mirror of
https://github.com/alibaba/higress.git
synced 2026-06-09 04:37:31 +08:00
feat(wasm-go): add wasm go plugin unit test and ci workflow (#2809)
This commit is contained in:
Jingze
GitHub
866
plugins/wasm-go/extensions/ai-proxy/test/openai.go
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866
plugins/wasm-go/extensions/ai-proxy/test/openai.go
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@@ -0,0 +1,866 @@
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package test
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import (
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"encoding/json"
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"strings"
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"testing"
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"github.com/higress-group/proxy-wasm-go-sdk/proxywasm/types"
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"github.com/higress-group/wasm-go/pkg/test"
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"github.com/stretchr/testify/require"
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)
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// 测试配置：基本OpenAI配置
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var basicOpenAIConfig = func() json.RawMessage {
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data, _ := json.Marshal(map[string]interface{}{
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"provider": map[string]interface{}{
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"type": "openai",
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"apiTokens": []string{"sk-openai-test123456789"},
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"modelMapping": map[string]string{
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"*": "gpt-3.5-turbo",
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},
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},
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})
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return data
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}()
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// 测试配置：OpenAI多模型配置
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var openAIMultiModelConfig = func() json.RawMessage {
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data, _ := json.Marshal(map[string]interface{}{
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"provider": map[string]interface{}{
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"type": "openai",
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"apiTokens": []string{"sk-openai-multi-model"},
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"modelMapping": map[string]string{
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"gpt-3.5-turbo": "gpt-3.5-turbo",
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"gpt-4": "gpt-4",
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"text-embedding-ada-002": "text-embedding-ada-002",
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"dall-e-3": "dall-e-3",
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},
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},
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})
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return data
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}()
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// 测试配置：OpenAI自定义域名配置（直接路径）
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var openAICustomDomainDirectPathConfig = func() json.RawMessage {
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data, _ := json.Marshal(map[string]interface{}{
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"provider": map[string]interface{}{
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"type": "openai",
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"apiTokens": []string{"sk-openai-custom-domain"},
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"modelMapping": map[string]string{
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"*": "gpt-3.5-turbo",
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},
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"openaiCustomUrl": "https://custom.openai.com/v1",
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},
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})
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return data
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}()
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// 测试配置：OpenAI自定义域名配置（间接路径）
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var openAICustomDomainIndirectPathConfig = func() json.RawMessage {
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data, _ := json.Marshal(map[string]interface{}{
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"provider": map[string]interface{}{
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"type": "openai",
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"apiTokens": []string{"sk-openai-custom-domain"},
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"modelMapping": map[string]string{
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"*": "gpt-3.5-turbo",
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},
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"openaiCustomUrl": "https://custom.openai.com/api",
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},
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})
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return data
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}()
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// 测试配置：OpenAI完整配置（包含responseJsonSchema等字段）
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var completeOpenAIConfig = func() json.RawMessage {
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data, _ := json.Marshal(map[string]interface{}{
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"provider": map[string]interface{}{
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"type": "openai",
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"apiTokens": []string{"sk-openai-complete"},
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"modelMapping": map[string]string{
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"*": "gpt-3.5-turbo",
