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Python

from yuxi.knowledge.graphs.milvus_graph_service import MilvusGraphService
from yuxi.knowledge.implementations.milvus import MilvusKB, _retrieval_config_options
def test_milvus_retrieval_config_exposes_graph_and_dependencies():
options = _retrieval_config_options()
by_key = {option["key"]: option for option in options}
assert by_key["use_graph_retrieval"]["default"] is False
assert by_key["graph_max_nodes"]["default"] == 10000
assert by_key["graph_max_nodes"]["depend_on"] == ("use_graph_retrieval", True)
assert by_key["graph_top_k"]["depend_on"] == ("use_graph_retrieval", True)
assert by_key["reranker_model"]["depend_on"] == ("use_reranker", True)
def test_graph_ppr_ranks_chunk_nodes_from_seed_entities():
subgraph = {
"nodes": [
{"id": "e1", "type": "Entity", "properties": {"entity_id": "seed"}},
{"id": "c1", "type": "Chunk", "properties": {"chunk_id": "chunk_a"}},
{"id": "e2", "type": "Entity", "properties": {"entity_id": "other"}},
{"id": "c2", "type": "Chunk", "properties": {"chunk_id": "chunk_b"}},
],
"edges": [
{"source_id": "e1", "target_id": "c1"},
{"source_id": "e1", "target_id": "e2"},
{"source_id": "e2", "target_id": "c2"},
],
}
ranked = MilvusGraphService.rank_chunks_by_ppr(subgraph, {"seed": 1.0}, top_k=2, damping=0.85)
assert [chunk_id for chunk_id, _ in ranked] == ["chunk_a", "chunk_b"]
def test_rrf_fusion_merges_chunk_and_graph_rankings():
kb = object.__new__(MilvusKB)
base_chunks = [
{"content": "base a", "metadata": {"chunk_id": "a"}, "score": 0.9},
{"content": "base b", "metadata": {"chunk_id": "b"}, "score": 0.8},
]
graph_chunks = [
{"content": "graph b", "metadata": {"chunk_id": "b"}, "score": 0.7, "graph_score": 0.7},
{"content": "graph c", "metadata": {"chunk_id": "c"}, "score": 0.6, "graph_score": 0.6},
]
fused = kb._fuse_chunk_rankings(base_chunks, graph_chunks, graph_weight=1.0)
assert [chunk["metadata"]["chunk_id"] for chunk in fused] == ["b", "a", "c"]
assert fused[0]["graph_score"] == 0.7
assert fused[0]["fusion_sources"] == ["chunk", "graph"]