fix(canvas): 媒体生成 - 修复已有图片引用和图片音频视频模型匹配

backend/internal/service/provider_test.go

@@ -950,6 +950,58 @@ func TestRunImageTaskOmitsAutomaticQualityAndSize(t *testing.T) {
 	}
 }
 
+func TestRunOpenAIImageTaskUsesMultipartEditContract(t *testing.T) {
+	t.Setenv("CANVAS_ALLOW_PRIVATE_UPSTREAMS", "true")
+	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if r.URL.Path != "/v1/images/edits" {
+			t.Errorf("path = %q, want /v1/images/edits", r.URL.Path)
+		}
+		if contentType := r.Header.Get("Content-Type"); !strings.HasPrefix(contentType, "multipart/form-data;") {
+			t.Errorf("Content-Type = %q, want multipart/form-data", contentType)
+		}
+		if err := r.ParseMultipartForm(2 << 20); err != nil {
+			t.Fatalf("ParseMultipartForm() error = %v", err)
+		}
+		if r.FormValue("model") != "gpt-image-2-high" || r.FormValue("prompt") != "make the reference clearer" || r.FormValue("n") != "1" {
+			t.Fatalf("form values = model:%q prompt:%q n:%q", r.FormValue("model"), r.FormValue("prompt"), r.FormValue("n"))
+		}
+		if r.FormValue("response_format") != "b64_json" || r.FormValue("output_format") != "png" || r.FormValue("size") != "1024x1024" {
+			t.Fatalf("format values = response_format:%q output_format:%q size:%q", r.FormValue("response_format"), r.FormValue("output_format"), r.FormValue("size"))
+		}
+		file, header, err := r.FormFile("image")
+		if err != nil {
+			t.Fatalf("FormFile(image) error = %v", err)
+		}
+		defer file.Close()
+		content, err := io.ReadAll(file)
+		if err != nil {
+			t.Fatalf("ReadAll(image) error = %v", err)
+		}
+		if header.Filename != "reference-reference.png" || string(content) != "hello" {
+			t.Fatalf("image = filename:%q content:%q", header.Filename, string(content))
+		}
+		w.Header().Set("Content-Type", "application/json")
+		_, _ = w.Write([]byte(`{"data":[{"b64_json":"aGVsbG8="}]}`))
+	}))
+	defer server.Close()
+
+	profile := DefaultImageCapabilityConfig("openai-image", "gpt-image-2-high")
+	result, err := runImageTask(context.Background(), canvasGenerationInput{
+		Mode:            "image",
+		Prompt:          "make the reference clearer",
+		Config:          providerConfig{BaseURL: server.URL, APIKey: "key", Model: "gpt-image-2-high", InterfaceType: "openai-image", Size: "1024x1024"},
+		ImageCapability: profile,
+		ReferenceImages: []providerMedia{{Name: "reference.png", Type: "image/png", DataURL: testReferenceImageDataURL}},
+	})
+	if err != nil {
+		t.Fatalf("runImageTask() error = %v", err)
+	}
+	images, _ := result["images"].([]map[string]string)
+	if len(images) != 1 || images[0]["dataUrl"] != "data:image/png;base64,aGVsbG8=" {
+		t.Fatalf("images = %#v", result["images"])
+	}
+}
+
 func TestRunGrokImageTaskUsesJSONEditContract(t *testing.T) {
 	t.Setenv("CANVAS_ALLOW_PRIVATE_UPSTREAMS", "true")
 	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {