lanyuanxiaoyao
d92db73937
## 高优先级修复 - stats_service_impl: 使用 strings.SplitN 替代错误的索引分割 - provider_handler: 使用 errors.Is(err, gorm.ErrDuplicatedKey) 替代字符串匹配 - client: 重写 isNetworkError 使用 errors.As/Is 类型安全判断 - proxy_handler: 使用 encoding/json 标准库解析 JSON（extractModelName、isStreamRequest） ## 中优先级修复 - stats_handler: 添加 parseDateParam 辅助函数消除重复日期解析 - pkg/errors: 新增 ErrRequestCreate/Send/ResponseRead 错误类型和 WithCause 方法 - client: 使用结构化错误替代 fmt.Errorf - ConversionEngine: logger 依赖注入，替换所有 zap.L() 调用 ## 低优先级修复 - encoder: 删除 joinStrings，使用 strings.Join - adapter: 删除 modelInfoRegex 正则，使用 isModelInfoPath 字符串函数 ## 文档更新 - README.md: 添加公共库使用指南和编码规范章节 - specs: 同步 delta specs 到 main specs（error-handling、structured-logging、request-validation） ## 归档 - openspec/changes/archive/2026-04-20-refactor-backend-code-quality/
572 lines
18 KiB
Go
572 lines
18 KiB
Go
package integration
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import (
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"bytes"
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"encoding/json"
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"fmt"
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"io"
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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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"time"
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"github.com/gin-gonic/gin"
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/require"
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"gorm.io/driver/sqlite"
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"gorm.io/gorm"
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"nex/backend/internal/config"
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"nex/backend/internal/conversion"
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"nex/backend/internal/conversion/anthropic"
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openaiConv "nex/backend/internal/conversion/openai"
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"nex/backend/internal/handler"
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"nex/backend/internal/handler/middleware"
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"nex/backend/internal/provider"
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"nex/backend/internal/repository"
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"nex/backend/internal/service"
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)
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func init() {
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gin.SetMode(gin.TestMode)
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}
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// setupConversionTest 创建包含 ConversionEngine 的完整测试环境
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func setupConversionTest(t *testing.T) (*gin.Engine, *gorm.DB, *httptest.Server) {
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t.Helper()
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// 创建 mock 上游服务器
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upstream := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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// 默认返回成功，由各测试 case 覆盖
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w.WriteHeader(http.StatusOK)
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w.Write([]byte(`{"error":"not mocked"}`))
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}))
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dir := t.TempDir()
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db, err := gorm.Open(sqlite.Open(dir+"/test.db"), &gorm.Config{})
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require.NoError(t, err)
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err = db.AutoMigrate(&config.Provider{}, &config.Model{}, &config.UsageStats{})
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require.NoError(t, err)
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t.Cleanup(func() {
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sqlDB, _ := db.DB()
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if sqlDB != nil {
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sqlDB.Close()
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}
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upstream.Close()
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})
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providerRepo := repository.NewProviderRepository(db)
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modelRepo := repository.NewModelRepository(db)
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statsRepo := repository.NewStatsRepository(db)
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providerService := service.NewProviderService(providerRepo)
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modelService := service.NewModelService(modelRepo, providerRepo)
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routingService := service.NewRoutingService(modelRepo, providerRepo)
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statsService := service.NewStatsService(statsRepo)
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// 创建 ConversionEngine
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registry := conversion.NewMemoryRegistry()
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require.NoError(t, registry.Register(openaiConv.NewAdapter()))
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require.NoError(t, registry.Register(anthropic.NewAdapter()))
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engine := conversion.NewConversionEngine(registry, nil)
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providerClient := provider.NewClient()
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proxyHandler := handler.NewProxyHandler(engine, providerClient, routingService, providerService, statsService)
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providerHandler := handler.NewProviderHandler(providerService)
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modelHandler := handler.NewModelHandler(modelService)
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statsHandler := handler.NewStatsHandler(statsService)
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_ = modelService
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r := gin.New()
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r.Use(middleware.CORS())
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// 代理路由
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r.Any("/:protocol/v1/*path", proxyHandler.HandleProxy)
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// 管理路由
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providers := r.Group("/api/providers")
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{
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providers.GET("", providerHandler.ListProviders)
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providers.POST("", providerHandler.CreateProvider)
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providers.GET("/:id", providerHandler.GetProvider)
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providers.PUT("/:id", providerHandler.UpdateProvider)
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providers.DELETE("/:id", providerHandler.DeleteProvider)
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}
