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AskaEth 3dc1232bc2
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docs(comments): 注释中文化 · internal/runtime/model + internal/services/backthink(54 文件,纯替换)
- 只翻注释/文档字符串:`go/scanner` 剥注释后按 token 序列+literal 逐 token 比对,**54/54 文件 SAME**;
  改动文件总行数与 HEAD 漂移 = 0(严格 1:1,无合并/拆行)
- 裁决编号与 design 节号逐字保留(03.4.1/03.4.2/03.4.3/14.4.1/14.4.5/07.4.2-4、design/04 §3.1/§3.2 等);
  `chat_template_kwargs` / `enable_thinking` / `reasoning_effort` / `thinking:{type}` 字段名与形状说明未动
- 存疑译法(已登记):`persona` 在叙事语境用「角色」、标识符语境保留 `persona`(仓库既有模块本身混用);
  `rung`→「级」;`provider` 存在「提供商/提供者」两种落笔(可按需一键统一)
- 复核:build/vet 绿 + 两包测试绿;gofmt 干净;残留英文注释 0 条
- 既有存量(未修,只报告):`model/anthropic_test.go` 612 行 >500;`applyAnthropicEvent` 115 行 >80
2026-10-04 16:27:54 +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 降级符合「openai 默认」(提供商不是 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) {
// 文件缺失 → env 降级的提供商/模型。
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 {
// 没有真实端点没关系;适配器应报 ErrNoModel,而不是 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-flash"},
})
m := NewRuntimeLLM(path, rtEnv(), nil)
if m.Provider() != ProviderOpenAI || m.Model() != "deepseek-flash" {
t.Fatalf("Provider=%q Model=%q, want openai/deepseek-flash", 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())
}
// 用 anthropic 提供商/模型重写该文件,然后重载。
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 {
// nil 链意味着配置里没有 base/model;我们的测试文件里有,
// 所以一次换入必须总能产出链。仍然加一道守护。
t.Error("chain is nil during concurrent read")
return
}
}
}()
}
// 在读方自旋期间重载若干次。
for i := 0; i < 200; i++ {
if err := m.Reload(); err != nil {
t.Fatalf("reload %d: %v", i, err)
}
}
close(stop)
wg.Wait()
}