def test_tickstore_to_bucket_always_forwards_image():
symbol = 'SYM'
tz = 'UTC'
initial_image = {'index': dt(2014, 2, 1, 0, 0, tzinfo=mktz(tz)), 'A': 123, 'B': 54.4, 'C': 'DESC'}
data = [{'index': dt(2014, 1, 1, 0, 1, tzinfo=mktz(tz)), 'A': 124, 'D': 0}]
with pytest.raises(UnorderedDataException) as e:
TickStore._to_bucket(data, symbol, initial_image)
def test_tickstore_to_bucket_always_forwards_image():
symbol = 'SYM'
tz = 'UTC'
initial_image = {'index': dt(2014, 2, 1, 0, 0, tzinfo=mktz(tz)), 'A': 123, 'B': 54.4, 'C': 'DESC'}
data = [{'index': dt(2014, 1, 1, 0, 1, tzinfo=mktz(tz)), 'A': 124, 'D': 0}]
with pytest.raises(UnorderedDataException) as e:
TickStore._to_bucket(data, symbol, initial_image)
def test_tickstore_pandas_to_bucket_image():
symbol = 'SYM'
tz = 'UTC'
initial_image = {'index': dt(2014, 1, 1, 0, 0, tzinfo=mktz(tz)), 'A': 123, 'B': 54.4, 'C': 'DESC'}
data = [{'A': 120, 'D': 1}, {'A': 122, 'B': 2.0}, {'A': 3, 'B': 3.0, 'D': 1}]
tick_index = [dt(2014, 1, 2, 0, 0, tzinfo=mktz(tz)),
dt(2014, 1, 3, 0, 0, tzinfo=mktz(tz)),
dt(2014, 1, 4, 0, 0, tzinfo=mktz(tz))]
data = pd.DataFrame(data, index=tick_index)
bucket, final_image = TickStore._pandas_to_bucket(data, symbol, initial_image)
assert final_image == {'index': dt(2014, 1, 4, 0, 0, tzinfo=mktz(tz)), 'A': 3, 'B': 3.0, 'C': 'DESC', 'D': 1}
assert IMAGE_DOC in bucket
assert bucket[COUNT] == 3
assert bucket[START] == dt(2014, 1, 1, 0, 0, tzinfo=mktz(tz))
assert bucket[END] == dt(2014, 1, 4, 0, 0, tzinfo=mktz(tz))
assert set(bucket[COLUMNS]) == set(('A', 'B', 'D'))
assert set(bucket[COLUMNS]['A']) == set((ROWMASK, DTYPE, DATA))
assert get_coldata(bucket[COLUMNS]['A']) == ([120, 122, 3], [1, 1, 1, 0, 0, 0, 0, 0])
values, rowmask = get_coldata(bucket[COLUMNS]['B'])
assert np.isnan(values[0]) and values[1:] == [2.0, 3.0]
assert rowmask == [1, 1, 1, 0, 0, 0, 0, 0]
values, rowmask = get_coldata(bucket[COLUMNS]['D'])
assert np.isnan(values[1])
assert values[0] == 1 and values[2] == 1
assert rowmask == [1, 1, 1, 0, 0, 0, 0, 0]
index = [dt.fromtimestamp(int(i/1000)).replace(tzinfo=mktz(tz)) for i in
list(np.cumsum(np.frombuffer(decompress(bucket[INDEX]), dtype='uint64')))]
assert index == tick_index
assert bucket[COLUMNS]['A'][DTYPE] == 'int64'
assert bucket[COLUMNS]['B'][DTYPE] == 'float64'
assert bucket[SYMBOL] == symbol
assert bucket[IMAGE_DOC] == {IMAGE: initial_image,
IMAGE_TIME: initial_image['index']}
def test_mongo_date_range_query():
self = create_autospec(TickStore)
self._collection = create_autospec(Collection)
self._collection.find_one.return_value = {'s': sentinel.start}
self._symbol_query = partial(TickStore._symbol_query, self)
query = TickStore._mongo_date_range_query(
self, 'sym',
DateRange(dt(2014, 1, 1, 0, 0, tzinfo=mktz()),
dt(2014, 1, 2, 0, 0, tzinfo=mktz())))
assert self._collection.find_one.call_args_list == [
call({
'sy': 'sym',
's': {
'$lte': dt(2014, 1, 1, 0, 0, tzinfo=mktz())
}
},
sort=[('s', -1)],
projection={
's': 1,
'_id': 0
}),
call({
