lanyuanxiaoyao
b7e205f4b6
## 主要变更 **核心修改**： - 路由定义：/:protocol/v1/*path → /:protocol/*path - proxy_handler：nativePath 直接使用 path 参数，不添加 /v1 前缀 - OpenAI 适配器：DetectInterfaceType 和 BuildUrl 去掉 /v1 前缀 - Anthropic 适配器：保持 /v1 前缀（Claude Code 兼容） **URL 格式变化**： - OpenAI: /openai/v1/chat/completions → /openai/chat/completions - Anthropic: /anthropic/v1/messages (保持不变) **base_url 配置**： - OpenAI: 配置到版本路径，如 https://api.openai.com/v1 - Anthropic: 不配置版本路径，如 https://api.anthropic.com ## 测试验证 - 所有单元测试通过 - 所有集成测试通过 - 真实 API 测试验证成功 - 跨协议转换正常工作 ## 文档更新 - 更新 backend/README.md URL 格式说明 - 同步 OpenSpec 规范文件
577 lines
19 KiB
Go
577 lines
19 KiB
Go
package integration
|
||
|
||
import (
|
||
"bytes"
|
||
"encoding/json"
|
||
"fmt"
|
||
"io"
|
||
"net/http"
|
||
"net/http/httptest"
|
||
"strings"
|
||
"testing"
|
||
"time"
|
||
|
||
"github.com/gin-gonic/gin"
|
||
"github.com/stretchr/testify/assert"
|
||
"github.com/stretchr/testify/require"
|
||
"gorm.io/gorm"
|
||
|
||
"nex/backend/internal/conversion"
|
||
"nex/backend/internal/conversion/anthropic"
|
||
openaiConv "nex/backend/internal/conversion/openai"
|
||
"nex/backend/internal/handler"
|
||
"nex/backend/internal/handler/middleware"
|
||
"nex/backend/internal/provider"
|
||
"nex/backend/internal/repository"
|
||
"nex/backend/internal/service"
|
||
)
|
||
|
||
func init() {
|
||
gin.SetMode(gin.TestMode)
|
||
}
|
||
|
||
// setupConversionTest 创建包含 ConversionEngine 的完整测试环境
|
||
func setupConversionTest(t *testing.T) (*gin.Engine, *gorm.DB, *httptest.Server) {
|
||
t.Helper()
|
||
|
||
// 创建 mock 上游服务器
|
||
upstream := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||
// 默认返回成功，由各测试 case 覆盖
|
||
w.WriteHeader(http.StatusOK)
|
||
w.Write([]byte(`{"error":"not mocked"}`))
|
||
}))
|
||
|
||
db := setupTestDB(t)
|
||
t.Cleanup(func() {
|
||
sqlDB, _ := db.DB()
|
||
if sqlDB != nil {
|
||
sqlDB.Close()
|
||
}
|
||
upstream.Close()
|
||
})
|
||
|
||
providerRepo := repository.NewProviderRepository(db)
|
||
modelRepo := repository.NewModelRepository(db)
|
||
statsRepo := repository.NewStatsRepository(db)
|
||
|
||
providerService := service.NewProviderService(providerRepo, modelRepo)
|
||
modelService := service.NewModelService(modelRepo, providerRepo)
|
||
routingService := service.NewRoutingService(modelRepo, providerRepo)
|
||
statsService := service.NewStatsService(statsRepo)
|
||
|
||
// 创建 ConversionEngine
|
||
registry := conversion.NewMemoryRegistry()
|
||
require.NoError(t, registry.Register(openaiConv.NewAdapter()))
|
||
require.NoError(t, registry.Register(anthropic.NewAdapter()))
|
||
engine := conversion.NewConversionEngine(registry, nil)
|
||
|
||
providerClient := provider.NewClient()
|
||
proxyHandler := handler.NewProxyHandler(engine, providerClient, routingService, providerService, statsService)
|
||
providerHandler := handler.NewProviderHandler(providerService)
|
||
modelHandler := handler.NewModelHandler(modelService)
|
||
statsHandler := handler.NewStatsHandler(statsService)
|
||
|
||
_ = modelService
|
||
|
||
r := gin.New()
|
||
r.Use(middleware.CORS())
|
||
|
||
// 代理路由
|
||
r.Any("/:protocol/*path", proxyHandler.HandleProxy)
|
||
|
||
// 管理路由
|
||
providers := r.Group("/api/providers")
|
||
{
|
||
providers.GET("", providerHandler.ListProviders)
|
||
providers.POST("", providerHandler.CreateProvider)
|
||
providers.GET("/:id", providerHandler.GetProvider)