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},
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"responseJsonSchema": map[string]interface{}{
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"type": "json_object",
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},
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"failover": map[string]interface{}{
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"enabled": false,
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},
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"retryOnFailure": map[string]interface{}{
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"enabled": false,
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},
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},
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})
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return data
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}()
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func RunOpenAIParseConfigTests(t *testing.T) {
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test.RunGoTest(t, func(t *testing.T) {
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// 测试基本OpenAI配置解析
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t.Run("basic openai config", func(t *testing.T) {
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host, status := test.NewTestHost(basicOpenAIConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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config, err := host.GetMatchConfig()
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require.NoError(t, err)
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require.NotNil(t, config)
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})
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// 测试OpenAI多模型配置解析
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t.Run("openai multi model config", func(t *testing.T) {
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host, status := test.NewTestHost(openAIMultiModelConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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config, err := host.GetMatchConfig()
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require.NoError(t, err)
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require.NotNil(t, config)
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})
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// 测试OpenAI自定义域名配置（直接路径）
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t.Run("openai custom domain direct path config", func(t *testing.T) {
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host, status := test.NewTestHost(openAICustomDomainDirectPathConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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config, err := host.GetMatchConfig()
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require.NoError(t, err)
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require.NotNil(t, config)
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})
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// 测试OpenAI自定义域名配置（间接路径）
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t.Run("openai custom domain indirect path config", func(t *testing.T) {
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host, status := test.NewTestHost(openAICustomDomainIndirectPathConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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config, err := host.GetMatchConfig()
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require.NoError(t, err)
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require.NotNil(t, config)
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})
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// 测试OpenAI完整配置解析
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t.Run("openai complete config", func(t *testing.T) {
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host, status := test.NewTestHost(completeOpenAIConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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config, err := host.GetMatchConfig()
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require.NoError(t, err)
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require.NotNil(t, config)
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})
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})
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}
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func RunOpenAIOnHttpRequestHeadersTests(t *testing.T) {
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test.RunTest(t, func(t *testing.T) {
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// 测试OpenAI请求头处理（聊天完成接口）
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t.Run("openai chat completion request headers", func(t *testing.T) {
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host, status := test.NewTestHost(basicOpenAIConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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// 设置请求头
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action := host.CallOnHttpRequestHeaders([][2]string{
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{":authority", "example.com"},
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{":path", "/v1/chat/completions"},
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{":method", "POST"},
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{"Content-Type", "application/json"},
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})
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// 应该返回HeaderStopIteration，因为需要处理请求体
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require.Equal(t, types.HeaderStopIteration, action)
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// 验证请求头是否被正确处理
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requestHeaders := host.GetRequestHeaders()
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require.NotNil(t, requestHeaders)
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// 验证Host是否被改为OpenAI默认域名
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hostValue, hasHost := test.GetHeaderValue(requestHeaders, ":authority")
