50 lines
1.9 KiB
Python
50 lines
1.9 KiB
Python
from types import SimpleNamespace
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from wordarr.importer.matcher import best_matches, normalize
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def req(id, title, authors="", media_type="ebook"):
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return SimpleNamespace(id=id, title=title, authors=authors, media_type=media_type, volume=None)
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def test_normalize():
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assert normalize("J.R.R._Tolkien-The_Hobbit[retail].epub") == "j r r tolkien the hobbit"
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def test_match_finds_right_request():
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requests = [
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req(1, "The Hobbit", "J.R.R. Tolkien"),
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req(2, "Dune", "Frank Herbert"),
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]
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items = [{"path": "/d/x.epub", "name": "Frank Herbert - Dune (1965) retail", "media_type": "ebook",
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"is_dir": False, "files": ["/d/x.epub"]}]
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out = best_matches(items, requests)
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assert out[0]["suggested_request_id"] == 2
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def test_no_match_for_unrelated_file():
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requests = [req(1, "The Hobbit", "Tolkien")]
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items = [{"path": "/d/y.epub", "name": "Cooking for Dummies 2019", "media_type": "ebook",
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"is_dir": False, "files": ["/d/y.epub"]}]
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out = best_matches(items, requests)
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assert out[0]["suggested_request_id"] is None
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def test_media_type_filter():
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requests = [req(1, "Dune", "Herbert", media_type="audiobook")]
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items = [{"path": "/d/dune.epub", "name": "Herbert - Dune", "media_type": "ebook",
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"is_dir": False, "files": ["/d/dune.epub"]}]
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out = best_matches(items, requests)
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assert out[0]["suggested_request_id"] is None
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def test_volume_number_must_match():
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r1 = req(1, "Die drei ??? Folge 001", "", media_type="audiobook")
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r1.volume = 1
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r123 = req(2, "Die drei ??? Folge 123", "", media_type="audiobook")
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r123.volume = 123
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items = [{"path": "/d/f.mp3", "name": "Die drei Fragezeichen - Folge 123 - Der Superpapagei",
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"media_type": "audiobook", "is_dir": False, "files": ["/d/f.mp3"]}]
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out = best_matches(items, [r1, r123])
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assert out[0]["suggested_request_id"] == 2
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