def test_managed_stream(self):
dfl = SnapLog(
graph_id=self.graph.hash,
node_key=self.node_source.key,
snap_key=self.node_source.snap.key,
runtime_url="test",
)
drl = DataBlockLog(
snap_log=dfl,
data_block=self.dr1t1,
direction=Direction.OUTPUT,
)
dfl2 = SnapLog(
graph_id=self.graph.hash,
node_key=self.node1.key,
snap_key=self.node1.snap.key,
runtime_url="test",
)
drl2 = DataBlockLog(
snap_log=dfl2,
data_block=self.dr1t1,
direction=Direction.INPUT,
)
self.env.md_api.add_all([dfl, drl, dfl2, drl2])
s = stream(nodes=self.node_source)
s = s.filter_unprocessed(self.node1)
ctx = make_test_run_context()
with ctx.env.md_api.begin():
dbs = ManagedDataBlockStream(ctx, stream_builder=s)
with pytest.raises(StopIteration):
assert next(dbs) is None
def test_stream_unprocessed_ineligible_already_input(self):
dfl = SnapLog(
graph_id=self.graph.hash,
node_key=self.node_source.key,
snap_key=self.node_source.snap.key,
runtime_url="test",
)
drl = DataBlockLog(
snap_log=dfl,
data_block=self.dr1t1,
direction=Direction.OUTPUT,
)
dfl2 = SnapLog(
graph_id=self.graph.hash,
node_key=self.node1.key,
snap_key=self.node1.snap.key,
runtime_url="test",
)
drl2 = DataBlockLog(
snap_log=dfl2,
data_block=self.dr1t1,
direction=Direction.INPUT,
)
self.env.md_api.add_all([dfl, drl, dfl2, drl2])
s = stream(nodes=self.node_source)
s = s.filter_unprocessed(self.node1)
assert s.get_query_result(self.env).scalar_one_or_none() is None
def test_stream_unprocessed_eligible_schema(self):
dfl = SnapLog(
graph_id=self.graph.hash,
node_key=self.node_source.key,
snap_key=self.node_source.snap.key,
runtime_url="test",
)
drl = DataBlockLog(
snap_log=dfl,
data_block=self.dr1t1,
direction=Direction.OUTPUT,
)
self.env.md_api.add_all([dfl, drl])
s = stream(nodes=self.node_source, schema="TestSchema1")
s = s.filter_unprocessed(self.node1)
assert s.get_query_result(self.env).scalar_one_or_none() == self.dr1t1
s = stream(nodes=self.node_source, schema="TestSchema2")
s = s.filter_unprocessed(self.node1)
assert s.get_query_result(self.env).scalar_one_or_none() is None
def test_stream_unprocessed_eligible(self):
dfl = DataFunctionLog(
graph_id=self.graph.hash,
node_key=self.node_source.key,
function_key=self.node_source.function.key,
runtime_url="test",
)
drl = DataBlockLog(
function_log=dfl,
data_block=self.dr1t1,
direction=Direction.OUTPUT,
)
self.env.md_api.add_all([dfl, drl])
s = stream(nodes=self.node_source)
s = s.filter_unprocessed(self.node1)
assert s.get_query_result(self.env).scalar_one_or_none() == self.dr1t1
def test_operators(self):
dfl = SnapLog(
graph_id=self.graph.hash,
node_key=self.node_source.key,
snap_key=self.node_source.snap.key,
runtime_url="test",
)
drl = DataBlockLog(
snap_log=dfl,
data_block=self.dr1t1,
direction=Direction.OUTPUT,
)
drl2 = DataBlockLog(
snap_log=dfl,
data_block=self.dr2t1,
direction=Direction.OUTPUT,
)
self.env.md_api.add_all([dfl, drl, drl2])
self._cnt = 0
@operator
def count(stream: DataBlockStream) -> DataBlockStream:
for db in stream:
self._cnt += 1
yield db
sb = stream(nodes=self.node_source)
expected_cnt = sb.get_count(self.env)
assert expected_cnt == 2
list(count(sb).as_managed_stream(self.ctx))
assert self._cnt == expected_cnt
# Test composed operators
self._cnt = 0
list(count(latest(sb)).as_managed_stream(self.ctx))
assert self._cnt == 1
# Test kwargs
self._cnt = 0
list(
count(filter(sb, function=lambda db: False)).as_managed_stream(
self.ctx))
assert self._cnt == 0
def test_stream_unprocessed_ineligible_already_output(self):
"""
By default we don't input a block that has already been output by a DF, _even if that block was never input_,
UNLESS input is a self reference (`this`). This is to prevent infinite loops.
"""
dfl = SnapLog(
graph_id=self.graph.hash,
node_key=self.node_source.key,
snap_key=self.node_source.snap.key,
runtime_url="test",
)
drl = DataBlockLog(
snap_log=dfl,
data_block=self.dr1t1,
direction=Direction.OUTPUT,
)
dfl2 = SnapLog(
graph_id=self.graph.hash,
node_key=self.node1.key,
snap_key=self.node1.snap.key,
runtime_url="test",
)
drl2 = DataBlockLog(
snap_log=dfl2,
data_block=self.dr1t1,
direction=Direction.OUTPUT,
)
self.env.md_api.add_all([dfl, drl, dfl2, drl2])
s = stream(nodes=self.node_source)
s1 = s.filter_unprocessed(self.node1)
assert s1.get_query_result(self.env).scalar_one_or_none() is None
# But ok with self reference
s2 = s.filter_unprocessed(self.node1, allow_cycle=True)
assert s2.get_query_result(self.env).scalar_one_or_none() == self.dr1t1
def test_stream_unprocessed_pristine(self):
s = stream(nodes=self.node_source)
s = s.filter_unprocessed(self.node1)
assert s.get_query_result(self.env).scalar_one_or_none() is None
