416 lines
16 KiB
Go
416 lines
16 KiB
Go
package app
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import (
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"fmt"
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"strings"
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"testing"
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)
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func TestValidateImageTaskRejectsOversizedGrokPromptByUTF8Bytes(t *testing.T) {
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prompt := strings.Repeat("中", 4001)
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input := canvasGenerationInput{
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Mode: "image",
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Prompt: prompt,
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Config: providerConfig{InterfaceType: "grok-image", Model: "grok-imagine-image-quality"},
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}
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err := validateImageTask(DefaultImageCapabilityConfig("grok-image", "grok-imagine-image-quality"), input)
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if err == nil {
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t.Fatal("validateImageTask() error = nil")
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}
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wantBytes := fmt.Sprintf("%d UTF-8 字节", len(prompt))
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if !strings.Contains(err.Error(), wantBytes) || !strings.Contains(err.Error(), "8000") || !strings.Contains(err.Error(), "连线文本") {
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t.Fatalf("validateImageTask() error = %q", err)
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}
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}
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func TestValidateImageTaskDoesNotApplyQualityPromptLimitToGrokLite(t *testing.T) {
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prompt := strings.Repeat("中", 4001)
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input := canvasGenerationInput{
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Mode: "image",
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Prompt: prompt,
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Config: providerConfig{InterfaceType: "grok-image", Model: "grok-imagine-image"},
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}
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if err := validateImageTask(DefaultImageCapabilityConfig("grok-image", "grok-imagine-image"), input); err != nil {
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t.Fatalf("validateImageTask() error = %q", err)
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}
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}
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func TestValidateVideoTaskRejectsPromptAboveCapabilityLimit(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("autodl-comfyui", "MiniMax H3").Video
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profile.References.PromptMaxChars = 10_000
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input := canvasGenerationInput{
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Mode: "video",
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Prompt: strings.Repeat("镜", 23_142),
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Config: providerConfig{Model: "MiniMax H3", VideoSeconds: "15", Size: "16:9", VQuality: "768p横"},
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}
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err := validateVideoTask(profile, input)
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if err == nil || !strings.Contains(err.Error(), "最多 10000 个字符") || !strings.Contains(err.Error(), "23142 个字符") || !strings.Contains(err.Error(), "不会自动截断") {
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t.Fatalf("validateVideoTask() error = %v", err)
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}
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}
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// 视频提示词由输入框文本、连线内容和技能上下文合成，默认上限必须留出足够余量，
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// 否则画布工作流会连同线内容一起被拦在本地。这里锁定默认值与边界行为。
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func TestDefaultVideoPromptMaxCharsAllowsComposedCanvasPrompt(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("seedance-videos-compatible", "sd-2.5").Video
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if profile.References.PromptMaxChars != 8000 {
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t.Fatalf("视频默认提示词上限 = %d, want 8000", profile.References.PromptMaxChars)
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}
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// 画布实际合成出的提示词量级（输入框 + 连线 + 技能上下文）必须通过。
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composed := canvasGenerationInput{Mode: "video", Prompt: strings.Repeat("镜", 2399), Config: providerConfig{Model: "sd-2.5", VideoSeconds: "6", Size: "16:9", VQuality: "720p"}}
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if err := validateVideoTask(profile, composed); err != nil {
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t.Fatalf("合成提示词 2399 字符被拒绝: %v", err)
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}
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// 恰好等于上限仍然放行，与前端 `actualChars <= maxChars` 的判定保持一致。
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atLimit := composed
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atLimit.Prompt = strings.Repeat("镜", 8000)
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if err := validateVideoTask(profile, atLimit); err != nil {
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t.Fatalf("提示词 8000 字符被拒绝: %v", err)
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}
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// 超出上限必须明确失败，并保持“不自动截断”的语义。
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overLimit := composed
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overLimit.Prompt = strings.Repeat("镜", 8001)
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err := validateVideoTask(profile, overLimit)
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if err == nil || !strings.Contains(err.Error(), "最多 8000 个字符") || !strings.Contains(err.Error(), "8001 个字符") {
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t.Fatalf("validateVideoTask() error = %v", err)
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}
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}
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func TestValidateTaskCapabilityRejectsWorkflowPromptAboveConfiguredLimit(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("runninghub-workflow-video", "workflow-video")