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models := r.Group("/api/models")
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{
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models.GET("", modelHandler.ListModels)
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models.POST("", modelHandler.CreateModel)
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models.GET("/:id", modelHandler.GetModel)
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models.PUT("/:id", modelHandler.UpdateModel)
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models.DELETE("/:id", modelHandler.DeleteModel)
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}
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_ = statsHandler
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return r, db, upstream
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}
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// createProviderAndModel 辅助：创建供应商和模型
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func createProviderAndModel(t *testing.T, r *gin.Engine, providerID, protocol, modelName string, upstreamURL string) {
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t.Helper()
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providerBody, _ := json.Marshal(map[string]string{
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"id": providerID,
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"name": providerID,
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"api_key": "test-key",
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"base_url": upstreamURL,
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"protocol": protocol,
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})
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w := httptest.NewRecorder()
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req := httptest.NewRequest("POST", "/api/providers", bytes.NewReader(providerBody))
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req.Header.Set("Content-Type", "application/json")
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r.ServeHTTP(w, req)
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require.Equal(t, 201, w.Code)
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modelBody, _ := json.Marshal(map[string]string{
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"id": modelName,
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"provider_id": providerID,
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"model_name": modelName,
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})
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w = httptest.NewRecorder()
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req = httptest.NewRequest("POST", "/api/models", bytes.NewReader(modelBody))
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req.Header.Set("Content-Type", "application/json")
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r.ServeHTTP(w, req)
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require.Equal(t, 201, w.Code)
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}
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// ============ 跨协议非流式转换测试 ============
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func TestConversion_OpenAIToAnthropic_NonStream(t *testing.T) {
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r, _, upstream := setupConversionTest(t)
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// 配置上游返回 Anthropic 格式响应
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upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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// 验证请求被转换为 Anthropic 格式
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body, _ := io.ReadAll(r.Body)
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var req map[string]any
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json.Unmarshal(body, &req)
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assert.Equal(t, "/v1/messages", r.URL.Path)
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assert.Contains(t, r.Header.Get("Content-Type"), "application/json")
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// 返回 Anthropic 响应
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resp := map[string]any{
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"id": "msg_test",
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"type": "message",
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"role": "assistant",
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"model": "claude-3-opus",
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"content": []map[string]any{
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{"type": "text", "text": "Hello from Anthropic!"},
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},
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"stop_reason": "end_turn",
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"usage": map[string]any{
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"input_tokens": 10,
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"output_tokens": 20,
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},
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}
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w.Header().Set("Content-Type", "application/json")
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json.NewEncoder(w).Encode(resp)
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})
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createProviderAndModel(t, r, "anthropic-p", "anthropic", "claude-3-opus", upstream.URL)
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// 使用 OpenAI 格式发送请求
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openaiReq := map[string]any{
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"model": "claude-3-opus",
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"messages": []map[string]any{
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{"role": "user", "content": "Hello"},
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},
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"stream": false,
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}
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body, _ := json.Marshal(openaiReq)
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w := httptest.NewRecorder()
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req := httptest.NewRequest("POST", "/openai/v1/chat/completions", bytes.NewReader(body))
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req.Header.Set("Content-Type", "application/json")
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r.ServeHTTP(w, req)
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assert.Equal(t, 200, w.Code)
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var resp map[string]any
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json.Unmarshal(w.Body.Bytes(), &resp)
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assert.Equal(t, "chat.completion", resp["object"])
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choices := resp["choices"].([]any)
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require.Len(t, choices, 1)
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choice := choices[0].(map[string]any)
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msg := choice["message"].(map[string]any)
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assert.Contains(t, msg["content"], "Hello from Anthropic!")
