ecb74a2aed
后端:
- 异步生成: POST /api/v1/generate 立即返回 taskId,后台执行管线
- 任务轮询: GET /api/v1/tasks/:id + GET /api/v1/tasks/:id/assets
- 图片保存: 生成图片写入 ../generation/{projectId}/{taskId}/,静态服务
- 图片编辑: POST /api/v1/images/edit (multipart/form-data)
- JWT 中间件: mildware/auth.go 保护生成/编辑端点
- config.yml 清空敏感默认值,交由 .env 控制
- ImageGenConfig 新增 Quality 字段
前端:
- api/generate.ts: 对接真实 API (submitGenerate + poll getTask/getAssets)
- api/types.ts: 新增 GenerateResponse, AssetsResponse, Task 类型
- stores/generation.ts: 异步提交→轮询进度→获取素材→完成
- stores/task.ts: 默认分辨率 256→1024
- GenerateForm: 分辨率范围 1024-1536
- GeneratePage: 显示状态文本,完成后可查看结果/继续生成
- ResultPage: 从 store 读取,下载功能实现
344 lines
9.6 KiB
Go
Executable File
344 lines
9.6 KiB
Go
Executable File
package service
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import (
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"context"
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"net/http"
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"net/http/httptest"
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"strings"
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"testing"
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)
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func TestRunPromptAgent_Fallback(t *testing.T) {
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// 无 API key 时走模板回退路径
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output, err := RunPromptAgent(context.Background(), PromptAgentInput{
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Tags: []string{"像素", "中世纪", "战士"},
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AssetType: "sprite",
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UserNote: "持盾",
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})
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if err != nil {
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t.Fatalf("RunPromptAgent failed: %v", err)
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}
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if output.Prompt == "" {
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t.Fatal("expected non-empty prompt")
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}
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for _, section := range []string{"【主题】", "【风格】", "【技术】"} {
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if !strings.Contains(output.Prompt, section) {
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t.Errorf("output missing section %s: %s", section, output.Prompt)
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}
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}
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}
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func TestRunPromptAgent_Sprite(t *testing.T) {
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output, err := RunPromptAgent(context.Background(), PromptAgentInput{
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Tags: []string{"像素", "中世纪", "战士"},
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AssetType: "sprite",
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})
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if err != nil {
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t.Fatalf("RunPromptAgent failed: %v", err)
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}
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if !strings.Contains(output.Prompt, "spritesheet") {
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t.Errorf("sprite output should mention spritesheet: %s", output.Prompt)
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}
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}
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func TestRunPromptAgent_Background(t *testing.T) {
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output, err := RunPromptAgent(context.Background(), PromptAgentInput{
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Tags: []string{"森林", "暗黑"},
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AssetType: "background",
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})
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if err != nil {
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t.Fatalf("RunPromptAgent failed: %v", err)
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}
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if !strings.Contains(output.Prompt, "1920x1080") {
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t.Errorf("background output should mention 1920x1080: %s", output.Prompt)
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}
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}
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func TestRunPromptAgent_UI(t *testing.T) {
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output, err := RunPromptAgent(context.Background(), PromptAgentInput{
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Tags: []string{"简约", "科幻"},
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AssetType: "ui",
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})
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if err != nil {
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t.Fatalf("RunPromptAgent failed: %v", err)
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}
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if !strings.Contains(output.Prompt, "九宫格") {
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t.Errorf("ui output should mention 九宫格: %s", output.Prompt)
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}
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}
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func TestRunPromptAgent_Animation(t *testing.T) {
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output, err := RunPromptAgent(context.Background(), PromptAgentInput{
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Tags: []string{"火焰", "魔法"},
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AssetType: "animation",
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})
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if err != nil {
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t.Fatalf("RunPromptAgent failed: %v", err)
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}
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if !strings.Contains(output.Prompt, "帧") {
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t.Errorf("animation output should mention 帧: %s", output.Prompt)
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}
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}
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func TestRunPromptAgent_EmptyUserNote(t *testing.T) {
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output, err := RunPromptAgent(context.Background(), PromptAgentInput{
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Tags: []string{"水彩"},
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AssetType: "sprite",
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})
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if err != nil {
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t.Fatalf("RunPromptAgent failed: %v", err)
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}
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if output.Prompt == "" {
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t.Fatal("expected non-empty prompt")
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}
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}
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func TestRunPromptAgent_SingleTag(t *testing.T) {
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output, err := RunPromptAgent(context.Background(), PromptAgentInput{
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Tags: []string{"赛博朋克"},
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AssetType: "background",
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})
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if err != nil {
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t.Fatalf("RunPromptAgent with single tag failed: %v", err)
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}
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if output.Prompt == "" {
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t.Fatal("expected non-empty prompt")
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}
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}