'sy': 'sym',
's': {
'$gt': dt(2014, 1, 2, 0, 0, tzinfo=mktz())
}
},
sort=[('s', 1)],
projection={
's': 1,
'_id': 0
})
]
assert query == {'s': {'$gte': sentinel.start, '$lt': sentinel.start}}
def test_mongo_date_range_query():
self = create_autospec(TickStore)
self._collection = create_autospec(Collection)
self._symbol_query.return_value = {"sy": {"$in" : ["s1" , "s2"]}}
self._collection.aggregate.return_value = iter([{"_id": "s1", "start": dt(2014, 1, 1, 0, 0, tzinfo=mktz())},
{"_id": "s2", "start": dt(2014, 1, 1, 12, 0, tzinfo=mktz())}])
self._collection.find_one.side_effect = [
{'e': dt(2014, 1, 1, 15, 0, tzinfo=mktz())},
{'e': dt(2014, 1, 2, 12, 0, tzinfo=mktz())}]
query = TickStore._mongo_date_range_query(self, 'sym', DateRange(dt(2014, 1, 2, 0, 0, tzinfo=mktz()),
dt(2014, 1, 3, 0, 0, tzinfo=mktz())))
assert self._collection.aggregate.call_args_list == [call([
{"$match": {"s": {"$lte": dt(2014, 1, 2, 0, 0, tzinfo=mktz())}, "sy": {"$in" : ["s1" , "s2"]}}},
{"$project": {"_id": 0, "s": 1, "sy": 1}},
{"$group": {"_id": "$sy", "start": {"$max": "$s"}}},
{"$sort": {"start": 1}}])]
assert self._collection.find_one.call_args_list == [
call({'sy': 's1', 's': dt(2014, 1, 1, 0, 0, tzinfo=mktz())}, {'e': 1}),
call({'sy': 's2', 's': dt(2014, 1, 1, 12, 0, tzinfo=mktz())}, {'e': 1})]
assert query == {'s': {'$gte': dt(2014, 1, 1, 12, 0, tzinfo=mktz()), '$lte': dt(2014, 1, 3, 0, 0, tzinfo=mktz())}}
def test_tickstore_to_bucket_with_image():
symbol = 'SYM'
tz = 'UTC'
initial_image = {'index': dt(2014, 1, 1, 0, 0, tzinfo=mktz(tz)), 'A': 123, 'B': 54.4, 'C': 'DESC'}
data = [{'index': dt(2014, 1, 1, 0, 1, tzinfo=mktz(tz)), 'A': 124, 'D': 0},
{'index': dt(2014, 1, 1, 0, 2, tzinfo=mktz(tz)), 'A': 125, 'B': 27.2}]
bucket, final_image = TickStore._to_bucket(data, symbol, initial_image)
assert bucket[COUNT] == 2
assert bucket[END] == dt(2014, 1, 1, 0, 2, tzinfo=mktz(tz))
assert set(bucket[COLUMNS]) == set(('A', 'B', 'D'))
assert set(bucket[COLUMNS]['A']) == set((ROWMASK, DTYPE, DATA))
assert get_coldata(bucket[COLUMNS]['A']) == ([124, 125], [1, 1, 0, 0, 0, 0, 0, 0])
assert get_coldata(bucket[COLUMNS]['B']) == ([27.2], [0, 1, 0, 0, 0, 0, 0, 0])
assert get_coldata(bucket[COLUMNS]['D']) == ([0], [1, 0, 0, 0, 0, 0, 0, 0])
index = [dt.fromtimestamp(int(i/1000)).replace(tzinfo=mktz(tz)) for i in
list(np.cumsum(np.frombuffer(decompress(bucket[INDEX]), dtype='uint64')))]
assert index == [i['index'] for i in data]
assert bucket[COLUMNS]['A'][DTYPE] == 'int64'
assert bucket[COLUMNS]['B'][DTYPE] == 'float64'
assert bucket[SYMBOL] == symbol
assert bucket[START] == initial_image['index']
assert bucket[IMAGE_DOC][IMAGE] == initial_image
assert bucket[IMAGE_DOC] == {IMAGE: initial_image,
IMAGE_TIME: initial_image['index']}
assert final_image == {'index': data[-1]['index'], 'A': 125, 'B': 27.2, 'C': 'DESC', 'D': 0}
def test_tickstore_to_bucket_with_image():
symbol = 'SYM'
tz = 'UTC'
initial_image = {'index': dt(2014, 1, 1, 0, 0, tzinfo=mktz(tz)), 'A': 123, 'B': 54.4, 'C': 'DESC'}