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require.True(t, hasHost, "Host header should exist")
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require.Equal(t, "api.openai.com", hostValue, "Host should be changed to OpenAI default domain")
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// 验证Authorization是否被设置
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authValue, hasAuth := test.GetHeaderValue(requestHeaders, "Authorization")
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require.True(t, hasAuth, "Authorization header should exist")
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require.Contains(t, authValue, "sk-openai-test123456789", "Authorization should contain OpenAI API token")
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// 验证Path是否被正确处理
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pathValue, hasPath := test.GetHeaderValue(requestHeaders, ":path")
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require.True(t, hasPath, "Path header should exist")
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require.Contains(t, pathValue, "/v1/chat/completions", "Path should contain chat completions endpoint")
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// 验证Content-Length是否被删除
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_, hasContentLength := test.GetHeaderValue(requestHeaders, "Content-Length")
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require.False(t, hasContentLength, "Content-Length header should be deleted")
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// 检查是否有相关的处理日志
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debugLogs := host.GetDebugLogs()
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hasOpenAILogs := false
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for _, log := range debugLogs {
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if strings.Contains(log, "openai") {
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hasOpenAILogs = true
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break
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}
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}
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require.True(t, hasOpenAILogs, "Should have OpenAI processing logs")
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})
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// 测试OpenAI请求头处理（嵌入接口）
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t.Run("openai embeddings request headers", func(t *testing.T) {
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host, status := test.NewTestHost(basicOpenAIConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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// 设置请求头
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action := host.CallOnHttpRequestHeaders([][2]string{
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{":authority", "example.com"},
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{":path", "/v1/embeddings"},
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{":method", "POST"},
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{"Content-Type", "application/json"},
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})
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require.Equal(t, types.HeaderStopIteration, action)
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// 验证嵌入接口的请求头处理
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requestHeaders := host.GetRequestHeaders()
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require.NotNil(t, requestHeaders)
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// 验证Host转换
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hostValue, hasHost := test.GetHeaderValue(requestHeaders, ":authority")
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require.True(t, hasHost)
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require.Equal(t, "api.openai.com", hostValue)
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// 验证Path转换
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pathValue, hasPath := test.GetHeaderValue(requestHeaders, ":path")
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require.True(t, hasPath)
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require.Contains(t, pathValue, "/v1/embeddings", "Path should contain embeddings endpoint")
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// 验证Authorization设置
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authValue, hasAuth := test.GetHeaderValue(requestHeaders, "Authorization")
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require.True(t, hasAuth, "Authorization header should exist for embeddings")
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require.Contains(t, authValue, "sk-openai-test123456789", "Authorization should contain OpenAI API token")
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})
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// 测试OpenAI请求头处理（图像生成接口）
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t.Run("openai image generation request headers", func(t *testing.T) {
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host, status := test.NewTestHost(basicOpenAIConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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// 设置请求头
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action := host.CallOnHttpRequestHeaders([][2]string{
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{":authority", "example.com"},
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{":path", "/v1/images/generations"},
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{":method", "POST"},
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{"Content-Type", "application/json"},
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})
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require.Equal(t, types.HeaderStopIteration, action)
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// 验证图像生成接口的请求头处理
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requestHeaders := host.GetRequestHeaders()
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require.NotNil(t, requestHeaders)
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// 验证Host转换
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hostValue, hasHost := test.GetHeaderValue(requestHeaders, ":authority")
