from fastapi.testclient import TestClient
from app.main import create_app
import app.core.qdrant_points as qp
import app.core.graph_adapter as ga

def _fake_search_chunks_by_vector(client, prefix, vector, top=10, filters=None):
    return [
        ("chunk:1", 0.8, {"note_id":"note:1","path":"a.md","section_title":"S1"}),
        ("chunk:2", 0.6, {"note_id":"note:2","path":"b.md","section_title":"S2"}),
        ("chunk:3", 0.4, {"note_id":"note:3","path":"c.md","section_title":"S3"}),
    ]

def _fake_get_edges_for_sources(client, prefix, source_ids, edge_types=None, limit=2048):
    # Erzeuge ein paar Edges von den Seeds weg
    out=[]
    for sid in source_ids:
        out.append({"source_id":sid,"target_id":f"{sid}->n1","kind":"references","weight":0.2})
        out.append({"source_id":sid,"target_id":f"{sid}->n2","kind":"belongs_to","weight":0.1})
    return out

def test_query_hybrid_with_monkeypatch(monkeypatch):
    monkeypatch.setattr(qp, "search_chunks_by_vector", _fake_search_chunks_by_vector)
    monkeypatch.setattr(qp, "get_edges_for_sources", _fake_get_edges_for_sources)  # falls indirekt genutzt
    # graph_adapter.expand ruft get_edges_for_sources via qp; wir patchen direkt dort:
    monkeypatch.setattr(ga, "get_edges_for_sources", _fake_get_edges_for_sources, raising=False)

    app = create_app()
    with TestClient(app) as c:
        payload = {"mode":"hybrid","query_vector":[0.0]*384,"top_k":2,
                   "expand":{"depth":1,"edge_types":["references","belongs_to"]}}
        r = c.post("/query", json=payload)
        assert r.status_code == 200, r.text
        data = r.json()
        assert data["used_mode"] == "hybrid"
        assert len(data["results"]) == 2
        # Scores absteigend
        tots = [h["total_score"] for h in data["results"]]
        assert tots[0] >= tots[1]