data = [{'index': dt(2014, 1, 1, 0, 1, tzinfo=mktz(tz)), 'A': 124, 'D': 0},
{'index': dt(2014, 1, 1, 0, 2, tzinfo=mktz(tz)), 'A': 125, 'B': 27.2}]
bucket, final_image = TickStore._to_bucket(data, symbol, initial_image)
assert bucket[COUNT] == 2
assert bucket[END] == dt(2014, 1, 1, 0, 2, tzinfo=mktz(tz))
assert set(bucket[COLUMNS]) == set(('A', 'B', 'D'))
assert set(bucket[COLUMNS]['A']) == set((ROWMASK, DTYPE, DATA))
assert get_coldata(bucket[COLUMNS]['A']) == ([124, 125], [1, 1, 0, 0, 0, 0, 0, 0])
assert get_coldata(bucket[COLUMNS]['B']) == ([27.2], [0, 1, 0, 0, 0, 0, 0, 0])
assert get_coldata(bucket[COLUMNS]['D']) == ([0], [1, 0, 0, 0, 0, 0, 0, 0])
index = [dt.fromtimestamp(int(i/1000)).replace(tzinfo=mktz(tz)) for i in
list(np.cumsum(np.fromstring(lz4.decompress(bucket[INDEX]), dtype='uint64')))]
assert index == [i['index'] for i in data]
assert bucket[COLUMNS]['A'][DTYPE] == 'int64'
assert bucket[COLUMNS]['B'][DTYPE] == 'float64'
assert bucket[SYMBOL] == symbol
assert bucket[START] == initial_image['index']
assert bucket[IMAGE_DOC][IMAGE] == initial_image
assert bucket[IMAGE_DOC] == {IMAGE: initial_image,
IMAGE_TIME: initial_image['index']}
assert final_image == {'index': data[-1]['index'], 'A': 125, 'B': 27.2, 'C': 'DESC', 'D': 0}
def test_mongo_date_range_query():
self = create_autospec(TickStore)
self._collection = create_autospec(Collection)
self._symbol_query.return_value = {"sy": { "$in" : [ "s1" , "s2"]}}
self._collection.aggregate.return_value = iter([{"_id": "s1", "start": dt(2014, 1, 1, 0, 0, tzinfo=mktz())},
{"_id": "s2", "start": dt(2014, 1, 1, 12, 0, tzinfo=mktz())}])
self._collection.find_one.side_effect = [
{'e': dt(2014, 1, 1, 15, 0, tzinfo=mktz())},
{'e': dt(2014, 1, 2, 12, 0, tzinfo=mktz())}]
query = TickStore._mongo_date_range_query(self, 'sym', DateRange(dt(2014, 1, 2, 0, 0, tzinfo=mktz()),
dt(2014, 1, 3, 0, 0, tzinfo=mktz())))
assert self._collection.aggregate.call_args_list == [call([
{"$match": {"s": {"$lte": dt(2014, 1, 2, 0, 0, tzinfo=mktz())}, "sy": { "$in" : [ "s1" , "s2"]}}},
{"$project": {"_id": 0, "s": 1, "sy": 1}},
{"$group": {"_id": "$sy", "start": {"$max": "$s"}}},
{"$sort": {"start": 1}}])]
assert self._collection.find_one.call_args_list == [
call({'sy': 's1', 's': dt(2014, 1, 1, 0, 0, tzinfo=mktz())}, {'e': 1}),
call({'sy': 's2', 's': dt(2014, 1, 1, 12, 0, tzinfo=mktz())}, {'e': 1})]
assert query == {'s': {'$gte': dt(2014, 1, 1, 12, 0, tzinfo=mktz()), '$lte': dt(2014, 1, 3, 0, 0, tzinfo=mktz())}}
def test_tickstore_pandas_to_bucket_image():
symbol = 'SYM'
tz = 'UTC'
initial_image = {'index': dt(2014, 1, 1, 0, 0, tzinfo=mktz(tz)), 'A': 123, 'B': 54.4, 'C': 'DESC'}
data = [{'A': 120, 'D': 1}, {'A': 122, 'B': 2.0}, {'A': 3, 'B': 3.0, 'D': 1}]
tick_index = [dt(2014, 1, 2, 0, 0, tzinfo=mktz(tz)),
dt(2014, 1, 3, 0, 0, tzinfo=mktz(tz)),
dt(2014, 1, 4, 0, 0, tzinfo=mktz(tz))]
data = pd.DataFrame(data, index=tick_index)
bucket, final_image = TickStore._pandas_to_bucket(data, symbol, initial_image)