|
||
providers.PUT("/:id", providerHandler.UpdateProvider)
|
||
providers.DELETE("/:id", providerHandler.DeleteProvider)
|
||
}
|
||
models := r.Group("/api/models")
|
||
{
|
||
models.GET("", modelHandler.ListModels)
|
||
models.POST("", modelHandler.CreateModel)
|
||
models.GET("/:id", modelHandler.GetModel)
|
||
models.PUT("/:id", modelHandler.UpdateModel)
|
||
models.DELETE("/:id", modelHandler.DeleteModel)
|
||
}
|
||
_ = statsHandler
|
||
|
||
return r, db, upstream
|
||
}
|
||
|
||
// createProviderAndModel 辅助：创建供应商和模型
|
||
func createProviderAndModel(t *testing.T, r *gin.Engine, providerID, protocol, modelName string, upstreamURL string) {
|
||
t.Helper()
|
||
|
||
providerBody, _ := json.Marshal(map[string]string{
|
||
"id": providerID,
|
||
"name": providerID,
|
||
"api_key": "test-key",
|
||
"base_url": upstreamURL,
|
||
"protocol": protocol,
|
||
})
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/api/providers", bytes.NewReader(providerBody))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
require.Equal(t, 201, w.Code)
|
||
|
||
modelBody, _ := json.Marshal(map[string]string{
|
||
|
||
"provider_id": providerID,
|
||
"model_name": modelName,
|
||
})
|
||
w = httptest.NewRecorder()
|
||
req = httptest.NewRequest("POST", "/api/models", bytes.NewReader(modelBody))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
require.Equal(t, 201, w.Code)
|
||
}
|
||
|
||
// ============ 跨协议非流式转换测试 ============
|
||
|
||
func TestConversion_OpenAIToAnthropic_NonStream(t *testing.T) {
|
||
r, _, upstream := setupConversionTest(t)
|
||
|
||
// 配置上游返回 Anthropic 格式响应
|
||
upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||
// 验证请求被转换为 Anthropic 格式
|
||
body, _ := io.ReadAll(r.Body)
|
||
var req map[string]any
|
||
json.Unmarshal(body, &req)
|
||
|
||
assert.Equal(t, "/v1/messages", r.URL.Path)
|
||
assert.Contains(t, r.Header.Get("Content-Type"), "application/json")
|
||
|
||
// 返回 Anthropic 响应
|
||
resp := map[string]any{
|
||
"id": "msg_test",
|
||
"type": "message",
|
||
"role": "assistant",
|
||
"model": "anthropic_p/claude-3-opus",
|
||
"content": []map[string]any{
|
||
{"type": "text", "text": "Hello from Anthropic!"},
|
||
},
|
||
"stop_reason": "end_turn",
|
||
"usage": map[string]any{
|
||
"input_tokens": 10,
|
||
"output_tokens": 20,
|
||
},
|
||
}
|
||
w.Header().Set("Content-Type", "application/json")
|
||
json.NewEncoder(w).Encode(resp)
|
||
})
|
||
|
||
createProviderAndModel(t, r, "anthropic_p", "anthropic", "claude-3-opus", upstream.URL)
|
||
|
||
// 使用 OpenAI 格式发送请求
|
||
openaiReq := map[string]any{
|
||
"model": "anthropic_p/claude-3-opus",
|
||
"messages": []map[string]any{
|
||
{"role": "user", "content": "Hello"},
|
||
},
|
||
"stream": false,
|
||
}
|
||
body, _ := json.Marshal(openaiReq)
|
||
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/openai/chat/completions", bytes.NewReader(body))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
|
||
assert.Equal(t, 200, w.Code)
|
||
|
||
var resp map[string]any
|
||
json.Unmarshal(w.Body.Bytes(), &resp)
|
||
assert.Equal(t, "chat.completion", resp["object"])
|
||
|
||
choices := resp["choices"].([]any)
|
||
require.Len(t, choices, 1)
|
||
choice := choices[0].(map[string]any)
|
||
msg := choice["message"].(map[string]any)
|
||
assert.Contains(t, msg["content"], "Hello from Anthropic!")