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profile.Video.References.PromptMaxChars = 10_000
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input := map[string]any{
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"mode": "video",
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"prompt": strings.Repeat("镜", 10_001),
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"config": map[string]any{
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"interfaceType": "runninghub-workflow-video",
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"capabilityConfig": profile,
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},
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}
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err := (&Service{}).ValidateTaskCapability(input)
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if err == nil || !strings.Contains(err.Error(), "完整提示词为 10001 个字符") {
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t.Fatalf("ValidateTaskCapability() error = %v", err)
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}
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}
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func TestValidateImageTaskEnforcesGPTImage2CustomSizeLimits(t *testing.T) {
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profile := DefaultImageCapabilityConfig("openai-image", "gpt-image-2")
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profile.Size.AllowCustom = true
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valid := canvasGenerationInput{Mode: "image", Config: providerConfig{InterfaceType: "openai-image", Model: "gpt-image-2", Size: "3840x1920"}}
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if err := validateImageTask(profile, valid); err != nil {
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t.Fatalf("validateImageTask(valid) error = %v", err)
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}
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tests := map[string]string{
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"4096x2048": "最长边",
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"3840x2161": "16 的倍数",
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"3840x1024": "宽高比",
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"640x640": "总像素",
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}
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for size, want := range tests {
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t.Run(size, func(t *testing.T) {
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input := canvasGenerationInput{Mode: "image", Config: providerConfig{InterfaceType: "openai-image", Model: "gpt-image-2", Size: size}}
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err := validateImageTask(profile, input)
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if err == nil || !strings.Contains(err.Error(), want) {
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t.Fatalf("validateImageTask(%s) error = %v, want %q", size, err, want)
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}
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})
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}
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}
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func TestDefaultVideoCapabilityUsesProtocolSpecificResolutionTiers(t *testing.T) {
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tests := map[string][]string{
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"newapi-channel-2": {"480p", "720p", "1080p", "1440p", "2160p"},
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"volcengine-ark-video": {"480p", "720p", "1080p"},
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"volcengine-jimeng-video": {"720p"},
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"gemini-veo": {"720p", "1080p"},
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}
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for protocol, want := range tests {
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t.Run(protocol, func(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel(protocol, "")
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if profile == nil || profile.Video == nil {
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t.Fatalf("DefaultModelCapabilityConfigForModel(%q) video profile = nil", protocol)
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}
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if fmt.Sprint(profile.Video.Resolutions) != fmt.Sprint(want) {
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t.Fatalf("resolutions = %v, want %v", profile.Video.Resolutions, want)
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}
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})
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}
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}
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func TestDefaultMiniMaxVideoCapabilitySupportsReferenceGeneration(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("minimax-video", "MiniMax-H3")
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if profile == nil || profile.Video == nil {
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t.Fatal("MiniMax video profile = nil")
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}
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if !containsCapabilityString(profile.Video.Operations, "reference_to_video") {
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t.Fatalf("operations = %v, want reference_to_video", profile.Video.Operations)
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}
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}
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func TestAgnesVideo25CapabilityUsesOfficialLimits(t *testing.T) {
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standard := DefaultModelCapabilityConfigForModel("agnes-video", "agnes-video-2.5").Video
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if standard.Duration.Min != 4 || standard.Duration.Max != 12 || standard.Duration.Default != 5 {
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t.Fatalf("Agnes 2.5 duration = %#v", standard.Duration)
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}
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if fmt.Sprint(standard.Resolutions) != fmt.Sprint([]string{"720P", "960P", "2K"}) || standard.References.MaxVideos != 3 {
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t.Fatalf("Agnes 2.5 capability = %#v", standard)
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}
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flash := DefaultModelCapabilityConfigForModel("agnes-video", "agnes-video-2.5-flash").Video
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if fmt.Sprint(flash.Resolutions) != fmt.Sprint([]string{"720P"}) || flash.References.MaxImages != 5 || flash.References.MaxVideos != 0 {