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require.True(t, hasHost)
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require.Equal(t, "api.openai.com", hostValue)
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// 验证Path转换
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pathValue, hasPath := test.GetHeaderValue(requestHeaders, ":path")
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require.True(t, hasPath)
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require.Contains(t, pathValue, "/v1/images/generations", "Path should contain image generations endpoint")
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})
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// 测试OpenAI自定义域名请求头处理
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t.Run("openai custom domain request headers", func(t *testing.T) {
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host, status := test.NewTestHost(openAICustomDomainDirectPathConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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// 设置请求头
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action := host.CallOnHttpRequestHeaders([][2]string{
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{":authority", "example.com"},
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{":path", "/v1/chat/completions"},
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{":method", "POST"},
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{"Content-Type", "application/json"},
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})
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require.Equal(t, types.HeaderStopIteration, action)
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// 验证自定义域名的请求头处理
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requestHeaders := host.GetRequestHeaders()
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require.NotNil(t, requestHeaders)
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// 验证Host是否被改为自定义域名
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hostValue, hasHost := test.GetHeaderValue(requestHeaders, ":authority")
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require.True(t, hasHost)
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require.Equal(t, "custom.openai.com", hostValue, "Host should be changed to custom domain")
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// 验证Path是否被正确处理
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pathValue, hasPath := test.GetHeaderValue(requestHeaders, ":path")
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require.True(t, hasPath)
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// 对于直接路径，应该保持原有路径
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require.Contains(t, pathValue, "/v1/chat/completions", "Path should be preserved for direct custom path")
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})
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})
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}
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func RunOpenAIOnHttpRequestBodyTests(t *testing.T) {
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test.RunTest(t, func(t *testing.T) {
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// 测试OpenAI请求体处理（聊天完成接口）
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t.Run("openai chat completion request body", func(t *testing.T) {
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host, status := test.NewTestHost(basicOpenAIConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
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// 先设置请求头
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host.CallOnHttpRequestHeaders([][2]string{
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{":authority", "example.com"},
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{":path", "/v1/chat/completions"},
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{":method", "POST"},
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{"Content-Type", "application/json"},
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})
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// 设置请求体
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requestBody := `{"model":"gpt-3.5-turbo","messages":[{"role":"user","content":"test"}]}`
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action := host.CallOnHttpRequestBody([]byte(requestBody))
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require.Equal(t, types.ActionContinue, action)
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// 验证请求体是否被正确处理
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processedBody := host.GetRequestBody()
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require.NotNil(t, processedBody)
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// 验证模型名称是否被正确映射
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require.Contains(t, string(processedBody), "gpt-3.5-turbo", "Original model name should be preserved or mapped")
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// 检查是否有相关的处理日志
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debugLogs := host.GetDebugLogs()
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infoLogs := host.GetInfoLogs()
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// 验证是否有OpenAI相关的处理日志
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hasOpenAILogs := false
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for _, log := range debugLogs {
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if strings.Contains(log, "openai") {
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hasOpenAILogs = true
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break
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}
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}
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for _, log := range infoLogs {
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if strings.Contains(log, "openai") {
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hasOpenAILogs = true
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break
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}
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}