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func TestRunPromptAgent_WithChatModel(t *testing.T) {
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// 启动一个 mock OpenAI 兼容 API
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server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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if r.URL.Path != "/chat/completions" {
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http.NotFound(w, r)
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return
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}
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w.Header().Set("Content-Type", "application/json")
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w.Write([]byte(`{"choices":[{"message":{"role":"assistant","content":"【主题】一个像素战士\n【风格】像素风格\n【技术】spritesheet"}}]}`))
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}))
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defer server.Close()
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// 保存原始配置,测试后恢复
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orig := llmCfg
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defer func() { llmCfg = orig }()
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llmCfg.BaseURL = server.URL
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llmCfg.APIKey = "test-key"
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llmCfg.Model = "test-model"
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llmCfg.Temperature = 0.7
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llmCfg.MaxTokens = 512
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output, err := RunPromptAgent(context.Background(), PromptAgentInput{
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Tags: []string{"像素", "战士"},
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AssetType: "sprite",
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})
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if err != nil {
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t.Fatalf("RunPromptAgent failed: %v", err)
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}
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if !strings.Contains(output.Prompt, "像素战士") {
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t.Errorf("expected LLM response in output, got: %s", output.Prompt)
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}
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if output.RawText != output.Prompt {
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t.Error("expected RawText == Prompt for non-streaming response")
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}
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}
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func TestChatCompletion_NonStream(t *testing.T) {
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server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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w.Header().Set("Content-Type", "application/json")
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w.Write([]byte(`{"choices":[{"message":{"content":"test response"}}]}`))
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}))
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defer server.Close()
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orig := llmCfg
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defer func() { llmCfg = orig }()
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llmCfg.BaseURL = server.URL
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llmCfg.APIKey = "key"
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llmCfg.Model = "m"
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llmCfg.Temperature = 0.5
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result, err := chatCompletion(context.Background(), []chatMessage{
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{Role: "user", Content: "hello"},
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})
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if err != nil {
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t.Fatalf("chatCompletion failed: %v", err)
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}
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if result != "test response" {
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t.Errorf("expected 'test response', got %q", result)
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}
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}
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func TestChatCompletion_Stream(t *testing.T) {
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server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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w.Header().Set("Content-Type", "text/event-stream")
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w.Write([]byte("data: {\"choices\":[{\"delta\":{\"content\":\"Hello\"}}]}\n\n"))
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w.Write([]byte("data: {\"choices\":[{\"delta\":{\"content\":\" World\"}}]}\n\n"))
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w.Write([]byte("data: [DONE]\n\n"))
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}))
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defer server.Close()
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orig := llmCfg
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defer func() { llmCfg = orig }()
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llmCfg.BaseURL = server.URL
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llmCfg.APIKey = "key"
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llmCfg.Model = "m"
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llmCfg.Temperature = 0.5
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result, err := chatCompletion(context.Background(), []chatMessage{
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{Role: "user", Content: "hi"},
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})
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if err != nil {
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t.Fatalf("chatCompletion stream failed: %v", err)
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}
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if result != "Hello World" {
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t.Errorf("expected 'Hello World', got %q", result)
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}
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}
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func TestCallLLMRefine_FallbackOnError(t *testing.T) {
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orig := llmCfg
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defer func() { llmCfg = orig }()
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llmCfg.BaseURL = "http://invalid-url.invalid"
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llmCfg.APIKey = "key"
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llmCfg.Model = "m"
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llmCfg.Temperature = 0.5
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// API 调用失败时应回退到模板生成
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output, err := callLLMRefine(context.Background(), "用户选择标签: 测试\n素材类型: sprite")
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if err != nil {
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t.Fatalf("fallback should not error: %v", err)
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}
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if !strings.Contains(output.Prompt, "【主题】") {
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t.Error("fallback output should contain 三段式 structure")
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}
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}
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// 单元测试
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func TestBuildMetaPrompt(t *testing.T) {
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in := PromptAgentInput{
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Tags: []string{"像素", "地牢"},
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AssetType: "sprite",
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UserNote: "需要发光效果",
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}
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result := buildMetaPrompt(in)
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checks := []string{