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t.Fatalf("Agnes 2.5 Flash capability = %#v", flash)
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}
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}
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func TestNormalizeAgnesVideo25CapabilityRepairsLegacyStoredLimits(t *testing.T) {
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legacy := DefaultModelCapabilityConfigForModel("newapi", "legacy-video")
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normalized, err := NormalizeModelCapabilityConfigForModel("video", "agnes-video", "agnes-video-2.5", legacy)
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if err != nil {
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t.Fatalf("NormalizeModelCapabilityConfigForModel() error = %v", err)
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}
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if normalized.Video.Duration.Min != 4 || normalized.Video.Duration.Max != 12 || normalized.Video.Duration.Default != 5 {
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t.Fatalf("normalized duration = %#v", normalized.Video.Duration)
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}
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if fmt.Sprint(normalized.Video.Resolutions) != fmt.Sprint([]string{"720P", "960P", "2K"}) {
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t.Fatalf("normalized resolutions = %v", normalized.Video.Resolutions)
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}
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input := canvasGenerationInput{Config: providerConfig{InterfaceType: "agnes-video", Model: "agnes-video-2.5", VideoSeconds: "15", Size: "16:9", VQuality: "720P"}}
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if err := validateVideoTask(normalized.Video, input); err == nil {
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t.Fatalf("validateVideoTask(15 seconds) error = %v", err)
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}
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}
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func TestDefaultVolcengineArkVideoCapabilitySupportsFullModalReference(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("volcengine-ark-video", "doubao-seedance-2-0-260128")
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if profile == nil || profile.Video == nil {
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t.Fatal("Volcengine Ark video profile = nil")
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}
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for _, operation := range []string{"reference_to_video", "audio_to_video"} {
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if !containsCapabilityString(profile.Video.Operations, operation) {
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t.Fatalf("operations = %v, want %s", profile.Video.Operations, operation)
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}
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}
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if profile.Video.References.MaxImages != 9 || profile.Video.References.MaxVideos != 3 || profile.Video.References.MaxAudios != 3 {
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t.Fatalf("reference limits = %#v", profile.Video.References)
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}
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}
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func TestValidateVolcengineArkFullModalReferenceRejectsTextAndAudioOnly(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("volcengine-ark-video", "doubao-seedance-2-0-260128").Video
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input := canvasGenerationInput{
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Prompt: "follow the soundtrack",
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Config: providerConfig{InterfaceType: "volcengine-ark-video", VideoSeconds: "6", Size: "16:9", VQuality: "720p"},
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ReferenceAudios: []providerMedia{{URL: "https://example.com/music.mp3"}},
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Metadata: map[string]interface{}{"videoEditOperation": "audio_to_video"},
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}
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err := validateVideoTask(profile, input)
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if err == nil || !strings.Contains(err.Error(), "文本+音频") {
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t.Fatalf("validateVideoTask() error = %v", err)
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}
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input.ReferenceImages = []providerMedia{{URL: "https://example.com/subject.png"}}
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if err := validateVideoTask(profile, input); err != nil {
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t.Fatalf("validateVideoTask(full modal) error = %v", err)
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}
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}
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func TestCapabilitySpecFromModelCapabilityConfigRestoresLegacyWildcardImageSizes(t *testing.T) {
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config := &ModelCapabilityConfig{
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Version: 1,
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Image: &ImageCapabilityConfig{
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Size: ImageSizeConfig{Parameter: "size", Values: []string{"*"}, AllowCustom: true},
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},
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}
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spec, err := CapabilitySpecFromModelCapabilityConfig(config, "image")
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if err != nil {
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t.Fatalf("CapabilitySpecFromModelCapabilityConfig() error = %v", err)
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}
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constraint, ok := spec.Options["size"]
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if !ok {
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t.Fatal("size constraint is missing")
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}
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values := make(map[string]int)
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for _, value := range constraint.Values {
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values[fmt.Sprint(value)]++
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}
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for _, value := range legacyImageSizeValues() {
