from types import SimpleNamespace

from wordarr.importer.matcher import best_matches, normalize, score


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


def test_leetspeak_title_matches():
    assert normalize("DiE DR3i - Folge 03") == "die drei folge 03"
    # digits at a word edge stay put, they carry the episode number
    assert normalize("Folge03 v2 [m4b]") == "folge03"

    r = req(1, "Die dr3i - Böses Erwachen", media_type="audiobook")
    r.volume = 2
    items = [{"path": "/d/x", "name": "Die drei 02 - Boeses Erwachen",
              "media_type": "audiobook", "is_dir": True, "files": ["/d/x/a.mp3"]}]
    out = best_matches(items, [r])
    assert out[0]["suggested_request_id"] == 1


def test_digit_inside_word_is_not_a_volume():
    from wordarr.importer.matcher import score
    r = req(1, "Die dr3i - Folge 5", media_type="audiobook")
    r.volume = 5
    # "dr3i" must not contribute a "3" that satisfies the volume check
    r3 = req(2, "Die dr3i - Folge 3", media_type="audiobook")
    r3.volume = 3
    assert score("DiE DR3i - 05 - Der Fall", r) > score("DiE DR3i - 05 - Der Fall", r3)


def test_series_in_folder_path_carries_the_match():
    """Downloads named "001 - Titel" only match via the series in their path."""
    r = req(1, "Die drei ??? Folge 001", media_type="audiobook")
    r.volume, r.series = 1, "Die drei ???"
    item = {"path": "/d/x", "name": "001 - Der Super - Papagei",
            "rel_dir": "Die Drei Fragezeichen/Folgen/3478632869 001-010",
            "media_type": "audiobook", "is_dir": True, "files": ["/d/x/a.mp3"]}
    out = best_matches([item], [r])
    assert out[0]["suggested_request_id"] == 1
    assert out[0]["score"] >= 90
    # without the series context it stays a weak fuzzy guess
    assert score("001 - Der Super - Papagei", r) < 90


def test_questionmarks_equal_fragezeichen():
    assert normalize("Die drei ???") == normalize("Die Drei Fragezeichen")


def test_disc_count_is_not_an_episode_number():
    r = req(1, "Die drei ??? und der Phantomsee", media_type="audiobook")
    r.volume = 2
    # "(2 CDs)" must not satisfy the volume check of episode 2
    assert score("Die drei Fragezeichen 001 - Super-Papagei (2 CDs)", r) == 40.0