assert final_image == {'index': dt(2014, 1, 4, 0, 0, tzinfo=mktz(tz)), 'A': 3, 'B': 3.0, 'C': 'DESC', 'D': 1}
assert IMAGE_DOC in bucket
assert bucket[COUNT] == 3
assert bucket[START] == dt(2014, 1, 1, 0, 0, tzinfo=mktz(tz))
assert bucket[END] == dt(2014, 1, 4, 0, 0, tzinfo=mktz(tz))
assert set(bucket[COLUMNS]) == set(('A', 'B', 'D'))
assert set(bucket[COLUMNS]['A']) == set((ROWMASK, DTYPE, DATA))
assert get_coldata(bucket[COLUMNS]['A']) == ([120, 122, 3], [1, 1, 1, 0, 0, 0, 0, 0])
values, rowmask = get_coldata(bucket[COLUMNS]['B'])
assert np.isnan(values[0]) and values[1:] == [2.0, 3.0]
assert rowmask == [1, 1, 1, 0, 0, 0, 0, 0]
values, rowmask = get_coldata(bucket[COLUMNS]['D'])
assert np.isnan(values[1])
assert values[0] == 1 and values[2] == 1
assert rowmask == [1, 1, 1, 0, 0, 0, 0, 0]
index = [dt.fromtimestamp(int(i/1000)).replace(tzinfo=mktz(tz)) for i in
list(np.cumsum(np.fromstring(lz4.decompress(bucket[INDEX]), dtype='uint64')))]
assert index == tick_index
assert bucket[COLUMNS]['A'][DTYPE] == 'int64'
assert bucket[COLUMNS]['B'][DTYPE] == 'float64'
assert bucket[SYMBOL] == symbol
assert bucket[IMAGE_DOC] == {IMAGE: initial_image,
IMAGE_TIME: initial_image['index']}
def test_mongo_date_range_query():
self = create_autospec(TickStore)
self._collection = create_autospec(Collection)
self._collection.find_one.return_value = {'s': sentinel.start}
self._symbol_query = partial(TickStore._symbol_query, self)
query = TickStore._mongo_date_range_query(self, 'sym', DateRange(dt(2014, 1, 1, 0, 0, tzinfo=mktz()),
dt(2014, 1, 2, 0, 0, tzinfo=mktz())))
assert self._collection.find_one.call_args_list == [call({'sy': 'sym', 's': {'$lte': dt(2014, 1, 1, 0, 0, tzinfo=mktz())}},
sort=[('s', -1)], projection={'s': 1, '_id': 0}),
call({'sy': 'sym', 's': {'$gt': dt(2014, 1, 2, 0, 0, tzinfo=mktz())}},
sort=[('s', 1)], projection={'s': 1, '_id': 0})]
assert query == {'s': {'$gte': sentinel.start, '$lt': sentinel.start}}
def test_tickstore_to_bucket_no_image():
symbol = 'SYM'
data = [{'index': dt(2014, 1, 1, 0, 1, tzinfo=mktz()), 'A': 124, 'D': 0},
{'index': dt(2014, 1, 1, 0, 2, tzinfo=mktz()), 'A': 125, 'B': 27.2}]
bucket, final_image = TickStore._to_bucket(data, symbol, None)
assert bucket[COUNT] == 2
assert bucket[END] == dt(2014, 1, 1, 0, 2, tzinfo=mktz())
assert bucket[SYMBOL] == symbol
assert bucket[START] == dt(2014, 1, 1, 0, 1, tzinfo=mktz())
assert 'A' in bucket[COLUMNS]
assert IMAGE_DOC not in bucket
assert not final_image
def test_tickstore_to_bucket_no_image():
symbol = 'SYM'
data = [{'index': dt(2014, 1, 1, 0, 1, tzinfo=mktz()), 'A': 124, 'D': 0},
{'index': dt(2014, 1, 1, 0, 2, tzinfo=mktz()), 'A': 125, 'B': 27.2}]
bucket, final_image = TickStore._to_bucket(data, symbol, None)
assert bucket[COUNT] == 2
assert bucket[END] == dt(2014, 1, 1, 0, 2, tzinfo=mktz())
assert bucket[SYMBOL] == symbol
assert bucket[START] == dt(2014, 1, 1, 0, 1, tzinfo=mktz())
assert 'A' in bucket[COLUMNS]
assert IMAGE_DOC not in bucket
