Files
Cyrene_v2/internal/runtime/model/runtime_test.go
T
Aska 2d7151f979
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feat(config): 运行时配置体系①——LLM 多厂商独立组落 models.json + 面板落盘 + 热更新
- runtimeconfig/models.go: models.json 承载 [{id,provider,baseUrl,apiKey,model,fallback?,multimodal?}] 多厂商独立组(首项=生效)
- LoadModels 优先文件/回退env(GroupFromEnv), SaveModels(0600+tmp原子写), Activate/Upsert/MaskedKey脱敏
- 面板 POST /admin/llm 落盘 models.json(取代temporary内存) + GET 列组(脱敏)
- runtime/model/runtime.go: RuntimeLLM(adapter+router) atomic快照可热替换, Reload 重建不中断进行中请求; per-role路由用接口
- wire 用 NewRuntimeLLM(adapter+router), 保留 a.modelAdapter(=runtime stack, 审查模型随热更新)
- .env 退兜底(.env.example注明); apiKey不打印/Config()脱敏/热更新不中断
- 全仓 go build/vet/test 绿(54包)+交叉编译+前端build绿(79模块); api-client v0.15已同步
- 遗留: vision ModelInfo 仍读静态env(后续纳入); 保存组=生效组(第一版语义)
2026-09-07 13:07:58 +08:00

149 lines
4.5 KiB
Go

package model
import (
"context"
"path/filepath"
"sync"
"testing"
"git.yeij.top/AskaEth/Cyrene_v2/internal/config"
"git.yeij.top/AskaEth/Cyrene_v2/internal/config/runtimeconfig"
)
func rtEnv() config.LLMConfig {
// Env fallback matches "openai default" (provider not anthropic).
return config.LLMConfig{
Provider: ProviderOpenAI,
BaseURL: "https://api.openai.com/v1",
APIKey: "sk-env",
Model: "gpt-4o",
}
}
func writeRTFile(t *testing.T, groups []runtimeconfig.Group) string {
t.Helper()
path := filepath.Join(t.TempDir(), "models.json")
if err := runtimeconfig.SaveModels(path, groups); err != nil {
t.Fatalf("SaveModels: %v", err)
}
return path
}
func TestRuntimeLLM_EnvFallback(t *testing.T) {
// Missing file → env fallback provider/model.
m := NewRuntimeLLM(filepath.Join(t.TempDir(), "nope.json"), rtEnv(), nil)
if m.Provider() != ProviderOpenAI || m.Model() != "gpt-4o" {
t.Fatalf("fallback Provider=%q Model=%q, want openai/gpt-4o", m.Provider(), m.Model())
}
chain, router := m.Current()
if router == nil {
t.Fatal("router is nil after env fallback")
}
if chain == nil {
// No real endpoint is fine; the adapter should report ErrNoModel, not panic.
if _, err := m.Chat(context.Background(), Request{Messages: nil}, Options{}); err != ErrNoModel {
t.Fatalf("Chat on empty config err = %v, want ErrNoModel", err)
}
}
}
func TestRuntimeLLM_FileLoad(t *testing.T) {
path := writeRTFile(t, []runtimeconfig.Group{
{ID: "deepseek", Provider: ProviderOpenAI, BaseURL: "https://api.deepseek.com/v1", APIKey: "sk-ds", Model: "deepseek-chat"},
})
m := NewRuntimeLLM(path, rtEnv(), nil)
if m.Provider() != ProviderOpenAI || m.Model() != "deepseek-chat" {
t.Fatalf("Provider=%q Model=%q, want openai/deepseek-chat", m.Provider(), m.Model())
}
if m.Group().ID != "deepseek" {
t.Fatalf("Group().ID = %q, want deepseek", m.Group().ID)
}
}
func TestRuntimeLLM_ReloadReflectsNewProviderModel(t *testing.T) {
path := writeRTFile(t, []runtimeconfig.Group{
{ID: "openai", Provider: ProviderOpenAI, BaseURL: "https://api.openai.com/v1", APIKey: "sk-1", Model: "gpt-4o"},
})
m := NewRuntimeLLM(path, rtEnv(), nil)
if m.Model() != "gpt-4o" {
t.Fatalf("before reload Model = %q, want gpt-4o", m.Model())
}
// Rewrite the file with an anthropic provider/model, then reload.
if err := runtimeconfig.SaveModels(path, []runtimeconfig.Group{
{ID: "claude", Provider: ProviderAnthropic, BaseURL: "https://api.anthropic.com", APIKey: "sk-ant", Model: "claude-sonnet-4"},
}); err != nil {
t.Fatalf("SaveModels: %v", err)
}
if err := m.Reload(); err != nil {
t.Fatalf("Reload: %v", err)
}
if m.Provider() != ProviderAnthropic || m.Model() != "claude-sonnet-4" {
t.Fatalf("after reload Provider=%q Model=%q, want anthropic/claude-sonnet-4", m.Provider(), m.Model())
}
chain, router := m.Current()
if router == nil || chain == nil {
t.Fatal("after reload Current() returned nil chain/router")
}
}
func TestRuntimeLLM_ImplementsAdapterAndRouter(t *testing.T) {
path := writeRTFile(t, []runtimeconfig.Group{
{ID: "openai", Provider: ProviderOpenAI, BaseURL: "https://x", APIKey: "sk", Model: "m"},
})
m := NewRuntimeLLM(path, rtEnv(), nil)
var _ Adapter = m
var _ ModelRouter = m
if m.Name() != "openai" {
t.Fatalf("Name = %q, want openai", m.Name())
}
modelName, _ := m.RouteRequest(Request{})
if modelName != "m" {
t.Fatalf("RouteRequest = %q, want the active model m", modelName)
}
}
func TestRuntimeLLM_ConcurrentReadDuringReloadNoPanic(t *testing.T) {
path := writeRTFile(t, []runtimeconfig.Group{
{ID: "openai", Provider: ProviderOpenAI, BaseURL: "https://api.openai.com/v1", APIKey: "sk-1", Model: "gpt-4o"},
})
m := NewRuntimeLLM(path, rtEnv(), nil)
const readers = 8
var wg sync.WaitGroup
stop := make(chan struct{})
for i := 0; i < readers; i++ {
wg.Add(1)
go func() {
defer wg.Done()
for {
select {
case <-stop:
return
default:
}
_ = m.Provider()
_ = m.Model()
chain, router := m.Current()
if router == nil {
t.Error("router is nil during concurrent read")
return
}
if chain == nil {
// A nil chain means the config had no base/model; our test file has one,
// so a swap must always produce a chain. Guard anyway.
t.Error("chain is nil during concurrent read")
return
}
}
}()
}
// Reload a number of times while the readers spin.
for i := 0; i < 200; i++ {
if err := m.Reload(); err != nil {
t.Fatalf("reload %d: %v", i, err)
}
}
close(stop)
wg.Wait()
}