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}
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func TestConversion_AnthropicToOpenAI_NonStream(t *testing.T) {
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r, _, upstream := setupConversionTest(t)
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upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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body, _ := io.ReadAll(r.Body)
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var req map[string]any
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json.Unmarshal(body, &req)
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assert.Equal(t, "/v1/chat/completions", r.URL.Path)
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assert.Contains(t, r.Header.Get("Authorization"), "Bearer test-key")
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resp := map[string]any{
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"id": "chatcmpl-test",
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"object": "chat.completion",
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"model": "gpt-4",
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"created": time.Now().Unix(),
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"choices": []map[string]any{
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{
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"index": 0,
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"message": map[string]any{"role": "assistant", "content": "Hello from OpenAI!"},
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"finish_reason": "stop",
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},
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},
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"usage": map[string]any{
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"prompt_tokens": 10,
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"completion_tokens": 20,
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"total_tokens": 30,
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},
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}
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w.Header().Set("Content-Type", "application/json")
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json.NewEncoder(w).Encode(resp)
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})
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createProviderAndModel(t, r, "openai-p", "openai", "gpt-4", upstream.URL)
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anthropicReq := map[string]any{
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"model": "gpt-4",
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"max_tokens": 1024,
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"messages": []map[string]any{
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{"role": "user", "content": "Hello"},
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},
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"stream": false,
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}
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body, _ := json.Marshal(anthropicReq)
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w := httptest.NewRecorder()
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req := httptest.NewRequest("POST", "/anthropic/v1/messages", bytes.NewReader(body))
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req.Header.Set("Content-Type", "application/json")
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r.ServeHTTP(w, req)
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assert.Equal(t, 200, w.Code)
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var resp map[string]any
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json.Unmarshal(w.Body.Bytes(), &resp)
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assert.Equal(t, "message", resp["type"])
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content := resp["content"].([]any)
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require.Len(t, content, 1)
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block := content[0].(map[string]any)
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assert.Contains(t, block["text"], "Hello from OpenAI!")
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}
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// ============ 同协议透传测试 ============
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func TestConversion_OpenAIToOpenAI_Passthrough(t *testing.T) {
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r, _, upstream := setupConversionTest(t)
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upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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assert.Equal(t, "/v1/chat/completions", r.URL.Path)
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body, _ := io.ReadAll(r.Body)
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var req map[string]any
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json.Unmarshal(body, &req)
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assert.Equal(t, "gpt-4", req["model"])
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w.Header().Set("Content-Type", "application/json")
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w.Write([]byte(`{"id":"chatcmpl-pass","object":"chat.completion","model":"gpt-4","choices":[{"index":0,"message":{"role":"assistant","content":"passthrough"},"finish_reason":"stop"}],"usage":{"prompt_tokens":5,"completion_tokens":1,"total_tokens":6}}`))
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})
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createProviderAndModel(t, r, "openai-p", "openai", "gpt-4", upstream.URL)
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reqBody := map[string]any{
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"model": "gpt-4",
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"messages": []map[string]any{{"role": "user", "content": "test"}},
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}
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body, _ := json.Marshal(reqBody)
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w := httptest.NewRecorder()
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req := httptest.NewRequest("POST", "/openai/v1/chat/completions", bytes.NewReader(body))
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req.Header.Set("Content-Type", "application/json")
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r.ServeHTTP(w, req)
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assert.Equal(t, 200, w.Code)
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assert.Contains(t, w.Body.String(), "passthrough")
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}
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func TestConversion_AnthropicToAnthropic_Passthrough(t *testing.T) {
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r, _, upstream := setupConversionTest(t)