|
||
}
|
||
|
||
func TestConversion_AnthropicToOpenAI_NonStream(t *testing.T) {
|
||
r, _, upstream := setupConversionTest(t)
|
||
|
||
upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||
body, _ := io.ReadAll(r.Body)
|
||
var req map[string]any
|
||
json.Unmarshal(body, &req)
|
||
|
||
assert.Equal(t, "/chat/completions", r.URL.Path)
|
||
assert.Contains(t, r.Header.Get("Authorization"), "Bearer test-key")
|
||
|
||
resp := map[string]any{
|
||
"id": "chatcmpl-test",
|
||
"object": "chat.completion",
|
||
"model": "gpt-4",
|
||
"created": time.Now().Unix(),
|
||
"choices": []map[string]any{
|
||
{
|
||
"index": 0,
|
||
"message": map[string]any{"role": "assistant", "content": "Hello from OpenAI!"},
|
||
"finish_reason": "stop",
|
||
},
|
||
},
|
||
"usage": map[string]any{
|
||
"prompt_tokens": 10,
|
||
"completion_tokens": 20,
|
||
"total_tokens": 30,
|
||
},
|
||
}
|
||
w.Header().Set("Content-Type", "application/json")
|
||
json.NewEncoder(w).Encode(resp)
|
||
})
|
||
|
||
createProviderAndModel(t, r, "openai_p", "openai", "gpt-4", upstream.URL)
|
||
|
||
anthropicReq := map[string]any{
|
||
"model": "openai_p/gpt-4",
|
||
"max_tokens": 1024,
|
||
"messages": []map[string]any{
|
||
{"role": "user", "content": "Hello"},
|
||
},
|
||
"stream": false,
|
||
}
|
||
body, _ := json.Marshal(anthropicReq)
|
||
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/anthropic/v1/messages", bytes.NewReader(body))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
|
||
assert.Equal(t, 200, w.Code)
|
||
|
||
var resp map[string]any
|
||
json.Unmarshal(w.Body.Bytes(), &resp)
|
||
assert.Equal(t, "message", resp["type"])
|
||
|
||
content := resp["content"].([]any)
|
||
require.Len(t, content, 1)
|
||
block := content[0].(map[string]any)
|
||
assert.Contains(t, block["text"], "Hello from OpenAI!")
|
||
}
|
||
|
||
// ============ 同协议透传测试 ============
|
||
|
||
func TestConversion_OpenAIToOpenAI_Passthrough(t *testing.T) {
|
||
r, _, upstream := setupConversionTest(t)
|
||
|
||
upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||
assert.Equal(t, "/chat/completions", r.URL.Path)
|
||
|
||
body, _ := io.ReadAll(r.Body)
|
||
var req map[string]any
|
||
json.Unmarshal(body, &req)
|
||
// Smart Passthrough: 请求体中的统一 ID 应被改写为上游模型名
|
||
assert.Equal(t, "gpt-4", req["model"])
|
||
|
||
w.Header().Set("Content-Type", "application/json")
|
||
// 上游返回上游模型名
|
||
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}}`))
|
||
})
|
||
|
||
createProviderAndModel(t, r, "openai_p", "openai", "gpt-4", upstream.URL)
|
||
|
||
reqBody := map[string]any{
|
||
"model": "openai_p/gpt-4", // 客户端发送统一 ID
|
||
"messages": []map[string]any{{"role": "user", "content": "test"}},
|
||
}
|
||
body, _ := json.Marshal(reqBody)
|
||
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/openai/chat/completions", bytes.NewReader(body))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
|
||
assert.Equal(t, 200, w.Code)
|
||
// Smart Passthrough: 响应体中的上游模型名应被改写为统一 ID
|
||
assert.Contains(t, w.Body.String(), `"model":"openai_p/gpt-4"`)
|
||
}
|
||
|
||
func TestConversion_AnthropicToAnthropic_Passthrough(t *testing.T) {
|
||
r, _, upstream := setupConversionTest(t)
|
||
|
||
upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||
assert.Equal(t, "/v1/messages", r.URL.Path)
|
||
|
||
body, _ := io.ReadAll(r.Body)
|
||
var req map[string]any
|
||
json.Unmarshal(body, &req)
|
||
// Smart Passthrough: 请求体中的统一 ID 应被改写为上游模型名
|
||
assert.Equal(t, "claude-3-opus", req["model"])
|
||
|
||
// 上游返回上游模型名
|
||
w.Header().Set("Content-Type", "application/json")
|
||
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}}`))
|
||
})
|
||
|
||
createProviderAndModel(t, r, "anthropic_p", "anthropic", "claude-3-opus", upstream.URL)
|
||
|
||
reqBody := map[string]any{
|
||
"model": "anthropic_p/claude-3-opus", // 客户端发送统一 ID
|
||
"max_tokens": 1024,
|
||
"messages": []map[string]any{{"role": "user", "content": "test"}},
|
||
}
|
||
body, _ := json.Marshal(reqBody)
|
||
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/anthropic/v1/messages", bytes.NewReader(body))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
|
||
