Files
infinite-canvas/service/settings_test.go
T
2026-06-01 23:43:53 +08:00

152 lines
5.2 KiB
Go

package service
import (
"encoding/json"
"net/http"
"net/http/httptest"
"reflect"
"strings"
"testing"
"github.com/basketikun/infinite-canvas/model"
)
func TestFetchAdminChannelModelsParsesOpenAIModels(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/v1/models" {
t.Fatalf("unexpected path: %s", r.URL.Path)
}
w.Header().Set("Content-Type", "application/json")
_, _ = w.Write([]byte(`{"data":[{"id":"z-model"},{"id":"a-model"},{"id":""}]}`))
}))
defer server.Close()
models, err := fetchAdminChannelModels(model.ModelChannel{
BaseURL: server.URL,
APIKey: "test-key",
})
if err != nil {
t.Fatalf("fetchAdminChannelModels returned error: %v", err)
}
if want := []string{"a-model", "z-model"}; !reflect.DeepEqual(models, want) {
t.Fatalf("models = %#v, want %#v", models, want)
}
}
func TestFetchAdminChannelModelsReportsArkPlanModelsUnsupported(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/api/plan/v3/models" {
t.Fatalf("unexpected path: %s", r.URL.Path)
}
http.NotFound(w, r)
}))
defer server.Close()
_, err := fetchAdminChannelModels(model.ModelChannel{
BaseURL: server.URL + "/api/plan/v3/contents/generations/tasks",
APIKey: "test-key",
})
if err == nil {
t.Fatal("expected unsupported /models error")
}
if !strings.Contains(err.Error(), "Agent Plan 未提供 OpenAI /models") {
t.Fatalf("error = %q", err.Error())
}
}
func TestBuildModelChannelURLNormalizesArkPlanTaskPath(t *testing.T) {
got := BuildModelChannelURL(model.ModelChannel{BaseURL: "https://ark.cn-beijing.volces.com/api/plan/v3/contents/generations/tasks?debug=1"}, "/models")
want := "https://ark.cn-beijing.volces.com/api/plan/v3/models"
if got != want {
t.Fatalf("BuildModelChannelURL = %q, want %q", got, want)
}
}
func TestBuildModelChannelURLAcceptsVersionedSub2APIBaseURL(t *testing.T) {
got := BuildModelChannelURL(model.ModelChannel{BaseURL: "https://sub2api.example.com/v1"}, "/images/generations")
want := "https://sub2api.example.com/v1/images/generations"
if got != want {
t.Fatalf("BuildModelChannelURL = %q, want %q", got, want)
}
}
func TestNormalizePrivateSettingDefaultsSub2APIImageResponseFormatToURL(t *testing.T) {
setting := normalizePrivateSetting(model.PrivateSetting{Channels: []model.ModelChannel{{Compatibility: "sub2api"}}})
if got := setting.Channels[0].RequestOptions.ImageResponseFormat; got != "url" {
t.Fatalf("image response format = %q, want url", got)
}
}
func TestAdminTestChannelModelUsesImageGenerationProbeForImageModels(t *testing.T) {
var gotPath string
var gotPayload map[string]any
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
gotPath = r.URL.Path
if err := json.NewDecoder(r.Body).Decode(&gotPayload); err != nil {
t.Fatalf("Decode request body: %v", err)
}
w.Header().Set("Content-Type", "application/json")
_, _ = w.Write([]byte(`{"data":[{"url":"https://example.com/image.png"}]}`))
}))
defer server.Close()
result, err := testAdminChannelModel(model.ModelChannel{
Compatibility: "sub2api",
BaseURL: server.URL + "/v1",
APIKey: "test-key",
}, "gpt-image-2")
if err != nil {
t.Fatalf("testAdminChannelModel returned error: %v", err)
}
if result != "ok" {
t.Fatalf("result = %q, want ok", result)
}
if gotPath != "/v1/images/generations" {
t.Fatalf("path = %q, want /v1/images/generations", gotPath)
}
if gotPayload["model"] != "gpt-image-2" {
t.Fatalf("model = %#v", gotPayload["model"])
}
if gotPayload["response_format"] != "url" {
t.Fatalf("response_format = %#v, want url", gotPayload["response_format"])
}
}
func TestNormalizeSettingsPublishesEnabledChannelModelsAndRepairsDefaults(t *testing.T) {
settings := normalizeSettings(model.Settings{
Public: model.PublicSetting{
ModelChannel: model.PublicModelChannelSetting{
AvailableModels: []string{"grok-imagine-video", "disabled-model"},
DefaultModel: "grok-imagine-video",
DefaultTextModel: "missing-text",
DefaultImageModel: "missing-image",
DefaultVideoModel: "missing-video",
},
},
Private: model.PrivateSetting{
Channels: []model.ModelChannel{
{Enabled: true, Models: []string{"gpt-5.5", "doubao-seedream-5.0-lite", "doubao-seedance-2.0-fast", "gpt-5.5"}},
{Enabled: false, Models: []string{"disabled-model"}},
},
},
})
channel := settings.Public.ModelChannel
wantModels := []string{"gpt-5.5", "doubao-seedream-5.0-lite", "doubao-seedance-2.0-fast"}
if !reflect.DeepEqual(channel.AvailableModels, wantModels) {
t.Fatalf("available models = %#v, want %#v", channel.AvailableModels, wantModels)
}
if channel.DefaultModel != "gpt-5.5" {
t.Fatalf("default model = %q, want text model", channel.DefaultModel)
}
if channel.DefaultTextModel != "gpt-5.5" {
t.Fatalf("default text model = %q, want text model", channel.DefaultTextModel)
}
if channel.DefaultImageModel != "doubao-seedream-5.0-lite" {
t.Fatalf("default image model = %q, want seedream", channel.DefaultImageModel)
}
if channel.DefaultVideoModel != "doubao-seedance-2.0-fast" {
t.Fatalf("default video model = %q, want seedance", channel.DefaultVideoModel)
}
}