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require.True(t, hasOpenAILogs, "Should have OpenAI processing logs")
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})
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|
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// 测试OpenAI请求体处理（嵌入接口）
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t.Run("openai embeddings request body", func(t *testing.T) {
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host, status := test.NewTestHost(basicOpenAIConfig)
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defer host.Reset()
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require.Equal(t, types.OnPluginStartStatusOK, status)
|
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|
||||
// 先设置请求头
|
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host.CallOnHttpRequestHeaders([][2]string{
|
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{":authority", "example.com"},
|
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{":path", "/v1/embeddings"},
|
||||
{":method", "POST"},
|
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{"Content-Type", "application/json"},
|
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})
|
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// 设置请求体
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requestBody := `{"model":"text-embedding-ada-002","input":"test text"}`
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action := host.CallOnHttpRequestBody([]byte(requestBody))
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require.Equal(t, types.ActionContinue, action)
|
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|
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// 验证嵌入接口的请求体处理
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processedBody := host.GetRequestBody()
|
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require.NotNil(t, processedBody)
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|
||||
// 验证模型名称映射
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// 由于使用了通配符映射 "*": "gpt-3.5-turbo"，text-embedding-ada-002 会被映射为 gpt-3.5-turbo
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require.Contains(t, string(processedBody), "gpt-3.5-turbo", "Model name should be mapped via wildcard")
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||||
// 检查处理日志
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debugLogs := host.GetDebugLogs()
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hasEmbeddingLogs := false
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for _, log := range debugLogs {
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if strings.Contains(log, "embeddings") || strings.Contains(log, "openai") {
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hasEmbeddingLogs = true
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break
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||||
}
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||||
}
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||||
require.True(t, hasEmbeddingLogs, "Should have embedding processing logs")
|
||||
})
|
||||
|
||||
// 测试OpenAI请求体处理（图像生成接口）
|
||||
t.Run("openai image generation request body", func(t *testing.T) {
|
||||
host, status := test.NewTestHost(basicOpenAIConfig)
|
||||
defer host.Reset()
|
||||
require.Equal(t, types.OnPluginStartStatusOK, status)
|
||||
|
||||
// 先设置请求头
|
||||
host.CallOnHttpRequestHeaders([][2]string{
|
||||
{":authority", "example.com"},
|
||||
{":path", "/v1/images/generations"},
|
||||
{":method", "POST"},
|
||||
{"Content-Type", "application/json"},
|
||||
})
|
||||
|
||||
// 设置请求体
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||||
requestBody := `{"model":"dall-e-3","prompt":"test image"}`
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action := host.CallOnHttpRequestBody([]byte(requestBody))
|
||||
|
||||
require.Equal(t, types.ActionContinue, action)
|
||||
|
||||
// 验证图像生成接口的请求体处理
|
||||
processedBody := host.GetRequestBody()
|
||||
require.NotNil(t, processedBody)
|
||||
|
||||
// 验证模型名称映射
|
||||
// 由于使用了通配符映射 "*": "gpt-3.5-turbo"，dall-e-3 会被映射为 gpt-3.5-turbo
|
||||
require.Contains(t, string(processedBody), "gpt-3.5-turbo", "Model name should be mapped via wildcard")
|
||||
|
||||
// 检查处理日志
|
||||
debugLogs := host.GetDebugLogs()
|
||||
hasImageLogs := false
|
||||
for _, log := range debugLogs {
|
||||
if strings.Contains(log, "image") || strings.Contains(log, "openai") {
|
||||
hasImageLogs = true
|
||||
break
|
||||
}
|
||||
}
|
||||
require.True(t, hasImageLogs, "Should have image generation processing logs")
|
||||
})
|
||||
|
||||
// 测试OpenAI请求体处理（带responseJsonSchema配置）
|
||||
t.Run("openai request body with responseJsonSchema", func(t *testing.T) {
|
||||
host, status := test.NewTestHost(completeOpenAIConfig)
|
||||
defer host.Reset()
|
||||
require.Equal(t, types.OnPluginStartStatusOK, status)
|
||||
|
||||
// 先设置请求头
|
||||
host.CallOnHttpRequestHeaders([][2]string{
|
||||
{":authority", "example.com"},
|
||||
{":path", "/v1/chat/completions"},
|
||||
{":method", "POST"},
|
||||
{"Content-Type", "application/json"},
|
||||
})
|
||||
|
||||
// 设置请求体
|
||||
requestBody := `{"model":"gpt-3.5-turbo","messages":[{"role":"user","content":"test"}]}`
|
||||
action := host.CallOnHttpRequestBody([]byte(requestBody))
|
||||
|
||||
require.Equal(t, types.ActionContinue, action)
|
||||
|
||||
// 验证请求体是否被正确处理
|
||||
processedBody := host.GetRequestBody()
|
||||
require.NotNil(t, processedBody)
|
||||
|
||||
// 验证responseJsonSchema是否被应用
|
||||
// 注意：由于test框架的限制，我们可能需要检查日志或其他方式来验证处理结果
|
||||
require.Contains(t, string(processedBody), "gpt-3.5-turbo", "Model name should be preserved")
|
||||
|
||||
// 检查是否有相关的处理日志
|
||||
debugLogs := host.GetDebugLogs()
|
||||
hasSchemaLogs := false
|
||||
for _, log := range debugLogs {
|
||||
if strings.Contains(log, "response format") || strings.Contains(log, "openai") {
|
||||
hasSchemaLogs = true
|
||||
break
|
||||
}
|
||||
}
|
||||
require.True(t, hasSchemaLogs, "Should have response format processing logs")
|
||||
})
|
||||
})
|
||||
}
|
||||
|
||||
func RunOpenAIOnHttpResponseHeadersTests(t *testing.T) {
|
||||
test.RunTest(t, func(t *testing.T) {
|
||||
// 测试OpenAI响应头处理（聊天完成接口）
|
||||
t.Run("openai chat completion response headers", func(t *testing.T) {
