"""
Unit tests for Long-Term User Memory, Reciprocal Rank Fusion (RRF), and Semantic Cache.
"""
from __future__ import annotations

import pytest
import numpy as np
from services.rrf_service import compute_rrf
from services.reranker import RankedChunk
from services.cache import cache_service


def test_rrf_fusion():
    c1 = RankedChunk("Text A", 0.9, "doc1", "a.txt", 1, "hr")
    c2 = RankedChunk("Text B", 0.8, "doc2", "b.txt", 1, "hr")

    dense = [c1, c2]
    sparse = [c2, c1]

    merged = compute_rrf(dense, sparse, k=60, top_n=2)
    assert len(merged) == 2
    assert merged[0].score > 0.0


def test_semantic_cache():
    v1 = [1.0, 0.0, 0.0]
    v2 = [0.99, 0.01, 0.0] # High similarity with v1
    v3 = [0.0, 1.0, 0.0]  # Low similarity with v1

    res_data = {"response": "Cached answer"}
    cache_service.set_semantic(v1, res_data)

    # High similarity query hit
    hit = cache_service.get_semantic(v2, similarity_threshold=0.90)
    assert hit is not None
    assert hit["response"] == "Cached answer"

    # Low similarity query miss
    miss = cache_service.get_semantic(v3, similarity_threshold=0.90)
    assert miss is None