package recognize import ( "context" "errors" "testing" "git.vakhrushev.me/av/jellybit/internal/metadata" ) type fakeProvider struct { name string candidates []metadata.Candidate counts map[int]int searchErr error searched int } func (f *fakeProvider) Name() string { if f.name == "" { return "tmdb" } return f.name } func (f *fakeProvider) Search(_ context.Context, _ metadata.Query) ([]metadata.Candidate, error) { f.searched++ return f.candidates, f.searchErr } func (f *fakeProvider) SeasonEpisodeCounts(_ context.Context, _ string) (map[int]int, error) { return f.counts, nil } func recognizerWith(p metadata.Provider) *Recognizer { var providers []metadata.Provider if p != nil { providers = []metadata.Provider{p} } return New(&fakeLLM{}, providers, Config{}, testLogger()) } func TestMatchMetadata_SingleStrong(t *testing.T) { p := &fakeProvider{candidates: []metadata.Candidate{ {Provider: "tmdb", ID: "603", Title: "The Matrix", Year: 1999}, {Provider: "tmdb", ID: "604", Title: "The Matrix Reloaded", Year: 2003}, }} r := recognizerWith(p) m := r.matchMetadata(context.Background(), Plan{Type: MediaMovie, Title: "The Matrix", Year: 1999}) if m == nil { t.Fatal("expected match") } if m.ProviderID != "603" || m.Provider != "tmdb" { t.Errorf("match = %+v", m) } } func TestMatchMetadata_AmbiguousNoMatch(t *testing.T) { // Два кандидата с тем же названием и годом — неоднозначно. p := &fakeProvider{candidates: []metadata.Candidate{ {ID: "1", Title: "Fargo", Year: 2014}, {ID: "2", Title: "Fargo", Year: 2014}, }} r := recognizerWith(p) if m := r.matchMetadata(context.Background(), Plan{Type: MediaSeries, Title: "Fargo", Year: 2014}); m != nil { t.Errorf("ambiguous must not match, got %+v", m) } } func TestMatchMetadata_YearMismatch(t *testing.T) { p := &fakeProvider{candidates: []metadata.Candidate{{ID: "1", Title: "X", Year: 1990}}} r := recognizerWith(p) if m := r.matchMetadata(context.Background(), Plan{Type: MediaMovie, Title: "X", Year: 2020}); m != nil { t.Errorf("year mismatch must not match, got %+v", m) } } func TestMatchMetadata_OriginalTitle(t *testing.T) { p := &fakeProvider{candidates: []metadata.Candidate{ {ID: "1", Title: "Leon", OriginalTitle: "Léon", Year: 1994}, }} r := recognizerWith(p) m := r.matchMetadata(context.Background(), Plan{Type: MediaMovie, Title: "Léon", Year: 1994}) if m == nil || m.ProviderID != "1" { t.Errorf("should match by original title, got %+v", m) } } func TestMatchMetadata_TagFromExternal(t *testing.T) { // TVMaze-стиль: нативный id для счёта серий, внешний TVDB-id для тега. p := &fakeProvider{ name: "tvmaze", candidates: []metadata.Candidate{ {Provider: "tvmaze", ID: "1", Title: "Fargo", Year: 2014, TagProvider: "tvdb", TagID: "269613"}, }, counts: map[int]int{1: 10}, } r := recognizerWith(p) m := r.matchMetadata(context.Background(), Plan{Type: MediaSeries, Title: "Fargo", Year: 2014}) if m == nil { t.Fatal("expected match") } // Провенанс/тег — внешний TVDB-id, а не нативный tvmaze. if m.Provider != "tvdb" || m.ProviderID != "269613" { t.Errorf("match provider = %s/%s, want tvdb/269613", m.Provider, m.ProviderID) } if m.SeasonEpisodeCounts[1] != 10 { t.Errorf("counts not fetched by native id: %+v", m.SeasonEpisodeCounts) } } func TestMatchMetadata_SeriesFetchesCounts(t *testing.T) { p := &fakeProvider{ candidates: []metadata.Candidate{{ID: "60622", Title: "Fargo", Year: 2014}}, counts: map[int]int{1: 10, 2: 10}, } r := recognizerWith(p) m := r.matchMetadata(context.Background(), Plan{Type: MediaSeries, Title: "Fargo", Year: 2014}) if m == nil || m.SeasonEpisodeCounts[1] != 10 { t.Errorf("counts not fetched: %+v", m) } } func TestMatchMetadata_ProviderErrorNoMatch(t *testing.T) { p := &fakeProvider{searchErr: errors.New("upstream down")} r := recognizerWith(p) if m := r.matchMetadata(context.Background(), Plan{Type: MediaMovie, Title: "X", Year: 2000}); m != nil { t.Errorf("provider error must yield no match, got %+v", m) } } func TestMatchMetadata_Disabled(t *testing.T) { r := recognizerWith(nil) if m := r.matchMetadata(context.Background(), Plan{Type: MediaMovie, Title: "X"}); m != nil { t.Errorf("no providers → no match, got %+v", m) } } func TestNormalize(t *testing.T) { cases := map[string]string{ "The Matrix": "the matrix", "Léon: The Pro!": "léon the pro", " A B ": "a b", "Привет, Мир": "привет мир", } for in, want := range cases { if got := normalize(in); got != want { t.Errorf("normalize(%q) = %q, want %q", in, got, want) } } } // Сквозной авто: LLM-план + матч в базе + чистая валидация → Decision.Auto. func TestRecognize_AutoWithMatch(t *testing.T) { in := Input{Name: "The.Matrix.1999", Files: []File{{Path: "m/film.mkv", Size: 1}}} resp := `{"type":"movie","title":"The Matrix","year":1999,"confidence":0.95, "provider_hint":"The Matrix","files":[{"src":"m/film.mkv","role":"main"}]}` llmFake := &fakeLLM{responses: []string{resp}} p := &fakeProvider{candidates: []metadata.Candidate{ {Provider: "tmdb", ID: "603", Title: "The Matrix", Year: 1999}, }} r := New(llmFake, []metadata.Provider{p}, Config{}, testLogger()) res, err := r.Recognize(context.Background(), in) if err != nil { t.Fatalf("Recognize: %v", err) } if !res.Decision.Auto { t.Errorf("expected auto, reasons: %v", res.Decision.Reasons) } if res.Match == nil || res.Match.ProviderID != "603" { t.Errorf("match = %+v", res.Match) } }