Files
jellybit/internal/recognize/metadata_test.go
T

180 lines
5.6 KiB
Go

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)
}
}