DOC/TEST: Add example algo using Pipeline.

This commit is contained in:
Scott Sanderson
2016-05-24 22:34:05 -04:00
committed by Joe Jevnik
parent 244664b6a3
commit 392ac2f9d6
12 changed files with 284 additions and 99 deletions
+74 -25
View File
@@ -8,10 +8,33 @@ import click
import numpy as np
import pandas as pd
from zipline import examples, run_algorithm
from zipline import examples
from zipline.data.bundles import clean, ingest, register, yahoo_equities
from zipline.testing import test_resource_path, tmp_dir
from zipline.utils.cache import dataframe_cache
from zipline.data.bundles import register
INPUT_DATA_START_DATE = pd.Timestamp('2004-01-02')
INPUT_DATA_END_DATE = pd.Timestamp('2014-12-31')
INPUT_DATA_SYMBOLS = (
'AMD',
'CERN',
'COST',
'DELL',
'GPS',
'INTC',
'MMM',
'AAPL',
'MSFT',
)
TEST_BUNDLE_NAME = 'test'
input_bundle = yahoo_equities(
INPUT_DATA_SYMBOLS,
INPUT_DATA_START_DATE,
INPUT_DATA_END_DATE,
)
register(TEST_BUNDLE_NAME, input_bundle)
banner = """
Please verify that the new performance is more correct than the old
@@ -20,6 +43,13 @@ performance.
To do this, please inspect `new` and `old` which are mappings from the name of
the example to the results.
The name `cols_to_check` has been bound to a list of perf columns that we
expect to be reliably deterministic (excluding, e.g. `orders`, which contains
UUIDs).
Calling `changed_results(new, old)` will compute a list of names of results
that produced a different value in one of the `cols_to_check` fields.
If you are sure that the new results are more correct, or that the difference
is acceptable, please call `correct()`. Otherwise, call `incorrect()`.
@@ -29,28 +59,58 @@ Remember to run this with the other supported versions of pandas!
"""
def changed_results(new, old):
"""
Get the names of results that changed since the last invocation.
Useful for verifying that only expected results changed.
"""
changed = []
for col in new:
if col not in old:
changed.append(col)
continue
try:
pd.util.testing.assert_frame_equal(
new[col][examples._cols_to_check],
old[col][examples._cols_to_check],
)
except AssertionError:
changed.append(col)
return changed
def eof(*args, **kwargs):
raise EOFError()
def rebuild_input_data(environ):
ingest(TEST_BUNDLE_NAME, environ=environ, show_progress=True)
clean(TEST_BUNDLE_NAME, keep_last=1, environ=environ)
@click.command()
@click.option(
'--rebuild-input',
is_flag=True,
default=False,
help="Should we rebuild the input data from Yahoo?",
)
@click.pass_context
def main(ctx):
def main(ctx, rebuild_input):
"""Rebuild the perf data for test_examples
"""
example_path = test_resource_path('example_data.tar.gz')
register('test', lambda *args: None)
with tmp_dir() as d:
with tarfile.open(example_path) as tar:
tar.extractall(d.path)
mods = (
(e, getattr(examples, e))
for e in dir(examples)
if not e.startswith('_')
)
# The environ here should be the same (modulo the tempdir location)
# as we use in test_examples.py.
environ = {'ZIPLINE_ROOT': d.getpath('example_data/root')}
if rebuild_input:
rebuild_input_data(environ)
new_perf_path = d.getpath(
'example_data/new_perf/%s' % pd.__version__.replace('.', '-'),
@@ -60,21 +120,8 @@ def main(ctx):
serialization='pickle:2',
)
with c:
for name, mod in mods:
c[name] = run_algorithm(
handle_data=mod.handle_data,
initialize=mod.initialize,
before_trading_start=getattr(
mod, 'before_trading_start', None,
),
analyze=getattr(mod, 'analyze', None),
bundle='test',
environ={
'ZIPLINE_ROOT': d.getpath('example_data/root'),
},
capital_base=1e7,
**mod._test_args()
)
for name in examples.EXAMPLE_MODULES:
c[name] = examples.run_example(name, environ=environ)
correct_called = [False]
@@ -105,6 +152,8 @@ def main(ctx):
serialization='pickle',
),
'pd': pd,
'cols_to_check': examples._cols_to_check,
'changed_results': changed_results,
})
console.interact(banner)