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if values[value] != 1 {
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t.Fatalf("size constraint missing %q: %v", value, constraint.Values)
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}
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}
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if values["*"] != 1 {
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t.Fatalf("size constraint wildcard count = %d, values = %v", values["*"], constraint.Values)
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}
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}
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func TestNormalizeResolutionSupportsCommonAliases(t *testing.T) {
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tests := map[string]string{
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"1440": "1440p",
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"1440p": "1440p",
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"2K": "1440p",
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"4K": "2160p",
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"768P": "768p",
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}
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for input, want := range tests {
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if got := normalizeResolution(input); got != want {
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t.Fatalf("normalizeResolution(%q) = %q, want %q", input, got, want)
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}
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}
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}
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func TestValidateVideoTaskIgnoresGlobalResolutionWhenCatalogDeclaresNone(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("newapi", "omni").Video
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profile.Duration = VideoDurationConfig{Selection: "enum", Values: []int{8, 10}, Default: 10}
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profile.Ratios = []string{"16:9", "9:16"}
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profile.DefaultRatio = "16:9"
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profile.Resolutions = nil
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profile.DefaultResolution = ""
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profile.References.MaxImages = 0
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profile.Operations = []string{"text_to_video"}
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profile.DefaultOperation = "text_to_video"
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err := validateVideoTask(profile, canvasGenerationInput{
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Config: providerConfig{Model: "omni", VideoSeconds: "10", Size: "16:9", VQuality: "720"},
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})
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if err != nil {
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t.Fatalf("validateVideoTask() error = %v", err)
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}
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}
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func TestNormalizeVideoCapabilityAllowsOmittedResolution(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("newapi-channel-2", "endpoint-video").Video
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profile.Resolutions = nil
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profile.DefaultResolution = ""
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result, err := NormalizeModelCapabilityConfig("video", "newapi-channel-2", &ModelCapabilityConfig{Version: 1, Video: profile})
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if err != nil {
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t.Fatalf("NormalizeModelCapabilityConfig() error = %v", err)
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}
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if result.Video == nil || len(result.Video.Resolutions) != 0 || result.Video.DefaultResolution != "" {
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t.Fatalf("normalized video resolution = %#v", result.Video)
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}
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}
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func TestNormalizeVideoCapabilityAllowsOmittedRatio(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("autodl-comfyui", "minimax_h3_lightx2v_no_pic").Video
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profile.Ratios = nil
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profile.DefaultRatio = ""
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profile.Resolutions = []string{"480p竖", "480p横"}
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profile.DefaultResolution = "480p竖"
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result, err := NormalizeModelCapabilityConfig("video", "autodl-comfyui", &ModelCapabilityConfig{Version: 1, Video: profile})
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if err != nil {
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t.Fatalf("NormalizeModelCapabilityConfig() error = %v", err)
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}
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if result.Video == nil || len(result.Video.Ratios) != 0 || result.Video.DefaultRatio != "" {
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t.Fatalf("normalized video ratios = %#v", result.Video)
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}
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if err := validateVideoTask(result.Video, canvasGenerationInput{Config: providerConfig{Model: "minimax_h3_lightx2v_no_pic", VideoSeconds: "6", VQuality: "480p竖"}}); err != nil {
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t.Fatalf("validateVideoTask() error = %v", err)
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}
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}
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func TestCapabilitySpecFromModelCapabilityConfigProjectsImageSizePresets(t *testing.T) {
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config := &ModelCapabilityConfig{
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Version: 1,
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Image: &ImageCapabilityConfig{
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References: ImageReferenceConfig{MaxImages: 4},
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Size: ImageSizeConfig{
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Parameter: "aspect_ratio",
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Values: []string{"16:9"},
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Default: "16:9",