|
||||
host, status := test.NewTestHost(basicOpenAIConfig)
|
||||
defer host.Reset()
|
||||
require.Equal(t, types.OnPluginStartStatusOK, status)
|
||||
|
||||
// 先设置请求头
|
||||
host.CallOnHttpRequestHeaders([][2]string{
|
||||
{":authority", "example.com"},
|
||||
{":path", "/v1/chat/completions"},
|
||||
{":method", "POST"},
|
||||
{"Content-Type", "application/json"},
|
||||
})
|
||||
|
||||
// 设置请求体
|
||||
requestBody := `{"model":"gpt-3.5-turbo","messages":[{"role":"user","content":"test"}]}`
|
||||
host.CallOnHttpRequestBody([]byte(requestBody))
|
||||
|
||||
// 设置响应头
|
||||
responseHeaders := [][2]string{
|
||||
{":status", "200"},
|
||||
{"Content-Type", "application/json"},
|
||||
{"X-Request-Id", "req-123"},
|
||||
}
|
||||
action := host.CallOnHttpResponseHeaders(responseHeaders)
|
||||
|
||||
require.Equal(t, types.ActionContinue, action)
|
||||
|
||||
// 验证响应头是否被正确处理
|
||||
processedResponseHeaders := host.GetResponseHeaders()
|
||||
require.NotNil(t, processedResponseHeaders)
|
||||
|
||||
// 验证状态码
|
||||
statusValue, hasStatus := test.GetHeaderValue(processedResponseHeaders, ":status")
|
||||
require.True(t, hasStatus, "Status header should exist")
|
||||
require.Equal(t, "200", statusValue, "Status should be 200")
|
||||
|
||||
// 验证Content-Type
|
||||
contentTypeValue, hasContentType := test.GetHeaderValue(processedResponseHeaders, "Content-Type")
|
||||
require.True(t, hasContentType, "Content-Type header should exist")
|
||||
require.Equal(t, "application/json", contentTypeValue, "Content-Type should be application/json")
|
||||
|
||||
// 检查是否有相关的处理日志
|
||||
debugLogs := host.GetDebugLogs()
|
||||
hasResponseLogs := false
|
||||
for _, log := range debugLogs {
|
||||
if strings.Contains(log, "response") || strings.Contains(log, "openai") {
|
||||
hasResponseLogs = true
|
||||
break
|
||||
}
|
||||
}
|
||||
require.True(t, hasResponseLogs, "Should have response processing logs")
|
||||
})
|
||||
|
||||
// 测试OpenAI响应头处理（嵌入接口）
|
||||
t.Run("openai embeddings response headers", func(t *testing.T) {
|
||||
host, status := test.NewTestHost(basicOpenAIConfig)
|
||||
defer host.Reset()
|
||||
require.Equal(t, types.OnPluginStartStatusOK, status)
|
||||
|
||||
// 先设置请求头
|
||||
host.CallOnHttpRequestHeaders([][2]string{
|
||||
{":authority", "example.com"},
|
||||
{":path", "/v1/embeddings"},
|
||||
{":method", "POST"},
|
||||
{"Content-Type", "application/json"},
|
||||
})
|
||||
|
||||
// 设置请求体
|
||||
requestBody := `{"model":"text-embedding-ada-002","input":"test text"}`
|
||||
host.CallOnHttpRequestBody([]byte(requestBody))
|
||||
|
||||
// 设置响应头
|
||||
responseHeaders := [][2]string{
|
||||
{":status", "200"},
|
||||
{"Content-Type", "application/json"},
|
||||
{"X-Embedding-Model", "text-embedding-ada-002"},
|
||||
}
|
||||
action := host.CallOnHttpResponseHeaders(responseHeaders)
|
||||
|
||||
require.Equal(t, types.ActionContinue, action)
|
||||
|
||||
// 验证响应头处理
|
||||
processedResponseHeaders := host.GetResponseHeaders()
|
||||
require.NotNil(t, processedResponseHeaders)
|
||||
|
||||
// 验证嵌入模型信息
|
||||
modelValue, hasModel := test.GetHeaderValue(processedResponseHeaders, "X-Embedding-Model")
|
||||
require.True(t, hasModel, "Embedding model header should exist")
|
||||
require.Equal(t, "text-embedding-ada-002", modelValue, "Embedding model should match configuration")
|
||||
})
|
||||
|
||||
// 测试OpenAI响应头处理（错误响应）
|
||||
t.Run("openai error response headers", func(t *testing.T) {
|
||||
host, status := test.NewTestHost(basicOpenAIConfig)
|
||||
defer host.Reset()
|
||||
require.Equal(t, types.OnPluginStartStatusOK, status)
|
||||
|
||||
// 先设置请求头
|
||||
host.CallOnHttpRequestHeaders([][2]string{
|
||||
{":authority", "example.com"},
|
||||
{":path", "/v1/chat/completions"},
|
||||
{":method", "POST"},
|
||||
{"Content-Type", "application/json"},
|
||||
})
|
||||
|
||||
// 设置请求体
|
||||
requestBody := `{"model":"gpt-3.5-turbo","messages":[{"role":"user","content":"test"}]}`
|
||||
host.CallOnHttpRequestBody([]byte(requestBody))
|
||||
|
||||
// 设置错误响应头
|
||||
errorResponseHeaders := [][2]string{
|
||||
{":status", "429"},
|
||||
{"Content-Type", "application/json"},
|
||||
{"Retry-After", "60"},
|
||||
}
|
||||
action := host.CallOnHttpResponseHeaders(errorResponseHeaders)
|
||||
|
||||
require.Equal(t, types.ActionContinue, action)
|
||||
|
||||
// 验证错误响应头处理
|
||||
processedResponseHeaders := host.GetResponseHeaders()
|
||||
require.NotNil(t, processedResponseHeaders)
|
||||
|
||||
// 验证错误状态码
|
||||
statusValue, hasStatus := test.GetHeaderValue(processedResponseHeaders, ":status")
|
||||
require.True(t, hasStatus, "Status header should exist")
|
||||
require.Equal(t, "429", statusValue, "Status should be 429 (Too Many Requests)")
|
||||
|
||||
// 验证重试信息
|
||||
retryValue, hasRetry := test.GetHeaderValue(processedResponseHeaders, "Retry-After")
|
||||
require.True(t, hasRetry, "Retry-After header should exist")
|
||||
require.Equal(t, "60", retryValue, "Retry-After should be 60 seconds")
|
||||
})
|
||||
})
|
||||
}
|
||||
|
||||
func RunOpenAIOnHttpResponseBodyTests(t *testing.T) {
|
||||
test.RunTest(t, func(t *testing.T) {
|
||||
// 测试OpenAI响应体处理（聊天完成接口）
|
||||
t.Run("openai chat completion response body", func(t *testing.T) {
|
||||
host, status := test.NewTestHost(basicOpenAIConfig)
|
||||
defer host.Reset()
|
||||
require.Equal(t, types.OnPluginStartStatusOK, status)
|
||||
|
||||
// 先设置请求头
|
||||
host.CallOnHttpRequestHeaders([][2]string{
|
||||
{":authority", "example.com"},
|
||||
{":path", "/v1/chat/completions"},
|
||||
{":method", "POST"},
|
||||
{"Content-Type", "application/json"},
|
||||
})
|
||||
|
||||
// 设置请求体
|
||||
requestBody := `{"model":"gpt-3.5-turbo","messages":[{"role":"user","content":"test"}]}`
|
||||
host.CallOnHttpRequestBody([]byte(requestBody))
|
||||
|
||||
// 设置响应头
|
||||
responseHeaders := [][2]string{
|
||||
{":status", "200"},
|
||||
{"Content-Type", "application/json"},
|
||||
}
|
||||
host.CallOnHttpResponseHeaders(responseHeaders)
|
||||
|
||||
// 设置响应体
|
||||
responseBody := `{
|
||||
"id": "chatcmpl-123",
|
||||
"object": "chat.completion",
|
||||
"created": 1677652288,
|
||||
"model": "gpt-3.5-turbo",
|
||||
"choices": [{
|
||||
"index": 0,
|
||||
"message": {
|
||||
"role": "assistant",
|
||||
"content": "Hello! How can I help you today?"