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upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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assert.Equal(t, "/v1/messages", r.URL.Path)
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w.Header().Set("Content-Type", "application/json")
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w.Write([]byte(`{"id":"msg-pass","type":"message","role":"assistant","model":"claude-3-opus","content":[{"type":"text","text":"passthrough"}],"stop_reason":"end_turn","usage":{"input_tokens":5,"output_tokens":1}}`))
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})
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createProviderAndModel(t, r, "anthropic-p", "anthropic", "claude-3-opus", upstream.URL)
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reqBody := map[string]any{
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"model": "claude-3-opus",
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"max_tokens": 1024,
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"messages": []map[string]any{{"role": "user", "content": "test"}},
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}
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body, _ := json.Marshal(reqBody)
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w := httptest.NewRecorder()
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req := httptest.NewRequest("POST", "/anthropic/v1/messages", bytes.NewReader(body))
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req.Header.Set("Content-Type", "application/json")
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r.ServeHTTP(w, req)
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assert.Equal(t, 200, w.Code)
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assert.Contains(t, w.Body.String(), "passthrough")
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}
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// ============ 流式转换测试 ============
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func TestConversion_OpenAIToAnthropic_Stream(t *testing.T) {
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r, _, upstream := setupConversionTest(t)
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upstream.Config.Handler = 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.WriteHeader(http.StatusOK)
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events := []string{
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"event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_stream\",\"model\":\"claude-3-opus\",\"usage\":{\"input_tokens\":10,\"output_tokens\":0}}}\n\n",
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"event: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\n",
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"event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hi\"}}\n\n",
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"event: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\n",
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"event: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"output_tokens\":5}}\n\n",
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"event: message_stop\ndata: {\"type\":\"message_stop\"}\n\n",
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}
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for _, e := range events {
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w.Write([]byte(e))
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if f, ok := w.(http.Flusher); ok {
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f.Flush()
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}
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}
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})
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createProviderAndModel(t, r, "anthropic-p", "anthropic", "claude-3-opus", upstream.URL)
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openaiReq := map[string]any{
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"model": "claude-3-opus",
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"messages": []map[string]any{{"role": "user", "content": "Hello"}},
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"stream": true,
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}
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body, _ := json.Marshal(openaiReq)
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w := httptest.NewRecorder()
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req := httptest.NewRequest("POST", "/openai/v1/chat/completions", bytes.NewReader(body))
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req.Header.Set("Content-Type", "application/json")
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r.ServeHTTP(w, req)
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assert.Equal(t, 200, w.Code)
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ct := w.Header().Get("Content-Type")
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assert.Contains(t, ct, "text/event-stream")
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}
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func TestConversion_AnthropicToOpenAI_Stream(t *testing.T) {
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r, _, upstream := setupConversionTest(t)
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upstream.Config.Handler = 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.WriteHeader(http.StatusOK)
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events := []string{
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fmt.Sprintf("data: {\"id\":\"chatcmpl-s\",\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\"}}]}\n\n"),
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"data: {\"id\":\"chatcmpl-s\",\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"Hey\"}}]}\n\n",
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"data: {\"id\":\"chatcmpl-s\",\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"!\"}}]}\n\n",
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"data: {\"id\":\"chatcmpl-s\",\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4\",\"choices\":[{\"index\":0,\"delta\":{},\"finish_reason\":\"stop\"}]}\n\n",
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"data: [DONE]\n\n",
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}
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for _, e := range events {
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w.Write([]byte(e))
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if f, ok := w.(http.Flusher); ok {
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f.Flush()
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}
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}
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})
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createProviderAndModel(t, r, "openai-p", "openai", "gpt-4", upstream.URL)
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anthropicReq := map[string]any{