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"2D 游戏素材提示词工程师",
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"三段式结构",
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"用户选择标签: 像素、地牢",
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"素材类型: sprite",
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"补充说明: 需要发光效果",
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}
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for _, c := range checks {
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if !strings.Contains(result, c) {
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t.Errorf("buildMetaPrompt missing %q", c)
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}
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}
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}
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func TestBuildMetaPrompt_NoUserNote(t *testing.T) {
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in := PromptAgentInput{
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Tags: []string{"像素"},
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AssetType: "sprite",
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}
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result := buildMetaPrompt(in)
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if strings.Contains(result, "补充说明") {
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t.Error("buildMetaPrompt should not contain 补充说明 when UserNote is empty")
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}
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}
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func TestParseTagsFromMeta(t *testing.T) {
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meta := `用户选择标签: 像素、中世纪、战士
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素材类型: sprite`
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tags, assetType := parseTagsFromMeta(meta)
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if len(tags) != 3 {
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t.Fatalf("expected 3 tags, got %d: %v", len(tags), tags)
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}
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if tags[0] != "像素" || tags[1] != "中世纪" || tags[2] != "战士" {
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t.Errorf("unexpected tags: %v", tags)
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}
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if assetType != "sprite" {
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t.Errorf("expected assetType=sprite, got %s", assetType)
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}
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}
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func TestParseTagsFromMeta_SingleTag(t *testing.T) {
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meta := `用户选择标签: 赛博朋克
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素材类型: background`
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tags, _ := parseTagsFromMeta(meta)
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if len(tags) != 1 || tags[0] != "赛博朋克" {
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t.Errorf("expected [赛博朋克], got %v", tags)
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}
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}
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func TestParseTagsFromMeta_Empty(t *testing.T) {
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tags, assetType := parseTagsFromMeta("no tags here")
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if len(tags) != 0 || assetType != "" {
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t.Errorf("expected empty, got tags=%v assetType=%s", tags, assetType)
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}
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}
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func TestGenerateStructuredPrompt(t *testing.T) {
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prompt := generateStructuredPrompt([]string{"像素", "战士"}, "sprite")
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if !strings.HasPrefix(prompt, "【主题】") {
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t.Error("prompt should start with 【主题】")
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}
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themeIdx := strings.Index(prompt, "【主题】")
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styleIdx := strings.Index(prompt, "【风格】")
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techIdx := strings.Index(prompt, "【技术】")
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if !(themeIdx < styleIdx && styleIdx < techIdx) {
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t.Error("sections should be ordered: 主题 → 风格 → 技术")
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}
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}
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func TestBuildSubject(t *testing.T) {
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tags := []string{"像素", "战士"}
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tests := []struct {
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assetType, want string
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}{
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{"sprite", "精灵图"},
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{"background", "场景背景"},
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{"ui", "UI元素"},
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{"animation", "动画帧序列"},
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{"unknown", "游戏素材"},
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}
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for _, tt := range tests {
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result := buildSubject(tags, tt.assetType)
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if !strings.Contains(result, tt.want) {
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t.Errorf("buildSubject(%q) = %s, want containing %q", tt.assetType, result, tt.want)
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}
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}
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}
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func TestBuildStyle(t *testing.T) {
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result := buildStyle([]string{"像素", "暗黑"})
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if !strings.Contains(result, "色彩鲜明") {
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t.Error("style should contain default descriptions")
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}
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for _, tag := range []string{"像素", "暗黑"} {
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if !strings.Contains(result, tag+"风格") {
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t.Errorf("style missing %q", tag+"风格")
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}
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}
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}
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func TestBuildTechNotes(t *testing.T) {
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tests := []struct {
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assetType, want string
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}{
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{"sprite", "spritesheet"},
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{"background", "1920x1080"},
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{"ui", "九宫格"},
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{"animation", "4方向x4帧"},
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{"unknown", "PNG"},
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}
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for _, tt := range tests {
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result := buildTechNotes(tt.assetType)
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if !strings.Contains(result, tt.want) {
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t.Errorf("buildTechNotes(%q) = %s, want containing %q", tt.assetType, result, tt.want)
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}
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}
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}
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