|
||||
},
|
||||
"finish_reason": "stop"
|
||||
}],
|
||||
"usage": {
|
||||
"prompt_tokens": 9,
|
||||
"completion_tokens": 12,
|
||||
"total_tokens": 21
|
||||
}
|
||||
}`
|
||||
action := host.CallOnHttpResponseBody([]byte(responseBody))
|
||||
|
||||
require.Equal(t, types.ActionContinue, action)
|
||||
|
||||
// 验证响应体是否被正确处理
|
||||
processedResponseBody := host.GetResponseBody()
|
||||
require.NotNil(t, processedResponseBody)
|
||||
|
||||
// 验证响应体内容
|
||||
responseStr := string(processedResponseBody)
|
||||
require.Contains(t, responseStr, "chat.completion", "Response should contain chat completion object")
|
||||
require.Contains(t, responseStr, "assistant", "Response should contain assistant role")
|
||||
require.Contains(t, responseStr, "usage", "Response should contain usage information")
|
||||
|
||||
// 检查是否有相关的处理日志
|
||||
debugLogs := host.GetDebugLogs()
|
||||
hasResponseBodyLogs := false
|
||||
for _, log := range debugLogs {
|
||||
if strings.Contains(log, "response") || strings.Contains(log, "body") || strings.Contains(log, "openai") {
|
||||
hasResponseBodyLogs = true
|
||||
break
|
||||
}
|
||||
}
|
||||
require.True(t, hasResponseBodyLogs, "Should have response body processing logs")
|
||||
})
|
||||
|
||||
// 测试OpenAI响应体处理（嵌入接口）
|
||||
t.Run("openai embeddings response body", func(t *testing.T) {
|
||||
host, status := test.NewTestHost(basicOpenAIConfig)
|
||||
defer host.Reset()
|
||||
require.Equal(t, types.OnPluginStartStatusOK, status)
|
||||
|
||||
// 先设置请求头
|
||||
host.CallOnHttpRequestHeaders([][2]string{
|
||||
{":authority", "example.com"},
|
||||
{":path", "/v1/embeddings"},
|
||||
{":method", "POST"},
|
||||
{"Content-Type", "application/json"},
|
||||
})
|
||||
|
||||
// 设置请求体
|
||||
requestBody := `{"model":"text-embedding-ada-002","input":"test text"}`
|
||||
host.CallOnHttpRequestBody([]byte(requestBody))
|
||||
|
||||
// 设置响应头
|
||||
responseHeaders := [][2]string{
|
||||
{":status", "200"},
|
||||
{"Content-Type", "application/json"},
|
||||
}
|
||||
host.CallOnHttpResponseHeaders(responseHeaders)
|
||||
|
||||
// 设置响应体
|
||||
responseBody := `{
|
||||
"object": "list",
|
||||
"data": [{
|
||||
"object": "embedding",
|
||||
"embedding": [0.1, 0.2, 0.3, 0.4, 0.5],
|
||||
"index": 0
|
||||
}],
|
||||
"model": "text-embedding-ada-002",
|
||||
"usage": {
|
||||
"prompt_tokens": 5,
|
||||
"total_tokens": 5
|
||||
}
|
||||
}`
|
||||
action := host.CallOnHttpResponseBody([]byte(responseBody))
|
||||
|
||||
require.Equal(t, types.ActionContinue, action)
|
||||
|
||||
// 验证响应体处理
|
||||
processedResponseBody := host.GetResponseBody()
|
||||
require.NotNil(t, processedResponseBody)
|
||||
|
||||
// 验证嵌入响应内容
|
||||
responseStr := string(processedResponseBody)
|
||||
require.Contains(t, responseStr, "embedding", "Response should contain embedding object")
|
||||
require.Contains(t, responseStr, "0.1", "Response should contain embedding vector")
|
||||
require.Contains(t, responseStr, "text-embedding-ada-002", "Response should contain model name")
|
||||
})
|
||||
|
||||
// 测试OpenAI响应体处理（图像生成接口）
|
||||
t.Run("openai image generation response body", func(t *testing.T) {
|
||||
host, status := test.NewTestHost(basicOpenAIConfig)
|
||||
defer host.Reset()
|
||||
require.Equal(t, types.OnPluginStartStatusOK, status)
|
||||
|
||||
// 先设置请求头
|
||||
host.CallOnHttpRequestHeaders([][2]string{
|
||||
{":authority", "example.com"},
|
||||
{":path", "/v1/images/generations"},
|
||||
{":method", "POST"},
|
||||
{"Content-Type", "application/json"},
|
||||
})
|
||||
|
||||
// 设置请求体
|
||||
requestBody := `{"model":"dall-e-3","prompt":"test image"}`
|
||||
host.CallOnHttpRequestBody([]byte(requestBody))
