from types import SimpleNamespace

from wordarr.importer.matcher import best_matches, normalize


def req(id, title, authors="", media_type="ebook"):
    return SimpleNamespace(id=id, title=title, authors=authors, media_type=media_type, volume=None)


def test_normalize():
    assert normalize("J.R.R._Tolkien-The_Hobbit[retail].epub") == "j r r tolkien the hobbit"


def test_match_finds_right_request():
    requests = [
        req(1, "The Hobbit", "J.R.R. Tolkien"),
        req(2, "Dune", "Frank Herbert"),
    ]
    items = [{"path": "/d/x.epub", "name": "Frank Herbert - Dune (1965) retail", "media_type": "ebook",
              "is_dir": False, "files": ["/d/x.epub"]}]
    out = best_matches(items, requests)
    assert out[0]["suggested_request_id"] == 2


def test_no_match_for_unrelated_file():
    requests = [req(1, "The Hobbit", "Tolkien")]
    items = [{"path": "/d/y.epub", "name": "Cooking for Dummies 2019", "media_type": "ebook",
              "is_dir": False, "files": ["/d/y.epub"]}]
    out = best_matches(items, requests)
    assert out[0]["suggested_request_id"] is None


def test_media_type_filter():
    requests = [req(1, "Dune", "Herbert", media_type="audiobook")]
    items = [{"path": "/d/dune.epub", "name": "Herbert - Dune", "media_type": "ebook",
              "is_dir": False, "files": ["/d/dune.epub"]}]
    out = best_matches(items, requests)
    assert out[0]["suggested_request_id"] is None


def test_volume_number_must_match():
    r1 = req(1, "Die drei ??? Folge 001", "", media_type="audiobook")
    r1.volume = 1
    r123 = req(2, "Die drei ??? Folge 123", "", media_type="audiobook")
    r123.volume = 123
    items = [{"path": "/d/f.mp3", "name": "Die drei Fragezeichen - Folge 123 - Der Superpapagei",
              "media_type": "audiobook", "is_dir": False, "files": ["/d/f.mp3"]}]
    out = best_matches(items, [r1, r123])
    assert out[0]["suggested_request_id"] == 2