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"model": "gpt-4",
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"max_tokens": 1024,
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"messages": []map[string]any{{"role": "user", "content": "Hello"}},
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"stream": true,
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}
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body, _ := json.Marshal(anthropicReq)
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w := httptest.NewRecorder()
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req := httptest.NewRequest("POST", "/anthropic/v1/messages", bytes.NewReader(body))
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req.Header.Set("Content-Type", "application/json")
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r.ServeHTTP(w, req)
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assert.Equal(t, 200, w.Code)
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ct := w.Header().Get("Content-Type")
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assert.Contains(t, ct, "text/event-stream")
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}
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// ============ Models 接口测试 ============
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func TestConversion_Models_CrossProtocol(t *testing.T) {
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// 测试 Models 接口跨协议转换的编解码逻辑
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// 由于 GET /models 无 body 无法路由，此处测试 adapter 级别的编解码
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registry := conversion.NewMemoryRegistry()
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require.NoError(t, registry.Register(openaiConv.NewAdapter()))
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require.NoError(t, registry.Register(anthropic.NewAdapter()))
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openaiAdapter, _ := registry.Get("openai")
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anthropicAdapter, _ := registry.Get("anthropic")
|
||
|
||
// 模拟 OpenAI 格式的 models 响应
|
||
openaiModelsBody := []byte(`{"object":"list","data":[{"id":"gpt-4","object":"model","created":1700000000,"owned_by":"openai"},{"id":"gpt-3.5-turbo","object":"model","created":1700000001,"owned_by":"openai"}]}`)
|
||
|
||
// OpenAI decode → Canonical → Anthropic encode
|
||
modelList, err := openaiAdapter.DecodeModelsResponse(openaiModelsBody)
|
||
require.NoError(t, err)
|
||
assert.Len(t, modelList.Models, 2)
|
||
assert.Equal(t, "gpt-4", modelList.Models[0].ID)
|
||
|
||
// 编码为 Anthropic 格式
|
||
anthropicBody, err := anthropicAdapter.EncodeModelsResponse(modelList)
|
||
require.NoError(t, err)
|
||
|
||
var anthropicResp map[string]any
|
||
json.Unmarshal(anthropicBody, &anthropicResp)
|
||
data := anthropicResp["data"].([]any)
|
||
assert.Len(t, data, 2)
|
||
|
||
first := data[0].(map[string]any)
|
||
assert.Equal(t, "gpt-4", first["id"])
|
||
assert.Equal(t, "model", first["type"])
|
||
|
||
// 反向测试：Anthropic decode → Canonical → OpenAI encode
|
||
anthropicModelsBody := []byte(`{"data":[{"id":"claude-3-opus","type":"model","display_name":"Claude 3 Opus","created_at":"2025-01-01T00:00:00Z"}],"has_more":false}`)
|
||
modelList2, err := anthropicAdapter.DecodeModelsResponse(anthropicModelsBody)
|
||
require.NoError(t, err)
|
||
assert.Len(t, modelList2.Models, 1)
|
||
assert.Equal(t, "Claude 3 Opus", modelList2.Models[0].Name)
|
||
|
||
openaiBody, err := openaiAdapter.EncodeModelsResponse(modelList2)
|
||
require.NoError(t, err)
|
||
|
||
var openaiResp map[string]any
|
||
json.Unmarshal(openaiBody, &err)
|
||
json.Unmarshal(openaiBody, &openaiResp)
|
||
oaiData := openaiResp["data"].([]any)
|
||
assert.Len(t, oaiData, 1)
|
||
firstOai := oaiData[0].(map[string]any)
|
||
assert.Equal(t, "claude-3-opus", firstOai["id"])
|
||
}
|
||
|
||
// ============ 错误响应测试 ============
|
||
|
||
func TestConversion_ErrorResponse_Format(t *testing.T) {
|
||
r, _, _ := setupConversionTest(t)
|
||
|
||
// 请求不存在的模型
|
||
reqBody := map[string]any{
|
||
"model": "nonexistent",
|
||
"messages": []map[string]any{{"role": "user", "content": "test"}},
|
||
}
|
||
body, _ := json.Marshal(reqBody)
|
||
|
||
// OpenAI 协议格式
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/openai/v1/chat/completions", bytes.NewReader(body))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
assert.True(t, w.Code >= 400)
|
||
}
|
||
|
||
// ============ 旧路由返回 404 ============
|
||
|
||
func TestConversion_OldRoutes_Return404(t *testing.T) {
|
||
r, _, _ := setupConversionTest(t)
|
||
|
||
// 旧 OpenAI 路由
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/v1/chat/completions", strings.NewReader(`{"model":"test"}`))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
// Gin 路由不匹配返回 404
|
||
assert.Equal(t, 404, w.Code)
|
||
|
||
// 旧 Anthropic 路由
|
||
w = httptest.NewRecorder()
|
||
req = httptest.NewRequest("POST", "/v1/messages", strings.NewReader(`{"model":"test"}`))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
assert.Equal(t, 404, w.Code)
|
||
}
|
||
|
||
// ============ Provider Protocol 字段测试 ============
|
||
|
||
func TestConversion_ProviderWithProtocol(t *testing.T) {
|
||
r, _, _ := setupConversionTest(t)
|
||
|
||
// 创建带 protocol 字段的 provider
|
||
providerBody := map[string]any{
|
||
"id": "test-protocol",
|
||
"name": "Test Protocol",
|
||
"api_key": "sk-test",
|
||
"base_url": "https://test.com",
|
||
"protocol": "anthropic",
|
||
}
|
||
body, _ := json.Marshal(providerBody)
|
||
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/api/providers", bytes.NewReader(body))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
require.Equal(t, 201, w.Code)
|
||
|
||
var created map[string]any
|
||
json.Unmarshal(w.Body.Bytes(), &created)
|
||
// API Key 被掩码
|
||
assert.Contains(t, created["api_key"], "***")
|
||
|
||
// 获取时应包含 protocol
|
||
w = httptest.NewRecorder()
|
||
req = httptest.NewRequest("GET", "/api/providers/test-protocol", nil)
|
||
r.ServeHTTP(w, req)
|
||
assert.Equal(t, 200, w.Code)
|
||
|
||
var fetched map[string]any
|
||
json.Unmarshal(w.Body.Bytes(), &fetched)
|
||
assert.Equal(t, "anthropic", fetched["protocol"])
|
||
}
|
||
|
||
func TestConversion_ProviderDefaultProtocol(t *testing.T) {
|
||
r, _, _ := setupConversionTest(t)
|
||
|
||
// 不指定 protocol，默认应为 openai
|
||
providerBody := map[string]any{
|
||
"id": "default-proto",
|
||
"name": "Default",
|
||
"api_key": "sk-test",
|
||
"base_url": "https://test.com",
|
||
}
|
||
body, _ := json.Marshal(providerBody)
|
||
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/api/providers", bytes.NewReader(body))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
require.Equal(t, 201, w.Code)
|
||
|
||
var created map[string]any
|
||
json.Unmarshal(w.Body.Bytes(), &created)
|
||
assert.Equal(t, "openai", created["protocol"])
|
||
}
|
||
|
||
// Suppress unused imports
|
||
var _ = fmt.Sprintf
|
||
var _ = strings.Contains
|
||
var _ = time.Second
|