assert.Equal(t, 200, w.Code)
|
||
// Smart Passthrough: 响应体中的上游模型名应被改写为统一 ID
|
||
assert.Contains(t, w.Body.String(), `"model":"anthropic_p/claude-3-opus"`)
|
||
}
|
||
|
||
// ============ 流式转换测试 ============
|
||
|
||
func TestConversion_OpenAIToAnthropic_Stream(t *testing.T) {
|
||
r, _, upstream := setupConversionTest(t)
|
||
|
||
upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||
w.Header().Set("Content-Type", "text/event-stream")
|
||
w.WriteHeader(http.StatusOK)
|
||
|
||
events := []string{
|
||
"event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_stream\",\"model\":\"claude-3-opus\",\"usage\":{\"input_tokens\":10,\"output_tokens\":0}}}\n\n",
|
||
"event: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\n",
|
||
"event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hi\"}}\n\n",
|
||
"event: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\n",
|
||
"event: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"output_tokens\":5}}\n\n",
|
||
"event: message_stop\ndata: {\"type\":\"message_stop\"}\n\n",
|
||
}
|
||
for _, e := range events {
|
||
w.Write([]byte(e))
|
||
if f, ok := w.(http.Flusher); ok {
|
||
f.Flush()
|
||
}
|
||
}
|
||
})
|
||
|
||
createProviderAndModel(t, r, "anthropic_p", "anthropic", "claude-3-opus", upstream.URL)
|
||
|
||
openaiReq := map[string]any{
|
||
"model": "anthropic_p/claude-3-opus",
|
||
"messages": []map[string]any{{"role": "user", "content": "Hello"}},
|
||
"stream": true,
|
||
}
|
||
body, _ := json.Marshal(openaiReq)
|
||
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/openai/chat/completions", bytes.NewReader(body))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
|
||
assert.Equal(t, 200, w.Code)
|
||
ct := w.Header().Get("Content-Type")
|
||
assert.Contains(t, ct, "text/event-stream")
|
||
}
|
||
|
||
func TestConversion_AnthropicToOpenAI_Stream(t *testing.T) {
|
||
r, _, upstream := setupConversionTest(t)
|
||
|
||
upstream.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||
w.Header().Set("Content-Type", "text/event-stream")
|
||
w.WriteHeader(http.StatusOK)
|
||
|
||
events := []string{
|
||
fmt.Sprintf("data: {\"id\":\"chatcmpl-s\",\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\"}}]}\n\n"),
|
||
"data: {\"id\":\"chatcmpl-s\",\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"Hey\"}}]}\n\n",
|
||
"data: {\"id\":\"chatcmpl-s\",\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"!\"}}]}\n\n",
|
||
"data: {\"id\":\"chatcmpl-s\",\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4\",\"choices\":[{\"index\":0,\"delta\":{},\"finish_reason\":\"stop\"}]}\n\n",
|
||
"data: [DONE]\n\n",
|
||
}
|
||
for _, e := range events {
|
||
w.Write([]byte(e))
|
||
if f, ok := w.(http.Flusher); ok {
|
||
f.Flush()
|
||
}
|
||
}
|
||
})
|
||
|
||
createProviderAndModel(t, r, "openai_p", "openai", "gpt-4", upstream.URL)
|
||
|
||
anthropicReq := map[string]any{
|
||
"model": "openai_p/gpt-4",
|
||
"max_tokens": 1024,
|
||
"messages": []map[string]any{{"role": "user", "content": "Hello"}},
|
||
"stream": true,
|
||
}
|
||
body, _ := json.Marshal(anthropicReq)
|
||
|
||
w := httptest.NewRecorder()
|
||
req := httptest.NewRequest("POST", "/anthropic/v1/messages", bytes.NewReader(body))
|
||
req.Header.Set("Content-Type", "application/json")
|
||
r.ServeHTTP(w, req)
|
||
|
||
assert.Equal(t, 200, w.Code)
|
||
ct := w.Header().Get("Content-Type")
|
||
assert.Contains(t, ct, "text/event-stream")
|
||
}
|
||
|
||
// ============ Models 接口测试 ============
|
||
|
||
func TestConversion_Models_CrossProtocol(t *testing.T) {
|
||
// 测试 Models 接口跨协议转换的编解码逻辑
|
||
// 由于 GET /models 无 body 无法路由，此处测试 adapter 级别的编解码
|
||
|
||
registry := conversion.NewMemoryRegistry()
|
||
require.NoError(t, registry.Register(openaiConv.NewAdapter()))
|
||
require.NoError(t, registry.Register(anthropic.NewAdapter()))
|
||
|
||
openaiAdapter, _ := registry.Get("openai")
|
||
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/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 路由匹配但协议不支持返回 400
|
||
assert.Equal(t, 400, 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, 400, 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
|