[Python] How to form a projection while filtering some nodes in Neo4j

I have the following query in Neo4j using the Python library graphdatascience:

G, result = gds.graph.project(
"communities", # Graph name
"__Entity__", # Node projection
{
"_ALL_": {
"type": "*",
"orientation": "UNDIRECTED",
"properties": {"weight": {"property": "*", "aggregation": "COUNT"}},
}
},
)


And I try to run this for a filtered selection of nodes. So I used this:

G, result = gds.graph.cypher.project(
"""
MATCH (n:__Entity__)--(m:__Entity__)
WHERE n.node_embedding IS NOT NULL
AND m.node_embedding IS NOT NULL
AND n.docID = $doc
AND m.docID = $doc
RETURN gds.graph.project($graph_name, n, m,
{
sourceNodeLabels: $label,
targetNodeLabels: $label,
sourceNodeProperties: n { .weight },
targetNodeProperties: m { .weight }
},
{
undirectedRelationshipTypes: ['*']
})
""",
database='neo4j',
graph_name='communities',
label='__Entity__',
doc='Gasification'
)


But I'm stuck on how to relate the "properties": {"weight": {"property": "*", "aggregation": "COUNT"}} in the code. Any pointer will be highly appreciated.

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