assert not final_image
def test_mongo_date_range_query_asserts():
self = create_autospec(TickStore)
self._collection = create_autospec(Collection)
self._collection.find_one.return_value = {'s': sentinel.start}
with pytest.raises(AssertionError):
TickStore._mongo_date_range_query(self, 'sym', DateRange(None, None, CLOSED_OPEN))
with pytest.raises(AssertionError):
TickStore._mongo_date_range_query(self, 'sym', DateRange(dt(2014, 1, 1), None))
with pytest.raises(AssertionError):
TickStore._mongo_date_range_query(self, 'sym', DateRange(None, dt(2014, 1, 1)))
def test_mongo_date_range_query_asserts():
self = create_autospec(TickStore)
self._collection = create_autospec(Collection)
self._collection.find_one.return_value = {'s': sentinel.start}
with pytest.raises(AssertionError):
TickStore._mongo_date_range_query(self, 'sym', DateRange(None, None, CLOSED_OPEN))
with pytest.raises(AssertionError):
TickStore._mongo_date_range_query(self, 'sym', DateRange(dt(2014, 1, 1), None))
with pytest.raises(AssertionError):
TickStore._mongo_date_range_query(self, 'sym', DateRange(None, dt(2014, 1, 1)))
def test_mongo_date_range_query():
self = create_autospec(TickStore)
self._collection = create_autospec(Collection)
self._collection.find_one.return_value = {"s": sentinel.start}
self._symbol_query = partial(TickStore._symbol_query, self)
query = TickStore._mongo_date_range_query(
self, "sym", DateRange(dt(2014, 1, 1, 0, 0, tzinfo=mktz()), dt(2014, 1, 2, 0, 0, tzinfo=mktz()))
)
assert self._collection.find_one.call_args_list == [
call(
{"sy": "sym", "s": {"$lte": dt(2014, 1, 1, 0, 0, tzinfo=mktz())}},
sort=[("s", -1)],
projection={"s": 1, "_id": 0},
),
call(
{"sy": "sym", "s": {"$gt": dt(2014, 1, 2, 0, 0, tzinfo=mktz())}},
sort=[("s", 1)],
projection={"s": 1, "_id": 0},
),
]
assert query == {"s": {"$gte": sentinel.start, "$lt": sentinel.start}}
def test_strify_tickstore():
# Fix GH issue 49 - str(tick library) fails in IPython
self = create_autospec(TickStore)
self._arctic_lib = sentinel.library
assert 'sentinel.library' in TickStore.__str__(self)
def test__read_preference__default_false():
self = create_autospec(TickStore, _allow_secondary=False)
assert TickStore._read_preference(self, None) == ReadPreference.PRIMARY
def test__read_preference__default_true():
self = create_autospec(TickStore, _allow_secondary=True)
assert TickStore._read_preference(self, None) == ReadPreference.NEAREST
def test__read_preference__default_false():
self = create_autospec(TickStore, _allow_secondary=False)
assert TickStore._read_preference(self, None) == ReadPreference.PRIMARY
def test_strify_tickstore():
# Fix GH issue 49 - str(tick library) fails in IPython
self = create_autospec(TickStore)
self._arctic_lib = sentinel.library
assert 'sentinel.library' in TickStore.__str__(self)
def test__read_preference__default_true():
self = create_autospec(TickStore, _allow_secondary=True)
assert TickStore._read_preference(self, None) == ReadPreference.NEAREST