|
||||
|
||||
// 设置响应头
|
||||
responseHeaders := [][2]string{
|
||||
{":status", "200"},
|
||||
{"Content-Type", "application/json"},
|
||||
}
|
||||
host.CallOnHttpResponseHeaders(responseHeaders)
|
||||
|
||||
// 设置响应体
|
||||
responseBody := `{
|
||||
"created": 1677652288,
|
||||
"data": [{
|
||||
"url": "https://example.com/image1.png",
|
||||
"revised_prompt": "test image"
|
||||
}]
|
||||
}`
|
||||
action := host.CallOnHttpResponseBody([]byte(responseBody))
|
||||
|
||||
require.Equal(t, types.ActionContinue, action)
|
||||
|
||||
// 验证响应体处理
|
||||
processedResponseBody := host.GetResponseBody()
|
||||
require.NotNil(t, processedResponseBody)
|
||||
|
||||
// 验证图像生成响应内容
|
||||
responseStr := string(processedResponseBody)
|
||||
require.Contains(t, responseStr, "data", "Response should contain data array")
|
||||
require.Contains(t, responseStr, "url", "Response should contain image URL")
|
||||
require.Contains(t, responseStr, "revised_prompt", "Response should contain revised prompt")
|
||||
})
|
||||
})
|
||||
}
|
||||
|
||||
func RunOpenAIOnStreamingResponseBodyTests(t *testing.T) {
|
||||
// 测试OpenAI响应体处理（流式响应）
|
||||
test.RunTest(t, func(t *testing.T) {
|
||||
t.Run("openai streaming response body", func(t *testing.T) {
|
||||
host, status := test.NewTestHost(basicOpenAIConfig)
|
||||
defer host.Reset()
|
||||
require.Equal(t, types.OnPluginStartStatusOK, status)
|
||||
|
||||
// 先设置请求头
|
||||
host.CallOnHttpRequestHeaders([][2]string{
|
||||
{":authority", "example.com"},
|
||||
{":path", "/v1/chat/completions"},
|
||||
{":method", "POST"},
|
||||
{"Content-Type", "application/json"},
|
||||
})
|
||||
|
||||
// 设置流式请求体
|
||||
requestBody := `{"model":"gpt-3.5-turbo","messages":[{"role":"user","content":"test"}],"stream":true}`
|
||||
host.CallOnHttpRequestBody([]byte(requestBody))
|
||||
|
||||
// 设置流式响应头
|
||||
responseHeaders := [][2]string{
|
||||
{":status", "200"},
|
||||
{"Content-Type", "text/event-stream"},
|
||||
}
|
||||
host.CallOnHttpResponseHeaders(responseHeaders)
|
||||
|
||||
// 模拟流式响应体
|
||||
chunk1 := `data: {"id":"chatcmpl-123","object":"chat.completion.chunk","choices":[{"delta":{"role":"assistant"},"index":0}]}
|
||||
|
||||
`
|
||||
chunk2 := `data: {"id":"chatcmpl-123","object":"chat.completion.chunk","choices":[{"delta":{"content":"Hello"},"index":0}]}
|
||||
|
||||
`
|
||||
chunk3 := `data: {"id":"chatcmpl-123","object":"chat.completion.chunk","choices":[{"delta":{"content":"!"},"index":0}]}
|
||||
|
||||
`
|
||||
chunk4 := `data: [DONE]
|
||||
|
||||
`
|
||||
|
||||
// 处理流式响应体
|
||||
action1 := host.CallOnHttpStreamingResponseBody([]byte(chunk1), false)
|
||||
require.Equal(t, types.ActionContinue, action1)
|
||||
|
||||
action2 := host.CallOnHttpStreamingResponseBody([]byte(chunk2), false)
|
||||
require.Equal(t, types.ActionContinue, action2)
|
||||
|
||||
action3 := host.CallOnHttpStreamingResponseBody([]byte(chunk3), false)
|
||||
require.Equal(t, types.ActionContinue, action3)
|
||||
|
||||
action4 := host.CallOnHttpStreamingResponseBody([]byte(chunk4), true)
|
||||
require.Equal(t, types.ActionContinue, action4)
|
||||
|
||||
// 验证流式响应处理
|
||||
// 注意：流式响应可能不会在GetResponseBody中累积，需要检查日志或其他方式验证
|
||||
debugLogs := host.GetDebugLogs()
|
||||
hasStreamingLogs := false
|
||||
for _, log := range debugLogs {
|
||||
if strings.Contains(log, "streaming") || strings.Contains(log, "chunk") || strings.Contains(log, "openai") {
|
||||
hasStreamingLogs = true
|
||||
break
|
||||
}
|
||||
}
|
||||
require.True(t, hasStreamingLogs, "Should have streaming response processing logs")
|
||||
})
|
||||
})
|
||||
}
|
||||
Reference in New Issue
Block a user