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39 lines
1.8 KiB
Python
39 lines
1.8 KiB
Python
from fastapi.testclient import TestClient
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from app.main import create_app
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import app.core.qdrant_points as qp
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import app.core.graph_adapter as ga
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def _fake_search_chunks_by_vector(client, prefix, vector, top=10, filters=None):
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return [
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("chunk:1", 0.8, {"note_id":"note:1","path":"a.md","section_title":"S1"}),
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("chunk:2", 0.6, {"note_id":"note:2","path":"b.md","section_title":"S2"}),
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("chunk:3", 0.4, {"note_id":"note:3","path":"c.md","section_title":"S3"}),
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]
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def _fake_get_edges_for_sources(client, prefix, source_ids, edge_types=None, limit=2048):
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# Erzeuge ein paar Edges von den Seeds weg
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out=[]
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for sid in source_ids:
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out.append({"source_id":sid,"target_id":f"{sid}->n1","kind":"references","weight":0.2})
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out.append({"source_id":sid,"target_id":f"{sid}->n2","kind":"belongs_to","weight":0.1})
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return out
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def test_query_hybrid_with_monkeypatch(monkeypatch):
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monkeypatch.setattr(qp, "search_chunks_by_vector", _fake_search_chunks_by_vector)
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monkeypatch.setattr(qp, "get_edges_for_sources", _fake_get_edges_for_sources) # falls indirekt genutzt
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# graph_adapter.expand ruft get_edges_for_sources via qp; wir patchen direkt dort:
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monkeypatch.setattr(ga, "get_edges_for_sources", _fake_get_edges_for_sources, raising=False)
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app = create_app()
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with TestClient(app) as c:
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payload = {"mode":"hybrid","query_vector":[0.0]*384,"top_k":2,
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"expand":{"depth":1,"edge_types":["references","belongs_to"]}}
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r = c.post("/query", json=payload)
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assert r.status_code == 200, r.text
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data = r.json()
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assert data["used_mode"] == "hybrid"
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assert len(data["results"]) == 2
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# Scores absteigend
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tots = [h["total_score"] for h in data["results"]]
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assert tots[0] >= tots[1]
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