Files
t 18c9354095 refactor: 将客服后端重构为宿主可嵌入模块
- 注入数据库、运行时配置、统一响应、文件存储和平台 AI 能力,补充业务读写工具与客户快捷操作契约。

- 移除模块内重复的组织、客户、工单、标签、技能、旧工作流、MCP 和迁移实现,将身份权限与业务主体交由宿主管理。

- 使用 libSQL 重构向量存储,并完善图片消息、访客身份、排队调度、企业微信和支持聊天页面。

- 统一 HTTP、DTO 与 WebSocket 的 snake_case 协议,补齐模块初始化、业务动作和公共载荷等回归测试。
2026-08-28 22:23:13 +08:00

198 lines
6.2 KiB
Go

package ai
import (
"context"
"encoding/json"
"errors"
"net/http"
"net/http/httptest"
"strings"
"testing"
"code.tczkiot.com/wlw/ai-agent/contract"
"code.tczkiot.com/wlw/ai-agent/internal/pkg/enums"
)
type platformAITestProvider struct {
config *contract.PlatformAIConfig
configCalls *int
source string
}
func (p platformAITestProvider) ModelSource(context.Context) (string, error) {
return p.source, nil
}
func (p platformAITestProvider) Config(context.Context) (*contract.PlatformAIConfig, error) {
if p.configCalls != nil {
*p.configCalls = *p.configCalls + 1
}
return p.config, nil
}
func (p platformAITestProvider) Status(context.Context) (*contract.PlatformAIStatus, error) {
return &contract.PlatformAIStatus{Enabled: true}, nil
}
func TestEmbeddingUsesPlatformAIProvider(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/v1/embeddings" {
t.Errorf("unexpected path: %s", r.URL.Path)
}
if got := r.Header.Get("Authorization"); got != "Bearer test-platform-key" {
t.Errorf("unexpected authorization header: %q", got)
}
var body map[string]any
if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
t.Errorf("decode request: %v", err)
return
}
if got := body["model"]; got != "qwen3.7-text-embedding" {
t.Errorf("unexpected embedding model: %v", got)
}
w.Header().Set("Content-Type", "application/json")
_, _ = w.Write([]byte(`{
"object":"list",
"data":[{"object":"embedding","index":0,"embedding":[0.1,0.2,0.3]}],
"model":"qwen3.7-text-embedding",
"usage":{"prompt_tokens":2,"total_tokens":2}
}`))
}))
defer server.Close()
SetPlatformAIProvider(platformAITestProvider{
source: contract.ModelSourcePlatform,
config: &contract.PlatformAIConfig{
APIKey: "test-platform-key",
BaseURL: server.URL + "/v1",
EmbeddingDimension: 3,
EmbeddingModel: "qwen3.7-text-embedding",
HTTPClient: server.Client(),
MaxRetryCount: 0,
},
})
t.Cleanup(func() { SetPlatformAIProvider(nil) })
result, err := Embedding.GenerateEmbedding(context.Background(), "hello")
if err != nil {
t.Fatalf("generate platform embedding: %v", err)
}
if result.ModelName != "qwen3.7-text-embedding" || result.Dimension != 3 || result.TokensUsed != 2 {
t.Fatalf("unexpected embedding result: %+v", result)
}
}
func TestPlatformEmbeddingRequiresEnabledConfiguration(t *testing.T) {
SetPlatformAIProvider(platformAITestProvider{
source: contract.ModelSourcePlatform,
config: &contract.PlatformAIConfig{
APIKey: "license-signed",
BaseURL: "https://example.com/v1",
EmbeddingDimension: 0,
EmbeddingModel: "",
},
})
t.Cleanup(func() { SetPlatformAIProvider(nil) })
_, err := Embedding.GetModel(context.Background())
if err == nil {
t.Fatal("expected disabled platform embedding to be rejected")
}
}
func TestResolveAIConfigConsumesIndependentPlatformTaskModels(t *testing.T) {
