agrag.ingestion.community.fetch_relation_edges
fetch_relation_edges(graph_store:GraphStore, *, page_size:int = 5000, use_cursor:bool = True) -> list[WeightedEdge]
Return every live domain relation as a weighted edge tuple.
Weight is len(source_chunk_ids) (attestation count). A relation with no attested chunks contributes weight 0.0, so an unsupported edge cannot inflate clustering or a community report importance. Two entities connected by more than one distinct relation type contribute one edge tuple per type. graspologic_native sums parallel-edge weights when it builds its own adjacency.
Supports cursor (keyset) pagination for large graphs where SKIP
is expensive, and legacy SKIP pagination for callers that need
it.
Parameters:
- graph_store (
GraphStore) – Where the relations are read from. - page_size (
int) – Rows fetched per page. - use_cursor (
bool) – When True uses keyset pagination on(a.id, b.id, type(r), r.id); when False usesSKIPpagination.
Returns:
list[WeightedEdge]– Edge tuples as (source_id_str, target_id_str, weight, rel_type).