def test_group_by_type(self):
equities = make_simple_equity_info(
range(5),
start_date=pd.Timestamp('2014-01-01'),
end_date=pd.Timestamp('2015-01-01'),
)
futures = make_commodity_future_info(
first_sid=6,
root_symbols=['CL'],
years=[2014],
)
# Intersecting sid queries, to exercise loading of partially-cached
# results.
queries = [
([0, 1, 3], [6, 7]),
([0, 2, 3], [7, 10]),
(list(equities.index), list(futures.index)),
]
with tmp_asset_finder(equities=equities, futures=futures) as finder:
for equity_sids, future_sids in queries:
results = finder.group_by_type(equity_sids + future_sids)
self.assertEqual(
results,
{
'equity': set(equity_sids),
'future': set(future_sids)
},
)
def test_retrieve_specific_type(self, type_, lookup_name, failure_type):
equities = make_simple_equity_info(
range(5), start_date=pd.Timestamp("2014-01-01"), end_date=pd.Timestamp("2015-01-01")
)
max_equity = equities.index.max()
futures = make_commodity_future_info(first_sid=max_equity + 1, root_symbols=["CL"], years=[2014])
equity_sids = [0, 1]
future_sids = [max_equity + 1, max_equity + 2, max_equity + 3]
if type_ == Equity:
success_sids = equity_sids
fail_sids = future_sids
else:
fail_sids = equity_sids
success_sids = future_sids
with tmp_asset_finder(equities=equities, futures=futures) as finder:
# Run twice to exercise caching.
lookup = getattr(finder, lookup_name)
for _ in range(2):
results = lookup(success_sids)
self.assertIsInstance(results, dict)
self.assertEqual(set(results.keys()), set(success_sids))
self.assertEqual(valmap(int, results), dict(zip(success_sids, success_sids)))
self.assertEqual({type_}, {type(asset) for asset in itervalues(results)})
with self.assertRaises(failure_type):
lookup(fail_sids)
with self.assertRaises(failure_type):
# Should fail if **any** of the assets are bad.
lookup([success_sids[0], fail_sids[0]])
def test_group_by_type(self):
equities = make_simple_equity_info(
range(5),
start_date=pd.Timestamp('2014-01-01'),
end_date=pd.Timestamp('2015-01-01'),
)
futures = make_commodity_future_info(
first_sid=6,
root_symbols=['CL'],
years=[2014],
)
# Intersecting sid queries, to exercise loading of partially-cached
# results.
queries = [
([0, 1, 3], [6, 7]),
([0, 2, 3], [7, 10]),
(list(equities.index), list(futures.index)),
]
with tmp_asset_finder(equities=equities, futures=futures) as finder:
for equity_sids, future_sids in queries:
results = finder.group_by_type(equity_sids + future_sids)
self.assertEqual(
results,
{'equity': set(equity_sids), 'future': set(future_sids)},
)
def test_retrieve_all(self):
equities = make_simple_equity_info(
range(5),
start_date=pd.Timestamp('2014-01-01'),
end_date=pd.Timestamp('2015-01-01'),
)
max_equity = equities.index.max()
futures = make_commodity_future_info(
first_sid=max_equity + 1,
root_symbols=['CL'],
years=[2014],
)
with tmp_asset_finder(equities=equities, futures=futures) as finder:
all_sids = finder.sids
self.assertEqual(len(all_sids), len(equities) + len(futures))
queries = [
# Empty Query.
(),
# Only Equities.
tuple(equities.index[:2]),
# Only Futures.
tuple(futures.index[:3]),
# Mixed, all cache misses.
tuple(equities.index[2:]) + tuple(futures.index[3:]),
# Mixed, all cache hits.
tuple(equities.index[2:]) + tuple(futures.index[3:]),
# Everything.
all_sids,
all_sids,
]
for sids in queries:
equity_sids = [i for i in sids if i <= max_equity]
future_sids = [i for i in sids if i > max_equity]
results = finder.retrieve_all(sids)
self.assertEqual(sids, tuple(map(int, results)))
self.assertEqual(
[Equity for _ in equity_sids] +
[Future for _ in future_sids],
list(map(type, results)),
)
self.assertEqual(
(
list(equities.symbol.loc[equity_sids]) +
list(futures.symbol.loc[future_sids])
),
list(asset.symbol for asset in results),
)
def test_retrieve_all(self):
equities = make_simple_equity_info(
range(5),
start_date=pd.Timestamp('2014-01-01'),
end_date=pd.Timestamp('2015-01-01'),
)
max_equity = equities.index.max()
futures = make_commodity_future_info(
first_sid=max_equity + 1,
root_symbols=['CL'],
years=[2014],
)
with tmp_asset_finder(equities=equities, futures=futures) as finder:
all_sids = finder.sids
self.assertEqual(len(all_sids), len(equities) + len(futures))
queries = [
# Empty Query.
(),
# Only Equities.
tuple(equities.index[:2]),
# Only Futures.
tuple(futures.index[:3]),
# Mixed, all cache misses.
tuple(equities.index[2:]) + tuple(futures.index[3:]),
# Mixed, all cache hits.
tuple(equities.index[2:]) + tuple(futures.index[3:]),
# Everything.
all_sids,
all_sids,
]
for sids in queries:
equity_sids = [i for i in sids if i <= max_equity]
future_sids = [i for i in sids if i > max_equity]
results = finder.retrieve_all(sids)
self.assertEqual(sids, tuple(map(int, results)))
self.assertEqual(
[Equity for _ in equity_sids] +
[Future for _ in future_sids],
list(map(type, results)),
)
self.assertEqual(
(
list(equities.symbol.loc[equity_sids]) +
list(futures.symbol.loc[future_sids])
),
list(asset.symbol for asset in results),
)
def test_retrieve_specific_type(self, type_, lookup_name, failure_type):
equities = make_simple_equity_info(
range(5),
start_date=pd.Timestamp('2014-01-01'),
end_date=pd.Timestamp('2015-01-01'),
)
max_equity = equities.index.max()
futures = make_commodity_future_info(
first_sid=max_equity + 1,
root_symbols=['CL'],
years=[2014],
)
equity_sids = [0, 1]
future_sids = [max_equity + 1, max_equity + 2, max_equity + 3]
if type_ == Equity:
success_sids = equity_sids
fail_sids = future_sids
else:
fail_sids = equity_sids
success_sids = future_sids
with tmp_asset_finder(equities=equities, futures=futures) as finder:
# Run twice to exercise caching.
lookup = getattr(finder, lookup_name)
for _ in range(2):
results = lookup(success_sids)
self.assertIsInstance(results, dict)
self.assertEqual(set(results.keys()), set(success_sids))
self.assertEqual(
valmap(int, results),
dict(zip(success_sids, success_sids)),
)
self.assertEqual(
{type_},
{type(asset)
for asset in itervalues(results)},
)
with self.assertRaises(failure_type):
lookup(fail_sids)
with self.assertRaises(failure_type):
# Should fail if **any** of the assets are bad.
lookup([success_sids[0], fail_sids[0]])