SetPlatformAIProvider(platformAITestProvider{
source: contract.ModelSourcePlatform,
config: &contract.PlatformAIConfig{
APIKey: "platform-managed",
BaseURL: "https://platform.example/v1",
ChatEnabled: true,
ChatModel: "qwen-plus",
VisionEnabled: true,
VisionModel: "qwen3-vl-plus",
EmbeddingEnabled: true,
EmbeddingModel: "qwen3.7-text-embedding",
EmbeddingDimension: 1024,
},
})
t.Cleanup(func() { SetPlatformAIProvider(nil) })
chat, err := ResolveAIConfig(context.Background(), enums.AIModelTypeLLM, 0)
if err != nil {
t.Fatalf("resolve platform chat: %v", err)
}
if !chat.ChatEnabled || chat.ModelName != "qwen-plus" || !chat.VisionEnabled || chat.VisionModel != "qwen3-vl-plus" {
t.Fatalf("unexpected platform chat config: %+v", chat)
}
embedding, err := ResolveAIConfig(context.Background(), enums.AIModelTypeEmbedding, 0)
if err != nil {
t.Fatalf("resolve platform embedding: %v", err)
}
if !embedding.EmbeddingEnabled || embedding.ModelName != "qwen3.7-text-embedding" || embedding.Dimension != 1024 {
t.Fatalf("unexpected platform embedding config: %+v", embedding)
}
}
func TestResolveAIConfigRejectsExplicitlyDisabledPlatformChat(t *testing.T) {
SetPlatformAIProvider(platformAITestProvider{
source: contract.ModelSourcePlatform,
config: &contract.PlatformAIConfig{
APIKey: "platform-managed",
BaseURL: "https://platform.example/v1",
ChatEnabled: false,
ChatModel: "qwen-plus",
},
})
t.Cleanup(func() { SetPlatformAIProvider(nil) })
_, err := ResolveAIConfig(context.Background(), enums.AIModelTypeLLM, 0)
if err == nil || !strings.Contains(err.Error(), "chat model is not enabled") {
t.Fatalf("expected explicit disabled chat error, got %v", err)
}
}
func TestResolveVisionAIConfigDoesNotDependOnPlatformChat(t *testing.T) {
SetPlatformAIProvider(platformAITestProvider{
source: contract.ModelSourcePlatform,
config: &contract.PlatformAIConfig{
APIKey: "platform-managed",
BaseURL: "https://platform.example/v1",
ChatEnabled: false,
ChatModel: "qwen-plus",
VisionEnabled: true,
VisionModel: "qwen3-vl-plus",
},
})
t.Cleanup(func() { SetPlatformAIProvider(nil) })
config, err := ResolveVisionAIConfig(context.Background(), 0)
if err != nil {
t.Fatalf("resolve independent platform vision: %v", err)
}
if config.ChatEnabled || !config.VisionEnabled || config.ModelName != "qwen3-vl-plus" {
t.Fatalf("unexpected independent platform vision config: %+v", config)
}
}
func TestPlatformRerankNeverFallsBackToCustomConfig(t *testing.T) {
configCalls := 0
SetPlatformAIProvider(platformAITestProvider{
source: contract.ModelSourcePlatform,
configCalls: &configCalls,
config: &contract.PlatformAIConfig{
APIKey: "license-signed",
BaseURL: "https://platform.example/v1",
ModelName: "platform-default",
},
})
t.Cleanup(func() { SetPlatformAIProvider(nil) })
if _, err := ResolveAIConfig(context.Background(), enums.AIModelTypeRerank, 0); !errors.Is(err, ErrPlatformModelUnsupported) {
t.Fatal("expected unsupported platform rerank to fail without reading a local config")
}
if configCalls != 0 {
t.Fatalf("platform Config() calls = %d, want 0 for unsupported rerank", configCalls)
}
}