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Presets: []ImageSizePreset{
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{Tier: "4k", Ratio: "16:9", Size: "3840x2160", Width: 3840, Height: 2160},
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},
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},
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Quality: ImageQualityConfig{Supported: false, Default: "auto"},
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MaxOutputs: 1,
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},
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}
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spec, err := CapabilitySpecFromModelCapabilityConfig(config, "image")
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if err != nil {
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t.Fatal(err)
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}
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if spec.Options["quality"].Values != nil {
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t.Fatalf("quality must stay undeclared when unsupported: %#v", spec.Options["quality"])
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}
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if spec.ImageSize == nil || spec.ImageSize.Parameter != "aspect_ratio" || len(spec.ImageSize.Presets) != 1 || spec.ImageSize.Presets[0].Tier != "4k" {
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t.Fatalf("imageSize presets = %#v", spec.ImageSize)
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}
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}
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func TestCapabilitySpecFromModelCapabilityConfigProjectsImageSizeOnce(t *testing.T) {
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config := &ModelCapabilityConfig{
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Version: 1,
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Image: &ImageCapabilityConfig{
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References: ImageReferenceConfig{MaxImages: 3, MaskSupported: false},
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Size: ImageSizeConfig{Parameter: "size", Values: []string{"1:1", "16:9"}, AllowCustom: true},
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MaxOutputs: 4,
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},
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}
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spec, err := CapabilitySpecFromModelCapabilityConfig(config, "image")
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if err != nil {
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t.Fatalf("CapabilitySpecFromModelCapabilityConfig() error = %v", err)
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}
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if got := spec.Options["size"].Values; len(got) != 3 || got[0] != "1:1" || got[1] != "16:9" || got[2] != "*" {
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t.Fatalf("size projection = %#v, want configured values plus wildcard", got)
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}
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if got := spec.Inputs["image"].Max; got != 3 {
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t.Fatalf("image input max = %d, want 3", got)
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}
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if got := spec.Options["count"].Max; got == nil || *got != 4 {
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t.Fatalf("count max = %v, want 4", got)
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}
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}
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func TestCapabilitySpecFromModelCapabilityConfigProjectsCustomImageSizeAsWildcard(t *testing.T) {
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config := &ModelCapabilityConfig{
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Version: 1,
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Image: &ImageCapabilityConfig{
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Size: ImageSizeConfig{Parameter: "size", Values: []string{"1:1"}, AllowCustom: true},
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MaxOutputs: 1,
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},
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}
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spec, err := CapabilitySpecFromModelCapabilityConfig(config, "image")
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if err != nil {
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t.Fatalf("CapabilitySpecFromModelCapabilityConfig() error = %v", err)
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}
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if got := spec.Options["size"].Values; len(got) != 2 || got[0] != "1:1" || got[1] != "*" {
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t.Fatalf("custom size projection = %#v, want configured value plus wildcard", got)
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}
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}
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func TestCapabilitySpecFromModelCapabilityConfigAllowsAudioWithoutConfig(t *testing.T) {
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spec, err := CapabilitySpecFromModelCapabilityConfig(nil, "audio")
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if err != nil {
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t.Fatalf("audio projection error = %v", err)
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}
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if spec.Capability != "audio" || len(spec.Inputs) != 0 || len(spec.Options) != 0 {
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t.Fatalf("audio projection = %#v", spec)
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}
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}
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func TestValidateVideoTaskRequiresDeclaredMinimumImages(t *testing.T) {
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profile := DefaultModelCapabilityConfigForModel("newapi-channel-2", "image-required-video").Video
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profile.References.MinImages = 1
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profile.References.MaxImages = 2
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profile.Operations = []string{"image_to_video"}
|
|
profile.DefaultOperation = "image_to_video"
|
|
|
|
err := validateVideoTask(profile, canvasGenerationInput{
|
|
Config: providerConfig{Model: "image-required-video", VideoSeconds: "6", Size: "16:9", VQuality: "720"},
|
|
})
|
|
if err == nil || !strings.Contains(err.Error(), "至少需要 1 张参考图") {
|
|
t.Fatalf("validateVideoTask() error = %v", err)
|
|
}
|
|
}
|