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22 changes: 15 additions & 7 deletions neuprint/queries.py
Original file line number Diff line number Diff line change
Expand Up @@ -477,7 +477,7 @@ def _process_neuron_df(neuron_df, client):
@inject_client
@make_args_iterable(['rois'])
@neuroncriteria_args('upstream_criteria', 'downstream_criteria')
def fetch_simple_connections(upstream_criteria=None, downstream_criteria=None, rois=None, min_weight=1,
def fetch_simple_connections(upstream_criteria=None, downstream_criteria=None, rois=None, weightHP=False, min_weight=1,
properties=['type', 'instance'],
*, client=None):
"""
Expand Down Expand Up @@ -537,6 +537,10 @@ def fetch_simple_connections(upstream_criteria=None, downstream_criteria=None, r
up_crit = copy.deepcopy(upstream_criteria)
down_crit = copy.deepcopy(downstream_criteria)

weight_type = "weight"
if weightHP:
weight_type = "weightHP"

if up_crit is None:
up_crit = NC(label='Neuron')
if down_crit is None:
Expand All @@ -550,7 +554,7 @@ def fetch_simple_connections(upstream_criteria=None, downstream_criteria=None, r
if min_weight > 1:
weight_expr = dedent(f"""\
WITH n, m, e
WHERE e.weight >= {min_weight}
WHERE e.{weight_type} >= {min_weight}
""")
weight_expr = indent(weight_expr, ' '*8)[8:]
else:
Expand All @@ -563,7 +567,7 @@ def fetch_simple_connections(upstream_criteria=None, downstream_criteria=None, r

return_props = ['n.bodyId as bodyId_pre',
'm.bodyId as bodyId_post',
'e.weight as weight']
'e.{weight_type} as weight']

for p in properties:
if p == 'roiInfo':
Expand All @@ -586,7 +590,7 @@ def fetch_simple_connections(upstream_criteria=None, downstream_criteria=None, r
{combined_conditions}
{weight_expr}
RETURN {return_props_str}
ORDER BY e.weight DESC,
ORDER BY e.{weight_type} DESC,
n.bodyId,
m.bodyId
"""
Expand Down Expand Up @@ -1196,7 +1200,7 @@ def fetch_common_connectivity(criteria, search_direction='upstream', min_weight=

@inject_client
def fetch_shortest_paths(upstream_bodyId, downstream_bodyId, min_weight=1,
intermediate_criteria=None,
intermediate_criteria=None, weightHP=False,
timeout=5.0, *, client=None):
"""
Find all neurons along the shortest path between two neurons.
Expand Down Expand Up @@ -1250,6 +1254,10 @@ def fetch_shortest_paths(upstream_bodyId, downstream_bodyId, min_weight=1,

[5778 rows x 4 columns]
"""
weight_type = "weight"
if weightHP:
weight_type = "weightHP"

if intermediate_criteria is None:
intermediate_criteria = NeuronCriteria(status="Traced", client=client)
else:
Expand All @@ -1273,11 +1281,11 @@ def fetch_shortest_paths(upstream_bodyId, downstream_bodyId, min_weight=1,
(dest:Neuron {{ bodyId: {downstream_bodyId} }}),
p = allShortestPaths((src)-[:ConnectsTo*]->(dest))

WHERE ALL (x in relationships(p) WHERE x.weight >= {min_weight})
WHERE ALL (x in relationships(p) WHERE x.{weight_type} >= {min_weight})
AND ALL (n in nodes(p) {nodes_where})

RETURN [n in nodes(p) | [n.bodyId, n.type]] AS path,
[x in relationships(p) | x.weight] AS weights",
[x in relationships(p) | x.{weight_type}] AS weights",

{{}},{timeout_ms}) YIELD value
RETURN value.path as path, value.weights AS weights
Expand Down