Run the nth empty ingest.
Returns
-------
wrote_to : str
The timestr of the bundle written.
"""
if not self.bundles:
@self.register('bundle',
calendar_name=('NYSE'),
start_session=pd.Timestamp('2014', tz='UTC'),
end_session=pd.Timestamp('2014', tz='UTC'))
def _(environ,
asset_db_writer,
minute_bar_writer,
daily_bar_writer,
adjustment_writer,
calendar,
start_session,
end_session,
cache,
show_progress,
output_dir):
_wrote_to.append(output_dir)
_wrote_to[:] = []
self.ingest('bundle', environ=self.environ)
assert_equal(len(_wrote_to), 1, msg='ingest was called more than once')
ingestions = self._list_bundle()
assert_in(
_wrote_to[0],
ingestions,
msg='output_dir was not in the bundle directory',
)
return _wrote_to[0]
def test_clean_keep_last(self):
first = self._empty_ingest()
assert_equal(
self.clean('bundle', keep_last=1, environ=self.environ),
set(),
)
assert_equal(
self._list_bundle(),
{first},
msg='directory should not have changed',
)
second = self._empty_ingest()
assert_equal(
self._list_bundle(),
{first, second},
msg='two ingestions are not present',
)
assert_equal(
self.clean('bundle', keep_last=1, environ=self.environ),
{first},
)
assert_equal(
self._list_bundle(),
{second},
msg='first ingestion was not removed with keep_last=2',
)
third = self._empty_ingest()
fourth = self._empty_ingest()
fifth = self._empty_ingest()
assert_equal(
self._list_bundle(),
{second, third, fourth, fifth},
msg='larger set of ingestions did not happen correctly',
)
assert_equal(
self.clean('bundle', keep_last=2, environ=self.environ),
{second, third},
)
assert_equal(
self._list_bundle(),
{fourth, fifth},
msg='keep_last=2 did not remove the correct number of ingestions',
)
with assert_raises(BadClean):
self.clean('bundle', keep_last=-1, environ=self.environ)
assert_equal(
self._list_bundle(),
{fourth, fifth},
msg='keep_last=-1 removed some ingestions',
)
assert_equal(
self.clean('bundle', keep_last=0, environ=self.environ),
{fourth, fifth},
)
assert_equal(
self._list_bundle(),
set(),
msg='keep_last=0 did not remove the correct number of ingestions',
)
@staticmethod
def _ts_of_run(run):
return from_bundle_ingest_dirname(run.rsplit(os.path.sep, 1)[-1])
def test_clean_before_after(self):
first = self._empty_ingest()
assert_equal(
self.clean(
'bundle',
before=self._ts_of_run(first),
environ=self.environ,
),
set(),
)
assert_equal(
self._list_bundle(),
{first},
msg='directory should not have changed (before)',
)
assert_equal(
self.clean(
'bundle',
after=self._ts_of_run(first),
environ=self.environ,
),
set(),
)
assert_equal(
self._list_bundle(),
{first},
msg='directory should not have changed (after)',
)
assert_equal(
self.clean(
'bundle',
before=self._ts_of_run(first) + _1_ns,
environ=self.environ,
),
{first},
)
assert_equal(
self._list_bundle(),
set(),
msg='directory now be empty (before)',
)
second = self._empty_ingest()
assert_equal(
self.clean(
'bundle',
after=self._ts_of_run(second) - _1_ns,
environ=self.environ,
),
{second},
)
assert_equal(
self._list_bundle(),
set(),
msg='directory now be empty (after)',
)
third = self._empty_ingest()
fourth = self._empty_ingest()
fifth = self._empty_ingest()
sixth = self._empty_ingest()
assert_equal(
self._list_bundle(),
{third, fourth, fifth, sixth},
msg='larger set of ingestions did no happen correctly',
)
assert_equal(
self.clean(
'bundle',
before=self._ts_of_run(fourth),
after=self._ts_of_run(fifth),
environ=self.environ,
),
{third, sixth},
)
assert_equal(
self._list_bundle(),
{fourth, fifth},
msg='did not strip first and last directories',
)